A dumpsite-isolated Bacillus safensis Z1 with protease yield for potential industrial use by Zahra Abbass Farroukh, Jamilah Borjac, Dalia El Badan

“…They provide a more efficient and environmentally friendly alternative to traditional animal- and plant-based enzymes. …”
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Non-intrusive load monitoring based on time-enhanced multidimensional feature visualization by Tie Chen, Yimin Yuan, Jiaqi Gao, Shinan Guo, Pingping Yang

“…Furthermore, utilizing transfer learning, the model trained and tested on the PLAID dataset was further tested on the WHITED dataset to increase the model’s universality and generalization ability, showing significant effects in identifying loads with similar V–I trajectories and multiple states.…”
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Plasma catalysis for sustainable industry: lab-scale studies and pathways to upscaling by Ruaa Yasir Altayeb Mohamed, Rajasekhar Komarla Kumarachari, Sarad Pawar Naik Bukke, Dorababu Neerugatti, Yesuneh Tefera Mekasha, Kishore Bandarapalle

“…With advantages like rapid response times, low thermal input, and the ability to operate at atmospheric pressures, NTP systems are well-suited for integration with renewable energy sources. …”
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An Improved Segformer for Semantic Segmentation of UAV-Based Mine Restoration Scenes by Feng Wang, Lizhuo Zhang, Tao Jiang, Zhuqi Li, Wangyu Wu, Yingchun Kuang

“…Experimental results demonstrated that the proposed method exhibited strong performance in terms of segmentation accuracy and generalization ability, effectively supporting the image analysis needs of mine restoration scenes.…”
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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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Cooperation between the Doctor and Nursing Staff in the Proces of Diagnosis and Thrombolytic Treatment of Patients in Acute Stroke Period by Anna Żdanowicz, Małgorzata Wiszniewska, Mariusz Domagalski

“…The success of treating stroke equally depends on the appropriate organization of the entire team caring for the patient. In order to efficiently conduct thrombolytic treatment in a patient with acute ischemic stroke, medical and nursing staff working in the Department of Stroke Treatment should have the following skills: high level of professional responsibility, high professional competence, have the ability to cooperate in a team and establish interpersonal contacts, including those with the patient and their family. …”
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Research review of digital modeling technologies with 3D spatial visualization for pipelines by Xin LIU, Shengwen TU, Yanfang HOU, Dong LIN, Jie SHU, Yu TANG

“…ObjectiveDigital modeling technologies with three-dimensional (3D) spatial visualization have emerged as a crucial approach in the pipeline sector, particularly for emergency repairs and operation and maintenance management, leveraging their abilities to accurately represent the 3D spatial layout of underground pipelines and offer clear visual display. …”
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ADVANTAGES ANDDISADVANTAGES OF STUDENTS’ GROUP WORK IN TEACHINGFOREIGN LANGUAGES AT UNIVERSIT by Havryliuk Nataliia

“…The questions concerned the advantages and disadvantages of this training method, the efficiency from group work, the influence on motivation, etc. …”
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Low‐carbon scheduling model of multi‐virtual power plants based on cooperative game considering failure risks by Chen Wu, Zhinong Wei, Yang Cao, Yiteng Xu, Tiantian Wei, Haiteng Han, Sheng Chen, Haixiang Zang

“…The results show that the economic and low‐carbon performance of multi‐VPPs can be improved by applying the cooperative game, which can also enhance the power system ability of resisting line faults.…”
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A Lightweight Direction-Aware Network for Vehicle Detection by Luxia Yang, Yilin Hou, Hongrui Zhang, Chuanghui Zhang

“…The mechanism can fully perceive the details and salient information of input features in multiple directions, thus improving the ability of the model to capture critical features. …”
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High-Speed and Enhanced Motion Control for a Wheeled-Legged Humanoid Robot Using a Two-Wheeled Inverted Pendulum With Roll Joint by Jaewoo An, Jun Young Kim, Myo-Taeg Lim, Yonghwan Oh

“…This framework demonstrates the potential of wheeled-legged humanoid robots to achieve dynamic, stable, and efficient locomotion in a variety of scenarios.…”
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Enhancing GANs With MMD Neural Architecture Search, PMish Activation Function, and Adaptive Rank Decomposition by Prasanna Reddy Pulakurthi, Mahsa Mozaffari, Sohail A. Dianat, Jamison Heard, Raghuveer M. Rao, Majid Rabbani

“…Generative Adversarial Networks (GANs) have gained considerable attention owing to their impressive ability to generate high-quality, realistic images from a desired data distribution. …”
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Deep Learning for Connectivity Identification in Random Subsurface Flows: A Methodological Workflow for Early Solute Arrival Time Quantification by A. Manzoni, F. P. J. deBarros, G. M. Porta, M. Riva, A. Guadagnini

“…The resulting framework is robust and efficient. It enhances our ability to assess early solute arrival times in heterogeneous aquifers and offers valuable insights into connectivity patterns associated with preferential flow paths therein.…”
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An end-to-end deep learning solution for automated LiDAR tree detection in the urban environment by Julian R. Rice, G. Andrew Fricker, Jonathan Ventura

“…We compare this model to a number of high-performing baselines on a large and varied dataset in the Southern California region, and find that our method outperforms all baselines in terms of tree detection ability (75.5% F-score) and positional accuracy (2.28 meter root mean squared error), while being highly efficient. …”
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Key nodes identification in complex networks based on subnetwork feature extraction by Luyuan Gao, Xiaoyang Liu, Chao Liu, Yihao Zhang, Giacomo Fiumara, Pasquale De Meo

“…The problem of detecting key nodes in a network (i.e. nodes with the greatest ability to spread an infection) has been studied extensively in the past. …”
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A systematic review: computer vision algorithms in drone surveillance by Hamzah Fawzy, Anas Elbrawy, Moustafa Amr, Omar Eltanekhy, Esraa Khatab, Omar Shalash

“…<p class="p1">Drones have emerged as advanced Cyber-Physical Systems (CPSs) with significant potential in data collection and environmental monitoring. Their ability to operate via wireless communication channels makes them integral to various IoT applications, such as surveillance, delivery services, traffic monitoring, and precision agriculture. …”
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Framework and Key Technologies of Human-machine Hybrid-augmented Intelligence System for Large-scale Power Grid Dispatching and Control by Shixiong Fan, Jianbo Guo, Shicong Ma, Lixin Li, Guozheng Wang, Haotian Xu, Jin Yang, Zening Zhao

“…Finally, state-of-the-art and future development of HHI in power grid regulation are summarized, aiming to efficiently improve the intelligent level of power grid regulation in a human-machine interactive and collaborative way.…”
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Advances in Doxorubicin-based nano-drug delivery system in triple negative breast cancer by Weiwei Zeng, Yuning Luo, Dali Gan, Yaofeng Zhang, Huan Deng, Guohui Liu

“…Nano-drug delivery systems possess unique targeting and ability of co-load, deliver and release chemotherapeutic drugs, active gene fragments and immune enhancing factors to effectively inhibit or kill tumor cells. …”
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Detecting Software Anomalies in Robots by Means of One-class Classifiers by Héctor Quintián, Esteban Jove, Francisco Zayas-Gato, Nuño Basurto, Carlos Cambra, Álvaro Herrero

“…The growing dependence on collaborative robots in essential industrial and service sectors raises urgent concerns regarding their reliability and ability to handle faults. Undetected software issues can degrade performance, jeopardize safety, and result in expensive downtimes. …”
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MLA-Machine Learning Approach for Dependable Battery Condition Monitoring in Electric Vehicles by Tirgar Pravin, Priya R Karpaga, Sampath Kumar Vankadara, Lakhanpal Sorabh, Raj R Gowtham, N K Rayaguru

“…By focusing on relevant data at each moment, the monitoring process enhances the model’s ability to track long- term changes in battery life. …”
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