Integration of single-nuclei transcriptome and bulk RNA-seq to unravel the role of AhWRKY70 in regulating stem cell development in Arachis hypogaea L.

Peanut stem is a vital organ to provide mechanical support and energy for aerial tissue development. However, the transcriptional regulatory mechanisms underlying stem development at a single-cell resolution remain unclear. Herein, single-nuclei isolation coupled with fluorescent-activated cell sorting was employed to construct a cell atlas of peanut seedling stems using microdroplets-based single-nuclei RNA-sequencing.

Morphology-/microstructure-regulated nickel/nitrogen-co-doped monodisperse hollow carbon spheres for controlled electrochemical CO reduction to syngas.

Monodisperse carbon materials have attracted increasing attention in the fields of catalysis, adsorption, and energy storage. However, the preparation of monodisperse microstructure-controlled carbon spheres still faces tremendous challenges due to the complexity of involved polymerization/carbonization processes and the difficulty of controlling high monodispersity and regulating microstructures, which are vital for ensuring a uniform packing, determining consistent physical and chemical properties and targeting applications. Here, we report an approach to address these issues by co-doping nickel and nitrogen into an aminophenol-formaldehyde resin (APFR) polymer framework.

Stiff and self-healing hydrogels by polymer entanglements in co-planar nanoconfinement.

Many biological tissues are mechanically strong and stiff but can still heal from damage. By contrast, synthetic hydrogels have not shown comparable combinations of properties, as current stiffening approaches inevitably suppress the required chain/bond dynamics for self-healing. Here we show a stiff and self-healing hydrogel with a modulus of 50 MPa and tensile strength up to 4.

De-ashed-biochar slow-release N fertilizer increased NUE in alkaline calcareous soils under wheat and maize crops.

Recently biochar has widely been reported as carrier of SRFs. However, the performance of SRFs synthesized from pristine biochar is still low and could not achieve the significant benefits compared to conventional N fertilizers. To overcome this limitation and research gap, BSRFs were synthesized using modified / de-ashed biochar as N-carrier.

Long-term effect of repeated low-level red light therapy on myopia control: A systematic review and meta-analysis.

Introduction: Myopia is a refractive error where distant objects are not clearly seen and appear blurred. Goal of this study was to evaluate long-term effectiveness of Repeated Low-Level Red Light (RLRL) therapy for children with myopia, which primarily focused on Axial length (AL) and Spherical Equivalent Refraction (SER) as primary endpoints.

Methods: The research compared outcomes between RLRL treatment with Single Vision Spectacles (SVS) for childhood myopia management.

Evidence of rapid rise in population immunity from SARS-CoV-2 subclinical infections through pre-vaccination serial serosurveys in Pakistan.

Background: Understanding factors associated with protective immunity against emerging viral infections is crucial for global health. Pakistan reported its first COVID-19 case on 26 February 2020, but experienced relatively low COVID-19-related morbidity and mortality between 2020 and 2022. The underlying reasons for this remain unclear, and our research aims to shed light on this crucial issue.

Higher Selective Targeting of Telomeric Multimeric G-quadruplex by Natural Product Berberine.

Introduction: G-quadruplexes (G4s) are non-classical high-level structures that are formed by DNA/RNA sequences and have been a promising target for developing antitumor drugs. However, it is still a challenge to find a ligand that binds to a particular G4 with selectivity. Telomeric multimeric G4s are more accessible for screening for specific ligands due to their higher-order structure compared with telomeric monomeric G4s.

Unvaccinated and Unprepared: A COVID-19 Saga of Diffuse Alveolar Hemorrhage.

Diffuse alveolar hemorrhage (DAH) is a severe complication that can arise from various conditions, including COVID-19. This case report describes a 37-year-old Caucasian male with mild asthma and obesity who developed diffuse alveolar hemorrhage (DAH) following a COVID-19 infection. Despite initial treatment, his respiratory status deteriorated, leading to intubation and venovenous extracorporeal membrane oxygenation (VV ECMO).

Palladium Nanocubes with {100} Facets for Hydrogen Evolution Reaction: Synthesis, Experiment and Theory.

Spatially separated palladium nanocubes (Pd NCs) terminated by {100} facets are synthesized using direct micelles approach. The stepwise seed-mediated growth of Pd NCs is applied for the first time. The resulting Pd NCs are thoroughly characterized by HR-TEM, XPS, Raman, ATR-FTIR, TGA, and STEM-EDX spectroscopies.

Study protocol for a randomized control trial investigating the effectiveness of a multifaceted mHealth approach on adherence to antihypertensive treatment among patients in Pakistan.

Background & Objectives: Poor medication adherence is an essential contributor to Pakistan's high prevalence of uncontrolled hypertension. This study will be aimed to assess the efficacy of a one-of-a-kind developed intervention in improving medication adherence and treatment outcomes in hypertension patients.

Methods: Twleve months duration long randomized controlled trial from January to December 2021 will be carried out at Shaikh Zayed Medical Complex (SZMC), Lahore.

Role of Artificial Intelligence-assisted Decision Support Tool for Common Rhythm Disturbances: A ChatGPT Proof-of-concept Study.

Background: The objective of this article was to explore the use of ChatGPT as a clinical support tool for common arrhythmias.

Methods: This study assessed the feasibility of using ChatGPT as an AI decision-support tool for common rhythm disturbances. The study was conducted using retrospective data collected from electronic medical records (EMRs) of patients with documented rhythm disturbances.

Knowledge, Attitudes, and Practices (KAP) of Postgraduate Medical Trainees Regarding Patient Care in Diabetes and Hypertension.

Background: Diabetes and hypertension are common chronic illnesses that need to be effectively managed. To improve patient outcomes, healthcare workers' knowledge, attitudes, and practices (KAP) are essential.

Objective: This study aimed to evaluate the KAP of postgraduate medical trainees regarding the management of diabetes and hypertension.

The potential of seaweed-derived polysaccharides as sustainable biostimulants in agriculture.

Seaweed polysaccharides such as alginate, carrageenan, agar, and ulvan are emerging as key bioresources in sustainable agriculture due to their unique structural characteristics and functional properties. This review highlights their potential as eco-friendly biostimulants capable of enhancing soil health, plant growth, and stress resilience. Specific mechanisms, including the gel-forming capacity of alginate, ion exchange abilities, and the hydrophilic nature of these polysaccharides, enable improved water retention, nutrient uptake, and plant productivity under adverse conditions, including drought, salinity, and extreme temperatures.

Identification of EXPA4 as a key gene in cotton salt stress adaptation through transcriptomic and coexpression network analysis of root tip protoplasts.

Background: Salinity stress impairs cotton growth and fiber quality. Protoplasts enable elucidation of early salt-responsive signaling. Elucidating crop tolerance mechanisms that ameliorate these diverse salinity-induced stresses is key for improving agricultural productivity under saline conditions.

Chemical profile changes in Peanut seeds infected with aspergillus flavus via widely targeted metabolomics.

Peanut seeds are enriched with protein and fatty acids, making them susceptible to infection by Aspergillus flavus (A. flavus). The infected seeds are harmful to human health due to the aflatoxin contamination.

Bridging the Vaccination Equity Gap: A Community-Driven Approach to Reduce Vaccine Inequities in Polio High-Risk Areas of Pakistan.

Immunization saves millions of lives, and globally, vaccines have significantly contributed to reducing mortality and morbidity due to more than 20 life-threatening illnesses. However, there are considerable disparities in vaccination coverage among countries and within populations. This study evaluates the reduction in disparities in vaccination coverage across various socio-economic groups by adopting an integrated community-engagement approach combined with maternal and child health services through mobile health camps.

Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI.

Fetal health holds paramount importance in prenatal care and obstetrics, as it directly impacts the wellbeing of mother and fetus. Monitoring fetal health through pregnancy is crucial for identifying and addressing potential risks and complications that may arise. Early detection of abnormalities and deviations in fetal health can facilitate timely interventions to mitigate risks and improve outcomes for the mother and fetus.

FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model.

Facial emotion recognition (FER) can serve as a valuable tool for assessing emotional states, which are often linked to mental health. However, mental health encompasses a broad range of factors that go beyond facial expressions. While FER provides insights into certain aspects of emotional well-being, it can be used in conjunction with other assessments to form a more comprehensive understanding of an individual's mental health.

Incidence of postoperative cerebrospinal fluid leaks in endoscopic endonasal transsphenoidal surgery for pituitary adenomas without sellar floor reconstruction: A retrospective observational study from a low-middle-income country.

Objectives: To determine the incidence of postoperative cerebrospinal fluid (CSF) leaks after endoscopic endonasal transsphenoidal surgery (EETS) for pituitary adenomas without sellar floor reconstruction (SFR).

Methods: This retrospective observational study was conducted at Department of Neurosurgery, Punjab Institute of Neurosciences (PINS), Lahore, Pakistan from January, 2018 to December, 2022. It is a non-probability based consecutive case series.

Novel approach for Arabic fake news classification using embedding from large language features with CNN-LSTM ensemble model and explainable AI.

The widespread fake news challenges the management of low-quality information, making effective detection strategies necessary. This study addresses this critical issue by advancing fake news detection in Arabic and overcoming limitations in existing approaches. Deep learning models, Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM), EfficientNetB4, Inception, Xception, ResNet, ConvLSTM and a novel voting ensemble framework combining CNN and LSTM are employed for text classification.

Implications of the Gut Microbiome in Alzheimer's Disease: A Narrative Review.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder, with its prevalence doubling approximately every decade. It is a significant contributor to disability-adjusted life-years in individuals aged 50 and older, impacting a substantial portion of this population globally. The pathophysiology of AD is primarily explained by two hypotheses: the amyloid cascade hypothesis and the tau hypothesis.

TRI-POSE-Net: Adaptive 3D human pose estimation through selective kernel networks and self-supervision with trifocal tensors.

Accurate and flexible 3D pose estimation for virtual entities is a strenuous task in computer vision applications. Conventional methods struggle to capture realistic movements; thus, creative solutions that can handle the complexities of genuine avatar interactions in dynamic virtual environments are imperative. In order to tackle the problem of precise 3D pose estimation, this work introduces TRI-POSE-Net, a model intended for scenarios with limited supervision.

Kinetic sand! A tale of sandy times.

Kinetic magnetic sand, composed of ultra-fine sand and dimethicone in a 98%-2% ratio, is a versatile sensory toy known for its moldable properties and structural stability (1). Despite the name, it lacks actual magnetic features. Ingesting kinetic sand can pose risks, including choking and gastrointestinal issues, especially in young children.