Transforming adaptive management in knowledge-intensive enterprises by A. A. Sazonov, M. V. Sazonova

“…The initial scientific hypothesis was that the quality and efficiency of enterprises in the medium and long term is a consequence of management system transformation, as a result of using a wide range of digital technologies in the process of implementating preventive management measures aimed at maintaining a certain level of correspondence between the digital environment and the internal capacity of the management system.The structural aspects of the concept of adaptive transformation of the management system of knowledge-intensive enterprises in a highly variable digital environment have been analysed. An algorithm that represents a complete independent system has been proposed in which the order and levels of interconnection between individual subsystems and elements have been determined, with the adaptive transformation process itself as the central link, which is supported by a complex of different subsystems. …”
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Validation and Refinement of the Baveno VI Criteria for Ruling Out High-Risk Varices by Hong Zhou, Han Hu, Maoyong Tian, Jun Chu, Caiyun Tian, Yanqing Yang, Shide Lin

“…The Baveno VI criteria recommend the use of a simple algorithm based on a liver stiffness measurement<20 kPa through transient elastography and a platelet count>150×109/L for ruling out high-risk varices in patients with compensated advanced chronic liver disease. …”
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Comparative assessment of the state of digitalisation in higher education institutions by N. I. Aksenova, O. V. Usacheva, M. K. Chernyakov

“…The present research aimed to systematise and expand the areas subject to digitalisation in universities and to describe an algorithm for assessing the level of digitalisation using public information posted on university websites. …”
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Knowledge and remaining gaps on the role of animal and human movements in the poultry production and trade networks in the global spread of avian influenza viruses - A scoping revi... by Claire Hautefeuille, Gwenaëlle Dauphin, Marisa Peyre

“…A scoping literature review was conducted according to the PRISMA guidelines (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) using a search algorithm combining twelve domains linked to AI spread and animal/human movements within poultry production and trade networks. …”
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A Hybrid LSTM-Based Ensemble Learning Approach for China Coastal Bulk Coal Freight Index Prediction by Wei Xiao, Chuan Xu, Hongling Liu, Xiaobo Liu

“…And in daily, weekly, and monthly forecasting cases, the LSMT-EL approaches have higher prediction accuracy and a greater trend complying ratio than the relevant single ensemble learning algorithm. The hybrid method outperforms others when it works with information involving a dramatic market recession, elucidating CBCFI’s predictable ability. …”
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Exploration of the Long Noncoding RNAs Involved in the Crosstalk between M2 Macrophages and Tumor Metabolism in Lung Cancer by Fang Fang, Yuanshan Yao, Zhe Ma

“…Based on the input expression profile, we quantified the M2 macrophage infiltration using the CIBERSORT algorithm and found that M2 macrophages were a risk factor for lung cancer. …”
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Rough Set Neural Network Feature Extraction and Pattern Recognition of Shaft Orbits Based on the Zernike Moment by Xinfeng Ge, Jing Zhang, Ye Zhou, Jianguo Cai, Hui Zhang, Hongchang Hua, Dong Chen, Ming Zhao, Jinqi Du, Yuan Zheng

“…A rough set neural network (RS-BP hybrid model) of shaft orbit recognition is established, which uses just 13 moment eigenvalues reserved by the rough set feature selection algorithm as input variables; it has the same calculation error and recognition rate and reduces the calculation time step. …”
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MLPR: YOLOv3 for Real-Time License Plate Recognition in Moroccan Video Streams by Hatim Derrouz, Hamza Alami, Reda Rabie

“…First, we employ the YOLOv3 algorithm to extract valuable features from input scenes and detect vehicles. …”
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Distributed Storage Strategy and Visual Analysis for Economic Big Data by Xiangli Chang, Hailang Cui

“…A prototype system was constructed based on Mongo DB, and the performance of the multilevel partition algorithm proposed in this paper was verified by the prototype system based on the realization of data storage management functions. …”
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Toward Pleomorphic Reconfigurable Robots for Optimum Coverage by S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan R. Elara, Selva kumaran

“…The optimum size for reconfiguration is determined by the genetic algorithm based on the arrangement of the environment. …”
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Application of the Critical Path Method in Project Planning and Management. by Kateu, Victor

“…A weighted digraph was drawn to represent the relationship between the activities, the weights on each arrow (edge) represented the duration of the project, and vertices (nodes) represented the various activities. The longest path algorithm was then applied to establish the duration of the project and the critical path activities. …”
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Probabilistic Power Flow Analysis of DERs Integrated Power System From a Bayesian Parameter Estimation Perspective by Wanjoli, Paul, Moustafa, Mohamed M.Zakaria, Abbasy, Nabil H.

“…By applying Bayes’ theorem, BPE estimates posterior distributions, refined by the Metropolis-Hastings algorithm. Validated on IEEE 39-bus and 59-bus test systems in MATLAB/Simulink, BPE outperformed the 2m+1 point estimate method (PEM) in terms of accuracy, computation speed and scalability. …”
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Repairbads: An automatic and adaptive method to repair bad channels and segments for OPM-MEG by Fulong Wang, Yujie Ma, Tianyu Gao, Yue Tao, Ruonan Wang, Ruochen Zhao, Fuzhi Cao, Yang Gao, Xiaolin Ning

“…Repairbads employs Riemannian Potato combined with joint decorrelation to project out artifact components, achieving automatic bad segment repair. Then, an adaptive algorithm is used to segment the signal into relatively stable noise data chunks, and the source-estimate-utilizing noise-discarding algorithm is applied to each chunk to achieve automatic bad channel repair. …”
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Estimating Suitable Areas for Dry Almond (Amygdalus communis L.) Cultivation Development in Fars Province using Geographic Information System (GIS) by Ayatollah Karami, Alireza Salehi, Vida Aliyari

“…After fuzzy mapping and combining fuzzy scores with the weights obtained from the AHP analysis, the Fuzzy overlay algorithm was used to overlay different thematic layers (climatic, topographic, socio-economic, environmental adaptation). …”
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Artificial Neural Network (ANN) Approach to Predict Tensile Properties of Longitudinally Placed Fiber Reinforced Polymeric Composites including Interphase by Sagar Chokshi, Piyush Gohil, Vijay Parmar, Vijaykumar Chaudhary

“…The Levenberg-Marquardt training algorithm is used to generate the ANN models as it gives more accurate results compared to other ANN algorithms based on interphase properties data. …”
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Electronic Shooting Simulator Family "STrIzh": Implementation Levels and Free Software Structure by S. F. Egorov

“…The simulator software algorithm should fully support all implementation levels with different configurations and include a multimedia shooting training system. …”
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Comparative Analysis of Energy Storage Technologies for Microgrids by Mohamed Haikel Chehab, Chokri Ben Salah, Ruben Zieba Falama, Mehdi Tlija, Abdelhamid Rabhi

“…The obtained results have shown that with an optimization algorithm for energy storage systems, more specifically for the battery-charging mode, the response time of BESSs can be further improved. …”
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Identification of PANoptosis associated lncRNAs associated with clinical prognosis and immune infiltration microenvironment in colon adenocarcinoma by Yangyang Wang, Shihui Zhao, Songtao Du, Tianyi Xia, Liqiang Song, Mingyu Xia, Bomiao Zhang

“…Subsequently, the PANoptosis associated lncRNAs (PALs) associated with PRGs were analyzed by LASSO algorithm and multivariate Cox analysis, and PALs related to the prognosis of COAD were selected. …”
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An online intelligent electronic medical record system via speech recognition by Xin Xia, Yunlong Ma, Ye Luo, Jianwei Lu

“…On the data sets from real clinical scenarios, our proposed algorithm significantly outperforms other machine learning algorithms. …”
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Analysis of variability in gestation length in sows and its association with litter traits at birth by Alexander Kramarenko, Olena Yulevich, Iryna Lіuta, Serhii Kramarenko

“…This study aimed to analyse the effects of genotypic factors (breed of the sow and sire boar) and environmental factors (year and season of farrowing) on the variability of gestation length in sows and to determine the nature of its association with litter traits at birth using a meta-analysis algorithm. The analysis was based on primary data regarding reproductive traits in the main herd of the private joint-stock company “Plemzavod “Stepnoi”, Zaporizhzhia Region, collected from 2010 to 2013. …”
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