bluuebunny/crossref_metadata_2025 huggingface dataset:
Elastic Wave Characteristics of Graphene Reinforced Polymer Nanocomposite Curved Beams Including Thickness Stretching Effect
Authors: Talebizadehsardari Pouyan , Eyvazian Arameh , Musharavati Farayi , Mahani Roohollah Babaei , Sebaey Tamer A.
Published: September 2020

This work aims at analyzing elastic wave characteristics in a polymeric nanocomposite curved beam reinforced by graphene nanoplatelets (GNPs). GNPs are adopted as a nanofiller inside the matrix to enhance the effective properties, which are approximated through Halpin-Tasi model and a modified rule of mixture. A higher-order shear deformation theory accounting for thickness stretching and the general strain gradient model to have both nonlocality and strain gradient size-dependency phenomena are adopted to model the nanobeam. A virtual work of Hamilton statement is utilized to get the governing motion equations and is solved in conjunction with the harmonic solution procedure. A comparative study shows the effects of small-scale coefficients, opening angle, weight fraction, the total number of layers in GNPs, and wave numbers on the propagation of waves in reinforced nanocomposite curved beams. This work is also developed for two different distribution of GNPs in a polymeric matrix, namely uniformly distribution and functionally graded one.
Sustainability, the Pontifical Academy of Sciences, and the Catholic Church’s Ecological Turn
Authors: Tatay-Nieto Jaime
Published: September 2020

The promulgation of the encyclical letter Laudato si’ by Pope Francis in 2015 has been interpreted as the final phase in the integration of sustainability concerns into Catholic Social Teaching. In this recent historical development, academic research has paid particular attention to how different eco-theological traditions, sociocultural developments, and local advocacy practices influenced the Church’s ecological turn. However, the key role played by non-magisterial, intermediate institutions, particularly highly qualified interlocutors such as the Pontifical Academy of Sciences (PAS), has not been studied in depth. This article argues that, over the past 60 years, the PAS has been instrumental in this development: Raising awareness on socio-environmental issues, promoting environmental literacy, fostering ethical reflection, and catalyzing interdisciplinary dialogue in order to orient policy.
Quality Assessment of Photogrammetric Models for Façade and Building Reconstruction Using DJI Phantom 4 RTK
Authors: Taddia Yuri , González-García Laura , Zambello Elena , Pellegrinelli Alberto
Published: September 2020

Aerial photogrammetry by Unmanned Aerial Vehicles (UAVs) is a widespread method to perform mapping tasks with high-resolution to reconstruct three-dimensional (3D) building and façade models. However, the survey of Ground Control Points (GCPs) represents a time-consuming task, while the use of Real-Time Kinematic (RTK) drones allows for one to collect camera locations with an accuracy of a few centimeters. DJI Phantom 4 RTK (DJI-P4RTK) combines this with the possibility to acquire oblique images in stationary conditions and it currently represents a versatile drone widely used from professional users together with commercial Structure-from-Motion software, such as Agisoft Metashape. In this work, we analyze the architectural application of this drone to the photogrammetric modeling of a building with particular regard to metric survey specifications for cultural heritage for 1:20, 1:50, 1:100, and 1:200 scales. In particular, we designed an accuracy assessment test signalizing 109 points, surveying them with total station and adjusting the measurements through a network approach in order to achieve millimeter-level accuracy. Image datasets with a designed Ground Sample Distance (GSD) of 2 mm were acquired in Network RTK (NRTK) and RTK modes in manual piloting and processed both as single façades (S–F) and as an overall block (4–F). Subsequently, we compared the results of photogrammetric models generated in Agisoft Metashape to the Signalized Point (SP) coordinates. The results highlight the importance of processing an overall photogrammetric block, especially whenever part of camera locations exhibited a poorer accuracy due to multipath effects. No significant differences were found between the results of network real-time kinematic (NRTK) and real-time kinematic (RTK) datasets. Horizontal residuals were generally comparable to GNSS accuracy in NRTK/RTK mode, while vertical residuals were found to be affected by an offset of about 5 cm. We introduced an external GCP or used one SP per façade as GCP, assuming a poorer camera location accuracy at the same time, in order to fix this issue and comply with metric survey specifications for the widest architectural scale range. Finally, both S–F and 4–F projects satisfied the metric survey requirements of a scale of 1:50 in at least one of the approaches tested.
Updating of Land Cover Maps and Change Analysis Using GlobeLand30 Product: A Case Study in Shanghai Metropolitan Area, China
Authors: Pan Haiyan , Tong Xiaohua , Xu Xiong , Luo Xin , Jin Yanmin , Xie Huan , Li Binbin
Published: September 2020

Accurate land cover mapping and change analysis is essential for natural resource management and ecosystem monitoring. GlobeLand30 is a global land cover product from China with 30 m resolution that provides reliable data for many international scientific programs. Few studies have focused on systematically implementing this global land cover product in regional studies. Therefore, this paper presents an object-based extended change vector analysis (ECVA_OB) and transfer learning method to update the reginal land cover map using GlobeLand30 product. The method is designed to highlight small and subtle changes through the concept of uncertain area analysis. Updating is carried out by classifying changed objects using a change-detection-based transfer learning method. Land cover changes are analyzed and the factors affecting updating results are explored. The method was tested with data from Shanghai, China, a city that has experienced significant changes in the past decade. The experimental results show that: (1) the change detection and classification accuracy of the proposed method are 83.30% and 78.77%, respectively, which are significantly better than the values obtained for the multithreshold change vector analysis (MCVA) and the multithreshold change vector analysis and support vector machine (MCVA + SVM) methods; (2) the updated results agree well with GlobeLand30 2010, especially for cultivated land and artificial surfaces, indicating the effectiveness of the proposed method; (3) the most significant changes over the past decade in Shanghai were from cultivated land to artificial surfaces, and the total area containing artificial surfaces in Shanghai increased by about 55% from 2000 to 2011. The factors affecting the updating results are also discussed, which be attributed to the classification accuracy of the base image, extended change vector analysis, and object-based image analysis.
Conservative Interventions for Non-Specific Low Back Pain in Tactical Populations: A Systematic Review of Randomized Controlled Trials
Authors: Marins Eduardo , Caputo Eduardo , da Silva Marcelo , Dawes Jay , Orr Robin , Alberton Cristine Lima
Published: September 2020

Limited evidence exists about non-specific low back pain (NSLBP) interventions among tactical personnel (police officers, firefighters, or army forces). The aim was to identify and systematically review the findings of randomized control trials (RCTs) investigating conservative interventions for the treatment NSLBP in tactical personnel. A search of seven databases for randomized controlled trials RCTs were conducted. Two independent reviewers extracted data and assessed the risk of bias (PEDro scale). Five RCTs (n = 387 military subjects; median PEDro score = 7/10) were included. The trials were highly heterogeneous, differing in pain and disability outcome measures, duration of NSLBP symptoms (acute, nonacute, nonchronic, and chronic), types of intervention (exercise, manual therapy, and physical therapy), types of control groups, and intervention durations (4–12 weeks). Two studies reported that strengthening exercise interventions were not effective for reducing pain or disability in military personnel with chronic or nonacute NSLBP. Manual therapy treatment was more effective than usual activities in current pain and pain typical symptoms in soldiers with acute NSLBP after four weeks. A multidimensional intervention reduced disability in military personnel with non-chronic NSLBP after four weeks. Strong evidence does not exist for the efficacy of any conservative interventions in the reduction of pain and disability in tactical populations with NSLBP.
Culturally Driven Monitoring: The Importance of Traditional Ecological Knowledge Indicators in Understanding Aquatic Ecosystem Change in the Northwest Territories’ Dehcho Region
Authors: Stenekes Sydney , Parlee Brenda , Seixas Cristiana
Published: September 2020

There is growing concern about the sustainability of freshwater ecosystems in northern Canada that are under significant stress from climate change, resource development, and hydroelectric development, among others. Community-based monitoring (CBM) based on traditional ecological knowledge (TEK) has the potential to contribute to understanding impacts on the environment and community livelihoods. This paper shares insights about culturally driven monitoring, through collaborative research with Kátł’odeeche First Nation (KFN) in the Northwest Territories. This research was initiated in 2018 to improve understanding of the changes occurring in the Hay River and Buffalo River sub-basins, which extend primarily across the Alberta and Northwest Territories borders. Drawing on 15 semi-structured interviews conducted with KFN elders, fish harvesters, and youth, this paper illustrates the kinds of social–ecological indicators used by KFN to track changes in the health of aquatic systems as well as the fishing livelihoods of local people. Utilizing indicators, fishers observe declines in fish health, water quality, water quantity, and ice thickness in their lifetime. Community members perceive these changes to be a result of the cumulative effects of environmental stressors. The indicators as well as trends and patterns being observed and experienced can contribute to both social learning in the community as well as the governance of the larger Mackenzie River Basin.
Tracking the Interlinkages across SDGs: The Case of Hill Centered Education Network in Bogota, Colombia
Authors: Andreoni Valeria , Ruiz Vargas Valeria
Published: September 2020

The main objective of this paper is to use the successful example of the Hill Centered Education Network in Bogota, Colombia, to discuss the role that education and bottom-up initiatives can have in the integrated implementation of the 2030 Agenda. Founded in 2015 by a team of three organisations, the Bogota Hill Network includes today more than 100 schools, 21 non-governmental organisations and three governmental agencies. Oriented to promote ecological conservation through education, the network uses the natural ecosystems of the city as a learning environment where collaborative projects are created and implemented. By involving a large number of pupils with different socio-economic and cultural backgrounds, the initiative has been able to promote equality and inclusion while developing environmental stewardship of students and communities. The achievements of the projects, together with the main opportunities and challenges, are used in this paper to map the interlinkages across targets and goals and to discuss the role of education in the development of integrated partnerships across a wide range of sustainability dimensions. From a policy perspective, the discussion of the bottom-up initiatives and the identification of successful examples can support the design of policies and the replication of sustainability initiatives.
Development of the CREATE Inventory in Support of Integrated Climate and Air Quality Modeling for Asia
Authors: Woo Jung-Hun , Kim Younha , Kim Hyeon-Kook , Choi Ki-Chul , Eum Jeong-Hee , Lee Jae-Bum , Lim Jae-Hyun , Kim Jiyoung , Seong Miae
Published: September 2020

A bottom-up emissions inventory is one of the most important data sets needed to understand air quality (AQ) and climate change (CC). Several emission inventories have been developed for Asia, including Transport and Chemical Evolution over the Pacific (TRACE-P), Regional Emission Inventory in Asia (REAS), and Inter-Continental Chemical Transport Experiment (INTEX) and, while these have been used successfully for many international studies, they have limitations including restricted amounts of information on pollutant types and low levels of transparency with respect to the polluting sectors or fuel types involved. To address these shortcomings, we developed: (1) a base-year, bottom-up anthropogenic emissions inventory for Asia, using the most current parameters and international frameworks (i.e., the Greenhouse gas—Air pollution INteractions and Synergies (GAINS) model); and (2) a base-year, natural emissions inventory for biogenic and biomass burning. For (1), we focused mainly on China, South Korea, and Japan; however, we also covered emission inventories for other regions in Asia using data covering recent energy/industry statistics, emission factors, and control technology penetration. The emissions inventory (Comprehensive Regional Emissions inventory for Atmospheric Transport Experiment (CREATE)) covers 54 fuel classes, 201 subsectors, and 13 pollutants, namely SO2, NOx, CO, non-methane volatile organic compounds (NMVOC), NH3, OC, BC, PM10, PM2.5, CO2, CH4, N2O, and Hg. For the base-year natural emissions inventory, the Model of Emissions of Gases and Aerosols from Nature (MEGAN) and BlueSky-Asia frameworks were used to estimate biogenic and biomass burning emissions, respectively. Since the CREATE emission inventory was designed/developed using international climate change/air quality (CC/AQ) assessment frameworks, such as GAINS, and has been fully connected with the most comprehensive emissions modeling systems—such as the US Environmental Protection Agency (EPA) Chemical Manufacturing Area Source (CMAS) system—it can be used to support various climate and AQ integrated modeling studies, both now and in the future.
Fish Consumption Behaviour and Perception of Food Security of Low-Income Households in Urban Areas of Ghana
Authors: Onumah Edward E. , Quaye Elizabeth A. , Ahwireng Anderson K. , Campion Benjamin B.
Published: September 2020

This paper assesses fish consumption behaviour and perception of fish food security of low-income households using three season survey data from 839 interviews in Ghana. The study profiles the types of fish consumed and employs a modified Cobb–Douglas function to examine the determinants of household expenditure on fish consumption, whilst adopting a 1–5 Likert scale to analyze the perception of fish food security. The results confirm that poor households prefer cheaper and small pelagic fish. The mean expenditure on fish consumption per week is estimated to be GHS 31.15 (Euro 4.94 ≅ 0.16). Additionally, it is demonstrated that marital status, religion, occupation, proximity to local market, and city of residence have a positive and significant influence, whilst level of income, seasonality of fish, and the interaction of religion and seasonality of fish demonstrate a negative and significant influence on fish expenditure. Finally, the paper reveals that the majority of households have the perception that fish is readily available and can be obtained throughout the year in good quality. However, households have varied opinions on accessibility of fish. The paper recommends that the government should support and enhance the value chains of small pelagic fish species since they are preferred by poor households.
Operational Excellence within Sustainable Development Concept-Systematic Literature Review
Authors: Wojtkowiak Daniel , Cyplik Piotr
Published: September 2020

The following paper was developed with a view to identifying the relationship between Sustainable Development and Operational Excellence concepts and to assess the state-of-the-art in Operational Excellence within Sustainable Development concept. Highly unstable business environments and opportunities occurring in the market require a specific approach and knowledge to achieve success. It is the authors’ view that improvements in the delivery of sustainable results through social, environmental, and economic responsibility is possible thanks to modern management concepts, strategies, and tools. These activities and approaches, when properly incorporated, significantly support the functioning of businesses in a responsible and profitable way. This paper outlines a systematic literature review of the subject described above. The literature review has been conducted with the use of two databases: Web of Science and Scopus. The results of the analysis show that there is a visible connection between Operational Excellence and Sustainable Development concepts. On the basis of the review, one can notice a strong relationship between Operational Excellence and management concepts, e.g., Lean Management. Nevertheless, the input of the selected articles based on abstract analysis compared to the whole compilation concerning Sustainable Development shows that there is a gap. The authors believe that this topic is interesting and worth further analysis.
Spatial Variation of Land Use/Cover Composition and Impact on Surface Urban Heat Island in a Tropical Sub-Saharan City of Accra, Ghana
Authors: Athukorala Darshana , Murayama Yuji
Published: September 2020

Rapid urbanization is one of the most crucial issues in the world of the 21st century. Notably, the urban heat island phenomenon is becoming more prominent in megacities and their hinterlands in temperate and subtropical climatic regions. In the daytime in summer, there exists a high possibility of accelerating the land surface temperature (LST) in desert cities, due to the alterations made by human beings in the natural environment. In this study, we investigate the spatial formation of LST in a tropical sub-Saharan city of Accra, a gateway to West Africa, using Landsat data in 2003 and 2017. Machine learning techniques and the different spatial and statistical methods such as tasseled cap transformation (TCT), urban-rural gradient, and multiresolution grid-based and landscape metrics were employed to examine procured land use/cover (LUC) and LST maps. LUC was classified into five categories: Built up, Green 1, Green 2, Bare land, and Water. The results of the analysis indicate that Built up, Green 2, and Bare land had caused the highest heating effect while Green 1 and Water had caused the considerable cooling effect during the daytime in Accra. The urban-rural difference in LST recorded 1.4 °C in 2003 and 0.28 °C in 2017. The mean size, mean shape, largest patch, and aggregation of Built up, Green 1, and Green 2 had a strong relationship with the mean LST. It is essential for urban planners to carefully examine the formation and effect of the urban heat island (UHI) for sustainable urban development and landscape policy toward mitigation and adaptation planning in Accra.
Navigating Non-Playable Characters Based on User Trajectories with Accumulation Map and Path Similarity
Authors: Kim Jong-Hyun , Lee Jung , Kim Sun-Jeong
Published: September 2020

In this paper, we propose a method to efficiently control the path of non-playable characters (NPC) in an interactive virtual environment such as a game or virtual reality (VR) by calculating a weight map and path similarity based on the user’s path. Our method automatically constructs a navigation mesh that provides a new route to the NPC by referring to the user’s trajectory. Our method finds more paths that users usually go through as time passes, and the number of users increases. Accordingly, the paths that NPCs can traverse automatically are updated adaptively to the virtual environment. In addition, NPC agents can move smartly by assigning high weights to the user’s preferred paths. We tested the usefulness of the proposed method through several example scenarios in an interactive environment such as a video game or VR, and this method can be easily applied to various types of navigation based on the interactive environment.
CBRL and CBRC: Novel Algorithms for Improving Missing Value Imputation Accuracy Based on Bayesian Ridge Regression
Authors: M. Mostafa Samih , S. Eladimy Abdelrahman , Hamad Safwat , Amano Hirofumi
Published: September 2020

In most scientific studies such as data analysis, the existence of missing data is a critical problem, and selecting the appropriate approach to deal with missing data is a challenge. In this paper, the authors perform a fair comparative study of some practical imputation methods used for handling missing values against two proposed imputation algorithms. The proposed algorithms depend on the Bayesian Ridge technique under two different feature selection conditions. The proposed algorithms differ from the existing approaches in that they cumulate the imputed features; those imputed features will be incorporated within the Bayesian Ridge equation for predicting the missing values in the next incomplete selected feature. The authors applied the proposed algorithms on eight datasets with different amount of missing values created from different missingness mechanisms. The performance was measured in terms of imputation time, root-mean-square error (RMSE), coefficient of determination (R2), and mean absolute error (MAE). The results showed that the performance varies depending on missing values percentage, size of the dataset, and the missingness mechanism. In addition, the performance of the proposed methods is slightly better.
Padé and Post-Padé Approximations for Critical Phenomena
Authors: Gluzman Simon
Published: September 2020

We discuss and apply various direct extrapolation methods for calculation of the critical points and indices from the perturbative expansions my means of Padé-techniques and their various post-Padé extensions by means of root and factor approximants. Factor approximants are applied to finding critical points. Roots are employed within the context of finding critical index. Additive self-similar approximants are discussed and DLog additive recursive approximants are introduced as their generalization. They are applied to the problem of interpolation. Several examples of interpolation are considered.
Vaccinations and Chronic Diseases: Knowledge, Attitudes, and Self-Reported Adherence among Patients in Italy
Authors: Napolitano Francesco , Della Polla Giorgia , Capano Maria Simona , Augimeri Michela , Angelillo Italo Francesco
Published: September 2020

The aims of this cross-sectional survey were to evaluate the knowledge, attitudes, and self-reported adherence to recommended vaccinations among a random sample of patients with chronic conditions presenting for a medical visit in out-patient clinics in Italy. Patients who were healthcare workers (HCWs), those with diabetes, those who had received information by Internet, physicians, and friends/relatives, and those who needed more information were more likely to know that the influenza vaccine is recommended for patients with chronic diseases. More than half (58.2%) and 8.9% self-reported to have received at least one recommended vaccination and more than one, respectively. Patients who believed that vaccine-preventable diseases (VPDs) were dangerous for them, those who had received information by physicians, and those who needed information were more likely to have received at least one recommended vaccination. This behavior was less likely in married patients, those who were worried about the side effects of the vaccines, and those who suffered from renal failure. The results highlight the need to implement effective vaccination programs in order to decrease the complication of VPDs in at-risk population.
Validation and Modification of the Van Genuchten Model for Eroded Black Soil in Northeastern China
Authors: Li Shuang , Xie Yun , Xin Yan , Liu Gang , Wang Wenting , Gao Xiaofei , Zhai Junrui , Li Jing
Published: September 2020

The soil water characteristic curve is highly related to soil physical characteristics, which may be affected by the soil erosion degree. To explore the applicability of the soil moisture characteristic curve model in northeastern China, two erosion degrees, (1) lightly and (2) severely eroded black soil sampled from 15 sites, were collected. The soil water contents at eight soil water suctions were measured and the parameters of the Van Genuchten (VG) model were estimated. Then, two input sets—SSCBD (sand, silt and clay percentages and bulk density) and SSCBDθ33θ1500 (SSCBD, and water contents at 33 and 1500 kPa suction) based on the Rosetta model were compared for the VG model prediction. The results showed that the parameters in the VG model had significant difference under the two eroded soils of the saturated water content (θs), but the opposite was true for the residual water content (θr), the scale parameter (α) and the shape parameter (n). In addition, the θs and θr had no significant differences but the opposite was true for the α and n under the two input sets. The simulated soil water content values of the VG model parameters derived from the Rosetta model underestimated the measured ones, except the water contents at 0 kPa. Therefore the relationships between m and n were modified for accuracy. The validation results showed that the VG model performed well when the sand content was less than 80% for the input set of SSCBD. Using the input set of SSCBDθ33θ1500 can lead to higher simulation accuracy and wider applicability compared with SSCBD under black soil.
Fate of COVID-19 Occurrences in Wastewater Systems: Emerging Detection and Treatment Technologies—A Review
Authors: Kweinor Tetteh Emmanuel , Opoku Amankwa Mark , Armah Edward Kwaku , Rathilal Sudesh
Published: September 2020

The coronavirus (COVID-19) pandemic is currently posing a significant threat to the world’s public health and social-economic growth. Despite the rigorous international lockdown and quarantine efforts, the rate of COVID-19 infectious cases remains exceptionally high. Notwithstanding, the end route of COVID-19, together with emerging contaminants’ (antibiotics, pharmaceuticals, nanoplastics, pesticide, etc.) occurrence in wastewater treatment plants (WWTPs), poses a great challenge in wastewater settings. Therefore, this paper seeks to review an inter-disciplinary and technological approach as a roadmap for the water and wastewater settings to help fight COVID-19 and future waves of pandemics. This study explored wastewater–based epidemiology (WBE) potential for detecting SARS-CoV-2 and its metabolites in wastewater settings. Furthermore, the prospects of integrating innovative and robust technologies such as magnetic nanotechnology, advanced oxidation process, biosensors, and membrane bioreactors into the WWTPs to augment the risk of COVID-19’s environmental impacts and improve water quality are discussed. In terms of the diagnostics of COVID-19, potential biosensors such as sample–answer chip-, paper- and nanomaterials-based biosensors are highlighted. In conclusion, sewage treatment systems, together with magnetic biosensor diagnostics and WBE, could be a possible way to keep a surveillance on the outbreak of COVID-19 in communities around the globe, thereby identifying hotspots and curbing the diagnostic costs of testing. Photocatalysis prospects are high to inactivate coronavirus, and therefore a focus on safe nanotechnology and bioengineering should be encouraged.
Aggregation–Decomposition-Based Multi-Agent Reinforcement Learning for Multi-Reservoir Operations Optimization
Authors: Hooshyar Milad , Mousavi S. Jamshid , Mahootchi Masoud , Ponnambalam Kumaraswamy
Published: September 2020

Stochastic dynamic programming (SDP) is a widely-used method for reservoir operations optimization under uncertainty but suffers from the dual curses of dimensionality and modeling. Reinforcement learning (RL), a simulation-based stochastic optimization approach, can nullify the curse of modeling that arises from the need for calculating a very large transition probability matrix. RL mitigates the curse of the dimensionality problem, but cannot solve it completely as it remains computationally intensive in complex multi-reservoir systems. This paper presents a multi-agent RL approach combined with an aggregation/decomposition (AD-RL) method for reducing the curse of dimensionality in multi-reservoir operation optimization problems. In this model, each reservoir is individually managed by a specific operator (agent) while co-operating with other agents systematically on finding a near-optimal operating policy for the whole system. Each agent makes a decision (release) based on its current state and the feedback it receives from the states of all upstream and downstream reservoirs. The method, along with an efficient artificial neural network-based robust procedure for the task of tuning Q-learning parameters, has been applied to a real-world five-reservoir problem, i.e., the Parambikulam–Aliyar Project (PAP) in India. We demonstrate that the proposed AD-RL approach helps to derive operating policies that are better than or comparable with the policies obtained by other stochastic optimization methods with less computational burden.
Risk Assessment of China’s Water-Saving Contract Projects
Authors: Li Qian , Shangguan Ziheng , Wang Mark , Yan Dengcai , Zhai Ruizhi , Wen Chuanhao
Published: September 2020

In order to alleviate the problem of water shortage, the Ministry of Water Resources of China proposed a Water-Saving Contract (WSC) project management model in 2014, which is similar to the Energy Performance Contract (EPC). In this context, this research aims to explore the applicability of China’s WSC projects by risk assessment, and to help promote WSC projects in China. Different from traditional risk assessment, this paper takes into account the uncertainty of the EPC project’s risks, and adopts the multielement connection degree set pair analysis to evaluate both the level and trend of the risks. The results show: (1) the overall risk of China’s WSC projects is low, so WSC projects are very suitable for promotion in China. However, the overall risk shows a trend of decelerated ascent, which shows that there are some potential high-risk factors in China’s WSC projects; (2) among the many risks of the WSC projects, audit risk, financing risk, and payment risk are at a high-risk level; market competition risk is at a medium-risk level; the remaining risks are at a low-risk level; (3) among the medium and high risks, audit risk, financing risk, and market competition risk have a trend of accelerated ascent, while payment risk has a trend of decelerated decline; in low risks, inflation risk has a trend of decelerated ascent, while the remaining risks have a trend of accelerated decline.
INVESTIGATION OF CHANGING THE CONFIGURATION OF A CRAWLING ROBOT WHEN CONTROLLING MODULE LENGTHS
Authors: Vorochaeva L. Yu. , Savin S. I. , Yatsun A. S.
Published: September 2020

The article considers one of the possible variants of moving a three-module crawling robot on a horizontal rough surface - changing its configuration when fixing two extreme supports on the surface and controlling the module lengths.
MACHINE SERVICE AUTOMATION BY A COLLABORATIVE ROBOT BASED ON PATTERN-ORIENTED PROGRAMMING
Authors: Gelshtein A. K. , Kashevnik A. M.
Published: September 2020

The paper presents an approach to machine service process automation by a collaborative robot aimed at software code generation for the robot. The approach is based on the pattern-oriented programming and allows to take into account both various scenarios of part processing and input parameters.
ALGORITHM OF TARGET POINT SETTING FOR COLLISION-FREE RECONFIGURATION OF ROBOT SWARM
Authors: Izhboldina V. V. , Vatamaniuk I. V. , Usina E. E.
Published: September 2020

St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences An algorithm for collision-free robot reconfiguration is presented, based on search for short mappings between start and target positions, which minimizes the total length of straight robotic paths. Modeling results for a swarm up to 10000 agents are presented.
TRAJECTORY FOLLOWING SYSTEM FOR AUTONOMOUS CAR
Authors: Markov A. E. , Terekhov S. E. , Andreev A. E. , Gorelik R. E.
Published: September 2020

Trajectory following algorithm for autonomous car model with feedback by stereo-camera is presented. Main subsystems of autonomous car control system are described.
MATHEMATICAL MODEL OF ANTILOCK BRAKING SYSTEM WITH INCLUSION OF THE QUATERNION
Authors: Marchuk E. A.
Published: September 2020

The article discusses a description of rotation kinematics in representation of the quaternions and processing of vehicle onboard sensors signals having used Kalman Filter in relation to the task of mathematical modeling of antilock braking system of ground wheeled vehicle.
THE METHOD OF HYBRID INDOOR NAVIGATION MODEL AUTOMATIC CONFIGURATION
Authors: Shchekotov M. S. , Pashkin M. P. , Savosin S. V. , Smirnova O. V.
Published: September 2020

The proposed method of automatic configuration of the hybrid model of navigation of people and mobile robots inside the premises allows creating a unified semantic description of contextual information, parameters of navigation methods, as well as configuration rules and calibration of these methods using the navigation ontology and rules system.
Espaços Públicos de Lazer
Authors: Araújo Carolina Dutra de , Cândido Débora Regina Campos , Leite Márvio Fonseca
Published: September 2020

O lazer é um importante componente da qualidade de vida do cidadão. No caso dos portadores de necessidades especiais, possibilita integração comunitária, aumento da auto-estima, como também o desenvolvimento e descoberta de novas potencialidades individuais. Promover a acessibilidade em ambiente construído é proporcionar condições de mobilidade, com autonomia e segurança, constituindo um direito universal resultante de conquistas sociais importantes, que reforçam o conceito de cidadania. Nesta perspectiva, foram avaliadas as condições de conservação e adequação dos espaços de lazer público do município de Barra Mansa, com vistas à atividade turística. Acredita-se que essa seja uma questão prioritária do governo, já que o “Plano Nacional de Turismo 2007-2010: uma viagem na acessibilidade” prioriza a inclusão de minorias sociais. As áreas analisadas em Barra Mansa foram àquelas apontadas no “Inventário da Oferta Turística” como atrativos do município.
Notas sobre Corpo, Saúde e Ludicidade
Authors: Mendes Maria Isabel Brandão de Souza , Melo José Pereira de
Published: September 2020

Este artigo apresenta uma reflexão teórica que contribuiu com o desenvolvimento da pesquisa intitulada “Na contramão da disciplinarização dos corpos: as atividades lúdicas, as unidades de saúde da família e a intersetorialidade” financiada pelo Ministério do Esporte - Rede CEDES. O objetivo desse estudo foi estabelecer reflexões sobre discursos e práticas educativas em saúde, tecendo relações com a ludicidade e o corpo. Primeiramente, indaga-se sobre o reforço da ludicidade a disciplinarização dos corpos e depois, sobre a possibilidade de se oferecer resistências a esse processo. Diante dos argumentos apresentados, ressaltou-se a importância de refutarmos uma visão idealizada da ludicidade e a necessidade de compreendermos o lúdico como fenômeno existencial, que pode estar presente em diversos momentos do cotidiano.
O Lazer e o Reino da Liberdade
Authors: Custodio Mariana Lopes , Sousa Wilson Luiz Lino de , Mascarenhas Fernando , Húngaro Edson Marcelo
Published: September 2020

O problema investigativo que dá origem a este texto relaciona-se à antinomia lazer e trabalho, considerando nesta relação o tema da liberdade e analisando- o à luz da ontologia do ser social. Pretende demonstrar a importância da impostação ontológica de Lukács para a reflexão sobre liberdade e necessidade. Assim, busca apontar como o lazer se configura no discurso dos autores que o perspectivam como um tempo de fruição da liberdade, para, num segundo momento, discutir a centralidade ontológica do trabalho e ajuizar a indissociabilidade entre liberdade e necessidade.
A Vivência do Lazer sob uma Perspectiva Histórica
Authors: Pereira Laurindo Mékie , Silva Luciano Pereira da
Published: September 2020

Este artigo analisa as vivências de lazer no município norte - mineiro de Montes Claros. O recorte temporal é a segunda metade do século XX, período no qual todo o país, bem como o município, passou por importantes transformações econômicas, culturais e demográficas que, evidentemente, provocaram mudanças também no setor lazer. O objetivo principal é compreender, em uma perspectiva histórica, as especificidades deste processo em Montes Claros/MG.
Do Jogo e do Lúdico no Ensino da Educação Física Escolar
Authors: Melo José Pereira de , Dias João Carlos Neves de Souza e Nunes
Published: September 2020

Compreendendo o jogo como fenômeno da cultura e como conteúdo da Educação Física escolar, a partir da Cultura de Movimento, direcionamos nossa reflexão na relação entre jogo e lúdico. No sentido de evidenciar aproximações e distanciamentos, destacamos o esporte moderno como um ponto de tensão dessa relação, que resignifica o sentido do jogo e sua relação com o lúdico.
Intelligent Music Player Based on Emotions
Authors:   Student, Pimpri Chinchwad College of Engineering & Research, Pune, India., Chandane Mahima , Chavan Ankita ,   Student, Pimpri Chinchwad College of Engineering & Research, Pune, India., Kamath Renuka ,   Student, Pimpri Chinchwad College of Engineering & Research, Pune, India., Madane Dipali ,   Student, Pimpri Chinchwad College of Engineering & Research, Pune, India., Badole Madhuri ,   Teacher, Pimpri Chinchwad College of Engineering & Research, Pune, India.
Published: September 2020

This project presents a system to automatically detect emotional dichotomy and mixed emotional experience using a Linux based system. Facial expressions, head movements and facial gestures were captured from pictorial input in order to create attributes such as distance, coordinates and movement of tracked points. Web camera is used to extract spectral attributes. Features are calculated using Fisher face algorithm. Emotion detected by cascade classifier and feature level fusion was used to create a combined feature vector. Live actions of user are to be used for recording emotions. As per calculated result system will play songs and display books list.
Robust Watermarking Technique for Sharing Family Photos on Social Media using Aadhar Number and DCT
Authors:   Department of Computer Science & Engineering, Shobhit Institute of Eng. & Technology (Deemed-to-be-University), Meerut., Varshney Deepti , Bansal Dr. Mamta ,   Department of Computer Science & Engineering, Shobhit Institute of Eng. & Technology (Deemed-to-be-University), Meerut., Sharma Dr. Birendra Kumar ,   Department of MCA, AKG Engineering College, Ghaziabad.
Published: September 2020

The mind setup of persons has been changed in today’s environment due to the easily available of internet and smart phone on very low-price cost. Smart phone and internet are two main resources which are being used by persons most of the time in his/her daily routine specially in lockdown due to COVID-19. In this lockdown, persons are doing some creative activity, making fun, etc and recording all his/her this personal information in the form of multimedia contents like text, images, audio and video. This created multimedia content is shared by persons frequently on globe through internet in the daily routine life and some other persons are watching this daily routine activity and making huge business with these data by sometimes with original content or sometimes with modified content without concerns/information/permission of the originator. In this process if everything is going in right way then no issues but if something going wrong then require legal issues and for this, we need to protect our data legally through some methodology. So this paper proposed secure watermarking technique for protecting multimedia content like images using Aadhar number and Discrete Cosine Transform (DCT) technique. In this proposed methodology individual can share the information’s with watermarked information which is hidden in shared images and on demand at the time of legal issue originator will show the actuality and its ownership. This paper explained details concepts of the embedding and reverse of embedding ( i.e. extracting) process for authentication of the images and its protection from the misuse or fraud. The experimental result of the proposed methodology is shown on different family photos shared on globe and found robust results.
The Multi Stage U net Design for Brain Tumor Segmentation using Deep Learning Architecture
Authors:   Assistant Professor. Dept of ECE PNC vijai Institute of Eng & Technology KKR&KSR Institute of science and Technology. Guntur, Andrapradesh, India., Veni Putta. Rama Krishna , Bala Dr .C Aruna ,   Professor. Dept of ECE PNC vijai Institute of Eng & Technology KKR&KSR Institute of science and Technology. Guntur, Andrapradesh, India.
Published: September 2020

Now a day’s diagnosis and accurate segmentation of brain tumors are critical conditions for successful treatment. The manual segmentation takes time consuming process, more cost and inaccurate. In this paper implementation of cascaded U-net segmentation Architecture are divided into substructures of brain tumor segmentation. The neural network is competent of end to end multi modal brain tumor segmentations.The Brain tumor segments are divided three categories. The tumor core (TC),the enhancing tumor(ET),the whole tumor (WT).The distinct data enhancement steps are better achievement. The proposed method can test result conclude average counter scores of 0.83268, 0.88797 and 0.83698, as well as Hausdorff distances 95%) of 2.65056, 4.61809 and 4.13071, for the enhancing tumor(ET), whole tumor (WT) and tumor core (TC) respectively. In this method validating with BraTS 2019 dataset and identify the test time enhancement improves the Brain tumor segmentation accurate images.
Bioinformatics Database Query Performance and Optimization
Authors:   Informatics Department, Universitas Mulawarman, Samarinda, Indonesia., Budiman Edy , Tejawati Andi ,   Informatics Department, Universitas Mulawarman, Samarinda, Indonesia., Hairah Ummul ,   Informatics Department, Universitas Mulawarman, Samarinda, Indonesia.
Published: September 2020

Borneo bioinformatics portal test is a critical element of SQA and represents a comprehensive review of specifications, design and coding. The test represents an abnormality in the development of the portal. A series of tests systematically reveals several different types of errors. This study aims to evaluate the performance and optimization of Borneo’s Bioinformatics portal with a series test activities using the Web Performance Optimization methodology. Testing query performance with measuring the response time and page loading timings from the object relationship mapping (ORM) model Laravel PHP framework in offline and online. For optimization, we set a pre-test and post-test scenario to evaluate the efficiency performance test results. The results study found that the query relation model, parsing script (javaScript and CSS), service scale and dimension images in the interaction process to the database are the dominant resources affecting the performance of the Bioinformatics portal. Performance optimization through determining the appropriate query relation model, minify and defer parsing script or combine images using CSS sprites to reduce scala image.
Computational Simulation – Design & Analysis Functionality of Grid Connected GC Photo-Voltaic PV System
Authors:   M.Tech, AzadInstituteof Engineering, Lucknow (U.P), India., Tripathi Preeti , Khan Imran ,   AzadInstituteof Engineeringand Technology, Lucknow (U.P), India.
Published: September 2020

The electrical power produced via photo-voltaic (PV) array relies largely on weather conditions. In this paper, we presented a continuous state functionality of the PV grid-connected (GC) unit at distinct solar irradiances. The presented model is developed on MATLAB environment, which includes the PV array using an improved perturb and observe (MP&O) tracking system interconnected to DC to DC boosting conversion application, the 3-phase 3 level electric power inverter which usually associated to the utility grid using low pass filter, coupled transformer and synchronous control mechanism of PV inverter. The presented model is lab-created within day-by- day climatic conditions to estimate its working mechanism. The simulation results of the proposed system satisfy requirements grid performance with high power quality. In the proposed work number of cell modules used 90, number of parallel strings 60, maximum PV output voltage1000wb/m2 at 274 V, minimum voltage at 600 wb/m2 at 250V, maximum power at 1000 wb/m2-100 kw, and minimum power at 600 wb/m2-57 kw.
EPISTEMOLOGI ISLAM: Kajian Terhadap Teks al-Qur’an Surah al-‘Alaq
Authors: Hantoro Ramandha Rudwi
Published: September 2020

Pengetahuan Barat menitik beratkan keilmuannya pada rasionalisme, empirisme dan idealisme yang menjadikan mereka krisis keyakinan yang berakibat pada krisis kemanusiaan yang mereka. Pada titik ini agama memiliki sumber pengetahuan yang tidak mampu dicapai oleh rasio maupun akal manusia, pada ranah epitimologis agama menawarkan solusi dan jawaban dari semua pertanyaan yang tidak mampu dijawab oleh akal manusia. Paper ini bertujuan menggali lebih dalam pesan dan panduan berpikir dari Sang Maha Esa untuk manusia dari wahyu pertama yang diturunkan kepada Nabi-Nya Muhammad -salallahu ‘alaihi wa sallam- dalam Q.S al-‘alaq. Perintah membaca oleh Sang Khalik tidak berhenti pada bacaan teks, tetapi ada tiga “kitab” yang harus dibaca oleh manusia agar memiliki pengetahuan yang komprehensif. Disinilah manusia dituntut untuk membaca tiga “kitab” yang disediakan oleh sang Khaliq, yaitu: kitabullahi Masthur (kitab yang tertulis), kitabullahi makdzur (kitab yang berupa ciptaan-Nya), dan kitabullahi mansyur (kitab dalam bentuk peradaban manusia dan peraturannya). Pembacaan dari kitab inilah yang kemudian menjadikan manusia memiliki pengetahuan yang valid dan komprehensif.
الإسرائيليات في تفسير ابن جرير الطبري من خلال سورة يوسف
Authors: Utama Fajar Tresna
Published: September 2020

Pembahasan tentang israilyat merupakan pembahasan yang penting untuk dipelajari oleh peneliti guna menjelaskan kebenarannya. Hal tersebut terkait adanya riwayat Israilyat tercampur dengan riwayat dusta dan tidak diketahui asal-usulnya, yang dapat menyebabkan penyimpangan sehingga berbahaya bagi akidah umat dan hakikat Islam. Oleh sebab itu, maka perlu dilakukan penelitian untuk menyingkap kerancuan dari riwayat yang dusta tersebut, sehingga masyarakat dapat berhati-hati dan lebih lanjut dapat menghilangkan riwayat dusta itu dari kitab-kitab tafsir. Tulisan ini berjudul Israiliyat dalam Surat Yusuf, Perspektif Tafsir Ibnu Jarir At-Thabari dalam Surat Yusuf yang di dalammnya mencakup defenisi dan pandangan Ibnu Jarir terhadap israilyat, selain itu tulisan ini juga membahas defenisi surat Yusuf. Penelitian yang dilakukan dengan metode studi pustaka terhadap Kitab Tafsir Ibnu Jarir At-Thabari. Pada kitab tersebut ditemukan riwayat israilyat dalam surat Yusuf yang perlu dijelaskan kebenaran riwayat tersebut.