EPIWATCH, an artificial intelligence early-warning system as a valuable tool in outbreak surveillance by Dr Ashley Quigley, Mr Damian Honeyman, Ms Haley Stone, Dr Rebecca Dawson, Professor C Raina MacIntyre

“…This research highlights the capability of EPIWATCH as a valuable tool for non-traditional surveillance, enabling resource allocation, response and preparedness efforts to be optimized. Conclusion: With the acceleration of serious epidemics in the last decade, utilizing rapid epidemic intelligence methods and vast open-source data to enable earlier detection of epidemics is essential. …”
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Capacity Evolution of Flexible Units Based on a Dual-Timescale Dynamic Model under Dual Carbon Goals by LI Kecun, HUANG Zhenyu, YOU Xingxing, QIU Gao, LIU Youbo, LIU Junyong

“…In the context of “carbon peaking” and “carbon neutrality，” the generation method for power systems is gradually transitioning from traditional generation to renewable energy source generation， posing challenges to the stability of the power supply in the grid. …”
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Design of an integral sliding mode controller for reducing CO2 emissions in the transport sector to control global warming by Abid Mehmood, Mohsan Hassan, Pita Donald, Mohammed M. A. Almazah

“…The vehicle parameters are then optimized by applying an integral sliding mode controller (ISMC) to decrease CO2 emissions and minimize global warming. …”
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Analysis of the Influence of Patch Antenna Shapes for Wireless Passive Temperature Sensor Applications by Trisa Azahra, Ying-Ting Liao, Yi-Chien Chen, Cheng-Chien Kuo

“…A key advantage of these sensors is their ability to operate without a local power source. This study employs the antenna backscattering method, which relies on the wireless interaction between the interrogator antenna and the sensor antenna’s resonant frequency, implemented in the far-field region to support long communication distances. …”
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Finding Random Integer Ideal Flow Network Signature Algorithms by Kardi Teknomo, Erna Budhiarti Nababan, Indriati Njoto Bisono, Resmana Lim

“…This framework lays the foundation for future advancements in predictive modeling and network optimization. To ensure reproducibility, we provide an open-source Python implementation on GitHub. …”
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Hyper-resolution in X-ray emission spectroscopy: integrating extended-range high energy resolution fluorescence detection and multiple-crystal spectrometry with advanced binary dat... by Ramesh Rijal, Jack Stephens, Daniel Sier, Nicholas T. T. Tran, Truong V. B. Nguyen, Jonathan W. Dean, Pierce Bowman, Minh Dao, Paul Di Pasquale, Tony Kirk, Chanh Q. Tran, Shusaku Hayama, Matteo Aramini, Nitya Ramanan, Sofia Diaz-Moreno, Christopher T. Chantler

“…XR-HERFD enhances spectral precision by utilizing high-resolution crystal analysers and optimized detector configurations. The systematic application of these methods using multiple Bragg crystal analysers at Diamond Light Source has led to substantial improvements in data quality. …”
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Two-layer energy scheduling of electrical and thermal smart grids with energy hubs including renewable and storage units considering energy markets by Walid Aich, Ali Basem, Narinderjit Singh Sawaran Singh, Kuwar Mausam, Zahraa Abed Hussein, Saurav Dixit, Naim Ben Ali, Lotfi Ben Said, Wajdi Rajhi, Loghman Mostafazadeh

“…Problem-solving is undertaken using a hybrid optimization solver that combines artificial bee colony and honey-bee mating optimization methods. …”
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Development of deep learning models for high-resolution exposome mapping and health impact assessment by Lan Luan, Zhu Daoyu

“…Traditional exposome mapping methods often face limitations, such as low spatial-temporal resolution, challenges in integrating multi-modal data sources, and inadequate handling of uncertainties in exposure quantification.MethodsTo address these gaps, we introduce an innovative framework that leverages advanced deep learning techniques, adaptive optimization strategies, and multi-scale data integration to achieve high-resolution exposome modeling. …”
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Isolation of a Novel Bacterium Isolate Capable of Utilizing Crude Oil and Diesel Oil Spills as a Biological Bioremediation Agent by Ghydaa H. Aljeboury, AbdulSalam Tawfeeq Dawood, Rawaa A. Khalaf, Rebah N. Algafari, Rehab S. Ramadhan, Sura S. Talib

“…These were the source of novel Streptomyces isolates that could degrade contaminants and be used as a source of nutrients. …”
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Selection of an appropriate fluorescent reference material to assess microplastic recovery in natural waters by Noah A. D’Ascanio, Husein Almuhtaram, Robert C. Andrews

“…In this study, an optimal fluorescence reference suspension was developed for use in spike and recovery assessments of microplastic sampling methods when considering source and treated drinking waters. …”
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Research on Self-Diagnosis and Self-Healing Technologies for Intelligent Fiber Optic Sensing Networks by Ruiqi Zhang, Liang Fan, Dongzhu Lu

“…To address the issue of insufficient reliability of fiber optic sensing networks in complex environments, this study proposes a self-diagnosis and self-healing method based on intelligent algorithms. This method integrates redundant fiber paths and a fault detection mechanism, enabling rapid data transmission recovery through redundant paths during network faults, ensuring the stable operation of the monitoring system. …”
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Service-Level Objective-Aware Load-Adaptive Timeout: Balancing Failure Rate and Latency in Microservices Communication by Hiroki Hanada, Keisuke Ishibashi

“…The proposed method was implemented as an open-source Go library and evaluated using the Online Boutique benchmark under various load conditions. …”
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Design and Finite Element Analysis of Brake Disc Heat Dissipation Rib for Urban Rail Transit Vehicle by WU Na, SONG Hao, YANG Jianwei, WU Chunguang, WANG Chengxu

“…[Result & Conclusion] Both the design schemes of the wheel-mounted straight-plate heat dissipation ribs and the axle-mounted cylindrical heat dissipation ribs significantly optimize the heat dissipation paths, improving the transfer efficiency of heat from the heat source to the external cooling medium. …”
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A Semianalytical Approach for Production of Oil from Bottom Water Drive Tight Oil Reservoirs with Complex Hydraulic Fractures by Shuhui Dai, Chunqiang Chen, Hao Wang, Zhaohui Fu, Dameng Liu

“…Based on the fractal theory, a semianalytical model is presented to simulate a complex fracture system by using the volumetric source method and superposition principle, and the solutions are determined iteratively. …”
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Real-Time LiDAR–Inertial Simultaneous Localization and Mesh Reconstruction by Yunqi Cheng, Meng Xu, Kezhi Wang, Zonghai Chen, Jikai Wang

“…Firstly, to reduce the odometry drift errors we use scan-to-map matching, and inter-frame inertial information is used to generate prior relative pose estimation for later LiDAR-dominated optimization. Then, based on the motivation that the unevenly distributed residual terms tend to degrade the nonlinear optimizer, a novel residual density-driven Gauss–Newton method is proposed to obtain the optimal pose estimation. …”
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Identification of Megaconstellations in Wide-field Astronomical Images with Machine Learning by Liu Liu, Rongyu Sun, He Zhao

“…Our method presented can be used as an auxiliary tool for reduction pipeline optimization and improving source measurements, and it deserves wide applications in similar tasks.…”
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Analysis and Calculation of Energy Storage Configuration in Power System by Yu DONG, Gaofeng FAN, Cun DONG, Ruoying YU, Junyi ZHAO

“…Starting from the overall operation demand of the power system, this paper summarized three key factors that should be considered for the energy storage configuration: the source-grid-load development, the replacement effect of energy storage on conventional units, and the comprehensive optimization of energy storage charging/discharging strategies. …”
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Advances in Wastewater-Based Epidemiology for Pandemic Surveillance: Methodological Frameworks and Future Perspectives by Weihe Zhu, Daxi Wang, Pengsong Li, Haohao Deng, Ziqing Deng

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Black currant cultivars, developed at the Polli Horticultural Research Center (Estonia), in Northwest Russia by O. A. Tikhonova, V. S. Popov

“…Cv. ‘Varmas’ is a source of earliness, high self-fertility, and dessert taste of berries.…”
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Resource Management Based on Security Satisfaction Ratio with Fairness-Aware in Two-Way Relay Networks by Jun Zhao, Zhaoming Lu, Xiangming Wen, Haijun Zhang, Shenghua He, Wenpeng Jing

“…We model the security resource management problem as a mixed integer programming problem, which is decomposed into three subproblems, distributed power allocation, distributed subchannel allocation, and distributed subchannel pairing, and then solved it in constraint particle swarm optimization (CPSO), binary CPSO (B_CPSO), and classic Hungarian algorithm (CHA) method, respectively. …”
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