Algoritma Simulated Annealing untuk Menentukan Rute Kendaraan Heterogen (Studi Kasus) by Andriansyah Andriansyah, Rizky Novatama, Prima Denny Sentia

“…On average, solutions produced by simulated annealing algorithm from dataset have same quality with analitycal method, but with faster computation. …”
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20(S)-Ginsenoside Rg3 Protects Kidney from Diabetic Kidney Disease via Renal Inflammation Depression in Diabetic Rats by Tong Zhou, Lin Sun, Shuo Yang, You Lv, Yue Cao, Xiaokun Gang, Guixia Wang

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Minimum acceptable diet and contributing factors among children aged 6–23 months in Afghanistan: insights from the 2022–2023 Multiple Indicator Cluster Survey by Essa Tawfiq, Muhammad Haroon Stanikzai, Massoma Jafari, Ghulam Mohayuddin Mudaser, Zainab Ezadi, Sayed Ali Shah Alawi, Abdul Wahed Wasiq, Omid Dadras

“…Methods This cross-sectional study was based on a secondary dataset of the 2022–2023 Afghanistan Multiple Indicator Cluster Survey (MICS 2022–23). …”
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Non-Rigid Cycle Consistent Bidirectional Network with Transformer for Unsupervised Deformable Functional Magnetic Resonance Imaging Registration by Yingying Wang, Yu Feng, Weiming Zeng

“…The proposed registration method was experimented on real fMRI datasets, and qualitative and quantitative evaluations of the quality of the registration method were implemented on the test dataset using relevant evaluation metrics. …”
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Atypical early neural responses to native and non-native language in infants at high likelihood for developing autism by Lauren Wagner, Megan Banchik, Tawny Tsang, Nana J. Okada, Rebecca Altshuler, Nicole McDonald, Susan Y. Bookheimer, Shafali S. Jeste, Shulamite Green, Mirella Dapretto

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Early Brain Damage Affects Body Schema and Person Perception Abilities in Children and Adolescents with Spastic Diplegia by Niccolò Butti, Rosario Montirosso, Lorenzo Giusti, Luigi Piccinini, Renato Borgatti, Cosimo Urgesi

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Reasons for decline and measures to promote Nili Ravi buffalo in its breeding tract by M. Gururaj, Krishan Ahuja, F..C. Tuteja, N. Saxena

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Diagnostic prediction model for screening of elevated low-density and non-high-density lipoproteins in young Thai adults between 20 and 40 years of age by Phichayut Phinyo, Wuttipat Kiratipaisarl, Vithawat Surawattanasakul, Wachiranun Sirikul

“…Internal validation was carried out using 500 repetitions of bootstrap-resampling.Results Dataset included 2222 LDL-C and 5149 non-HDL-C investigations, 303 were classed as elevated LDL-C (13.6%) and 1013 as elevated non-HDL-C cases (19.7%). …”
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Protein Kinase A Is Involved in Neuropathic Pain by Activating the p38MAPK Pathway to Mediate Spinal Cord Cell Apoptosis by Yajun Deng, Liang Yang, Qiqi Xie, Fengbiao Yang, Guoqiang Li, Guangzhi Zhang, Shaoping Li, Zuolong Wu, Jing Wang, Xuewen Kang

“…A neuropathic pain-related gene expression dataset was downloaded from Gene Expression Omnibus, and differentially expressed genes were screened using the R software. cytoHubba was used to screen for hub genes. …”
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Event Detection and Identification of Influential Spreaders in Social Media Data Streams by Leilei Shi, Yan Wu, Lu Liu, Xiang Sun, Liang Jiang

“…The experimental results, using a Twitter dataset, demonstrate the effectiveness of our proposed methods for both detecting events and identifying influential spreaders.…”
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A Lightweight Network for Ship Detection in SAR Images Based on Edge Feature Aware and Fusion by Yuming Li, Jin Liu, Xingye Li, Xiliang Zhang, Zhongdai Wu, Bing Han

“…To validate the superiority of our proposed method, we conduct extensive experiments on multiple public datasets, achieving average accuracy scores of 94.2%, 97.6%, and 97.7% on the HRSID, SAR-Ship-Dataset, and SSDD, respectively, with a model parameter size of only 3.36 M, and the fastest processing time for a single frame is 7.2 ms.…”
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Bone Mineral Status in Children and Adolescents with Klinefelter Syndrome by Stefano Stagi, Mariarosaria Di Tommaso, Cristina Manoni, Perla Scalini, Francesco Chiarelli, Alberto Verrotti, Elisabetta Lapi, Sabrina Giglio, Laura Dosa, Maurizio de Martino

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WIMUSim: simulating realistic variabilities in wearable IMUs for human activity recognition by Nobuyuki Oishi, Phil Birch, Daniel Roggen, Paula Lago

“…Evaluations using exercise and locomotion activity datasets confirm that models trained with optimized virtual IMU data perform comparably to those trained with real IMU data. …”
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Linear Active Disturbance Rejection Control-Based Voltage Controller for Buck and Boost DC/DC Converters in DC Distribution Grids by Asimenia Korompili, Oemer Ekin, Marija Stevic, Veit Hagenmeyer, Antonello Monti

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Short-term follow-up of antibiotic-loaded calcium sulfate in treating chronic periprosthetic joint infection during two-stage revision by Xiao Sun, Jun Tan, Lijuan Zhan, Mingkui Sheng, Zhongxin Tang, Lingxiao Wu, Jianzhong Xu, Haijun Ma

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Abnormal Baseline Brain Activity in Patients with Pulsatile Tinnitus: A Resting-State fMRI Study by Lv Han, Liu Zhaohui, Yan Fei, Li Ting, Zhao Pengfei, Du Wang, Dong Cheng, Guo Pengde, Han Xiaoyi, Wang Xiao, Li Rui, Wang Zhenchang

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Adverse Events of the BCG (Bacillus Calmette–Guérin) and Rotavirus Vaccines in a Young Infant with Inborn Error of Immunity by Suleiman Al-Hammadi, Najla S. Alkuwaiti, Ghassan A. Ghatasheh, Huda Al Dhanhani, Hiba M. Shendi, Abdulghani S. Elomami, Farida Almarzooqi, Abdul-Kader Souid

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Zinc Supplementation Prevented Type 2 Diabetes-Induced Liver Injury Mediated by the Nrf2-MT Antioxidative Pathway by Lechu Yu, Yuanyuan Liu, Yichun Jin, Tinghao Liu, Wenhan Wang, Xuemian Lu, Chi Zhang

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Trends and determinants of obesity among ever-married women aged 15–49 in India: insights from National Family Health Surveys (NFHS 1998–2021) by Aditya Singh, Sadanand Karun, Mahashweta Chakrabarty, Rakesh Chandra, Shivani Singh

“…Methods Data from four National Family Health Survey (NFHS) rounds, spanning 1998-99 to 2019-21, were pooled to create a dataset of 1,117,433 participants. We analysed obesity trends in India and its states and assessed β- and σ-convergence in obesity rates during this period. …”
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Automated characterisation of cerebral microbleeds using their size and spatial distribution on brain MRI by Vaanathi Sundaresan, Giovanna Zamboni, Robert A. Dineen, Dorothee P. Auer, Stamatios N. Sotiropoulos, Nikola Sprigg, Mark Jenkinson, Ludovica Griffanti

“…On an intracerebral haemorrhage study dataset, we achieved a mean absolute error of 2.5 mm for size estimation and an overall accuracy > 90% for automated rating. …”
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