The effect of cognitive avoidance on rumination in college students: the chain mediating role of perfectionism and stress by Debao An, Debao An, Jiale Wang, Yeling Xia, Wenlong Xing

“…These findings suggest that cognitive avoidance influences rumination directly and indirectly through perfectionism and stress, offering insights into maladaptive cognitive-emotional patterns in college students.…”
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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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1D-CNN and A Weight-Based Balancing Technique for Improved Detection of Non-Technical Losses in Power Distribution Systems by Rajitroj Nattaya, Seepromting Katsarin, Chatthaworn Rongrit

“…Load profiles were collected from the smart meter database of the Provincial Electricity Authority (PEA) in Khon Kaen, Thailand, covering seasonal variations—winter, summer, and rainy seasons—to ensure comprehensive pattern representation. The weight-based balancing technique leverages real-world insights of abnormal patterns of load profiles to generate synthetic abnormal data with realistic characteristics and proportions. …”
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PhysioDimClassifier—imbalance data classifier model for IoMT-based remote patient monitoring systems by Sayyed Johar, G.R. Manjula

“…By analyzingsequence interruptions, the model improves the retention of imbalanced data patterns, reducing misclassification. Experimental validation demonstrates that PDCM enhances data accuracy by up to 12.61 %, improves imbalance data detection by 13.23 %, increases classification rate by 10.98 %, lowers data imbalance by 11.22 %, and decreases assessment time by 10.5 %. …”
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Expression profiling the temperature-dependent amphibian response to infection by Batrachochytrium dendrobatidis. by Laia Ribas, Ming-Shi Li, Benjamin J Doddington, Jacques Robert, Judith A Seidel, J Simon Kroll, Lyle B Zimmerman, Nicholas C Grassly, Trenton W J Garner, Matthew C Fisher

“…In order to understand how, and when, hosts mount a response to Bd we analysed infection dynamics and patterns of gene expression in the model amphibian species Silurana (Xenopus) tropicalis. …”
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Autonomic correlates of osteopathic manipulative treatment on facial functional mapping: an innovative approach based on thermal imaging by Francesco Cerritelli, David Perpetuini, Jordan Keys, Arcangelo Merla, Daniela Cardone

“…Preliminary studies suggested a parasympathetic effect of OMT, evidenced by heart-rate-variability analysis. A cross-over RCT on healthy adults was conducted to compare OMT with sham therapy. …”
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ON THE HEALTH OF PRESCHOOL CHILDREN OF KRASNODAR REGION RURAL LOCALITY by L. V. BATRAKOVA, P. V. NEFEDOV, I. S. ZACHARCHENKO

“…The results of the study also  showed gender differences in the morbidity patterns of preschool  children, indicating that girls are at risk.…”
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THERMAL IMAGING AND GYMNASTICS INJURIES: A MEANS OF SCREENING AND INJURY IDENTIFICATION by William A. Sands, Jeni R. McNeal, Michael H. Stone

“… Gymnasts have a relatively high injury rate and severity with highly qualified gymnasts suffering the most. …”
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Effect of Sodium Nitroprusside with Plant Growth Regulators on in vitro Propagation and Genetic Stability of ‘Barhee’ Date Palm (Phoenix dactylifera L.) by Al-Mayahi Ahmed Madi Waheed

“…Monomorphic banding patterns obtained in RAPD-PCR and ISSR-PCR in tissue culture-derived and parental plants confirmed genetic stability. …”
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Study on the age and growth characteristics of Sepia esculenta in the East coast of China based on beak microstructure by Bilin Liu, Bilin Liu, Bilin Liu, Bilin Liu, Yuzhe Ou, Minhua Zhou, Hu Zhang, Yueyue Xiao, Kaiwei Zu, Chaowen Zhu, Haisheng Hu

“…The ML-age relationship fitted a linear growth model, while BW-age relationships followed an exponential model for females and a power function model for males. Growth rate analysis showed varied growth trajectories with age, with the highest absolute growth rate (AGR) of ML observed at 120–150 days for females (1.23 mm/d) and at 60–90 days for males (1.93 mm/d). …”
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Enhanced-Dueling Deep Q-Network for Trustworthy Physical Security of Electric Power Substations by Nawaraj Kumar Mahato, Junfeng Yang, Jiaxuan Yang, Gangjun Gong, Jianhong Hao, Jing Sun, Jinlu Liu

“…Empirical evaluation using synthetic data derived from historical incident patterns demonstrates the significant advantages of EDDQN over other standard DQN variations, yielding an average reward of 7.5, a threat prevention success rate of 91.1%, and a notably low false alarm rate of 0.5%. …”
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Flatband nonlinear metasurface for broad-angle photon-pair generation by Yuxin Jiang, Jihua Zhang, Jinyong Ma, Dragomir N. Neshev, Andrey A. Sukhorukov

“…We demonstrate that tailored partially etched patterns in a lithium niobate metasurface can facilitate a flatband across a wide transverse wavevector range (±0.2 rad/μm) around a 1573 nm wavelength. …”
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The Propagation Properties of a Longitudinal Orbital Angular Momentum Multiplexing System in Atmospheric Turbulence by Qinghua Tian, Lei Zhu, Yongjun Wang, Qi Zhang, Bo Liu, Xiangjun Xin

“…A novel multichannel free-space optical (FSO) communication system based on orbital angular momentum (OAM) carried by frozen waves with different longitudinal patterns is studied in this paper. The longitudinal OAM multiplexing (LOAMM) system is simulated under atmospheric turbulence, which is based on the split-step Fourier transform method and includes multiple random phase screens. …”
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Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review by Amith Khandakar, David G. Michelson, Mansura Naznine, Abdus Salam, Md. Nahiduzzaman, Khaled M. Khan, Ponnuthurai Nagaratnam Suganthan, Mohamed Arselene Ayari, Hamid Menouar, Julfikar Haider

“…These sensors capture extensive parameters such as acceleration force, gravitation, rotation rate, magnetic field strength, and vehicle speed, providing a detailed understanding of road conditions and driving behaviors. …”
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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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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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Interface evolution of microdroplets in flow-focusing channels with varying aspect ratios by Luyao He, Bo Wang, Qingquan Liu, Xiaodong Chen

“…Microchannels with aspect ratios of 1, 1/2 and 1/3 are designed, where droplets are generated at the first flow-focusing junction, and three distinct flow patterns – no breakup, single breakup and multiple breakups – are observed at the second flow-focusing junction. …”
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Clinical Characteristics and Survival Analysis of Patients with Supraclavicular Fossa Lymphadenopathy by Yi-Jou Kao, Wan-Lun Hsu, Yong-Chen Chen, Wu-Chia Lo, Ping-Chia Cheng, Li-Jen Liao

“…The malignant nodes were larger and had a greater short-to-long axis ratio, irregular margins, and abnormal vascular patterns (<i>p</i> < 0.01). The 5-year survival rate for patients with malignant SCLNs was 40%. …”
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Short-term solar irradiance forecasting model based on hyper-parameter tuned LSTM via chaotic particle swarm optimization algorithm by V Ashok Gajapati Raju, Janmenjoy Nayak, Pandit Byomakesha Dash, Manohar Mishra

“…The proposed DL architecture leverages the power of LSTM to learn complex temporal patterns in short-wave solar irradiance data. The main objective of the CPSO is to minimize the prediction error through optimizing the LSTM's hyper-parameters such as neurons in hidden layers, learning rate, batch size, dropout rate and activation function. …”
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Wear characteristics of armature surface and its thermal effects under different electromagnetic launch conditions by Luyao Liu, Hongshun Liu, Pengfei Lu, Haoxi Cong, Ali Mohammed Ali Abdo, Li Zhang, Qingquan Li

“…It is urgent to clarify the evolution of armature wear patterns and fundamentally suppressing material damage. …”
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