The estimation of efficiency of insect traps of various construction for phytosanitary monitoring by O. Yu. Kremneva, V. T. Sadkovsky, Yu. G. Sokolov, V. Ya. Ismailov, R. Yu. Danilov

“…As a result, it was established that the conical trap equipped with an aspirator (AKL-2) was the most efficient. The efficiency of this trap is almost two times higher than that of the trap KL-2 and 20-30% higher than the trap KLP-1. …”
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Influence of Mobile Payment on Bus Boarding Service Time by Guojun Chen, Weilun Chen, Shuyang Zhang, Dong Zhang, Haode Liu

“…According to the payment choice, result, and process, we introduce the first-choice-based, the last-choice-based, and the choice-transfer-based models, respectively. …”
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THE LEGAL REGIME OF BUDGETARY FUNDS: BALANCING EFFICIENT USE AND CONTROL by Anton Shukhnin

“…The objective of the present study is twofold: firstly, to identify the current challenges in the implementation of the efficiency principle in public spending, and secondly, to draw comparative insights from the practices of the European Union and the United States. …”
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Distributed Photovoltaic Ultra-short-term Power Forecasting Method Based on Temporal Analog Matching Approach and Transformer Network Modeling by Pengwei YANG, Liping ZHAO, Junfa CHEN, Zhao ZHEN, Fei WANG, Liming LI

“…To address the challenge of low prediction accuracy of distributed photovoltaic (PV) power generation under sudden weather change scenarios due to the lack of meteorological data, this paper proposes a distributed PV ultra-short-term power prediction method based on temporal analog matching approach (TAMA) and Transformer network modeling. Firstly, the concept of similar time periods is extended from days to more flexible time periods, and a matching strategy integrating historical power and satellite remote sensing information is proposed to efficiently identify the most critical time periods of similar power for prediction without relying on meteorological data. …”
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A Distributed Algorithm for Indexing Power Time Series by WU Yi, GUO Qi-lin, CHEN Hao-tian, GUO Nai-wang

“…Such applications are often faced with hundreds of millions of time series of processing, and then identify some hidden pattern from the model. …”
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Real‐Time Ambulatory ECG Does Not Expedite Care by Melissa Feuerborn, Michael Torre, Ann Lyons, Thomas Jared Bunch, Benjamin A. Steinberg

“…It is time to revisit clinical scenarios where real‐time ambulatory monitoring may not improve health care efficiency.…”
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Theoretical Review of Pay Restructuring in Uganda's Public Service Health Sector. by Olum, Samson, Adyanga, Francis Akena, Ocan, Johnson

“…Although based on a review of relevant documents, it was conducted for the first time in Uganda.…”
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Energy-efficient optimization strategy based on elastic data migration in big data streaming platform by Yonglin PU, Xiaolong XU, Jiong YU, Ziyang LI, Binglei GUO

“…Focused on the problem that the stream computing platform was suffering from the high energy consumption and low efficiency due to the lack of consideration for energy efficiency in designing process, an energy-efficient optimization strategy based on elastic data migration in big data streaming platform (EEDM-BDSP) was proposed.Firstly, models of the load prediction and the resource judgment were set up, and the load prediction algorithm was designed, which predicted the load tendency and determine node resource occupancy, so as to find nodes of resource overload and redundancy.Secondly, models of the resource constraint and the optimal data migration were set up, and the optimal data migration algorithm was proposed, which data migration for the purpose of improving node resource utilization.Finally, model of the energy consumption was set up to calculate the energy consumption saved by the cluster after data migration.The experimental results show that the EEDM-BDSP changes node resources in the cluster can responded on time, the resource utilization and the energy-efficient are improved.…”
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Evaluation of predatory function of Orius sauteri to the first-instar larvae of Mythimna separata (Walker) by YANG Haolan, LI Chengjun, CAO Fu, SUN Yulun, LI Maoye, LIU Su, LI Shiguang

“…In order to know the control potential of Orius sauteri to the first-instar larvae of oriental armyworm [Mythimna separata (Walker)], the predation ability of the fifth-instar nymphs, male adults and female adults of O. sauteri to the first-instar larvae of M. separata was determined in the laboratory, and the Holling Ⅱ and Hassell-Varley models were used for analyzing the functional response, searching efficiency and mutual interference of O. sauteri to the first-instar larvae of M. separata. …”
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An effective numerical algorithm for coupled systems of Emden-Fowler equations via shifted airfoil functions of the first kind by Mohammad Izadi, Pradip Roul

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Optimizing high voltage gain interleaved boost converters for PV and wind systems using hybrid deep learning with bitterling fish and secretary bird algorithms by G.Veera Sankara Reddy, S. Vijayaraj

“…This study introduces a series of novel intelligent control frameworks to overcome these limitations and improve overall system performance. Firstly, a Neuro-LSTM BitterSec Optimization Network (NL-BSONet) is proposed to enhance the efficiency of high-voltage gain interleaved boost converters while minimizing system complexity. …”
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Data acquisition time minimization in FANET-based IoT networks by Alaa Taima Albu-Salih, Hayder Ayad Khudhair, Osama Majeed Hilal

“…The results obtained in the simulation show that the proposed approach is able to provide efficient data acquisition while guaranteeing the deadline time.   …”
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An Efficient CNN for Hand X-Ray Overall Scoring of Rheumatoid Arthritis by Zijian Wang, Jian Liu, Zongyun Gu, Chuanfu Li

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Efficient Material Flow and Storage Space Determination in Automated Distribution Centers by Mohammed Alnahhal, Nikola Gjeldum, Mohammed Ruzayqat

“…More investigation was done for B items, which have daily demand levels of one layer of cases or more, but less than pallet size. First, analytical equations were formulated to model the system. …”
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Bipolar Morphological Neural Networks: Gate-Efficient Architecture for Computer Vision by Elena E. Limonova, Daniil M. Alfonso, Dmitry P. Nikolaev, Vladimir V. Arlazarov

“…The priority of building hardware-oriented neural network models is growing steadily. The target goals for their development are the performance and energy efficiency of promising hardware-software solutions. …”
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Study on Complexity of Precast Concrete Components and Its Influence on Production Efficiency by Yan Liu, Wenjing Tong, Qianqian Li, Fuyi Yao, Yan Li, Hong Xian Li, Jiaxin Huang

“…Prefabricated construction has been well recognized for its benefits, including accelerated construction cycle time and improved sustainability. However, low efficiency in the production of precast concrete components due to component and production complexity has not been sufficiently addressed in previous research. …”
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Regional disparities and dynamic evolution of suicide prevention and intervention efficiency in Japan by Yin Tang

“…IntroductionThis study investigates the cost-effectiveness of suicide prevention and intervention (SPI) efforts by prefectural governments in Japan. It represents the first application of a public sector efficiency evaluation model to assess government SPI initiatives. …”
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Reshaping Agriculture Eco-efficiency in China: From Greenhouse Gas Perspective by Guofeng Wang, Mengqi Zhao, Baohui Zhao, Xiuli Liu, Yu Wang

“…Utilizing a dataset spanning 2000 to 2021 from China, this study for the first time includes methane and nitrous oxide in the assessment of agricultural eco-efficiency with SBM-DEA model, which defines a more standardized and accurate indicator system of agricultural eco-efficiency, and provides a more comprehensive framework for assessing the impact of agriculture on the environment. …”
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PEYOLO a perception efficient network for multiscale surface defects detection by Xun Li, Yuzhen Zhao, Xiangke Jiao, Qingzhe Meng, Zhun Guo, Ruijuan Yao, Yaqiao Yang, Baoxi Yuan

“…First, we introduce the Defect Capture Path Aggregation Network, which enhances the feature fusion network’s ability to learn multi-scale representations. …”
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Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games by Jacob Morrier, Rafal Kocielnik, R. Michael Alvarez

“…When no pre-existing predictive model of toxic behavior is available, one must be estimated in real-time. …”
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