Using the five-factor questionnaire to study the personality of a specialist-cynologist of the security agencies of the Russian Federation by Е. А. Kusakina

“…The article presents the results of using the Russian-language version of the “Big Five” personality questionnaire, in which personality is considered as a structure consisting of 5 factors, including many secondary factors. …”
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Automated Tomato Leaf Disease Detection Using Image Processing: An SVM-Based Approach with GLCM and SIFT Features by Rashid Khan, Nasir Ud Din, Asim Zaman, Bingding Huang

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Possible Involvement of Endothelin Peptides and L-Arginine-Nitric Oxide Pathway on the Effect of Endotoxin in the Rabbit Isolated Perfused Kidney by K. Özsan, R. K. Türker, Z. S. Ercan

“…Endothelin-1 at a concentration of 10−10 M and big endothelin-1 at a concentration of 10−8 M produced equal vasoconstrictor effects in kidney. …”
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Economic Value A Dried Fish Business Development in Bengkulu City

“…., 4,345 kg, 43.73 % is distributed to big traders while the remaining, 56.27%, is consumed directly. …”
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Renewable energy resources in students’ opinions by Michał Roman

“…But most respondents, including secondary school and university students, think that biogas is harmful to the environment and human health. …”
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Graph neural network driven traffic prediction technology:review and challenge by Yi ZHOU, Shuting HU, Wei LI, Nan CHENG, Ning LU, Xuemin(Sherman) SHEN

“…With the rapid development of Internet of things and artificial intelligence technology, accurate analysis and prediction of traffic data have become the primary target of intelligent transportations.In recent years, the method of traffic forecasting has gradually changed from the classical model-driven type to the data-driven type.However, how to effectively analyze the spatial-temporal characteristics of road networks through big data is one of the key issues in the traffic prediction process.Spatiotemporal big data analysis is a powerful tool for the traffic prediction.The traffic network can be modeled as a graph network, while the deep learning method can be extended on the graph network.Utilizing graph neural networks, we can build the spatiotemporal prediction model, and obtain the spatial-temporal correlation between the sensor nodes in road networks effectively by using graph convolution, which can significantly improve the accuracy of traffic prediction models.The traffic forecasting technology driven by graph neural networks was explored, and two kinds of traffic prediction models based on the analysis of deep spatial-temporal characteristics were extracted.The actual cases were analyzed and evaluated to discuss the technical advantages and key challenges of graph neural networks in the traffic prediction.The potential issues of graph neural network driven prediction mechanisms were also excavated.…”
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Speech-based personality prediction using deep learning with acoustic and linguistic embeddings by Martin Lukac

“…Abstract This study introduces a novel method for predicting the Big Five personality traits through the analysis of speech samples, advancing the field of computational personality assessment. …”
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Investigation of Coal Preparation for Life Cycle by Using Building Information Modeling (BIM): A Case Study by Jian Chen, Da-Lin Guo, Xiao-Long Dong, Xiao-Bo Hou, Zhi-Feng Wang

“…This study proposed a framework of coal preparation for life cycle based on Building Information Modeling (BIM), in which the data resources can be retransmitted, and the integration of BIM application links has a high level. …”
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Development of an Autonomous Driving Path-Generation Algorithm for a Crawler-Type Ridge-Forming Robot by Joong-hee Han, Chi-ho Park

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Accuracy of the Photometric Redshifts of Brightest Cluster Galaxies Identified in the CFHTLS-W1 by Sinan Aliş

“…Cross-matching of 3283 BCGs with this large spectroscopic dataset yielded 1215 BCGs with high-quality spectroscopic redshift. …”
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Presentación: Territorio y resiliencia turística: recrecimiento, poscrecimiento y decrecimiento by Asunción Blanco-Romero, María García-Hernández, Macià Blázquez-Salom

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Sistem Deteksi Myocardial Infarction Berdasarkan Pathological Q Waves Dan ST Segment Elevation Menggunakan Metode Support Vector Machine by Ragil Hadi Prasetyo, Edita Rosana Widasari, Agung Setia Budi

“… Jantung merupakan organ yang sangat penting bagi tubuh manusia karena jika mengalami gangguan pada jantung akan memberi dampak yang besar pada tubuh. …”
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Sumber Imajinasi Kreatif Ahmad Tohari dalam Menulis Karya Sastra (Source of Ahmad Tohari's Creative Imagination in Writing Literary Works) by Abdul Wachid Bambang Suharto, Endah Kusumaningrum

“…Agama Islam dijadikan sebagai sumber pedoman hidup bagi etika dan estetika di dalam teks-teks yang ditulis oleh Ahmad Tohari.…”
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Effect of packaging materials and storage temperature on the shelf stability of Awaze paste by Biadge Kefale, Biadge Kefale, Mulugeta Admasu Delele, Mulugeta Admasu Delele, Solomon Workneh Fanta, Solomon Abate

“…BackgroundIt is well known that deterioration is a big concern in the food supply chain. The problem is more serious in handling of traditional foods in developing country such as Ethiopia, due to the limited knowledge about the optimum processing, packaging and storage conditions.ObjectiveThis study aimed to investigate the effect of packaging material and storage condition on the shelf life of Ethiopian traditional Awaze paste.MethodsSix types of packaging materials were employed: Shekella pot, Gourd (Qelle), high-density polyethylene (plastic bag), plastic bottle, glass bottle and metal can. …”
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Genomic insights on cgMLST markers, drug resistance, and urease cluster of Proteus mirabilis strains by Shitao Lian, Yadong Liu, Songnian Hu, Chen Shen, Yinping Ma, Peng Yin, Zilong He

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The obesity paradox in osteoporosis risk among older adults is mostly driven by women: a population-based prospective study by Qingfeng Luo, Shiyong Zhang, Zixin Liang, Danni Wang, Yanlin Zhong, Bin Xia, Peng Xie, Can Wang, Jinqiu Yuan, Ziji Zhang, Xingsheng Li

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Unraveling nitrogen metabolism, cold and stress adaptation in polar Bosea sp. PAMC26642 through comparative genome analysis by Anamika Khanal, Anamika Khanal, So-Ra Han, So-Ra Han, So-Ra Han, Jun Hyuck Lee, Tae-Jin Oh, Tae-Jin Oh, Tae-Jin Oh, Tae-Jin Oh

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Intermittent theta burst stimulation for negative symptoms in schizophrenia patients with mild cognitive impairment: a randomized controlled trail by Jing Li, Xian Mo, Dan Jiang, Xinyu Huang, Xiao Wang, Tingting Xia, Wei Zhang, Wei Zhang, Wei Zhang

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Contribution of dust emissions from farmland to particulate matter concentrations in North China Plain: Integration of WRF-Chem and WEPS model by Haopeng Zhang, Feng Wang, Shenghui Zhou, Tianning Zhang, Minghui Qi, Hongquan Song

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生长因子在视网膜增殖膜的表达 by 梁小玲　高汝龙　李绍珍　李永平　林健贤　唐仕波

“…目的: 了解血小板源性生长因子( PDGF)和碱性成纤维细胞生长因子( bFGF)在视网膜增殖膜细胞的表达及其与 增殖性玻璃体视网膜病变( PVR)的关系。方法: 免疫组化法研究 PDGF 和 bFGF 在 20 例视网膜前膜和 1 例视网膜下膜(视网 膜脱离术后继发)细胞中的表达情况。…”
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