Construction and Validation of an Oxidative Phosphorylation Signature in High-Grade Glioma and Potential Inhibitors Screening by Hanwen Lu, Wenpeng Zhao, Bingchang Zhang, Yuanyuan Xie, Jiawei He, Huiying Yang, Zhanxiang Wang

“…Glioma is a devastating type of brain tumor with high morbidity and mortality rates. Despite current treatment options, the prognosis for glioma patients remains poor. …”
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Effective temperature in approximate quantum many-body states by Yu-Qin Chen, Shi-Xin Zhang

“…Our findings reveal a consistent exponential pattern in the energy eigenbasis decomposition contributions of approximate states across different ansatzes, optimization objectives, and quantum systems, characterized by remarkably small decay rates, i.e., high effective temperatures. …”
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Monetary Policy and Financial (In)Stability by Adam Koronowski

“…It is not surprising that it consists of cutting interest rates and bail-out of insolvent, systemically important financial institutions. …”
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Design of a High-Gain, Slotted Ultra-Wideband Antenna with T-shaped slots for Millimeter-Wave Applications by hassan falih

“…Millimeter wave (mmWave) is a crucial frequency range for fifth-generation (5G) mobile communication, characterized by wide bandwidth and higher data rates. Antenna components will be small, wideband, and high-gain for use in 5G systems. …”
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Effect of External Sensory Integration on Motor Functional Disorder In Children With Attention Deficit Hyperactive Disorder (Adhd) - A Pilot Study by Chhavi Kumar Sharma, Shahiduz Zafar

“…Specifically, the experimental group demonstrated a greater decrease in Conner’s Teacher Rating Scale scores (p=0.002) and a significant improvement in GMFM scores (p=0.001). …”
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Electroencephalographic (EEG) analysis of hue perception differences between art and non-art majors: insights from the P2 and P3 components by Liting Song, Guanghui Zhang, Johanna Silvennoinen, Fengyu Cong

“…Participants completed color perception tasks involving cool, warm, and neutral hues while EEG data were recorded with a 65-electrode system. Behavioral ratings and ERP components (P2 and P3) were analyzed, supplemented by decoding analysis to uncover neural processing patterns. …”
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Using confidence, decision time, and confidence entropy to predict accuracy for online and real eyewitnesses by Adele Quigley-McBride, Rachel Leigh Greenspan

“…Confidence was measured in three ways: human-coded verbal statements, AI-classified verbal statements, and numeric ratings. We compared the correspondence between these confidence metrics, how multiple reflector variables relate to accuracy, and whether these patterns differ across two datasets. …”
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Verbal fluency tasks and attention problems in children with ADHD: evidence from fNIRS by Zouji Bian, Xiquan Ma, Yanhan Wang, Xiaodan Yu

“…Associations with the Swanson, Nolan, and Pelham Rating Scale (SNAP-IV) and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) scores were examined.ResultsChildren with ADHD showed significantly lower DLPFC activation and widespread negative patterns compared to neurotypically developed peers (p < 0.05). …”
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Professional success as a criterion for assessing efficiency of football clubs’ intellectual capital management /Professional success as a criterion for assessing efficiency of foo... by H.V. Mysaka, I.A. Derun

“…In response to the latest realities and patterns of economic relations, intellectual capital confidently received the status of the fourth factor of production. …”
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Perceptions of canned wine drinkers in outdoor leisure settings: a vignette study with swiss residents by Nicolas Depetris Chauvin, Antoine Pinède, Heber Rodrigues

“…Our findings reveal that, overall, canned wine drinkers are judged negatively, particularly in the beach resort scenario, where traits like “health consciousness” and “environmental friendliness” are rated lower. Demographic factors, including age, gender, and education, as well as cultural background, significantly influence these judgements. …”
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Word skipping as an indicator of individual reading style during literary reading by Myrthe Faber, Marloes Mak, Roel Willems

“…Word skipping was significantly positively associated with print exposure but not with self-rated attention and story-world absorption, suggesting that more experienced readers are more likely to skip words, and do so in a comparable fashion. …”
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Rethinking the Bebras Challenge in Virtual Reality: Implementation and Usability Study of a Computational Thinking Game by Jelena Nakić, Ivana Rogulj, Lada Maleš

“…The overall usability rating was classified as “good”, suggesting that ThinkLand holds promise as a platform for supporting computational thinking education. …”
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Clinical and epidemiological characteristics of registered childhood tuberculosis cases in the North-Western Region of Russia when introducing a tuberculosis diagnosis complex usin... by I. F. Dovgalyuk, N. V. Korneva, A. A. Starshinova, Yu. E. Ovchinnikova, S. M. Ananyev

“…The findings were compared with registered morbidity rates and changes in the set of performed examinations [introduction of diaskintest (DST) and computed tomography (CT)] in 5 areas of the North-Western Region of the Russian Federation. …”
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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
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Respiratory bacterial and viral pathogen spectrum among influenza-positive and influenza-negative patients by Jing Shi, Shi Han, Yating Zhang, Xiaohua Lu, Yunxia Gan, Narenqimuge Tong, Lu Ma, Hang Zhuan, Ying Dai, Yaqi Ji, Guoming Li, Dan Chen, Lu Yang

“…Influenza-positive patients had higher rates of S. pneumoniae and H. influenzae infections, while influenza-negative patients had higher rates of Human parainfluenza viruses and Human rhinoviruses. …”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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Evaluation of charging frequency for electric vehicles considering drivers’ charging behaviours and high output chargers by Tetsu Yamada, Atsushi Akisawa

“…With the recent global introduction of high-output chargers, such as those rated 350 kW, evaluating their impact on EV charging demand has become increasingly important. …”
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Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels by Zeping Yang, Zhikai Cheng, Da Wu

“…The methodology incorporates quadratic exponential smoothing for outlier mitigation, followed by sequential feature extraction using convolutional neural networks (CNNs) and bidirectional gated recurrent units (GRUs). Comparative experiments demonstrate the model’s superiority over conventional architectures including RNN, LSTM, GRU, and CNN-GRU. …”
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Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
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