Personalised app-based relapse prevention of depressive and anxiety disorders in remitted adolescents and young adults: a protocol of the StayFine RCT by Claudi Bockting, Suzanne J Robberegt, Bas E A M Kooiman, Casper J Albers, Yvonne Stikkelbroek

“…Secondary outcomes are symptoms of depression and anxiety, number and duration of relapses, global functioning, and quality of life. Mediators and moderators will be explored. …”
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Research on Binary Mixed VOCs Gas Identification Method Based on Multi-Task Learning by Haixia Mei, Ruiming Yang, Jingyi Peng, Keyu Meng, Tao Wang, Lijie Wang

“…To further balance the tasks, a dynamic weighted loss function is incorporated to adjust weights dynamically according to the training progress of each task, thereby enhancing the overall performance of the model. …”
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Gaitformer: a spatial-temporal attention-enhanced network without softmax for Parkinson’s disease early detection by Shupei Jiao, Hua Huo, Wei Liu, Changwei Zhao, Lan Ma, Jinxuan Wang, Ningya Xu, Chen Zhang, Dongfang Li

“…By analyzing parameters such as pressure distribution, gait cycles, and gait features of the foot sole, we aim to evaluate an individual’s gait function and detect and diagnose gait-related diseases such as Parkinson’s disease. …”
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Advanced Object Detection in Low-Light Conditions: Enhancements to YOLOv7 Framework by Dewei Zhao, Faming Shao, Sheng Zhang, Li Yang, Heng Zhang, Shaodong Liu, Qiang Liu

“…Convolutional attention and deformable convolutional modules are added to extract rich semantic information. …”
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A statistical analysis method for probability distributions in Erdös–Rényi random networks with preferential cutting–rewiring operation by Yu Qian, Jiahui Cao, Jing Han, Siyi Zhang, Wentao Chen, Zhao Lei, Xiaohua Cui, Zhigang Zheng, Zhigang Zheng, Zhigang Zheng

“…Modeling the global information integration among the separated functionalized modules in structural and functional brain networks is a central problem. …”
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PEMBELAJARAN DAN APLIKASI MAKNA INTERPERSONAL: TRANSAKSIONAL: PROPOSAL SEBAGAI PEMAHAMAN AKTIVITAS BERBAHASA STAF HOUSEKEEPING DAN FOOD AND BEVERAGE SERVICE DALAM MENGHADAPI PERMI... by Vilya Lakstian Catra Mulia

“…The learning was done by using systemic functional linguistics approach, through modulated interrogative and inclination clauses, to reach the goal. …”
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Stock portfolio optimization using hill climbing and simple human learning optimization algorithms as a decision support system by Suyash S. Satpute, Amol C. Adamuthe, Pooja Bagane

“…We conclude that optimized portfolios with varying constraints, >80 % of the time, outperform US market indices.Key contributions include: • Developed a decision support system using intrinsic value and financial health analysis. • Novel fitness function for optimization using hill climbing and SHLO. • Integrated module outputs with hill climbing and SHLO for portfolio optimization.…”
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Joint Optimization in Underwater Image Enhancement: A Training Framework Integrating Pixel-Level and Physical-Channel Techniques by Ozan Demir, Metin Aktas, Ender M. Eksioglu

“…We also propose to use the joint loss function for both Image-to-Image Module and Physics-Informed Module to enforce the joint optimization for better underwater image enhancement performance. …”
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Joint Spectral Information and Spatial Details for Road Extraction From Optical Remote-Sensing Images by Yuzhun Lin, Jie Rui, Fei Jin, Shuxiang Wang, Xibing Zuo, Xiao Liu

“…However, translating advantageous information into a deciphering function in road-extraction tasks remains a challenge. …”
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An Improved DeepSORT-Based Model for Multi-Target Tracking of Underwater Fish by Shengnan Liu, Jiapeng Zhang, Haojun Zheng, Cheng Qian, Shijing Liu

“…This study proposes an underwater fish object tracking method based on the improved DeepSORT algorithm, utilizing ResNet as the backbone network, embedding Deformable Convolutional Networks v2 to enhance adaptive receptive field capabilities, introducing Triplet Loss function to improve discrimination ability among similar fish, and integrating Convolutional Block Attention Module to enhance key feature learning. …”
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Performance validation of global MPPT for efficient power extraction through PV system under complex partial shading effects by Muhammad Abu Bakar Siddique, Dongya Zhao, Khmaies Ouahada, Ateeq Ur Rehman, Habib Hamam

“…This study developed an adapted perturb and observe based model predictive control (APO-MPC) maximum power point tracking (MPPT) approach in MATLAB/Simulink, comprising six series-connected PV modules, a boost converter, and load. The control strategy identifies GMPP and computes reference current to minimize the cost function of an optimization problem. …”
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Relation of Muscles Coordination to the Major Degrees of Freedom in Three Upper Limb Motions by Morteza Farrokhnia, Seyyed Arash Haghpanah, Esmaeal Ghavanloo, Mohammad Taghi Karimi

“…The development of musculoskeletal models aims to facilitate the evaluation of muscle function and coordination during daily activities. …”
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A YOLOv8n-T and ByteTrack-Based Dual-Area Tracking and Counting Method for Cucumber Flowers by Liyang Su, Shujuan Zhang, Hongtu Zhang, Xiangsen Meng, Xiongkui He

“…The YOLOv8n-T incorporates a Coordinate Attention (CA) mechanism and lightweight modules while optimizing the loss function, thereby improving floral feature extraction capabilities and reducing computational complexity. …”
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DAF-UNet: Deformable U-Net with Atrous-Convolution Feature Pyramid for Retinal Vessel Segmentation by Yongchao Duan, Rui Yang, Ming Zhao, Mingrui Qi, Sheng-Lung Peng

“…Furthermore, we propose a hybrid loss function that combines pixel-level and segment-level losses to robustly address the segmentation inconsistencies caused by the disparity in vessel thickness. …”
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3L-YOLO: A Lightweight Low-Light Object Detection Algorithm by Zhenqi Han, Zhen Yue, Lizhuang Liu

“…Finally, we replace the original loss function with MPDIoU loss, improving bounding box regression and overall reliability. …”
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Crack Detection Method of Sleeper Based on Cascade Convolutional Neural Network by Liming Li, Shubin Zheng, Chenxi Wang, Shuguang Zhao, Xiaodong Chai, Lele Peng, Qianqian Tong, Ji Wang

“…The accuracy of the crack identification model is improved by using a mixed loss function of binary cross-entropy (BCE), structural similarity index measure (SSIM), and intersection over union (IOU). …”
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Improved throughput of Elliptic Curve Digital Signature Algorithm (ECDSA) processor implementation over Koblitz curve k-163 on Field Programmable Gate Array (FPGA) by Firas Ghanim Tawfeeq, Alaa M. Abdul-Hadi

“…It also includes the design and implementation of the Universal Asynchronous Receiver Transmitter (UART) module. The present work is based on a 163-bit key-size over Koblitz curve k-163 and secure hash function SHA-1. …”
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Multimodal Data Fusion Framework for Early Prediction of Autism Spectrum Disorder by Mohemmed Sha, Hussein Al-Dossary, Mohamudha Parveen Rahamathulla

“…In conclusion, the AlexNet CNN has been proposed for prediction and its performance was assessed using the multiactivation function (MAF) framework. In this study, we examined the dataset for screening ASD and the dataset for children with autism. …”
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Multi-Site Air Quality Index Forecasting Based on Spatiotemporal Distribution and PatchTST-Enhanced: Evidence From Hebei Province in China by Wenyi Cao, Rufei Zhang, Wenxin Cao

“…The PatchTST-Enhanced outperforms the PatchTST and improves it through four optimization modules: CGAttention, SiLU activation, AdamW optimizer, and SmoothL1 Loss function. …”
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SVEA: an accurate model for structural variation detection using multi-channel image encoding and enhanced AlexNet architecture by Taixing Qiu, Jiawei Li, Yan Guo, Limin Jiang, Jijun Tang

“…Abstract Background Structural variations (SVs) are a pervasive and impactful class of genetic variation within the genome, significantly influencing gene function, impacting human health, and contributing to disease. …”
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