Transformation of Demand-Response Aggregator Operations in Future US Electricity Markets: A Review of Technologies and Open Research Areas with Game Theory by Styliani I. Kampezidou, Dimitri N. Mavris

“…We conclude by identifying open research directions, including the need for game-theoretic and machine learning approaches that ensure privacy, scalability, and robust market participation. …”
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Redesigning Bureaucracy as a Governmental Strategy for Enhancing Public Service Effectiveness by Mujahidin Mujahidin, Fanila Kasmita Kusuma

“…Structural reforms often fall short due to insufficient capacity-building and performance incentives, while digital initiatives reveal spatial inequality and interoperability challenges. …”
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A multi-level classification model for corrosion defects in oil and gas pipelines using meta-learner ensemble (MLE) techniques by Adamu Abubakar Sani, Mohamed Mubarak Abdul Wahab, Nasir Shafiq, Kamaludden Usman Danyaro, Nasir Khan, Adamu Tafida, Arsalaan Khan Yousafzai

“…Findings show that most corrosion defects fall within the low-risk category, with a significant number falling into the medium-to-high-risk range, highlighting the necessity for targeted maintenance. …”
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Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit by Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

“…Noise profoundly affects the quality of electromagnetic data, and selecting the appropriate hyperparameters for machine learning models poses a significant challenge. Consequently, the current machine learning denoising techniques fall short in delivering precise processing of Wide Field Electromagnetic Method (WFEM) data. …”
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Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods by Bayan Banimfreg, Ernesto Damiani, Vesta Afzali Gorooh, Duncan Axisa, Luca Delle Monache, Youssef Wehbe

“…This study investigates rainfall variability from 2003 to 2021, emphasizing the integration of machine learning to enhance the accuracy of Quantitative Precipitation Estimation (QPE). …”
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An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Estimation by S. Du, H. Huang, K. Shen, Z. Liu, S. Tang

“…In geographic machine learning tasks, conventional statistical learning methods often struggle to capture spatial heterogeneity, leading to unsatisfactory prediction accuracy and unreliable interpretability. …”
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Penaeus vannamei aquaculture water quality prediction based on the improved back propagation neural network by DING Jinting, ZANG Zelin, HUANG Min

“…In order to overcome the disadvantages of traditional back propagation (BP) neural network including slow convergence speed, easy to fall into the shock, poor generalization ability and so on, the adaptive variable step size BP-neural network learning algorithm based on the fuzzy method had been developed, which can reduce the learning time of BP-neural network, improve the convergence efficiency and network stability.The computed results for water quality showed good agreement with the measured values. …”
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Comprehensive Review on the Control of Heat Pumps for Energy Flexibility in Distribution Networks by Gustavo L. Aschidamini, Mina Pavlovic, Bradley A. Reinholz, Malcolm S. Metcalfe, Taco Niet, Mariana Resener

“…Real-time optimization is achieved through model predictive control (MPC), which relies on a predictive model to optimize decisions over a time horizon, and reinforcement learning (RL), which takes a model-free approach by learning optimal strategies through direct interaction with the environment. …”
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Misconceptions Towards Department of Education Advisory: A Challenge in the Philippine Education System by Mark Gabriel Aguilar, Hasibul Islam

“…However, ensuring that teachers only attend quality professional development events is critical to preventing incompetence and promoting actual learning. In the Philippines, the Department of Education (DepEd) provides information about professional development opportunities through DepEd Advisories. …”
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Perception of Lemborexant Effectiveness as Assessed by the Patient Global Impression–Insomnia Questionnaire by Drake CL, Yardley J, Pinner K, Moline M, Malhotra M

“…Positive effects on “time to fall asleep” were reported by 72.8% (LEM5) and 73.1% (LEM10) versus 46.1% with PBO (p< 0.0001), and 58.0% (LEM5) and 62.0% (LEM10) reported positive effects on sleep duration versus 39.9% with PBO (p< 0.0001). …”
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The effect of blended educational methods in communication skills in nursing with students’ interactions with patients: A quasi-experimental study by Seyed Hossein Kalati, Neda Ahmadzadeh Tori, Javaneh Kalati, Nastaran Norouzi Parashkouh, Hengameh Karimi

“…Conclusion: According to the results, participating in blended methods for communication skills courses can be as effective in improving communication skills as 2 years of experiential learning of communication skills.…”
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Real time weed identification with enhanced mobilevit model for mobile devices by Xiaoyan Liu, Qingru Sui, Zhihui Chen

“…Abstract Deep learning model optimization have notably enhanced weed identification accuracy. …”
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Adaptive RFID Data Scheduling Using Proximal Policy Optimization for Reducing Data Processing Latency by Guowei Guo, Xinsen Yang, Ziwei Liang, Zeli Xi, Ximei Zhan, Peisong Li

“…However, efficiently offloading the large volume of data generated by RFID tags to readers poses significant challenges, particularly in dynamic environments where static or rule-based offloading methods fall short. This paper presents a novel approach for dynamically offloading data using deep reinforcement learning, specifically employing the Proximal Policy Optimization (PPO) algorithm. …”
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Implementation of Student Course Evaluation: Pandemic Impact on the Non-Constraint Engagement (NCE) Model by Faridah Maarof, Said El-Emam, Raudah Mohd Yunus

“…Evaluations were performed via Moodle in the online Learning Management System (LMS) before mid-term of each semester. …”
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StackTrans&#x2013;Multimodal Heart Disease Detection Using Stacked Transformer Fusion Framework by Muhammad Adnan, Yang Yi, Enci Wang, Md Nasir Imtiaz

“…Most conventional frameworks fall short in capturing intermodal dependencies and adjusting to performance variations across heterogeneous inputs. …”
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Tulving’s (1989) Doctrine of Concordance Revisited by Bennett L. Schwartz, Anne M. Cleary

“…We outline two areas of memory research in which current research and interpretations appear to fall prey to the Doctrine today: research on the dual- vs. single-process theory in recognition memory, including work on remember/know judgments, and research on retrospective memory confidence. …”
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Attracting Serendipity: the Impact of Investment at the Science/Technology Interface in Fundamental Physics Research Infrastructures by Michael Gastrow, Sonia Utermann, Arne Jungstand, Ulrich Schmoch

“…The first area is that of routes to impact, including the roles of RIs and businesses, the role of open innovation, and impacts that fall beyond innovation. The second area is that of technological serendipity, and the efforts of ATTRACT to systematise mechanisms that may support it. …”
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An Intervention to Support Higher Education Teachers’ Teaching Processes and Well-Being: Protocol for an Intervention Study by Liisa Postareff, Anna Parpala, Petri Nokelainen, Merly Kosenkranius, Ilmari Puhakka, Laura Pylväs, Heta Rintala, Milla Räisänen, Anna Wallin

“…The aim of the intervention is to help teachers reflect on their own teaching, offer tools to use learning-focused teaching methods, and increase teachers’ ability to define the problem and use learning-focused teaching methods using guided reflection and mindfulness-based practices. …”
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A Study of the Male Abdominal Appendages of the Nais-Group of Apantesis Walker. (Lepidoptera Arctiidæ) by Elmer T. Learned

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Algae-Mamba: A Spatially Variable Mamba for Algae Extraction From Remote Sensing Images by Yaoteng Zhang, Shuaipeng Wang, Yanlong Chen, Shiqing Wei, Mingming Xu, Shanwei Liu

“…Traditional threshold-based methods and standard machine learning techniques often fall short in accurately and automatically distinguishing algae types. …”
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