Artificial Intelligence Algorithm to Screen for Diabetic Neuropathy: A Pilot Study by Giovanni Sartore, Eugenio Ragazzi, Francesco Pegoraro, Mario German Pagno, Annunziata Lapolla, Francesco Piarulli

“…<b>Conclusions</b>: The use of an optimized AI algorithm can help estimate the risk of developing DPN, thereby guiding more targeted and in-depth screening, including instrumental assessment using the biothesiometer method.…”
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Using fMRI-Based Multi-Scale Perception Models to Explore Cognitive Load and Attention Allocation in Education by Lu Chen, Hongli Lou, Pin Yue, Jianwen Chen

“…The study of cognitive load and attention allocation has gained prominence in educational research due to its critical role in optimizing teaching strategies. Cognitive load refers to the mental effort required to process information, while attention allocation describes how learners distribute their cognitive resources across tasks. …”
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High-voltage defibrillator unit with increased energy output from a controlled capacitor storage by E. E. Gorokhov-Miroshnikov, G. V. Slyusarev

“…Defibrillators using the method of regulating the pulse parameters based on the current are more effective, as they provide optimal durations of the defibrillation pulse with minimum energy within the possible values of the patient's circuit resistance. …”
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Modeling and control of automatic voltage regulation for a hydropower plant using advanced model predictive control by Ebunle Akupan Rene, Willy Stephen Tounsi Fokui

“…This demonstrates greater robustness compared to conventional control methods that optimize PID parameters based on performance criteria derived from actual system behavior, which exhibited settling times and overshoots exceeding 0.41 s and 5.0 %, respectively. …”
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Klasifikasi Citra Sampah Menggunakan Support Vector Machine dengan Ekstraksi Fitur Gray Level Co-Occurrence Matrix dan Color Moments by Iffa Zainan Nisa, Sukmawati Nur Endah, Priyo Sidik Sasongko, Retno Kusumaningrum, Khadijah Khadijah, Rismiyati Rismiyati

“…Abstract Waste is one of the global problems faced by the whole world, including Indonesia. Improper waste management can harm the environment and interfere with health. …”
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Dyeing to Know: Harmonizing Nile Red Staining Protocols for Microplastic Identification by Derek Ho, Julie Masura

“…Fenton oxidation effectively quenched fluorescence in natural organic matter (e.g., eggshells, fingernails, wood, cotton) while preserving NR-stained MPs. Acetone/water [25% (<i>v</i>/<i>v</i>)] emerged as the optimal solvent, balancing fluorescence performance and minimal degradation.…”
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Advancing smart communities with a deep learning framework for sustainable resource management. by Yongyan Zhao

“…Research results demonstrate that integrating sophisticated deep-learning methods yields more significant potential for optimizing resource utilization while improving operational effectiveness.…”
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Correlation of Social Support and Mother's Self-Management of Care for a Child with A Chronic Condition by Rinik Eko Kapti, Nurona Azizah, Aprilia Nur Kasanah, Luh Putu Tania Ambara Wati, Lilik Supriati, Ari Damayanti Wahyuningrum

“…Purpose: To analyze the relationship between social support and maternal self-management Methods: This study used a quantitative descriptive method with a cross-sectional research design. …”
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Mathematical Representation Ability in HOTS Problems : A Study of Students’ Learning Style by Ultami Ismayani Febryana, Trisna Roy Pradipta

“…The findings of this study can provide insights for education practitioners to optimize mathematics learning based on students' learning styles, while contributing theoretically to the development of academic theory and literature in the field of mathematics learning and mathematical representation.…”
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Balancing innovation and accountability: AI’s transformative influence on logistics in G20 nations by Ya Li, Zheng Guangwen

“…Moreover, our heterogeneity analysis highlights that high AI funding levels significantly enhance logistics performance, while the impact is negligible in countries with lower AI investments. …”
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Comparative Evaluation of Gelatin and HPMC Inhalation Capsule Shells Exposed to Simulated Humidity Conditions by Sabrina Magramane, Nikolett Kállai-Szabó, Dóra Farkas, Károly Süvegh, Romána Zelkó, István Antal

“…Visual observations of silica bead color changes were performed to assess moisture absorption, while surface wettability was measured using the sessile drop method. …”
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Improving resilience of energy nexus across demand sectors: Strengthening cybersecurity in water cycle and energy networks through data reconstruction using a novel hybrid reinforc... by Daryoush Tavangar Rizi, Mohammad Hassan Nazari, Seyed Hossein Hosseinian

“…Ultimately, it emphasizes the need for innovative solutions that enhance the sustainability of water resources while ensuring resilience against emerging threats in both agricultural and urban settings.…”
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Neutrophil-Camouflaged Stealth Liposomes for Photothermal-Induced Tumor Immunotherapy Through Intratumoral Bacterial Activation by Xinxin Chen, Jiang Sun, Tingxian Ye, Fanzhu Li

“…<b>Methods</b>: The liposomes (PD/GA-LPs) loaded with the perylene diimide complex (PD) and gambogic acid (GA) were fabricated via the extrusion method. …”
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Medical education program restructuring according to the PUIGEP (prevalence, urgency, possible intervention, gravity, exemplarity, prevention) system by Amer Sebaaly, Mohammad Daher, Lynn Abdo, Cesar Yaghi, Elie Nemr, Gaby Kreichati

“…This process ensured a balanced distribution of credits while considering the students’ needs and the clinical importance of the chapters. …”
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Mapping alpha diversity of plant species using scale effects of remote sensing by Xingchen Yang, Shaogang Lei, Jun Xu, Yibo Zhao, Yu Tian, Yingjie Guo

“…Many methods have been proposed to estimate biodiversity using remote sensing. …”
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Smart Electric Vehicle Charging Algorithm to Reduce the Impact on Power Grids: A Reinforcement Learning Based Methodology by Federico Rossi, Cesar Diaz-Londono, Yang Li, Changfu Zou, Giambattista Gruosso

“…Here, we propose a novel scheduling methodology using a pre-trained Reinforcement Learning (RL) framework to address this challenge. The method integrates real grid simulations to monitor critical electrical points and variables while simplifying analysis by excluding the influence of real grid dynamics. …”
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Automated Loudness Growth Prediction From EEG Signals Using Autoencoder and Multi-Target Regression by D. Rama Harshita, Nitya Tiwari, Himanshu Padole, K. S. Nataraj

“…Unlike traditional methods that rely on manually engineered features, the proposed method uses a convolutional autoencoder to learn latent representations of ABR signals, reducing dimensionality while preserving critical auditory information. …”
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Nail disease in psoriatic arthritis. Data from the Russian Psoriatic Arthritis Registry by E. E. Gubar, Y. L. Korsakova, E. Yu. Loginova, T. V. Korotaeva, E. A. Vasilenko, A. A. Vasilenko, N. A. Kuznetsova, I. M. Patkikeeva, E. L. Nasonov

“…Objective of the study – to compare, in real clinical practice, according to the data of the Russian Psoriatic Arthritis Registry, characteristics of two groups of psoriatic arthritis (PsA) patients: with and without nail psoriasis.Material and methods. 588 PsA patients (277 males and 311 females) with PsA according to CASPAR criteria were included in the Russian Psoriatic Arthritis Registry. …”
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Anterior temporal lobectomy and selective AmygdaloHippocampectomy complications across Europe: review, meta-analysis, and Delphi consensus by Maria D. Karagianni, Olaf E.M.G. Schijns, Alexandros Brotis, Anastasia Tasiou, Christian Auer, Thomas Blauwblomme, Marcelo Budke, Alexandre Rainha Campos, Santiago Candela-Cantó, Hans Clusmann, Alessandro Consales, Massimo Cossu, Daniel Delev, Christian Dorfer, Georg Dorfmüller, Arild Egge, Lorand Eröss, Sarah Ferrand-Sorbets, Flavio Giordano, Cihan Isler, Jugoslav Ivanovic, Thilo Kalbhenn, Atte Karppinen, Paivi Koroknay-Pal, Niklaus Krayenbühl, Marec von Lehe, Carlo E. Marras, Ioannis Mavridis, Daniel Nilsson, Julia Onken, Christian Raftopoulos, Michele Rizzi, Dirk van Roost, Karl Rössler, Jonathan Roth, Jordi Rumia, Alexandra Seromenho-Santos, Thomas Sauvigny, Didier Scavarda, Christian Scheiwe, Karl Schaller, Sophie Schuind, Ido Strauss, Tom Theys, Mustafa Uzan, Konstantinos N. Fountas, Franziska Schmidt, Linda Ackermans, Pedro Duarte Batista, Michael Hart, Marie Krüger

“…While psychiatric and cognitive complications were acknowledged, no consensus was reached regarding their prevalence or screening methods. …”
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Weight trimming and propensity score weighting. by Brian K Lee, Justin Lessler, Elizabeth A Stuart

“…The performance of boosted CART and random forests without weight trimming was similar to the best performance obtainable by weight trimmed logistic regression estimated propensity scores. While trimming may be used to optimize propensity score weights estimated using logistic regression, the optimal level of trimming is difficult to determine. …”
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