Criticality is Associated with Future Psychotherapy Response in Patients with Post-Traumatic Stress Disorder—A Pilot Study by Remko van Lutterveld, Myrthe Sterk, Cristian Spitoni, Mitzy Kennis, Sanne J. H. van Rooij, Elbert Geuze

“…Results The brains of prospective treatment responders were closer to criticality than nonresponders (P = 0.017), while no significant interaction effect between group and brain network was observed (P = 0.486). In addition, average criticality across networks correlated with future treatment response (P = 0.028). …”
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From Envelope Spectra to Bearing Remaining Useful Life: An Intelligent Vibration-Based Prediction Model with Quantified Uncertainty by Haobin Wen, Long Zhang, Jyoti K. Sinha

“…A convolutional variational autoencoder for regression (CVAER) is developed to probabilistically predict RUL distributions with confidence measures. Enhanced average envelope spectra (AES) are used as network input for its physical robustness in bearing condition assessment and fault detection. …”
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Highly thermostable and visibly transparent Cu-thin-film planar heaters by Chankyoung Lee, Jaewoo Park, Dooho Choi

“…By employing a dielectric/metal/dielectric configuration with Cu as the metallic layer, ZCS heaters offer a cost-effective alternative to indium tin oxide and Ag-based THs. The optimized ZCS structure, comprising ZnO (20 nm)/Cu (6 nm)/SiO₂ (80 nm), demonstrates exceptional performance, achieving high visible transparency (maximum of 94.8 % and average of 86.3 %), low sheet resistance (∼10 Ω/sq or less), and rapid thermal response. …”
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Research on injection molded parts defect detection algorithm based on multiplicative feature fusion and improved attention mechanism by Rongnan Zhang, Yang Li, Zhiguang Guan

“…This method introduces several key improvements: (1) the MAFHead, a four-detection head based on multiplicative feature fusion, which replaces the original detection head to enhance feature representation; (2) the RepGFPN-SE module, a re-parameterized generalized feature pyramid network that improves detection of small objects by replacing the original C2f. module; (3) and the BiNorma module, employing a bi-level routing attention mechanism to optimize the training process by reducing input distribution changes across layers. …”
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MixLVMM: A Mixture of Lightweight Vision Mamba Model for Enhancing Skin Lesion Segmentation Across High Tone Variability by Mohamed Lamine Allaoui, Mohand Said Allili

“…Our approach employs a Siamese network with triplet loss as a gate mechanism to categorize lesions based on tonal characteristics, routing each image to specialized Vision Mamba Model (VMM) experts optimized for specific lesion categories. …”
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Hybrid SARIMA+BO-LSTM Framework for Forecasting EV Adoption: A Road to Net-Zero in Ireland by Afaq Khattak, Brian Caulfield

“…To support the Climate Action Plan target of registering 945,000 electric vehicles (EVs) by 2030, this study develops a hybrid time series forecasting framework that combines a Seasonal Autoregressive Integrated Moving Average (SARIMA) model with a Bayesian Optimized Long Short-Term Memory (BO-LSTM) network. …”
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DeFiSentinel: AI-Enhanced Decentralized Finance Architecture With Advanced Cryptographic Smart Contracts for Data Integrity and Threat Resilience by Seyed Mani Rahnama

“…The integration of a deep neural network (DNN)–based fraud detection mechanism enhances real-time threat resilience. …”
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Research and application of fiber-reinforced EPS particle lightweight soil in highway engineering in cold regions by Hechao Dou, Bo Xu, Fuxing Li, Yanan Li, Hongbo Liu, Fajin Zu

“…In this mechanism, the closed pore structure formed by EPS particles, the fiber network, and lime cementation products collectively enhances the internal stability of the material. …”
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Explainable Machine Learning and Predictive Statistics for Sustainable Photovoltaic Power Prediction on Areal Meteorological Variables by Sajjad Nematzadeh, Vedat Esen

“…Starting from 27 local and plant-level variables recorded at 15 min resolution for a 1 MW array in Çanakkale region, Türkiye (1 August 2022–3 August 2024), we apply a three-stage feature-selection pipeline: (i) variance filtering, (ii) hierarchical correlation clustering with Ward linkage, and (iii) a meta-heuristic optimizer that maximizes a neural-network R² while penalizing poor or redundant inputs. …”
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ORB-SLAM2 System Enhanced With SiaT-Hough Module on Mars Digital Twin Platform: For Rock Counting and 3D Reconstruction in Martian Environments by Wei Liu, Gang Wan, Jia Liu, Dianwei Cong

“…Experimental results demonstrate that the SiaT-Hough model achieves an average segmentation accuracy of 87.8<sc>6</sc>% and a processing speed of 57.34 FPS on the Mars simulation dataset, striking an optimal balance between accuracy and real-time performance. …”
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Augmented Reality Interactive Guide System and Method for Tourist Attractions Based on Geographic Location by Xueqiu Zhuang, Huihua Jiao, Kai Lu

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Evaluation of Traditional and Data-Driven Algorithms for Energy Disaggregation Under Sampling and Filtering Conditions by Carlos Rodriguez-Navarro, Francisco Portillo, Isabel Robalo, Alfredo Alcayde

“…This study compared the performance of traditional NILM algorithms (Mean, CO, Hart85, FHMM) and deep neural network-based approaches (DAE, RNN, Seq2Point, Seq2Seq, WindowGRU) under various experimental conditions. …”
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A Data-Driven Method for Deriving the Dynamic Characteristics of Marginal Carbon Emissions for Power Systems by Bing Fang, Jiayi Zhang, Shuangyin Chen, Li Li, Shanli Wang, Mingzhe Wen

“…However, the existing research has normally considered the average carbon emissions as the indicator for the operation and planning of power systems. …”
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Advancing precision agriculture: A comparative analysis of YOLOv8 for multi-class weed detection in cotton cultivation by Ameer Tamoor Khan, Signe Marie Jensen, Abdul Rehman Khan

“…The enhanced architecture of YOLOv8, featuring anchor-free detection, an advanced Feature Pyramid Network (FPN), and an optimized loss function, enables accurate detection even under challenging conditions. …”
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Multiple Feature Vectors Based Fault Classification for WSN Integrated Bearing of Rolling Mill by Bo Qin, Luyang Zhang, Heng Yin, Yan Qin

“…First, to collect sufficient data, a data acquisition system based on wireless sensor network is constructed to replace the traditional wired system which may bring dangers during production. …”
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A Deep Learning-Based Algorithm for Ceramic Product Defect Detection by Junxiang Diao, Hua Wei, Yawei Zhou, Zhihua Diao

“…The algorithm designs a lightweight YOLOv10s detector, which reconstructs the backbone network using GhostNet and incorporates an Efficient Channel Attention (ECA) mechanism fused with depthwise separable convolutions, effectively reducing the model’s complexity and computational load. …”
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Encrypted Image Retrieval System based on Features Analysis by Methaq Talib GAATA, Fadya Fouad Hantoosh

“…Although the system proved its efficiency in search performance (with 88% of average precision), security strength, and computational complexity, it does not mean the optimal system is designed, since some weakness points still can be found that are suggested to be improved as a future work.…”
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Drought Stress Grading Model for Apple Rootstock Softwood Cuttings Based on the CU-ICA-Net by Xu Wang, Pengfei Wang, Jianping Li, Hongjie Liu, Xin Yang

“…In order to maintain adequate hydration of apple rootstock softwood cuttings during the initial stage of cutting, a drought stress grading model based on machine vision was designed. This model was optimized based on the U-Net (U-shaped Neural Network), and the petiole morphology of the cuttings was used as the basis for classifying the drought stress levels. …”
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Effects of environmental temperature on growth performance, muscle fiber structure, fatty acid composition, and gene expression in ducks by Ziyi Pan, Congcong Xu, Dongyue Sun, Xingda Yang, Rihong Guo, Zichun Dai, Fang Chen, Zhendan Shi, Shijia Ying

“…Ducks in the T20 group exhibited significantly higher body weight, body weight gain (BWG), average daily gain (ADG), and average daily feed intake (ADFI) at 42-day-old compared to those in the T29 group (P < 0.05). …”
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Comparing and Combining Artificial Intelligence and Spectral/Statistical Approaches for Elevating Prostate Cancer Assessment in a Biparametric MRI: A Pilot Study by Rulon Mayer, Yuan Yuan, Jayaram Udupa, Baris Turkbey, Peter Choyke, Dong Han, Haibo Lin, Charles B. Simone

“…<b>Background:</b> Prostate cancer management optimally requires non-invasive, objective, quantitative, accurate evaluation of prostate tumors. …”
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