Network Pharmacology and In Silico Elucidation of Phytochemicals Extracted from Ajwa Dates (Phoenix dactylifera L.) to Inhibit Akt and PI3K Causing Triple Negative Breast Cancer (TNBC).

Background: About 10-15% of all breast cancers comprise triple-negative breast cancer (TNBC), defined as cancer cells that lack receptors for the ER, PR, and HER2 protein receptors. Due to the absence of these receptors, treating TNBC using conventional chemotherapy is challenging and, therefore, requires the discovery of novel chemotherapeutic agents derived from natural sources.

Objective: The current work was intended to study the potential phytochemicals of Ajwa dates (Phoenix dactylifera L.

Pre-gating and contextual attention gate - A new fusion method for multi-modal data tasks.

Multi-modal representation learning has received significant attention across diverse research domains due to its ability to model a scenario comprehensively. Learning the cross-modal interactions is essential to combining multi-modal data into a joint representation. However, conventional cross-attention mechanisms can produce noisy and non-meaningful values in the absence of useful cross-modal interactions among input features, thereby introducing uncertainty into the feature representation.

Hydrothermal synthesis of cobalt substitute zinc-ferrite (CoZnFeO) nanodot, functionalised by polyaniline with enhanced photocatalytic activity under visible light irradiation.

Fabrication and development of effective visible-light-responsive photocatalysts are required to tackle critical environmental issues. The aim of this study was to develop a nanocomposite material with improved photocatalytic activity for the degradation of industrial dyes such as Reactive Orange-16 (RO-16), Reactive Blue (RB-222), Reactive Yellow-145 (RY-145), and Disperse Red-1 (DR-1) without the need for a post-separation process after use. Here we report the hydrothermal synthesis of nanodots of CoZnFeO (x = 0.

Chitosan-based nano-sorbents: synthesis, surface modification, characterisation and application in Cd (II), Co (II), Cu (II) and Pb (II) ions removal from wastewater.

In contemplation of treating hazardous industrial wastewater, sodium tripolyphosphate (TPP) and vanillin (V)-modified chitosan-based magnetic nano-sorbents (TPP-CMN and V-CMN) were prepared, and the physical and surface properties of both nano-sorbents were characterised. The results of FE-SEM and XRD showed an average size of between 6.50 and 17.

Deep learning based topic and sentiment analysis: COVID19 information seeking on social media.

Social media platforms have become a common place for information exchange among their users. People leave traces of their emotions via text expressions. A systematic collection, analysis, and interpretation of social media data across time and space can give insights into local outbreaks, mental health, and social issues.

Assessing the exploitation status of main catfish based on length based stock assessment models in the Kaptai Lake from Bangladesh.

The current study focuses on the detailed data on stock assessments including population structure, growth parameters, mortality, recruitment pattern, exploitation rate (, maximum sustainable yield (MSY) and relative yield per-recruit of (Hamilton, 1822) based on 2512 specimens through regular monthly sampling using gill net, cast net, and square lift net in the Kaptai Lake, located in the hilly region of Bangladesh during January to December 2017. Total length (TL) and body weight (BW) were measured using digital slide calipers and electronic balance with 0.01 cm and 0.

Progressive domain adaptation for detecting hate speech on social media with small training set and its application to COVID-19 concerned posts.

In this world of information and experience era, microblogging sites have been commonly used to express people feelings including fear, panic, hate and abuse. Monitoring and control of abuse on social media, especially during pandemics such as COVID-19, can help in keeping the public sentiment and morale positive. Developing the fear and hate detection methods based on machine learning requires labelled data.

Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization.

Unlabelled: Social media platforms like Twitter have become an easy portal for billions of people to connect and exchange their thoughts. Unfortunately, people commonly use these platforms to share misinformation which can influence other people adversely. The spread of misinformation is unavoidable in an extraordinary situation like Covid-19, and the consequences can be dreadful.

Molecular characterization of duck plague virus from selected Haor areas of Bangladesh.

Background: Duck viral enteritis, commonly known as duck plague (DP), is an acute and contagious fatal disease in ducks, geese, and swans caused by the DP virus (DPV). It poses a serious threat to the growth of duck farming in the Haor (wetland) areas of Bangladesh.

Aim: This study aimed to detect the circulating DPV by molecular characterization, followed by phylogenetic analysis, targeting the gene in infected ducks from five Haor districts in Bangladesh and to observe the variation in the genome sequence between the field virus and vaccine strain of DPV.

Management of cardiorespiratory function of rabbits by a customized chest drain: An experimental study.

Objective: This study aimed to salvage the study population from the fatality that occurs due to iatrogenic injury to the thoracic cavity's pleural membrane.

Materials And Methods: An experimental study of temporomandibular joint arthroplasty with costochondral graft was carried out on 72 healthy '' species of male rabbits. The rabbits were distributed into two age groups: growing (3-4 months) and adult (12-18 months).