Solvability of the Quaternary Continuous Classical Boundary Optimal Control Dominated by Quaternary Parabolic System by Jamil A. Ali Al-Hawasy, Fetan J. Naji

“… The purpose of this paper is to study the solvability of the quaternary continuous classical boundary optimal control vector problem dominated by quaternary nonlinear parabolic boundary value problem with state constraints. …”
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National self-consciousness of members of society in the context of the social dynamics of a transforming society by Тетяна Єрескова, Олег Мазурик

“…The solution to these problems depends on the understanding of the essence of the values and development trends of a certain social environment in which the society will function in the future, the real possibilities of the influence of national self-consciousness on the spiritual and ethical priorities of individuals, on the cultural space of society. …”
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G-TS-HRNN: Gaussian Takagi–Sugeno Hopfield Recurrent Neural Network by Omar Bahou, Mohammed Roudani, Karim El Moutaouakil

“…For each neuron, the G-TS-HRNN associates an input fuzzy variable of <i>d</i> values, described by an appropriate Gaussian membership function that covers the universe of discourse. …”
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A Study on the Effect of Perceived Functional Risk on the Public’s Purchase Intention in Green Sports Stadium Services—Based on the Perspective of Motivational Protection Theory... by Chenfan Liu, Kai Guo, Jinhao Wu, Kai Zhao, Hao Li, Longrui Qi

“…Environmental pollution has become a significant issue, and environmental protection within the realm of sports has garnered increasing attention from various sectors of the academic community. This study takes the public’s intention to purchase sports stadiums as the research object, introduces two mediating variables of green value perception and sense of accomplishment, builds a hypothetical model from the perspective of motivation protection theory, and explores the influence of perceived functional risk of green sports stadiums on consumption intention through SEM analysis based on the samples of the recovered questionnaires (N = 1073). …”
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Automated classification of epileptic seizures using modified one-dimensional convolution neural network based on empirical mode decomposition with high accuracy by Ibtihal Hassan Elshekhidris, Magdi B. M. Amien, Ahmed Fragoon

“…After that, features extraction step is necessary when used the support vector machine and artificial neural network, but when use the convolution neural network the features are extracted by layers.Results: The highest value of a classification accuracy was 100%, and a sensitivity 100%, a specificity 100%, and a precision 100%, which appeared five times when using the one-dimensional convolution neural network after empirical mode decomposition method.Conclusions: The efficiency of the three methods has been compared and evaluated by using four metrics: Accuracy, Sensitivity, specificity, and Precision, and the result showed the one-dimensional convolution neural network is the best method for classification with empirical mode decomposition.…”
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Rebooting Master’s Programs in an Updated Higher Education System: Management Track by E. A. Kuklina

“…The relevance of the research topic is the importance of higher education programs in the implementation of one of the key functions of a modern university to form a graduate’s picture of the world of an educated person and acquire skills for successful professional activity. …”
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REACHABLE SET OF SOME DISCRETE SYSTEM WITH UNCERTAIN LIU DISTURBANCES by Boris I. Ananyev

“…In the capacity of Liu's disturbances are used ordinary uniformly distributed and independent among themselves uncertain values defined on some uncertain space. This fact means that the state vector of the system and the entire problem become infinite dimensional one. …”
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Height of Hydraulic Fracture Zone Based on PSO_LSSVM Model by Hebin Zhang, Tingting Wang, Bin Wu, Haijun Feng

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CONCEPTUAL FOUNDATIONS OF ORGANIZATIONAL CULTURE OF MANUFACTURING ENTERPRISES IN THE WARTIME PERIOD by Maksym V. Kostromskyi

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An Intelligent Sample Selection Method for Space-Time Adaptive Processing in Heterogeneous Environment by Chongdi Duan, Yu Li, Wei Wei Wang

“…Based on the feature vector, the multi-dimensional feature projection based on the kernel function is carried out to achieve the offline training classifier, and the testing samples are classified with intelligence in the multi-dimensional feature space by utilizing the trained support vector machine. …”
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Comparative proteomic analysis to annotate the structural and functional association of the hypothetical proteins of S. maltophilia k279a and predict potential T and B cell targets... by Md Muzahid Ahmed Ezaj, Md Sajedul Haque, Shifath Bin Syed, Md Shakil Ahmed Khan, Kazi Rejvee Ahmed, Mst Tania Khatun, S M Abdul Nayeem, Golam Rosul Rizvi, Mohammad Al-Forkan, Laila Khaleda

“…Furthermore, all of their physical and chemical characterizations were performed, such as theoretical isoelectric point, molecular weight, GRAVY value, and many more. Besides, the subcellular localization, protein-protein interactions, functional motifs, 3D structures, antigenicity, and virulence factors were also evaluated. …”
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BPFun: a deep learning framework for bioactive peptide function prediction using multi-label strategy by transformer-driven and sequence rich intrinsic information by Lun Zhu, Hao Sun, Sen Yang

“…Experiments on the test dataset showed that BPFun gets the accuracy and absolute truth value of 0.6577 and 0.6573 on the dataset of seven functional classifications and was superior to other methods. …”
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The Real Impact of Digital Agricultural Technology Extension on Pesticide Reduction Behavior Among Wheat Farmers in Henan, China by Bingjie Xu, Weijun Liu

“…Therefore, this paper suggests integrating the characteristics of farmers’ resource endowment, fully leveraging the productive functions of digital agricultural technology extension, and focusing on enhancing farmers’ rational economic value cognition of pesticide reduction to further promote the application of pesticide reduction among farmers and provide strong support for sustainable agricultural development.…”
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INCREASE OF EFFICIENCY OF SUPPRESSION OF THE ACTIVE NOISE JAMMING IN RADAR INTERCEPTION OF AIR TARGETS IN THE REVIEW MODE by V. E. Markevich

“…The single estimation of straight line CMJ is formed as result dyad products of the instant vectors of noises in handling channels. In partial channels the adaptive transversal filters with the self-tuning on value of a signal of an aggregate error are implemented.In article skeleton diagrams of devices of the compensating implemented by various methods are resulted. …”
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The Impact of Loan Portfolio Concentration on Financial Stability of Iraqi Commercial Banks by Saja Younis, Abdul Nafea Al-Zararee

“…We employed the Hirschman-Herfindahl Index to measure the concentration in the loan portfolio and the z-score value to measure financial stability. The robust multiple regression model was used to explore the effect of sectoral loan concentration on stability. …”
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A predictive model for functional cure in chronic HBV patients treated with pegylated interferon alpha: a comparative study of multiple algorithms based on clinical data by Ya-mei Ye, Yong Lin, Fang Sun, Wen-yan Yang, Lina Zhou, Chun Lin, Chen Pan

“…The variables baseline log2(HBsAg), gender, age, neutrophil count at week 12, HBsAg decline rate at week 12, and HBcAb at week 12 were closely associated with functional cure and were included in the predictive model. …”
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Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms by Milad Mohebbi, Behnam Sobhani

“…The growing global population has significantly increased energy demand, particularly in the residential building sector. This surge underscores the necessity for accurate energy consumption forecasting to facilitate effective planning and future demand projections. …”
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An enhanced time efficient technique for image watermarking using ant colony optimization and light gradient boosting algorithm by Vipul Sharma, Roohie Naaz Mir

“…The image features are extracted at different embedded strength values by the calculation of optimum fitness function. …”
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Structural change and employment growth in India: reinterpreting “Manufacturing as an Engine of Growth” by Satya Prasad Padhi

“…In addition, the increasing use of manufacturing products in services highlights additional, new service sector employment opportunities. Design/methodology/approach – This paper investigates (1) the manufacturing and service interactions and (2) the investment behaviour in manufacturing using Auto-Regressive Distributed lags (ARDL) and Vector Autoregressive (VAR) models. …”
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Which behavioral patterns score points in taekwondo matches? An analysis of the Roma 2019 World Grand Prix finalists by Yarisel Quiñones Rodríguez, Gennaro Apollaro, Gennaro Apollaro, Carmen Fúnez, Emanuela Faelli, Emanuela Faelli, Antonio Hernández-Mendo, Verónica Morales-Sánchez, Coral Falcó

“…A function estimation analysis was performed to validate the observed values (using linear, polynomial, exponential, and logarithmic regression, and polynomial interpolation) using Estimación de Funciones software.Results and discussionThe results allow for the development of new training and competition strategies based on the different technical-tactical actions that establish a significant pattern in the realization of a scoring action. …”
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