An innovative multivariate method for exploring soliton dynamics in nonlinear models by Muhammad Abdaal Bin Iqbal, Muhammad Zubair Raza, Aziz Khan, D.K. Almutairi, Thabet Abdeljawad

“…Based on the generalized exponential rational function framework, the MGERIF exhibits efficacy in formulating solutions associated with trigonometric, exponential, and hyperbolic functions. …”
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Improv as cognitive activity by Kristin R. Krueger, Jeffrey P. Winer, Daniel C. Lattimore, Todd Beck, Kyle Dennis, Cameron Carswell, Clifton Saper, Mathieu Hainselin

“…BackgroundEngaging in regular cognitive activity has been associated with cognitive function, yet the field of aging research has limited choices of cognitive activity programs to implement in clinical trials. …”
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Development of core outcome set for healthy aging treatment in primary care settings by Soobin Jang, Hyein Jeong, Jungi Park, Mi Mi Ko, Jeeyoun Jung

“…Background: Healthy aging is a global public health priority, with increasing interest in the promotion of functional ability and well-being among older adults. …”
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The efficacy of transcutaneous vagus nerve stimulation in heart failure management - a systematic review and meta-analysis by Zongmei Sun, Lin Liu, Haijun Peng, RunFeng Zhang

“…Non-invasive transcutaneous vagus nerve stimulation (t-VNS) has emerged as a potential therapeutic intervention for improving cardiac function and alleviating clinical symptoms in HF patients by modulating autonomic nervous system equilibrium. …”
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Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples by Min Gu Kwak, Hyungu Kahng, Seoung Bum Kim

“…The results show that SSCL significantly improves classification accuracy, and our proposed loss function further enhances the performance, collectively outperforming existing methods by <inline-formula> <tex-math notation="LaTeX">$2\sim 9$ </tex-math></inline-formula>% across various benchmark datasets. …”
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Enhancing Deep Hashing With GCN-Based Models for Efficient Similarity Search by Sooin Kim, Seonghyun Min, Wongyum Kim, Donghoon Kim, Doosung Hwang

“…Their optimization of the loss function and the non-differentiable sign function can lead to inadequate backpropagation learning, resulting in hash codes that may be challenging for similarity preserving. …”
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Telerehabilitation versus face-to-face physical therapy for middle-aged patients with degenerative meniscal tear in China: a non-inferiority randomized controlled trial by Jiye He, Caiqi Xu, Lihua Huang, Hui Wang, Shengdi Lu

“…Results: Both groups demonstrated significant improvements in knee function and quality of life, with no significant differences in the KOOS, SF-36, or functional tests at any time point (p > 0.05). …”
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Effect of probiotics on prognosis in patients with hepatectomy: a systematic review and meta-analysis of randomized controlled trial by Qinghu Jiang, Hua Zou, Furui Zhong, Jian Ma

“…Conclusions Probiotics used perioperatively can lower postoperative infection risk and shorten hospital stays for hepatectomy patients, but they do not appear to aid in liver function restoration or inflammation reduction. Clinical trial number Not applicable.…”
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Comprehensive multi-omics pan-cancer analysis revealed EGFLAM as a potential prognostic and immune infiltration-associated biomarker by Jian Yang, Wenqian Xu, Shengyu Wang, Zhu Yu, Yue Feng, Da Li, Junqiang Chen

“…Collectively, our multi-omics analyses delineated EGFLAM's oncogenic functions across cancer types, positioning it as both a promising prognostic biomarker and a potential therapeutic target for gastric cancer.…”
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Real-Time Classification of Ochratoxin a Contamination in Grapes Using AI-Enhanced IoT by Mohamed Riad Sebti, Zohra Dakhia, Sonia Carabetta, Rosa Di Sanzo, Mariateresa Russo, Massimo Merenda

“…The robustness of the system was demonstrated through its consistent performance across multiple test sets, providing an effective enhancement to food safety in grape and wine production. …”
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Automated gait analysis indicates efficacy of T-type calcium channel inhibition for mitigation of disrupted calcium signalling in an SCA5 mouse model by Daumante Suminaite, Nurul Fatihah Talib, Sophie Jane Pettegree, Han Chew Gaelan Tan, Yvonne Louise Odey, Emma Margaret Perkins, Alastair Robert Lyndon, Paul Andrew Skehel, Mandy Jackson

“…SCA5 arises from mutations in the β-III spectrin gene (SPTBN2) with mice lacking β-III spectrin function (β-III−/−) mirroring the human clinical phenotype. …”
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A Model of High Latitude Ionospheric Convection Derived From SuperDARN EOF Model Data by M. M. Lam, R. M. Shore, G. Chisham, M. P. Freeman, A. Grocott, M.‐T. Walach, L. Orr

“…The model is developed using a solar cycle's worth (1997–2008 inclusive) of 5‐min resolution Empirical Orthogonal Function (EOF) patterns derived from Super Dual Auroral Radar Network (SuperDARN) line‐of‐sight observations of the convection velocity across the high‐latitude northern hemisphere ionosphere. …”
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SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention by Xiyin Chen, Yonghua Shi, Junjie Pang

“…This function also applies Multi-Granularity Supervision by optimizing segmentation outputs at three different resolution levels, ensuring better feature consistency and improved model robustness across varying image scales. …”
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Subclinical Myocardial Dysfunction in Pediatric and Adolescent Celiac Disease Patients: A Systematic Review and Meta-Analysis by Elpida Emmanouilidou-Fotoulaki, Maria Kavga, Michail Delis, Evangelia Farmaki, Charalampos Agakidis, Kyriaki Papadopoulou-Legbelou

“…<b>Methods:</b> A systematic literature search was conducted across major electronic databases, with data collection extending up to 3 March 2024. …”
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YOLOv7scb: A Small-Target Object Detection Method for Fire Smoke Inspection by Dan Shao, Yu Liu, Guoxing Liu, Ning Wang, Pu Chen, Jiaxun Yu, Guangmin Liang

“…We also replace the conventional complete intersection over union (CIoU) loss function with Focal-CIoU, which reduces the degrees of freedom in the loss function and improves the model’s robustness. …”
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Finnish Retirement and Aging Study: a prospective cohort study by Anna Pulakka, Tuija Leskinen, Jaana Pentti, Jussi Vahtera, Sari Stenholm, Saana Myllyntausta, Kristin Suorsa

“…Purpose The Finnish Retirement and Aging (FIREA) Study was set up to study changes in health behavioural and cardiometabolic risk factors across retirement transition, and to examine the long-term consequences of work and retirement on health and functioning with advancing age.Participants Public sector workers whose estimated statutory retirement date was in 2014–2019 were invited to participate by sending them a questionnaire 18 months prior to their estimated retirement date. …”
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Analyzing Repetitive Narrative Patterns in Samad Behrangi’s Stories by Moharram Rezayati kishekhaleh, Mina Mehr Afarin

“…The high frequency of 777 instances across 260 types in 17 stories suggested that repetition was a core stylistic component of his writing. …”
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Mapping expanded prostate cancer index composite to EQ5D utilities to inform economic evaluations in prostate cancer: Secondary analysis of NRG/RTOG 0415. by Rahul Khairnar, Stephanie L Pugh, Howard M Sandler, W Robert Lee, Ester Villalonga Olives, C Daniel Mullins, Francis B Palumbo, Deborah W Bruner, Fadia T Shaya, Soren M Bentzen, Amit B Shah, Shawn C Malone, Jeff M Michalski, Ian S Dayes, Samantha A Seaward, Michele Albert, Adam D Currey, Thomas M Pisansky, Yuhchyau Chen, Eric M Horwitz, Albert S DeNittis, Felix Y Feng, Mark V Mishra

“…The best model fit was: "EQ5D utility = 0.248541 + 0.000748*(Urinary Function) + 0.001134*(Urinary Bother) + 0.000968*(Hormonal Function) + 0.004404*(Hormonal Bother)- 0.376487*(Zubrod) + 0.003562*(Urinary Function*Zubrod)"; RMSE was 0.10462.…”
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Utilization Patterns and Optimization Suggestions for Wildlife Passages in Xinjiang Nature Reserves by Mengdi Fu, Jun Wang, Shuang Li, Le Qin, Junsheng Li, Shichao Jin

“…This study surveyed and monitored wildlife passages across eight nature reserves in Xinjiang, evaluating their construction status, utilization patterns, and key factors influencing utilization rates, as well as providing optimization recommendations. …”
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Global Admittance: A New Modeling Approach to Dynamic Performance Analysis of Dynamic Vibration Absorbers by Cuauhtémoc Mazón-Valadez, Eduardo Barredo, Jorge Colín-Ocampo, Javier A. Pérez-Molina, Demetrio Pérez-Vigueras, Ernesto E. Mazón-Valadez, Agustín Barrera-Sánchez

“…The model was validated using different classical DVA configurations, demonstrating total accuracy in its applicability across designs concerning conventional modeling. Our most remarkable finding was that the dimensionless function, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>γ</mi></mrow><mrow><mi>g</mi></mrow></msub><mfenced separators="|"><mrow><mi mathvariant="sans-serif">Ω</mi></mrow></mfenced></mrow></semantics></math></inline-formula>, resulting from the global admittance, partially decouples the dynamics of the DVAs from the primary structure, facilitating the implementation of passive vibration control strategies in more realistic structural models. …”
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