Mitochondrial Dysfunction: The Silent Catalyst of Kidney Disease Progression by Nikola Pavlović, Marinela Križanac, Marko Kumrić, Katarina Vukojević, Joško Božić

“…Future research should address the gaps in understanding the role of mitophagy in CAKUT and optimize targeted delivery systems for precision therapies.…”
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DMFFNet: Dual-Mode Multiscale Feature Fusion-Based Pedestrian Detection Method by Ruizhe Hu, Ting Rui, Yan Ouyang, Jinkang Wang, Qunyan Jiang, Yinan Du

“…Second, we deeply fuse the multi-scale features output by the MFA with the double deep feature fusion (DDFF) module to enhance the semantic and geometric information of the target. Finally, we optimize the loss function to reflect the distance between the predicted box and the real box more realistically as well as to enhance the ability of the network toward predicting difficult samples. …”
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A lightweight personnel detection method for underground coal mines by Shuai WANG, Wei YANG, Yuxiang LI, Jiaqi WU, Wei YANG

“…Introduce SIoU instead of the original loss function to accelerate model convergence. Finally, the introduction of the Ghost module to optimize the backbone network can reduce the computational and parametric quantities of the model without losing the model performance, improve the detection speed, and make the model easier to be deployed on resource-constrained devices. …”
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SCL-YOLOv11: A Lightweight Object Detection Network for Low-Illumination Environments by Shulong Zhuo, Hao Bai, Lifeng Jiang, Xiaojian Zhou, Xu Duan, Yiqun Ma, Zihan Zhou

“…Meanwhile, the Minimum Point Distance based IoU(MPDIoU) loss function is adopted to mitigate gradient explosion risks while enhancing detection precision. …”
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Acute Care Practice in the United States: The Roles of Occupational Therapy and Physical Therapy in Early Rehabilitation by Suzanne E. Holm, Kelly Nelson, Angela Patterson

“…The goals of OT and PT in an accelerated and fast-past hospital environment are to facilitate a patient's functional performance and outcomes to improve function recovery and to prevent further disability and loss of function. …”
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Advantages and disadvantages of high power ultrasound application in the dairy industry by Mislav Muža, Verica Batur, Marija Badanjak, Zoran Herceg, Vesna Lelas, Anet Režek Jambrak

“…Controled and optimized application of ultrasound demands application of specific ultrasound frequency and optimal treatment time. …”
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Cure the Incurable: Update of Treatment in Inherited Neuromuscular Disorders by Cheng-Hao Yu, Kuan-Lin Lai

“…Approaches aiming to rescue the underlying pathophysiology, i.e. loss-of-function or gain-of-function mutations, have been developed via end-product replacement or gene delivery/modulation, with promising results. …”
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RAT-CC: A Recurrent Autoencoder for Time-Series Compression and Classification by Giacomo Chiarot, Sebastiano Vascon, Claudio Silvestri, Idoia Ochoa

“…RAT-CC leverages a Long Short-Term Memory (LSTM) recurrent autoencoder with a dual-loss function: the standard reconstruction loss to minimize reconstruction error; and an embedding loss to preserve relative distances in the compressed embedding space. …”
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A Planning Method for Charging Station Based on Long-Term Charging Load Forecasting of Electric Vehicles by Boyu Xiang, Zhengyang Zhou, Shukun Gao, Guoping Lei, Zefu Tan

“…Then, the cost of profit loss—which represents the EVCS utilization rate—is incorporated into the construction of the objective function. …”
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Domain generalization for image classification based on simplified self ensemble learning. by Zhenkai Qin, Xinlu Guo, Jun Li, Yue Chen

“…Specifically, we frame the problem as an optimization process with the objective of minimizing a weighted loss function that balances cross-domain discrepancies and sample complexity. …”
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Adaptive electricity consumption forecasting approach for universal environments by Shiqi Zhou, Saisai Ni, Yifeng Han, Zhekang Dong, Chun Sing Lai

“…The method includes a nonmonotonic correlation elimination-based recursive feature selection that adaptively determines the optimal feature combination. Our model incorporates a joint loss function combining point and probability forecasting evaluations to accurately quantify online batch errors. …”
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Analyzing the impact of asymmetric shocks on the interaction strategies between the monetary authorities of two countries by Леонид Серков

“…The authors analyze the equilibrium states of the examined interaction strategies between the monetary authorities with an analytical method by minimizing the loss function and solving sequential statistical problems of optimization. …”
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Grab Bar Grasp Location During Bathtub Exit and Sit-to-Stand Transfers: Biomechanical Evaluation by Iris C Levine, Konika Nirmalanathan, Roger E Montgomery, Alison C Novak

“… Abstract BackgroundGrab bars are a multi-function bathing tool. While grab bars are commonly recommended by rehabilitation professionals, existing literature regarding optimal grab bar locations is focused on preference rather than function. …”
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A comparative study of perioperative outcomes in open radical cystectomy, laparoscopic radical cystectomy, and robotic-assisted radical cystectomy by Vishal Narkhede, Siddhant Bolar, Deepanshu Aggarwal, Rudra Prasad Ghorai, Sidhartha Kalra, Lalgudi Narayanan Dorairajan, Sreerag Kodakkattil Sreenivasan

“…Postoperative parameters including operative time, blood loss, return of bowel function, complications, and survival rates were analyzed. …”
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Theoretical study of the possibility of glycin with thiotriazoline complexes formation by L. I. Kucherenko, O. V. Khromyleva, I. A. Mazur, S. V. Shishkina

“…The calculations were carried out using the MOPAC2012 program. The complexes were optimized using the density functional method with the empirical dispersion correction B97-D3/SVP+COSMO (Water) using geometric correction for the incompleteness of the gCP basic set. …”
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CCT: A Cyclic Co-Teaching Approach to Train Deep Neural Networks With Noisy Labels by Jorge K. S. Kamassury, Henrique Pickler, Filipe R. Cordeiro, Danilo Silva

“…Strategies from the LNL literature to address this typically include the use of disagreement techniques and alternative loss functions. In this paper, we propose the Cyclic Co-Teaching (CCT) method, which employs cyclic variations in the learning rate and sample retention rate at the mini-batch level, along with a checkpoint mechanism that ensures that training in subsequent cycles always resumes from the best models obtained so far. …”
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A high-precision segmentation method based on UNet for disc cutter holder of shield machine by Dandan Peng, Guoli Zhu, Zhe Xie

“…Ablation studies further reveal optimal performance when utilizing a hybrid loss function (dice loss + cross-entropy loss) paired with the Adam optimizer. …”
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Seismic Retrofitting of RC Buildings Using a Performance-Based Approach for Risk Resilience and Vulnerability Assessment by Hafiz Asfandyar Ahmed, Waqas Arshad Tanoli

“…Four retrofitting alternatives are proposed to identify the optimal choice that effectively meets all desired functions.…”
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Task-Driven Real-World Super-Resolution of Document Scans by Maciej Zyrek, Tomasz Tarasiewicz, Jakub Sadel, Aleksandra Krzywon, Michal Kawulok

“…We propose to incorporate auxiliary loss functions derived from high-level vision tasks, including text detection using the connectionist text proposal network (CTPN), text recognition via a convolutional recurrent neural network (CRNN), keypoints localization using Key.Net, and hue consistency. …”
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An Adaptive Weight Physics-Informed Neural Network for Vortex-Induced Vibration Problems by Ping Zhu, Zhonglin Liu, Ziqing Xu, Junxue Lv

“…Nevertheless, PINN loss functions often include multiple loss terms, which may interact with each other, causing imbalanced training speeds and a potentially inferior overall performance. …”
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