Integrating Machine Learning for Enhanced Agricultural Productivity: A Focus on Bananas and Arecanut in the Context of India’s Economic Growth by B. S. Saruk, G. Mokesh Rayalu

“…Assist yield projections may provide governments and policymakers with valuable information to make well-informed choices about food security, import–export policies, and resource allocation. …”
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Preliminary Study on Real-Time Phonocardiogram Signal Acquisition and Analysis Using Machine Learning and IoMT for Digital Stethoscope by M. Kalimuthu, C. Hemanth

“…Since most heart-related problems are reflected by the small variations in the heart’s sounds, quality research into heart rhythm will provide valuable health information that may identify and treat cardiac-related issues and disorders. …”
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On Complexities of Impact Simulation of Fiber Reinforced Polymer Composites: A Simplified Modeling Framework by M. Alemi-Ardakani, A. S. Milani, S. Yannacopoulos

“…Different numerical algorithms have been developed over the past decades for impact modeling of composites, yet a considerable gap often exists between predicted and experimental observations. …”
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Tirzepatide safety in type 2 diabetes: a disproportionality analysis of adverse events using the FDA FAERS database by Zhenpo Zhang, Jiangxiong Li, Jingping Zheng, Yankun Liang, Lin Ma, Ling Su

“…A disproportionality analysis was conducted on reports from May 2022 to the fourth quarter of 2024. Reports were deduplicated, normalized using standardized medical terminology, and analyzed using four disproportionality analysis algorithms. …”
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Identifying the optimal number of topics in text mining: a case study on reindeer pastoralism literature by Barbara Contiero, Øystein Holand, Giulio Cozzi

“…Text mining and topic analysis algorithms which group textual contents in the most efficient way, are becoming increasingly useful to summarise the main information contained in large data corpus of complex scientific fields. …”
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NeuroMorse: a temporally structured dataset for neuromorphic computing by Ben Walters, Yeshwanth Bethi, Taylor Kergan, Binh Nguyen, Amirali Amirsoleimani, Jason K Eshraghian, Saeed Afshar, Mostafa Rahimi Azghadi

“…This gap may lead to evaluations that fail to fully capture the unique strengths and characteristics of neuromorphic systems. …”
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Supporting self-management with an internet intervention for low back pain in primary care: a RCT (SupportBack 2) by Adam W A Geraghty, Taeko Becque, Lisa C Roberts, Jonathan Hill, Nadine E Foster, Lucy Yardley, Beth Stuart, David A Turner, Gareth Griffiths, Frances Webley, Lorraine Durcan, Alannah Morgan, Stephanie Hughes, Sarah Bathers, Stephanie Butler-Walley, Simon Wathall, Gemma Mansell, Malcolm White, Firoza Davies, Paul Little

“…Internet-delivered interventions may provide rapid and scalable support for behavioural self-management. …”
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Empowering Community Health Workers With Scripted Medicine: Design Science Research Study by Dario Staehelin, Damaris Schmid, Felix Gerber, Mateusz Dolata, Gerhard Schwabe

“…Community health workers (CHWs) may mitigate the shortages of professional health care workers. …”
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Reducing Safety Risks in Construction Tower Crane Operations: A Dynamic Path Planning Model by Binqing Cai, Zhukai Ye, Shiwei Chen, Xun Liang

“…Poor judgement and bad path planning may increase safety risks and even cause severe construction safety accidents. …”
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Identification of subtypes and biomarkers associated with disulfidptosis-related ferroptosis in ulcerative colitis by Yinghao Jiang, Hongyan Meng, Xin Zhang, Jinguang Yang, Chengxin Sun, Xiaoyan Wang

“…Next, the hub genes were identified by differential analysis and WGCNA algorithms, and three machine learning algorithms were used to screen biomarkers for UC from hub genes. …”
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A comprehensive review of artificial intelligence approaches for smart grid integration and optimization by Malik Ali Judge, Vincenzo Franzitta, Domenico Curto, Andrea Guercio, Giansalvo Cirrincione, Hasan Ali Khattak

“…The use of advanced forecasting and metaheuristic algorithms can potentially handle the stochastic nature of renewable energy production and load demand.…”
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Development and Validation of a Clinical Risk Model for Predicting Malignancy in Patients with Thyroid Nodules by Shiva Borzouei, Ali Safdari, Erfan Ayubi

“…Generally, there was no difference among the six ML algorithms in terms of prognostic performance; however, the prognostic parameters of GLM and LDA algorithms were higher than the others. …”
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Predictive analysis of heart disease using quantum-assisted machine learning by Mehroush Banday, Sherin Zafar, Parul Agarwal, M. Afshar Alam, Siddhartha Sankar Biswas, Imran Hussain, K. M. Abubeker

“…The prevailing development of quantum computing and machine learning (ML) technologies may bring practical improvement to the performance of CHD diagnosis. …”
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A genetic association study of serum acute-phase C-reactive protein levels in rheumatoid arthritis: implications for clinical interpretation. by Benjamin Rhodes, Marilyn E Merriman, Andrew Harrison, Michael J Nissen, Malcolm Smith, Lisa Stamp, Sophia Steer, Tony R Merriman, Timothy J Vyse

“…CRP is increasingly being incorporated into clinical algorithms to compare disease activity between patients and to predict future clinical events: our findings impact on the use of these algorithms. …”
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Evaluating and Forecasting the Probability of Lightning Occurrence in Rasht City by Afsaneh Ghasemi, Jamil Amanollahi

“…Based on the results, the probability of lightning occurrence is the highest in spring (May and June) and summer (July); it is minimized in winter and has a decreasing trend. …”
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The impact of artificial intelligence on medical diagnostics: A letter to the editor by Sahar Imtiaz, Sheikh Abdul Qadir Jillani

“…This allows for more accurate and timely diagnoses, as AI algorithms can detect subtle patterns and anomalies that may not be visible to human observers. …”
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Guideline Directed Anticoagulant Treatment and Dosing in a Contemporary Atrial Fibrillation Cohort: Analysis of the TRANSECT-AF Program by Cole Clifford, MD, Shaun G. Goodman, MD, MSc, Mary K. Tan, MSc, Jean Gregoire, MD, Jeffrey Habert, MD, Anil Gupta, MD, Walter Chow, MD, Shahin Jaffer, MD, MHSc, Sandeep G. Aggarwal, MD, Michael Heffernan, MD, Robert Maranda, MD, Kevin Saunders, MD, Andrew T. Yan, MD, Sandeep Aggarwal, Grant Campbell, Tony Ford, Allan Kelly, Michael Kroetsch, Jean-Pierre Leung, Indra Patel, Qaiser Rizvi, Matthew Wong, Andrew Wong, Jessica Chan, Kenneth Cho, Walter Chow, Daniel Ezekiel, Shahin Jaffer, Al Karmali, Parbhoobhai Lakhoo, Dante Manyari, Tun Zan Maung, Laura Ozolins, Ameet Parikh, Walter Salmaniw, Masoud Shahrokhi, Alex She, Kanwarinder Sidhu, Raymond Simkus, Felix Tam, Richard Van Gend, Jeffrey T. Wang, Jonathan Wiltshire, Felix Yang, David Yoon, Daljit Gill, David Haligowski, Yatish Kotecha, Abraham C. Mare, Pravinsagar Mehta, Sunilkumar Patel, Kevin Saunders, Gilbert Blanchard, Steve Kenney, Oluwasyo Olatunde, Gary Rideout, William Booth, Adam Clarke, Malcolm Lawrence Macneil, Vineeta Ahooja, Lina Alkasm, Edgard Arcia-Bravo, Ogunroti Ayibiowu, Basel Bari, Parvinder Bath, Rani Beharry, Rajendra Beharry, Ira Bernstein, Mukesh Bhargava, Leon Bhatia, Harry Birman, Brent Bukovy, Craig Campagna, Claudius Che, Richard Chen, Michael Cheng, Grace Chua, Kim Connelly, Michael Csanadi, Maynard Luterman, Gregory Curnew, Shyamali Damboragama, Sampa Das, Selwyn De Souza, Nicole Desmarais, Debbie Dyke, Fadia El Boreky, Sameh Fikry, Ken Florence, Omayma Fouda, Melody Fox, Gissou Ghadirian, Magdy Girgis, Steven Grossman, Anil Gupta, Nassoh Hafez, Adnan Hameed, Brian Hartford, Michael Heffernan, Terry Holman, Brendan Hughes, Harry Jim, David Josephson, Amjad Junaid, Bharat Kalra, Nikolay Kaplan, Saleem Kassam, Aubrey Kassirer, Tammy Kauffman-Schenker, Hashmat Khan, Natan Khotianov, Myung-Gi Kim, Kinga Koprowicz, Joseph Kozak, Naresh Kumar, Adel Kyrollos, Andy Lam, David Lam, Howard Lamb, Ming Jarm Lau, Doris Lee, Christina Lo, Giridhar Logsetty, Victoria Malevich, Robert Maranda, Rohit Nagpal, Farah Nasser-Sharif, Ken H. Ng, Parminder Nizran, Luis Noronha, Huma N. Numair, Paul O. Oladipo, Chris Overgaard, Derek Papastergiou, Fred Parker, Keyvan Pazuki, Murray Pearce, Sean Peterson, Mohammed Rahman, Felice Emilio Raimondo, Tim Remillard, Gerald Rockman, Howard Rudner, Roland Sabbagh, Ashraf Salib, Raymond Sawkiw, Earl Schwartz, Shiraz Shariff, Ivan Shcherbatykh, Mike Chungming Shih, Sewa Ram Singal, Sol Stern, Ravi Tahiliani, Manoj Tahiliani, Arawn Therrien, Bill Tillmann, Camelia Trambitas, Andrew Trevor, Jeff Tschirhart, Shera Vania, Elisa Venier, Vinod Verma, George Vertes, David Walley, Hany William, Amy Wong, Kevin Yoong, Derek Yung, Ines Zepic, Dean Zizzo, Harold Molyneaux, Paul Phelan, Martin Albert, Jean Champagne, Jacques Desroches, Danielle Dion, Richard Dumouchel, Carl Fournier, Mario Labbe, Germain Savard, Dan Dattani, Cecil Hammond, Andrea Lavoie, Omar Sultan

“…Our analysis describes predictors of guideline discordant anticoagulation and DOAC dosing that may be used to identify target populations for future quality improvement initiatives in AF thromboprophylaxis. …”
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exoALMA. IX. Regularized Maximum Likelihood Imaging of Non-Keplerian Features by Brianna Zawadzki, Ian Czekala, Maria Galloway-Sprietsma, Jaehan Bae, Marcelo Barraza-Alfaro, Myriam Benisty, Gianni Cataldi, Pietro Curone, Stefano Facchini, Daniele Fasano, Mario Flock, Misato Fukagawa, Himanshi Garg, Cassandra Hall, Thomas Hilder, Jane Huang, John D. Ilee, Andrea Isella, Andrés F. Izquierdo, Kazuhiro Kanagawa, Geoffroy Lesur, Cristiano Longarini, Ryan A. Loomis, Ryuta Orihara, Christophe Pinte, Daniel J. Price, Giovanni Rosotti, Jochen Stadler, Richard Teague, Hsi-Wei Yen, Gaylor Wafflard-Fernandez, David J. Wilner, Andrew J. Winter, Lisa Wölfer, Tomohiro C. Yoshida

“…As these features are often small and low-contrast, robust imaging procedures are critical for identifying and characterizing NKFs, including determining which features may be signatures of young planets. The exoALMA collaboration employed two different imaging procedures to ensure the consistent detection of NKFs: CLEAN, the standard iterative deconvolution algorithm, and regularized maximum likelihood (RML) imaging. …”
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Optimizing Inotropic Infusion With Cluster Specific AI Decision Models and Digital Twins by Vidya S Nair, G. D. Heshan Niranga, Aryalakshmi C.S, Dipu T. Sathyapalan, Thushara Madathil, Rahul Krishnan Pathinarupothi

“…Conventional feedback controllers, including fuzzy logic controllers (FLC), struggle to adapt to complex BP variations due to fixed algorithms and intracohort variability in drug responses. …”
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COMBINED ANALYSIS OF LINKAGE AND WHOLE EXOME SEQUENCING REVEALS CIC AS A CANDIDATE GENE FOR ISOLATED DYSTONIA by Barış Salman, Emrah Yücesan, Bedia Samancı, Başar Bilgiç, Haşmet Ayhan Hanağası, İbrahim Hakan Gürvit, Uğur Özbek, Sibel Aylin Uğur İşeri

“…An in-house pipeline compiled for WES analysis along with in-depth in silico prediction algorithms were used to assess the associated data produced in this study. …”
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