Multiobjective Multistate System Preventive Maintenance Model with Human Reliability by Chao-Hui Huang, Chun-Ho Wang, Guan-Liang Chen

“…The study assumes that no more than one maintenance activity is performed to achieve the most appropriate preventive maintenance (PM) strategy and easy implementation and to reduce maintenance error due to human reliability. …”
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Role of dietary and nutritional interventions in ceramide-associated diseases by Shengnan Wang, Zihui Jin, Biyu Wu, Andrew J. Morris, Pan Deng

“…This article reviews the relationships between ceramides and disease pathogenesis, with a focus on dietary intervention as a viable strategy for lowering the concentration of circulating ceramides.…”
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The Mercosur-European Union agreements seen from the perspective of Argentina’s foreign policy by Alejandro Cesar Simonoff

“…The present article attempts to understand the central features of the foreign strategy of Mauricio Macri´s conservative Argentinian government (2015-2019). …”
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SEE IT, LIKE IT, BUY IT! HEDONIC SHOPPING MOTIVATIONS AND IMPULSE BUYING by Merima Činjarević, Kasim Tatić, Srđan Petrić

“…A focus on adventure, entertainment, excitement and sales may be an effective retailing strategy to stimulate impulse buying behavior. There are some of limitations in this study worthy of improvement and leads for future studies. …”
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Ameliorated Chameleon Algorithm-Based Shape Optimization of Disk Wang–Ball Curves by Yan Liang, Rui Yang, Xianzhi Hu, Gang Hu

“…Based on disk Wang–Ball (DWB) curves, this paper defines a novel combined disk Wang–Ball (CDWB) curve with constrained parameters and investigates the shape optimization of CDWB curves by using the multi-strategy ameliorated chameleon swarm algorithm (MCSA). …”
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Energia eólica no Brasil: a contribuição do Nordeste e do Rio Grando do Norte na diversificação da matriz energética by Maria Eduarda Medeiros da Silva, José Alderir da Silva

“…The adopted method will be a qualitative analysis using a deductive strategy, starting with a general analysis of the world, Brazil, the Northeast region, and finally, Rio Grande do Norte. …”
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Strategic Thinking and Merit Understanding of Public Employees During The Covid-19 Pandemic by Onur Akçakaya, Gökhan Acar

“…In conclusion, it is aimed to determine a method and form a theoretical basis according to the study results of decision makers, strategy makers, and public employees' understanding of strategic management and merit.…”
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Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

“…According to the findings, the proposed LBP-HOG strategy proves more beneficial than basic LBP and HOG techniques concerning the classification rate and computing time. …”
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STRENGTHENING THE RESEARCH OF KEY ENABLING TECHNOLOGIES FOR NEW INNOVATIONS by Sanja Tišma, Karolina Horvatinčić, Iva Tolić, Anamarija Farkaš

“…In Croatia, key enabling technologies (KETs) are recognized as one of the two cross-cutting topics able to create the biggest addedvalue and foster the emergence of new economic activities, the rising of the productivity of the Croatian economy and the creation of new and sustainable job opportunities in the Croatian Smart Specialization Strategy. In addition, Croatian scientific and research institutions have a lot of experience in KET-related projects funded by the European Union, either as a partner in international projects or having their own project. …”
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Reengineering of technological business processes of a generating energy company in modern conditions by P. M. Zaitseva, N. G. Lyubimova, A. S. Flaksman

“…With the help of a matrix of criteria, an assessment of business process importance or readiness for the implementation of the selected strategies was made. Key success factors for “Production of heat and electricity” business process were formed. …”
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The informational “cosplay journey” of Star Wars cosplayers in the context of a Facebook group by Emily Vardell, Paul Thomas, Ting Wang

“…Participants identified that their information practices had evolved over time, and they shared sophisticated strategies for sharing work-in-progress photos and updates as well as methods for organizing information for later use. …”
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Mobile network scheduling and operation information sharing method based on chaos reverse learning improved grey wolf algorithm by Xinyue YU, Yipu ZHANG, Yong ZHANG, Lin YANG, Weidong GAO, Yan GUO

“…In order to improve the effectiveness of mobile network scheduling operation information, a method of mobile network scheduling operation information sharing based on chaos reverse learning improved gray wolf algorithm was proposed.On the basis of studying the information sharing structure between the information intranet/provincial dispatching demilitarized zone (DMZ) and the network/provincial dispatching III area, the information sharing was realized through a three-layer scheduling network model including the sharing task layer, the information layer and the user layer, and the information scheduling optimization objective function to maximize the information utility was determined, and the information scheduling results were obtained by solving the objective function through the grey wolf algorithm.In order to obtain better solution results of the objective function, chaos reverse learning and information sharing search strategy were introduced to optimize the initial population and communication ability of the grey wolf algorithm, so as to obtain better solution results and realize the optimal information sharing.The test results show that the method has good application performance.The information utility values are all above 20, the deviation rate is lower than 0.12, and the goodness of fit is higher than 0.92.It can complete information sharing under different transmission modes and present the details of shared information.…”
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Considération des caractéristiques structurales comme indicateurs écologiques d’aménagement forestier au Togo (Afrique de l’Ouest) by Kossi Adjonou, Aboudou Raoufou Radji, Adzo Dzifa Kokutse, Kouami Kokou

“…The species distribution per regeneration strategy shows that most of the species preferentially regenerate by seedling (84.1 %), slightly by shoots of stumps (12.4 %) and scarcely by sucker (3.5 %). …”
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Aggregate global features into separable hierarchical lane detection transformer by Mengyang Li, Qi Chen, Zekun Ge, Fazhan Tao, Zhikai Wang

“…Then, an extended and overlapping strategy is designed, which solves the problem of insufficient information interaction between two adjacent windows of the standard multi-head attention mechanism, thereby obtaining more global information and effectively improving the detection accuracy in complex road environments. …”
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Assessing the impact of the country’s economic security on export development in the agro-industrial sector by E. V. Nagovitsyna, E. A. Bratukhina

“…While the conditions of the world markets functioning factors change, it is required the development of a new effective strategy for food security in the Russian Federation. …”
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From flower to fruit: fruit growth and development in olive (Olea europaea L.)—a review by Adolfo Rosati, Enrico Maria Lodolini, Franco Famiani

“…It is concluded that the different mechanisms regulating the different phases of fruit development, from pistil abortion to fruit set and fruit size, can be considered as different aspects of the same overall strategy, that is, adjusting fruit load to the available resources while striving to achieve the genetically determined fruit size target and the male and female fitness targets.…”
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Optimization of shotcrete manipulator motion trajectory based on AIWCPSO algorithm by SHI Can, TAN Ziliang, LEI Chao, LI Yunwang, XU Hanfei, HU Qiaowei, JI Zhendong

“…An improved multi-segment trajectory planning algorithm was developed, which incorporated a transition strategy combining linear and arc trajectories. Vertical linear motion was replaced with arc motion. …”
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Digital Transformation and Performance Optimization at XYZ Higher Education through TOGAF-Based Enterprise Architecture by Widia Febriyani, Samsudin Samsudin

“…These initiatives are critical to the university’s broader strategy of developing a robust Enterprise Architecture (EA). …”
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Bearing Fault Diagnosis Method Based on Multidomain Heterogeneous Information Entropy Fusion and Model Self-Optimisation by Renwang Song, Xiaolu Bai, Rui Zhang, You Jia, Lihu Pan, Zengshou Dong

“…The spatiotemporal approach uses a multiscene domain fusion strategy based on heterogeneous sensors (HSMSF) to extract feature fusion strategies and analyses the characteristics of the bearing fault features by multichannel processes with convolutional neural networks to vibration signals. …”
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Delay-sensitive traffic intellisense scheduling based on optimal decision tree by Xuerong WANG, Zhengzhi TANG, Yinchuan LI, Meiyu QI, Jianbo ZHU, Liang ZHANG

“…Currently, network traffic scheduling strategy cannot be intelligent and on-demand, especially in the congestion caused by sudden network failures and escort scenarios of high-value services.They cannot guarantee latency-sensitive service experience on demand.The delay-sensitive attribute requirements of different network traffic were analyzed and studied, and the internal correlation between the behavior characteristics of varying network traffic and its delay sensitivity requirements was explored.Then, AI technology was used to learn this inherent relationship and construct its mapping relationship, realizing a traffic scheduling technical solution based on the intelligent awareness of delay-sensitive traffic.At the same time, considering the practical issues of interpretability and deploy-ability of AI models, reinforcement learning (RL) technology was used to prune and optimize the interpretable decision tree model, which improved the robustness of the model and made model lighter and easier to implement in equipment deployment.Through experiments by the collected real network traffic, the decision tree model optimized by reinforcement learning could improve the awareness accuracy by 1.75% in a single inference case, and the inference performance was improved by about 30%.The experiment also proved that using micro-statistical features for multiple inferences could help improve the model accuracy; in all experiments, the scale of the decision tree model optimized by RL was reduced by about 60.0%～87.2%, and the Saras had better optimization performance than Q-learning.…”
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