Memahami Patofisiologi dan Aspek Klinis Syok Hipovolemik: Update dan Penyegar by Hardisman Hardisman

“…The homeostatic defence mechanism can compensate the cardiovascular function with the blood loss up to 10%. The clinical symptoms appears when the blood loss 15%, such as tachypnoea, tachycardia, weak of pulse, decreasing of mean arterial pressure, skin pale and cold, decreasing refilling capillary and urine production. …”
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International Natural Uranium Price Prediction Based on TF-CNN-BiLSTM Model by YANG Jingzhe, XUE Xiaogang

“…The study meticulously constructed and trained the TF-CNN-BiLSTM model using TensorFlow with the Adam optimizer and mean squared error loss function. The training process was optimized with learning rate reduction and early stopping callbacks to prevent overfitting. …”

TreeGrid: A Spatial Planning Tool Integrating Tree Species Traits for Biodiversity Enhancement in Urban Landscapes by Shrey Rakholia, Reuven Yosef, Neelesh Yadav, Laura Karimloo, Michaela Pleitner, Ritvik Kothari

“…Urbanization, habitat fragmentation, and intensifying urban heat island (UHI) effects accelerate biodiversity loss and diminish ecological resilience in cities, particularly in climate-vulnerable regions. …”
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Stochastic economic placement and sizing of electric vehicles charging station with renewable units and battery bank in smart distribution network by Mehdi Veisi

“…Lower level problem expresses the economic operation of smart grid. Its objective function minimizes the sum of annual operating and energy loss costs in grid, which is constrained by linearized AC optimal power flow equations. …”
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Management of traumatic degloving injury of the dorsal aspect of the midfoot and ankle: A case report by Omar Mourafiq, Abdellatif Benbouha, Hicham Salahi, Omar Mergad

“…This case underscores the importance of early multidisciplinary management, careful therapeutic decision-making, and comprehensive long-term follow-up to optimize recovery in complex traumatic foot and ankle injuries.…”
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Feasibility and Mechanical Strength Evaluation of New Customized Implants for Tibial Plateau Fractures Fixation by Meng Li, Mengmeng Hu, Xiaomeng Ren, Yi Gao, Longbo Du, Yu Jiang, Wei Zhang

“…Follow‐up analysis showed operative times of 1.37 ± 0.58 h, intraoperative blood loss of 260 ± 179.20 mL, and favorable functional outcomes: Lysholm score 88.6 ± 4.93, knee ROM 103.5° ± 11.56°, and EQ‐5D‐3L score 0.87 ± 0.47. …”
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Co-UWSN: Cooperative Energy-Efficient Protocol for Underwater WSNs by S. Ahmed, N. Javaid, F. A. Khan, M. Y. Durrani, A. Ali, A. Shaukat, M. M. Sandhu, Z. A. Khan, U. Qasim

“…Destination and potential relays are selected that utilize distance and signal-to-noise ratio computation of the channel conditions as cost functions. This contributes to sufficient decrease in path losses occurring in the links and transferring of data with much reduced path loss. …”
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Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples by Eda Yilmaz, Hacer Yalim Keles

“…All these complex manipulations are performed using an optimization function with our proposed Exponential Predictive Divergence (EPD) loss function. …”
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Data‐sharing strategies in medical consortium based on master‐slave multichain and federated learning by Bohan Kang, Ning Zhang, Jianming Zhu

“…Meanwhile, by quantifying the utility function and the optimization constraint of participants, this paper designs the cooperative incentive mechanism of medical consortium in multi‐leader Stackelberg game to solve the optimal decision and pricing selection of the master‐slave multichain. …”
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Pricing and Service Decision in a Dual-Channel System Considering Zone of Service Tolerance by Qingren He, Xinru Lei, Ping Wang

“…We incorporate the zone of service tolerance into the demand function of the offline retailer and establish its profit function, a dynamic game theory to demonstrate the existence of a linkage mechanism between the optimal selling price and service level, providing the conditions for such a mechanism to exist. …”
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Challenges in diagnosing and treating ossifying fibroma in adolescent patients - a case report and review of literature by Martín Alberto Sánchez Varela, R. Pablo Romero, R. Sofia Escobar, V. Araceli Chamorro, Constanza Martínez-Cardozo

“…Also, to avoid negative consequences in the people´s quality of life associated with bone and teeth loss. This highlights the importance of radiographic surveillance, analyses, and interdisciplinary collaboration to optimize clinical outcomes in patients with similar conditions.…”
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Tomato-Nerf: Advancing Tomato Model Reconstruction With Improved Neural Radiance Fields by Xiajun Zheng, Xinyi AI, Hao Qin, Jiacheng Rong, Zhiqin Zhang, Yan Yang, Ting Yuan, Wei Li

“…The proposal sampler targets key regions for rendering, and customized loss functions are designed to optimize specific tasks. …”
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Automated orthodontic diagnosis via self-supervised learning and multi-attribute classification using lateral cephalograms by Qiao Chang, Yuxing Bai, Shaofeng Wang, Fan Wang, Shuang Liang, Xianju Xie

“…Additionally, a multi-attribute classification network is proposed, leveraging attribute correlations to optimize parameters and enhance classification performance. …”
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A mixture of Aloe Vera Gel (Aloe vera. L) and Sungkai Leaf Extract (Peronema canescens. Jack) as Edible Coating to Increase Tomato (Solanum lycopersicum) Storage Life by Yefrida Yefrida, Fella Krisna Boneta, Refilda Refilda

“…This research aims to optimize previous methods such the use of plastic packaging and cold storage methods were found to be inefficient and produced waste, so it is necessary to renew them by using the edible coating method, a natural ingredient from Aloe vera. …”
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Biomechanical and clinical evaluation of 3D-printed personalized vertebral implants after total En-Bloc spondylectomy: two-year follow-up outcomes by Viktor G. Aleinikov, Talgat T. Kerimbayev, Yergen N. Kenzhegulov, Daniyar K. Zhamoldin, Zhandos M. Tuigynov, Ermek A. Urunbayev, Nurzhan B. Abishev, Meirzhan S. Oshayev, Dinara M. Baiskhanova, Makar P. Solodovnikov, Serik K. Akshulakov, Diana Kerimbayeva

“…Key surgical parameters including operative time, intraoperative blood loss, pain reduction (VAS), and functional recovery (ODI) were assessed. …”
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IDDNet: Infrared Object Detection Network Based on Multi-Scale Fusion Dehazing by Shizun Sun, Shuo Han, Junwei Xu, Jie Zhao, Ziyu Xu, Lingjie Li, Zhaoming Han, Bo Mo

“…IDDNet includes a multi-scale fusion dehazing (MSFD) module, which uses multi-scale feature fusion to eliminate haze interference while preserving key object details. A dedicated dehazing loss function, DhLoss, further improves the dehazing effect. …”
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Machine learning for detection of equivariant finite symmetry groups in dynamical systems by Pablo Calvo-Barlés, Sergio G Rodrigo, Luis Martín-Moreno

“…In this work, we introduce the equivariance seeker model (ESM), a data-driven method for discovering the underlying finite equivariant symmetry group of an arbitrary function. ESM achieves this by optimizing a loss function that balances equivariance preservation with the penalization of redundant solutions, ensuring the complete and accurate identification of all symmetry transformations. …”
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Intelligent diagnosis of gearbox in data heterogeneous environments based on federated supervised contrastive learning framework by Ruoyang Bai, Hongwei Wang, Wenlei Sun, Li He, Yuxin Shi, Qingang Xu, Yunhang Wang, Xicong Chen

“…To tackle these issues, FSCL integrates the federated learning paradigm with a supervised contrastive mechanism: firstly, it overcomes the limitations of data silos through distributed collaborative training, enabling multiple participants to jointly develop diagnostic models without disclosing raw data; secondly, to address the feature space mismatch induced by heterogeneous data, a hybrid contrastive loss function is designed, which constrains the similarity between local models and the global model through supervised loss, thereby enhancing the feature representation capability of the global model. …”
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Heterogeneity-aware device selection for efficient federated edge learning by Yiran Shi, Jieyan Nie, Xingwei Li, Hui Li

“…The QDS algorithm leverages a greedy selection method that guarantees the deadline restrictions and reflects upon their historical performance metrics, as indicated by their loss function values from preceding training rounds. …”
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Comparative Analysis of Biochemical Parameters, Thermal Behavior, Rheological Features, and Gelling Characteristics of Thai Ligor Hybrid Chicken and Broiler Meats by Ngassa Julius Mussa, Chantira Wongnen, Warangkana Kitpipit, Worawan Panpipat, Mingyu Yin, Siriporn Riebroy Kim, Manat Chaijan

“…Understanding these variations in biochemical properties and functional behavior can help optimize processing methods and produce meat products of superior quality that meet consumer preferences.…”
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