Etodolac Single Dose Metabolic Profile Elucidation: Pharmacokinetics and Adverse Events in Healthy Volunteers by Karen Sánchez-Luquez, Anne Michelli Reis Silveira, Salvador Sánchez-Vinces, Alex Ap. Rosini Silva, Joyce Barreto, Rhubia Bethania Socorro Lemos de Brito, Caroline de Moura Garcia, Ana Lais Vieira, Marcia Ap. Antonio, Patrícia de Oliveira Carvalho

“…Network analysis was employed to interpret the data. …”
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Surface morphology segmentation and evaluation of diamond lapping pad based on improved Mask R-CNN by Wenlong SUO, Yanfen LIN, Congfu FANG

“…The network structures of the Input stem, stages 1, 2, and 4 are kept unchanged. …”
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Transcriptomic profiling and bioinformatic insights into myocardial injury following aneurysmal subarachnoid hemorrhage by Zuoli Wu, Zuoli Wu, Wenbo He, Weihao Ye, Shang Xu, Shengwei Wei, Baozi Huang, Pingping Li, Yanyan Tang, Chao Qin, Ying Liu, Ziming Ye

“…Bioinformatic analysis revealed that the differentially expressed mRNAs were involved in biological processes such as ion transport, immune regulation, and myocardial contraction, and were associated with pathways related to vasodilation, nerve conduction, and cardiac function regulation. ceRNA analysis identified hsa-miR-4707-3p and hsa-miR-25-5p as potential network hubs. …”
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Development of a warning model for drug-induced liver injury in the older patients by Qiaozhi Hu, Qiaozhi Hu, Xiaoqi Li, Xiaoqi Li, Dan Zou, Zhiyao He, Zhiyao He, Ting Xu

“…This study aimed to develop and compare eight machine learning (ML) models using routine clinical, pharmacological, and laboratory data to predict DILI in older hospitalized patients.MethodsWe conducted a retrospective analysis of older patients hospitalized in 2022 who exhibited abnormal liver function tests. …”
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Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea by Na Hyeon Yu, Daeun Shin, Ik Hee Ryu, Tae Keun Yoo, Kyungmin Koh

“…An artificial neural network (ANN) with a ReLU activation function, developed using Orange Data Mining, demonstrated superior performance, achieving an AUC of 0.856 (95% confidence interval [CI], 0.835–0.875) in internal validation and 0.784 (95% CI, 0.763–0.803) in external validation. …”
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Liposomal Nanoparticle Delivery of Ginkgo Flavone Glycosides Enhances SIRT1 Activation and Improves Diabetic Cardiomyopathy by Gao W, Chen R, Tong H, Wang Y, Liang L, Li Y, Yu H

“…Various evaluations, including body weight, blood glucose levels, and cardiac function, were performed. Network pharmacology, transcriptomic analysis, and molecular docking studies were conducted to elucidate the key role of SIRT1 in inhibiting DCM progression. …”
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Global research dynamics in the induced pluripotent stem cell and diabetes: A bibliometric analysis of the past twenty years by Jiatong Wang, Sirui Huang, Kaiyuan Li, Jing Li, Xin Huang

“…The United States not only leads in the number of publications but also has a broader network of international collaborators. Stem Cell Research and Diabetes are the most frequently published and cited journals. …”
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Optimized Blade Design of Counter-Rotating-Type Pump-Turbine Unit Operating in Pump and Turbine Modes by Jin-Woo Kim, Jun-Won Suh, Young-Seok Choi, Kyoung-Yong Lee, Toshiaki Kanemoto, Jin-Hyuk Kim

“…The hub and tip blade angles of the rear impeller (in the pump mode) were selected as the design variables by conducting a sensitivity test. An optimization process based on steady flow analysis was conducted using a radial basis neural network surrogate model with Latin hypercube sampling. …”
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Research and design of distributed intelligent electronic pulse barring facility by Mingwu Wang, Weiheng Chen, Fan Yang, Yingxuan Liang

“…The system established a dynamic charging and discharging model, an electric field strength calculation model, and a forward reverse rotation conduction model. The facility used a controller area network field bus to realize cooperative operation between one master machine and multiple slave machines that was suitable for fish blocking in various water areas. …”
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A compositional model for effort‐aware Just‐In‐Time defect prediction on android apps by Kunsong Zhao, Zhou Xu, Meng Yan, Lei Xue, Wei Li, Gemma Catolino

“…More specifically, KPIDL first exploits a feature learning technique to preprocess original data for obtaining better feature representation, and then introduces a state‐of‐the‐art cost‐sensitive cross‐entropy loss function into the deep neural network to alleviate the class imbalance issue by considering the prior probability of the two types of classes. …”
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Electrochemical ohmic memristors for continual learning by Shaochuan Chen, Zhen Yang, Heinrich Hartmann, Astrid Besmehn, Yuchao Yang, Ilia Valov

“…The multifunctional properties enabled by the FCM can be effectively used to overcome the catastrophic forgetting problem in conventional deep neural networks. Our findings represent an important milestone in resistive switching fundamentals and provide an effective approach for designing memristive system, expanding the horizon of functionalities and neuroscience applications.…”
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CFTR interactome mapping using the mammalian membrane two‐hybrid high‐throughput screening system by Sang Hyun Lim, Jamie Snider, Liron Birimberg‐Schwartz, Wan Ip, Joana C Serralha, Hugo M Botelho, Miquéias Lopes‐Pacheco, Madalena C Pinto, Mohamed Taha Moutaoufik, Mara Zilocchi, Onofrio Laselva, Mohsen Esmaeili, Max Kotlyar, Anna Lyakisheva, Priscilla Tang, Lucía López Vázquez, Indira Akula, Farzaneh Aboualizadeh, Victoria Wong, Ingrid Grozavu, Teuta Opacak‐Bernardi, Zhong Yao, Meg Mendoza, Mohan Babu, Igor Jurisica, Tanja Gonska, Christine E Bear, Margarida D Amaral, Igor Stagljar

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Environmental Sound Recognition Using Time-Frequency Intersection Patterns by Xuan Guo, Yoshiyuki Toyoda, Huankang Li, Jie Huang, Shuxue Ding, Yong Liu

“…Environmental sound recognition is an important function of robots and intelligent computer systems. …”
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Optimal Coordination of Last Trains for Maximum Transfer Accessibility with Heterogeneous Walking Time by Yao Chen, Baohua Mao, Yun Bai, Tin Kin Ho, Zhujun Li

“…A real case on the Shenzhen metro network is conducted to demonstrate the performance of the models. …”
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Application of the JAYA Algorithm in Solving the Problem of the Optimal Coordination of Overcurrent Relays in Single- and Multi-Loop Distribution Systems by Abdul Wadood, Saeid Gholami Farkoush, Tahir Khurshaid, Jiang-Tao Yu, Chang-Hwan Kim, Sang-Bong Rhee

“…In electrical power relaying coordination, the objective function to be minimized is the sum of the overall operational time of the main relays. …”
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Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs by Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN

“…In recent years, software vulnerabilities have been causing a multitude of security incidents, and the early discovery and patching of vulnerabilities can effectively reduce losses.Traditional rule-based vulnerability detection methods, relying upon rules defined by experts, suffer from a high false negative rate.Deep learning-based methods have the capability to automatically learn potential features of vulnerable programs.However, as software complexity increases, the precision of these methods decreases.On one hand, current methods mostly operate at the function level, thus unable to handle inter-procedural vulnerability samples.On the other hand, models such as BGRU and BLSTM exhibit performance degradation when confronted with long input sequences, and are not adept at capturing long-term dependencies in program statements.To address the aforementioned issues, the existing program slicing method has been optimized, enabling a comprehensive contextual analysis of vulnerabilities triggered across functions through the combination of intra-procedural and inter-procedural slicing.This facilitated the capture of the complete causal relationship of vulnerability triggers.Furthermore, a vulnerability detection task was conducted using a Transformer neural network architecture equipped with a multi-head attention mechanism.This architecture collectively focused on information from different representation subspaces, allowing for the extraction of deep features from nodes.Unlike recurrent neural networks, this approach resolved the issue of information decay and effectively learned the syntax and semantic information of the source program.Experimental results demonstrate that this method achieves an F1 score of 73.4% on a real software dataset.Compared to the comparative methods, it shows an improvement of 13.6% to 40.8%.Furthermore, it successfully detects several vulnerabilities in open-source software, confirming its effectiveness and applicability.…”
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Velocities of hippocampal traveling waves are proportional to their coherence frequency. by Gadi Goelman, Tal Benoliel, Zvi Israel, Sami Heymann, Juan Leon, Dana Ekstein

“…Our nonlinear multivariate analysis appears better suited than pairwise coherence for investigating brain network dynamics. Further research is needed to elucidate the role of conduction velocity in brain function.…”
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Adverse drug reactions to atezolizumab in combination with bevacizumab in hepatocellular carcinoma patients: an analysis of the food and drug administration adverse event reporting... by Wanming He, Lihua Tong, Yanling Yuan, Xia Yang, Wen Yang, Xingxi Pan

“…Disproportionality analysis was conducted using the reporting odds ratio (ROR), proportional reporting ratio (PRR) and Bayesian confidence propagation neural network (BCPNN) of information components (IC). …”
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Evaluating the Efficiency of Energy Consumption in Dairy Cattle Breeding Unit Using Statistical and ANFIS Methods by Ostvar Saeed, Shahgholi Gholamhossein, Chekan Ahmad Moradi, Moinfar Abdolmajid, Szymanek Mariusz

“…After examining different models of ANFIS, the best ANFIS model with the input membership function of trimf was selected and the R2 and MAPE values of 0.98 and 0.42 were obtained, respectively.…”
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BATF alleviates ox-LDL-induced HCAEC injury by regulating SIRT1 expression in coronary heart disease. by Bei Tian, Jingyu Ji, Can Jin

“…<h4>Conclusion</h4>The research findings suggested a prospective protective function of BATF in HCAEC injury induced by ox-LDL, likely through the mediation of SIRT1 regulation. …”
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