Sales Management Portal

In the organizations managing the sales and client’s information plays a key role so for managing that information we are going to develop a Sales Management Portal. Sales Management portal is used to manage all the products and the services sales details and customer details in the organization. By using this portal, the sales information in the organization can be managed easily and in a secured way. This web portal is very scalable which can be used for the small and also for the large organizations. With this portal manager can see the employee’s progress and can also share the important messages with the employees by using announcements. This portal is also used by the employees to save and manage all the clients and prospects details. Employees can also manage the client’s general information, contact, opportunities, proposals and projects details. Modules: When coming to the modules of this portal, it contains 3 main modules like Administrator, Manager and Employee. Administrator: In this module the administrator can add and authorize the manager for accessing the appropriate operations and he can also view the current projects, proposals, prospects and clients details. Administrator can also post any important information like the meeting timings. Manager: In this module the manager can add and authorize the employees for doing necessary actions to store the clients and prospects general information, opportunities, proposals and projects details. By using this module, the manager can also track the employee’s progress and can also send the messages to the employees. In this module the manager can also view and update prospects, opportunities and proposals details and the manager can also manage the project details. Employee: In this module the employees can add and save the new clients and prospects details with their general information, contact information and their proposals, opportunities and projects information. The sales management employees can also update the clients and prospects information and they can also search the client or a prospect through their names or by using the client or prospect filters to search the appropriate details

On the Relevance of Cross-project Learning with Nearest Neighbours for Commit Message Generation

Commit messages play an important role in software maintenance and evolution. Nonetheless, developers often do not produce high-quality messages. A number of commit message generation methods have been proposed in recent years to address this problem. Some of these methods are based on neural machine translation (NMT) techniques. Studies show that the nearest neighbor algorithm (NNGen) outperforms existing NMT-based methods, although NNGen is simpler and faster than NMT. In this paper, we show that NNGen does not take advantage of cross-project learning in the majority of the cases. We also show that there is an even simpler and faster variation of the existing NNGen method which outperforms it in terms of the BLEU_4 score without using cross-project learning

New synthetic derivatives of triterpenoids in the treatment of cancer

Methyl 2-cyano-3,11-dioxo-18β-olean-1,12-dien-30-oate (β-CDODA-Me) and methyl 2-cyano-3,11-dioxo-18α-olean-1,12-dien-30-oate (α-CDODA-Me ) isomers are synthetic analogs of the naturally occurring triterpenoid glycyrrhetinic acid. The activity of these compounds as selective peroxisome proliferator-activated receptor γ (PPARγ) agonists and as cytotoxic anticancer agents has been investigated in colon, prostate and pancreatic cancer cells. In colon cancer cells β-CDODA-Me arrested the growth at G2/M and this was accompanied by decreased expression of Sp1, Sp3 and Sp4 protein and mRNA and several Sp-dependent genes including survivin, vascular endothelial growth factor (VEGF), and VEGF receptor 1 (VEGFR1 or Flt-1). β-CDODA-Me also inhibited tumor growth in athymic nude mice bearing RKO cells as xenografts. β- CDODA-Me decreased expression of microRNA-27a (miR-27a), and this was accompanied by increased expression of two miR-27a-regulated mRNAs, namely ZBTB10 (an Sp repressor) and Myt-1 which catalyzes phosphorylation of cdc2 to inhibit progression of cells through G2/M. In LNCaP prostate cancer cells induction of two proapoptotic proteins namely nonsteroidal anti-inflammatory drug- activated gene-1 (NAG-1) and activating transcription factor-3 (ATF-3) was PPARγ independent and required activation of kinases. β-CDODA-Me also decreased the levels of androgen receptor (AR) and prostate-specific antigen (PSA) mRNA and protein levels. Thus the cytotoxicity of β- CDODA-Me involved multiple pathways that selectively activate growth inhibitory and proapoptotic responses. Betulinic acid (BA), an inhibitor of melanoma is a pentacyclic triterpenoid natural product that induces apoptosis and antiangiogenic responses in tumors derived from multiple tissues. However, the underlying mechanism of action of BA is unknown. In LNCaP prostate cancer cells, BA acts as a novel anticancer agent by inducing proteasome-dependent repression of Sp proteins and Sp- dependent genes. The anticancer activity of the 2-cyano substituted analogs of BA, CN-BA and its methyl ester, CN-BA-Me was also investigated in colon and pancreatic cancer cells. Both CNBA and CN-BA-Me were highly cytotoxic and activated PPARγ and induced several receptor-mediated responses. The results clearly demonstrated that both the PPARγ agonist activities of CN-BA and CN-BA-Me were structure-, response-/gene- and cell context-dependent suggesting that these compounds are a novel class of selective PPARγ modulators with potential for clinical treatment of prostate, colon and pancreatic cancer

Language independent evaluation of translation style and consistency:comparing human and machine translations of Camus’ novel “The Stranger”

We present quantitative and qualitative results of automatic and manual comparisons of translations of the originally French novel “The Stranger” (French: L’Étranger). We provide a novel approach to evaluating translation performance across languages without the need for reference translations or comparable corpora. Our approach examines the consistency of the translation of various document levels including chapters, parts and sentences. In our experiments we analyse four expert translations of the French novel. We also used Google’s machine translation output as baselines. We analyse the translations by using readability metrics, rank correlation comparisons and Word Error Rate (WER)

TRUNCATE-TB: an innovative trial design for drug-sensitive tuberculosis

Background: The number of potential regimens of drug treatment for TB is vast, meaning that evaluating each new treatment against a control in separate two-arm trials requires a huge amount of resources. There is, therefore, a need for innovative trial designs that can evaluate drug regimens simultaneously

Unraveling the Contribution of Image Captioning and Neural Machine Translation for Multimodal Machine Translation

Recent work on multimodal machine translation has attempted to address the problem of producing target language image descriptions based on both the source language description and the corresponding image. However, existing work has not been conclusive on the contribution of visual information. This paper presents an in-depth study of the problem by examining the differences and complementarities of two related but distinct approaches to this task: textonly neural machine translation and image captioning. We analyse the scope for improvement and the effect of different data and settings to build models for these tasks. We also propose ways of combining these two approaches for improved translation quality