Two‐stage low‐carbon scheduling of integrated energy system based on carbon emission flow model by Jia‐Wei Xia, Dandan Hu, Chu‐Peng Xiao, Zhen‐Yu Wang, Zhi‐Wei Liu

“…Therefore, a two‐stage scheduling model consisting of day‐ahead stage and intra‐day stage is developed to achieve reliable energy supply. …”
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Combinatorial Price Offer for a Wind Turbine with Flexible Load Considering the Uncertainty to Increase the Benefit of Wind Turbine by Behnam Sobhani, Sadegh Afzal

“…This strategy aims to increase renewable generations and demand profits in the day-ahead market. In this paper, the suggestions include the integrated offering of power, uncertainty modeling, using the neural-fuzzy model for predictions, flexible loads, etc. are proposed to achieve the optimal profits. …”
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Effects of Operation Prediction Sharing for Collaborative Avatar Robot by Hyuga Suzuki, Hikari Yukawa, Kouta Minamizawa, Yoshihiro Tanaka

“…The robotic arm was controlled by two operators, while the system predicts operations 0.3 seconds ahead using machine learning based on one operator’s actions. …”
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Spatio-Temporal Segmented Traffic Flow Prediction with ANPRS Data Based on Improved XGBoost by Bo Sun, Tuo Sun, Pengpeng Jiao

“…The prediction accuracy of XGBoost-I-lag is generally higher than XGBoost-I, XGBoost-S-lag, XGBoost-S, and other baseline methods for short-term and long-term multistep ahead. Additionally, the accuracy of the XGBoost-I-lag is evaluated well in nonrecurrent conditions and missing cases with considerable running time. …”
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Study on Law of Overlying Strata Breakage and Migration in Downward Mining of Extremely Close Coal Seams by Physical Similarity Simulation by Xiaobin Li, Wenrui He, Zhuhe Xu

“…The roof collapse of the lower coal seam occurs 2.5 m ahead of that of the upper coal seam. The hydraulic value of the support, roof fall height, and sloughing depth in the entire working face reach the maximum at the coal pillar, and the extreme points at the coal pillar are relatively concentrated. …”
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An integrated framework for prediction and sensitivity analysis of water levels in front of pumping stations by Weilin Wang, Guoqing Sang, Qiang Zhao, Yang Liu, Longbin Lu, Guangwen Shao

“…The water level in front of the target pumping station and the t-ahead flow were the most sensitive parameters, and the longer the foresight period, the higher the importance.New hydrological insight for the region: Three water transportation modes are proposed according to the characteristics of regional hydrological connectivity in the long-distance water transportation system. …”
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Study of Tunnel-Face to Borehole ERI (TBERI) Measurement Configurations and Its Optimization by Wei Zhou, Lichao Nie, Yongheng Zhang, Yonghao Pang, Zhao Dong, Zhimin An, Zhengyu Liu, Chuanyi Ma

“…Most of the existing electrical-resistivity-based ahead prospecting methods in tunnel use only the tunnel cavity and tunnel face space to locate the water-bearing structures in front of the tunnel. …”
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HESPERIA REleASE+: Improving Solar Proton Event Forecasting by Means of Automated Recognition of Type‐III Radio Bursts by Arik Posner, Olga Ε. Malandraki, Michalis Karavolos, Kostas Tziotziou, Fanis Smanis, Bernd Heber, Henrik Dröge, Patrick Kühl, Giorgos P. Veldes

“…REleASE forecasts are based on the detection of early arrival of near‐relativistic electrons ahead of more hazardous protons from Solar Energetic Particle (SEP) events. …”
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Low attitude despite excellent knowledge in dental students on treating HIV/AIDS patients: Where are we lacking as educators? by Prebha Manickam, Tina Varghese, Leanne Liew Xiao En, Kee Zi Qin, Kong He Xin

“…To bridge this gap between knowledge and attitude, a step ahead of just imparting ‘education’ is required.…”
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Shear Stress Analysis and Crack Prevention Measures for a Concrete-Face Rockfill Dam, Advanced Construction of a First-Stage Face Slab, and a First-Stage Face Slab in Advanced Rese... by Kongzhong Hu, Jiankang Chen, Dong Wang

“…Due to the demand in flood season for power generation, the first-stage face slab of a high concrete-face rockfill dam often must be constructed ahead of schedule, and advanced water storage is needed for the reservoir. …”
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The Short-Term Wind Power Forecasting by Utilizing Machine Learning and Hybrid Deep Learning Frameworks by Sunku V.S., Namboodiri V., Mukkamala R.

“…The objective is to develop an innovative deep learning (DL) model that integrates a convolutional neural network (CNN) with a gated recurrent unit (GRU) to enhance forecasting precision for day-ahead applications. In pursuit of these objectives, the CNN GRU model was rigorously tested and compared against three additional models: CNN with bidirectional long short-term memory (BiLSTM), extreme gradient boosting (XGBoost), and random forest (RF). …”
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Advancing biomonitoring of eDNA studies with the Anaconda R package: Integrating soil and One Health perspectives in the face of evolving traditional agriculture practices. by Pierre-Louis Stenger, Audrey Léopold, Kelly Dinh, Pierre Mournet, Nadia Robert, Julien Drouin, Jacques Wamejonengo, Sylvie Russet, Thomas Ibanez, Laurent Maggia, Fabian Carriconde

“…Importantly, the advanced analytical and statistical methods offered by this package should be harnessed to comprehensively investigate the effects of agricultural practice changes on soil health within the One Health framework. Looking ahead, the application of this method extends beyond the realm of One Health, offering valuable insights into various ecological scenarios. …”
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Rise of netholicism: A comprehensive review of internet addiction among today’s youth by Yogesh Kumar, Om P. Dhakar

“…Interventions and treatment approaches encompass psychoeducation, therapy, and digital literacy promotion. Looking ahead, the proliferation of internet addiction poses challenges exacerbated by technological advancements, requiring collaborative efforts to mitigate its adverse effects and promote a healthier relationship with technology among future generations.…”
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High-Risk AI Systems—Lie Detection Application by Konstantinos Kalodanis, Panagiotis Rizomiliotis, Georgios Feretzakis, Charalampos Papapavlou, Dimosthenis Anagnostopoulos

“…This in-depth analysis seeks to emphasize not only the enormous challenges ahead for practitioners but also the progress made in this emerging field of study. …”
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Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases by Arun Sharma, Sheeba Rani, Dinesh Gupta

“…Our method is more efficient than previously published methods. It is one step ahead towards the implementation of AI-based methods for classification problems in biomedical imaging related to COVID-19.…”
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Natural Cyclic Peptides: Synthetic Strategies and Biomedical Applications by Devan Buchanan, Shogo Mori, Ahmed Chadli, Siva S. Panda

“…This review compiles recent progress in the total synthesis and biological evaluation of natural cyclic peptides from 2017 onward, categorized by cyclization strategies: head-to-tail; head-to-side-chain; tail-to-side-chain; and side-chain-to-side-chain strategies. …”
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Microgrid energy management strategy considering source-load forecast error by Kaikai Zhang, Guibin Zou, Jinliang Zhang, Houlei Li, Yazhong Sun, Guoliang Li

“…Firstly, an optimization model considering the depreciation cost of battery is established. Secondly, day-ahead EMS is implemented under multiple operating modes considering minimum fluctuation and optimal economy. …”
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Very Short-Term Blackout Prediction for Grid-Tied PV Systems Operating in Low Reliability Weak Electric Grids of Developing Countries by Benson H. Mbuya, Aleksandar Dimovski, Marco Merlo, Thomas Kivevele

“…The model was composed of an adaptive similar day (ASD) module that predicts 15 minutes ahead from a sliding window lookup table spanning 2 weeks prior to the prediction target day, after which ASD prediction was fused with RF prediction, giving a final optimised RF-ASD blackout prediction model. …”
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Continuous Reinforcement Algorithm and Robust Economic Dispatching-Based Spot Electricity Market Modeling considering Strategic Behaviors of Wind Power Producers and Other Particip... by Zhenyu Zhao, Shuguang Yuan, Qingyun Nie, Weishang Guo

“…Because the gradient descent continuous actor-critic algorithm is demonstrated as an effective method in dealing with Markov’s decision-making problems with continuous state and action spaces and the robust economic dispatch model can optimize the permitted real-time wind power deviation intervals based on wind power producers’ bidding power output, in this paper, considering bidding interactions among wind power producers and other participants, we propose a gradient descent continuous actor-critic algorithm-based hour-ahead electricity market modeling approach with the robust economic dispatch model embedded. …”
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Mass Production of LiFePO4/C Powders by Large Type Spray Pyrolysis Apparatus and Its Application to Cathode for Lithium Ion Battery by Shinsuke Akao, Motofumi Yamada, Takayuki Kodera, Takashi Ogihara

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