Cognitive load detection through EEG lead wise feature optimization and ensemble classification.

Cognitive load stimulates neural activity, essential for understanding the brain's response to stress-inducing stimuli or mental strain. This study examines the feasibility of evaluating cognitive load by extracting, selection, and classifying features from electroencephalogram (EEG) signals. We employed robust local mean decomposition (R-LMD) to decompose EEG data from each channel, recorded over a four-second period, into five modes.

C19orf12 gene variants causing mitochondrial membrane protein-associated neurodegeneration (MPAN).

Mitochondrial membrane protein-associated neurodegeneration (MPAN) is a rare neurodegenerative disorder characterized by spastic paraplegia, parkinsonism and psychiatric and/or behavioral symptoms caused by variants in gene encoding chromosome-19 open reading frame-12 (C19orf12). We present here seven patients from six unrelated families with detailed clinical, radiological, and genetic investigations. Childhood-onset patients predominantly had a spastic ataxic phenotype with optic atrophy, while adult-onset patients were presented with cognitive, behavioral, and parkinsonian symptoms.

CsAgBiBr and related Halide double perovskite porous single crystals.

The utilization of single crystals is exponentially growing in optoelectronic devices due to their exceptional benefits, including high phase purity and the absence of grain boundaries. However, achieving single crystals with a porous structure poses significant challenges. In this study, we present a method for fabricating porous single crystals (porous-SC) of CsAgBiBr and related halide double perovskites using an infrared-assisted spin coating technique.

Circular RNAs in cancer: roles, mechanisms, and therapeutic potential across colorectal, gastric, liver, and lung carcinomas.

The prominence of circular RNAs (circRNAs) has surged in cancer research due to their distinctive properties and impact on cancer development. This review delves into the role of circRNAs in four key cancer types: colorectal cancer (CRC), gastric cancer (GC), liver cancer (HCC), and lung cancer (LUAD). The focus lies on their potential as cancer biomarkers and drug targets.

Machine learning assisted classification RASAR modeling for the nephrotoxicity potential of a curated set of orally active drugs.

We have adopted the classification Read-Across Structure-Activity Relationship (c-RASAR) approach in the present study for machine-learning (ML)-based model development from a recently reported curated dataset of nephrotoxicity potential of orally active drugs. We initially developed ML models using nine different algorithms separately on topological descriptors (referred to as simply "descriptors" in the subsequent sections of the manuscript) and MACCS fingerprints (referred to as "fingerprints" in the subsequent sections of the manuscript), thus generating 18 different ML QSAR models. Using the chemical spaces defined by the modeling descriptors and fingerprints, the similarity and error-based RASAR descriptors were computed, and the most discriminating RASAR descriptors were used to develop another set of 18 different ML c-RASAR models.

Identification of channel shifting patterns and bank erosion-prone sites and challenges of riverine livelihood in the lower Tista River basin.

In fluvial environments, the shifting of river channels and bank erosion are frequently caused by both natural and anthropogenic factors. Riverine hazards like bank erosion and course alterations offer severe issues to the riparian villages along the lower basin of the Tista River in India, which substantially influence the livelihoods of inhabitants living there. This research addressed river channel shifting tendency and identified major bank erosion-prone villages along the lower course of the Tista River and challenges to the livelihoods of the riparian people.

Enhancing security and efficiency in Mobile Ad Hoc Networks using a hybrid deep learning model for flooding attack detection.

Mobile Ad Hoc Networks (MANETs) are increasingly replacing conventional communication systems due to their decentralized and dynamic nature. However, their wireless architecture makes them highly vulnerable to flooding attacks, which can disrupt communication, deplete energy resources, and degrade network performance. This study presents a novel hybrid deep learning approach integrating Convolutional Neural Networks (CNN) with Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) architectures to effectively detect and mitigate flooding attacks in MANETs.

Efficiency improvement in silicon and perovskite solar cells through nanofluid cooling using citrate and PVP stabilized silver nanoparticles.

This study investigates the enhancement of solar cell efficiency using nanofluid cooling systems, focusing on citrate-stabilized and PVP-stabilized silver nanoparticles. Traditional silicon-based and perovskite solar cells were examined to assess the impact of these nanofluids on efficiency improvement and thermal management. A Central Composite Design (CCD) was employed to vary nanoparticle concentration (0.

Epidemiological Study on Humans, Animals and Snails for Schistosomiasis in Two Endemic Municipalities Nearing Elimination in Bohol, the Philippines.

Purpose: A comprehensive survey was conducted to assess the prevalence of Schistosoma japonicum infection in humans, water buffaloes, and snails in the two endemic municipalities of Talibon and Trinidad in Bohol, Philippines, which are nearing elimination.

Methods And Results: Human stool and blood samples were collected from barangays with snail breeding sites, and results showed higher positivity rates using the rSjTPx-1-ELISA compared to the Kato-Katz technique. Human stool examination for showed a 0.

Computational evaluation of micropores wetting effect on the removal process of CO through the membrane contactor.

In the current years, gas-liquid membrane contactors (GLMCs) have been introduced as a promising, versatile and easy-to-operate technology for mitigating the emission of major greenhouse contaminants (i.e., CO and HS) to the ecosystem.

Exploring pyrazolines as potential inhibitors of NSP3-macrodomain of SARS-CoV-2: synthesis and in silico analysis.

COVID-19 has proved to be a global health crisis during the pandemic, and the emerging JN.1 variant is a potential threat. Therefore, finding alternative antivirals is of utmost priority.

An integrated DEA-fuzzy AHP method for prioritization of renewable energy sources in India.

As India's population grows and urbanization accelerates, energy demand is increasing sharply while conventional sources fall behind. To tackle energy shortages and climate change, India must prioritize renewable energy sources (RES), which offer sustainable solutions. The country is rich in RES, which can enhance fuel mix for electricity generation.

Complex Diophantine interval-valued Pythagorean normal set for decision-making processes.

A novel method for solving the multiple-attribute decision-making problem is proposed using the complex Diophantine interval-valued Pythagorean normal set (CDIVPNS). This study aims to discuss aggregating operations and how they are interpreted. We discuss the concept of CDIVPN weighted averaging (CDIVPNWA), CDIVPN weighted geometric (CDIVPNWG), generalized CDIVPN weighted averaging (CGDIVPNWA) and generalized CGDIVPN weighted geometric (CGDIVPNWG).

Wealth-based inequalities in tuberculosis prevalence among households having children and young adults in India: insights from Indian demographic and health surveys (2015-2021).

Background: Tuberculosis (TB) remains a significant health concern in India, especially among households with children and young adolescents aged 6-17 years. Despite ongoing research, there is a knowledge gap regarding specific risk factors for TB within this demographic. This study aims to bridge this gap by examining the association between TB and various socio-demographic factors, including socioeconomic status, nutritional status, and environmental conditions.

Appraisal of the Fragments-In-Fragments Method for the Energetics of Individual Hydrogen Bonds in Molecular Crystals.

We report a direct application of the molecular tailoring approach-based (MTA-based) method to calculate the individual hydrogen bond (HB) energy in molecular crystal. For this purpose, molecular crystals of nitromalonamide (NMA) and salicylic acid (SA) were taken as test cases. Notably, doing a correlated computation using a large molecular crystal structure is difficult.

Severe childhood SLE with refractory autoimmune hemolytic anemia-a therapeutic challenge.

Paediatric Systemic lupus erythematosus (SLE) constitutes 10 to 20% of cases of SLE with more severe disease and higher mortality. We report a case of an adolescent girl with SLE with multisystem involvement who was started on hydroxychloroquine and oral prednisolone. However, due to persistent worsening of skin lesions and falling cell counts, pulsed dexamethasone was initiated which showed improvement in the skin lesions, cell counts, proteinuria and pleural effusion but there was a persistent fall in the haemoglobin.

Precocious puberty: the unlikely herald of Familial adenomatous polyposis in a young girl.

We describe the case of a girl in her middle childhood who presented with signs of heterosexual precocious puberty in the form of axillary and pubic hair growth, acne and clitoromegaly. Investigations showed elevated androgens and autonomous cortisol excess, suggesting an adrenal source. CT imaging confirmed a left adrenal mass and multiple colonic polyps.

Successful pregnancy outcome in a recipient of simultaneous pancreatic kidney transplantation.

There is limited information available regarding post-simultaneous pancreatic kidney transplantation (SPKT) pregnancies. The present case describes a woman in her early 30s with first pregnancy who conceived spontaneously 4 years after SPKT. Her pancreatic and kidney graft function remained stable throughout the pregnancy.

Congestive myelopathy secondary to epidural venous engorgement and venous congestion in a patient with Budd-Chiari syndrome and its management through inferior vena cava stenting.

Budd-Chiari syndrome with obstruction in the inferior vena cava causes increased venous pressure in the azygous-hemiazygous system and paravertebral venous plexus, which is transmitted to the epidural venous plexus, devoid of the valves. It causes epidural venous plexus engorgement and venous congestion and may present rarely with low back pain or radiating pain. However, patients developing lower limb weakness as a complication of Budd-Chiari syndrome is an infrequent and severe presentation.

Localization in primary hyperparathyroidism.

Primary hyperparathyroidism is the main cause of hypercalcemia, resulting predominantly from parathyroid adenomas followed by hyperplasia. Diagnosis relies on clinical and biochemical parameters. Accurate pre-operative localization is mandatory for better surgical outcome.