New Rotation Periods from the Kepler Bonus Background Light Curves by Zachary R. Claytor, Jamie Tayar

“…However, due to Kepler’s large 4″ pixels, many of its light curves are at high risk of contamination from background sources. The new Kepler Bonus Background light curves are deblended using a point-spread function algorithm, providing light curves of over 400,000 new background sources in addition to over 200,000 reanalyzed Kepler prime targets. …”
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The burden of intracerebral hemorrhage attributable to ambient particulate matter pollution in five Asian countries: a 32-year comparative analysis by Rui Yang, Xingke Wang, Panpan Hao

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Modelling and Forecasting Energy Efficiency Impact on the Human Health by Yuliia Matvieieva, Hedy Ben Hamida

“…In turn, businesses and industries pay more attention to developing renewable energy sources. Google Trends analysis of the popularity of the search query «renewable energy» identified Korea, Turkey, Nigeria, Bangladesh, and Germany as leaders in the number of queries. …”
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Preliminary Design of a GNSS Interference Mapping CubeSat Mission: JamSail by Luis Cormier, Tasneem Yousif, Samuel Thompson, Angel Arcia Gil, Nishanth Pushparaj, Paul Blunt, Chantal Cappelletti

“…First, a flexible, low-cost GNSS interference detection payload capable of characterising and geolocating the sources of radio interference regarding the E1/L1 and E5a/L5 bands will be demonstrated on a global scale. …”
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Double-moment normalization of hail size number distributions over Switzerland by A. Ferrone, J. Kopp, M. Lainer, M. Gabella, U. Germann, A. Berne

“…These results highlight the invariance of the normalized distribution and the adaptability of the method to different data sources.</p>…”
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THEORY AND PRACTICE OF ASSESSING THE LEVEL OF INSTABILITY OF THE EXTERNAL ENVIRONMENT OF THE ENTERPRISE IN A HYBRID WAR by I. Zapukhliak, A. Shegda, О. Mykytiuk, T. Onysenko, K. Petrenko

“…The article proposes a methodological approach to comprehensive assessment of the level of instability of environmental factors of enterprises, which, unlike others, involves the detection of instability in terms of seven components (socio-demographic, economic, technological, environmental, political, legal, ethical) on four criteria: complexity, interdependence, variability and uncertainty of factors, which makes it possible to determine their sources and nature, and thus form an effective response of the enterprise to change. …”
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Machine learning models for clinical and structural knee osteoarthritis prediction: Recent advancements and future directions by Gabby B. Joseph, Charles E. McCulloch, Michael C. Nevitt, Nancy E. Lane, Sharmila Majumdar, Thomas M. Link

“…For total knee replacement outcomes, ML models have demonstrated strong performance, offering the potential for both early intervention and surgical planning.This review also discusses emerging directions for ML in OA research, including the integration of multimodal data sources, the development of interpretable and explainable ML models, and the use of automated ML to streamline model development. …”
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Multi-Objective Optimal Trajectory Planning for Woodworking Manipulator and Worktable Based on the INSGA-II Algorithm by Jiaping Yi, Changqing Zhang, Sihan Chen, Qinglong Dai, Hang Yu, Guang Yang, Leyuan Yu

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Unveiling hidden contaminants: a systematic quantification and characterization of microplastics in hemodialysis and peritoneal dialysis fluids by Ekrem Kara, Kamil Konur, Yasemen Şentürk Koca, Ülgen Aytan

“…These findings highlight a potential, yet underrecognized, source of MP exposure in dialysis patients, necessitating further investigation into the implications of chronic MP absorption on renal function and systemic health. …”
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Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…ConclusionsIn clinical practice, our tool would enable the automated monitoring and detection of risk points throughout all clinical trial stages; accurately identify the most relevant trial procedure and function line; and notify quality management personnel, in real time, to take prompt actions and dynamically prevent the recurrence of quality issues.…”
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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

“…These developments have resulted in more comprehensive functionalities for visualization systems and improved operational and maintenance efficiency. …”
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Utilising machine learning classification models for meteorological drought monitoring and analysis by Iqra Mumtaz, Rizwan Niaz, Zamama Sajid, Abdu Qaid Alameri, Zulfiqar Ali, Khaled A. Gepreel

“…These findings highlight the superior performance of SVM in drought prediction and emphasise the importance of model selection and data preprocessing in enhancing drought monitoring for improved water resource management and climate adaptation strategies.…”
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Spatiotemporal Dynamics of Bacterial Community Assembly and Co-Occurrence Patterns in Biological Soil Crusts of Desert Ecosystems by Runze Bao, Kai Tang, Yanfu Ji, Shengnan Zhang, Chunying Wang, Yungang Liang, Xiujuan Zhao, Jianyu Meng

“…In contrast, cyano-BSCs exhibited a lower diversity, but Cyanobacteria demonstrated the highest photosynthetic function. Among the different deserts, the community assembly of samples from the eastern Inner Mongolia deserts was largely influenced by environmental selection, whereas stochastic processes were more prominent in the central and western desert regions. …”
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Urban Hierarchy Migration Model and Impact Mechanism of Graduates Admitted to the Guangdong Provincial Civil Service Examination by Wu Jinghao, Liu Ye, Tang Honglin

“…The decision-making and selection process in the selection mechanism for the migration mode of newly recruited graduates in the civil service examination is complex and dynamic, involving the interaction of multiple factors, such as government policy guidance, job characteristics, personal factors, and urban conditions, with objective limitations, personal abilities and resources, and subjective willingness. …”
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Trust and AI weight: human-AI collaboration in organizational management decision-making by Yanjun Wen, Jiale Wang, Xiaoxi Chen

“…Study 2 surveyed 210 managers using employee performance evaluation tasks.ResultsThe results of Study 1 indicated that trust in AI enhances the decisional weight attributed to AI agents, and willingness to collaborate with AI mediates trust in AI and the weight of AI in personnel selection. The findings of Study 2 revealed that the perceived free will of AI agents negatively moderates the relationship between trust in AI and willing to collaborate with AI, such that the relationship is weaker when individuals perceive a higher degree of free will in AI agents than a lower degree.DiscussionTheoretically, this paper advances the understanding of the function of trust in human-AI interaction by exploring the trust development from attitude to act in human-AI cooperative decision-making. …”
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Physarum-inspired multi-parameter adaptive routing protocol for coal mine hybrid wireless mesh networks by Guangzhi Han, Haifeng Jiang, Liansheng Lu, Shanshan Ma, Shuo Xiao

“…Mesh clients with application service and routing function in hybrid wireless mesh networks can form a highly robust hybrid network with mesh routers. …”
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Polyphenolic Metabolites and Antioxidant Activities of Alpinia katsumadai Hayata. and Its Adulterants by DING Shuxian, YANG Qing, WANG Qinglong, WANG Zhunian, YUAN Langxing, FENG Shixiu,LIU Mengting, YIN Haiquan, ZHANG Aling, WANG Maoyuan

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WRKY gene family of Licorice (Glycyrrhiza uralensis): identification and expression analysis in response to abiotic stress by Rui Li, Jing Gao, Nan Wang, Yonggang Yan, Gang Zhang, Jiakun Yan

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Preliminary Investigation of GC–MS Profiling and Antibacterial Activities of Different Solvent Extracts From Litchi chinensis Sonn. Seed by Samia Sharmin, Ali Ahsan Muzahid, Md. Mohibul Islam, Mst. Sarmina Yeasmin, Amit Kumar Dey, Md. Jasim Uddin, G. M. Masud Rana, Jaytirmoy Barmon, Safaet Alam, Md. Nurul Huda Bhuiyan, Nazim Uddin Ahmed

“…Eventually, comprehending the potential biological functions of the detected compounds is explored. GC–MS analysis revealed a diverse array of chemical compounds, with 34, 35, and 25 compounds identified in the n-hexane, n-hexane–chloroform (2:1), and methanol extracts, respectively. …”
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Efficient Schemes for Optimizing Load Balancing and Communication Cost in Edge Computing Networks by Efthymios Oikonomou, Angelos Rouskas

“…However, the placement of edge servers should match the level of demand for computing resources and the location of user load. Thus, it is necessary to devise schemes that select the most appropriate access nodes to host computing services and associate every remaining access node with the most proper service node to ensure optimal service delivery. …”
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