PROCESS MEASURES IN EDUCATIONAL, PSYCHOLOGICAL AND COUNSELLING RESEARCH: USES AND METHODOLOGICAL IMPLICATIONS by Nadia Habiba BENKHEDIR

“…This cannot be done without collecting process data. A review of the literature revealed that the use of process measures in the three fields emerged at different times and developed at different rates. …”
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Effective Machine Learning Techniques for Dealing with Poor Credit Data by Dumisani Selby Nkambule, Bhekisipho Twala, Jan Harm Christiaan Pretorius

“…Data are vital at the core of the credit decision-making processes. …”
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Reversible data hiding scheme based on enhanced image smoothness by Jinghan WANG, Hui ZHU, Helin LI, Hui LI, Xiaopeng YANG

“…With the prosperity of Internet technology and the popularity of social networks, reversible data hiding technology has been widely adopted in concealed information transmission of medical and military fields with its advantages on secret information recovery.Traditional reversible data hiding schemes mainly focus on the enhancement of embedding capacity and the reduction of the distortion rate of stego image, but pay less attention to the understanding of image details with the human eyes.Thus, it is difficult to resist hidden information detection methods.To solve the above challenge, a reversible data hiding algorithm was proposed, which ensured the visual quality of the stego image in the process of data hiding through the image visual smoothness enhancement.Specifically, the original image was divided into reference area and non-reference area.The secret data was embedded through the translation of the difference, which was calculated according to the predicted pixel value and the original pixel value of the non-reference area.To guarantee the visual quality of the image, smoothing mechanism was constructed, in which a Gaussian filter was utilized as a template to filter the predicted value and to add the filter difference into the cover image without loss.The pixel value of the reference region was used as edge information for lossless restoration of the original image.The filtering coefficient in Gaussian function was exploited as the embedded key to ensure the security of secret information.Simulation results regarding a large number of classical image data sets illustrated that the visual smoothness of stego image processed by this scheme was effectively enhanced with lower distortion rate, higher embedding rate, and higher embedding and extraction efficiency.In a typical circumstance, the similarity between the generated stego image and the Gaussian filter image can reach 0.9963.The PSNR and the embedded capacity can be up to 37.346 and 0.3289 BPP, respectively.…”
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INTENSITY INDICATORS OF GEODYNAMIC PROCESSES ALONG THE ATLANTIC-ARCTIC RIFT SYSTEM by S. Yu. Sokolov, N. P. Chamov, M. D. Khutorskoy, S. A. Silantiev

“…Seismicity, heat flow, seismic tomography data, prerift and synrift magmatism are considered as intensity indicators of geodynamic processes along the Atlantic-Arctic rift system (AARS). …”
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Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients by Jack Lumsdon, Cameron Wilson, Lisa Alcock, Clemens Becker, Francesco Benvenuti, Tecla Bonci, Koen van den Brande, Gavin Brittain, Philip Brown, Ellen Buckley, Marco Caruso, Brian Caulfield, Andrea Cereatti, Laura Delgado-Ortiz, Silvia Del Din, Jordi Evers, Judith Garcia-Aymerich, Heiko Gaßner, Tova Gur Arieh, Clint Hansen, Jeffrey M Hausdorff, Hugo Hiden, Emily Hume, Cameron Kirk, Walter Maetzler, Dimitrios Megaritis, Lynn Rochester, Kirsty Scott, Basil Sharrack, Norman Sutton, Beatrix Vereijken, Ioannis Vogiatzis, Alison Yarnall, Alison Keogh, Alma Cantu

“…Using patient responses, we worked alongside researchers, clinicians, and a patient advisory group to develop visualizations that depicted a week of mobility data. During rounds 2 and 3, participants rated usefulness and ease of understanding on a 5-point Likert scale and provided unstructured feedback in comment boxes for each visualization. …”
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Modeling and analysis of filtration processes in oil reservoirs of small fields by reserves by Zhanat Alisheva, Ahmed N. AL-Dujaili, Nurbol Tileuberdi, Samal Muratova, Elmira Omirzakova, Miras Sanatbekov, Olzhas Kurmanbayev, Manat Alzhigitova

“…Abstract This study focuses on modeling and analyzing filtration processes in oil reservoirs of small fields, using the Northern Karamandybas field as a case study. …”
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Design and Implementation of an Integrated Management System for Backfill Experimental Data by Yunpeng Kou, Yuhang Liu, Guoqing Li, Jie Hou, Liming Luan, Hao Wang

“…After being put into use in the Backfilling Engineering Laboratory of a group in Shandong, this system improved the data-sharing rate and utilization rate and provided a convenient data management tool for the laboratory.…”
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Trends in cancer incidence and mortality in the process of metropolitanization of Shanghai, 1973–2017 by Jiejie Qin, Jiejie Qin, Jiejie Qin, Jiejie Qin, Mengyin Wu, Shulin Zhao, Shulin Zhao, Shulin Zhao, Kai Gu, Renzhi Cai, Ziwei Tang, Defeng Zhu, Jingyan Tian, Jingyan Tian, Wei Yao, Baiyong Shen, Baiyong Shen, Baiyong Shen, Yan Shi

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A cross-sectional study of manually processed petroleum derivatives burns by Amjad Soltany, Maen Al Aissami

“…Syrian burn centers are facing challenges dealing with burns caused by manually processed petroleum derivatives during the current war due to the lack of energy storage. …”
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Neurophysiological characteristics of reward processing in deaf college students under different social contexts by Xue Du, Ting Huang, Shiqiong Wu, Xingru Wang, Xiaoyi Chen

“…However, the neural mechanisms of reward processing in deaf college students during different situations of social exclusion remain unknown.MethodsA total of 27 deaf college students completed the monetary and social reward delay tasks while recording event-related potential (ERP) data.ResultsThe behavioral hit rate was sensitive to the main effect of social context; that is, the deaf college students showed a higher hit rate in social inclusion than in social exclusion. …”
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The Effects of Tourism on the GDP of Macedonia, Montenegro and Serbia in the Process of European Integration by Slobodan Čerović, Miroslav Knežević, Danijel Pavlović

“…The principal purpose of this paper is to present the effects of the EU integration process on tourist movements in Serbia, Macedonia and Montenegro during the period 2006-2014, as 2006 was the year when one of the surveyed countries initiated EU accession negotiations, and tourism sector contribution to GDP in these countries in the period from 2002-2013 based on the data available for these years. …”
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Implementation and Applications of Intelligent Batch Processing Technology for Isotope Injection Profile Logging Interpretation by SUN Liang

“…Through integrated operation on the national major scientific and technological integration platform CIFLog, the single well processing time is reduced from 30～60minutes to 30 seconds, and the manual intervention rate is less than 12%, verifying the effectiveness of the processing process and algorithm.…”
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SURGERY IMPACT ON LIFE QUALITY DATA IN CHILDREN WITH DETACHED RETINA by A. N. Sergienko, V. V. Dashina, A. V. Malishev, O. I. Lisenko, S. V. Yanchenko

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SOCIAL AND MARKETING ASPECTS OF TRANSFORMATION PROCESSES IN UKRAINE IN CONDITIONS OF EUROPEAN INTEGRATION by M. V. Martynenko, O. K. Gerasimov, O. O. Iastremska

“…Unfortunately, current data on migration processes show an active outflow of intellectual capital from Ukraine. …”
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Current approaches to modeling of epidemic process of non-polio Enterovirus infections by M. V. Novoselova, N. Yu. Potseluev, E. B. Brusina

“…Autocorrelation analysis found the summer-autumn seasonality (August-October) by evaluating the ratio of actual data to 12-month rolling averages. Modeling of the epidemic process of NPEVI using neural networks highly likely predicted its incidence up to 52 months.Conclusion. …”
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EFFECT OF THE SCREENS RADIANT REFLECTANCE ON THERMAL TRANSPORT PROCESS IN THE CLADDING STRUCTURES by V. D. Sizov, L. V. Nesterov, V. M. Kopko

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Optimization of Selective Laser Sintering Processing Parameters Based on ISMA-ELM Hybrid Model by LI Jian, NIE Qian, JIANG Chenglei, GUO Yanling, WANG Yangwei

“…A new hybrid model is proposed to address the issue of shrinkage in selective laser sintering parts, which combines the Improved Slime mould Algorithm ( ISMA) and Extreme Learning Machine ( ELM) to predict the shrinkage rate of the parts using limited input data. Firstly, three improvement strategies such as Levy flight, random opposition-based learning and highly disruptive polynomial mutation are used to improve the performance of the viscous bacteria optimization algorithm in all aspects. …”
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Adaptive Control of Short-Wave Data Transmission System Parameters by V. V. Egorov

“…We have obtained explicit expressions of objective functions for reaching the maximum information rate of data transmission and maximum probability of exact message delivery within the time not exceeding the given time. …”
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Predicting fertilizer treating of maize using digital image processing and deep learning approaches by Eshete Derb Emiru, Kassie Bishaw

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IDENTIFICATION OF SMALL LAKES IN KAZAKHSTAN USING REMOTE SENSING DATA by Akmaral Tolepbayeva, Dinara Abiyeva, Roza Karagulova, Aigerim Tanbayeva, Zhanerke Sharapkhanova

“…A technique for automated extraction of morphometric characteristics of small lakes has been developed, data on lake morphometry have been obtained. Verification against field measurements demonstrated a high degree of accuracy, with relative error rates of 12% for lake lengths and 13% for the widths. …”
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