Comparative effect of atorvastatin and risperidone on modulation of TLR4/NF-κB/NOX-2 in a rat model of valproic acid-induced autism by Eman A. E. Farrag, Mona H. Askar, Zienab Abdallah, Safinaz M. Mahmoud, Eman A. Abdulhai, Eman Abdelrazik, Eman Mohamad El Nashar, Faten Mohammed Alasiri, Asma Nasser Saeed Alqahtani, Mamdouh Eldesoqui, Ali M. Eldib, Alshimaa Magdy

Get full text

Addressing Biomechanical Errors in the Back Squat for Older Adults: A Clinical Perspective for Maintaining Neutral Spine and Knee Alignment by Zacharias Papadakis, Andreas Stamatis, Rania Almajid, Kwadwo Appiah-Kubi, Matthew Lee Smith, Nata Parnes, Ali Boolani

“…<b>Results:</b> While the back squat is beneficial, proper form is essential to avoid biomechanical errors, like lumbar hyperlordosis and knee valgus. <b>Conclusions:</b> Health and fitness professionals, such as physical therapists and/or clinical exercise physiologists, should carefully guide older adults in performing the back squat, addressing any functional deficits, and ensuring proper technique to minimize the risk of injury and maximize the benefits.…”
Get full text

Neurosciences and Sports Rehabilitation in ACLR: A Narrative Review on Winning Alliance Strategies and Connecting the Dots by Rocco Salvatore Calabrò, Andrea Calderone, Nicola Fiorente

Get full text

Validity and Reliability of 2D Video Analysis for Swimming Kick Start Kinematics by Ivan Matúš, Bibana Vadašová, Tomáš Eliáš, Łukasz Rydzik, Tadeusz Ambroży, Wojciech Czarny

Get full text

Manipulating Resistance Exercise Variables to Improve Jumps, Sprints, and Changes of Direction in Soccer: What We Know and What We Don’t Know by Sandro Bartolomei, Marco Beato, Giuseppe Coratella

Get full text

Spinal Region Prevalence of Angle Trunk Rotation in Adolescent Male Soccer Players: A Cross-Sectional Study by Eleni Theodorou, Eleanna Chalari, Marios Hadjicharalambous

Get full text

The Coracohumeral Ligament and Its Fascicles: An Anatomic Study by Emilio González-Arnay, Isabel Pérez-Santos, Camino Braojos-Rodríguez, Artimes García-Parra, Elena Bañón-Boulet, Noé Liria-Martín, Lidia Real-Yanes, Mario Fajardo-Pérez

“…Further histological assessment was performed on the two remaining non-embalmed shoulders. …”
Get full text

Comparative evaluation of esthetic and physical properties of CAD/CAM PEEK oral space maintainers by Zhao Hao Zhen, Hua Cui Xiong, Ke Chen

Get full text

Elderly Hip Osteoarthritis: A Review of Short-Term Pain Relief Through Non-Weight-Bearing Therapies by Olivia Norato, Sarah Velez, Arbonor Lleshi, Gordon Lam, Marlon Morales, Glory Udechi, Edwin Cung, Jean-Philippe Berteau

“…Older individuals with hip osteoarthritis (OA) who have difficulty walking, climbing stairs, or performing daily tasks often find non-weight-bearing (NWB) exercises essential for rebuilding strength and preserving function without further stressing the joints. …”
Get full text

Physical and mechanical properties assessment of glass ionomer cements modified with TiO and Mg-doped hydroxyapatite nanoparticles by Bojana Ramić, Milica Cvjetićanin, Branislav Bajkin, Milan Drobac, Marija Milanović, Dragan Rajnović, Veljko Krstonošić, Đorđe Veljović

Get full text

Large Language Model-Guided SARSA Algorithm for Dynamic Task Scheduling in Cloud Computing by Bhargavi Krishnamurthy, Sajjan G. Shiva

“…But it lacks the ability to provide better heuristics for state and action pairs, resulting in biased solutions in a highly dynamic and uncertain computing environment like cloud. In this paper, the SARSA learning ability is enriched by the guidance of the Large Language Model (LLM), which uses LLM heuristics to formulate the optimal Q function. …”
Get full text

An unsupervised underwater image enhancement method based on generative adversarial networks with edge extraction by Yanfei Jia, Ziyang Wang, Liquan Zhao

“…First, we introduce the perceptual loss function into the conventional loss function to better measure the performance of two generative networks. …”
Get full text

Exploring statistical and machine learning methods for modeling probability distribution parameters in downtime length analysis: a paper manufacturing machine case study by Vladimir Koković, Kosta Pavlović, Andjela Mijanović, Slavko Kovačević, Ivan Mačužić, Vladimir Božović

“…Abstract Manufacturing companies focus on improving productivity, reducing costs, and aligning performance metrics with strategic objectives. In industries like paper manufacturing, minimizing equipment downtime is essential for maintaining high throughput. …”
Get full text

Cognitive Reserve? Cognitive Capacity! by Kenneth R. Paap

“…The CC framework is broader, encompassing factors that either promote or demote cognitive performance by directly modifying brain structure and function. …”
Get full text

Hindcasting Maximum Water Depths in Coastal Watersheds: The Importance of Incorporating Off‐Channel Data and Their Uncertainties in Machine Learning Models by Maryam Pakdehi, Ebrahim Ahmadisharaf

“…We found that ML models trained solely by stream gauges performed well only for stream hindcasts. Satisfactory hindcasts on off‐channel areas were obtained by incorporating the HWMs' uncertainty via the loss function. …”
Get full text

Low-resource MobileBERT for emotion recognition in imbalanced text datasets mitigating challenges with limited resources. by Muhammad Hussain, Caikou Chen, Sami S Albouq, Khlood Shinan, Fatmah Alanazi, Muhammad Waseem Iqbal, M Usman Ashraf

“…This enables more human-like interactions on digital platforms. Our approach shows its potential to deliver competitive performance under limited resource constraints, comparable to large language models.…”
Get full text

Enhancing network lifetime in WSNs through coot algorithm-based energy management model by Namita Shinde, Dr. Vinod H․ Patil

“…This addresses issues such as high energy consumption, communication delays, and security.To ensure energy savings and network reliability, the fitness function evaluates cluster heads and best routes based on constraints.COOT outperforms other Metaheuristics Algorithms like Butterfly Optimization Algorithm, Genetic Algorithm, Tunicate Swarm Gray Wolf Optimization Algorithm, and Bird Swarm Algorithm in simulation with performance measurements and enhancing network functionality and protection.Key methodology points include: • Proposed a multiple constraints clustering and routing technique using COAto solve the most crucial issues that arise in WSNs. • Integrated an advanced fitness function that determines cluster head selection, and the routing path based on residual energy, delay, security, trust, distance, and link quality so that energy load is evenly distributed and credible data flow is maintained across the network and made Innovative and Effective Solution. • Proven Results Demonstrated superior network performance, achieving the lowest delay, highest network lifetime (3571 rounds) and enhanced security (0.8) and trust (0.6) compared to existing algorithms with less energy consumption, making it the most suitable solution for WSN performance improvement.…”
Get full text

TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors by Adonisz Dimitriu, Tamás Vilmos Michaletzky, Viktor Remeli

“…To ensure the generated textures are both effective in deceiving detectors and visually plausible, we introduce the Convolutional Smooth Loss function, a generalized smooth loss function. Experimental evaluations demonstrate that TACO significantly degrades YOLOv8’s detection performance, achieving an AP@0.5 of 0.0099 on unseen test data. …”
Get full text

New bounded unit Weibull model: Applications with quantile regression. by Laxmi Prasad Sapkota, Nirajan Bam, Vijay Kumar

“…While beta and Kumaraswamy distributions are widely used, alternative models often yield better performance, though no clear consensus exists. This paper introduces a new bounded probability distribution based on a transformation of the Weibull distribution, with properties such as moments, entropies, and a quantile function. …”
Get full text

The biological clock keeps ticking, but exercise may turn it back by Andrea Deslandes

“…Aging is an inevitable process that is associated to loss of functional capacities in several body systems, like the cardiovascular, the skeletal muscle mass, the osteoarticular and the neuro-immune-endocrine systems. …”
Get full text