A review of machine learning applications in heart health by Ava Perrone, Taghi M. Khoshgoftaar

“…This review contributes an analysis of current machine learning methods in stroke and heart attack research, highlighting key gaps such as limited use of multimodal data, external validation, and class imbalance mitigation. …”
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Analyzing public policy effectiveness in enhancing accountability and transparency in service quality by Andi Rasyid Pananrangi, Imran ismail, Delly Mustafa, Askar Askar, A Rizal

“…Using qualitative research methods, this study employs a literature study approach with a systematic selection of relevant sources, including peer-reviewed journals, government reports, and policy documents. …”
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Assessing the Genetic and Environmental Factors on Egg Amino Acid Traits in Chickens: A Review by Dipson Gyawali, Tatsuhiko Goto

“…Eggs are good sources of animal proteins. Methods for creating designer eggs are attractive to scientists and producers of the eggs, in order to fulfill customers’ demands. …”
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SmartExplorer1.0: A Novel Intelligent Framework for Path Planning in Robotics by Chiara Furio, Angelo Ugenti, Giulio Reina, Mario Massimo Foglia, Luciano Lamberti

“…Compared to traditional methods such as A<inline-formula> <tex-math notation="LaTeX">${}^{\ast }$ </tex-math></inline-formula> or the Artificial Potential Field (APF), and modern metaheuristic methods such as Rapidly-Exploring Random Tree <inline-formula> <tex-math notation="LaTeX">$\ast $ </tex-math></inline-formula> (RRT<inline-formula> <tex-math notation="LaTeX">$\ast $ </tex-math></inline-formula>), SE1.0 offers superior adaptability. …”
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Detection and quantification of methane plumes with the MethaneAIR airborne spectrometer by L. Guanter, L. Guanter, J. Warren, M. Omara, A. Chulakadabba, A. Chulakadabba, J. Roger, M. Sargent, J. E. Franklin, S. C. Wofsy, R. Gautam

“…We evaluated the performance of this processing scheme with simulated plumes, intercomparison with other methods, and controlled methane releases. We applied this processing chain to MethaneAIR data mosaics acquired over the Permian Basin during flights in 2021 and 2023, which resulted in the detection of hundreds of point sources above 100–200 kg h<span class="inline-formula">⁻¹</span>, with a conservative detection limit of around 120 kg h<span class="inline-formula">⁻¹</span>. …”
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A decision support system for integration of decarbonization strategies in the oil refining industry by Abdolvahhab Fetanat, Mohsen Tayebi

“…Therefore, this work aims at developing an intelligent decision support system (DSS) for choosing and implementing a sustainable and optimal combination of decarbonization strategies in the studied industry.The proposed DSS involves the weights by envelope and slope (WENSLO) and Bernardo methods under the m-polar fuzzy N-soft (mFNS) information. …”
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Evaluating energy efficiency in Turkish electric distribution using network DEA and GA models by Serpil Aydin, Talat Şenel

“…This shows that Sakarya EDC operates optimally and is a benchmark for other companies in the sector. …”
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Transition of Adolescents with Chronic Kidney Disease to Adult Health Service: Scoping Review by Elena N. Kulakova, Tatjana L. Nastausheva, Inna V. Kondratjeva, Tatjana G. Zvyagina, Maria P. Koltakova

“…The majority of publications types were original scientific studies (retrospective observational studies, questionnaire surveys, qualitative and mixed methods studies with interviewing) and narrative reviews. …”
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A robust pressure drop prediction model in vertical multiphase flow: a machine learning approach by Fahd Saeed Alakbari, Mohammed Abdalla Ayoub, M. A. Awad, Tarek Ganat, Mysara Eissa Mohyaldinn, Syed Mohammad Mahmood

“…Abstract Predicting pressure drop in multiphase flow is crucial for optimizing tubing size, wellhead pressure (WHP), completion design, cost management, and other production-phase objectives. …”
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Enhancing wheat productivity utilizing nano- and bio-fertilizers in water-scarce Sinai, Egypt, under different irrigation systems by Emad Fawy Mostafa, Eman Ibrahim Refaie Emara, Radwa Hassan Bakr, Khaled Gaber Abdel Azim, Lamy Mamdoh Mohamed Hamed

“…These findings provide valuable insights for optimizing wheat production in water-scarce regions, considering irrigation methods, crop water requirements, and nitrogen fertilization sources.…”
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Enhancing Crop Type Mapping in Data-Scarce Regions Through Transfer Learning: A Case Study of the Hexi Corridor by Jingjing Mai, Qisheng Feng, Shuai Fu, Ruijing Wang, Shuhui Zhang, Ruoqi Zhang, Tiangang Liang

“…The results demonstrated that during the transfer learning process using only source domain data—without utilizing any target domain data—the overall classification accuracy reached 73.88%, with optimal accuracies for maize and alfalfa at 88.97% and 85.23%, respectively. …”
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Enhanced Sliding Mode Control for Dual MPPT Systems Integrated with Three-Level T-Type PV Inverters by Farzaneh Bagheri, Jakson Bonaldo, Naki Guler, Marco Rivera, Patrick Wheeler, Rogerio Lima

“…The combination of these methods ensures faster and stable tracking under dynamic irradiance conditions. …”
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Consumer-oriented review of digital diabetes prevention programs: insights from the CDC’s diabetes prevention recognition program by Benjamin Lalani, Jalene Shim, Vidhu Vadini, Yllka Valdez, Daniel Zade, Nestoras Mathioudakis

“…This review provides an overview of the dDPP landscape and characterizes the “direct-to-consumer” information available–or lacking–for patients choosing a dDPP.MethodsWe identified dDPPs through the CDC Diabetes Prevention Recognition Program (DPRP) Registry. …”
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Grain Seed Treatment by a Low-Frequency Electromagnetic Field by A. S. Dorokhov, M. E. Chaplygin, A. G. Aksenov, L. S. Shibryaeva, N. D. Blinov, A. S. Chulkov, A. V. Podzorov

“…(Research purpose) The study aims to investigate the influence of low-frequency electromagnetic field on the composition and properties of grain seeds. (Materials and methods) Standard emitters, characterized by a magnetic induction variability of 3-75 millitesla and a radiation frequency of 1-100 Hertz, were employed to ensure the necessary treatment parameters for a batch of seeds. …”
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NONCONVENTIONAL TECHNIQUE TO MAKE BOROSILICATE GLASS FROTH by Lucian Paunescu, Sorin Mircea Axinte, Bogdan Valentin Paunescu

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A New Algorithm for the Global-Scale Quantification of Volcanic SO₂ Exploiting the Sentinel-5P TROPOMI and Google Earth Engine by Maddalena Dozzo, Alessandro Aiuppa, Giuseppe Bilotta, Annalisa Cappello, Gaetana Ganci

“…Sulfur dioxide (SO₂) is sourced by degassing magma in the shallow crust; hence its monitoring provides information on the rates of magma ascent in the feeding conduit and the style and intensity of eruption, ultimately contributing to volcano monitoring and hazard assessment. …”
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Investigating the hydrogen renaissance in the global energy transition with AI integration by Abderrahim Lakhouit

“…AI plays a pivotal role in optimizing hydrogen production methods, such as electrolysis, by enhancing process efficiencies through machine learning models that predict and optimize operational parameters. …”
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Polyphenols Investigation and Antioxidant and Anticholinesterase Activities of <i>Rosmarinus officinalis</i> L. Species from Southwest Romania Flora by Ludovic Everard Bejenaru, Andrei Biţă, George Dan Mogoşanu, Adina-Elena Segneanu, Antonia Radu, Maria Viorica Ciocîlteu, Cornelia Bejenaru

“…Total phenolic content was determined using the spectrophotometric method. In situ antioxidant and anticholinesterase activities were evaluated using 2,2-diphenyl-1-picrylhydrazyl (DPPH) and AChE inhibitory assay, respectively, on high-performance thin-layer chromatography (HPTLC) plates. …”
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Small RNAs in plasma extracellular vesicles define biomarkers of premanifest changes in Huntington's disease by Marina Herrero‐Lorenzo, Jesús Pérez‐Pérez, Georgia Escaramís, Saül Martínez‐Horta, Rocío Pérez‐González, Elisa Rivas‐Asensio, Jaime Kulisevsky, Ana Gámez‐Valero, Eulàlia Martí

“…Here, using an optimized method for plasma extracellular vesicles (EVs) purification and an exhaustive analysis pipeline of sRNA sequencing data, we show that EV‐sRNAs are downregulated early in mutation carriers and that this deregulation is associated with premanifest cognitive performance. …”
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Numerical simulation and experimental study of the temperature field of AlCoCrFeNi2.1 by selective laser melting by Congcong YUE, Ruixiang ZHANG, Wanting SUN, Dongzhou JIA, Ying FU, Xiangqing KONG

“…However, as the demand for components in the aerospace sector continues to rise, traditional processing methods, such as casting technology, are no longer sufficient for producing complex parts. …”
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