Review of impression creep test: a small-scale testing method for evaluation of creep properties of materials by Naveena, M. D. Mathew, Shin-Ichi Komazaki

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Dynamic Maternal Gradients Control Timing and Shift-Rates for Drosophila Gap Gene Expression. by Berta Verd, Anton Crombach, Johannes Jaeger

“…We use a newly developed method for the analysis of transient dynamics in non-autonomous (time-variable) systems to understand the regulatory causes of these effects. …”
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Nominative Specificity of English Marketing Terminology by I. B. Rubert, T. S. Rosyanova, S. V. Kiselieva

“…Nominative originality of marketing terminology has been revealed within the idea of continually changing specific autonomous and self-sufficient consumer models reflected in micro-systems of terms nominating and verbalizing holistic concepts of the authors. …”
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Regional transport of aerosols from northern India and its impact on boundary layer height and air quality over Chennai, a coastal megacity in southern India by S. Ali, S. Ali, C. Sarangi, S. K. Mehta

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The global burden of osteoarthritis hand: lessons from the Global Burden of Disease Study 1990–2021 by Jiyong Wei, Zhongyi Su, Songmu Pan, Zhuan Zou, Gui Liao, Guangxiong Li, Huijiang Liu, Guipeng Lan, Ronghe Gu, Yanni Lan

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Enhanced Heat-Powered Batteryless IIoT Architecture with NB-IoT for Predictive Maintenance in the Oil and Gas Industry by Raúl Aragonés, Joan Oliver, Carles Ferrer

“…The methodology presented standardises the modelling and simulation of Waste Heat Recovery Systems (IoT-WHRSs), demonstrating their feasibility through statistical analysis of IoT-WHRS architectures. …”
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Redefining Leadership: The Role of Spirituality and Motherhood in Muslim Women’s Educational Leadership by Fella Lahmar

“…This paper contends that the current educational leadership models are predominantly Western, failing to capture the unique experiences and perspectives of female Muslim leaders who reject framing their perspectives within feminist parameters. …”
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A Systematic Literature Review on Load-Balancing Techniques in Fog Computing: Architectures, Strategies, and Emerging Trends by Danah Aldossary, Ezaz Aldahasi, Taghreed Balharith, Tarek Helmy

“…This review categorizes fog computing architectures, load-balancing algorithms, scheduling and offloading techniques, fault-tolerance mechanisms, security models, and evaluation metrics. The analysis reveals that three-layer (IoT–Fog–Cloud) architectures remain predominant, with dynamic clustering and virtualization commonly employed to enhance adaptability. …”
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Embracing competency-based education for modern dental practice by Galvin Sim Siang Lin, Tong Wah Lim, Mariana Minatel Braga

“…It also involves a detailed analysis of these frameworks and their application in designing competency-based curricula. …”
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Development Status and Trend of Mine Intelligent Mining Technology by Zhuo Wang, Lin Bi, Jinbo Li, Zhaohao Wu, Ziyu Zhao

“…(ii) The edge layer leverages 5G and edge computing to accomplish real-time data processing, 3D dynamic modeling, and safety early warning. (iii) The cloud layer realizes digital planning and intelligent decision-making, based on the industrial Internet platform. …”
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Failure Management Overview in Optical Networks by Sergio Cruzes

“…The potential of large language models (LLMs) and digital twins (DTs) for further advancements in automating failure management, optimizing performance, and network optimization in optical networks is also examined. …”
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Exploration of Advanced Applications of Triboelectric Nanogenerator-Based Self-Powered Sensors in the Era of Artificial Intelligence by Yifeng Su, Dezhi Yin, Xinmao Zhao, Tong Hu, Long Liu

“…First, the evolution of Deep Learning is reviewed, highlighting the advantages, limitations, and application domains of several classical models. Next, the innovative applications of intelligent sensors in autonomous driving, wearable devices, and the Industrial Internet of Things (IIoT) are discussed, emphasizing the critical role of neural networks in enhancing sensor precision and intelligent processing capabilities. …”
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DC/DC converter to power spectral lamps by M. Yu. Nikolshin, A. V. Frunze, V. K. Bityukov

“…The experimental verification confirmed the correctness of calculations and modeling of a high-voltage DC/DC converter for powering hollow cathode spectral lamps.…”
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Calculation of the main operational characteristics of a tethered high-altitude ship-based system by I. I. Dawlyud

“…The study used methods of systemic and functional analysis of tethered system parameters, as well as methods and models of the theory of relations and measurement.Results. …”
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Machine Learning Enhanced Multimodal Bioelectronics: Advancement Toward Intelligent Healthcare Systems by Myoungjae Oh, Enji Kim, Jakyoung Lee, Inhea Jeong, Eunmin Kim, Joonho Paek, Taekyeong Lee, Dayeon Kim, Seung Hyun An, Sumin Kim, Jung Ah Lim, Jang‐Ung Park

“…Machine learning has emerged as an essential tool for data interpretation and real‐time decision‐making through addressing challenges in broad data integration, feature extraction, and predictive modeling. Implementation of machine learning to multimodal devices extend their capabilities beyond conventional biosensors, performing crossmodal correlation analysis, real‐time anomaly detection, and situation‐dependent feedback. …”
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Declining Lake Water Levels and Suitable Wind Conditions Promote Locust Outbreaks and Migration in the Kazakhstan–China Area by Shiqian Feng, Xiao Chang, Jianguo Wu, Yun Li, Zehua Zhang, Li Zhao, Xiongbing Tu

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Endoscopic variceal ligation combined with carvedilol versus endoscopic variceal ligation combined with propranolol for the treatment of oesophageal variceal bleeding in cirrhosis:... by Jing Wang, Meng Li, Lei Wang, Li Zhang, Ling Yang, Jian Wang, Duolao Wang, Rong Wang, Ya Peng, Chao Ma, Yiling Li, Yi Chen, Jing Xu, Xiaolong Qi, Hua Ye, Zhendong Jin, Hongyun Zhao, Wei Yan, Liwei Zhang, Chuan Liu, Andres Cardenas, Li Du, Ying Song, Biao Xie, Zhi Wei, Jianzhou Li, Wenhui Zhang, Qinghua Pan, Huiling Xiang, Shaoting Zhang, Shuairan Zhang, Xuan Liang, Shengjuan Hu, Lijun Peng, Xiaojie Zhang, Jingyi Xu, Xiaochao Liu, Huanhai Xu, Zhixu Fan, Lichun Shao, Pengyuan He, Qianlong Li, Yunhai Wu, Liyao Zhang, Dianliang Fang, Quanke Li, Dongli Xia, Yuchen Lv, Zongchao Zhang, Chaoguang Yan, Yuxia Wan, Haiming Fang, Wenlong Yang, Xiangman Zhang, Wei Rao, Xiurong Xia, Qiang Qiao, Ruimiao Yu, Changzhen Ren, Yuejun Yang, Zhenzhen Zhai, Xuejin Liu, Xingjun Lu, Yansheng Jia

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AI-based pelvic floor surface electromyography reference ranges and high-precision pelvic floor dysfunction diagnosisResearch in context by Juan Chen, Jiahui Yao, Wei Chen, Feng Zhang, Heyuan Wang, Xiaoying Xu, Huan Ge, Hongmei Zhou, Jin Cen, Dan Li, Bengui Jiang, Li He, Tingting Fu, Zhengxian Xu, Lei Chu, Shuxia Zhang, Dongmei Yao, Linyi Wei, Liu Huang, Anjing Ge, Cuiping Jin, Zimu Fu, Qin Liu, Xuefeng Yu, Chengmao Zhao, Tengjiao Wang, Lan Zhu

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Industrial multi-machine data aggregation, AI-ready data preparation, and machine learning for virtual metrology in semiconductor wafer and slider production by Feiyang Ou, Julius Suherman, Chao Zhang, Henrik Wang, Sthitie Bom, James F. Davis, Panagiotis D. Christofides

“…Companies are already collecting large amounts of operational data from these tools that can be aggregated and leveraged for virtual metrology and other control, diagnostic, and management solutions. AI/ML/DS modeling involves monitoring the state of an operation in real-time to continuously learn and improve on human centered, automated, and autonomous actions. …”
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Associations between milk infrared-predicted plasma biomarkers of stress resilience and fertility in dairy cattle: Insights for enhancing breeding programs and herd management by Alessio Cecchinato, Hugo Toledo-Alvarado, Lucio Flavio Macedo Mota, Vittoria Bisutti, Erminio Trevisi, Riccardo Negrini, Sara Pegolo, Stefano Schiavon, Luigi Gallo, Giovanni Bittante, Diana Giannuzzi

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