Atrial remodelling and dysfunction in hypertrophic cardiomyopathy: prognostic role and therapeutic target by Chiara Piazzai, Alessio Petrone, Andrea Stefanini, Flavio D’Ascenzi, Iacopo Olivotto, Iacopo Olivotto, Matteo Cameli

“…Moreover, interventions that reduce LVOTO (e.g., surgical myectomy) have been shown to induce LA reverse remodelling and improve diastolic parameters. Emerging therapies, like cardiac myosin inhibitors, also improve LV function but present complex effects on atrial performance, with some evidence suggesting a reduction in atrial strain that warrants further investigation.ConclusionAtrial remodelling is a significant marker of disease severity in HCM and an important independent predictor of adverse outcomes, including AF and cardioembolic events. …”
Get full text

Eating Disorders in Athletes: The Female Athlete Triad and RED-S - A Literature Review by Monika Fidyk, Michał Bolek, Bartosz Jagieła, Aleksandra Kędzia, Dominika Musialska, Magda Minkiewicz, Maciej Dyda

“…Prevention strategies emphasize early education, targeted screening, and programs like ATHENA, which promote healthy behaviors and body image among adolescent athletes. …”
Get full text

Vocabulary Is an Appropriate Measure of Premorbid Intelligence in a Sample with Heterogeneous Educational Level in Brazil by Maira Okada de Oliveira, Ricardo Nitrini, Mônica Sanches Yassuda, Sonia Maria Dozzi Brucki

“…Premorbid intelligence quotient (IQ) refers to one’s intellectual ability level previous to the onset of disorders like mild cognitive impairment (MCI) and Alzheimer’s disease (AD) and it is important to estimate disease severity. …”
Get full text

Lead-induced hypertension and cognitive dysfunction: brain amyloid pathology by Yunbo Zhang, Yao Xu, Yanling Song, Yachun Wang, Minghui Chen, Xinbo Ji, Yunyun Lin, Shenhong Gu

“…Conclusions Pb exacerbates AD-like pathology through MR-related hypertensive and inflammatory mechanisms. …”
Get full text

Proposing Optimized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites by Feng Bin, Shahab Hosseini, Jie Chen, Pijush Samui, Hadi Fattahi, Danial Jahed Armaghani

“…We present a comparative analysis of two hybrid models, Harris Hawks Optimization with Random Forest (HHO-RF) and Sine Cosine Algorithm with Random Forest (SCA-RF), against traditional regression methods and classical models like the Extreme Learning Machine (ELM), General Regression Neural Network (GRNN), and Radial Basis Function (RBF). …”
Get full text

Three-Dimensional Thermal Tomography with Physics-Informed Neural Networks by Theodoros Leontiou, Anna Frixou, Marios Charalambides, Efstathios Stiliaris, Costas N. Papanicolas, Sofia Nikolaidou, Antonis Papadakis

“…A physics-informed loss function embedding the heat equation was used in conjunction with statistical uncertainty during training to simulate realistic scenarios. …”
Get full text

Machine Learning and Statistical Analyses of Sensor Data Reveal Variability Between Repeated Trials in Parkinson’s Disease Mobility Assessments by Rana M. Khalil, Lisa M. Shulman, Ann L. Gruber-Baldini, Sunita Shakya, Jeffrey M. Hausdorff, Rainer von Coelln, Michael P. Cummings

“…Mobility tasks like the Timed Up and Go test (TUG), cognitive TUG (cogTUG), and walking with turns provide insights into the impact of Parkinson’s disease (PD) on motor control, balance, and cognitive function. …”
Get full text

FGB-OPRAm: integrating fuzzy granular-ball and OPRAm for spatial query answering in uncertain environments by Bongjae Kwon, Kiyun Yu

“…We evaluate our approach through a series of experiments using OpenStreetMap data, comparing its performance against crisp region baselines, probabilistic KDE models, and deep learning methods like SpaBERT, ST-Transformer, and GNNs. …”
Get full text

Mitochondrial modulation treating postoperative cognitive dysfunction neuroprotection via DRP1 inhibition by Mdivi1 by Jun Ying, Xiaobing Deng, Ruini Du, Qiyang Ding, Hao Tian, Yue Lin, Bin Zhou, Wei Gao

“…Our findings indicated that DRP1 inhibition substantially mitigated neuroinflammation mediated by microglial cells, contributing to improved cognitive function in POCD models. The administration of Mdivi-1 led to a notable decrease in mitochondrial fission, reduced reactive oxygen species (ROS) production, and stabilization of mitochondrial membrane potential, all of which correlate with diminished neuroinflammation, as evidenced by lower NOD-like receptor family pyrin domain containing 3 (NLRP3)/ interleukin-1β (IL-1β) expression in microglial cells. …”
Get full text

The importance of frequency–place mismatch in the quality of sound perceived in single-sided deafness among cochlear implant recipients by Guillaume Gersdorff, Nicola Ivanovic, Masoud Zoka Assadi, Peter Nopp, Séverine Camby, Philippe Lefèbvre

“…Anatomical frequency mapping using tools like OTOPLAN can enhance CI outcomes, highlighting the need for individualized cochlear measurements and electrode assignment.…”
Get full text

Knowledge, attitude, and practice of nurses regarding enteral feeding: a systematic review by Akbar Zare-Kaseb, Sogand Sarmadi, Amir Mohamad Nazari, Arman Ryahin, Amir Emami Zeydi

“…Enteral feeding maintains gastrointestinal function but has complications like aspiration, diarrhea, and constipation. …”
Get full text

Nearest-neighbors neural network architecture for efficient sampling of statistical physics models by Luca Maria Del Bono, Federico Ricci-Tersenghi, Francesco Zamponi

“…In particular, it captures properties such as the energy, the correlation function and the overlap probability distribution. …”
Get full text

A review on WSN based resource constrained smart IoT systems by Shreeram Hudda, K. Haribabu

“…DL), D2D communication, Computer Vision, and Network Function Virtualization (i.e. NFV). Additionally, it emphasizes assessing and offloading specific IoT application functions onto the network’s edge to enhance performance. …”
Get full text

Artificial intelligence approach to magnetohydrodynamic flow of non-Newtonian fluids over a wedge: Thermophoresis and Brownian motion effects by Talal Taha, Sohaib Abdal, Liaqat Ali, Rana Muhammad Zulqarnain, Se-Jin Yook

“…ODEs are first solved numerically using MATLAB’s bvp4c function, a known solver of boundary value problems known to solve complex ODEs within fluid dynamics very effectively. …”
Get full text

Improving the Thermostone Properties by Treating with Some Additives by Sahar Sadoon Abdullah, Shatha Ahmed Abdullah, Abeer Hashem Abdullah, Saad Awad, Ahmed Salman

“…This research examines ways to enhance specifications and create a thermostone building system that, in terms of function, performance, and construction techniques, both meets the needs of regional architecture and the technical development process as a whole. …”
Get full text

Stem cell-based therapeutic strategies for down syndrome and Alzheimer’s disease by Osama Hamadelseed, Thomas Skutella

“…Preclinical trials using neural, mesenchymal, and induced pluripotent stem cells have shown their potential to mitigate disease pathology, restore neuronal function, modulate neuroinflammation, enhance neurogenesis, and improve cognitive performance in DS and AD models; these findings suggest the viability of stem cell-based interventions as a disease-modifying strategy. …”
Get full text

Acceptability and impact of computerised cognitive training on mental health and cognitive skills in schizophrenia: a double-blind controlled trial by Elahe Fathi Azar, Hooshang Mirzaie, Samaneh Hosseinzadeh, Hojjat Allah Haghgoo

“…Background Schizophrenia is characterised by pervasive cognitive deficits that significantly impair daily functioning and quality of life. Pharmacological treatments have limited efficacy in addressing these deficits, highlighting the need for adjunctive interventions like computerised cognitive training (CCT).Aims This study aimed to evaluate the effects of a 30-session CCT programme on mental well-being and cognitive performance in individuals with schizophrenia. …”
Get full text

Real‐time object detection for unmanned vehicles in Bangladesh: Dataset, implementation and evaluation by Muhammad Liakat Ali, Topu Biswas, Shahin Akter, Mohammed Farhan Jawad, Hadaate Ullah

“…However, the intelligent identification of road vehicles in a densely populated country like Bangladesh is challenging due to irregular traffic patterns, highly diverse vehicle types, a cluttered environment, and a lack of high‐quality datasets. …”
Get full text

A Deep Learning Framework for Chronic Kidney Disease stage classification by Gayathri Hegde M, P Deepa Shenoy, Venugopal KR, Arvind Canchi

“…Chronic Kidney Disease (CKD) has become more prevalent, leading to a gradual decline in kidney function and, ultimately, in renal failure. Timely detection of the CKD stage is essential for enhancing healthcare services and decreasing morbidity and mortality. …”
Get full text

Behavioral assessment of well-being in the naïve laboratory ferret (Mustela putorius furo) by Molly J. Goodfellow, Lorena E. Hong, Boris Piskoun, Julie L. Proctor, Jody C. Cantu, Gary Fiskum

Get full text