Pan-cancer analysis of CDC7 in human tumors: Integrative multi-omics insights and discovery of novel marine-based inhibitors through machine learning and computational approaches.

Cancer remains a significant global health challenge, with the Cell Division Cycle 7 (CDC7) protein emerging as a potential therapeutic target due to its critical role in tumor proliferation, survival, and resistance. However, a comprehensive analysis of CDC7 across multiple cancers is lacking, and existing therapeutic options have come with limited clinical success. The aim of this is to integrate a comprehensive pan-cancer analysis of CDC7 with the identification of novel marine-derived inhibitors, bridging the understanding of CDC7's role as a prognostic biomarker and therapeutic target across diverse cancer types.

ChatgaiyyaAlap: A dataset for conversion from Chittagonian dialect to standard Bangla.

Bangla is one of the most used languages around the world with 240 million speakers. The standard Bangla language is the official language of people from Bangladesh and a few other parts outside Bangladesh, like West Bengal and Tripura. Although, people from different areas of Bangladesh do not use standard Bangla on a day-to-day basis.

Solid Lipid Nanoparticles for the Management of Hypertension: Advancements and Challenges.

Cardiovascular diseases (CVDs) remain a global health challenge, with hypertension emerging as a leading risk factor. Hypertension, characterized by elevated arterial blood pressure (BP), significantly increases the risk of stroke and other CVDs. Despite advancements in antihypertensive medication, the effectiveness of hypertension treatment is often hindered by poor bioavailability and limited drug efficacy.

Emerging concerns associated with E-waste exposure in Bangladesh.

Rapid urbanization and industrialization have led to the increased generation of electronic waste (E-waste) throughout the world, and the proper management of this hazardous E-waste is of utmost challenge nowadays. Bangladesh, like any other developing country, needs to develop an appropriate E-waste management strategy and increase public awareness of handling E-waste. This research aims to provide a detailed overview of Bangladesh's current E-waste generation scenario and its impact on human health and the environment.

Ensemble-based multiclass lung cancer classification using hybrid CNN-SVD feature extraction and selection method.

Lung cancer (LC) is a leading cause of cancer-related fatalities worldwide, underscoring the urgency of early detection for improved patient outcomes. The main objective of this research is to harness the noble strategies of artificial intelligence for identifying and classifying lung cancers more precisely from CT scan images at the early stage. This study introduces a novel lung cancer detection method, which was mainly focused on Convolutional Neural Networks (CNN) and was later customized for binary and multiclass classification utilizing a publicly available dataset of chest CT scan images of lung cancer.

TFP-BD: An image dataset for Traffic Flow and Pedestrian movement analysis on Bangladeshi urban roads.

In Bangladesh, people sadly are not very much concerned about traffic rules. This study focuses on traffic flow patterns at four locations in Dhaka: Shapla Chattar, Arambag, Bashabo and Abul Hotel. Foot over bridges were used to collect video data, which captured single-lane and double-lane traffic conditions involving different types of vehicles and irregular pedestrian movement.

Adsorption kinetics and mechanisms of nano chitosan coated cotton fiber for the removal of heavy metals from industrial effluents.

The present study successfully removed heavy metals from industrial effluent using nanochitosan-coated cotton fiber (NCCF) crosslinked with citric acid, demonstrating the potential of advanced technologies in removing heavy metals from large amounts of wastewater caused by the world's unchecked population growth and widespread industrialization that has caused pollution. Structural, morphological, and thermal properties of NCCF were determined. Results revealed that the nanochitosan component improves the adsorption capacity of cotton fiber (CF) through the increased surface area and porosity of NCCF.

High-throughput screening of natural antiviral drug candidates against white spot syndrome virus targeting VP28 in Penaeus monodon: Computational drug design approaches.

The white spot syndrome virus (WSSV), considered the deadliest pathogen impacting Penaeid shrimp (Penaeus monodon), remains worrisome for the global shrimp industry due to its extreme virulence and mortality rate of up to 100%. To date, there has been no breakthrough in effective antivirals or vaccines that can mitigate the financial damage caused by the pathogen. The distinctive structure of VP28 facilitates its role as a trimer, serving as the primary envelope protein of WSSV.

Characterization of heatwave pattern and its long-run predictions using CMIP6 model in western and north-western climatic zones of Bangladesh.

Heatwaves, characterized by prolonged high temperatures, have become a recurrent and severe phenomenon in Bangladesh, posing significant risks to public health, agriculture, and socioeconomic stability. This study analyzed the characterization and long-term projections of heatwave patterns in Bangladesh's western and northwestern climatic zones, addressing a critical gap in understanding regional vulnerabilities to extreme temperature events. Heatwave thresholds were defined using the Bangladesh Meteorological Department Criterion, a percentile-based criterion, and the Indian Meteorological Department Criterion, providing a comprehensive framework for assessing heatwave intensity and frequency.

Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review.

Severe collisions can result from aggressive driving and poor road conditions, emphasizing the need for effective monitoring to ensure safety. Smartphones, with their array of built-in sensors, offer a practical and affordable solution for road-sensing. However, the lack of reliable, standardized datasets has hindered progress in assessing road conditions and driving patterns.

Assessing the reliability of open-source data used for spatial characterisation of urban sanitation infrastructure-a field study in Rajshahi, Bangladesh.

Urban sanitation in rapidly growing secondary cities remains a critical challenge, particularly in unsewered areas. This study evaluates the effectiveness of open-source data for modelling the sources and movement of faecal matter in such contexts, with a specific focus on Rajshahi, an unsewered secondary city in Bangladesh. By triangulating data from direct observations, key informant interviews (KIIs), and focus group discussions (FGDs), we assess the reliability of using open-source data to map faecal matter flow.

Designing Chip-Feed High-Gain Millimeter-Wave Resonant Cavity Antenna (RCA) Array and Optimization of Beam Steering Metasurface.

In this article, a chip-fed millimeter-wave high-gain antenna system with in-antenna power combining capability is presented. A low-profile resonant cavity antenna (RCA) array is fed by multiple spherical dielectric resonators (DRs), demonstrating its multi-feed capabilities. Each of the DRs is fed by two microstrip resonators on a planar circuit board.

Beyond Antibiotics: Exploring the Potential of Bacteriophages and Phage Therapy.

The escalating global threat of antibiotic resistance has prompted a critical need for innovative approaches to bacterial infection treatment. In terms of management, bacterial-associated disorders have reached a critical point in the world due to the advent of drug-resistant types of bacteria. Nonetheless, continued bacteriophage research presents a promising frontier in the battle against bacterial infections.

Synthesis and characterization of spin coated ZnTe thin films for improving the efficiency of ZnTe/ZnS solar cell using SCAPS-1D.

Cadmium telluride (CdTe) absorber layer in solar cells (SCs) is environmentally dangerous for the toxic behavior of cadmium (Cd). Alternatively, zinc telluride (ZnTe) is deliberated as a promising PV material for its adoptable absorption coefficient, better conversion efficiency and low production cost of materials requirements. The main objective of this study is to synthesis and characterization analysis of ZnTe thin films to enhance the performance of ZnS/ZnTe solar cell.

Crystal stability and the origin of transport properties of new MAX phases YAN (A = , ): A theoretical background for experimental study.

Crystal structure prediction has garnered considerable attention in recent years, and this study presents the density functional theory (DFT)-based first-principles prediction of the crystal stability and transport properties of YAN (A = , ) MAX phase compounds for the first time. The calculated structural properties are consistent with other yttrium-containing MAX phases. Most importantly, the formation enthalpy, cohesive energy, and predicted melting temperatures, combined with the total density of states (TDOS) analysis, indicate that YAN (A = , ) phases are thermodynamically stable and exhibit good structural stability.

Effect of sodium alginate edible coating on drying behavior and quality characteristics of ripe pineapple slices.

The increasing global demand for tropical fresh cut products is driven by their convenience, quality, and health benefits, highlighting the need for effective preservation methods. Pineapple slices were treated with antioxidant solution, osmodehydrated (OD) and edible sodium alginate coating was applied in different methods to investigate the effect of edible coating on osmotic dehydration, convection drying phenomena, and quality parameters of dried pineapple slices. The findings showed that edible coatings influenced drying kinetics and physicochemical properties of pineapple slices.

Genome-wide identification and characterization of FORMIN gene family in cotton (Gossypium hirsutum L.) and their expression profiles in response to multiple abiotic stress treatments.

FORMIN proteins distinguished by FH2 domain, are conserved throughout evolution and widely distributed in eukaryotic organisms. These proteins interact with various signaling molecules and cytoskeletal proteins, playing crucial roles in both biotic and abiotic stress responses. However, the functions of FORMINs in cotton (Gossypium hirsutum L.

Highly sensitive SPR sensor employing zinc selenide, silver nanocomposite, and lead titanate for the detection of cancer cells.

This paper presents the design and evaluation of an optimized prism-based surface plasmon resonance (SPR) biosensor for the early detection of various cancer types. The Kretschmann configuration-based SPR sensor integrates multiple novel layers, including silver (Ag), zinc selenide (ZnSe), lead telluride (PbTiO ), and silver nanocomposite layers. The SPR sensor is analyzed with angular interrogation analysis, which utilizes the attenuated total reflection (ATR) approach for investigating the refractive index component and detecting different forms of cancer cells.

Screening of common genomic biomarkers to explore common drugs for the treatment of pancreatic and kidney cancers with type-2 diabetes through bioinformatics analysis.

Type 2 diabetes (T2D) is a crucial risk factor for both pancreatic cancer (PC) and kidney cancer (KC). However, effective common drugs for treating PC and/or KC patients who are also suffering from T2D are currently lacking, despite the probability of their co-occurrence. Taking disease-specific multiple drugs during the co-existence of multiple diseases may lead to adverse side effects or toxicity to the patients due to drug-drug interactions.

Identification of potential biomarkers for lung cancer using integrated bioinformatics and machine learning approaches.

Lung cancer is one of the most common cancer and the leading cause of cancer-related death worldwide. Early detection of lung cancer can help reduce the death rate; therefore, the identification of potential biomarkers is crucial. Thus, this study aimed to identify potential biomarkers for lung cancer by integrating bioinformatics analysis and machine learning (ML)-based approaches.

Highly sensitive refractive index sensing with a perfect MIM absorber in visible to near-infrared range.

An innovative metasurface refractive index sensor that operates in the visible to near-infrared (NIR) range is introduced in this work. The sensor has a unique half-ring, half-square split design which allows it to reach dual absorption peaks, resulting in near-perfect absorption values of 99.97% in the visible range and 99.

evaluation of missense SNPs in cancer-associated Cystatin A protein and their potential to disrupt Cathepsin B interaction.

Cystatin A (CSTA) functions as a cysteine protease inhibitor by forming tight complexes with the cathepsins. Pathogenic mutations in the CSTA gene can disrupt this interaction, potentially leading to physiological ailments. In this study, eight bioinformatics tools (SIFT, PolyPhen-2, PROVEAN, P-Mut, MutPred2, SNAP2, SNPs & GO, and PHD-SNP) were implemented to analyze non-synonymous SNPs from the dbSNP database.

Microbiome diversity in soils of the agro-ecological zones of Bangladesh.

Diversity and composition of soil bacteriome across various agro-ecological zones (AEZs) in Bangladesh were unveiled using 16S rRNA gene sequencing. The mapping of bacterial communities in each AEZ has laid a foundation for detailed mapping and engineering of soil microbiome in deltaic Bangladesh soils for mitigating impact of climate change and promoting sustainable agriculture.

Exhaust gas after treatment using air preheating and selective catalytic reduction by urea to reduce NO in diesel engine.

The oxides of nitrogen (NO) emitted from diesel engines are perilous pollutants, contributing to environmental and health hazards. Selective Catalytic Reduction (SCR) using urea is a proven technology for reducing NO emissions, while air preheating has been utilized to enhance NO reduction efficiency. From the studies, a sole focus on urea-SCR with air preheating remains noticeably unexplored.