Hierarchical Control of Energy Router Based on MPC and Real-Time Optimization Methods for Distribution Network by Jianfeng Yang, Shun Zhou, Jiawei Wang

“…Traditional centralized control methods struggle with slow response times and poor adaptability, particularly under dynamic and complex conditions such as renewable energy fluctuations and load variations. …”
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A review of smart structures and adaptation of 3d printing methods for future fashion applications by Viktorija Diak

“…However, the creation of such novel materials/structures and their integration with traditional fibres present numerous challenges, urging the industry to explore new manufacturing methods. …”
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A Quantum-Classical Method Applied to Material Design: Photochromic Materials Optimization for Photopharmacology Applications by Qi Gao, Michihiko Sugawara, Paul D. Nation, Takao Kobayashi, Yu-ya Ohnishi, Hiroyuki Tezuka, Naoki Yamamoto

“…In this study, we develop a quantum-classical computing scheme involving the computational-basis variational quantum deflation (cVQD) method for calculating the excited states of a general classical Hamiltonian, such as an Ising Hamiltonian. …”
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Meta-learning approach for variational autoencoder hyperparameter tuning by Michele Berti, Matheus Camilo da Silva, Sebastiano Saccani, Sylvio Barbon Junior

“…We propose a meta-learning (MtL) method for hyperparameter recommendation, which achieves competitive performance to state-of-the-art Bayesian Optimization (BO) with median AUC values of 0.660 ± 0.038 (MtL) and 0.650 ± 0.041 (BO), showing no statistically significant difference. …”
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Out-of-distribution reject option method for dataset shift problem in early disease onset prediction by Taisei Tosaki, Eiichiro Uchino, Ryosuke Kojima, Yohei Mineharu, Yuji Okamoto, Mikio Arita, Nobuyuki Miyai, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno

“…To diminish dataset shift in real-world settings, this paper proposes the out-of-distribution reject option for prediction (ODROP). This method integrates an OOD detection model to preclude OOD data from the prediction phase. …”
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Exploration of the Validity of the Moral Competency Inventory Instrument: Analysis of Validation Methods from Various Studies by Fikri Nurcahya, Riyadi Riyadi, Achmad Ridwan

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Precise Geoid Determination in the Eastern Swiss Alps Using Geodetic Astronomy and GNSS/Leveling Methods by Müge Albayrak, Urs Marti, Daniel Willi, Sébastien Guillaume, Ryan A. Hardy

“…Our study demonstrates that absolute geoid heights derived from GNSS/leveling data achieve centimeter-level accuracy, underscoring the precision of this method. Comparisons with CHGeo2004 predictions reveal a strong correlation, closely aligning with both GNSS/leveling and DoV-derived results. …”
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Robustness of machine learning predictions for Fe-Co-Ni alloys prepared by various synthesis methods by Shakti P. Padhy, Soumya R. Mishra, Li Ping Tan, Karl P. Davidson, Xuesong Xu, Varun Chaudhary, R.V. Ramanujan

“…This work further explains how structural variations across synthesis methods impact property behavior, validating the robustness of ML-predicted compositions and highlighting a pathway for integrating processing conditions into alloy development.…”
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A Short Review: Tribology in Machining to Understand Conventional and Latest Modeling Methods with Machine Learning by Seisuke Kano

“…Recent innovations have introduced data-driven approaches that predict system behavior without the need for detailed models. By integrating advanced monitoring technologies and machine learning, these methods enable real-time predictions within controllable parameters using live data. …”
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Effects of Postharvest Storage Methods on Retention of Carotenoids in Malawian Local and Hybrid Orange Maize Varieties by Pachalo Luhanga, Mangani Katundu, Margaret Maoni

“…This study investigated the effects of two storage methods (Purdue Improved Crop Storage (PICS) bags and normal woven bags (NWBs)) in three Malawian orange maize varieties (Mthikinya, MH43A and MH44A) on retention of total carotenoid content (TCC). …”
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Improving the diagnostic accuracy of referrals for papilloedema (DIPP) study: protocol for a mixed-methods study by Luke Bennetto, Beth Stuart, Jonathan Benger, Matthew J Ridd, Helen Bolton, William Hollingworth, Michael Bowen, Amar Shah, Samuel William David Merriel, Alyson Huntley, Victoria Wilson, Maria Theresa Redaniel, Paul Roy, Denize Atan, Frank Moore, Olivia Skrobot, Mary-Ann Sherratt, Marcia Lucraft, Christina Stokes

“…This article describes the protocol for gathering evidence of current referral practices and pathways for people suspected to have papilloedema in England and the development of guidelines based on this evidence and extensive engagement with community- and hospital-based healthcare professionals, patients, and the public.Methods and analysis Both qualitative and quantitative data will be collected from Freedom of Information requests to Integrated Care Boards across England about how they organise their community and hospital services for people with suspected papilloedema, with and without headache. …”
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Enhancing referrals to Child and Adolescent Mental Health Services: the EN-CAMHS mixed-methods study by Kathryn M Abel, Pauline Whelan, Lesley-Anne Carter, Heidi Tranter, Charlotte Stockton-Powdrell, Kerry Gutridge, Lamiece Hassan, Rachel Elvins, Julian Edbrooke-Childs

“…Identify complexities of implementing sustainable solutions across CAMHS settings. Method The study took parallel quantitative and qualitative approaches to examine the extent of the problem in local and Northwest regional CAMHS services, and to determine how this translated into people’s experiences; and to identify realistic and implementable solutions. …”
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Short-Term Wind Power Prediction Method Based on CEEMDAN-VMD-GRU Hybrid Model by Na Fang, Zhengguang Liu, Shilei Fan

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A Model Based on Neural Network to Predict Surface Settlement During Subway Station Construction: A Case Study of the Dongba-Zhongjie Station in Beijing, China by Jiaqi Zhang, Hua Jiang, Jinsen Wang, Jili Feng

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Online variational Gaussian process for time series data by Weidong Wang, Mian Muhammad Yasir Khalil, Leta Yobsan Bayisa

“…Our method capitalizes on the sophisticated design of the online variational inference framework, ensuring a technically robust derivation and implementation. …”
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Integration of FTIR Spectroscopy, Volatile Compound Profiling, and Chemometric Techniques for Advanced Geographical and Varietal Analysis of Moroccan Eucalyptus Essential Oils by Aimen El Orche, Abdennacer El Mrabet, Amal Ait Haj Said, Soumaya Mousannif, Omar Elhamdaoui, Siddique Akber Ansari, Hamad M. Alkahtani, Shoeb Anwar Ansari, Ibrahim Sbai El Otmani, Mustapha Bouatia

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Variational Autoencoder-Based Framework for Retail Sales Prediction by Fuyu Li, Lei Wang, Bo Jin

“…Extensive experiments conducted in collaboration with a national retail chain in China demonstrate that our method outperforms state-of-the-art baseline methods and is practical for various operational and management tasks.…”
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Short-Term Power Load Prediction Based on Level Processing Method and Improved GWO Algorithm by Yuntong Li

“…In the field of short-term power load prediction, the current prediction methods have low prediction accuracy. To address this issue, this study introduces level processing method and improved grey wolf genetic algorithm to predict short-term power load and optimize the power load prediction accuracy. …”
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Fault diagnosis method of mine hoist main bearing with small sample based on VAE-WGAN by Fan JIANG, Hongyan SONG, Xi SHEN, Zhencai ZHU, Shuman CHENG

“…Furthermore, a fault diagnosis method based on CBAM-MobileNetV2 is proposed to achieve fault diagnosis of mine hoist main bearings under small sample data. …”
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Adaptive Voxel-Division Method of GNSS Water Vapor Tomography and Its Application in Data Assimilation by Yongjie Ma, Qingzhi Zhao, Duoduo Jiang, Wanqiang Yao, Yibin Yao, Jinfang Yin, Hongwu Guo, Yuan Zhai, Ying Xu, Ruikun Wang, Qingfang Chen, Jingyu Zhang

“…In addition, a two-step variational assimilation method has been developed to address the limitation of existing NWP models without a direct interface for assimilating GNSS water vapor tomographic results. …”
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