A novel smart community: Combining a flexible heating system as electrical demand response to enhance local renewable energy integration by Yufei Xi, Yuguang Song, Meng Chen, Jiansheng Zhang, Lin Cheng, Zhe Chen

“…A hybrid solution architecture combining branch-and-reduce with multi-learning-task is proposed to efficiently solve the mixed-integer nonlinear programming (MINLP) model and generate multiple optimal Pareto solutions. …”
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Bioluminescent Whole-Cell Bioreporter Bacterial Panel for Sustainable Screening and Discovery of Bioactive Compounds Derived from Mushrooms by Calin Trif, Jovana Vunduk, Yardnapar Parcharoen, Aporn Bualuang, Robert S. Marks

“…The bioassay’s strength is its ability to efficiently analyze a large number of extracts simultaneously while also assessing several different mechanisms of toxicity, significantly reducing screening time. …”
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Bacterial pathogens dynamic during multi-species infections by Barny, Marie-Anne, Thieffry, Sylvia, Gomes de Faria, Christelle, Thebault, Elisa, Pédron, Jacques

“…Worldwide potato field surveys identified 15 different SRP species on symptomatic plants and tubers. …”
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Numerical Prediction of Fatigue Life for Landing Gear Considering the Shock Absorber Travel by Haihong Tang, Panglun Liu, Jianbin Ding, Jinsong Cheng, Yiyao Jiang, Bingyan Jiang

“…Only 84 FE simulations are needed to efficiently obtain the fatigue stress spectra from the ground load spectra. …”
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What patients with lung cancer with comorbidity tell us about interprofessional collaborative care across healthcare sectors: qualitative interview study by Michel Wensing, Johanna Forstner, Michael Thomas, Jasmin Bossert, Matthias Villalobos, Anja Siegle, Corinna Jung, Nicole Deis, Katja Krug

“…Background Patients with lung cancer with comorbidity often require treatment and care by different health professionals, in different settings and at different points in time during the course of the disease. …”
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Notch3 Targeting: A Novel Weapon against Ovarian Cancer Stem Cells by Simona Ceccarelli, Francesca Megiorni, Diana Bellavia, Cinzia Marchese, Isabella Screpanti, Saula Checquolo

“…Although it is still unclear how chemoresistance arises, different lines of evidence support a critical role of cancer stem cells (CSCs), suggesting that CSC targeting by innovative therapeutic approaches might represent a promising tool to efficiently reduce OC recurrence. …”
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Advancing Supercapacitors with Coconut Rachis Activated Carbon: A Sustainable Electrode Material by Bindhu Devu, Sreekala Chandrasekharan Omanaamma, Misnon Izan Izwan, Jose Rajan

“…The coconut rachis-derived activated carbon features a high surface area (around 1630 m2·g−1) and a honeycomb-like surface structure, which enhance its ability to adsorb electrolyte ions efficiently. This carbon is termed as honeycomb-shaped porous carbon (HSPC). …”
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Self-Denoising of BOTDA Using Deep Convolutional Neural Networks by Di Qi, Chun-Kit Chan, Xun Guan

“…The Bernoulli mask and the partial convolutional layer implemented in the encoding process help capture the input features efficiently, while the dropout in the decoding process extends the feasibility and generality of the proposed network. …”
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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Finally, multiple experiments under different conditions are conducted, and the results demonstrate that the proposed CGKAN method, by integrating the individual advantages of 1D-CNN, BiGRU, and KAN, efficiently captures complex nonlinear patterns in battery health features and maintains stable performance across various operating conditions.…”
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Effect of Ultrasonic Frequency on Thickener Performance by Gongcheng Li, Shulong Liu, Zengsheng Wen, Guolei Liu, Yu Cui, Yajian Shao

“…Furthermore, in order to efficiently facilitate the separation of released water and solid sediments, a continuous thickening system with ultrasonic equipment has been used to investigate the thickening performance of copper-mine tailings under different ultrasonic frequencies (16 kHz, 20 kHz, 22 kHz, 25 kHz, and 28 kHz). …”
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Perceived Risk Assessment Criteria for Public–Private Partnership Projects in the Water and Sewage Sector: Comparison of Perspectives from Iranian Public and Private Sectors by Leila Moradi Shahdadi, Babak Aminnejad, Hadi Sarvari

“…In contrast, the private sector prioritizes the “ability to predict and discover risk”, emphasizing efficiently anticipating and managing uncertainty. Furthermore, this study revealed five common major risk characteristics, including “risk manageability” and “uncertainty of risk”; however, their rankings differ per industry, demonstrating various risk prioritizing methodologies. …”
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ID-insensitive deepfake detection model based on multi-attention mechanism by Yuncan Sheng, Zhengrui Zou, Zongxuan Yu, Mengxue Pang, Wei Ou, Wenbao Han

“…Specifically, the proposed multi-attention deepfake detection model consists of the following three parts: (1) Texture Feature Enhancement: We employ CondenseNet to enhance texture features efficiently, preserving subtle details and ensuring feature integrity; (2) Multi-Scale Artifact Detection: We introduce an artifact detection module that identifies potentially manipulated regions, enabling localized detection and minimizing the impact of identity information. (3) Multi-Attention Mechanism: By generating multiple attention maps, our model prioritizes different regions of the input image, fusing both texture and local features to improve classification performance. …”
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MIMD Programs Execution Support on SIMD Machines: A Holistic Survey by Dheya Mustafa, Ruba Alkhasawneh, Fadi Obeidat, Ahmed S. Shatnawi

“…The Single Instruction Multiple Data (SIMD) architecture, supported by various high-performance computing platforms, efficiently utilizes data-level parallelism. The SIMD model is used in traditional CPUs, dedicated vector systems, and accelerators such as GPUs, vector extensions, and Xeon Phi. …”
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Research on damage detection technology for wind turbine blade acoustic signals by fusion of sparse representation, compressive sensing and deep learning by Liang Wang, Chun Yang, Chao Yuan, Yanan Liu, Yanqing Chen

“…It has good adaptability under different computing resources, and the processing delay does not exceed 0.45s under complex environments and large data volumes. …”
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Identifying Behaviours Indicative of Illegal Fishing Activities in Automatic Identification System Data by Yifan Zhou, Richard Davies, James Wright, Stephen Ablett, Simon Maskell

“…We then applied a KD-tree to efficiently identify pairs of ships that are close to one another. …”
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USP1/UAF1 targets polyubiquitinated PCNA with an exo-cleavage mechanism that can temporarily enrich for monoubiquitinated PCNA by Niels Keijzer, Jan Sakoltchik, Kaustav Majumder, Nina van Lil, Farid El Oualid, Alexander Fish, Titia K. Sixma

“…Here we show that USP1/UAF1 cleaves both K48 and K63-linked ubiquitin chains on PCNA efficiently, using an exo-cleavage mechanism. Kinetic analysis reveals that USP1/UAF1 prefers cleaving the ubiquitin-ubiquitin bond over cleavage of the ubiquitin-PCNA bond and therefore treats poly- and monoubiquitinated PCNA as different substrates. …”
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Parametric study and optimization of energy consumption in batch reverse osmosis for constant permeate flowrate by Abdeljalil Chougradi, Ahmed Abed

“…Our goal is to investigate how different parameters impact energetic performance and production flowrate. …”
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Mapping Bus and Stream Travel Time Using Machine Learning Approaches by Gopikrishnan Nair, B. Anil Kumar, Lelitha Vanajaskshi

“…Results show that the proposed methods can efficiently map bus travel times with stream travel times with an average MAPE of 20% and perform better than existing approaches such as linear regression and artificial neural networks.…”
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Enhanced Fault Diagnosis in Milling Machines Using CWT Image Augmentation and Ant Colony Optimized AlexNet by Niamat Ullah, Muhammad Umar, Jae-Young Kim, Jong-Myon Kim

“…The enhanced images are fed into a modified AlexNet model with three residual blocks to efficiently extract both spatial and temporal features from the CWT images. …”
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Failure Assessment for the High-Strength Pipelines with Constant-Depth Circumferential Surface Cracks by X. Liu, Z. X. Lu, Y. Chen, Y. L. Sui, L. H. Dai

“…In the oil and gas transportation system over long distance, application of high-strength pipeline steels can efficiently reduce construction and operation cost by increasing operational pressure and reducing the pipe wall thickness. …”
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