Presenting a model for the establishment and maintenance of expert human resources in the government organizations of Sistan and Baluchestan province by Majid Reza Dahmardeh, Vahid pourshahabi, Amin Reza Kamalian, Habibollah Salaerzehi

“…Because maintenance measures are complementary to other human resource management measures and processes; even if the recruitment, selection, appointment and improvement operations are done properly, the results of management actions will not be very impressive without paying enough attention to maintenance. …”
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Ruthenium-based MOF catalysts for methanation of CO2 derivatives by Itziar Arnaiz, Carlos Márquez-Álvarez, Marcos Zubimendi, M. Asunción Molina, Andrew M. Beale, Manuel Sánchez-Sánchez, Joaquín Pérez-Pariente

“…Ru-BTC was particularly efficient: 67 % conversion and 96 % selectivity to CH4 at 150 ºC and 30 bars of H2 using a Ru/dimethylurea weight ratio of 1 %. …”
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Container Liner Shipping System Design Considering Methanol-Powered Vessels by Zhaokun Li, Xinke Yu, Jianning Shang, Kang Chen, Xu Xin, Wei Zhang, Shaoqiang Yu

“…While methanol, including both green and gray methanol, offers environmental benefits, its lower energy density introduces operational complexities. Motivated by the aforementioned background, we establish a bi-level programming model. …”
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Construction and Application of Monitoring System for Green Tarpaulin Cover Net in Mega Cities by Yang SUN, Dawei GAO, Haoye JIANG, Wanguang DU

“…Subsequently, representative samples of tarpaulin cover are selected for annotation, and a training dataset is constructed. …”
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Syntactic Analysis of Spatial Structure Characteristics of Traditional Villages Along the Yellow River in Western Shanxi Province by Chenge GAO, Fang WANG

“…This, in turn, can guide the efficiency and potential of social activities among residents and visitors, thereby enhancing the vitality or privacy of important spatial nodes within the villages. 3) The foreground network of the spatial structure of traditional villages plays a constructive role in the continuity of the background network. …”
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Physical Information Neural Network-Based Seepage Behavior Analysis of Earth and Rock Dams by XUE binghan, HUANG zhenhua, LEI Jianwei, FANG Hongyuan

“…This substantially enhances computational efficiency.…”
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Explainable machine learning to quantify the value of proximal remote sensing in latent energy flux estimation by Srishti Gaur, Guler Aslan-Sungur (Rojda), Andy VanLoocke, Darren T. Drewry

“…Data-driven models have the potential to address these issues by offering flexible predictor selection and more efficient utilization of the information in predictor sets. …”
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Research on the detection of obstacles in front of unmanned vehicles in opencast mines based on binocular vision by Shunling RUAN, Huiguo ZHANG, Qinghua GU, Caiwu LU, Di LIU, Jing MAO

“…The Feffol network model proposed in this paper selects Efficient-v2 as the backbone network structure for feature extraction in the feature extraction stage, selects the Ebifpn feature pyramid module based on the SppCSP structure with SppCSP structure to improve the feature sensing field while enhancing the feature information of different sizes, uses the Focal Loss and CIoU Loss loss functions to balance positive and negative samples, and solve the problem of method failure when there is no intersection between the prediction frame and the real detection frame. …”
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Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System. by Vessela Krasteva, Irena Jekova, Remo Leber, Ramun Schmid, Roger Abächerli

“…Stage 1 makes computationally-efficient classification of SVB-beats, using simple correlation threshold criterion for finding close match with a predominant normal (reference) beat template. …”
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Research on Underwater Sensor Network Adaptive Clustering Algorithm for Marine Environment Monitoring by Libin Xue, Chunjie Cao, Rongxin Zhu

“…This demonstrates that the algorithm can achieve efficient energy utilization and notably enhance network performance.…”
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Path Algebra-Driven Classification Solution to Realize User-Centric Performance-Oriented Virtual Network Embeddings by Stelios Prekas, Panagiotis A. Karkazis, Panagiotis Trakadas

“…The intense diversity of the Next-Generation Networking environments like 6G and the forthcoming deployment of immersive applications with varied user-specific requirements transform the efficient allocation of resources into a real challenge. …”
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Urgent surgical patient classification: Development and validation of a novel instrument using the Delphi approach by Priscila Buck de Oliveira Ruiz, Jaqueline Lopes Gouveia, Paula Buck de Oliveira Ruiz, João Daniel de Souza Menezes, Matheus Querino da Silva, Emerson Roberto dos Santos, Alba Regina de Abreu Lima, Vânia Maria Sabadoto Brienze, Júlio César André, Rita de Cássia Helu Mendonça Ribeiro

“…Developing an instrument to objectively identify the complexity of care required for each case is challenging. …”
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Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…Despite its potential to revolutionize the field, researchers are often encumbered by obstacles, such as the complexity of selecting optimal algorithms, the automation of data pre-processing steps, the necessity for adaptive feature engineering, and the assurance of model performance consistency across different datasets. …”
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PRINCIPLES AND METHODS OF WHEAT BREEDING ON TOLERANCE TO DISEASES IN KRIA NAMED AFTER P.P. LUKIYANENKO by I. B. Ablova, L. A. Bespalova, F. A. Kolesnikov, G. D. Nabokov, V. Ya. Kovtunenko, V. A. Filobok, R. O. Davoyan, Zh. N. Khudokormova, I. M. Mokhova, Yu. G. Levchenko, A. S. Tarkhov

“…It has been determined that the most efficient method to create the varieties tolerant to head fusarium is a complex hybridization, intended on the pyramiding of the genes with specific and unspecific resistance. …”
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3D CAD model classification based on Convolutional Neural Network by DING Bo, YI Ming

“…Due to the intrinsic complexity of 3D CAD models, the automatic model classification methods are scarce. …”
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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…Results The study area exhibits complex geochemical features. In such a complex setting, it is essential to implement multiple methods in combination to separate anomalies from the background accurately. …”
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Preprocessing optimization algorithm based on partial channel information feedback in wideband OFDM systems by WANG Xia1, ZHANG Guo-mei1, XUE Tao2

“…To mitigate inter-block interference（IBI） and inter-carrier interference（ICI） in an orthogonal frequency divi-sion multiplexing（OFDM） system,pre-processing approaches at transmitters based on full channel state information（CSI） had been proposed,the performance improved and receiver simplied.However,feeding full CSI back would oc-cupy scarce bandwidth and was impractical sometimes for the systems with high real-time demand.To deal with this problem,a preprocessing optimization based on partial CSI feedback was investigated and three selected preprocessing approaches of optimization matrix were developed and tested.Computer simulation results showed that the proposed op-timization algorithm can effectively cancel IBI and ICI and significantly improve the performance in wideband OFDM systems.Compared with the pre-processing approaches at transmitters based on full CSI,under the condition of meeting the demand for quality of services（QoS）,the proposed scheme has high spectral efficiency and low feedback and com-putation complexity.…”
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Optically tunable catalytic cancer therapy using enzyme-like chiral plasmonic nanoparticles by Haeun Kang, Subin Yu, Ryeong Myeong Kim, Youngbi Kim, Sang Chul Shin, Dohyub Jang, Jeong Hyun Han, Sugyeong Hong, Eunice EunKyeong Kim, Sun Hee Kim, Dong June Ahn, Jeong Woo Han, Sehoon Kim, Ki Tae Nam, Luke P. Lee, Dong Ha Kim

“…Abstract Cascade enzymatic reactions in living organisms are fundamental reaction mechanisms in coordinating various complex biochemical processes such as metabolism, signal transduction, and gene regulation. …”
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Research on Personal Loan Default Risk Assessment Based on Machine Learning by Liu Guangsen

“…In the present era of rapid development of the Internet and big data, the scale of personal loans and the complexity of personal credit data are growing rapidly. …”
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Multicomponent Adsorption of Paracetamol and Metronidazole by Batch and Fixed-Bed Column Processes: Application of Monte Carlo Bayesian Modeling by Letícia Reggiane de Carvalho Costa, Júlia Toffoli de Oliveira, Fayola Silva Silveira, Liliana Amaral Féris

“…These findings highlight the complexity of multicomponent adsorption and provide insights, contributing to the development of more efficient and sustainable water treatment technologies for pharmaceutical residues.…”
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