Applications of Deep Learning in the Evaluation and Analysis of College Students’ Mental Health by Lanfeng Zhou

“…Firstly, the paper summarizes the fast intelligent analysis model based on the convolutional neural network system algorithm, classifies and summarizes the unique characteristics of college students’ mental health, and uses the convolutional neural network processing model to analyze, evaluate, and observe college students’ mental health combined with the big data theory. Secondly, through the expansion and utilization of multi-layer neuron self-coding neural network, the psychological health of college students is evaluated and analyzed in the psychological discipline, the discrete data structure is established by using the relevant psychological data, the psychological behavior of college students is analyzed, summarized, and classified, and the data model is filled to judge the mental health status of college students. …”
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Educational insights into digital entrepreneurship: the influence of personality and innovation attitudes by João M. Lopes, Sofia Gomes, Elisabete Nogueira

“…The results reveal that an innovative digital attitude positively influences the digital entrepreneurial intention of higher education students in Portugal. The Big-Five personality traits directly affect innovative digital attitudes but not their digital entrepreneurial intention. …”
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A Choice Behavior Model of Bike-Sharing Based on User Perception, Psychological Expectations, and Loyalty by Xingjian Xue, Zixu Wang, Xuejiao Liu, Zhou Zhou, Rui Song

“…Providing high-quality services is essential to promoting the usage of bike sharing and to reducing traffic congestion by shifting people away from private car use. …”
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Coverage Analysis for RIS-Assisted Two-Tier HetNets With Repulsion by Changshan Chen

“…Finally, we find that the CP of the TU in the real RIS-aided HetNet can be well predicted with high accuracy by our analysis in the numerical results, in which the performance comparison under different cases for different operation models of RIS is also conducted to provide a guidance for the effective utilization of RIS in practical HetNet.…”
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Enhanced Antibacterial Activity of Lactoperoxidase–Thiocyanate–Hydrogen Peroxide System in Reduced-Lactose Milk Whey by Ahmad Ni’matullah Al-Baarri, Novia Tri Damayanti, Anang Mohamad Legowo, İsmail Hakkı Tekiner, Shigeru Hayakawa

“…This solution was then added to milk, skimmed milk, untreated whey, reduced-LPO whey, reduced-lactose whey, and high-lactose solution containing E. coli at an initial count of 6.0 log CFU/mL. …”
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An embedded intrusion detection and prevention system for home area networks in advanced metering infrastructure by Sahar Lazim Qaddoori, Qutaiba Ibrahim Ali

“…Detecting anomalies in power consumption and communication is primarily a real‐time big data analytics issue regarding data mining along with a vast number of parallel streaming data from smart metres. …”
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Total productive maintenance: an in-depth review with a focus on overall equipment effectiveness measurement by Joyeshree Biswas

“…Furthermore, it will analyze the concept of the "big six losses" prevalent in various industries, encompassing factors such as quality, availability, and speed. …”
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Primary and Secondary School Teachers' Workload and the Influencing Factors: Based on the Survey Data from the Primary and Secondary Schools in City G by LI Yuan, XIE Minmin, LIU Hui

“…There are significant differences in the workload of primary and secondary school teachers under different conditions such as gender, education background, teaching experience, professional title level, and teaching stage.Both material resources and cognitive resources have predictive effects on teachers'workload.Based on this, the following suggestions are put forward for reducing the burden of teachers in big cities: establish a correct concept of teachers'workload; pay attention to the differences in teachers'workload under different conditions; coordinate the relationship between school management and education and teaching; and improve the professional quality and level of primary and secondary school teachers.…”
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A improved group quantum key distribution protocol with multi-party collaboration by Qi Yuan, Hao Yuan, MeiTong Zhou, JingJing Wen, JuYan Li, Bing Hao

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Conservation data infrastructures: From carbon accounting to multiple biodiversity and social measures by Danilo Urzedo, Nikki P. Dumbrell, Catherine J. Robinson

“…Abstract Environmental big data and analytical models are increasingly informing conservation efforts to address global climate and biodiversity crises. …”
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An Overview of the BALSAC Population Database. Past Developments, Current State and Future Prospects by Hélène Vézina, Jean-Sébastien Bournival

“…Future perspectives rest on the diversification of the sources of population data entered or connected to the database and, as a corollary, by continuous optimization of data processing and linkage procedures. In the era of 'big data', BALSAC is gradually moving from a historical population database to a multifaceted infrastructure for interdisciplinary research on the Quebec population.…”
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A review of utility of wearable sensor technologies for older person frailty assessment by Chen Yixiao, Shen Hui, Song Quhong, Zeng Xiaoxi, Yue Jirong

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Analysis of Meshing Contact Characteristics of the Gear Transmission System Based on Data Mining Technology by Li Shengjia, Ma Yali, Zhao Yongsheng, Pu Dajun, Yan Shidang

“…Aiming at the difficulty of analyzing the meshing contact characteristics of gear transmission system under the big data formed by multiple working conditions and uncertain parameters, a meshing contact characteristics analysis method of gear transmission system based on data mining technology is proposed. …”
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Research on Optimization Model of Logistics Transportation Truck Path considering Environmental Impact: Experimental Data from Xiqing District, Tianjin by Qianqian Han, Yao Sun, Qingdong Wu, Zijian Bai

“…However, some truck restriction policies might lead to a reduction in logistics transportation efficiency. With the help of big data, technology companies have developed many truck applications, such as HCB, truck home, and truck help, to provide the drivers available traffic information. …”
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Evolution of the Web: from Web 1.0 to 4.0 by Asaad Khaleel Ibrahim

“…Web 4.0 has multiple dimensions, as seen by the first examples that have appeared. Big data, augmented reality, machine-to-machine communication (M2M), cloud computing, and artificial intelligence (AI) technologies, as well as smart agents, will be able to integrate in the future years. …”
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Spouses’ personalities and marital satisfaction in Chinese families by Li Jia, Li Jia, Gerrit Antonides, Zhuomin Liu

“…We use information on both spouses’ Big-Five personality traits, and marital satisfaction. …”
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International conflicts in the mirror of constructive journalism: media geographical research by Tamara S. Yakova

“…During the study, special attention was paid to the interpretation of meanings (substantially related to international conflicts) and spatial analysis of big data. The empirical basis of the study was Google Trends statistics and data obtained as a result of processing publications of influential global mass media devoted to international conflicts and crises, interest in which was shown by Internet audiences of countries of the world (the Arab-Israeli conflict, the conflict in Afghanistan, the US-Iran conflict, the Taiwan crisis). …”
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Delayed spontaneous resolution of a double anterior chamber following deep anterior lamellar keratoplasty (DALK) by Poramaporn Luangprasert, Passara Jongkhajornpong, Kaevalin Lekhanont, Manachai Nonpassopon, Varintorn Chuckpaiwong

“…Case presentation A 65-year-old woman with lattice corneal dystrophy underwent uncomplicated DALK, during which an unrecognized type 2 big bubble was present. On postoperative day 1, a total DMD was observed, and descemetopexy was attempted. …”
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The Effect of Fans' Perceptions of Psychological Commitment to their Team on Respect and Hatred towards Opponents by Hatice Deveci Şirin, Erkan Faruk Şirin

“…The study group consists of 400 fans of clubs called as the Big Three (Beşiktaş, Fenerbahçe and Galatasaray) residing in Konya during the 2021-2022 football season. …”
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A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification by Qinghe Zheng, Mingqiang Yang, Xinyu Tian, Nan Jiang, Deqiang Wang

“…Nowadays, deep learning has achieved remarkable results in many computer vision related tasks, among which the support of big data is essential. In this paper, we propose a full stage data augmentation framework to improve the accuracy of deep convolutional neural networks, which can also play the role of implicit model ensemble without introducing additional model training costs. …”
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