When is it appropriate, or not, to use language negotiation?
Language negotiation is a function of the HTTP protocol which lets a server choose among several language versions of a page, based on
the URL and on preference information sent by the browser (specifically in the Accept-Language
header). This is distinct from page
selection based on the IP address of the browser or from a manual selection by the user on a language-selection page. If there is no match between
the preferences expressed by the browser and the languages available on the server, either a language-selection page is shown or a default language
is served.
In many cases, the initial user agent setting for language preferences is okay. For example, if you have a Japanese version of a browser, the browser typically assumes that you prefer pages in Japanese, and sends this information to the server. Mainstream browsers allow you to modify these language preferences. For more information see Setting language preferences in a browser.
This article addresses the question of when it is appropriate (or not) to set up language negotiation on the server.
The short answer is: always.
A slightly longer answer is: almost always, but not alone.
Language negotiation does not always work as intended; there are techniques to make up for the shortcomings; one should also provide for stickiness in navigation.
Language negotiation is evidently a useful thing, but before implementing it across the board, it is important to understand its limits. To illustrate these, we will use the example of a site, www.example.be, that offers its content in Flemish, French and German, implements language negotiation and defaults to Flemish for all pages. Our visitor, Sylvia, will be Italian-speaking, but able to deal with German. Several situations may arise:
Hopefully the picture is now clear: language negotiation does not always give the intended result.
Additionally, language negotiation is not even relevant when pages are not equivalent, i.e. do not have essentially the same content in different languages. The article Monolingual vs. multilingual Web sites sheds some light on this, see in particular the "Multilingual, same content" and "Multilingual, changed content" sub-sections. Note however that some measure of cultural adaptation (e.g. changing the currency) does not necessarily make pages non-equivalent; the non-equivalence limitation to language negotiation really exists when a site is adapted so that pages in different languages do not correspond to one another any more.
Despite its limitations, language negotiation is a useful function and it is desirable to implement it in multilingual sites. But the shortcomings must be addressed. In short, it is important to provide means for visitors to override the automatic choice of language when it is wrong. This means putting some interface elements in the page (we'll call them language controls here) that link to the other available languages. These controls must of course be clearly visible and understandable by a visitor who has no familiarity with the language of the currently displayed page.
One question that arises is: should language negotiation and manual language controls be implemented for all pages, or only for the home page? The best answer is "all pages", except those sets of pages that are not sufficiently equivalent. Language negotiation is good because, if Jaap emails a link inside www.example.be to Pierre, Pierre will be happy to get the French version, even though Jaap read the Flemish one. Language controls must also be provided, whether negotiation is implemented or not. If negotiation is absent, Pierre will need controls to get the French version from Jaap's link; even if it is there, Sylvia will need to switch to German manually in situations 2 and 3 above.
By the way, some sites choose to return a special-purpose language selection page when there is no match between the visitor's preferences and the available languages (www.example.be could do that instead of returning Flemish). This has the advantages of making the situation clear and of not giving one language precedence over the others, which may be a politically sensitive issue. Unfortunately, some sites always return this special page (for the home page) instead of implementing language negotiation. This forces everyone to always go through that page while offering no apparent advantage. Bad human factors design.
Suppose Sylvia visits www.example.be and gets Flemish (situation 2 or 3). She then clicks on the German control and reads on, no real trouble. But she then clicks on a link to get to an interesting page within the site. Oops, Flemish again! Fortunately, the German control is still there, but after a couple of such detours she's getting understandably frustrated. Can't www.example.be just remember that she can't read Flemish? What is needed here is some stickiness of the explicit language selection.
There are a couple of ways that www.example.be can provide this stickiness. Which one to choose will depend on the underlying technology available on the server and on the level of effort that can be expended.
If the site implements a session mechanism (for instance using cookies), then it is a fairly simple matter to arrange for language to be part of the session state. Once Sylvia clicks on the German control, this gets stored (either in the cookie itself or in the server, to be matched by a session number in the cookie) and from then on she gets German when navigating the site. The cookie can even be made persistent (although this makes privacy issues more acute), so that Sylvia gets German pages automatically the next time she returns to www.example.be. Sites that provide a login mechanism can also store language preferences as part of each user's profile, and serve pages accordingly. Language negotiation is then used only for users that have not yet logged in.
Another way to diminish frustration is to make all internal links within the site be language-specific. In the German home
page, links to deeper pages would be of the form href="company/about.de.html"
(instead of company/about.html
, which
would be language-generic)*. Navigation is then constrained to remain in German, until overridden by the special language controls. This has
a couple of downsides, however. One is that all internal links become translatable material, increasing the cost of translation as well as the
potential for errors. Another is that if Jaap sends a link to Pierre, the URL (picked up from the browser's address bar) will be language-specific;
Pierre will then get the Flemish page. Neither of these downsides is horrible, however, so using language-specific links is probably the way to go
if stickiness cannot be provided through a session state or profile mechanism.
The HTTP Accept-Language
header is not the only source of language information available. All browsers also send a User-Agent
header identifying the browser's make, version number and in some cases language version. This can be used to guess at the
user's preferred language if the Accept-Language
header is missing, but it is less reliable and more limited (one language only) than
Accept-Language
. Use with extreme care.
Language negotiation is only one aspect of HTTP content negotiation. Other aspects that can be automatically negotiated are the media type (i.e. the format: HTML, PDF or plain text for instance), the character encoding and the transfer encoding (encrypted, compressed, etc.). Language negotiation is the most useful and most used.


This is a
very
simple jquery input to ui binder
For more info and download please refer to the Github page :
GitHub
Default behavior, i will change when the 'change' event is triggered.
The input below will change me on 'keyup'
The input below will change my color
The input below will change my link
The nice select box Says :
...
--Choone an Item--
Apple
Orange
Tomato
The textarea is not left alone of course :)
There once ...
Whatever you write below will be reversed


The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper and its Supporting Information files.
Dengue is the most prevalent human arboviral disease. The morbidity related to dengue infection supports the need for an early, quick and effective diagnostic test. Brazil is a hotspot for dengue, but no serological diagnostic test has been produced using Brazilian dengue virus isolates. This study aims to improve the development of immunodiagnostic methods for dengue virus (DENV) detection through the production and characterization of 22 monoclonal antibodies (mAbs) against Brazilian isolates of DENV-1, -2 and -3. The mAbs include IgG2bκ, IgG2aκ and IgG1κ isotypes, and most were raised against the envelope or the pre-membrane proteins of DENV. When the antibodies were tested against the four DENV serotypes, different reactivity patterns were identified: group-specific, subcomplex specific (DENV-1, -3 and -4 and DENV-2 and -3) and dengue serotype-specific (DENV-2 or -3). Additionally, some mAbs cross-reacted with yellow fever virus (YFV), West Nile virus (WNV) and Saint Louis encephalitis virus (SLEV). None of the mAbs recognized the alphavirus Venezuelan equine encephalitis virus (VEEV). Furthermore, mAbs D3 424/8G, D1 606/A12/B9 and D1 695/12C/2H were used to develop a capture enzyme-linked immunosorbent assay (ELISA) for anti-dengue IgM detection in sera from patients with acute dengue. To our knowledge, these are the first monoclonal antibodies raised against Brazilian DENV isolates, and they may be of special interest in the development of diagnostic assays, as well as for basic research.
Dengue is one of the most prevalent arboviral diseases in tropical and subtropical regions of the world. Over 40% of the world’s population lives in areas at risk of transmission, and there are an estimated 390 million dengue infections each year, of which 96 million manifest disease symptoms [1] . Additionally, it is believed that ∼500,000 cases result in severe disease and ∼12,500 in death each year [2] , [3] .
Dengue virus (DENV), the causative agent of dengue, is a positive-sense single-stranded RNA virus that belongs to the genus Flavivirus, family Flaviviridae. The virus is transmitted by Aedes ( Stegomyia) mosquitoes and is classified into four antigenically distinct but closely related serotypes (DENV-1 to -4) [4] . All four DENV serotypes manifest in a wide spectrum of clinical presentations, including severe (hemorrhagic fever, DHF; or shock syndrome, DSS) and non-severe diseases (dengue fever, DF) [5] . DENV infection symptoms are not sufficiently specific to allow clinical differentiation from other acute febrile illnesses, especially in areas where multiple tropical diseases such as malaria, yellow fever, West Nile disease and Saint Louis encephalitis are endemic [6] . There are several dengue vaccine candidates under development, but none is licensed and available [7] . Additionally, there is no specific treatment for dengue, and the most effective protective measures are those that lower the risk of mosquito bites. Thus, early diagnosis is crucial to reducing morbidity and mortality from DHF and DSS.
Laboratory diagnosis of dengue is based on viral isolation in cell culture, reverse-transcriptase/polymerase-chain reaction (RT-PCR) and serological assays [8] , [9] , [10] , [11] . Several immunoassays for DENV, such as enzyme immunoassays, immunochromatographic and dot-blot assays, are commercially available [10] , [12] , [13] , [14] , [15] . The IgM antibody capture enzyme-linked immunosorbent assay (MAC-ELISA) is the assay of choice for the serological diagnosis of primary dengue-virus infection [11] . Combined with IgG titers, this assay allows the diagnosis of secondary dengue infection. Furthermore, both IgM and IgG dengue ELISAs are useful tools for seroepidemiological dengue surveillance and can be applied in studies of DENV pathogenesis and host-pathogen relationships [16] , [17] .
Antibodies have been used in recent decades to diagnose several viral diseases and in investigations of viral structure [18] , [19] , [20] , [21] , [22] ; however, the heterogeneity of the polyclonal antibodies used in tests can lead to problems in the interpretation, reproducibility and standardization of the assays. To overcome these limitations, several monoclonal antibodies (mAbs) able to bind to specific antigens have been developed [20] , [23] , [24] , [25] . The first serotype-specific mAbs against DENV were developed by Dittmar et al. (1980) [26] . Monoclonal antibodies against DENV have been successfully used for the identification of viral serotypes, flavivirus differentiation and epidemiological studies, as well as for dengue diagnosis and immunotherapy studies [10] , [27] , [28] , [29] , [30] , [31] , [32] , [33] , [34] , [35] .
This study reports the development and characterization of twenty-two mAbs against Brazilian DENV isolates. From this panel, three mAbs were tested in an IgM capture assay for the detection of acute dengue patients in Brazil. The monoclonal antibodies generated were group-specific, subcomplex-specific and serotype-specific, representing essential tools for dengue- and serotype-specific diagnosis. Thus, these antibodies have the potential to increase the specificity and sensitivity of dengue diagnosis in Brazil and throughout South America.
The mouse myeloma cell line P3x63Ag8.653 (kindly supplied by Dr. Carlos R. Zanetti, from Laboratório de Imunologia Aplicada, at Universidade Federal de Santa Catarina, Florianópolis, Brazil; ATCC CRL-1580) and hybridomas were maintained in RPMI-1640 medium (Cultilab, Campinas, Brazil) supplemented with 20% fetal bovine serum (FBS–Gibco, Grand Island, USA), 23.8 mM sodium bicarbonate, 2.0 mM L-glutamine, 1.0 mM sodium pyruvate, 9.6 mM HEPES and antibiotics (100 IU/ml penicillin, 100 µg/ml streptomycin and 0.25 µg/ml amphotericin B – Sigma-Aldrich, Steinheim, Germany) at 37°C in a 5% CO
The serotypes DENV-1 (BR/01-MR and BR/90), -2 (BR/01-01 and ICC 266), -3 (290-02) and -4 (TVP 360) were used in this study. DENV-4 TVP 360 is a World Health Organization reference strain, kindly supplied by Dr. Ricardo Galler from Fundação Oswaldo Cruz, Rio de Janeiro, Brazil. DENV-1 BR/01-MR (GenBank AF513110.1) and BR/90 (GenBank AF226685.2); DENV-2 BR/01-01 (GenBank JX073928) and ICC 266 (not sequenced); and DENV3 290-02 (GenBank EF629369.1) are clinical isolates from dengue fever obtained in Brazil between 1990 and 2004. All viruses were amplified and titrated by the foci-forming assay in C6/36 cells [36] . The yellow fever virus (YFV) 17DD vaccine strain (BioManguinhos, Fiocruz, Brazil) was obtained after three passages and titration in Vero cells [37] . The Saint Louis encephalitis virus (SLEV) 78V6507 strain, isolated from Culex pipiens quinquefasciatus mosquitoes from Santa Fé Province, Argentina [38] ; West Nile virus (WNV) E/7229/06, isolated from a dead horse from Buenos Aires Province, Argentina [39] ; and Venezuelan equine encephalitis virus (VEEV) TC38 vaccine strain [40] were kindly supplied by Dr. Marta S. Contiginani from Instituto de Virología Dr. J.M. Vanella, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba.
Ethics statements for all animal procedures were approved by the Ethical Committee on Animal Research of the Universidade Federal do Paraná under the protocol no. 23075.031314/2008-41. Four young adult (30- to 45-day-old) BALB/c mice were used in the immunization protocols for each DENV serotype. All animals were maintained at the Animal Facility of the Instituto Carlos Chagas – FIOCRUZ/PR with water and food ad libitum and a light-dark cycle of 12 h/12 h.
Animals were bled by caudal puncture for extraction of pre-immune serum and then immunized with five doses of 1×10 6 ffu
Three days after the final immunization, the mice were anesthetized with ketamine/xylazine (100 and 10 mg/kg, respectively) via the intraperitoneal route and bled by cardiac puncture to obtain post-immune sera. After post-immune sera were obtained, the animals were euthanized by cervical dislocation. Their spleens were removed aseptically, and splenocytes were fused with P3x63Ag8.653 cells using polyethylene glycol (MW 3000–3700; Sigma-Aldrich), as previously described [20] . Hybrid cells were selected by growth in RPMI-1640 (as described above) plus 100 µM hypoxanthine, 0.4 µM aminopterine and 16 µM thymidine (HAT medium–Sigma-Aldrich) for 14 days. The hybridoma supernatants were screened by indirect immunofluorescence assay (IFA), as described below. Hybridomas whose supernatants showed positive results on IFA were stabilized by two successive freeze-thaw cycles. Cells that remained positive after two cycles were subjected to two rounds of the limiting dilution method and stored in liquid nitrogen. The immunoglobulin isotypes of the mAbs were determined using the SBA Clonotyping System/HRP (Southern Biotech, Birmingham, USA), following the manufacturer’s instructions.
Hybridomas secreting antibodies against DENV were selected by IFA on DENV-infected C6/36 cells and on control uninfected C6/36 cells (MOCK). C6/36 cells (1.0×10 5 cells/well in 96-well plates) were infected with the corresponding DENV isolate at a multiplicity of infection (MOI) of 1. Cells were fixed 72 h post-infection with methanol:acetone (1∶1 v/v) for at least 30 min at –20°C. Hybridoma supernatants (100 µL) containing the first antibodies were added and incubated for 30 min at 37°C. To detect reactive antibodies, the infected cells were incubated for 1 h at 37°C with Alexa Fluor 488-conjugated anti-mouse immunoglobulins (Sigma–Aldrich). Cell nuclei were labeled with 300 nM of 4′,6-diamidino-2-phenylindole (DAPI) for 5 minutes, followed by 3 washes with 1x PBS. The flavivirus-specific mAb 4G2 (hybridoma D1-4G2-4-15, ATCC HB-112) and a non-correlated mAb that recognizes hantavirus nucleoprotein (clone 572/7A) [20] were used as positive and negative controls, respectively. The immunofluorescence images were captured with a Leica AF6000 Modular System.
To investigate the specificity of mAbs to DENV proteins, mAbs were used in western blot (WB) assays with the corresponding DENV serotypes. Dengue viruses were obtained from the supernatant of C6/36 cells infected with a MOI of 0.01. Each virus serotype was concentrated by polyethylene glycol precipitation using PEG 8000 at a final concentration of 7%, and purified by sedimentation through a 30%/60% sucrose (in TNE – 20 mM Tris pH 8.0, 150 mM NaCl, 2 mM EDTA) cushion. Further, purified DENV were inactivated by gamma irradiation.
Viral proteins had previously been quantified with the Micro BCA Protein Assay kit (Pierce, Rockford, USA). Three micrograms of purified gamma-irradiated DENV-1 BR/01-MR or DENV-2 BR/01-01, or 12 µg of DENV-3 290-02, were mixed with Laemmli sample buffer, boiled for 3 min and loaded into 13% SDS-PAGE gels [41] . Viral proteins were transferred to nitrocellulose membranes (GE-Healthcare, Little Chalfont, UK). Membranes were incubated first with 5% non-fat milk in TBS-T (20 mM Tris, 137 mM NaCl, pH 7.6, containing 0.05% Tween 20) and then with hybridoma supernatants. Monoclonal antibodies 4G2 and anti-hantavirus 572/7A were used as positive and negative controls, respectively. Anti-mouse IgG conjugated to alkaline phosphatase (1∶7,500; Sigma-Aldrich) was used as a secondary antibody. All incubation steps were conducted for 1 h at room temperature. The reaction was developed using a solution of NBT (nitroblue tetrazolium) and BCIP (5-bromo-4-chloro-3-indolyl-phosphate) (Promega, Madison, USA). mAbs produced against the DENV-2 isolate were also tested by WB with a recombinant domain III peptide from DENV-2 envelope protein (∼12 kDa) expressed in a prokaryotic system. Furthermore, mAbs produced against DENV-3 were tested by IFA with a truncated recombinant E protein from DENV-3 (DENV-3 E Δ
The reactivity of the mAbs against the four serotypes of DENV was determined using the IFA. C6/36 cells were infected with the DENV-1 (BR/90), -2 (ICC 266), -3 (290-02) or -4 (TVP 360) isolates at a MOI of 1. After 72 h of infection, the cells were fixed in methanol:acetone and assayed by IFA, as previously described. The reactivity of each mAb against the Huh7.5 cells infected with the YFV 17DD strain, the SLEV 78V6507 isolate and the VEEV TC83 strain and Vero E6 cells infected with the WNV E/7229/06 isolate at MOIs of 1 (2.0×10 4 cells/well) was also assayed by IFA after 72 h, as previously described.
The antibodies were coupled with horseradish peroxidase (HRP) according to a modified periodate procedure [42] . Briefly, mAbs D3 424/8G, D1 606/A12/B9 and D1 695/12C/2H were purified on a protein-G column (GE-Healthcare) according to the manufacturer’s instructions. HRP was structurally modified by sodium periodate and dialyzed against sodium-acetate buffer (pH 4.4) over 16 h at 4°C. The purified mAb diluted in sodium carbonate was added to the HRP solution and mixed for 2 h at room temperature, followed by the addition of a sodium borohydride solution. After 2 h, conjugated antibodies were purified by ammonium sulfate precipitation [43] . The performance of the mAbs D3 424/8G-HRP, D1 606/A12/B9-HRP and D1 695/12C/2H-HRP conjugate was evaluated by an in-house MAC-ELISA using gamma-irradiated purified DENV particles. A MAC-ELISA was performed as described by Takasaki et al. (2002) [44] , with minor modifications. A total of twenty-two human serum samples from patients with dengue fever and twenty-four dengue-negative human sera kindly supplied by State Central Laboratory LACEN/PR were tested (Fiocruz Research Ethics Committee under protocol 617-11). A dengue IgM capture ELISA from PanBio (PanBio, Queensland, Australia) was used to diagnose samples for comparison with the results of the in-house assay.
The fusion experiments (one for DENV-1, one for DENV-2 and another for DENV-3) generated a total of 1,100 hybridomas, which were screened by IFA to evaluate the presence of anti-DENV antibodies. One hundred forty-seven hybridomas (13.4%) were positive for antibody secretion against the corresponding DENV isolate, with different fluorescence levels. The clones were stabilized through two freeze-thaw cycles, resulting in 22 stable hybridomas. Three of these hybridomas produced antibodies against DENV-1 BR/01-MR; three produced antibodies against DENV-2 BR/01-01; and sixteen produced antibodies against DENV-3 BR 290-02. Antibody isotyping revealed ten IgG2b mAbs, seven IgG2a and five IgG1, all possessing kappa light chains ( Table 1 ).
| mAb | DENV serotype for immunization | Isotype | Reactivity against | Virion protein | |||
| DENV 1 | DENV 2 | DENV 3 | DENV 4 | ||||
| D1 463/G6/H2 | DENV 1 | IgG1κ | + | − | + | + | E |
| D1 695/12C/2H | DENV 1 | IgG1κ | + | + | + | + | E |
| D1 606/A12/B9 | DENV 1 | IgG1κ | + | + | + | + | prM |
| D2 646/9G | DENV 2 | IgG2aκ | − | + | − | − | N.D. |
| D2 658/9A | DENV 2 | IgG2aκ | − | + | − | − | N.D. |
| D2 332/2D | DENV 2 | IgG2aκ | − | + | − | − | E |
| D3 342/5G/G8 | DENV 3 | IgG2aκ | − | − | + | − | E |
| D3 388/4A/G6 | DENV 3 | IgG1κ | − | − | + | − | E |
| D3 444/4G/H3 | DENV 3 | IgG2bκ | − | − | + | − | E |
| D3 389/F4/H10 | DENV 3 | IgG1κ | − | − | + | − | E |
| D3 441/D1/H2 | DENV 3 | IgG2bκ | − | − | + | − | E |
| D3 290/4C/G9 | DENV 3 | IgG2aκ | − | − | + | − | E |
| D3 341/H9/F10 | DENV 3 | IgG2aκ | − | − | + | − | E |
| D3 344/H1 | DENV 3 | IgG2bκ | − | − | + | − | E * |
| D3 442/4E/G8 | DENV 3 | IgG2bκ | − | − | + | − | E |
| D3 242/F1/H2 | DENV 3 | IgG2aκ | − | + | + | − | E |
| D3 424/8G | DENV 3 | IgG2bκ | + | + | + | + | E |
| D3 863/G7/H7 | DENV 3 | IgG2bκ | + | + | + | + | prM |
| D3 457/H7/H2 | DENV 3 | IgG2bκ | + | + | + | + | prM |
| D3 443/H12/H6 | DENV 3 | IgG2bκ | + | + | + | + | prM |
| D3 868/G7/H10 | DENV 3 | IgG2bκ | + | + | + | + | prM |
| D3 63/F2/G7 | DENV 3 | IgG2bκ | + | + | + | + | E ** |
N.D. not determined; − negative; + positive; E, envelope protein; prM, pre-membrane protein;
*Did not react in the western blot, but recognize recombinant DENV-3 E Δ
**Reacted in the western blot, but did not recognize recombinant DENV-3 E Δ
Western blot analysis with purified DENV particles showed that fourteen mAbs recognized the envelope protein (E) and five recognized the pre-membrane protein (prM; Figure 1; Figure S1). Additionally, mAbs D2 646/9G, D2 658/9A, and D3 344/H1 showed no reaction to the viral structural proteins on western blot assays ( Figure 1). Monoclonal antibodies against DENV-2 were also tested against a recombinant peptide from domain III of the DENV-2 E protein. D2 332/2D reacted specifically to domain III of the E protein while D2 646/9G and D2 658/9A did not ( Figure S1). Additionally, on IFA, mAb D3 344/H1 bound the recombinant E protein of DENV-3 expressed on Drosophila S2 cells, suggesting that it is directed to a conformational epitope of the E protein ( Figure S2).
Purified gamma-irradiated DENV-1 BR/01-MR (A), DENV-2 BR/01-01 (B), and DENV-3 290-02 (C) were subjected to 13% SDS-PAGE and electroblotted onto nitrocellulose membranes. Proteins were stained with the mAbs, followed by anti-mouse IgG conjugated to alkaline phosphatase. The flavivirus-specific mAb 4G2 and a non-correlated mAb that binds to hantavirus nucleoprotein (clone 572/7A) were used as positive (+) and negative (−) controls, respectively.
Interestingly, mAb D3 63/F2/G7 recognized the E protein in the western blot but not in the IFA against recombinant DENV-3 E Δ
To investigate whether the mAbs could be used for diagnostic and epidemiological purposes, the mAbs were assessed for specificity to the different DENV serotypes and to other flaviviruses. The mAbs were assayed against the DENV-1 (BR/90), -2 (ICC 266), -3 (290-02) and -4 (TVP 360) isolates. Several recognition patterns were identified: group-specific (DENV-1, -2, -3 and -4), subcomplex-specific (DENV-1, -3 and -4, and DENV-2 and -3) and serotype-specific (DENV-2 or -3). Eight mAbs recognized the four DENV serotypes. One mAb reacted with DENV serotypes 1, 3 and 4, and one reacted with serotypes 2 and 3. Three mAbs reacted specifically to serotype 2 and nine reacted to serotype 3 ( Table 1 and Figure 2). All mAbs showed the same characteristic staining pattern in IFA in C6/36 infected cells, with a strong perinuclear stain, as illustrated in the reaction with mAb D3 424/8G ( Figure 2).
Indirect immunofluorescence of C6/36 cells uninfected (MOCK) or infected with DENV-1 (BR/90), DENV-2 (ICC 266), DENV-3 (290-02) and DENV-4 (TVP 360) isolates. Cells were fixed in methanol:acetone and stained with different mAbs, followed by Alexa-Fluor 488-conjugated anti-mouse immunoglobulin. Monoclonal antibody 4G2 and a non-correlated anti-hantavirus mAb (clone 572/7A) were used as positive and negative controls, respectively. Distinct groups of mAbs were raised against DENV: 1) group-specific (D3 424/8G); 2) subcomplex-specific (Anti-DENV-1, anti-DENV-3 and anti-DENV-4; clone D1 463/G6/H2); and 3) serotype-specific (anti-DENV-3 D3 290/4C/G9) mAbs. Images were produced in a Leica AF6000 Modular System. Scale bars are 30 µm.
Moreover, the reactivity of the mAbs was also tested against YFV 17DD, the SLEV 78V6507 isolate, the WNV E/7229/06 isolate and the VEEV TC38 strain. D3 424/8G recognized SLEV, WNV and YFV and did not cross-react with the alphavirus VEEV, suggesting that it is flavivirus-specific ( Figure 3 and Table 2 ). Monoclonal antibodies directed against prM from DENV, D3 443/H12/H6, D3 457/H7/H2, D3 863/G7/H7 and D3 868/G7/H10 recognized the four DENV serotypes, SLEV and WNV but did not react against YFV or VEEV ( Table 2 ). The positive control 4G2 reacted with all dengue serotypes ( Figure 2) and other flaviviruses ( Figure 3). As expected, anti-hantavirus mAb (572/7A) did not react with any of the viruses tested ( Figures 2 and 3).
Vero E6 cells were infected with WNV (A), whereas Huh7.5 cells were infected with YFV and SLEV (B). Cells were fixed in methanol:acetone and stained with mAbs, followed by Alexa-Fluor 488-conjugated anti-mouse immunoglobulin. Monoclonal antibody 4G2 and a non-correlated anti-hantavirus mAb (572/7A) were used as positive and negative controls, respectively. Images were obtained with a Leica AF6000 Modular System. Scale bars are 30 µm.
| mAb | Reactivity against | |||
| YFV | SLEV | WNV | VEEV | |
| D1 463/G6/H2 | − | − | − | − |
| D1 695/12C/2H | − | − | − | − |
| D1 606/A12/B9 | − | − | − | − |
| D2 646/9G | − | − | − | − |
| D2 658/9A | − | − | − | − |
| D2 332/2D | − | − | − | − |
| D3 342/5G/G8 | − | − | − | − |
| D3 388/4A/G6 | − | − | − | − |
| D3 444/4G/H3 | − | − | − | − |
| D3 389/F4/H10 | − | − | − | − |
| D3 441/D1/H2 | − | − | − | − |
| D3 290/4C/G9 | − | − | − | − |
| D3 341/H9/F10 | − | − | − | − |
| D3 344/H1 | − | − | − | − |
| D3 442/4E/G8 | − | − | − | − |
| D3 242/F1/H2 | − | − | − | − |
| D3 424/8G | + | + | + | − |
| D3 863/G7/H7 | − | + | + | − |
| D3 457/H7/H2 | − | + | + | − |
| D3 443/H12/H6 | − | + | + | − |
| D3 868/G7/H10 | − | + | + | − |
| D3 63/F2/G7 | − | − | − | − |
−: negative;
+: positive.
Finally, mAbs D3 424/8G, D1 606/A12/B9 and D1 695/12C/2H were successfully conjugated to HRP for use in diagnostic assays. The three monoclonal antibodies were used to detect dengue virus antigen in human serum samples using an in-house MAC-ELISA ( Figure 4). These results are consistent with those from the commercially available PanBio IgM capture assay kit. This method could thus be used to differentiate between negative and positive samples.
HRP-conjugated D3 424/8G, D1 606/A12/B9 and D1 695/12C/2H mAbs were used in an in-house MAC-ELISA assay to detect anti-dengue virus IgM in the sera of infected (N = 22) and non-infected patients (N = 24).
Dengue is hyperendemic to tropical and subtropical regions of the world. In Brazil, more than seven million dengue cases have been confirmed since 1986, causing more than two thousand deaths [45] . The co-circulation of the four DENV serotypes and the wide distribution of the mosquito vector Aedes aegypti are most likely responsible for the increased incidence and distribution of dengue. Severe clinical manifestations have also increased in recent years, suggesting that dengue should remain a public health priority in Brazil [46] . Therefore, early and accurate diagnosis is essential to reducing morbidity and mortality related to dengue. Commercial kits for dengue diagnosis must be imported at great expense to the Brazilian Ministry of Health.
In this report, we describe the production and characterization of 22 mAbs against Brazilian DENV from the clinical isolates of DENV serotypes 1 (BR-01/MR), 2 (BR/01-01) or 3 (BR 290-02). All of the mAbs showed the same characteristic staining pattern in IFA, with a strong perinuclear stain tending to spread throughout the cytoplasm in fluorescent granules. This observation is consistent with the distribution of DENV-2 proteins observed by Cardiff et al. (1973) [47] , who observed an intense perinuclear fluorescence radiating into the cytoplasm in a granular pattern of decreasing intensity. Henchal et al. (1982) found the same fluorescence pattern with monoclonal antibodies after infecting LLC-MK2 cells with a different flavivirus [29] . Both structural and non-structural proteins may localize in the perinuclear region before virus release, causing intense perinuclear staining in this region, whereas cytoplasmic fluorescence is associated with virion antigens [47] .
Western blot and IFA analyses showed that most of the mAbs produced in this study are specific to the E or the prM proteins of DENV. The mice were immunized with the virion particle, and DENV does not replicate well in immunocompetent mice [48] , [49] . Usually, structural proteins are the major antigens that stimulate the immune response [50] . In humans, proteins E and prM, together with the non-structural protein 1 (NS1), are the major targets of the antibody response during DENV infection, especially in primary infection [51] , [52] .
The envelope protein from DENV-2, recognized by both the mAbs D2 332/2D and the positive control 4G2, appeared as two bands in the WB, which may represent different glycosylation patterns of the E protein [53] . The other antibodies raised against DENV-2 (D2 646/9G and D2 658/9A) did not recognize DENV antigens in the IFA and WB assays. These mAbs may recognize a non-structural protein or a conformational epitope in structural proteins. D3 342/5G/G8, D3 290/4C/G9, D3 341/H9/F10, D3 424/G8 and the positive control, 4G2, recognized bands that may represent dimeric and trimeric forms of the DENV E protein, suggesting the presence of epitopes exposed in the three different forms of dengue E protein [54] . Also, variability on band intensities observed in WB could be due to differences in mAbs concentration since unpurified supernatants have been used in the assays.
Additionally, mAb D3 63/F2/G7 recognized DENV-3-E protein only in the WB assay and not recombinant DENV-3 E Δ
Some flavivirus epitopes are also shared by other viruses in this family. mAbs raised against JEV E protein cross-reacted against Murray Valley encephalitis (MVE), WNV, SLE and DENV-1 and -2 [58] . Aside from the four dengue serotypes, the monoclonal antibody D3 424/8G generated in this study recognizes WNV, SLE and YFV. It thus represents a candidate for the development of flavivirus diagnostic assays. Henchal et al. (1982) developed antibodies that recognize flavivirus group-specific viruses, the four DENV serotypes, YFV, WNV, SLEV, Ntaya virus (NTA), Langat virus (LGT), Kunjin virus (Kun), Japanese encephalitis virus (JEV), Ilheus virus (ILH), Banzi virus (BAN) and Zika virus [29] . Additionally, dengue complex-specific (four DENV serotypes), subcomplex-specific (DENV-1, DENV-3) and serotype-specific mAbs were raised [29] .
Serological diagnosis of flavivirus infections is difficult due to the extensive antigenic cross-reactivity among these viruses [58] . Well-characterized dengue-specific mAbs are thus powerful tools. To evaluate the applicability of mAbs to the development of immunoassays for dengue virus detection, dengue group-specific anti-E D1 695/12C/2H, anti-prM D1 606/A12/B9 and a flavivirus-specific anti-E D3 424/8G were used in an in-house IgM-capture assay. HRP-conjugated mAbs were successfully used in an anti-IgM capture immunoassay for dengue [59] . Additionally, serotype-specific mAbs ( Table 1 ) could be valuable in an ELISA for serotyping dengue infections [60] . Furthermore, murine mAbs have also been used to detect DENV by immunohistochemistry [31] , indicating another possible use for dengue mAbs conjugated to HRP. Finally, mAbs could also be labeled with other molecules such as fluorochromes or colloidal gold for routine dengue diagnosis in other formats.
In conclusion, twenty-two mAbs raised against Brazilian dengue virus isolates, including flavivirus cross-reactive, dengue-group specific, dengue subcomplex-specific and dengue serotype-specific mAbs, may be useful for the development of immunoassays such as ELISA, immunochromatographic assays, dot-blot assays and immunofluorescence assays [10] , [14] , [44] . To our knowledge, these are the first mAbs against dengue virus isolates circulating in Brazil to be developed and characterized. These mAbs thus have the potential to increase the specificity of dengue diagnosis in this region.
Western blot analysis of DENV-2 mAbs reactivity against Domain III of E protein expressed in E. coli . Recombinant Domain III of E protein was subjected to 15% SDS-PAGE and electroblotted onto nitrocellulose membranes. Domain III (∼12 kDa) were stained with the mAbs D2 332/2D, D2 658/9A and D2 646/9G, followed by anti-mouse IgG conjugated to alkaline phosphatase. A mouse polyclonal anti-DENV-2 serum was used as positive control.
(TIF)
Click here for additional data file.
Monoclonal reactivities on immunofluorescence assay (IFA) against recombinant DENV-3
E Δ
(TIF)
Click here for additional data file.
Reactivity with recombinant DENV-3 E Δ
(PDF)
Click here for additional data file.
The authors thank the Program for Technological Development in Tools for Health-PDTIS-FIOCRUZ for use of its facilities (RPT07C, Microscopy Platform at the Instituto Carlos Chagas/Fiocruz-PR, Brazil).


|
|
Functions | |
| pan_char_t const * | pantheios_getStockSeverityString (pan_sev_t severity) |
| Returns a constant pointer to a non-NULL non-modifiable nul-terminated string representing the severity level. | |
| size_t | pantheios_getStockSeverityStringLength (pan_sev_t severity) |
| Returns the length of the string returned by pantheios_getSeverityString(). | |
| char const * | pantheios_getInitCodeString (int code) |
| Returns a constant pointer to a non-NULL non-modifiable nul-terminated string representing the initialisation code. | |
| size_t | pantheios_getInitCodeStringLength (int code) |
| Returns the length of the string returned by pantheios_getInitCodeString(). |
| char const* pantheios::pantheios_getInitCodeString | ( | int | code | ) |
Returns a constant pointer to a non-NULL non-modifiable nul-terminated string representing the initialisation code.
| code | The initialisation code whose string explanation is to be returned. If the error code is not recognised, the empty string ("" ) will be returned. |
| size_t pantheios::pantheios_getInitCodeStringLength | ( | int | code | ) |
Returns the length of the string returned by pantheios_getInitCodeString().
| code | The initialisation code whose string equivalent is to be returned. If the error code is not recognised, 0 will be returned. |
| pan_char_t const* pantheios::pantheios_getStockSeverityString | ( | pan_sev_t | severity | ) |
Returns a constant pointer to a non-NULL non-modifiable nul-terminated string representing the severity level.
| severity | The severity level whose string equivalent is to be returned. Must be one of the PANTHEIOS_SEV_* enumerators, otherwise, the empty string ("" ) will be returned. |
| size_t pantheios::pantheios_getStockSeverityStringLength | ( | pan_sev_t | severity | ) |
Returns the length of the string returned by pantheios_getSeverityString().
| severity | The severity level whose string equivalent is to be returned. Must be one of the PANTHEIOS_SEV_* enumerators, otherwise, 0 will be returned. |
|
|
|
| pantheios Library documentation © Matthew Wilson & Synesis Software, 2006-2011 |


##Put a calender here
Connect to faculties
Access study resources seamlessly
Broadcast News
Check out cool new project in the development
Ideas in the improvisation
Join as writer or reader. It's your wish!


public class TracksAPI
extends SpotifyEndpoint
Endpoints for retrieving information about one or more tracks from the Spotify catalog.
| Constructor and Description |
|---|
TracksAPI(SpotifyAPI api)
Endpoints for retrieving information about one or more tracks from the Spotify catalog.
|
| Modifier and Type | Method and Description |
|---|---|
SpotifyRestAction<com.adamratzman.spotify.models.AudioAnalysis> |
getAudioAnalysis(java.lang.String track)
Get a detailed audio analysis for a single track identified by its unique Spotify ID.
|
SpotifyRestAction<com.adamratzman.spotify.models.AudioFeatures> |
getAudioFeatures(java.lang.String track)
Get audio feature information for a single track identified by its unique Spotify ID.
|
SpotifyRestAction<java.util.List> |
getAudioFeatures(java.lang.String tracks)
Get audio features for multiple tracks based on their Spotify IDs.
|
SpotifyRestAction<com.adamratzman.spotify.models.Track> |
getTrack(java.lang.String track,
com.neovisionaries.i18n.CountryCode market)
Get Spotify catalog information for a single track identified by its unique Spotify ID.
|
SpotifyRestAction<java.util.List> |
getTracks(java.lang.String[] tracks,
com.neovisionaries.i18n.CountryCode market)
Get Spotify catalog information for multiple tracks based on their Spotify IDs.
|
getApi, getCache
public TracksAPI(SpotifyAPI api)
Endpoints for retrieving information about one or more tracks from the Spotify catalog.
public SpotifyRestAction<com.adamratzman.spotify.models.Track> getTrack(java.lang.String track, com.neovisionaries.i18n.CountryCode market)
Get Spotify catalog information for a single track identified by its unique Spotify ID.
track
- The spotify id or uri for the track.market
- Provide this parameter if you want to apply Track RelinkingTracksAPI.getTracks
public SpotifyRestAction<java.util.List> getTracks(java.lang.String[] tracks, com.neovisionaries.i18n.CountryCode market)
Get Spotify catalog information for multiple tracks based on their Spotify IDs.
tracks
- The spotify id or uri for the tracks.market
- Provide this parameter if you want to apply Track Relinkingclass Track
objects.public SpotifyRestAction<com.adamratzman.spotify.models.AudioAnalysis> getAudioAnalysis(java.lang.String track)
Get a detailed audio analysis for a single track identified by its unique Spotify ID.
The Audio Analysis endpoint provides low-level audio analysis for all of the tracks in the Spotify catalog. The Audio Analysis describes the track’s structure and musical content, including rhythm, pitch, and timbre. All information is precise to the audio sample.
Many elements of analysis include confidence values, a floating-point number ranging from 0.0 to 1.0. Confidence indicates the reliability of its corresponding attribute. Elements carrying a small confidence value should be considered speculative. There may not be sufficient data in the audio to compute the attribute with high certainty.
track
- The spotify id or uri for the track.public SpotifyRestAction<com.adamratzman.spotify.models.AudioFeatures> getAudioFeatures(java.lang.String track)
Get audio feature information for a single track identified by its unique Spotify ID.
track
- The spotify id or uri for the track.public SpotifyRestAction<java.util.List> getAudioFeatures(java.lang.String tracks)
Get audio features for multiple tracks based on their Spotify IDs.
tracks
- vararg of spotify track ids or uris.class AudioFeatures
objects.


A depiction of Secchi disk depths for lakes in the Pike Chain of Lakes near Iron River, WI.
Pike Chain
Limnology
Vis
Author
Derek H. Ogle
Published
Feb 5, 2023
Modified
Feb 6, 2023
Introduction
The Pike Chain of Lakes near Iron River, WI is a set of nine connected lakes (Figure 1). The Pike Chain is highly developed, has several public access locations, and is popular among anglers, boaters, snowmobilers, etc. year-round. Over the years, especially recently since Eurasian watermilfoil was introduced, volunteers have recorded various water quality parameters for the Pike Chain of lakes. Below I show the record of Secchi depth recordings that are publicly available through the Wisconsin DNR Citizen Lake Monitoring Network.
A Secchi disk is an 8-inch disk painted in quadrants with black and white that is lowered into a lake to assess water clarity. The depth at which the disk is no longer visible is called the Secchi depth and is a measure of water transparency; the deeper the depth the more transparent the water. Water transparency can be a surrogate for water quality (more transparent generally means higher water quality) and can be an indicator of human activity on and around the lake. See this and this for quick introductions to Secchi disks.
Summary
Data was inconsistently recorded across lakes.
Muskellunge Lake had the shallowest Secchi depth, whereas Lake Millicent and Hart Lake had the deepest (see Figure 2).
Average Secchi depth varied annually within each lake, with no clear trend of increasing or decreasing in most lakes (see Figure 3),
Lake Comparisons
Only the seven lakes listed in @tab-lakedata had reliable Secchi depth data.
Lake
Size (acres)
Max. Depth (ft)
Mean Depth (ft)
Buskey Bay
88
51
15
Lake Millicent
183
53
26
Hart Lake
257
54
25
Twin Bear Lake
157
59
23
Muskellunge Lake
43
35
12
Eagle Lake
163
52
14
Flynn Lake
30
9
5
Table 1: Characteristics of the seven lakes in the Pike Chain of Lakes with consistent water quality data.


CREATE MATERIALIZED VIEW table_name [ (column_name [, ...] ) ] [ WITH ( storage_parameter [= value] [, ... ] ) ] [ TABLESPACE tablespace_name ] AS query [ WITH [ NO ] DATA ]
CREATE MATERIALIZED VIEW defines a materialized view of a query. The query is executed and used to populate the view at the time the command is issued (unless WITH NO DATA is used) and may be refreshed later using REFRESH MATERIALIZED VIEW.
CREATE MATERIALIZED VIEW is similar to CREATE TABLE AS, except that it also remembers the query used to initialize the view, so that it can be refreshed later upon demand. A materialized view has many of the same properties as a table, but there is no support for temporary materialized views or automatic generation of OIDs.
The name (optionally schema-qualified) of the materialized view to be created.
The name of a column in the new materialized view. If column names are not provided, they are taken from the output column names of the query.
This clause specifies optional storage parameters for the new materialized view; see Storage Parameters for more information. All parameters supported for CREATE TABLE are also supported for CREATE MATERIALIZED VIEW with the exception of OIDS. See CREATE TABLE for more information.
The tablespace_name is the name of the tablespace in which the new materialized view is to be created. If not specified, default_tablespace is consulted.
A SELECT, TABLE, or VALUES command. This query will run within a security-restricted operation; in particular, calls to functions that themselves create temporary tables will fail.
This clause specifies whether or not the materialized view should be populated at creation time. If not, the materialized view will be flagged as unscannable and cannot be queried until REFRESH MATERIALIZED VIEW is used.


OSM tiles are calculated for a given map extend with map-the-tiles and GeoJSON is rendered as SVG using geojson2svg. Map navigation (pan, pinch and rotation) achived with Hammer.js & emptymap.js.
ViewUse shift key to emulate touch for desktop. For firefox emulator doesn't work properly.


Thank you for purchasing MAT admin theme. If you have any questions about the template, please feel free to contact me via email<EMAIL_ADDRESS>Thanks very much!
MAT has a clean and minimalistic design which helps you create an awesome and powerful project. It is perfectly designed and precisely prepared. Template was built based on the latest standards and recommendations. MAT theme is powered by Twitter Bootstrap v4 and React Material Design. Please note that this documentation is dedicated to the main element of the template. With each version, I will try to develop it. But if you have any questions going beyond what is described here don't hesitate to write to me<EMAIL_ADDRESS>You’ll need to have Node >= 6 on your machine. You can use nvm (macOS/Linux) or nvm-windows to easily switch Node versions between different projects.
Project has the following folder structure at the root level
├── admin-sampleThere are three react projects ( admin-sample, mat-seed-react, and mat-seed-react-bootstrap). These projects are independent from each other. You need to run the following command for each project.
npm install
The above command will install all the required dependencies in the node_modules folder. To run the application run the following command.
npm start
With the above command it will open http://localhost:3000 in the browser.
This tool doesn’t assume a Node backend. The Node installation is only required for Create React App itself.
You don’t need to install or configure tools like Webpack or Babel.
The following scripts are available for all three react projects. You have to run these commands within each folder.
npm start
Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.
The page will automatically reload if you make changes to the code. You will see the build errors and lint warnings in the console.
npm test
Launches the test runner in the interactive watch mode. See the section about create-react-app documentation running tests for more information.
npm run build
Builds the app for production to the build
folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes. Your app is ready to be deployed!
See the section about deployment for more information.
 The Dark and Light themes are
the default themes available with React Material Design. The additional custom theme is available at
src/themes/MaterialDesignCustomTheme.js.
You can switch them from the top light bulb icon.
The state of the theme is persisted to the local storage.
Dashboard is powered by Victory charing library. Victory is a pure charting library.
https://github.com/FormidableLabs/victory-chartI have created a custom theme for the victory charts. This can be located at src/pages/Dashboardv1/MatTheme.js. This custom theme is used by the dashboard charts. You can tweak the colors to achieve what you need in your dashboard charts.
The map component in the dashboard is powered by react-simple-maps. This library is a pure react library.
https://github.com/zcreativelabs/react-simple-mapsThe forms in Mat theme is powered by the React Material Design Form components. The samples in the template proved with a start point to design forms for your use cases.
Client side validation example is developed in the Login page. There is no library use to do the validation. It’s simply using state variables and setState.
The sample app is built with authentication flow login page authenticated routes etc. All secure routes are wrapped in a higher order react component.
Mat contains two seed projects to get you started
This seed project importing only React Material Design and other related components. This one has the minimum set of imports to get you started on a new project.
With this seed project you can use both React Material Design components and Bootstrap react components shipped with react-strap.
Contact me:chanaka3d@gmail.com


A general introduction to the physical nature and structure of the solid Earth, including, briefly, its physical geography and a more detailed look at its geology. The environmental implications of these subjects are detailed. Three lectures and one laboratory period of three hours per week plus one overnight field trip and one or two shorter trips. These pages represent supplemental lecture notes for the slides and textbook material used in the course.
in-context


{% load i18n static %} {% trans "404 Not Found - Vote" as title %}
{{ title }}
Anon Vote
{% trans "404 Not Found" %}


This is the Hello World content.
It's from the static file plugins/001_helloWorld/functions/hello-world.html.
plugins/001_helloWorld/functions/hello-world.html


WHO I AM ?
PORTFOLIO
SERVICES
CONTACT
ILLUSTRATION
SEE MORE
WEB DESIGN
SEE MORE
PHOTOGRAPHY
SEE MORE
BANDING
SEE MORE


Documentary series about the online hunt for Luka Magnotta coming to Netflix in December
A three-part documentary series about the online sleuths who helped track down the infamous killer Luka Magnotta is coming to Netflix.
The streaming service says the series will follow the story of internet users across the world who jumped into action after a video of an unknown man killing two kittens was posted online.
The online manhunt intensified as more disturbing videos were posted, including the infamous clip showing the dismemberment of 33-year-old university student Jun Lin.
The now 37-year-old Magnotta was convicted in December 2014 of first-degree murder in the slaying of Lin, as well as several other counts, and is currently serving a life sentence.

Netflix says the series, titled Don’t F**k With Cats: Hunting an Internet Killer, launches Dec. 18.
Our Morning Update and Evening Update newsletters are written by Globe editors, giving you a concise summary of the day’s most important headlines. Sign up today .


This tool lets you define, monitor, and manage jobs for the load generator service. It stores definitions into App Services, then lets you control those jobs from this UI.
You are logged in as: {{securityContext.user.username}} Sign out


Tests whether MathML equation rendering is supported.
If the preceding equations are not presented as linear text (e.g., x=-b±b2-4ac2a), the test passes.
Tests whether basic MathML styling is supported.
The test passes if the equation "2x+y+z" has a yellow background, a dashed border with padding, the first occurrence of + is enlarged to 150% font size, the identifiers (x, y, z) are colored white on green background.
Tests whether basic CSS styling of MathML is supported on the math
element.
The test passes if the equation "2x+y+z" has a yellow background, a dashed border with padding, the first occurrence of + is enlarged to 150% font size, the identifiers (x, y, z) are colored white on green background.
If the reading system does not have a viewport, or does not support CSS styles, this test should be marked Not Supported
.
Tests basic layout of surds.
The test passes if the seven iterated surds (the root signs) extend over the respective subexpressions and remain distinguishable.
Tests basic vertical stretch of parentheses.
The test passes if the parantheses stretch vertically both outside and in the subexpressions.
mover
, munder
, and mspace
elementsTests whether horizontal stretch, mover
, munder
, mspace
elements are supported.
The test passes if the overbrace stretches to the width of the right hand side of the equation and the undebraces stretches to the width of the (padded) identifiers (a and b).
mtable
with alignments and stylingTests whether mtable
with borders and basic alignments attributes are supported.
The test passes if the table has a solid frame and dotted row and column borders and the equations are aligned according to the first column entry.
mtable
with alignments and stylingTests whether mtable
with borders and basic alignments attributes are supported.
The test passes if the table has a solid line between rows 1 and 2 and columns 1 and 2 and the equations are aligned according to the first row entry.
Tests basic support for bi-directional layout and Arabic alphabets.
The test passes if entries in the third column look like the "mirror image" of the second column (except for the characters themselves).
Tests whether mlongdiv
elements are supported.
The test passes if rendering looks like the long division of 1306 divided by 3 in US-style notation.
Tests whether mstack
and mscarries
elements are supported.
The test passes if the rendering looks like written substraction of 2327-1156, with carries in north position and strike-outs in vertical position.
Tests whether mmultiscript
and munderover
elements as well as Greek and Gothic alphabets are supported.
The test passes if the central Pi is surrounded by under-, over-, and multiscripts (i.e., sub-, sup-, pre-sub, and pre-sup scripts); the multiscript entries have central Gothic letters surrounded by Greek multiscripts.
Licensed under cc by-sa 3.0. Original source: meta.math.stackexchange (cc by-sa 3.0), with attribution required.


Calculates maximum likelihood estimate, exact and asymptotic confidence intervals, and exact and asymptotic goodness of fit p-values for concentration of infectious units from serial limiting dilution assays. This package uses the likelihood equation, exact goodness of fit p-values, and exact confidence intervals described in Meyers et al. (1994) <http://jcm.asm.org/content/32/3/732.full.pdf>. This software is also implemented as a web application through the Shiny R package <https://iupm.shinyapps.io/sldassay/>.
| Version: | 1.8 |
| Depends: | R (≥ 3.2.1) |
| Imports: | compiler |
| Published: | 2017-11-02 |
| Author: | Michael Hudgens, Ilana Trumble, Andrew Allmon |
| Maintainer: | Ilana Trumble <itrumble at unc.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | SLDAssay results |
| Reference manual: | SLDAssay.pdf |
| Package source: | SLDAssay_1.8.tar.gz |
| Windows binaries: | r-devel: SLDAssay_1.8.zip, r-release: SLDAssay_1.8.zip, r-oldrel: SLDAssay_1.8.zip |
| OS X binaries: | r-release: SLDAssay_1.8.tgz, r-oldrel: SLDAssay_1.8.tgz |
| Old sources: | SLDAssay archive |
Please use the canonical form https://CRAN.R-project.org/package=SLDAssay to link to this page.


Class: Rumale::ModelSelection::StratifiedShuffleSplit
- Inherits:
-
Object
- Object
- Rumale::ModelSelection::StratifiedShuffleSplit
- Includes:
- Base::Splitter
- Defined in:
- rumale-model_selection/lib/rumale/model_selection/stratified_shuffle_split.rb
Overview
StratifiedShuffleSplit is a class that generates the set of data indices for random permutation cross-validation. The proportion of the number of samples in each class will be almost equal for each fold.
Instance Attribute Summary collapse
-
#n_splits ⇒ Integer
readonly
Return the number of folds.
-
#rng ⇒ Random
readonly
Return the random generator for shuffling the dataset.
Instance Method Summary collapse
-
#initialize(n_splits: 3, test_size: 0.1, train_size: nil, random_seed: nil) ⇒ StratifiedShuffleSplit
constructor
Create a new data splitter for random permutation cross validation.
-
#split(x, y) ⇒ Array
Generate data indices for stratified random permutation cross validation.
Constructor Details
#initialize(n_splits: 3, test_size: 0.1, train_size: nil, random_seed: nil) ⇒ StratifiedShuffleSplit
Create a new data splitter for random permutation cross validation.
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# File 'rumale-model_selection/lib/rumale/model_selection/stratified_shuffle_split.rb', line 37 def initialize(n_splits: 3, test_size: 0.1, train_size: nil, random_seed: nil) @n_splits = n_splits @test_size = test_size @train_size = train_size @random_seed = random_seed @random_seed ||= srand @rng = Random.new(@random_seed) end |
Instance Attribute Details
#n_splits ⇒ Integer (readonly)
Return the number of folds.
25 26 27 |
# File 'rumale-model_selection/lib/rumale/model_selection/stratified_shuffle_split.rb', line 25 def n_splits @n_splits end |
#rng ⇒ Random (readonly)
Return the random generator for shuffling the dataset.
29 30 31 |
# File 'rumale-model_selection/lib/rumale/model_selection/stratified_shuffle_split.rb', line 29 def rng @rng end |
Instance Method Details
#split(x, y) ⇒ Array
Generate data indices for stratified random permutation cross validation.
55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 |
# File 'rumale-model_selection/lib/rumale/model_selection/stratified_shuffle_split.rb', line 55 def split(_x, y) # Initialize and check some variables. train_sz = @train_size.nil? ? 1.0 - @test_size : @train_size sub_rng = @rng.dup # Check the number of samples in each class. unless valid_n_splits?(y) raise ArgumentError, 'The value of n_splits must be not less than 1 and not more than the number of samples in each class.' end # rubocop:disable Layout/LineLength unless enough_data_size_each_class?(y, @test_size, 'test') raise RangeError, 'The number of samples in test split must be not less than 1 and not more than the number of samples in each class.' end unless enough_data_size_each_class?(y, train_sz, 'train') raise RangeError, 'The number of samples in train split must be not less than 1 and not more than the number of samples in each class.' end unless enough_data_size_each_class?(y, train_sz + @test_size, 'train') raise RangeError, 'The total number of samples in test split and train split must be not more than the number of samples in each class.' end # rubocop:enable Layout/LineLength # Returns array consisting of the training and testing ids for each fold. sample_ids_each_class = y.to_a.uniq.map { |label| y.eq(label).where.to_a } Array.new(@n_splits) do train_ids = [] test_ids = [] sample_ids_each_class.each do |sample_ids| n_samples = sample_ids.size n_test_samples = (@test_size * n_samples).ceil.to_i test_ids += sample_ids.sample(n_test_samples, random: sub_rng) train_ids += if @train_size.nil? sample_ids - test_ids else n_train_samples = (train_sz * n_samples).floor.to_i (sample_ids - test_ids).sample(n_train_samples, random: sub_rng) end end [train_ids, test_ids] end end |


Real Time voting app for creating custom polls with live results.
NodeJs based loopback server used for implementation.
Implemented using the Google-prefered high-performance Angular web framework
Experience your results with updated charts and Databases. Used ChartJs & PostgresSQL
oAuth support using PassportJs
Views created with responsive html5 & Bootstrap
Styling done bootswatch slate theme.
Entire project is openSource on GitHub
Live demo deployment on AWS


To start, install the CLI from npm.
npm install workbox-cli --global
You should be able to run the command `workbox --help` after it's installed.
workbox --help workbox-cli is the command line interface for Workbox. Usage: $ workbox [options] ...


|
My Project
|
Public Member Functions | |
| Payment () | |
| Default constructor function. More... | |
| ~Payment () | |
| Default deconstructor function. More... | |
| double | getAmount () const |
| Return amount. More... | |
| void | setAmount (double amount) |
| Set amount. More... | |
| virtual void | performPayment ()=0 |
| Virtual function for inhert classes. | |
| Payment::Payment | ( | ) |
Default constructor function.
Payment constructor.
| Payment::~Payment | ( | ) |
Default deconstructor function.
Payment destructor.
| double Payment::getAmount | ( | ) | const |
Return amount.
| void Payment::setAmount | ( | double | amount | ) |
Set amount.
| amount | Amount to pay will be set to this |


The Doobie Brothers announced 50th Anniversary Tour: Here is when they come to Phoenix
by Josh FrigerioPHOENIX — The Doobie Brothers announced their 50th Anniversary Tour on Tuesday -- and, yes, there is a scheduled stop in Phoenix.
The tour, which will feature Tom Johnston, Michael McDonald, Pat Simmons, and John McFee together for the first time in nearly 25 years, is scheduled to stop at Phoenix's Ak-Chin Pavilion on Saturday, Oct. 3, 2020, part of its 30-city tour.
Tickets are set to go on sale on Friday, Dec. 6 at 10 a.m. via LiveNation.com.
“We're truly excited about our 50th Anniversary Tour, as it's a celebration of the band’s entire history. We'll be performing songs from our full catalog, as well as new music,” Johnston said in a statement.
Fans should expect to hear several of the band's hits, including "Listen to the Music," "Takin' It To The Streets," and "Long Train Running."
The band is also nominated for induction into the Rock and Roll Hall of Fame's 2020 class. Other nominees include Pat Benatar, Dave Matthews Band, Depeche Mode, Whitney Houston, Judas Priest, Kraftwerk, MC5, Motörhead, Nine Inch Nails, Rufus featuring Chaka Khan, Todd Rundgren, Soundgarden, T. Rex, and Thin Lizzy.


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React Class Components Learning Objectives
As you’ve learned the fundamentals of React, you’ve seen how to use functions to create components. You can also create components using ES2015 classes. After reading and practicing, you should be able to:
- Create a simple React application by removing items and content from a project generated by the Create React App default template
- Create a simple React application using a custom Create React App template
- Create a React component using ES2015 class syntax
- Describe when it’s appropriate to use a class component
- Initialize and update state within a class component
- Provide default values for a class component’s props
- Add event listeners to elements
- Prevent event default behavior
- Safely use the
this
keyword within event handlers
- Describe what the React
SyntheticEvent
object is and the role it plays in handling events
- Create a React class component containing a simple form
- Define a single event handler method to handle
onChange
events for multiple <input>
elements
- Add a
<textarea>
element to a form
- Add a
<select>
element to a form
- Implement form validations
- Describe the lifecycle of a React component
- Recall that the commonly used component lifecycle methods include
componentDidMount
, componentDidUpdate
, and componentWillUnmount
- Use the
componentDidMount
component lifecycle method to fetch data from an API
- Utilize official documentation to gain an understanding of how new technology works


{% extends "base_bg.html" %} {% load static %} {% block content %} {% if form.errors %}
Your username and password didn't match. Please try again.
Your account doesn't have access to this page. To proceed, please login with an account that has access.
{% else %}Please login to see this page.
{% endif %} {% endif %}


The syllabus is the official outline for your course. As an instructor, if you or your department has prepared an online syllabus already, you can direct the Syllabus tool to link to it. Otherwise, you can enter material to post directly to your syllabus. You can make your syllabus visible to the general public or just to members of your course.
Some features of a traditional syllabus are divided between the Syllabus and Schedule tools. Some instructors use the Syllabus tool to display the department's official online syllabus, and use the Schedule as a detailed resource for students.
Content format: You can use the buttons at the top of the editing window to format your content. The buttons supply any needed HTML tags. You can toggle between viewing these HTML tags in your content or not, and you may enter your own HTML tags instead of relying on the buttons.
Attachments: You can attach files from your Resources folders. For more information, see Creating/adding, editing, or deleting a Syllabus item.
Display to non-members (publicly viewable)
in that
file's properties. For more information, see Making your Resources items publicly accessible.


This town needs no introduction. It lies approximately 30nm SW of Cannes and is one of the most well known tourist resorts on the French Riviera.
Position 43° 16'30"N, 06° 37'53"E. (Harbour entrance)
Call the Harbourmaster on arrival on VHF channel 09 for instructions on berthing.
It is advised to avoid arriving between 11am and 12:30 and 17:30 to 18:30 as the harbour is particularly busy then.
The arrivals/visitors' berths at Port de St.Tropez are on the inside of the northern breakwater, and opposite, on the quay in front of the capitainerie.
During the summer, do not be surprised if no place is available in the old port if your yacht is less than 22m. Advance booking is essential.
There are several alternatives to the marina at St Tropez itself, especially if any repairs or nautical hardware are required. Cogolin and Port Grimaud are both close by.
There is a good, quiet anchorage in Bay de Canebiers. Anchor west of rocks "La Croisette". There is a pleasent sandy beach and good walks in the nature researve here.
Last updated March 2015.


Oil slips on jitters over US-China trade talks progress
Oil prices fell on Monday on renewed caution over the prospects of a trade deal between the United States and China, with investors shrugging off comments over the weekend by U.S. President Donald Trump that talks were going well.
TOKYO: Oil prices fell on Monday on renewed caution over the prospects of a trade deal between the United States and China, with investors shrugging off comments over the weekend by U.S. President Donald Trump that talks were going well.
Brent crude was down 39 cents, or 0.6per cent, at US$62.12 by 0117 GMT. The contract rose 1.3per cent last week.
U.S. crude was 35 cents, or 0.6per cent, lower at US$56.89 a barrel, having risen 1.9per cent last week.
Trump said on Saturday that trade talks with China were moving along "very nicely," but the United States would only make a deal with Beijing if it was the right one for America.
The 16-month trade war between the world's two biggest economies has slowed economic growth around the world and prompted analysts to lower forecasts for oil demand, raising concerns that a supply glut could develop in 2020.
Trump also said there had been incorrect reporting about U.S. willingness to lift tariffs as part of a "phase one" agreement, news of which had boosted markets.
Any agreement on rolling back tariffs "would boost risk sentiment but not necessarily provide (an) immediate economic fillip," said Stephen Innes chief Asia market strategist at AxiTrader.
Underlining the impact of the trade war, data over the weekend showed that China's producer prices fell the most in more than three years in October, as the manufacturing sector weakened, hit by the dispute and declining demand.
In the United States, energy companies last week reduced the number of oil rigs operating for a third week in a row. Drillers cut seven rigs in the week to Nov. 8, bringing the total count down to 684, the lowest since April 2017, Baker Hughes said.
Money managers boosted their net long U.S. crude futures and options positions in the week to Nov. 5 by 22,512 contracts to 138,389, the U.S. Commodity Futures Trading Commission (CFTC) said.
(Reporting by Aaron Sheldrick; Editing by Jacqueline Wong)


Setting Up a New Machine
With the announcement of the new MacBook Airs at the WWDC (2013) with 12 hour batter life (13” model), I was ready for an upgrade. My old, beloved laptop was a 2009 MacBook Air. It’s a great system but with 2 GB memory and 128GB storage, it was always near full and swapping memory.
With the new laptop, I went with Migration Assistant to move the old system over. I’ve never used it before so I was curious to see how it worked. When it started, it said it would take ~6 hours to finish, so I left it overnight. When I checked it in the morning, it said it still has 2 hours 56 minutes left. After a while, the time didn’t move. So after stopping it and reinstalling OS 10.8, I went with installing from scratch. That looked ok and App store installs went well. Then the software that wasn’t from the App Store went a little slower. I had to find all the links to the software, especially ones purchased from bundled which had specific download links. Thanks to 1Password, I was able to get everything (I think) registered.
Then came the Ruby’s. It’s been a number of years since I installed and upgraded Ruby. Since then, I’ve done things that required installing different gems (e.g. Octopress, Jekyll, and Rails). Octopress was relatively easy to get set up since it had a Gemfile and required a bundle install
. I was able to deploy the blog. Then I went to a Jekyll directory (the FAQs mentioned previously). The gems installed ok. Then I went back to the Octopress blog and it failed to deploy. Hmmm.
After hours of troubleshooting, I don’t know if I fixed the problem. I’m hoping to use rvm
in the hopes of fixing the problem, although I’m not sure what the problem really was. If this post gets loaded, it means I can currently deploy. If this is the most recent post, it means I’ve messed something up.
It’s a little frustrating that gems don’t appear to be backwards compatible. Upgrading a gem seems to mess things up. The second frustration comes from the fact that much of Ruby/rvm appears to be tcsh-unfriendly. Since the software I use for work is based on Fortran cose and programmers from the 70’s, it is largely tcsh-based. As such, I usually switch to tcsh on my machines. With more use of Ruby and rvm, I’m taking the plunge and moving to bash. It may take a bit getting used to but it’s probably good to join the 21st century.


About Me
I’m a full-stack web developer living in Washington DC. In my free time, I teach beginner friendly Python classes through Hear Me Code. I am actively seeking a full-time permanent position as a web developer. I'm also available for hire for short term projects.
I am passionate about making the world a happier and more productive place through web development and software innovation. Specifically, I want to harness the power of the internet to help vulnerable populations access resources. I think the internet is the ideal tool for sharing ideas and experiences, and lifting each other up.
As someone who is the happiest when teaching and learning, I like to be part of communities that value continuous development and improvement. In the next year, I want to create an iOS app, learn more about web security and hacking, and finish another maker project.


This was my first time working with another person's code. While I didn't write it myself, this was a good learning experience to understand someone else's work and their styling practices.
I practiced a little bit of external CSS with the blue background colors.
I learned how to use class names and ids to identify HTML elements and group related ones.
CSS prioritizes ids over classes and classes over tags. I also played around with many different CSS properties.
I built upon my friend's code and experimented a lot with different CSS properties
I tried learning the different position properties of CSS. I experimented with absolute positioning and things got cluttered really quick.
When I wanted to make a slight change with the whole body of the HTML, it became very difficult. I'm sure when I become more comfortable with the different positionings, I'll get better.
Learn the different positions and how to use them.
IDs should be unique


'Secret double life' of man 'who suffocated ex and dumped her body in the desert'
John Matthew Chapman from Pennsylvania, who allegedly confessed to kidnapping Jaime Feden and leaving her to die, was reportedly leading a secret life away from his wife
by Milo Boyd, https://www.mirror.co.uk/authors/milo-boyd/A man who kidnapped his girlfriend led a double-life in which he posed as the victim online and had a wife, it has been claimed.
John Matthew Chapman has been in custody after he allegedly kidnapped his former girlfriend Jaime Rae Feden, 33, in the US.
The Pennsylvania man is accused of bounding and suffocating her then dumping her body in the Nevada desert.
Feden, who was just over 4-ft tall, had been missing two months before a woman's remains were found in the desert.
It is alleged that on Friday he admitted to officers at Bethel Park Police Department that he killed Feden in Las Vegas by suffocating her.
Chapman is believed to have also confessed of his crime to Maureen Chapman - a woman he has been married to for just over a year.
Maureen had no idea that her husband had another partner or that he killed her, until Chapman phoned from the police department at around 6am, it is claimed.
 I was in disbelief."
The apparent confession has left Maureen questioning her relationship with the 39-year-old, who she now believes was leading a double life.

Chapman allegedly told his wife that he had to travel in Feden's truck for work after a trip to see his aunt and uncle.
"Oh, my God, it's sick. It's really sick," Maureen said.
"I just want the truth as to what happened. I feel I'm owed that."
The suspect's family told Channel 11 that he met Feden at a school for students with special needs in around 2009.
Police said Chapman would often stay at Feden's Bethel Park home.
The situation is confused by Chapman's Facebook page which lists him as a single man from Pennslyvania.
His relationship with Maureen is obscured by the fact she is listed as her sister on the website.
Beneath one photo he commented: "Lookin good sis."
According to police documents Chapman convinced Feden to drive into the desert for a photo shoot.
He allegedly bound her feet and hands with zip ties before tying her to a lamppost.

After the death he used feden's phone to send messages to her family while pretending to be her, it has been claimed.
Nikki Lawrence, a close friend of Feden's, said the 33-year-old probably had no idea that Chapman was married.
She claimed Chapman mistreated her friend, used her for money and once arrived at a bar with her sporting two black eyes.
"The owner of the bar chased him down the street. After that he didn’t really come around any of her friends and family," she told Buzzfeed News.
"It makes me physically sick," Lawrence said, adding that she believes Chapman was posting photos and check-ins to Feden's Facebook account weeks after she was last seen by family and friends.
Feden's family, who had not seen her since September 15, reported her missing on Thursday.
During a welfare check of Feden's home that day, crime scene investigators recovered her phone and a backpack with plastic zip ties and duct tape inside, according to CBS 2.
Nevada officials are now working to identify a body they found on Oct. 5 that matches Feden's description.
She was born with a syndrome a series of birth defects that affect several parts of the body and caused her short height.
According to an anonymous listing on the National Missing and Unidentified Persons System a body found on October 5 matched Feden's description and bore two tattoos - one read "Keith, Robin, Jason" and the other was a four-leaf clover on the right lower leg.
Lawrence told BuzzFeed News that Feden had the same tattoo in honour of her uncle, brother and mother, who died when she was young.
Chapman has been charged with kidnapping, obstructing administration of law, and criminal use of a communication facility.


- ... sml.x86-linux.1
- The operating-system dependent
portion of the name of a heap image is more discriminating than the
operating-system dependent portion of boot- or binfile directories.


| Package | com.developmentarc.core.controllers.interfaces |
| Interface | public interface ITask extends flash.events.IEventDispatcher |
| Subinterfaces | ITaskGroup |
| Implementors | AbstractTask, TaskGroup |
| Property | Defined by | ||
|---|---|---|---|
| isBlocker : Boolean [read-only]
Defines if the Task is a blocking task.
| ITask | ||
| phase : String [read-only]
Returns the current phase of of the Task.
| ITask | ||
| priority : uint [read-only]
Returns the priority value of the Task.
| ITask | ||
| ready : Boolean [read-only]
Used to define the ready state of the Task.
| ITask | ||
| selfOverride : Boolean
Defines of if the Task overrides the same type of task that already have
been added to a queue.
| ITask | ||
| taskOverrides : Array [read-only]
Returns an array of Task types that this task will override when added
to the TaskController or a TaskGroup.
| ITask | ||
| type : String [read-only]
Returns the type value of the Task.
| ITask | ||
| uid : Object [read-only]
A unique identification value assigned to the task.
| ITask |
| Method | Defined by | ||
|---|---|---|---|
|
cancel():void
Used to cancel a task.
| ITask | ||
|
ignore():void
Used to put the task in ignore mode.
| ITask | ||
|
inQueue():void
Used to set the task state to queued.
| ITask | ||
|
inWaitingForReady():void
Used to put the Task in waiting for ready mode.
| ITask | ||
|
pause():void
Used to pause a started task.
| ITask | ||
|
start():void
Used to start the task when it becomes active.
| ITask |
| isBlocker | property |
isBlocker:Boolean
[read-only]Defines if the Task is a blocking task. A Blocking task prevents any other tasks in the queue from executing until this task is completed.
Implementation public function get isBlocker():Boolean
| phase | property |
phase:String
[read-only]Returns the current phase of of the Task.
Implementation public function get phase():String
| priority | property |
priority:uint
[read-only]Returns the priority value of the Task. Zero being the highest priority and uint.MAX_VALUE being the lowest.
Implementation public function get priority():uint
| ready | property |
ready:Boolean
[read-only]Used to define the ready state of the Task. If true the task is ready to be started, if false the task is not ready to be started.
Implementation public function get ready():Boolean
| selfOverride | property |
selfOverride:Boolean
[read-write]Defines of if the Task overrides the same type of task that already have been added to a queue. When a task is self-overriding and is added to the Task Controller or Task Group, the controller/group reviews the existing task queue and then removes any exisiting task that have the same type and uid as the new task that is being added.
Implementation public function get selfOverride():Boolean
public function set selfOverride(value:Boolean):void
| taskOverrides | property |
taskOverrides:Array
[read-only]Returns an array of Task types that this task will override when added to the TaskController or a TaskGroup.
Implementation public function get taskOverrides():Array
| type | property |
type:String
[read-only]Returns the type value of the Task. This defines what type of task the object represents. This is similar to the Event.type property.
Implementation public function get type():String
| uid | property |
uid:Object
[read-only]A unique identification value assigned to the task. This value allows for self overriding task to know if they are both the same type and identification.
Implementation public function get uid():Object
| cancel | () | method |
public function cancel():void
Used to cancel a task.
| ignore | () | method |
public function ignore():void
Used to put the task in ignore mode.
| inQueue | () | method |
public function inQueue():void
Used to set the task state to queued.
| inWaitingForReady | () | method |
public function inWaitingForReady():void
Used to put the Task in waiting for ready mode.
| pause | () | method |
public function pause():void
Used to pause a started task.
| start | () | method |
public function start():void
Used to start the task when it becomes active.


| | |
- builtins.object
-
- Row
-
- CashierRow
- DiscountRow
- ItemRow
-
- StockerRow
- ItemSoldRow
- ProductsRow
- ReportRow
- SupplierRow
- TransactionRow
- UserRow
- Table
-
- CashierTable
- ReportTable
- StockerTable
class CashierRow(Row) |
| |
Parent class for specialized rows. |
| |
- Method resolution order:
- CashierRow
- Row
- builtins.object
Methods defined here:
- __init__(self, item_id, product_name, price)
- Holds data for the display of an item in a customer's cart currently checking out.
:param item_id: int
:param product_name: str
:param price: float
:return: None
Data descriptors inherited from Row:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class CashierTable(Table) |
| |
Purpose: to hold a variety of table information beyond the rows themselves (e.g. table rows, potential profit from
all items currently in the table, etc.) |
| |
- Method resolution order:
- CashierTable
- Table
- builtins.object
Methods defined here:
- add_row(self, item_id, product_name, price)
- Adds a cashier row to the cashier table.
:param item_id: int
:param product_name: str
:param price: float
:return: None
- edit_row(self, row_number, item_id, price)
- Changes a current row at index row_number-1 to the parameters specified.
If any row parameter is the empty string, it will default to its current setting.
:param row_number: int
:param item_id: int
:param price: float
:return:
Methods inherited from Table:
- __init__(self)
- Initialize self. See help(type(self)) for accurate signature.
- clear_table(self)
- Clear all contents of a display table. Intended for use after a batch of data is committed to the database.
:return: None
- delete_row(self, row_number)
- Deletes the row at index row_number-1
:param row_number: int
:return: None
- get_row_count(self)
- Gets the number of rows in the table
:return: self.rowCount
- isEmpty(self)
- tells the caller if the table is empty or not
:return: boolean
Data descriptors inherited from Table:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class DiscountRow(Row) |
| |
Parent class for specialized rows. |
| |
- Method resolution order:
- DiscountRow
- Row
- builtins.object
Methods defined here:
- __init__(self, discount_id, product_id, start_date, end_date, discount)
- Holds data for the display of an entry from the discounts database table.
:param discount_id: int
:param product_id: int
:param start_date: datetime.date
:param end_date: datetime.date
:param discount: float (percentage off)
:return: None
Data descriptors inherited from Row:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class ItemRow(Row) |
| |
Parent class for specialized rows. |
| |
- Method resolution order:
- ItemRow
- Row
- builtins.object
Methods defined here:
- __init__(self, item_id, product_id, inventory_cost, expiration_date)
- Holds data for the display of an entry from the items database table.
:param item_id: int
:param product_id: int
:param inventory_cost: float
:param expiration_date: datetime.date
:return: None
Data descriptors inherited from Row:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class ItemSoldRow(Row) |
| |
Parent class for specialized rows. |
| |
- Method resolution order:
- ItemSoldRow
- Row
- builtins.object
Methods defined here:
- __init__(self, item_sold_id, item_id, product_id, price_sold, inventory_cost, transaction_id)
- Holds data for the display of an entry from the items_sold database table.
:param item_sold_id: int
:param item_id: int
:param product_id: int
:param price_sold: float
:param inventory_cost: float
:param transaction_id: int
:return: None
Data descriptors inherited from Row:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class ProductsRow(Row) |
| |
Parent class for specialized rows. |
| |
- Method resolution order:
- ProductsRow
- Row
- builtins.object
Methods defined here:
- __init__(self, product_id, name, supplier_id, inventory_count, min_inventory, shelf_life, standard_price)
- Holds data for the display of an entry from the products database table.
:param product_id: int
:param name: str
:param supplier_id: int
:param inventory_count: int
:param min_inventory: int
:param shelf_life: int
:param standard_price: float
:return: None
Data descriptors inherited from Row:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class ReportRow(Row) |
| |
Parent class for specialized rows. |
| |
- Method resolution order:
- ReportRow
- Row
- builtins.object
Methods defined here:
- __init__(self, name, daily, weekly, monthly, custom=0)
- Holds data for the display of accounting information.
:param name: string; Title of row
:param daily: float; Value of this row for the past day
:param weekly: float; Value of this row for the past week
:param custom: float; Value of this row for a user defined date range
:return: None
Data descriptors inherited from Row:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class ReportTable(Table) |
| |
Purpose: to hold a variety of table information beyond the rows themselves (e.g. table rows, potential profit from
all items currently in the table, etc.) |
| |
- Method resolution order:
- ReportTable
- Table
- builtins.object
Methods defined here:
- add_row(self, name, daily, weekly, monthly)
- Adds a new row to the table.
:param name: Accounting line title {Revenue, Cost of Sale, Profit}
:param daily: float value for today
:param weekly: float value for this week
:param monthly: float value for this month
:return: None
- make_table(self, revenue_list, cost_list, profit_list)
- Holds data for the dashboard table in the reports window.
Takes as input three lists, one for each accounting line,
in the form: [daily, weekly, monthly]
:param revenue_list:
:param cost_list:
:param profit_list:
:return: None
- update_custom_column(self, new_revenue, new_cost, new_profit)
- Updates all rows in the table with appropriate values for a new custom date range.
:param new_revenue: float
:param new_cost: float
:param new_profit: float
:return: None
Methods inherited from Table:
- __init__(self)
- Initialize self. See help(type(self)) for accurate signature.
- clear_table(self)
- Clear all contents of a display table. Intended for use after a batch of data is committed to the database.
:return: None
- delete_row(self, row_number)
- Deletes the row at index row_number-1
:param row_number: int
:return: None
- get_row_count(self)
- Gets the number of rows in the table
:return: self.rowCount
- isEmpty(self)
- tells the caller if the table is empty or not
:return: boolean
Data descriptors inherited from Table:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class Row(builtins.object) |
| |
Parent class for specialized rows. |
| |
Methods defined here:
- __init__(self)
- Initialize self. See help(type(self)) for accurate signature.
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class StockerRow(ItemRow) |
| |
Parent class for specialized rows. |
| |
- Method resolution order:
- StockerRow
- ItemRow
- Row
- builtins.object
Methods defined here:
- __init__(self, product_id, name, inventory_cost, quantity=1)
- Holds data for the display of an item currently being added to inventory.
:param product_id: int
:param name: string
:param quantity: int
:param inventory_cost: float
:return: None
Data descriptors inherited from Row:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class StockerTable(Table) |
| |
Purpose: to hold a variety of table information beyond the rows themselves (e.g. table rows, potential profit from
all items currently in the table, etc.) |
| |
- Method resolution order:
- StockerTable
- Table
- builtins.object
Methods defined here:
- add_row(self, product_id, name, quantity, inventory_cost)
- Adds a stocker row to the stocker table.
:param product_id: int
:param name: string
:param quantity: int
:param inventory_cost: float
:return: None
- edit_row(self, row_number, product_id, name, quantity, inventory_cost)
- Changes a current row at index row_number-1 to the parameters specified.
If any row parameter is the empty string, it will default to its current setting.
:param row_number: int
:param product_id: int
:param name: string
:param quantity: int
:param inventory_cost: float
:return: None
Methods inherited from Table:
- __init__(self)
- Initialize self. See help(type(self)) for accurate signature.
- clear_table(self)
- Clear all contents of a display table. Intended for use after a batch of data is committed to the database.
:return: None
- delete_row(self, row_number)
- Deletes the row at index row_number-1
:param row_number: int
:return: None
- get_row_count(self)
- Gets the number of rows in the table
:return: self.rowCount
- isEmpty(self)
- tells the caller if the table is empty or not
:return: boolean
Data descriptors inherited from Table:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class SupplierRow(Row) |
| |
Parent class for specialized rows. |
| |
- Method resolution order:
- SupplierRow
- Row
- builtins.object
Methods defined here:
- __init__(self, supplier_id, name, email)
- Holds data for the display of an entry from the suppliers database table.
:param supplier_id: int
:param name: str
:param email: str
:return:
Data descriptors inherited from Row:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class Table(builtins.object) |
| |
Purpose: to hold a variety of table information beyond the rows themselves (e.g. table rows, potential profit from
all items currently in the table, etc.) |
| |
Methods defined here:
- __init__(self)
- Initialize self. See help(type(self)) for accurate signature.
- clear_table(self)
- Clear all contents of a display table. Intended for use after a batch of data is committed to the database.
:return: None
- delete_row(self, row_number)
- Deletes the row at index row_number-1
:param row_number: int
:return: None
- get_row_count(self)
- Gets the number of rows in the table
:return: self.rowCount
- isEmpty(self)
- tells the caller if the table is empty or not
:return: boolean
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class TransactionRow(Row) |
| |
Parent class for specialized rows. |
| |
- Method resolution order:
- TransactionRow
- Row
- builtins.object
Methods defined here:
- __init__(self, trans_id, cust_name, cust_contact, payment_type, date)
- Holds data for the display of an entry from the transactions database table.
:param trans_id: int
:param cust_name: str
:param cust_contact: str
:param payment_type: int
:param date: datetime.date
:return: None
Data descriptors inherited from Row:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class UserRow(Row) |
| |
Parent class for specialized rows. |
| |
- Method resolution order:
- UserRow
- Row
- builtins.object
Methods defined here:
- __init__(self, user_id, username, password, permissions)
- Holds data for the display of an entry from the users database table.
:param user_id: int
:param username: str
:param password: str
:param permissions: int
:return: None
Data descriptors inherited from Row:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
| |


A PERFECT MURDER A film review by David N. Butterworth Copyright 1998 David N. Butterworth
*** (out of ****)
Perhaps I should preface this review by stating, for the record, that I happen to love Michael Douglas.
Well, I'm not *in* love with him. Gwyneth Paltrow is in love with him. Well, not Gwyneth Paltrow exactly, but the character she plays in her latest film, one Emily Bradford. Well, she *was* in love with him, presumably at some point (not Michael Douglas per se, but the character he plays, Emily's husband Steven Taylor). But now Emily, as the movie opens, is in love with Viggo Mortensen. Well, the character *he* plays that is, emerging--and chronically handsome--artist David Shaw.
So here we have a problem. Emily's married to Steven but she's in love with David. Steven, who knows it, is set to inherit a tidy sum if his wife, er, expires. Hmm... How are we going to rectify this situation? Well how about a juicy little murder for starters?
Yes. That would certainly resolve a thing or two. And it's certainly the least we can expect from a movie called "A Perfect Murder," loosely based on Alfred Hitchcock's "Dial M for Murder."
In Hitch's 1953 film, Ray Milland schemes to knock off his lovely wife (played by the even lovelier Grace Kelly) in order to bolster his flagging bank balance. His cause is also "justified" by the fact that his wife is guilty of cheating on him.
In this '90's update, Michael Douglas has similar designs on Gwyneth Paltrow's cashflow, even though he's filthy rich himself (Douglas plays yet another one of his classic "greed is good" banker-broker-commodities-trader-dealer-investor types. It's a role Douglas could play in his sleep ... and probably does! Emily's passionate trysts with the afore-mentioned David provide Steven with similar "justification" for orchestrating her timely demise.
The twist? Steven entertains his wife's lover and makes him an offer he can't refuse: $500,000 tax free. "For just walking away from her?" asks the painter with, it turns out, a scurrilous past (handy for blackmailing purposes). "I said tax free, I didn't say free. You get $100,000 now and $400,000 later." "For what?" "Killing my wife." Well, we've all seen the previews...
OK, so it's not the most pleasant proposition on the planet but the way Douglas says "my wife" is totally delicious.  "My wife." It's got that mean, menacing, rasping quality that gives you the shivers. Damn, that Michael Douglas is good!
"A Perfect Murder" is a slick, smart, sexy, and satisfying thriller from director Andrew Davis ("The Fugitive"). The film is well cast--everyone and everything is gorgeous looking--and it doesn't insult the intelligence like some other hack psychodramas. There are the requisite twists and turns and the murder weapon--a pair of scissors in the original--is tastefully inspired, if a little too telegraphed, this time out (causing this reviewer to mutter under his breath "he's done!").
Davis' film is less than perfect--the ending briefly descends into slasher flick-dom for one thing--but it's a murderously fun way to spend a couple of hours in a darkened movie theater with or, preferably, without "my wife."
-- David N. Butterworth<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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