A decision making algorithm for inherited retinal dystrophies, caused by biallelic mutations in the RPE65 gene, in the clinical practice of an ophthalmologist by E. I. Saidasheva, V. V. Kadyshev, V. V. Brzheskiy, N. A. Malinovskaya, K. K. Shefer

“…Petersburg, whose task is to optimize the quality of diagnosing patients with IRP and LCA.…”
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A Cost-Sensitive Small Vessel Detection Method for Maritime Remote Sensing Imagery by Zhuhua Hu, Wei Wu, Ziqi Yang, Yaochi Zhao, Lewei Xu, Lingkai Kong, Yunpei Chen, Lihang Chen, Gaosheng Liu

“…Ablation studies reveal that detection performance is optimal when the weight assigned to the NWD metric in the model’s loss function matches the overall proportion of small objects in the dataset. …”
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Efficacy analysis of minimally invasive treatment for scapular coracoid fractures assisted by TiRobot ForcePro Superior by Tan Zhiyun, Tan Zhiyun, Dai Yonghong, Li Qingyu, Zeng Yanhui, Zeng Yanhui, Yang Kuangyang, Yang Kuangyang, Chen Xing, Chen Xing

“…No statistically significant differences were observed between the two groups in terms of operative time, hospital stay, screw placement accuracy, incidence of postoperative complications, or fracture healing time.ConclusionCompared with freehand screw implantation, minimally invasive treatment for scapular coracoid fractures assisted by TFS significantly reduced intraoperative blood loss, shortened incision length, alleviated pain, and better promoted the recovery of shoulder joint function.…”
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The Life Mission Theory II. The Structure of the Life Purpose and the Ego by Soren Ventegodt, Niels Jorgen Andersen, Joav Merrick

“…This talent displacement may be expressed as a loss of our true nature or true self. The new purpose in life now functions as the core of a new personality: the ego. …”
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Crack-ConvT Net: A Convolutional Transformer Network for Crack Segmentation in Underwater Dams by Pengfei Shi, Hongzhu Chen, Zaiming Geng, Xinnan Fan, Yuanxue Xin

“…Secondly, to address the limitations of traditional skip connections in crack segmentation under complex environments, an Adaptive Feature Fusion Module is designed to optimize the interaction and integration of multi-level features. …”
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Algorithm for finding subcritical paths on network diagrams by M. A. Аnfyorov

“…Network diagrams are used as an information support element in planning and project management processes for structuring planned work and calculating project efficiency characteristics. In order to optimize and balance resources used in projects, it becomes necessary to locate in these models not only the critical path of the maximum weighted length, but also the subcritical paths closest to it having a shorter length in relation to it. …”
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Comparative studies of Taguchi dynamic analysis, statistical, and artificial neural networks for low-carbon steel corrosion inhibition in acidic media by Aprael S. Yaro, Anees A. Khadom, Saeed Rajab Yassen

“…The aim of the present work is to optimize the corrosion inhibition process of low-carbon steel in 2.5 M phosphoric acid at different temperatures and inhibitor concentrations. …”
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Insulin regulates lymphatic endothelial integrity via palmitoylation by Silvia Gonzalez-Nieves, Xiaochao Wei, Simon Guignard, Thi Nguyen, Jay McQuillan, Qiang Zhang, Jinsong Zhang, Reagan M. McGuffee, David A. Ford, Clay F. Semenkovich, Vincenza Cifarelli

“…Altered lipid metabolism is associated with loss of lymphatic vessel integrity, which compromises organ function, protective immunity, and metabolic health. …”
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Enhanced high-sensitivity multi-layer neutron detector based on LiF:ZnS(Ag) scintillator by Ilan Cohen Zada, Alon Osovizky, Itzhak Orion

“…This optimized configuration is then replicated to form the multi-layer detector. …”
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A Rotation Target Detection Network Based on Multi-Kernel Interaction and Hierarchical Expansion by Qi Wang, Guanghu Xu, Donglin Jing

“…Additionally, the Midpoint Offset Loss Function is employed to mitigate the impact of gradual scale changes on target direction perception, enabling precise regression for targets across various scales. …”
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Observing the observer (I): meta-bayesian models of learning and decision-making. by Jean Daunizeau, Hanneke E M den Ouden, Matthias Pessiglione, Stefan J Kiebel, Klaas E Stephan, Karl J Friston

“…By assuming that subjects make optimal decisions on the basis of updated (posterior) beliefs and utility (loss) functions, one can evaluate the likelihood of observed behaviour. …”
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Lightweight deep learning system for automated bone age assessment in Chinese children: enhancing clinical efficiency and diagnostic accuracy by Pang Hai, Zhang Bin, Liu Kesheng, Li Cong, Xu Fei

“…The second stage employs a modified EfficientNetB3 architecture for fine-grained epiphyseal grade classification, enhanced by the Rectified Adam (RAdam) optimizer and a composite loss function combining center loss and weighted cross-entropy to mitigate class imbalance. …”
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An Improved Crop Disease Identification Method Based on Lightweight Convolutional Neural Network by Tingzhong Wang, Honghao Xu, Yudong Hai, Yutian Cui, Ziyuan Chen

“…In order to improve the training learning rate, Adam optimizer combining momentum algorithm and RMSprop algorithm is used to dynamically adjust the learning rate; the combination of the two algorithms makes the loss function converge to the lowest point faster. …”
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Clinical analysis of different intestinal reconstruction methods after primary cytoreductive surgery combined with rectal resection for advanced ovarian cancer by Huimin Wang, Xiaocen Li, Ying Jiang, Jinxin Chen, Rong Cao, Jingru Zhang

“…For patients with good intraoperative and postoperative outcomes, one anastomosis, an anastomosis located above the peritoneal reflection, low PCI or optimal cytoreductive surgery, intestinal anastomosis can be carried out to restore the normal physiological function of the intestine. …”
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Refining the link between obesity and heart failure: insights from GLP-1 receptor agonist trials and studies adopting direct adiposity measures by Nicola Riccardo Pugliese, Francesco Paneni, Domenico Tricò, Alessandra Violet Bacca, Nicolò De Biase, Hermann Dalpiaz, Alessandro Mengozzi, Agostino Virdis, Lorenzo Ghiadoni, Stefano Taddei, Reinhold Kreutz, Konstantinos Tsioufis, Stefano Masi

“…These efforts will be essential in optimizing the benefits of novel weight-loss treatments, ensuring effective and individualized therapeutic strategies for overweight or obese patients with HF. …”
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Integrated TE optical isolator based on magneto-optical perturbation in coupled waveguides by Kimhong Chao, Vy Yam, Laurent Vivien, Béatrice Dagens

“…Abstract Photonic integrated circuits (PICs) increasingly require more advanced integrated functionalities and devices to meet the key application challenges. …”
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A Global-Speed-Region Voltage Angle Control Method Considering Dead-Time Effect Compensation for Permanent Magnet Synchronous Motor Drives by Xiongwei Jiang, Cheng Lin, Jilei Xing, Yao Xu, Yu Tian

“…Meanwhile, the deviation between the actual current operating point and the optimal one is caused by the dead-time effect in the traditional VAC method, causing more energy loss. …”
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A Back-to-Back Gap Waveguide-Based Packaging Structure for E-Band Radio Frequency Front-End by Tao Xiu, Zhi Li, Lei Wang, Peng Lin

“…Notably, the hybrid couplers provide high port isolation, facilitating a higher isolation duplex function by simply connecting high-order bandpass filters at the output ports without the need for additional optimization. …”
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A Deep Reinforcement Learning Approach for Portfolio Management in Non-Short-Selling Market by Ruidan Su, Chun Chi, Shikui Tu, Lei Xu

“…To tackle these problems, we propose a weight control unit (WCU) to effectively manage the position of portfolio management in different market statuses. A loss penalty term is also designed in the reward function to prevent sharp drawdown during trading. …”
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A distributed algorithm for solving large-scale p-median problems using expectation maximization by Harsha Gwalani, Joseph Helsing, Sultanah M. Alshammari, Chetan Tiwari, Armin R. Mikler

“…The fast interchange (FI) heuristic which yields results close to the optimal solution with respect to the objective function value becomes suboptimal with respect to time requirements for large-scale problems. …”
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