Sentiment-Driven Bitcoin Price Range Forecasting: Enhancing CART Decision Trees With High-Dimensional Indicators and Twitter Dynamics by Lei Shang

“…Sensitivity analysis further optimizes the sentiment feature weight, confirming the model’s robustness, and provides an innovative perspective for cryptocurrency market prediction, with future applications extensible through multi-source data fusion.…”
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Virtual-Z Gates and Symmetric Gate Compilation by Arian Vezvaee, Vinay Tripathi, Daria Kowsari, Eli Levenson-Falk, Daniel A. Lidar

“…Here, we show that the method of compilation has important consequences in an open quantum system setting. …”
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Region-based U-nets for fast, accurate, and scalable deep brain segmentation: Application to Parkinson Plus Syndromes by Mengyu Li, Magnús Magnússon, Ingibjörg Kristjánsdóttir, Sigrún Helga Lund, Thilo van Eimeren, Lotta M. Ellingsen

“…By dividing the brain image into targeted regions around the brainstem, ventricular system, and striatum, our method optimizes GPU usage and significantly reduces training times, while maintaining high accuracy. …”
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Soil methane emission suppression control using unmanned aircraft vehicle swarm application of biochar mulch - A simulation study by Di An, Derek Hollenbeck, Kai Cao, YangQuan Chen

“…To overcome these drawbacks, we present a new method called FADE-MAS2D (Fractional Advection Diffusion Mobile Actuator and Sensor) in which swarming UAVs are applied as optimal coverage control actuators to various methane release scenarios (from single to multi-source disturbances) utilizing an anomalous diffusion model with different time, and space fractional orders subject to wind fields. …”
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Dynamic Modeling and Simulation of Wind Turbine Unit Primary Frequency Regulation Considering Multi-domain Coupling Characteristics by Zhanyang JI, Yang HU, Lingxing KONG, Ziqiu SONG, Dan DENG, Jizhen LIU

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Weibull-Type Incubation Period and Time of Exposure Using <i>γ</i>-Divergence by Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi

“…To address this challenge, we introduce a robust estimation framework based on a three-parameter Weibull distribution in which the location parameter naturally corresponds to the unknown exposure time. Our method employs a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula>-divergence criterion—a robust generalization of the standard cross-entropy criterion—optimized via a tailored majorization–minimization (MM) algorithm designed to guarantee a monotonic decrease in the objective function despite the non-convexity typically present in robust formulations. …”
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Identification of Nanoparticle Agglomeration in Polymer Plates Reinforced with Carbon Nanotubes by Use of Active Thermography and Deep Learning-Based Image Processing by Mazharul Islam, Raihan Sarker

“…This study describes a noncontact method for measuring nanoparticle agglomeration in epoxy-based polymer nanocomposite sheets reinforced by carbon nanotubes. …”
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Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images by Avigyan Roy, Priyam Saha, Nandita Gautam, Friedhelm Schwenker, Ram Sarkar

“…., a candidate solution) using a filter method, instead of a classifier. Further, the GA optimized feature vector is fed to the K-nearest neighbors classifier for final classification. …”
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A Brief Review on the Development Progress of High-Efficiency Klystrons by Soumaya Mandal, Ayan Kumar Bandyopadhyay, Chaitali Koley, Debasish Pal, Taha Selim Ustun, Ahmet Onen

“…This paper presents a brief review on recently emerging bunching formation techniques and configurations, including the Core Oscillation Method (COM), Core Stabilization Method (CSM), Bunch Alignment Collection method (BAC), Kladistron principle, Multigap output structures, novel architecture of Two Stage Multibeam klystrons, and related optimization techniques. …”
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Investigating the impact of variety of e-retail delivery service options on customer retention by Soheila Zarinjoy alvar, shahin raz, Ali Tavakolifar

“…The main advantage of the proposed strategy, compared to previous strategies, is its simplicity and easy implementation, and at the same time it reflects the optimal solution. Research methodology The current research is applicable in terms of purpose, a survey research in terms of the method of data collection, cross-sectional in terms of time, and causal-descriptive in terms of nature and method. …”
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Research and Engineering Practice of Var-Voltage Control in Primary and Distribution Networks Considering the Reactive Power Regulation Capability of Distributed PV Systems by Haiyun Wang, Qian Chen, Linyu Zhang, Xiyu Yin, Zhijian Zhang, Huayue Wei, Xiaoyue Chen

“…Through the analysis of actual operation cases in a regional power grid, the results demonstrate a reduction in network loss by 171.14 kW through voltage adjustment, validating the effectiveness of the proposed strategy. This method fully leverages the reactive power regulation capability of distributed renewable energy sources, reduces the operational frequency of reactive power equipment in substations, and synergizes with the AVC system to achieve optimal power grid operation.…”
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Assessment of Distribution Network Security Carrying Capacity under Emergency Incidents by LI Jiayu, WANG Jianjun, LIU Yanchao, LIU Jie, LI Hao, JIANG Junjie, TENG Jialun

“…Additionally, a strategy for selecting critical safety constraints based on an iterative method is introduced, enhancing solution efficiency by focusing solely on crucial safety constraints in the optimization model to satisfy all feasible power flows. …”
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Detecting sub-instability before three Mw > 6.0 earthquakes on Chinese mainland in 2020–2022 with load/unload response ratio by Huaizhong Yu, Donghui Jia, Chieh-Hung Chen, Yue Liu, Haitao Wang, Jie Liu, Rui Yan, Binbin Zhao, Jianming Liu, Yuchuan Ma, Guihong Han, Wen Yang, Zhengyi Yuan, Zeping Li

“…We apply the Load/Unload Response Ratio (LURR) method to explore sub-instability in the source media before large earthquakes. …”
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Advances in the catalytic conversion of CO2 by Gu Xiyang

“…This paper reviews the latest advancements, explores the advantages and limitations of each method, and suggests optimization directions for effective CO2 catalytic conversion, with an emphasis on achieving industrial viability.…”
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Boosting the efficiency of narrowband THz radiators via three-dimensional emission collection by Tinglian Zhang, Rasmus Ischebeck, Uwe Niedermayer, Thomas Schietinger, Pavle Juranić

“…The demand for high-power, narrowband, and tunable THz radiation sources is steadily increasing. Smith-Purcell radiation offers a compact method for resonantly generating narrowband THz sources with notable advantages over other approaches, though the power output still requires improvement. …”
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SORA: Energy-Efficient Resource Allocation in Open Radio Access Network With Online Learning by Aerman Tuerxun, Akihiro Nakao

“…We validate our method using open-source platforms&#x2014;OpenAirInterface and FlexRIC&#x2014;demonstrating its practical effectiveness. …”
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Thermal and mechanical properties of bio-cemented quartz sand mixed with steel slag by Shuang Li, Ming Huang, Mingjuan Cui, Kai Xu, Guixiao Jin

“…In this work, the effects of steel slag content (SSC) and number of treatment cycle (N) on the thermal conductivity and mechanical strength of EICP-treated specimens were investigated. The immersion method was adopted for specimen preparation. The thermal conductivity was measured by transient plane source method (TPS) and the unconfined compressive strength (UCS) was obtained through a uniaxial compression test. …”
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Extraction of Collagen from Kedukang Fish Bone (Hexanematichthys sagor) at Various Concentrations of Acetic Acid Solution by Veronica Veronica, Junianto Junianto, Aulia Andhikawati, Emma Rochima

“…The extraction process is declared effective if it produces optimal collagen yield. This study aims to determine the best acetic acid concentration in producing optimal collagen yield. …”
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Application of machine learning in acute upper gastrointestinal bleeding: bibliometric analysis by Qun Li, Guolin Chen, Qiongjie Li, Dongna Guo

“…Through a thorough analysis of relevant literature, we uncover the research trends and collaboration patterns in this field, which can provide valuable references and insights for further in-depth exploration in the same field.MethodsUsing the Web of Science (WOS) as the data source, this study explores academic development in a specific field from December 2013 to December 2023. …”
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Research Progress and Technology Outlook of Deep Learning in Seepage Field Prediction During Oil and Gas Field Development by Tong Wu, Qingjie Liu, Yueyue Wang, Ying Xu, Jiale Shi, Yu Yao, Qiang Chen, Jianxun Liang, Shu Tang

“…Based on the summary of the existing results, this paper proposes future development directions including real-time prediction and closed-loop optimization, multi-source data fusion, physical consistency modeling and interpretability enhancement, model migration, and online updating capability. …”
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