Research on the relationship between key risk factors of university emergencies based on ISM-MICMAC. by Yufei Li, Xiaoyun Liu, Nanyan Hu, Xuexue Li

“…Secondly, the interpretive structure model (ISM) was used to construct a multi-layer hierarchical model of the relationship between university emergencies risk factors, clarified the hierarchical affiliation between the risk factors of university emergencies, divided the risk factors of university emergencies into surface direct factors, middle indirect factors and deep fundamental factors, and analyzed the coupling effect of various risk factors on university emergencies. …”
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Unsupervised data imputation with multiple importance sampling variational autoencoders by Shenfen Kuang, Yewen Huang, Jie Song

“…Abstract Recently, deep latent variable models have made significant progress in dealing with missing data problems, benefiting from their ability to capture intricate and non-linear relationships within the data. …”
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Question Wording Matters in Measuring Frequency of Fear of Crime: A Survey Experiment of the Anchoring Effect by Aubrey L. Etopio, Emily R. Berthelot

“…We also strongly caution researchers who wish to measure the frequency of other emotions, feelings, or behaviors. …”
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Clients’ experiences in their first entry to the operating room: a descriptive phenomenological study by Nasim Alipour, Amir Jalali, Rostam Jalali, Alireza Khatony

“…Better understanding of patients’ feelings, beliefs, or fears and recording their experiences for optimal care after surgery is helpful. …”
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Exploring mechanisms of insulin action and strategies to treat diabetes by Takayoshi Sasako

“…In the liver, insulin regulates endoplasmic reticulum (ER) stress response during feeding, whereas ER stress ‘response failure’ contributes to the development of steatohepatitis comorbid with diabetes. …”
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The Reduced-Order Model for Droplet Drift of Aerial Spraying under Random Lateral Wind by Wencheng Li, Wenyun Wang, Xiaomao Huang, Chenyang Li

“…Based on the input and output dataset of CFD, the recursive algorithm including nonlinear autoregressive exogenous model and surrogate-based recurrence framework and the deep learning method for time-series prediction called long short-term memory neural network are used to build the efficient reduced-order model, respectively. …”
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Characterization of selenium nanoparticles extracted from Bacillus subtilis and its antibacterial effects in Onychostoma macrolepis: Insight into ferroptosis by Chao Zhu, Guofan Peng, Jincan Li, Yalong Deng, Tianqi Jin, Qimin Liu, Heran Cao, Zifang Wu, Yuxuan Ma, Zhenpeng Li, Yang Wang, Lijuan Zheng, Xiangtong Yuan, Lijun Zhang, Fangxia Yang, Hong Ji, Wuzi Dong

“…In this study, we found selenium nanoparticles (SeNPs) could improve the survival rate of Onychostoma macrolepis (O. macrolepis) fry as a feed additive after a challenged by Aeromonas hydrophila (A. hydrophila). …”
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Study on Failure Characteristics and Rock Burst Mechanism of Roadway Roof under Cyclic Dynamic Load by Chunmei Zheng, Jiayan Zheng, Xiaojuan Peng, Lei Zhou

“…In order to reveal the essence of rock burst of a hard roof in the process of roadway excavation, the particle discrete element method is used to establish a roadway model and simulate the disturbance of harmonic dynamic load based on the analysis of a rock burst accident in a deep mine. The crack field, stress field, displacement field, and kinetic energy of roadway surrounding rock disturbed by cyclic dynamic load were analyzed, and the disaster mechanism of roadway impacting roof instability was discussed. …”
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Distinct relative abundances in pathogens detected in mechanically ventilated patients with suspected pneumonia in the intensive care unit at King Abdulaziz University Hospital by Haifa Algethamy, Diyaa H. Bokhary, Ibrahim Abushoshah, Abdulrahman A. Alalyani, Maan K. Baamer, Dalya M. Attallah, Ruba M. Alotaibi, Shehla N. Amin, Shaza A. Mass, Nisreen R. Tashkandy

“…Abstract In this study, we present for the first time the landscape of the lung microbiota in patients with ventilator-associated pneumonia in Intensive Care Units in Saudi Arabia. DNA from 83 deep endotracheal aspirate lung samples was subjected to PacBio sequencing to identify pathogens in comparison with conventional diagnostic techniques. …”
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3D printing driving innovations in extreme low-temperature energy storage by Shutong Qin, Jiao Dai, Haoran Tian, Hanyuan Zhang, Jingru Huang, Tianqi Guan, Weilin Xu, Jun Wan

“…Extreme low-temperature environments, such as those in aerospace, polar expeditions, and deep-sea exploration, demand efficient energy storage systems. …”
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Experimental Investigation of the Anchoring Effect of Two Different Types of Rock Bolts on Fractured Rock by Rongchao Xu, Hui Zhou

“…A deep understanding of the anchoring effect of rock bolts on fractured rock is essential for support design in rock engineering. …”
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Experimental and Thermal Investigation on Powder Mixed EDM Using FEM and Artificial Neural Networks by Venkata N. Raju Jampana, P. S. V. Ramana Rao, A. Sampathkumar

“…Further, back propagated neural network (BPNN) with feed forward architecture with analysis of variance (ANOVA) is used to find the best fit and approximate solutions to optimization and search problems. …”
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The Wood Pellet Sector: Barriers to Growth and Opinions of Manufacturers in Poland by Anna Klepacka, Wojciech Florkowski

“…Additionally, the expanding area of private Polish forests may become a source of much-needed raw material for wood pellet manufacturing.…”
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Staff development for generative artificial intelligence and collaborative learning using Iterationism as a theoretical framework by Nicholas Bowskill, David Hall, Melody Harrogate, Ebere Eziefuna, Ben Marler

“…They are (1) that online lecturers occupy and create third spaces across different modes; (2) that collaboration on applications of AI technologies can address relational tensions highlighted in third space research (Daza, Gudmundsdottir and Lund, 2021); (3) that AI can be understood as a third space for the way it feeds into discussions across students, academics, and external organisations; and (4) that we have developed theory from cross-modal third space practice. …”
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Detection of Helicobacter suis bacteria in pigs of different age groups by F. M. Nurgaliev

“…The origin of this pathology is most often associated with the type and the technologies of feeding, stresses and disorders of homeostasis of the animal body. …”
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Impetus of US hospital leaders to invest in patient-reported outcome measures (PROMs): a qualitative study by Andrea L Pusic, Marilyn Heng, Danny Mou, Rachel C Sisodia, Meredith B Rosenthal, Barbara Bokhour, Christer Mjåset, Claire M Sokas, Azan Virji

“…Most hospital leaders have reservations about using PROMs in their current state as a meaningful performance metric.Conclusion These findings suggest that hospital leaders feel a strong moral imperative to collect PROMs, which is also supported by the culture of their institution. …”
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Study on Damage Model and Damage Evolution Characteristics of Backfill with Prefabricated Fracture under Seepage-Stress Coupling by Jifeng Hou, Zhongping Guo, Weizhen Liu, Hengze Yang, WenWu Xie

“…The research results can provide a theoretical basis for the study of the stability of backfill with geological defects such as joints and fractures in deep high-stress and high-seepage water pressure coal mines.…”
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Exploring Lessons from Soviet Diplomacy and Western Allied Cooperation in World War II by V. O. Pechatnov

“…This hesitance, the article argues, was rooted not just in geopolitical considerations but also in deep-seated cultural factors, particularly the traditional Western sense of superiority and perception of Russia as a 'lesser' civilization not fit for inclusion in the Euro-Atlantic community. …”
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Genomic Characterization of <i>Laodelphax striatellus</i> Permutotetra-like Virus and Self-Cleavage Function of Viral Capsid Protein by Jun Piao, Jiarui Zhang, Lujie Zhang, Jingai Piao, Haitao Wang, Yilin Xie, Shuo Li

“…<i>Laodelphax striatellus</i> permutotetra-like virus (LsPLV) is a novel insect virus identified via small RNA deep sequencing. At present, there is a lack of awareness of LsPLV, restricting research on its utilization in biocontrol. …”
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Mid-infrared spectra of dried and roasted cocoa (Theobroma cacao L.): A dataset for machine learning-based classification of cocoa varieties and prediction of theobromine and caffe... by Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán

“…This dataset provides a basis for further research, enabling the integration of mid-infrared spectral data with HPLC (as a standard) to fine-tune machine learning and deep learning models that could be used to simultaneously predict the theobromine and caffeine content, as well as cocoa variety in both dried and roasted cocoa samples using a non-destructive approach based on spectral data. …”
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