Balanced Performance Merit on Wind and Solar Energy Contact With Clean Environment Enrichment by Priyan Malarvizhi Kumar, M. M. Kamruzzaman, Badria Sulaiman Alfurhood, Bakri Hossain, Harikumar Nagarajan, Surendar Rama Sitaraman

“…Techniques: Artificial Neural Network-Based Expert Systems are used to predict the plant response in the environment, which is the response to the humidity, light radiation, and temperature. …”
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Ultrasound Features of <i>Helicobacter pylori</i>-Related Gastritis by Fulvia Terracciano, Antonella Marra, Veronica Nassisi, Chiara Lillo, Fabrizio Bossa, Sonia Carparelli, Francesco Cocomazzi, Maria Rosa Valvano, Giuseppe Losurdo, Alfredo Di Leo, Francesco Perri

“…The objective of this study is to characterize the ultrasound features of <i>H. pylori</i>-induced gastritis and assess its predictive potential role for this condition. <b>Methods</b> A cohort of 119 patients underwent gastroscopy with biopsy and abdominal US to evaluate antral wall thickness (AWT), submucosal wall thickness (SLT), mucosal wall thickness (MLT), gastric motility, and the presence of ingested material. …”
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Explaining the γγ + X excesses at ≈151.5 GeV via the Drell-Yan production of a Higgs triplet by Saiyad Ashanujjaman, Sumit Banik, Guglielmo Coloretti, Andreas Crivellin, Siddharth P. Maharathy, Bruce Mellado

“…However, the latter is inconsistent with the mass predicted by the multi-lepton anomalies and is in close proximity to the SM Higgs mass, suggesting the possibility of enhanced associated production of the SM Higgs.…”
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VR-based body tracking to stimulate musculoskeletal training by Neidhardt M., Gerlach S., Schmidt F. N., Fiedler I. A. K., Grube S., Busse B., Schlaefer A.

“…In this work, we evaluate whether the movement data of the HoloLens 2 alone is sufficient to control and predict body movement and joint angles during musculoskeletal training.We record the movements of 10 healthy volunteers with external tracking cameras and track a set of body and joint angles of the participant during training. …”
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AI-Driven Plant Health Assessment: A Comparative Analysis of Inception V3, ResNet-50 and ViT with SHAP for Accurate Disease Identification in Taro by Valeria Maeda-Gutiérrez, Juan José Oropeza-Valdez, Luis C. Reveles-Gómez, Cristian Padron-Manrique, Osbaldo Resendis-Antonio, Luis Octavio Solís-Sánchez, Hector A. Guerrero-Osuna, Carlos Alberto Olvera Olvera

“…The explainability of Inception V3 was further enhanced using SHAP, which provides insights by dissecting the contributions of individual features in Taro leaves to the model’s predictions. This approach facilitates a deeper understanding of the disease classification process and supports the development of effective disease management strategies, ultimately contributing to improved Taro cultivation practices.…”
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Understanding the formation of a low-pressure pedestal in the presence of a strong internal transport barrier in DIII-D high βp plasmas by X.R. Zhang, X. Jian, Y.R. Zhu, Y.P. Zou, Z.Y. Li, Y.J. Zhou, L.Z. Liu, S. Zheng, Z.X. Wang, W. Chen, S.Y. Ding, A.M. Garofalo, V.S. Chan, G.Q. Li

“…Under such a low pedestal, linear simulations with BOUT++ predict the growth rates of peeling–ballooning modes to be lower across the whole toroidal mode number spectra, and the nonlinear BOUT++ simulation exhibits lower saturated fluctuation intensity as well, consistent with the experimentally observed lower ELM size.…”
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Nanotherapeutic smart approaches for combating Alzheimer’s disease and overcoming existing obstacles: A novel eco-friendly green approach by Ahmed M. Almehdi, Doha H. Aboubaker, Rania Hamdy, Ali El-Keblawy

“…The scientific community has united to raise awareness of Alzheimer's disease (AD) as a critical condition for future generations because recent predictions indicate that it will become common among the elderly within a few years. …”
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Maternal Hyperglycemia Directly and Rapidly Induces Cardiac Septal Overgrowth in Fetal Rats by Erin E. Gordon, Benjamin E. Reinking, Shanming Hu, Jianrong Yao, Kok L. Kua, Areej K. Younes, Chunlin Wang, Jeffrey L. Segar, Andrew W. Norris

“…Cardiac septal overgrowth complicates 10–40% of births from diabetic mothers, but perplexingly hyperglycemia markers during pregnancy are not reliably predictive. We thus tested whether fetal exposure to hyperglycemia is sufficient to induce fetal cardiac septal overgrowth even in the absence of systemic maternal diabetes. …”
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The role of 5G network in revolutionizing agriculture for sustainable development: A comprehensive review by Wasif ur Rehman, Mohsin Ali Koondhar, Samandar Khan Afridi, Lutfi Albasha, Idris H. Smaili, Ezzeddine Touti, Mouloud Aoudia, Wassim Zahrouni, Ibrahim Mahariq, M.M.R. Ahmed

“…Furthermore, the paper examines the potential impact of 5G technology on crucial agricultural tasks such as real-time monitoring, UAV operations, augmented reality (AR), virtual reality (VR) applications, virtual consultation, predictive maintenance, AI-driven robotics, and data analytics. …”
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FAM210B activates STAT1/IRF9/IFIT3 axis by upregulating IFN-α/β expression to impede the progression of lung adenocarcinoma by Xuejuan Gao, Donglan Huang, Ying Liu, Gui Zhang, Xiaofen Zheng, Baiye Guan, Aiwen Chen, Jiayao Wu, Shi-Ming Luo, Zonghua Liu, Luxuan Chen, Xiaohui Liu, Jingjie Jin, Xingfeng Yin, Zhenghua Sun, Yunfang Zhang, Meizhi Lu, Gong Zhang, Wanting Liu, Langxia Liu

“…Analyses of public datasets revealed that decreased expression of FAM210B predicts poor survival. Accordingly, in vitro and in vivo studies have confirmed the inhibitory role of FAM210B on the growth and tumor metastasis of LUAD cells. …”
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Integrating Explainable Artificial Intelligence With Advanced Deep Learning Model for Crowd Density Estimation in Real-World Surveillance Systems by Sultan Refa Alotaibi, Hanan Abdullah Mengash, Mohammed Maray, Faiz Abdullah Alotaibi, Abdulwhab Alkharashi, Ahmad A. Alzahrani, Moneerah Alotaibi, Mrim M. Alnfiai

“…Incorporating XAI models provides clear, understandable insights into predictions, ensuring more actionable and reliable crowd management. …”
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Circulating MicroRNAs in Elderly Type 2 Diabetic Patients by Giuseppina Catanzaro, Zein Mersini Besharat, Martina Chiacchiarini, Luana Abballe, Claudia Sabato, Alessandra Vacca, Paola Borgiani, Francesco Dotta, Manfredi Tesauro, Agnese Po, Elisabetta Ferretti

“…The translational implications are as immediate as evident, with the possibility to develop noninvasive diagnostic tools to predict drug response and development of chronic complications.…”
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T-Cell Subsets in Rheumatoid Arthritis Patients on Long-Term Anti-TNF or IL-6 Receptor Blocker Therapy by Sonja Dulic, Zsófia Vásárhelyi, Florentina Sava, László Berta, Balázs Szalay, Gergely Toldi, László Kovács, Attila Balog

“…The important findings are the following: (1) the proportion of regulatory T-cells (Tregs) which are decreased in untreated RA patients becomes normal in all long-term-treated groups; (2) in anti-TNF responders as well as in nonresponders, the frequencies of naïve CD4+ and CD8+ cells are lower, whereas those of proinflammatory Th1, Th2, and Th17 cells and HLA-DR+-activated cells are higher than those in untreated RA or healthy controls; (3) in IL-6R responders, Th1 proportion is decreased, while that of Th2 and Th17 is increased as compared to that in anti-TNF-treated patients and controls; (4) pending confirmation, a CD4CD69 ratio < 2.43 at baseline, could be useful to predict a good therapeutic response to anti-TNF therapy. …”
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Measurement through structural equations of the self-concept instrument in high-school students by Angel Ramón Sabando-García, Oswaldo José Jiménez-Bustillo, Lidia Janeth Llacsa-Puma, Graciela Josefina Castro-Castillo, Jenniffer Sobeida Moreira-Choez, Raúl Alberto Rengifo-Lozano

“…Despite its importance, gaps remain in the validation of measurement instruments tailored to specific educational contexts.MethodsThis study employed a quantitative, predictive, and correlational methodology with a non-experimental cross-sectional design. …”
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Catalytic Synthesis of Diethyl Carbonate from Carbon Dioxide using Catalyst KI/EtONa with Propylene Oxide as Dehydration Agent and Process Optimization Based on Box-Behnken Design by Lintang Alivia Anggerta, Firman Kurniawansyah, Rizky Tetrisyanda, Gede Wibawa

“…So, this parameter process synthesis was also optimized with the Box-Bhenken Design (BBD) method to get optimal conditions and an equation to predict the yield of DEC. As confirmed with the BBD method, an initial pressure of CO2 40 bar, 190oC, and a 3-hour reaction were expected to perform optimized processing.…”
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In-Depth Partial Discharge Inception Voltage Analysis in Laminated Busbar by Means of Experimentations and Simulations by Oussama Abdel Illah Rahmouni, Sonia Ait-Amar, Stephane Duchesne, Jean-Francois Wecxsteen

“…It was also found that the model based on Paschen&#x2019;s criteria is capable of accurately predicting PDIV in LBB samples as a function of both temperature as well as pressure. …”
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Early Detection of Multiwavelength Blazar Variability by Hermann Stolte, Jonas Sinapius, Iftach Sadeh, Elisa Pueschel, Matthias Weidlich, David Berge

“…Notable examples include identifying a flaring episode in real time and predicting VHE flaring activity based on lower-energy observables. …”
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The Impact of Entrepreneurship and Mental Accounting on Business Sustainability: Exploring the Influence of Financial Performance by Sri Mulyani, Rahmawati Rahmawati, Djuminah Djuminah, Evi Gantyowati, Endang Dwi Amperawati

“…The quantitative methodology relies on the Partial Least Squares Structural Equation Modeling (PLS-SEM) to predict and confirm the relationships among variables. …”
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Differentiating Malignant from Tubercular Pleural Effusion by Cancer Ratio Plus (Cancer Ratio: Pleural Lymphocyte Count) by Akash Verma, Rucha S. Dagaonkar, Dominic Marshall, John Abisheganaden, R. W. Light

“…We performed prospective validation of the cancer ratio (serum LDH : pleural ADA ratio), previously reported as predictive of malignant effusion retrospectively, and assessed the effect of combining it with “pleural lymphocyte count” in diagnosing malignant pleural effusion (MPE). …”
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Use of stepwise m5 model tree to forecast the P24max based on teleconnection indices by Golnar Ghanbarzadeh, Khalil Ghorbani, Meysam Salarijazi, Chooghi Bairam Komaki, Laleh Rezaei Ghaleh

“…The stepwise execution of the M5 model tree showed that the algorithm follows a greedy approach, and it is not necessary to use all variables to predict P24max. The normalized root mean square error (NRMSE) of P24max estimation was found to be 15%, 13%, 15%, 8%, 20%, 14%, and 12% with the coefficients of determination of 0.78, 0.79, 0.72, 0.85, 0.81, 0.82, and 0.84 in Hashemabad‐Gorgan, Rasht, Kermanshah, Ahvaz, Bandar Abbas, Isfahan, and Birjand, respectively. …”
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