The use of cosmetic freeze-dried kelp as a food fortifier (analytical review) by A. V. Burminsky, V. N. Orobinskaya, I. N. Pushmina, T. N. Lavrova, S. A. Emelyanov

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Predicting the Risk of Loneliness in Children and Adolescents: A Machine Learning Study by Jie Zhang, Xinyi Feng, Wenhe Wang, Shudan Liu, Qin Zhang, Di Wu, Qin Liu

“…Five models, (a) random forest, (b) extreme gradient boosting (XGBoost), (c) logistic regression, (d) neural network, and (e) support vector machine were applied to predict loneliness. …”
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Epizootic hemorrhagic disease virus oral infection affects midge reproduction and is vertically transmitted to offspring in Culicoides sonorensis by Dinesh Erram, Bethany McGregor, Carolina Acevedo, Barry W. Alto, Nathan Burkett-Cadena

“…In addition, the progeny (eggs and F1 generation adults) of EHDV-2 fed females were processed for viral detection through RT-qPCR and plaque assays. …”
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Algoritmo robusto para el diagnóstico de fallas eléctricas en el motor de inducción trifásico basado en herramientas espectrales y ondeletas. by Francisco Javier Villalobos-Piña, Ricardo Alvarez-Salas

“…Resumen: En este trabajo se presenta un conjunto de herramientas basadas en la transformada rápida de Fourier (TRF) y la transformada discreta ondeleta (TDO) Haar, Daubechies y Coiflet utilizando el módulo del vector espacial instantáneo (VEI) de las corrientes de estator del motor de inducción trifásico para diagnosticar fallas en el estator y en el rotor. …”
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Mid-and-Long Term Load Forecasting Based on Integrated Power Consumption Data by Xingang WANG, Binruo ZHU, Zhen GU

“…Towards the issue of load forecasting, with water/power/gas consumption data collected by integrated smart meter as features, two mid-and-long term power consumption forecasting methods are proposed: gaussian process regression (GPR) and relevance vector regression (RVR). …”
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A Characterizing Method of Carbon Nanotubes in Powder Form with Different Packing Densities by Ruiliang Li, Chuang Yang, Yunlong Zhang, Jian Wang

“…We measured the transmission/reflection S-parameters of the waveguide using a Vector Network Analysis (VNA), and the impacts of the PVCs on the measured S-parameters were de-embedded by microwave network analysis. …”
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EDUCATIONAL MOTIVATION OF UNDERGRADUATE STUDENTS AS AN INDICATOR OF THE QUALITY OF EDUCATION by V. G. Antonov, T. Yu. Krotenko, M. B. Zhernakova, I. A. Rumyantseva

“…The motivation as one of the key indicators of the quality of higher education, as a powerful driver of the educational process, and one of the main catalysts of personal and professional growth of the student has been considered. …”
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3D Imaging of Dielectric Objects Buried under a Rough Surface by Using CSI by Evrim Tetik, Ibrahim Akduman

“…The problem has been treated as a 3D scalar problem for computational simplicity as a first step to the 3D vector problem. The complexity of the background in which the object is buried is simplified by obtaining Green’s function of its background, which consists of two homogeneous half-spaces, and a rough interface between them, by using Buried Object Approach (BOA). …”
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All-loop group-theory constraints for four-point amplitudes of SU(N), SO(N), and Sp(N) gauge theories by Stephen G. Naculich, Athis Osathapan

“…For SU(N), we confirm the existence of four independent null vectors (for L ≥ 2) and for SO(N) and Sp(N), we establish the existence of seventeen independent null vectors (for L ≥ 5). …”
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Infrastructure Planning: Intermediary of Indonesia’s Community Health in Climate Change Era (A Bibliometric Analysis) by Rose Fatmadewi

“…The impacts of climate change on human health include increases in respiratory, vector-borne, and zoonotic diseases. The research focuses on one aspect of supporting human health that is often ignored in the climate change adaptation process: infrastructure planning. …”
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Between revolution and human rights: the testimonies of Brazilian exiles at the Russell Tribunal II by Felipe Magaldi, Cynthia Sarti

“…The public expression of suffering is highlighted as a main vector of transformation in the repertoires of political action at the time, situated at the intersection between the ideals of the revolutionary left and those of human rights. …”
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Development of a Student Depression Prediction Model Based on Machine Learning with Algorithm Performance Evaluation by Penni Wintasari Simarmata, Putri Taqwa Prasetyaningrum

“…The research implements a structured modeling process involving feature selection, normalization, the model’s efficacy was gauged through a suite of evaluate measures, encompassing accuracy, precision, recall, F1-score, The support vector machine (SVM) model’s accuracy improved from 58.8% to 99.5% after hyperparameter tuning. …”
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Fault Diagnosis Method of Planetary Gearboxes Based on LMD Permutation Entropy and BP Neural Network by Gao Sujie, Wu Shijing, Zhou Jianhua, Zheng Pan, Chen Ben, Xu Jiacai

“…In view of the problems of poor discrimination of fault feature vectors extracted in the process of fault diagnosis of planetary gearboxes and insufficient diagnosis success rate, a method based on Local Mean Decomposition（LMD） permutation entropy and BP neural network is proposed. …”
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An Automatic Tagging System Focused on Digital Resources by LEIZhiwen, HUANG Ling

“…In this paper, we proposed a novel automatic tagging system which aimed at the lack of tags about digital resources and the difficulty of extending tags This tagging system can effectively extend tags for public cultural resources we collected and other public data sets The algorithm of tagging system based on neural network and generative learning We use Latent Dirichlet Allocation (LDA) and Word2Vec to process resources and initial tags, generating the representation vectors of resources and initial tags, then use these two kinds of vector to build this automatic tagging system focused on digital resources From the results, the Precision, MRR, MAP and other indexes of this method is better than other comparison tagging methods mentioned in this paper, and it can solve the lack of tags in some cases Increasing utilization of resources…”
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Algorithm for Recognition of Movement of Objects in a Video Surveillance System Using a Neural Network by S. Harish, C. Anil Kumar, Lakshmi Shrinivasan, S. Rohith, Belete Tessema Asfaw

“…Based on the literature analysis, the main definitions of the theory of image recognition were established, such as “image,” “sign,” and “vector realization.” A comparison is made of approaches, methods, and technologies for recognizing the movement of objects, and their strengths and weaknesses are discussed. …”
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Real-Time Football Match Prediction Platform by An Zhongqi

“…This paper presents a Python-based platform for predicting football match outcomes by collecting and processing real-time data from the SofaScore website. …”
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Analysis of the Fundamental Frequency F0 of Oesophageal Speech in Patients Following Total Laryngectomy Surgery by Krzysztof Tyburek

“…As a result, a frequency vector F0 (for each tested word) was obtained, the length of which depends on the number of frames. …”
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Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding by Pengyu Liu, Kebin Jia

“…Firstly, this algorithm employs motion vector (MV) to extract temporal saliency region through fast MV noise filtering and translational MV checking procedure. …”
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Fog server deployment technique: An approach based on computing resource usage by Jung-Hoon Lee, Sang-Hwa Chung, Won-Suk Kim

“…To solve these problems, a new architecture called fog computing has been proposed. Fog computing can process data on a network device close to the user, drastically reducing the bandwidth required from the network and providing near real-time response. …”
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BELARUSIANS’ SELFIDENTIFICATION IN THE CONTEXT OF CIVILIZATIONAL BORDERLAND by L. Volakhava

“…The article is focused on Belarusians’ self-identification within civilizational borderland as it appears to have a considerable impact on the nation’s complex identification process and remains critical in contemporary Belarus under its strongman A. …”
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