Potential and actual evapotranspiration and Landsat derived indices by P. Kumar, D. Deka, A. Yadav, Ashwani ., M. Kumar, J.P. Das, A. Singh, A. Gurjar

“…The data from the Climatic Research Unit (2000–2022) was additionally utilized for the computation of potential evapotranspiration. …”
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Human_SNP_TATAdb: a database of SNPs that statistically significantly change the affinity of the TATA-binding protein to human gene promoters: genome-wide analysis and use cases by S. V. Filonov, N. L. Podkolodnyy, O. A. Podkolodnaya, N. N. Tverdokhleb, P. M. Ponomarenko, D. A. Rasskazov, A. G. Bogomolov, M. P. Ponomarenko

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Ferroptosis Transcriptional Regulation and Prognostic Impact in Medulloblastoma Subtypes Revealed by RNA-Seq by Christophe Desterke, Yuanji Fu, Jenny Bonifacio-Mundaca, Claudia Monge, Pascal Pineau, Jorge Mata-Garrido, Raquel Francés

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Isotropy of an Upper Limb Exoskeleton and the Kinematics and Dynamics of the Human Arm by Joel C. Perry, Janet M. Powell, Jacob Rosen

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Macroproperties vs. microstates in the classical simulation of critical phenomena in quench dynamics of 1D Ising models by Anupam Mitra, Tameem Albash, Philip Daniel Blocher, Jun Takahashi, Akimasa Miyake, Grant Biedermann, Ivan H Deutsch

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An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study by Julia Thomas, Antonia Lucht, Jacob Segler, Richard Wundrack, Marcel Miché, Roselind Lieb, Lars Kuchinke, Gunther Meinlschmidt

“…Future research should explore multimodal input features and temporal aspects of suicide risk.…”
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The Influence of Vitamin D Levels and Supplementation on the Treatment of Patients Affected by MRONJ by Filip Michalak, Marzena Dominiak, Jan Kiryk, Paweł Popecki, Dominik Kubicki, Jacek Matys, Kinga Grzech-Leśniak

“…<b>Background:</b> Advancements in pharmacology have led to the introduction of novel antiresorptive and antiangiogenic drugs, which are associated with the side effect of medication-related osteonecrosis of the jaw (MRONJ). …”
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Most prevalent jobs of doctoral degree graduates by detailed field of study by Marc Frenette, Tomasz Handler

“…Among female doctoral graduates of computer science programs, the most prevalent job was university professors and lecturers (29.5%), followed by software developers and programmers (18.1%); data scientists (10.9%); computer, software and Web designers and developers (10.0%); and computer and information systems professionals (9.0%). …”
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Monster Radio Jet (>66 kpc) Observed in Quasar at z ∼​​​​​ 5 by Anniek J. Gloudemans, Frits Sweijen, Leah K. Morabito, Emanuele Paolo Farina, Kenneth J. Duncan, Yuichi Harikane, Huub J. A. Röttgering, Aayush Saxena, Jan-Torge Schindler

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cigFacies: a massive-scale benchmark dataset of seismic facies and its application by H. Gao, X. Wu, X. Sun, M. Hou, M. Hou, H. Gao, G. Wang, H. Sheng

“…</a>, <a href="#bib1.bibx6">2024</a><a href="#bib1.bibx6">b</a></span>) publicly available for further research and validation of intelligent seismic facies classification.…”
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Efficacy of non-invasive brain stimulation interventions on cognitive impairment: an umbrella review of meta-analyses of randomized controlled trials by Minmin Wu, Wenjing Song, Xue Wang, Lili Teng, Jinting Li, Jiongliang Zhang, Xinyue Li, Donghui Yu, Huanhuan Jia, Binhan Wang, Qiang Tang, Luwen Zhu

“…Findings Ten SRMAs detailing 22 associations were analyzed, focusing on two NIBS techniques across 12 unique outcomes. …”
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AI-based tumor-infiltrating lymphocyte scoring system for assessing HCC prognosis in patients undergoing liver resection by Zhiyang Chen, Tingting Xie, Shuting Chen, Zhenhui Li, Su Yao, Xuanjun Lu, Wenfeng He, Chao Tang, Dacheng Yang, Shaohua Li, Feng Shi, Huan Lin, Zipei Li, Anant Madabhushi, Xiangtian Zhao, Zaiyi Liu, Cheng Lu

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Candidate SNP markers of changes in the expression levels of the human <i>SCN9A</i> gene as a hub gene for pain generation, perception, response and anesthesia by P. A. Dotsenko, K. A. Zolotareva, R. A. Ivanov, I. V. Chadaeva, N. L. Podkolodnyy, V. A. Ivanisenko, P. S. Demenkov, S. A. Lashin, M. P. Ponomarenko

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Investigation of the Performance of a Sb2S3-Based Solar Cell with a Hybrid Electron Transport Layer (h-ETL): A Simulation Approach Using SCAPS-1D Software by Pierre Gérard Darel Kond Ngue, Ariel Teyou Ngoupo, Aimé Magloire Ntouga Abena, François Xavier Abomo Abega, Jean-Marie Bienvenu Ndjaka

“…In order to reduce current leakage and improve electron transfer in solar cells, charge transport layers (CTL), mainly hybrid electron transport layers (h-ETL), are considered as a solution. In this research contribution, computational analysis using SCAPS-1D software is performed to explore the output photovoltaic parameters of a Sb2S3-based solar cell with h-ETL. …”
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The Hubble Space Telescope Survey of M31 Satellite Galaxies. IV. Survey Overview and Lifetime Star Formation Histories by Alessandro Savino, Daniel R. Weisz, Andrew E. Dolphin, Meredith J. Durbin, Nitya Kallivayalil, Andrew Wetzel, Jay Anderson, Gurtina Besla, Michael Boylan-Kolchin, Thomas M. Brown, James S. Bullock, Andrew A. Cole, Michelle L. M. Collins, M. C. Cooper, Alis J. Deason, Aaron L. Dotter, Mark Fardal, Annette M. N. Ferguson, Tobias K. Fritz, Marla C. Geha, Karoline M. Gilbert, Puragra Guhathakurta, Rodrigo Ibata, Michael J. Irwin, Myoungwon Jeon, Evan N. Kirby, Geraint F. Lewis, Dougal Mackey, Steven R. Majewski, Nicolas Martin, Alan McConnachie, Ekta Patel, R. Michael Rich, Evan D. Skillman, Joshua D. Simon, Sangmo Tony Sohn, Erik J. Tollerud, Roeland P. van der Marel

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Influence of injection technique, drug formulation and tumor microenvironment on intratumoral immunotherapy delivery and efficacy by Patrick Hwu, Ravi Murthy, Aung Naing, Sapna P. Patel, Simon Young, Alda Tam, Nina M. Muñoz, Malea Williams, Katherine Dixon, Crystal Dupuis, Amanda McWatters, Rony Avritscher, Soraya Zorro Manrique, Kevin McHugh, David Leach, Jeffrey D. Hartgerink, Punit Prakash, Rahul A. Sheth

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Comprehensive health risk assessment of urban ambient air pollution (PM2.5, NO2 and O3) in Ghana by Boansi Adu Ababio, Gerheart Winfred Ashong, Thomas Peprah Agyekum, Blessed Adjei Yeboah, Marian Asantewah Nkansah, Jonathan Nartey Hogarh, Michael Kweku Commeh, Edward Ebow Kwaansa-Ansah, Kwabena Dabie, Felix Adulley, Eldad Boansi, Lorenda Sarbeng, Birago Adu Ababio, Maame Serwaa Boapea, Nana Kwabena Oduro Darko, Meshach Kojo Appiah

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AICpred: Machine Learning-Based Prediction of Potential Anti-Inflammatory Compounds Targeting TLR4-MyD88 Binding Mechanism by Lucindah N. Fry-Nartey, Cyril Akafia, Ursula S. Nkonu, Spencer B. Baiden, Ignatus Nunana Dorvi, Kwasi Agyenkwa-Mawuli, Odame Agyapong, Claude Fiifi Hayford, Michael D. Wilson, Whelton A. Miller, Samuel K. Kwofie

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African army ants at the forefront of virome surveillance in a remote tropical forest by Fritz, Matthieu, Reggiardo, Bérénice, Filloux, Denis, Claude, Lisa, Fernandez, Emmanuel, Mahé, Frédéric, Kraberger, Simona, Custer, Joy M., Becquart, Pierre, Mebaley, Telstar Ndong, Kombila, Linda Bohou, Lenguiya, Léadisaelle H., Boundenga, Larson, Mombo, Illich M., Maganga, Gael D., Niama, Fabien R., Koumba, Jean-Sylvain, Ogliastro, Mylène, Yvon, Michel, Martin, Darren P., Blanc, Stéphane, Varsani, Arvind, Leroy, Eric, Roumagnac, Philippe

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Clinical impact of [18F]FDG-PET/CT in ARI0002h treatment, a CAR-T against BCMA for relapsed/refractory multiple myeloma by Inés Zugasti, Marta Tormo-Ratera, Aina Oliver-Caldés, Juan Carlos Soler-Perromat, Verónica González-Calle, David F. Moreno, Valentín Cabañas, Nieves López-Muñoz, Álvaro Bartolomé-Solanas, Marta Español-Rego, Juan Luis Reguera-Ortega, Laura Rosiñol, Lucía López-Corral, Natalia Tovar, Luis Gerardo Rodríguez-Lobato, Rosa Maria Alvarez Perez, Sara Varea, Eulàlia Olesti, Adolfo Gomez-Grande, Laura Frutos, Pilar Tamayo, Manel Juan, José M. Moraleda, Álvaro Urbano-Ispizua, E. Azucena González-Navarro, Joaquín Martínez-López, Maria-Victoria Mateos, Xavier Tomás, Xavier Setoain, Carlos Fernández de Larrea

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