Implementation of Independent Curriculum Learning at Cimone State Elementary School Tangerang City by Mia Alfiatun Najah, Yeni Nuraeni, Ina Magdalena

“…The obstacles faced include limited facilities, uneven teacher readiness, and student adaptation to new and innovative learning methods. Strengthening teacher training, procurement of facilities, and increasing collaboration between schools and related parties is very necessary so that the implementation of the curriculum can run optimally and have a significant positive impact on the learning process in elementary schools as a whole. …”
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Innovations in Cancer Immunotherapy Drug Delivery Technologies: A Systematic Review by Kavita Sharma, Madhuri Shah, Samiksha Gour, Rituparna Mitra, Nidhhi Bihani, Nehal Chandgothia

“…An innovative method in oncology, cancer immunotherapy uses the body’s immune system to fight cancer cells. …”
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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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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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Deep-Learning-Guided Student Intelligent Classroom Management System by Xiaobing Niu

“…Extensive experimental results have shown the competitive performance of our method.…”
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A Multi-Mode Dynamic Fusion Mach Number Prediction Framework by Luping Zhao, Weihao Li, Wentao Xu

“…Second, the Partial Least Squares (PLS) method is employed to explore the correlations between historical and new modes, dynamically selecting the optimal prediction model and updating the historical mode repository. …”
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Estudio energético del proceso de obtención de panela en dos variedades de Saccharum officinarum L. (caña de azúcar) en la Amazonía Ecuatoriana by Víctor González-Rivera, Michael José Albán-Galárraga, Juan González-Rivera, Irene Hidalgo-Guerrero

“…The results indicated that the average overall efficiency in the furnace system was 58,50 %, while in the boiler system it reached 83,50%. In conclusion, these results demonstrated that the use of boilers in panela production is significantly more energy efficient than the traditional furnace method, with a positive increase of 25 % in overall efficiency. …”
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The potential &amp; limitations of monoplotting in cross-view geo-localization conditions by Bradley J. Koskowich, Michael J. Starek, Scott A. King

“…Classical keypoint matching methods find the extreme pose transitions between cameras present in a CVGL configuration challenging to operate in, while deep neural networks demonstrate superb capacity in this area. …”
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SemantiPack: An Efficient Real-World Data Compressor Using Structural and Semantic Metadata by Yoshiteru Nagata, Daiki Kohama, Yoshiki Watanabe, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

“…Traditional compression methods often fail to adapt efficiently to these complexities, leading to sub-optimal storage and analysis performance. …”
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