An empirical study of exploring the predictors of university teachers' job satisfaction in Bangladesh: A structural equation modeling approach.

This study aims to investigate the factors influencing job satisfaction among university teachers, considering various complex constructs such as salary and financial benefits, career growth and opportunities, relationships with colleagues, recognition, working environment, and leadership. Utilizing a quantitative cross-sectional research design, the present study was conducted in Bangladesh between August and December 2022. Encompassing 7 public universities and 12 private universities, the research purposively sampled 95 participants, adhering to a systematic and comprehensive approach to data collection.

TimeMachine: A Time Series is Worth 4 Mambas for Long-Term Forecasting.

Long-term time-series forecasting remains challenging due to the difficulty in capturing long-term dependencies, achieving linear scalability, and maintaining computational efficiency. We introduce TimeMachine, an innovative model that leverages Mamba, a state-space model, to capture long-term dependencies in multivariate time series data while maintaining linear scalability and small memory footprints. TimeMachine exploits the unique properties of time series data to produce salient contextual cues at multi-scales and leverage an innovative integrated quadruple-Mamba architecture to unify the handling of channel-mixing and channel-independence situations, thus enabling effective selection of contents for prediction against global and local contexts at different scales.

MambaTab: A Plug-and-Play Model for Learning Tabular Data.

Despite the prevalence of images and texts in machine learning, tabular data remains widely used across various domains. Existing deep learning models, such as convolutional neural networks and transformers, perform well however demand extensive preprocessing and tuning limiting accessibility and scalability. This work introduces an innovative approach based on a structured state-space model (SSM), MambaTab, for tabular data.

A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images.

Brain tumors present a significant global health challenge, and their early detection and accurate classification are crucial for effective treatment strategies. This study presents a novel approach combining a lightweight parallel depthwise separable convolutional neural network (PDSCNN) and a hybrid ridge regression extreme learning machine (RRELM) for accurately classifying four types of brain tumors (glioma, meningioma, no tumor, and pituitary) based on MRI images. The proposed approach enhances the visibility and clarity of tumor features in MRI images by employing contrast-limited adaptive histogram equalization (CLAHE).

Next generation legged robot locomotion: A review on control techniques.

The next generation of autonomous-legged robots will herald a new era in the fields of manufacturing, healthcare, terrain exploration, and surveillance. We can expect significant progress in a number of industries, including inspection, search and rescue, elderly care, workplace safety, and nuclear decommissioning. Advanced legged robots are built with a state-of-the-art architecture that makes use of stereo vision and inertial measurement data to navigate unfamiliar and challenging terrains.

Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI.

GI abnormalities significantly increase mortality rates and impose considerable strain on healthcare systems, underscoring the essential requirement for rapid detection, precise diagnosis, and efficient strategic treatment. To develop a CAD system, this study aims to automatically classify GI disorders utilizing various deep learning methodologies. The proposed system features a three-stage lightweight architecture, consisting of a feature extractor using PSE-CNN, a feature selector employing PCA, and a classifier based on DELM.

Compact multiplex PCR device for HIV-1 and HIV-2 viral load determination from finger-prick whole blood in resource-limited settings.

The human immunodeficiency virus (HIV) remains a major global health concern for which accurate viral load monitoring is essential for the management of HIV infection. The advent of antiretroviral therapy (ART) has transformed once-fatal HIV disease into a manageable chronic condition that now makes the need for VL testing which aims to satisfy international suppression targets 95-95-95 al l the more essential. Therefore, considering the complexity and diversity of HIV infection, it is essential to develop rapid diagnostic technologies suitable for different clinical situations.

Development and validation of a portable device for lab-free versatile nucleic acid extraction.

Nucleic acid testing (NAT) has revolutionized diagnostics by providing precise, rapid, and scalable detection methods for diverse biological samples. These recent advancements satisfy the increasing demand for on-site diagnostics, yet sample preparation remains a significant bottleneck for achieving highly sensitive diagnostic assays. There is an unmet need for compatible, efficient, and lab-free sample preparation for point-of-care NAT.

Toxic Effects of Synthesized Bismuth Oxide/Reduced Graphene Oxide (BiO/RGO) Nanocomposites in Two Distinct Mammalian Cell Lines: Role Oxidative Stress and Apoptosis.

Background: Researchers have shown substantial interest in bismuth oxide/reduced graphene oxide (BiO/RGO) nanocomposites due to their superior features that are not achievable by each material alone. The growing applications and manufacturing of BiO/RGO nanocomposites have raised concerns regarding their potential human health risks. This work was designed to explore the possible toxicity mechanisms of BiO/RGO nanocomposites in two distinct mammalian cell lines, normal rat kidney cells (NRK52E) and human liver cancer cells (HepG2).

Circulation of the reassorted very virulent genotype of infectious bursal disease virus isolated from vaccinated broiler chickens in Bangladesh.

Objective: The methodology employed in this research was designed to identify and characterize the infectious bursal disease virus (IBDV) at the molecular level, originating from recent outbreaks in Bangladesh.

Materials And Methods: The IBDV outbreak farm was investigated, and bursa of fabricius (BF) specimens were acquired from infected chickens. Initially, viruses in the processed samples were detected in chicken embryo fibroblast (CEF) cells, and the RT-PCR method was used to confirm IBDV.

Chemical synthesis, characterization, and anticancer potential of CuO/ZrO/TiO/RGO nanocomposites against human breast (MCF-7) cancer cells.

Nanocomposites (NCs) have attractive potential applications in gas-sensing, energy, photocatalysis, and biomedicine. In the present work, the fabrication of CuO/ZrO/TiO/RGO nanocomposites (NCs) was done a simple chemical route. Our aim in this work was to synthesis and investigate the selective anticancer activity of TiO NPs by supporting CuO, ZrO, and RGO toward cancer and normal cells.

Next generation power inverter for grid resilience: Technology review.

Distributed generation (DG) systems are becoming more popular due to several benefits such as clean energy, decentralization, and cost effectiveness. Because the majority of renewable energy sources provide DC power, power electronic inverters are necessary for their conversion from DC to AC power. To fulfill this demand, the next generation power inverter employs innovative technologies while simultaneously assuring stability and resilience.

Hydrogel interfaced glass nanopore for high-resolution sizing of short DNA fragments.

Solid-state nanopores, known for their label-free detection and operational simplicity, face challenges in accurately sizing the short nucleic acids due to fast translocation and a lack of enzyme-based control mechanisms as compared to their biological counterparts with sizing resolutions still limited to ≥100 bp. Here, we present a facile polyethylene glycol-dimethacrylate (PEG-DMA) hydrogel interfaced glass nanopore (HIGN) system by inserting glass nanopore into the hydrogel to achieve sub-100 base pair (bp) resolution in short DNA sizing analysis. We systematically investigated the effects of hydrogel mesh size, spatial configurations of glass nanopores about the hydrogel, applied bias voltage, and analyte concentration on the transport dynamics of 200 bp double-stranded DNA (dsDNA).

Left hand abscess as a paradoxical reaction during treatment of disseminated tuberculosis in immunocompetent patient: case report and review of literature.

A paradoxical reaction (PR) during the treatment of tuberculosis was defined as the worsening of preexisting disease either clinically or radiologically or the appearance of a new tuberculous lesion. These reactions are frequently observed in patients coinfected with human immunodeficiency virus (HIV) upon the initiation of antiretroviral therapy (ART). Herein, we present a unique case of a paradoxical reaction in a previously healthy 19-year-old female who started anti-tuberculosis treatment for disseminated tuberculosis.

CRISPR-based strategies for sample-to-answer monkeypox detection: current status and emerging opportunities.

The global health threat posed by the Monkeypox virus (Mpox) requires swift, simple, and accurate detection methods for effective management, emphasizing the growing necessity for decentralized point-of-care (POC) diagnostic solutions. The clustered regularly interspaced short palindromic repeats (CRISPR), initially known for its effective nucleic acid detection abilities, presents itself as an attractive diagnostic strategy. CRISPR offers exceptional sensitivity, single-base specificity, and programmability.

Potential smart grid vulnerabilities to cyber attacks: Current threats and existing mitigation strategies.

A novel concept in the realm of conventional electricity grids, known as the "smart grid," has emerged to explore the most effective methods for integrating green and renewable energy sources. By leveraging existing technologies for its communication network, the Smart Grid also inherits their associated drawbacks. Exploiting these vulnerabilities can lead to severe consequences such as privacy breaches, cascading failures, or even system-wide blackouts.

Sulphonated-graphene oxide nanocomposite membranes with PVA-ZnO nanostructures and mechanized agitation-enhanced pt coating for soft robotics bending actuator.

Ionic Polymer-Metal Composite (IPMC) actuators have garnered significant scientific attention in robotics and artificial muscles for their ability to operate at low voltage, high strain capacity, and lightweight construction. The lack of uniform bending in IPMC actuators undermines their control precision and restricts their range of potential applications. This study utilized the unique properties of nanoscale materials and Polyvinyl alcohol (PVA) to develop a membrane for soft robotic bending actuation.

Assessing AI adoption in developing country academia: A trust and privacy-augmented UTAUT framework.

The rapid evolution of Artificial Intelligence (AI) and its widespread adoption have given rise to a critical need for understanding the underlying factors that shape users' behavioral intentions. Therefore, the main objective of this study is to explain user perceived behavioral intentions and use behavior of AI technologies for academic purposes in a developing country. This study has adopted the unified theory of acceptance and use of technology (UTAUT) model and extended it with two dimensions: trust and privacy.

Low-dose computed tomography perceptual image quality assessment.

In computed tomography (CT) imaging, optimizing the balance between radiation dose and image quality is crucial due to the potentially harmful effects of radiation on patients. Although subjective assessments by radiologists are considered the gold standard in medical imaging, these evaluations can be time-consuming and costly. Thus, objective methods, such as the peak signal-to-noise ratio and structural similarity index measure, are often employed as alternatives.

Treatment of persistent coronavirus disease 2019 (COVID-19) in a B cell acute lymphoblastic leukemia patient with using nirmatrelvir/ritonavir extended course: A case report.

Patients with hematological malignancies are at increased risk of persistent coronavirus disease 2019 (COVID-19) infection, a unique clinical condition, for which the optimal treatment is unknown. Here we report a case of persistent COVID-19 in acute lymphoblastic leukemia (ALL) patient who successfully responded to extended course nirmatrelvir/ritonavir.

Multiplex plasma protein assays as a diagnostic tool for lung cancer.

Lack of the established noninvasive diagnostic biomarkers causes delay in diagnosis of lung cancer (LC). The aim of this study was to explore the association between inflammatory and cancer-associated plasma proteins and LC and thereby discover potential biomarkers. Patients referred for suspected LC and later diagnosed with primary LC, other cancers, or no cancer (NC) were included in this study.

Design, Fabrication, and Dynamic Analysis of a MEMS Ring Resonator Supported by Twin Circular Curve Beams.

In this paper, we present a compressive study on the design and development of a MEMS ring resonator and its dynamic behavior under electrostatic force when supported by twin circular curve beams. Finite element analysis (FEA)-based modeling techniques are used to simulate and refine the resonator geometry and transduction. In proper FEA or analytical modeling, the explicit description and accurate values of the effective mass and stiffness of the resonator structure are needed.

Evaluation of and anticancer activities of potassium koetjapate: a solubility improved formulation of koetjapic acid against human colon cancer.

Background And Purpose: The previous work on koetjapic acid (KA) isolated from showed its efficacy towards colorectal cancer however KA has poor water solubility which poses the biggest hindrance to its efficacy. In the present paper, an attempt was made to study the anti-colon cancer efficacy of KA's potassium salt . potassium koetjapate (KKA) applying and methods.