Application of Damage Control tactics in the treatment of patients with generalized peritonitis and septic shock by A. Е. Demko, S. A. Shlyapnikov, I. M. Batyrshin, A. V. Оsipov, J. S. Оstroumova, D. S. Sklizkov, D. V. Fomin

“…Damage control tactics is safe and can be used in the treatment of general surgical patients with non-traumatic peritonitis and septic shock. …”
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Numerical Solutions and Stability Analysis of White Dwarfs with a Generalized Anisotropic Factor by Ayazhan Orazymbet, Aray Muratkhan, Daniya Utepova, Nurzada Beissen, Gulzada Baimbetova, Saken Toktarbay

“…The Tolman–Oppenheimer–Volkoff (TOV) equation is numerically solved using the Chandrasekhar equation of state (EoS) to analyze the effects of pressure anisotropy. A general anisotropy function is introduced to close and solve the system of differential equations. …”
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Predictive Scores for Identifying Chronic Opioid Dependence After General Anesthesia Surgery by Sun M, Chen WM, Lu Z, Lv S, Fu N, Yang Y, Wang Y, Miao M, Wu SY, Zhang J

“…Internal validation confirmed the model’s stability and potential applicability to external populations.Conclusion: This study provides a comprehensive understanding of postoperative chronic opioid dependence and introduces an effective predictive scoring system. The identified risk factors and risk stratification allow for early detection and targeted interventions, aligning with the broader initiative to enhance patient outcomes, minimize societal burdens, and contribute to the nuanced management of postoperative pain.Keywords: chronic opioid dependence, postoperative care, predictive scores, general anesthesia, surgical risk stratification…”
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Genetic Effects Assessment through Line × Tester Combining Ability for Development of Promising Hybrids Based on Quantitative Traits in Gossypium hirsutum L. by Khadijah Makhdoom, Naqib Ullah Khan, Shahid Ullah Khan, Rozina Gul, Zarina Bıbı, Samrin Gul, Sardar Alı, Shah Masaud Khan, Naushad Alı

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Enhancing generalization in a Kawasaki Disease prediction model using data augmentation: Cross-validation of patients from two major hospitals in Taiwan. by Chuan-Sheng Hung, Chun-Hung Richard Lin, Jain-Shing Liu, Shi-Huang Chen, Tsung-Chi Hung, Chih-Min Tsai

“…Furthermore, both models exhibit strong generalizability across diverse KD datasets, particularly the CTGAN-DC model, which surpasses the JAMA model with a 3% increase in sensitivity and a 95% improvement in generalization sensitivity and specificity, effectively resolving the model collapse issue observed in the JAMA model. …”
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Nonlinear Fractional Evolution Control Modeling via Power Non-Local Kernels: A Generalization of Caputo–Fabrizio, Atangana–Baleanu, and Hattaf Derivatives by F. Gassem, Mohammed Almalahi, Osman Osman, Blgys Muflh, Khaled Aldwoah, Alwaleed Kamel, Nidal Eljaneid

“…This framework utilizes a power non-local fractional derivative (PFD), which is a generalized fractional derivative that unifies several well-known derivatives, including Caputo–Fabrizio, Atangana–Baleanu, and generalized Hattaf derivatives, as special cases. …”
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Medical students’ perception of supervision in MedUniVienna’s structured internal medicine and surgery clerkship program: Subject-specific differences and clerkship sequence effect... by Hofhansl, Angelika, Zlabinger, Gerhard, Bach, Lena, Röhrs, Josefine, Mayer, Anna-Maria, Rieder, Anita, Wagner-Menghin, Michaela

“…The effect of different clerkship sequences on students' impressions of clinical supervision remains unclear. …”
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The effects of nitrous oxide and surgical position on endotracheal tube cuff pressure, post operative hoarseness, and sore throat; a double-blind clinical trial by Gholamhassann Chaichi-Nosrati, Esmail Moshiri, Hesameddin Modir, Alireza Mohammadi

“…BACKGROUND: The aim of this study was to evaluate the effects of nitrous oxide (N2O) and surgical position on endotracheal tube cuff (ETC) pressure, hoarseness, and sore throat (ST) after surgery under general anesthesia (GA). …”
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Research on Fine-Tuning Optimization Strategies for Large Language Models in Tabular Data Processing by Xiaoyong Zhao, Xingxin Leng, Lei Wang, Ningning Wang

“…The research provides novel insights into improving the practical effectiveness of LLMs and offers effective data processing methods for researchers in related fields. …”
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UAV Collision Avoidance in Unknown Scenarios with Causal Representation Disentanglement by Zhun Fan, Zihao Xia, Che Lin, Gaofei Han, Wenji Li, Dongliang Wang, Yindong Chen, Zhifeng Hao, Ruichu Cai, Jiafan Zhuang

“…This decline is mainly caused by the presence of non-causal and domain-specific elements within visual representations, which negatively impact the learning of policies. Present techniques generally depend on predefined augmentation or regularization methods intended to direct the model toward identifying causal and domain-invariant components, thereby enhancing the model’s ability to generalize. …”
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Learning with noisy labels via clean aware sharpness aware minimization by Bin Huang, Ying Xie, Chaoyang Xu

“…Sharpness aware minimization (SAM) has shown effective improvements in the generalization performance in the presence of noisy labels by introducing adversarial weight perturbations in the model parameter space. …”
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Estimation of plant leaf water content based on spectroscopy by Jiangtao Ji, Xinyi Lu, Hao Ma, Xin Jin, Shijie Jiang, Hongwei Cui, Xiaoxuan Lu, Yaqing Yang

“…Constructing leaf water content estimation models based on spectroscopy is an effective method for monitoring plant physiological conditions.MethodsTo improve the accuracy of leaf water content estimation and develop models applicable to different plants, this study collected 1,680 groups of hyperspectral and water content data from peach tree leaves. …”
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A Multi-Level Knowledge Distillation for Enhanced Crop Segmentation in Precision Agriculture by Zhiyong Li, Lan Xiang, Jun Sun, Dingyi Liao, Lijia Xu, Mantao Wang

“…Further validation shows that our approach exhibits strong generalization capabilities on two widely used public datasets, proving its applicability beyond agricultural domains.…”
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A guideline study for optimal machine learning approaches to predict the off-design performance of sCO2-PCHEs by Xin Sui, Wenqi Wang, Chunyang Liu, Peixin Dong

“…As research increasingly focuses on predicting the off-design performance of PCHEs using machine learning (ML) approaches, there is a clear need to identify the most cost-effective method that offers optimal accuracy and generalization across a wide range of operating conditions in sCO2 power cycles. …”
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Deep learning framework based on ITOC optimization for coal spontaneous combustion temperature prediction: a coupled CNN-BiGRU-CBAM model by Xuming Shao, Wenhao Liu, Gang Bai, Yan Chen, Yu Liu, Jiahe Guang

“…Abstract Coal spontaneous combustion (CSC) poses a significant safety hazard in coal mines, requiring effective prevention and control strategies. Accurate temperature prediction, crucial for assessing coal oxidation stages and combustion risk, underpins early warning systems. …”
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Physics-augmented deep learning models for improving evapotranspiration estimation in global land regions by Binrui Liu, Xinguang He, Wenkai Lyu, Lizhi Tao

“…The PAL ranks second and effectively mitigates the PDL’s sensitivity to imperfect physical knowledge. …”
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Text message intervention delivered from Australian general practices to improve breast cancer survivors’ physical activity and cardiovascular risk factors: protocol for the EMPOWER-SMS-GP effectiveness implementation randomised controlled trial by Karice K Hyun, Christine Mitchell, Julie Redfern, Nashid Hafiz, Rebecca Raeside, Brooke Nickel, Carolyn Ee, Jennifer McIntosh, Elisabeth Elder, Raymond J Chan, David Mizrahi, Stephanie R Partridge, Anna C Singleton, Allyson Ruth Todd, Kirsty E Stuart

“…This randomised controlled trial (RCT) aims to evaluate the effectiveness and implementation of a text message intervention called EMPOWER-SMS-GP in Australian general practices.Methods and analysis Multi-centre single-blind hybrid I RCT (n=678; 1:1 allocation) comparing EMPOWER-SMS-GP (n=339) to usual care (n=339) at 6 months (postintervention), 12, 18 and 24 months (maintenance) and parallel mixed-methods process evaluation using the Reach, Effectiveness, Adoption, Implementation and Maintenance framework. …”
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Substitution and Overlap: The Relationship Between User Digitization and Service Accessibility in Public Cultural Participation by WANG Yuanming, WANG Xueli

“…To analyze the relationship between users' digital literacy and the accessibility of public cultural services, the study applies a generalized ordered logit model. A generalized ordered logit model is employed to analyze the substitution and overlap effects between users' digital literacy and the various dimensions of service accessibility. …”
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Effect of Fireworks, Chinese New Year and the COVID-19 Lockdown on Air Pollution and Public Attitudes by Peter Brimblecombe, Yonghang Lai

“…The holiday effect, a reduction in pollutant concentrations when normal work activities are curtailed, is only apparent for NO2 in the holiday week in Wuhan (2015−2020), but not Beijing. …”
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Highway effects on artificial nest survival in a neotropical sand-coastal plain: A spatiotemporal approach by Gleidson Ramos da Silva, Pedro Diniz, Charles Duca

“…However, few studies have investigated the effects of traffic volume on the reproductive success of roadside birds in the neotropics. …”
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