Personalized Mobile App–Based Program for Preparation and Recovery After Radical Prostatectomy: Initial Evidence for Improved Outcomes From a Prospective Nonrandomized Study by Alberto Martini, Claudia Kesch, Alae Touzani, Giorgio Calleris, Bogdan Buhas, Rawad Abou-Zahr, Razvan-George Rahota, Benjamin Pradère, Christophe Tollon, Jean-Baptiste Beauval, Guillaume Ploussard

“…ObjectiveWe aimed to assess the impact of an optimized perioperative program using a personalized mobile app designed for preparation and recovery after radical prostatectomy (RP). …”
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Super-resolution reconstruction of mine image based on generative adversarial network by Fan ZHANG, Ying LIU, Hui SONG, Jiarong ZHANG, Haixing CHENG

“…Secondly, the Wasserstein distance is used to improve the loss function, and the Sigmoid of the output layer of the discriminator is removed. …”
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Rice Canopy Disease and Pest Identification Based on Improved YOLOv5 and UAV Images by Gaoyuan Zhao, Yubin Lan, Yali Zhang, Jizhong Deng

“…By incorporating deep separable convolutions, the MixConv module, attention mechanisms, and optimized loss functions into the YOLOv5 backbone, the model’s speed, feature extraction capability, and robustness are significantly enhanced. …”
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Photobiomodulation reduces hippocampal apoptotic cell death and produces a Raman spectroscopic "signature". by David J Davies, Mohammed Hadis, Valentina Di Pietro, Giuseppe Lazzarino, Mario Forcione, Georgia Harris, Andrew R Stevens, Wai Cheong Soon, Pola Goldberg Oppenheimer, Michael Milward, Antonio Belli, William M Palin

“…Apoptotic cell death within the brain represents a significant contributing factor to impaired post-traumatic tissue function and poor clinical outcome after traumatic brain injury. …”
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Class Imbalance in the Automatic Interpretation of Remote Sensing Images: A Review by Pengdi Chen, Yuanrui Ren, Baoan Zhang, Yuan Zhao

“…The solution to the proposed problem involves three aspects: model innovation and optimization, loss function improvement, and data augmentation. …”
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Prediction of Daily Entrance and Exit Passenger Flow of Rail Transit Stations by Deep Learning Method by Huaizhong Zhu, Xiaoguang Yang, Yizhe Wang

“…Furthermore, based on the history data of passenger flow of rail transit stations and relevant influence factors, it applies the deep learning method to choose the relatively optimal hidden layer node by means of the cut-and-try method, set up input data and labeled data, select the activation function and loss function, and use the Adam Gradient Descent Optimization Algorithm for iterative global convergence. …”
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FORECASTING EGG PRICES WITH CONVOLUTIONAL LONG SHORT-TERM MEMORY IN INDONESIA’S HIGH STUNTING PREVALENCE PROVINCE by Sinta Septi Pangastuti, Muhammad Restu Agam, Ananda Hilmi Santika, Juzma Fawwaza Rosadi

“…The Convolutional LSTM components are Adam optimizer, ReLU activation function, Huber loss function, with batch size and neurons of 32. …”
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Quad-Mode H-Beam Metasurface-Embedded Dual-Band Circularly-Polarized Multi-Tiered Antenna Scheme With 5G (n79) and Wi-Fi 6E Capabilities by N. Supreeyatitikul, P. Chomtong, J. Konpang, P. Thitimahatthanakusol, P. Akkaraekthalin

“…Characteristic mode analysis (CMA) is employed to optimize the circular polarization of the MTS structure. …”
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CURRENT TRENDS IN BONE AUGMENTATION DURING DENTAL IMPLANTATION IN PATIENTS WITH PARODONTAL PATHOLOGY AND JAW BONE ATROPHY (LITERATURE REVIEW) by Yu.O. Kinash, L.V. Kinash

“…Thus, women have changes in bone architecture and less dense arrangement of trabeculae in the jawbones than men [15].Bone tissue has a distinguishing feature – loss of multiple teeth or parodontal diseases lead to a redistribution of functional load, which causes its resorption [7;20]. …”
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ST-YOLOv8: Small-Target Ship Detection in SAR Images Targeting Specific Marine Environments by Fei Gao, Yang Tian, Yongliang Wu, Yunxia Zhang

“…Additionally, we replace the Complete Intersection over Union (C-IoU) loss function with the Wise Intersection over Union (W-IoU) loss function, which enhances bounding box precision. …”
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Residual channel attention based sample adaptation few-shot learning for hyperspectral image classification by Yuefeng Zhao, Jingqi Sun, Nannan Hu, Chengmin Zai, Yanwei Han

“…Besides, we design a joint loss function with combining the FSL loss and domain adaptive loss for further optimization model. …”
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MFN: Multi-Scale Frequency Feature Fusion Network for Multi-Classification Image Segmentation by Ji Xiao, Li Jianfang, Zhao Peng, Li Xiaochen, Zhang Chengchun, Zheng Junyi, Pang Yonghui, Huang Xiangsheng

“…During the feature fusion stage, the FreqFusion module adaptively smooths high-level features to address class inconsistency and boundary misalignment effectively. And a combined loss function, integrating cross-entropy loss and the Dice coefficient, is designed to improve model training and achieve optimal segmentation performance. …”
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Smart Deployable Scissor Lift Brace to Mitigate Earthquake Risks of Soft-Story Buildings by Vijayalaxmi Rangrej, Ricky W. K. Chan

“…The smart deployable system functions by instantly activating upon receiving EEW signals. …”
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Unequal Genetic Redundancies Among MYC bHLH Transcription Factors Underlie Seedling Photomorphogenesis in Arabidopsis by Vikas Garhwal, Sreya Das, Sreeramaiah N. Gangappa

“…Intriguingly, the loss of MYC2 function in the myc3myc4 double mutant background (myc2myc3myc4) resulted in further enhancement in the hypocotyl growth than myc3myc4 double mutants in WL, BL and FRL, suggesting that MYC2/3/4 together play an essential and positive role in meditating optimal seedling photomorphogenesis. …”
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Structural Similarity-Guided Siamese U-Net Model for Detecting Changes in Snow Water Equivalent by Karim Malik, Colin Robertson

“…The similarity values from the SSIM index are passed to a contrastive loss function, where the optimization process maximizes SSIM index values for pairs of similar SWE images and minimizes the values for pairs of dissimilar SWE images. …”
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CSNet: A Remote Sensing Image Semantic Segmentation Network Based on Coordinate Attention and Skip Connections by Jiahao Li, Hongguo Zhang, Liang Chen, Binbin He, Huaixin Chen

“…Additionally, a hybrid loss function combining weighted cross-entropy and Dice loss is employed. …”
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A novel configuration of reconfigurable bandpass filter based on varactor diodes by Mohamed Guermal, Jamal Zbitou, Mostafa Hefnawi, Fouad Aytouna

“…The physical configuration of the circuit was carefully optimized, resulting in overall dimensions of 61.1358 mm in length and 48.233 mm in width. …”
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Near‐Freezing‐Temperature Golgi Neuronal Staining for X‐ray Imaging of Human Brain by Feng Zhou, Qiaowei Tang, Xin Yan, Chao Ma, Yu Zhang, Jichao Zhang, Qian Li, Lihua Wang, Jun Hu, Xiaoqing Cai, Jiang Li, Ying Zhu, Chunhai Fan

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Perennial flower strips in agricultural landscapes strongly promote earthworm populations by Anna Vaupel, Zita Bednar-Konski, Matías Olivera, Nadine Herwig, Bernd Hommel, Lukas Beule

“…We expect that the promotion of earthworms through flower strips improves soil functions and benefits higher trophic taxa. We propose that optimized seed mixtures, improved spatial configuration, and establishment of temporal continuity of flower strips can further promote soil ecosystem services.…”
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Multi‐objective and multi‐stage low‐carbon planning of park integrated energy system considering random outages from superior power grid by Xunpu Jiang, Zhejing Bao, Jianwei Chen, Miao Yu

“…Then, the fuzzy membership function is used to determine the optimal compromise solution, resulting in a planning scheme that balances economic efficiency and supply reliability. …”
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