Assessment of the Symmetry of the Ground Reaction Forces in Patient with ACL Rupture during Vertical Jump by Keyvan Sharifmoradi, Arash Raji

“…There were no significant differences between loading and unloading rates between both side in take-off and landing phases (p<0.05). …”
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Multi-scale spatio-temporal graph neural network for urban traffic flow prediction by Hui Chen, Jian Huang, Yong Lu, Jijie Huang

“…On the four datasets, the average improvement rates of the three prediction accuracy metrics, namely the Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE), reach 17.69%, 15.65%, and 10.30% respectively.…”
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Deep RNA sequencing of pectoralis muscle transcriptomes during late-term embryonic to neonatal development in indigenous Chinese duck breeds. by Chunhong Zhu, Weitao Song, Zhiyun Tao, Hongxiang Liu, Wenjuan Xu, Shuangjie Zhang, Huifang Li

“…A total of 393 differentially expressed genes (DEGs) were identified, which showed higher or lower expression levels at E27 compared with E21 and 5 dph, reflecting the pattern of PM growth rates. Among these, 43 DEGs were common to all three time points in both duck breeds. …”
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Feedback-Driven Dynamical Model for Axonal Extension on Parallel Micropatterns by Kyle Cheng, Udathari Kumarasinghe, Cristian Staii

“…In these environments, axons preferentially align with the pattern direction, form bundles, and advance at constant speed. …”
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Evaluation of effectiveness of transcranial mesodiencephalic modulation within comprehensive treatment of pulmonary tuberculosis patients with various comorbidities by O. A. Serov, O. A. Smolentseva

“…Two months after the start of the study, in Group 1, positive radiological changes were recorded more often – in 91,7% (22/24), in Group 2, positive changes were observed in 62,5% (15/24) of patients (p=0,047; χ2); the same pattern was observed with positive changes of laboratory rates – 91,7% (22/24) versus 66,7% (16/24), (p=0,033; χ2), respectively. …”
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Path to Heritagization in Landscape Architecture: A Review of the Regeneration Design of Beijing Changchunyuan Park by Yufan ZHU

“…This place is a gathering of temples and guild halls and a primary access route to Xuanwu Gate which is the southern gateway to the imperial city. …”
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Identify suitable artificial groundwater recharge zones using hybrid deep learning models by Navaz Khalillollahi, Mohsen Isari, Hamed Faroqi, Kaywan Othman Ahmed, Kamran Nobakht Vakili, Miklas Scholz, Saad Sh. Sammeng

“…This study evaluated four deep learning models for delineating groundwater recharge zones: Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU), and hybrid deep learning Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU). …”
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Evaluating the Clinico-biochemical Association between Stress and Chronic Periodontitis by Estimation of Serum Cortisol and Serum Chromogranin A Levels by Shilpa Duseja, Hiral Akshat Parikh, Sareen Duseja

“…The analysis of stress levels using the Social Readjustment Rating Scale and lifestyle evaluation using the Health Practice Index was done. …”
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Principles for Achieving Legibility in Residential Spaces: A Synthesis of Cognitive and Perceptual Approaches by Slobodan Marković, Đorđe Alfirević, Sanja Simonović Alfirević, Sanja Nikolić

“…The experimental component examines cognitive navigation and subjective perception, assessed via the recognition of a 3D interior from a 2D plan and bipolar rating scales. Participants explored regular and irregular layouts through animated simulations. …”
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Evolution of public broadcasting: TeleJurnal’s viewership trends and strategic implications for business sustainability by Săseanu Ramona, Stanomir Ruxandra, Bădulescu Andreea-Alexandra

“…By employing a time-series autoregressive moving-average model, this article assesses the stationarity and autocorrelation of audience data to evaluate the consistency of ratings amidst external factors such as changes in programming strategy, political events, and market competition. …”
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A GPT-Based Approach for Cyber Threat Assessment by Fahim Sufi

“…Notably, anomaly detection identified six significant deviations during the monitored timeframe, starting from 25 September 2023 to 25 November 2024, with a sensitivity of 75%, revealing critical insights into unusual activity patterns. The fully deployed automated model also identified 11 correlated factors and five unique clusters associated with high-rated cyber incidents. …”
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What Motivates Companies to Take the Decision to Decarbonise? by Stefan M. Buettner, Werner König, Frederick Vierhub-Lorenz, Marina Gilles

“…For instance, long-term cost risks were rated more relevant than reputational gains or regulatory compliance. …”
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Two-choice discrimination learning in African elephants (Loxodonta africana) by Charles Hyatt

“… A study of two-choice discrimination learning across 22 pattern pairs was conducted with three African elephants (Loxodonta africana) at the Atlanta/Fulton County Zoo with rates of acquisition and retention observed to be similar to those earlier reported for the Asian species (Elephas maximus). …”
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Conserved missense variant pathogenicity and correlated phenotypes across paralogous genes by Tobias Brünger, Alina Ivaniuk, Eduardo Pérez-Palma, Ludovica Montanucci, Stacey Cohen, Lacey Smith, Shridhar Parthasarathy, Ingo Helbig, Michael Nothnagel, Patrick May, Dennis Lal

“…For the gene family of voltage-gated sodium channels, where variants and expert-curated clinical phenotypes are available, we also assess whether phenotype patterns of multiple disorders for each gene are conserved across variant positions within the gene family. …”
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An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms by Ahmad Almadhor, Stephen Ojo, Thomas I. Nathaniel, Shtwai Alsubai, Abdullah Alharthi, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study proposes a novel automated technique for diagnosing Schizophrenia based on electroencephalogram (EEG) sensor data, aiming to enhance interpretability and prediction performance.MethodsThis research utilizes Deep Learning (DL) models, including the Deep Neural Network (DNN), Bi-Directional Long Short-Term Memory-Gated Recurrent Unit (BiLSTM- GRU), and BiLSTM with Attention, for the detection of Schizophrenia based on EEG data. …”
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Predicting Financial Distress through Ranking Working Capital Management Components Using Random Forest Algorithm by Pouya Sadeghi, Daryush Farid, Hamid Reza Mirzaei, Abolfazl Dehghani

“…These scores, being close to 1, suggested that the model's estimations were performed with a high degree of accuracy.The analysis of the relative importance of each working capital management component in achieving this 85% accuracy rate revealed some key insights. The Average Collection Period (ACP) was identified as the most important factor in predicting financial distress. …”
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Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors by Youngheon Yun, Dongchan Lee, Soyeon Lee, Salvador Pané, Josep Puigmartí‐Luis, Sungwoo Chun, Bumjin Jang

“…HEATS exhibits a remarkable 20‐fold and 10‐fold improvement at tensile rates of 0.9% and 30%, respectively, compared to non‐auxetic sensors. …”
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Comorbidity health pathways in heart failure patients: A sequences-of-regressions analysis using cross-sectional data from 10,575 patients in the Swedish Heart Failure Registry. by Claire A Lawson, Ivonne Solis-Trapala, Ulf Dahlstrom, Mamas Mamas, Tiny Jaarsma, Umesh T Kadam, Anna Stromberg

“…The following hypotheses were tested: (i) comorbidities are associated with more severe symptoms and functional limitations and subsequently worse patient-rated health in HF, and (ii) these patterns of association differ among selected comorbidities.…”
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A multi-voter multi-commission nearest neighbor classifier by Suyanto Suyanto, Prasti Eko Yunanto, Tenia Wahyuningrum, Siti Khomsah

“…Compared with two single-voter models: KNN and Bonferroni Mean Fuzzy k-Nearest Neighbors (BM-FKNN), the proposed MVMCNN also gives lower mean error rates as well as higher Precision, Recall, and F1 Score, indicating that the multi-voter model provides a better decision than the single-voter ones.…”
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Evaluation of knowledge, attitude, and response regarding transfusion-transmitted infections in blood donors sero-reactive for viral markers during postdonation counselling as an a... by Anju Dubey, Atul Sonker

“…Furthermore, the rates of donors’ response to notification and compliance to clinical referral were assessed to find the areas which require improvement. …”
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