Recent advances in anion exchange membrane technology for water electrolysis: a review of progress and challenges by Abdul Qayoom, Muhammad Shakeel Ahmad, H. Fayaz, Atika Qazi, Jeyraj Selvaraj, Rahadian Zainul, Krismadinata, Nasrudin Abd Rahim, Farruh Atamurotov, Thien Khanh Tran, Basma Souayeh, Natei Ermias Benti

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Transformers for Neuroimage Segmentation: Scoping Review by Maya Iratni, Amira Abdullah, Mariam Aldhaheri, Omar Elharrouss, Alaa Abd-alrazaq, Zahiriddin Rustamov, Nazar Zaki, Rafat Damseh

“…Transformers are a promising deep learning approach for automated medical image segmentation. …”
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Implementasi Metode Analytical Hierarchy Process dan Simple Additive Weighting untuk Pemilihan Dosen Terbaik Studi Kasus STMIK Atma Luhur by Laurentinus laurentinus, Sobirin Rinaldi

“…The criteria are: Education and Learning (C1), Research (C2), Dedication (C3), and Pedagogik (C4) obtained from Ristekdikti. …”
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MLinvitroTox reloaded for high-throughput hazard-based prioritization of high-resolution mass spectrometry data by Katarzyna Arturi, Eliza J. Harris, Lilian Gasser, Beate I. Escher, Georg Braun, Robin Bosshard, Juliane Hollender

“…MLinvitroTox is a machine learning (ML) framework comprising 490 independent XGBoost classifiers trained on molecular fingerprints from chemical structures and target-specific endpoints from the ToxCast/Tox21 invitroDBv4.1 database. …”
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Comparison of the Efficacy of Artificial Intelligence-Powered Software in Crown Design: An In Vitro Study by Ziqiong Wu, Chengqi Zhang, Xinjian Ye, Yuwei Dai, Jing Zhao, Wuyuan Zhao, Yuanna Zheng

“…AI-powered software requires further research and extensive deep learning to improve the morphological accuracy and stability of the crown design.…”
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Implementation of support meetings for patients undergoing outpatient chemotherapy by a multidisciplinary cancer team by Miho Jinno, Misako Dai, Kaori Ito, Yosuke Ando, Seira Toyosato-Nishibe, Maki Akiyoshi, Sachie Noda, Hidezo Matsuda, Naho Tsujii, Miho Zennami, Masami Yamamura, Yoko Katagata, Akemi Ito, Aki Takai, Shigeki Yamada, Kenji Kawada, Junko Sugama, Keiko Mano

“…Patients talked about the value of learning from the experiences of other patients and the easing of loneliness. …”
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Medicinal plants with neuroprotective potential in East African countries: A systematic review by Ibe Michael Usman, Ekom Monday Etukudo, Elna Owembabazi, Wusa Makena, Augustine Oviosun, Makeri Danladi, Vivian Ojiakor, Patrick Maduabuchi Aja, Emeka Anyanwu, Yanurkis Duranones Rosales, Mario Edgar Fernandez Diaz, Josiah Ifie, Ismahil Adekunle Adeniyi, Ilemobayo Victor Fasogbon, Victor Bassey Archibong

“…Behavioral outcomes aligned with these biochemical changes, showing marked improvements in memory and learning, motor activity, seizure threshold, and anxiety-like behavior. …”
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Functional and Cognitive Impairment in Patients with Relapsing–Remitting Multiple Sclerosis: Cognitive Tests and Plasma Neurofilament Light Chain Levels by Elina Polunosika, Joel Simren, Arta Akmene, Nikita Klimovskis, Kaj Blennow, Daina Pastare, Henrik Zetterberg, Renars Erts, Guntis Karelis

“…For the BVMT-R, we found no difference between the two groups; both groups were able to learn the task equally well, but we found a weak correlation between age and learning in both groups, which could be related to the normal aging process. …”
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Vom ›Fremdling‹ zum ›Maßstab‹. Zum Einzug der westlichen Musiktheorie in die arabische Welt bis ins frühe 20. Jahrhundert by Salah Eddin Maraqa

“…. // In the nineteenth century European music became a symbol of progress in the Arab world. Possessing, learning, and playing a European musical instrument became a status symbol that expressed an affiliation with a higher social class. …”
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Taking a partnership approach to embed physical activity in local policy and practice: a Bradford District case study by Jennifer Hall, Elliot Lever, Nathan Dawkins, Emma Young, Jamie Crowther, Rachel Williams, John Pickavance, Sally Barber, Andy Daly-Smith, Anna Chalkley, On behalf of the wider JU:MP team

“…These included: collaboration and sector integration, co-productive working, governance and leadership, and cultivating a learning culture. The process of co-producing a district-wide strategy for physical activity was key to facilitating shared ownership of the physical activity agenda across different levels of the system, and for supporting and maintaining cross-sectoral collaboration. …”
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Preoperative prediction of lymph node metastasis in intrahepatic cholangiocarcinoma: an integrative approach combining ultrasound-based radiomics and inflammation-related markers by Yu-ting Peng, Jin-shu Pang, Peng Lin, Jia-min Chen, Rong Wen, Chang-wen Liu, Zhi-yuan Wen, Yu-quan Wu, Jin-bo Peng, Lu Zhang, Hong Yang, Dong-yue Wen, Yun He

“…In the training cohort, we performed a Wilcoxon test to screen for differentially expressed features, and then we used 12 machine learning algorithms to develop 107 models within the cross-validation framework and determine the optimal radiomics model through receiver operating characteristic (ROC) curve analysis. …”
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Identification of macrophage polarisation and mitochondria-related biomarkers in diabetic retinopathy by Weifeng Liu, Bin Tong, Jian Xiong, Yanfang Zhu, Hongwei Lu, Haonan Xu, Xi Yang, Feifei Wang, Peng Yu, Yunwei Hu

“…Key genes were obtained by Mendelian randomisation (MR) analysis, then biomarkers were obtained by machine learning combined with receiver operating characteristic (ROC) and expression validation between DR and control cohorts in GSE221521 and GSE160306 to obtain biomarkers. …”
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Intraoperative haemodynamic optimisation using the Hypotension Prediction Index and its impact on tissular perfusion: a protocol for a randomised controlled trial by Javier Ripollés-Melchor, Ane Abad-motos, Juan Victor Lorente, Ignacio Jimenez, Alejandra Becerra, Wilbert Wesselink, Francesca Reguant, Irene Mojarro, Maria de los Angeles Fuentes, Elizabeth Agudelo, Francisco Herrero-Machancoses, Paula Callejo, Joan Bosch, Manuel Ignacio Monge

“…The Hypotension Prediction Index (HPI) developed using machine learning techniques, allows the prediction of arterial hypotension analysing the arterial pressure waveform. …”
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Neoplasms in the Nasal Cavity Identified and Tracked with an Artificial Intelligence-Assisted Nasal Endoscopic Diagnostic System by Xiayue Xu, Boxiang Yun, Yumin Zhao, Ling Jin, Yanning Zong, Guanzhen Yu, Chuanliang Zhao, Kai Fan, Xiaolin Zhang, Shiwang Tan, Zimu Zhang, Yan Wang, Qingli Li, Shaoqing Yu

“…Using Deep Snake, U-Net, and Att-Res2-UNet, we developed a nasal neoplastic detection network based on endoscopic images. After deep learning, the optimal network was selected as the initialization model and trained to optimize the SiamMask online tracking algorithm. …”
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Deciphering the role of miRNA-mRNA interactions in cerebral vasospasm post intracranial hemorrhage by Xiang Chu, Xiang Chu, Xiyan Zhu, Honghao Xu, Wenbing Zhao, Debin Guo, Xing Chen, Jinze Wu, Lei Li, Hao Wang, Jun Fei

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New Insights into the Role of Inflammatory Pathways and Immune Cell Infiltration in Sleep Deprivation-Induced Atrial Fibrillation: An Integrated Bioinformatics and Experimental Stu... by Liang J, Tang B, Shen J, Rejiepu M, Guo Y, Wang X, Shao S, Guo F, Wang Q, Zhang L

“…The application of machine learning uncovered four crucial genes—CDC5L, MAPK14, RAB5A, and YBX1—with YBX1 becoming the predominant gene in diagnostic processes. …”
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Low-dose intranasal deferoxamine modulates memory, neuroinflammation, and the neuronal transcriptome in the streptozotocin rodent model of Alzheimer’s disease by Jared M. Fine, Jacob Kosyakovsky, Tate T. Bowe, Katherine A. Faltesek, Benjamin M. Stroebel, Juan E. Abrahante, Michael R. Kelly, Elizabeth A. Thompson, Claire M. Westby, Kiley M. Robertson, William H. Frey, Leah R. Hanson

“…We and other research groups have shown that IN DFO rescues cognitive impairment in several rodent models of Alzheimer Disease (AD).MethodsThis study was designed to probe dosing regimens to inform future clinical trials, while exploring mechanisms within the intracerebroventricular (ICV) streptozotocin (STZ) model.ResultsFive weeks of daily IN dosing of Long Evans rats with 15 μL of a 1% (0.3 mg), but not 0.1% (0.03 mg), solution of DFO rescued cognitive impairment caused by ICV STZ administration as assessed with the Morris Water Maze (MWM) test of spatial memory and learning. Furthermore, IN DFO modulated several aspects of the neuroinflammatory milieu of the ICV STZ model, which was assessed through a novel panel of brain cytokines and immunohistochemistry. …”
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Probabilistic nested model selection in pharmacokinetic analysis of DCE-MRI data in animal model of cerebral tumor by Hassan Bagher-Ebadian, Stephen L. Brown, Mohammad M. Ghassemi, Prabhu C. Acharya, Indrin J. Chetty, Benjamin Movsas, James R. Ewing, Kundan Thind

“…Approximately two hundred thirty thousand (229,314) normalized ΔR1 profiles of animals’ brain voxels along with their NMS results were used to build a K-SOM (topology-size: 8 × 8, with competitive-learning algorithm) and probability map of each model. …”
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Comprehensive pan-cancer analysis reveals NTN1 as an immune infiltrate risk factor and its potential prognostic value in SKCM by Fuxiang Luan, Yuying Cui, Ruizhe Huang, Zhuojie Yang, Shishi Qiao

“…To further elucidate the influence of genes on tumors, we utilized a variety of machine learning techniques and found that NTN1 is strongly linked to multiple cancer types, suggesting it as a potential therapeutic target. …”
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The interaction network and potential clinical effectiveness of dimensional psychopathology phenotyping based on EMR: a Bayesian network approach by Jianqing Qiu, Ting Zhu, Ke Qin, Wei Zhang

“…Therefore, we employed unsupervised learning to translate five domains of eRDoC scores derived from electronic medical records (EMR) of patients diagnosed with Major Depressive Disorder (MDD), Schizophrenia (SCZ), and Bipolar Disorder (BD) at West China Hospital between 2008 and 2021. …”
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