Resting‐State Functional Connectivity of Sensorimotor and Default Mode Networks and Lower Limb Performance in Chronic Stroke: A Cross‐Sectional Study by Svetlana Pundik, Margaret M. Skelly, Jessica P. McCabe, Ahlam I. Salameh, Trenley Anderson, Kelsey Rose Duncan, Terri Hisel, Sarah J. A. Carr

“…Graph theory metrics (global efficiency, clustering coefficient, and betweenness centrality) were related to clinical measures using elastic nets analysis. …”
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Roughness Estimation of Multimode Rectangular Optical Waveguide Based on the Scattering Loss Difference Between SMFW and MMFW Structures by Chuanlu Deng, Tingyun Wang, Jiamin Chen, Chengbo Mou, Xiaobei Zhang, Xinjie Yan, Fufei Pang

“…Compared to the conventional methods, the method has many advantages, such as convenience, high efficiency, and ability for large measurement area.…”
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Association between the American heart association’s life’s essential 8 score and cognitive function: a cross-sectional NHANES study by Jiuyang Sun, Xinyu Tu, Shuwei Wang, Jie Wang, Jingxue Liang, Zhenguo Liu, Lu Song

“…Subgroup analysis and ROC analysis were also conducted to compare the predictive abilities of LE8 on cognitive test score and subjective cognitive performance. …”
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The Dunning‒Kruger effect in resident predicted and actual performance on the American Board of Emergency Medicine in‐training examination by Theodore J. Gaeta, Earl Reisdorff, Melissa Barton, Kim M. Feldhaus, Marianne Gausche‐Hill, Deepi Goyal, Kevin Joldersma, Chadd K. Kraus, Felix Ankel

“…Abstract Objectives The Dunning–Kruger effect (DKE) is a cognitive bias wherein individuals who are unskilled overestimate their abilities, while those who are skilled tend to underestimate their capabilities. …”
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Deep learning multilayer architecture for analysis of three-dimensional Eyring-Powell nanofluid flow subject to viscous dissipation and joule heating by Zahoor Shah, Muflih Alhazmi, Maryam Jawaid, Nafisa A. Albasheir, Mohammed M.A. Alma Zah, Nashwan Adnan Othman, Waqar Azeem Khan

“…Important findings from the performance evaluations, it can be noted that the increase in both the Prandtl number and magnetic field coefficient has led to a decrease in the temperature and velocity profiles. …”
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Investigating causal relationships between entrepreneurial education and sustainable employment generation in Islamic Azad Universities in Tehran by Sana Abdulali, Mohammad Naghi Imani GelepordesariI, Asghar Sharifi

“…The findings of the research showed that according to the values ​​of the standard coefficients and the significant coefficients of T (above 2.58), it can be said that there are direct relationships between the factors. …”
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Convergent laser beam shapes: Unveiling the dynamics of Laser-induced elastic waves in composite materials by Alireza Zarei, Gang Li, Farhang Pourboghrat, Srikanth Pilla

“…This study showcases the ability to direct absorbed laser energy toward a specific wave type through spatial modulation of the laser beam and highlights the role of material anisotropy in energy focusing.…”
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Predicting the Degree of Fresh Tea Leaves Withering Using Image Classification Confidence by Mengjie Wang, Yali Shi, Yaping Li, Hewei Meng, Zezhong Ding, Zhengrui Tian, Chunwang Dong, Zhiwei Chen

“…To enhance the feature extraction ability and classification accuracy of the model, we introduce the Receptive-Field Attention Convolution (RFAConv) and Cross-Stage Feature Fusion Coordinate Attention (C2f_CA) modules. …”
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Unraveling the influence of political marketing on electoral decision-making: A robust analysis with PLS-SEM by Jorge Alberto Vargas-Merino, Cristhina del Pilar Pillaca-Villarruel, Gian Pierre Silvera-Otañe, Gisela Analy Fernández-Hurtado, Luis Miguel Olórtegui-Alcalde, Alfredo Martín Berrospi-Ytahashi

“…Through three questionnaires, the study explores the dimensions of political marketing, the complexities of electoral decision-making and the dynamics of decisional conflict. The B coefficients allowed us to measure the influence of the predictive variables on the dependent variables. …”
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Enhancing dysarthria severity classification: efficient audio based deep learning models by Varsha J Varma, Aniruddha Jana, Arpan Kumar Samal, Aurobindo S, Rani Chinnappa Naidu, Somaya Al-Maadeed, Moutaz Saleh, Rajesh Kumar M, Prakash Ramachandran, Zachariah C Alex, Rajeev Khoodeeram

“…Moreover, this work highlights the ability of proposed deep learning models to offer tailored therapy approaches depending on degree of severity and automates dysarthria diagnosis process.…”
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Regional MRI Perfusion Measures Predict Motor/Executive Function in Patients with Clinically Isolated Syndrome by Efrosini Z. Papadaki, Panagiotis G. Simos, Vasileios C. Mastorodemos, Theodora Panou, Thomas G. Maris, Apostolos H. Karantanas, Andreas Plaitakis

“…Significantly, positive correlation coefficients were found between error rates on the inhibition condition of the visuomotor learning task and CBV values in occipital, periventricular NAWM and both thalami. …”
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Applied Time Series Analyses (2000–2017) of <i>Vibrio vulnificus</i> and <i>Vibrio parahaemolyticus</i> (Pathogenic and Non-Pathogenic Strains) in the Eastern Oyster, <i>Crassostre... by Antonietta Quigg, Aurora Gaona-Hernández, Mona S. Hochman, Sammy M. Ray, John R. Schwarz

“…Concerns about the health consequences of seafood-born human pathogens are ongoing given their occurrence, prevalence, and ability to cause infections, and sometimes death in humans as well as seafood-associated morbidity and mortality worldwide. …”
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Unified constitutive modeling for hot tensile behavior of TC4 alloy with and without diffusion bonding joint by Zhongman Cai, Yong Li, Yanqiang Xu, Jiarui Chen, Xiaoxing Li, Guanglu Ma, Dongsheng Li

“…The constitutive model has been further applied to the finite element method (FEM), and the prediction ability of the deformation behavior and the fracture of the model for hot deformation processes have been verified. …”
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Sustainable development goal 6 monitoring through statistical machine learning – Random Forest method by Murilo de Carvalho Marques, Abdoulaye Aboubacari Mohamed, Paulo Feitosa

“…The Random Forest algorithm demonstrated robust performance, with classification accuracy rates ranging from 83% to 88% and Kappa coefficients between 0.73 and 0.84. These results underscore the method's ability to enhance data granularity and reliability, supporting informed decision-making in ecosystem management. …”
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A novel approach for encryption and decryption of digital imaging and communications using mathematical modelling in internet of medical things by S. Thalapathiraj, J. Arunnehru, V. C. Bharathi, R. Dhanasekar, L. Vijayaraja, R. Kannadasan, Muhammad Faheem, Arfat Ahmad Khan

“…Key performance metrics were carefully measured, including correlation coefficients and entropy values, which ranged from 7.89 to 7.99. …”
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CCD-Rice: a long-term paddy rice distribution dataset in China at 30&thinsp;m resolution by R. Shen, Q. Peng, X. Li, X. Chen, W. Yuan

“…Yet, there are no long-term high-resolution rice distribution maps in China, which hinders our ability to estimate greenhouse gas fluxes and crop production. …”
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The impact of hidden curriculum factors on professional adaptability by Danial Behmanesh, Shahram Jalilian, Akbar Babaei Heydarabadi, Mehrnaz Ahmadi, Nasrin Khajeali

“…The objective was to evaluate how these hidden curriculum elements impact students' ability to adapt professionally. Methods This cross-sectional study involved 882 medical students, with a final sample size determined via Morgan's table, including 216 medical student during clerkship and 216 during internship,selected through census sampling. …”
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Cadmium Removal from Contaminated Water Using Polyelectrolyte-Coated Industrial Waste Fly Ash by Fatai A. Olabemiwo, Bassam S. Tawabini, Faheemuddin Patel, Tajudeen A. Oyehan, Mazen Khaled, Tahar Laoui

“…This study, therefore, investigates the potential ability of raw fly ash (RFA) and polyelectrolyte-coated fly ash (PEFA) to remove cadmium (Cd) from polluted water. …”
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THE ROLE OF DIFFUSE OPTICAL SPECTROSCOPY IN THE DIAGNOSIS OF BREAST CANCER (CASE REPORT) by M. V. Pavlov, S. A. Pegov, A. G. Orlova, G. Yu. Golubyatnikov, L. V. Shkalova, P. A. Malinina, P. I. Rykhtik, I. V. Turchin, A. V. Maslennikova

“…Optical imaging provides the ability to obtain indirect information about oxygenation, blood supply, delivery and consumption of oxygen in the breast tissue, as well as changes in its scattering properties. …”
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Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions by Mohamad Alkhalidi, Abdullah Al-Dabbous, Shoug Al-Dabbous, Dalal Alzaid

“…However, the model consistently underestimates wind variability and extreme wind events, especially at coastal stations, where correlation coefficients dropped to 0.35. Wind direction analysis highlighted ERA5’s ability to replicate dominant northwest wind patterns. …”
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