Computational network analysis of two popular skin cancers provides insights into the molecular mechanisms and reveals common therapeutic targets.

Basal Cell Carcinoma (BCC) and Actinic Keratosis (AK) are prevalent skin conditions with significant health complications. The molecular mechanisms underlying these conditions and their potential shared pathways remain ambiguous despite their prevalence. Therefore, this study aims to elucidate the common molecular pathways and potential therapeutic targets for BCC and AK through comprehensive computational network analysis.

Comparing Antibody Responses to Homologous vs. Heterologous COVID-19 Vaccination: A Cross-Sectional Analysis in an Urban Bangladeshi Population.

Background: Vaccination has played a crucial role in mitigating the spread of COVID-19 and reducing its severe outcomes. While over 90% of Bangladesh's population has received at least one COVID-19 vaccine dose, the comparative effectiveness of homologous versus heterologous booster strategies, along with the complex interplay of factors within the population, remains understudied. This study aimed to compare antibody responses between these booster approaches.

Thematic analysis of perceptions from both patients and dental students on a digital clinical decision aid in prosthodontics: A qualitative study.

Objective: The present study aimed to investigate the impact of utilizing an innovative and comprehensive patient-centered digital clinical decision aid designed to facilitate shared decision-making in missing tooth replacement between dental students and their patients.

Methods: A qualitative study using interview approach was conducted in Hong Kong SAR and Malaysia. Thirty dental undergraduate students, each with one patient from the Faculty of Dentistry at The University of Hong Kong (n = 15) and Universiti Teknologi MARA (n = 15), were introduced to a digitally designed decision aid in missing tooth replacement prior to their treatment appointments.

Balance recovery and its link to vestibular agnosia in traumatic brain injury: a longitudinal behavioural and neuro-imaging study.

Background: Vestibular dysfunction causing imbalance affects c. 80% of acute hospitalized traumatic brain injury (TBI) cases. Poor balance recovery is linked to worse return-to-work rates and reduced longevity.

Anti-amyloid therapy and cerebral blood flow changes on Magnetic Resonance Imaging: a potential longitudinal biomarker of treatment response?

Amyloid-targeting therapy has recently become widely available in the U.S. for the treatment of patients with symptomatic mild Alzheimer's disease (AD).

The Olive Oil Monophenolic Secoiridoid Ligstroside Aglycone Suppresses Melanoma Progression by Targeting the BRAF Signaling Pathway.

Melanoma is among the most abundant malignancies in the US and worldwide. Ligstroside aglycone (LA) is a rare extra-virgin olive oil-derived monophenolic secoiridoid with diverse bioactivities. LA dose-response screening at the NCI 60 cancer cells panel identified the high sensitivity of the Malme-3M cell line, which harbors a mutation.

Evaluation of mechanical responses of asphalt mixtures incorporating plastic waste as additives by different compaction efforts and mixing temperatures for a sustainable mixture.

Sustainable pavement is essential for country development, offering durable, environmentally friendly, and cost-effective infrastructure. For Malaysia, sustainable pavement supports Sustainable Development Goals (SDGs) 9 and 11 while addressing road deterioration caused by increasing traffic volumes and loads. This deterioration shortens pavement service life and necessitates frequent maintenance, driving the need for innovative solutions.

Flegel's Disease A Very Rare Skin Disease: A Case Report of Mother and Daughter in a Family.

Flegel's disease (FD) or hyperkeratosis lenticularis perstans (HLP) is an extremely exceptional skin disease typified by hyper-keratotic papules usually found on the lower extremities. Only the histopathological study is the confirmatory test for diagnosis this disease. The treatment of Flegel's disease is not yet settled as a standard one.

Phytol and bilimbi phytocompounds induce thermogenic adipocyte differentiation: An in vitro study on potential anti-obesity effects.

Obesity is a major health concern associated to diabetes, cardiovascular disease, and cancer. Brown adipocytes, which specialise in thermogenesis, offer a potential therapeutic target for obesity prevention and related conditions. This study builds on previous findings of the browning activity of Averrhoa bilimbi hexane fractions and aims to elucidate the underlying mechanisms in vitro.

Enhancing cross-subject emotion recognition precision through unimodal EEG: a novel emotion preceptor model.

Affective computing is a key research area in computer science, neuroscience, and psychology, aimed at enabling computers to recognize, understand, and respond to human emotional states. As the demand for affective computing technology grows, emotion recognition methods based on physiological signals have become research hotspots. Among these, electroencephalogram (EEG) signals, which reflect brain activity, are highly promising.

Advanced vision transformers and open-set learning for robust mosquito classification: A novel approach to entomological studies.

Mosquito-related diseases pose a significant threat to global public health, necessitating efficient and accurate mosquito classification for effective surveillance and control. This work presents an innovative approach to mosquito classification by leveraging state-of-the-art vision transformers and open-set learning techniques. A novel framework has been introduced that integrates Transformer-based deep learning models with comprehensive data augmentation and preprocessing methods, enabling robust and precise identification of ten mosquito species.

Assessing the quality of data for selected reproductive health indicators in designated public health facilities in Bangladesh.

Background: An effective health management information system plays a pivotal role in evidence-based decision-making and strengthening health service delivery in a country. The Directorate General of Health Services and the Directorate General of Family Planning of Bangladesh have adopted digital health management information system platforms named district health information system and management information system, respectively. Despite its significance, health management information system data has numerous issues, such as missing values, inaccuracies, lack of internal consistency, and the presence of outliers.

AI-Aided Gait Analysis with a Wearable Device Featuring a Hydrogel Sensor.

Wearable devices have revolutionized real-time health monitoring, yet challenges persist in enhancing their flexibility, weight, and accuracy. This paper presents the development of a wearable device employing a conductive polyacrylamide-lithium chloride-MXene (PLM) hydrogel sensor, an electronic circuit, and artificial intelligence (AI) for gait monitoring. The PLM sensor includes tribo-negative polydimethylsiloxane (PDMS) and tribo-positive polyurethane (PU) layers, exhibiting extraordinary stretchability (317% strain) and durability (1000 cycles) while consistently delivering stable electrical signals.

Ag-Co ferrite-based magnetic polymeric composite film: a breakthrough in cationic dye remediation for sustainable environment.

The deployment of magnetically responsive and polymeric materials to remove dyes that are hazardous in aquatic environments has profoundly revolutionized environmental sustainability. This study focuses on removing the hazardous cationic Malachite Green (MG) dye from solutions, employing a novel magnetic composite film as an adsorbent, designated as AgCo FeO (ACFCeP). The composite was synthesized solvent casting, incorporating AgCo FeO nanoparticles and CeO into a cellulose acetate/polyvinylpyrrolidone (CA/PVP) polymer matrix.

Examining the e-cigarette scenario based on distribution, availability, marketing, and banning: A GIS-Based qualitative study in Bangladesh.

Background: Globally, over 81 million people use e-cigarettes, and the majority of them are young adults. Using e-cigarettes causes different types of adverse health effects both in adults and elderly people. Over time, using e-cigarettes has detrimental consequences on lung function, brain development and numerous other illnesses.

A Case-Control Split-Mouth Study of Comparison of Maximum Occlusal Forces in Endodontically Treated Teeth and Vital Counterparts.

Purpose: To compare the maximum occlusal force in endodontically treated teeth and their vital contralateral counterparts and to evaluate the intraoral factors affecting them.

Materials And Methods: Thirty adult participants presented with an endodontically treated tooth and its vital contralateral counterpart were recruited, with 15 males and females in each group. Maximum occlusal forces were measured using a wireless sensor network occlusal force recorder, and the mean maximum occlusal force of endodontically treated teeth was compared with that of their vital contralateral counterparts.

Autophagy as a targeted therapeutic approach for skin cancer: Evaluating natural and synthetic molecular interventions.

Skin cancer, a prevalent malignancy worldwide, poses significant health concerns owing to its increasing incidence. Autophagy, a natural cellular process, is a pivotal event in skin cancer and has advantageous and detrimental effects. This duality has prompted extensive investigations into medical interventions targeting autophagy modulation for their substantial therapeutic potential.

Ensemble of vision transformer architectures for efficient Alzheimer's Disease classification.

Transformers have dominated the landscape of Natural Language Processing (NLP) and revolutionalized generative AI applications. Vision Transformers (VT) have recently become a new state-of-the-art for computer vision applications. Motivated by the success of VTs in capturing short and long-range dependencies and their ability to handle class imbalance, this paper proposes an ensemble framework of VTs for the efficient classification of Alzheimer's Disease (AD).

Targeted sulfur(VI) fluoride exchange-mediated covalent modification of a tyrosine residue in the catalytic pocket of tyrosyl-DNA phosphodiesterase 1.

Developing effective inhibitors of the DNA repair enzyme tyrosyl-DNA phosphodiesterase 1 (TDP1) has been challenging because of the enzyme shallow catalytic pocket and non-specific substrate binding interactions. Recently, we discovered a quinolone-binding hot spot in TDP1's active site proximal to the evolutionary conserved Y204 and F259 residues that position DNA. Sulfur (VI) fluoride exchange (SuFEx) is a biocompatible click chemistry reaction that enables acylation of protein residues, including tyrosine.

Non-equilibrium thermodynamics in NMR: understanding quadrupolar spin-1 systems.

In this study, we explore the non-equilibrium thermodynamics of a quantum system, specifically focusing on spin-1 quadrupole nuclei. By employing fundamental principles from quantum mechanics and statistical mechanics, we aim to understand the behavior of the quadrupole spin-1 nuclei when subjected to external perturbations. Our analysis involves the investigation of the system's dynamic response to non-equilibrium conditions through the manipulation of a work parameter.

Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3.

Background: Sepsis poses a critical threat to hospitalized patients, particularly those in the Intensive Care Unit (ICU). Rapid identification of Sepsis is crucial for improving survival rates. Machine learning techniques offer advantages over traditional methods for predicting outcomes.