Habitat Categorization and Vegetation Mapping of Kumana National Park, Sri Lanka by Pasindu Rodrigo, Charani Gunathilaka, Dulan Jayasekara, Dharshani Mahaulpatha

“…Vegetation maps for KNP were generated by applying multiple classification algorithms to Sentinel 2 multispectral satellite imagery. …”
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View adaptive multi-object tracking method based on depth relationship cues by Haoran Sun, Yang Li, Guanci Yang, Zhidong Su, Kexin Luo

“…Abstract Multi-object tracking (MOT) tasks face challenges from multiple perception views due to the diversity of application scenarios. …”
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Deep Learning-Based Channel Estimation to Mitigate Channel Aging in Massive MIMO With Pilot Contamination by Hiroki Hirose, Siyuan Yang, Tomoaki Ohtsuki, Mondher Bouazizi

“…In time division duplex (TDD)-based massive multiple-input multiple-output (MIMO) systems, accurate channel state information (CSI) between the base station (BS) and user terminal (UT) is crucial for efficient signal processing, including received signal separation and transmission precoding. …”
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Assessing the Relationship between COVID-19, Air Quality, and Meteorological Variables: A Case Study of Dhaka City in Bangladesh by Md Sariful Islam, Mizanur Rahman, Tanmoy Roy Tusher, Shimul Roy, Mohammad Arfar Razi

“…Besides, multiple linear regression and the Generalized Additive Model (GAM) were used to investigate the association between COVID-19 cases and other variables used in this study. …”
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lncRNAs: the unexpected link between protein synthesis and cancer adaptation by Mila Gugnoni, Manoj Kumar Kashyap, Kishore K. Wary, Alessia Ciarrocchi

“…Their capacity to establish multiple and highly dynamic interactions with proteins and other transcripts makes these molecules able to play a central role across all phases of protein synthesis. …”
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The Impact of R&D Input on Technological Innovation: Evidence from South Asian and Southeast Asian Countries by Lei Lv, Yuchen Yin, Yuanchang Wang

“…Let us analyze the panel data of 18 countries in South Asia and Southeast Asia from 2001 to 2018, use three methods of unit root test to test the stationarity of variables, adopt the Kao cointegration test to test a stable long-term relationship between the variables, and then, respectively, carry out the transnational regression analysis of the difference between patent applications, scientific journal articles, and the R&D input with multiple models. Finally, the heteroscedasticity robust fixed-effect model is found to be the most suitable for this study after the comparative analysis of multiple models. …”
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Sistem Keamanan Multi Mail Server dengan Teknik Enkripsi OPENPGP pada Zimbra Exchange Open Source Software by Amrul Faruq, Khaeruddin Khaeruddin, Merinda Lestandy

“…Pada penelitian ini, sistem enkripsi pada Zimbra multiple-mail server menggunakan metode OpenPGP  diimplementasikan untuk mengamankan isi email yang dikirim maupun yang diterima, yaitu dengan memanfaatkan public key dan private key. …”
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Risk Factors in Intraepithelial Lesions of the Cervix by Martha Palma Osorio, Alejandro David Romero Flores, Ana Isabel Torres Mesa

“…There were interactions between cervicitis, multiple sexual partners and smoking; moderately significant were age and early menarche; cervicitis and erosion, human papillomavirus infection and multiple sexual partners. …”
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A High-Precision Micro-Roll Forming Facility for Fuel Cell Metal Bipolar Plate Production by Matthias Weiss, Peng Zhang, Michael Pereira

“…However, micro-roll forming uses multiple sets of forming roll stands to form the part and this leads to technological challenges related to tool alignment and roll tool precision that must be overcome before widespread application can be achieved. …”
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Trueness and Precision of Three-Dimensional Digitizing Intraoral Devices by Hussam Mutwalli, Michael Braian, Deyar Mahmood, Christel Larsson

“…The results from this in vitro study suggest that precision is low for the tested IOS devices when scanning fully edentulous arches with multiple implants.…”
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Metrics and Methods for Evaluation of Over-The-Air Performance of MIMO User Equipment by Yifei Feng, Werner L. Schroeder, Christoph von Gagern, Adam Tankielun, Thomas Kaiser

“…Commercial User Equipment (UE) testing and certification has become more complex for state-of-the-art mobile communication standards such as 3rd Generation Partnership Project (3GPP) Long-Term Evolution (LTE) due to the extensive use of Multiple Input-Multiple Output (MIMO) transmission techniques. …”
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The Potential Diagnostic Value of Immune-Related Genes in Interstitial Fibrosis and Tubular Atrophy after Kidney Transplantation by Bin Yang, Dike Shi, Yahong Chen, Yi Zhu

“…The results of ingenuity pathway analysis (IPA) also indicated that DEGs were involved in the immune system and kidney disease-related pathways. Finally, we found multiple miRNAs that could regulate diagnostic genes from the ceRNA network. …”
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Correlation between cognitive status and tomographic findings in patients with neurocysticercosis. Ecuador, 2019 – 2020 by Jorge Luis Anaya González, Francisco López-Muñoz, Erlen Carmona Alvarez-Builla, Adriana Edit Miniet Castillo

“…<br /><strong>Results</strong>: among the tomographic findings, lesions greater than 1 cm (32.2%), multiple (30.1%), located in the parietal region (34.4%) and subarachnoid (46.2%) enhance. …”
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The effect of liquidity risk, capital and third-party fund on bank performance with credit risk as intervening variable: Cases in conventional Bank in Indonesia by Sutrisno Sutrisno

“…Besides that, this research uses multiple regression analysis, so that future researchers can research further by adding variables that influence profitability and can use panel data regression analysis. …”
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Risk Control of Virtual Enterprise Based on Distributed Decision-Making Model by Zhaoying Ouyang

“…Virtual enterprise is a dynamic alliance of businesses, in which multiple members undertake joint research, development, manufacturing, operation, etc. …”
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Task offloading optimization in mobile edge computing based on a deep reinforcement learning algorithm using density clustering and ensemble learning by Yi Qin, Junyan Chen, Lei Jin, Rui Yao, Zidan Gong

“…Firstly, DCEDRL utilizes multiple deep neural networks to explore the environment. …”
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Applying social cognitive theory to predict physical activity and dietary behavior among patients with type-2 diabetes by Ann Tresa Sebastian, Eslavath Rajkumar, P Tejaswini, R Lakshmi, J Romate

“…Descriptive statistics, Pearson’s correlation coefficient and multiple linear regression analysis were used to analyze the data…”
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Evidence for Significant Skew and Low Heritability of Competitive Male Mating Success in the Yellow Fever Mosquito Aedes aegypti by Claudia A. S. Wyer, Vladimir Trajanovikj, Brian Hollis, Alongkot Ponlawat, Lauren J. Cator

“…Most males do not mate despite multiple opportunities, and very few males mate with multiple females. …”
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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

“…Also, we found that M2 macrophages were correlated with multiple metabolism pathways. Then, 67 lncRNAs involved in both M2 macrophages and related metabolism pathways were identified. …”
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Distributed user privacy preserving adjustable personalized QoS prediction model for cloud services by Jianlong XU, Jian LIN, Yusen LI, Zhi XIONG

“…Personalized quality of service （QoS） prediction is crucial for developing high-quality cloud service system.However, the traditional collaborative filtering method, based on centralized training, presents challenges in protecting user privacy.In order to effectively protect user privacy while obtaining highly accurate prediction effect, a distributed user privacy adjustable personalized QoS prediction model for cloud services （DUPPA） was proposed.The model adopted a “server-multi-user” architecture, in which the server coordinated multiple users, handled multiple users’ requests for uploading model gradients and downloading global model, and maintained global model parameters.To further protect user privacy, a user privacy adjustment strategy was proposed to balance privacy and prediction accuracy by adjusting the initialization proportion of local model parameters and gradient upload proportion.In the local model initialization stage, the user calculated the difference matrix between the local model and the global model, and selected the global model parameters corresponding to the larger elements in the difference matrix to initialize the local model parameters.In the gradient upload stage, the user can select some important gradients to upload to the server to meet the privacy protection requirements of different application scenarios.To evaluate the privacy degree of DUPPA, a data reconstruction attack method was proposed for the distributed matrix factorization model gradient sharing scheme.The experimental results show that when DUPPA sets the gradient upload proportion to 0.1 and the local model parameter initialization proportion to 0.5, the predicted MAE and RMSE are reduced by 1.27% and 0.91%, respectively, compared with the traditional centralized matrix factorization model.Besides, when DUPPA sets the gradient upload proportion to 0.1, the privacy degree is 5 times higher than when the gradient upload proportion is 1.And when DUPPA sets the local model parameter initialization proportion to 0.5, the privacy degree is 3.44 times higher than when the local model parameter initialization proportion is 1.…”
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