Photoplethysmography and Artificial Intelligence for Blood Glucose Level Estimation in Diabetic Patients: A Scoping Review by Sara Lombardi, Leonardo Bocchi, Piergiorgio Francia

“…Only publications concerning PPG signal analysis using AI algorithms for noninvasive estimation of BGL in patients with diabetes were considered. …”
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Prediction and optimization of hardness in AlSi10Mg alloy produced by laser powder bed fusion using statistical and machine learning approaches by İnayet Burcu Toprak

“…In addition, Machine Learning algorithms were applied to predict hardness values. …”
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Harnessing Digital Twin Technology for Detailed Simulation and Analysis of Climate Impact on Agricultural Systems by Hassan Muntather Muhsin, Ramadan Ghazi Mohamad, Karthikeyan R.

“…The model incorporates real time data collection and well developed, yet still new, algorithms like random forest to enable real time analysis, as well as realistic prediction using system simulation models to yield highly useful and actionable insights. …”
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Infections Caused by Carbapenem-Resistant Enterobacterales: Epidemiology, Clinical Significance, and Possibilities for Antibiotic Therapy Optimization by S. V. Yakovlev, M. P. Suvorova, A. O. Bykov

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Climate risk and low-carbon policies: implications for sports economics and global events by Siyu Fu, Chen Kong

“…ICSF, on the other hand, leverages game theory and optimization algorithms to enhance decision-making in areas such as resource allocation, salary cap management, and sustainability-oriented strategic planning.ResultsEmpirical results from multiple datasets and experiments confirm that the integration of climate risk and low-carbon policy variables significantly improves the predictive accuracy and resilience of economic planning in the sports sector.DiscussionThis research provides theoretical advancements and practical insights for policymakers, sports managers, and investors seeking to navigate the complex interplay between sustainability and profitability in a rapidly changing global environment.…”
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Identification of the best housekeeping gene for RT-qPCR analysis of human pancreatic organoids. by Alessandro Cherubini, Francesco Rusconi, Lorenza Lazzari

“…In the last few years, there has been a considerable increase in the use of organoids, which is a new three-dimensional culture technology applied in scientific research. The main reasons for their extensive use are their plasticity and multiple applications, including in regenerative medicine and the screening of new drugs. …”
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Deep Insights into AI perception in Croatia by Robert Kopal, Darija Korkut, Krešimir Žnidar

“…Furthermore, the aim of this national research is to provide a deeper insight into the perception of AI within the Croatian population. …”
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Overcoming barriers and ethical challenges in implementing intelligent tutoring systems in Ghanaian higher education by Moses Kumi Asamoah, Jessica Amarteifio

“…Employing an interpretive case study methodology, the research draws on five academic databases, ensuring a comprehensive and extensive search process. …”
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A review on agrowaste based activated carbons for pollutant removal in wastewater systems by Karinate Valentine Okiy, Joseph Nwabanne Tagbo, Walter Peter Echeng

“…The deployment of mathematical and machine learning approaches (ANN and novel GMDH algorithms) in optimization of batch and continuous adsorption processes are also highlighted. …”
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Designing Predictive Analytics Frameworks for Supply Chain Quality Management: A Machine Learning Approach to Defect Rate Optimization by Zainab Nadhim Jawad, Balázs Villányi

“…The framework employs advanced ML algorithms, including extreme gradient boosting (XGBoost), support vector machines (SVMs), and random forests (RFs), to accurately predict defect rates and derive actionable insights for supply chain optimization. …”
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Integrating Machine Learning, SHAP Interpretability, and Deep Learning Approaches in the Study of Environmental and Economic Factors: A Case Study of Residential Segregation in Las... by Jingyi Liu, Yuxuan Cai, Xiwei Shen

“…Over the past two decades, research on residential segregation and environmental justice has evolved from spatial assimilation models to include class theory and social stratification. …”
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Averaging gate approximation error and performance of Unitary Coupled Cluster ansatz in Pre-FTQC Era by Kohdai Kuroiwa, Yuya O. Nakagawa

“…Fault-tolerant quantum computation (FTQC) is essential to implement quantum algorithms in a noise-resilient way, and thus to enjoy advantages of quantum computers even with presence of noise. …”
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Evaluating the strength properties of high-performance concrete in the form of ensemble and hybrid models using deep learning techniques by Zhe Wang, Tao Sun, Yan Sun, Na Liu

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A multi-modality ground-to-air cross-view pose estimation dataset for field robots by Xia Yuan, Kaiyang Wang, Riyu Qin, Jiachen Xu

“…Light Detection And Ranging (LiDAR)-enhanced ground truth further distinguishes its utility for complex outdoor navigation research.…”
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Advancements in Machine Learning (ML): Transforming the Future of Blood Cancer Detection and Outcome Prediction by Wiebke Rösler, Michael Roiss, Corinne Widmer

“…Recent studies demonstrate that ML algorithms can rapidly predict hematologic malignancies and patient outcomes, matching or exceeding the accuracy of experienced hematologists. …”
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A Versatile Panel of Reference Gene Assays for the Measurement of Chicken mRNA by Quantitative PCR. by Karen Staines, Ambalika Batra, William Mwangi, Helena J Maier, Steven Van Borm, John R Young, Mark Fife, Colin Butter

“…GeNorm and NormFinder algorithms were able to select appropriate reference gene sets in each case. …”
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A Review of Vibration Control Studies of Double-Layered Cylindrical Shells Under Transient Excitation in Water by Zhen Zhang, Yinglong Zhao, Feng Chen

“…Compared with the field of traditional mechanical noise, research on vibration control of the noise that is transiently excited underwater still has significant deficiencies in terms of its theoretical depth and systematicity. …”
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Landslide Identification from Post-Earthquake High-Resolution Remote Sensing Images Based on ResUNet–BFA by Zhenyu Zhao, Shucheng Tan, Yiquan Yang, Qinghua Zhang

“…However, the availability of publicly accessible deep learning datasets specifically for landslide detection remains limited, posing challenges for researchers in meeting task requirements. To address this issue, this study develops and releases a deep learning landslide dataset using Google Earth imagery, focusing on the impact zones of the 2008 Wenchuan Ms8.0 earthquake, the 2014 Ludian Ms6.5 earthquake, and the 2017 Jiuzhaigou Ms7.0 earthquake as the research areas. …”
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Phenology-Based Maize and Soybean Yield Potential Prediction Using Machine Learning and Sentinel-2 Imagery Time-Series by Dorijan Radočaj, Ivan Plaščak, Mladen Jurišić

“…In this study, an effort was made to address the research gap concerning the effectiveness of phenological modeling in crop yield potential prediction using machine learning. …”
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For a Semiotic Approach to Generative Image AI by Enzo D'Armenio, Maria Giulia Dondero, Adrien Deliège, Alessandro Sarti

“…Reciprocally, these tests on AIs aid our understanding of the two semiotic macro-criteria used, notably leading to a multiplication of enunciative instances in image production. Databases, algorithms, prompts, and aleatoric elements act as discursive agents.…”
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