Dynamic Closed-Loop Validation of a Hardware-in-the-Loop Testbench for Parallel Hybrid Electric Vehicles by Marc Timur Düzgün, Christian Heusch, Sascha Krysmon, Christian Dönitz, Sung-Yong Lee, Jakob Andert, Stefan Pischinger

“…The complexity and shortening of development cycles in the automotive industry, particularly with the rise in hybrid electric vehicle sales, increases the need for efficient calibration and testing methods. …”
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Enabling Parallel Performance and Portability of Solid Mechanics Simulations Across CPU and GPU Architectures by Nathaniel Morgan, Caleb Yenusah, Adrian Diaz, Daniel Dunning, Jacob Moore, Erin Heilman, Evan Lieberman, Steven Walton, Sarah Brown, Daniel Holladay, Russell Marki, Robert Robey, Marko Knezevic

“…Efficiently simulating solid mechanics is vital across various engineering applications. …”
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RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model by Lingling Cui, Jiacheng Liao

“…This paper investigates smart grid energy supply forecasting and economic operation management, with a focus on building an efficient energy supply prediction model. Four datasets were selected for training, and a Snake Optimizer (SO) algorithm-optimized Bigru-Attention model was proposed to construct a comprehensive and efficient prediction model, aiming to enhance the reliability, sustainability, and cost-effectiveness of the power system. …”
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State of Health Estimation for Lithium-Ion Batteries Based on TCN-RVM by Yu Zhao, Yonghong Xu, Yidi Wei, Liang Tong, Yiyang Li, Minghui Gong, Hongguang Zhang, Baoying Peng, Yinlian Yan

“…Firstly, five health factors are extracted from IC curves, and the strong correlation between these features and SOH is verified using both Pearson and Spearman coefficients, ensuring the physical rationality and statistical significance of feature selection. Secondly, the TCN-RVM model is constructed to achieve complementary advantages. …”
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Evaluating the impact of deep learning approaches on solar and photovoltaic power forecasting: A systematic review by Oussama Khouili, Mohamed Hanine, Mohamed Louzazni, Miguel Angel López Flores, Eduardo García Villena, Imran Ashraf

“…Accurate solar and photovoltaic (PV) power forecasting is essential for optimizing grid integration, managing energy storage, and maximizing the efficiency of solar power systems. Deep learning (DL) models have shown promise in this area due to their ability to learn complex, non-linear relationships within large datasets. …”
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Research advances and development trends of wire-based laser directed energy deposition additive manufacturing technology by YUAN Yucheng, SONG Jun, LUO Jiajie, LI Xiangru, SONG Bo, SHI Yusheng

“…Additive manufacturing technology， also known as 3D printing technology， has significant advantages over traditional manufacturing techniques in producing complex shapes and structures， and it is expected to achieve specific location printing and structural printing with unique properties in three-dimensional space. …”
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Enhancement of Lipid Production in <i>Rhodosporidium toruloides</i>: Designing Feeding Strategies Through Dynamic Flux Balance Analysis by María Teresita Castañeda, Sebastián Nuñez, Martín Jamilis, Hernán De Battista

“…This methodology enables the rational pre-selection of feeding strategies and strains, improving resource efficiency and reducing the probability of failed experiments.…”
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Interpretable prediction model for hand-foot-and-mouth disease incidence based on improved LSTM and XGBoost by Xiao LI, Shuyu HE, Yan PENG, Rongxin YANG, Lu TAO, Tingqi LOU, Wenqi HE

“…By simulating the selection, crossover, and mutation mechanisms in biological evolution, the GA efficiently searches for optimal solutions in the parameter space, thereby optimizing the performance of XGBoost. …”
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Novel One-Pot Solvothermal Synthesis of High-Performance Copper Hexacyanoferrate for Cs+ Removal from Wastewater by Chi Ma, Zhenzhen Jiang, Senjian Han, Yafei Guo, Tianlong Deng

“…Efficient removal of radioactive cesium from complex wastewater is a challenge. …”
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A lightweight YOLO network using temporal features for high-resolution sonar segmentation by Sen Gao, Sen Gao, Wei Guo, Wei Guo, Gaofei Xu, Gaofei Xu, Ben Liu, Ben Liu, Yu Sun, Bo Yuan

“…Future work will focus on optimizing the keyframe selection algorithm and expanding the dataset to include more complex underwater scenarios.…”
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Nano-island-encapsulated cobalt single-atom catalysts for breaking activity-stability trade-off in Fenton-like reactions by Zhi-Quan Zhang, Pi-Jun Duan, Jie-Xuan Zheng, Yun-Qiu Xie, Chang-Wei Bai, Yi-Jiao Sun, Xin-Jia Chen, Fei Chen, Han-Qing Yu

“…Characterized by minimal leaching of active sites, robust catalytic performance, and low-toxicity decontamination, this system proves highly efficient in multiple treatment cycles and complex water matrices. …”
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Design, Fabrication, and Application of Large-Area Flexible Pressure and Strain Sensor Arrays: A Review by Xikuan Zhang, Jin Chai, Yongfu Zhan, Danfeng Cui, Xin Wang, Libo Gao

“…Flexible sensors typically operate based on resistive and capacitive mechanisms, with their structural designs (e.g., sandwich and fork-finger) affecting integration, recovery, and processing complexity. The careful selection of materials—especially substrates, electrodes, and sensing materials—is crucial for sensor efficacy. …”
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SMS Scam Detection Application Based on Optical Character Recognition for Image Data Using Unsupervised and Deep Semi-Supervised Learning by Anjali Shinde, Essa Q. Shahra, Shadi Basurra, Faisal Saeed, Abdulrahman A. AlSewari, Waheb A. Jabbar

“…Machine learning models are chosen for their efficiency in handling structured text data, while deep learning models are selected for their superior ability to capture sequential dependencies and contextual nuances. …”
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Innovative gene delivery systems for retinal disease therapy by Hongguang Wu, Ling Dong, Shibo Jin, Yongwang Zhao, Lili Zhu

“…The human retina, a complex and highly specialized structure, includes multiple cell types that work synergistically to generate and transmit visual signals. …”
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Combating a Global Threat to a Clonal Crop: Banana Black Sigatoka Pathogen Pseudocercospora fijiensis (Synonym Mycosphaerella fijiensis) Genomes Reveal Clues for Disease Control. by Rafael E Arango Isaza, Caucasella Diaz-Trujillo, Braham Dhillon, Andrea Aerts, Jean Carlier, Charles F Crane, Tristan V de Jong, Ineke de Vries, Robert Dietrich, Andrew D Farmer, Claudia Fortes Fereira, Suzana Garcia, Mauricio Guzman, Richard C Hamelin, Erika A Lindquist, Rahim Mehrabi, Olman Quiros, Jeremy Schmutz, Harris Shapiro, Elizabeth Reynolds, Gabriel Scalliet, Manoel Souza, Ioannis Stergiopoulos, Theo A J Van der Lee, Pierre J G M De Wit, Marie-Françoise Zapater, Lute-Harm Zwiers, Igor V Grigoriev, Stephen B Goodwin, Gert H J Kema

“…Melting-curve assays suggest that the genomes of two closely related members of the Sigatoka disease complex, P. eumusae and P. musae, also are expanded. …”
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Optimal Fuzzy Deep Neural Networks-Based Plant Disease Detection and Classification on UAV-Based Remote Sensed Data by M. Pajany, S. Venkatraman, U. Sakthi, M. Sujatha, Mohamad Khairi Ishak

“…At the primary level, the OFDNN-PDDC technique employs an improved ShuffleNetv2 model for learning complex and intrinsic feature patterns on the RS data. …”
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Digital Technologies in Urban Regeneration: A Systematic Literature Review from the Perspectives of Stakeholders, Scales, and Stages by Xiaer Xiahou, Xingyuan Ding, Peng Chen, Yuchong Qian, Hongyu Jin

“…Urban regeneration, as a key strategy for promoting sustainable development of urban areas, requires innovative digital technologies to address increasingly complex urban challenges in its implementation. With the fast advancement of digital technologies such as artificial intelligence (AI), Internet of Things (IoT), and big data, these technologies have extensively penetrated various dimensions of urban regeneration, from planning and design to implementation and post-operation management, providing new possibilities for improving urban regeneration efficiency and quality. …”
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Study on natural gas metering technology and pricing methods in China by Yunyun XIE, Yao SU, Pengtao LI, Fan ZHANG, Wenyao LIU, Jianwen GUO

“…ConclusionPromoting reforms in natural gas metering and pricing methods not only enhances resource utilization efficiency but also ensures market fairness and transparency. …”
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Development of eco-friendly and cost-effective electrochemical sensor for the simultaneous detection of 4-aminophenol and paracetamol in water by Antía Fdez-Sanromán, Najib Ben Messaoud, Marta Pazos, Emilio Rosales, Raquel Barbosa Queirós

“…It was successfully tested in real freshwater samples, demonstrating high accuracy even in complex matrices. This innovative methodology provides a rapid, cost-effective, and portable analytical tool for routine monitoring of pharmaceutical contaminants, enabling more accurate environmental risk assessments and supporting the implementation of more efficient management strategies.…”
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Sustainable uric acid sensor based on a lab-fabricated electrode modified with rice straw-derived carbon materials by Pakin Noppawan, Jaroon Jakmunee, Andrew J. Hunt, Nontipa Supanchaiyamat, Suwiwat Sangon, Jamras Lerdsri, Thidarat Kruatian, Jantima Upan

“…Furthermore, the sensor demonstrates robust selectivity toward uric acid in the presence of typical interferents, underscoring its applicability for precise uric acid determination in complex biological matrices. …”
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