Fully automated MRI‐based analysis of the locus coeruleus in aging and Alzheimer's disease dementia using ELSI‐Net by Max Dünnwald, Friedrich Krohn, Alessandro Sciarra, Mousumi Sarkar, Anja Schneider, Klaus Fliessbach, Okka Kimmich, Frank Jessen, Ayda Rostamzadeh, Wenzel Glanz, Enise I. Incesoy, Stefan Teipel, Ingo Kilimann, Doreen Goerss, Annika Spottke, Johanna Brustkern, Michael T. Heneka, Frederic Brosseron, Falk Lüsebrink, Dorothea Hämmerer, Emrah Düzel, Klaus Tönnies, Steffen Oeltze‐Jafra, Matthew J. Betts

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Benchmarking shoreline prediction models over multi-decadal timescales by Yongjing Mao, Giovanni Coco, Sean Vitousek, Jose A. A. Antolinez, Georgios Azorakos, Masayuki Banno, Clément Bouvier, Karin R. Bryan, Laura Cagigal, Kit Calcraft, Bruno Castelle, Xinyu Chen, Maurizio D’Anna, Lucas de Freitas Pereira, Iñaki de Santiago, Aditya N. Deshmukh, Bixuan Dong, Ahmed Elghandour, Amirmahdi Gohari, Eduardo Gomez-de la Peña, Mitchell D. Harley, Michael Ibrahim, Déborah Idier, Camilo Jaramillo Cardona, Changbin Lim, Ivana Mingo, Julian O’Grady, Daniel Pais, Oxana Repina, Arthur Robinet, Dano Roelvink, Joshua Simmons, Erdinc Sogut, Katie Wilson, Kristen D. Splinter

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Pharmacological potential of 6,11-dihydro[1,2,4]triazolo[4’,3’:1,6]-pyrido[3,4-b]-5-carboxylic acid and its esters by S. O. Fedotov, A. S. Hotsulia

“…The aim of this work has been to preliminarily evaluate the potential of indole-containing 1,2,4-triazole derivatives as a basis for the development of biologically active substances. …”
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Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…Although porescale imaging and network modeling techniques can compute capillary pressure from micro-CT rock images (Øren and Bakke, 2003; Valvatne and Blunt, 2004), these approaches are time-consuming, limited to small sample volumes, and not yet practical for routine reservoir evaluation. …”
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Soil moisture controls over carbon sequestration and greenhouse gas emissions: a review by Yuefeng Hao, Jiafu Mao, Charles M. Bachmann, Forrest M. Hoffman, Gerbrand Koren, Haishan Chen, Hanqin Tian, Jiangong Liu, Jing Tao, Jinyun Tang, Lingcheng Li, Laibao Liu, Martha Apple, Mingjie Shi, Mingzhou Jin, Qing Zhu, Steve Kannenberg, Xiaoying Shi, Xi Zhang, Yaoping Wang, Yilin Fang, Yongjiu Dai

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Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring by Ali Zaki Mohammed Nafa, Adel A. Obed, Ahmed J. Abid, Salam J. Yaqoob, Mohit Bajaj, Mohammad Shabaz

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Fuzzy Hypothesis Testing for Radar Detection: A Statistical Approach for Reducing False Alarm and Miss Probabilities by Ahmed K. Elsherif, Hanan Haj Ahmad, Mohamed Aboshady, Basma Mostafa

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Deep learning-based delineation of whole-body organs at risk empowering adaptive radiotherapy by Zi-Hang Chen, Song-Feng Li, Ling-Xin Xu, Meng-Qiu Tian, Feng Li, Yu-Xian Yang, Chen-Fei Wu, Guan-Qun Zhou, Li Lin, Yao Lu, Ying Sun

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Network and systems biology approaches help investigate gene regulatory interactions between Salmonella disease and host in chickens: Model‐based in silico evidence combined with g... by Reza Tohidi, Hoda Javaheri Bargourooshi, Arash Javanmard

“…Next, statistically, the postdoc test was used for the evaluation of treatments using SAS version 9.4, and p values of 0.05 and 0.01 were chosen for significant level. …”
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Accuracy of large language models for answering pediatric preventive dentistry questions by GUAN Boyan, XU Minghe, ZHANG Huiqi, MA Shulei, ZHANG Shanshan, ZHAO Junfeng

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Hypotensive episodes on program hemodialysis during dialysis procedure: modern approach for diagnostics, prophylaxis and correction by V. Yu. Shilo, I. Yu. Drachev

“…The study objective is to evaluate the effectiveness of different approaches to correction and prevention of arterial hypotension episodes in patients undergoing long-term hemodialysis (HD).Materials and methods. …”
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Influence of volatiles (H$_{2}$O and CO$_{2}$) on shoshonite phase equilibria by Vetere, Francesco, Namur, Olivier, Holtz, Francois, Almeev, Renat, Donato, Paola, Frondini, Francesco, Cassetta, Michele, Pisello, Alessandro, Perugini, Diego

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DYNAMICS OF CYTOKINES IN ORAL FLUID OF COMPLETELY EDENTULOUS PATIENTS AFTER PROSTHETIC REHABILITATION WITH IMPLANTS by V.A. Ponomarenko, Y.I. Sylenko, M.V. Khrebor

“…Methods of the research of periimplantal area, bone structures, alveolar processes became panoramic radiography and computed tomography. Content in oral fluid FNPα, IL-1 β and IL-10 was evaluated by the method of ELISA, using Pro Con (NPO "Protein circuit" G. …”
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Peroral endoscopic myotomy as a new approach in the treatment of patients with achalasia cardia by O.M. Kiosov, M.B. Danyliuk, M.A. Kubrak

“…The diagnosis was made based on the following data: complaints, clinical course, esophagram, endoscopic diagnosis, and computed tomography. The average age of the patients was 50.0 ± 15.7 years. …”
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Value of APACHE II, SOFA and CardShock scoring as predictive tools for cardiogenic shock: A single‐centre pilot study by Małgorzata Chlabicz, Wojciech Łaguna, Remigiusz Kazimierczyk, Ewelina Kazimierczyk, Paulina Łopatowska, Monika Gil, Bożena Sobkowicz, Karol A. Kamiński, Agnieszka Tycińska

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In vitro bioactivity and metabolomics of green tea processed from raw materials of different by Jixin Zhang, Yanqun Jiang, Yuxuan Zhang, Tiehan Li, Wei Zhao, Tianzi Yu, Yida Wu, Mingxia Lu, Jingming Ning, Zhengzhu Zhang

“…This study systematically examined the effects and applicability of different maturity levels on green tea processing using computer vision, taste evaluation, metabolomics, and microplate reader detection. …”
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Leveraging automated time-lapse microscopy coupled with deep learning to automate colony forming assay by Anusha Klett, Anusha Klett, Dennis Raith, Dennis Raith, Paula Silvestrini, Paula Silvestrini, Paula Silvestrini, Matías Stingl, Jonas Bermeitinger, Avani Sapre, Avani Sapre, Avani Sapre, Martin Condor, Roman Melachrinos, Mira Kusterer, Alexandra Brand, Guido Pisani, Guido Pisani, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Marie Follo, Marie Follo, Jesús Duque-Afonso, Roland Mertelsmann, Roland Mertelsmann

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A large-scale ENIGMA multisite replication study of brain age in depression by Laura K.M. Han, Richard Dinga, Ramona Leenings, Tim Hahn, James H. Cole, Lyubomir I. Aftanas, Alyssa R. Amod, Bianca Besteher, Romain Colle, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Konstantin V. Danilenko, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H. Gotlib, Roberto Goya-Maldonado, Nynke A. Groenewold, Paul Hamilton, Naho Ichikawa, Jonathan C. Ipser, Eri Itai, Sheri-Michelle Koopowitz, Meng Li, Go Okada, Yasumasa Okamoto, Olga S. Churikova, Evgeny A. Osipov, Brenda W.J.H. Penninx, Edith Pomarol-Clotet, Elena Rodríguez-Cano, Matthew D. Sacchet, Hotaka Shinzato, Kang Sim, Dan J. Stein, Aslihan Uyar-Demir, Dick J. Veltman, Lianne Schmaal

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A Deep Learning–Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records by Gowtham Varma, Rohit Kumar Yenukoti, Praveen Kumar M, Bandlamudi Sai Ashrit, K Purushotham, C Subash, Sunil Kumar Ravi, Verghese Kurien, Avinash Aman, Mithun Manoharan, Shashank Jaiswal, Akash Anand, Rakesh Barve, Viswanathan Thiagarajan, Patrick Lenehan, Scott A Soefje, Venky Soundararajan

“…Clinician-confirmed cancer progression, namely real-world PFS (rwPFS) in unstructured text (ie, clinical notes), serves as a reasonable surrogate for real-world indicators in ascertaining progression endpoints. Response evaluation criteria in solid tumors (RECIST) is traditionally used in clinical trials using serial imaging evaluations but is impractical when working with real-world data. …”
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Construction of feature selection and efficacy prediction model for transformation therapy of locally advanced pancreatic cancer based on CT, 18F-FDG PET/CT, DNA mutation, and CA19... by Liang Qi, Xiang Li, Jiayao Ni, Yali Du, Qing Gu, Baorui Liu, Jian He, Juan Du

“…Our study focuses on using computed tomography (CT), positron emission tomography/computed tomography (PET/CT), gene mutations, and baseline carbohydrate antigen 199 (CA199) to identify biomarkers for predicting the efficacy of transformative treatment. …”
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