bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Impact of Tourism Development on the Sustainable Development of Reservoir Headwater Area Using China’s Tingxi Reservoir as an Example
Authors: Shen Chih-Chien , Liang Chou-Fu , Hsu Chin-Hsien , Chien Jung-Hul , Lin Hsiao-Hsien
Published: November 2020

The purpose of this study was to understand the impact of tourism development on the sustainable development of Tingxi Reservoir. Based on tourism impact theory, 804 questionnaires were statistically validated and analyzed, followed by a semi-structured interview with five respondents, and finally examined by a multivariate verification method. The study found that not only did development fail to raise land and housing prices, develop leisure activities, improve medical facilities, and supplement police manpower, but it also increased consumer costs and environmental damage. There were also problems such as insufficient interpreters, parking and rest facilities, and ineffective management of communication channels, bicycle facilities, and tourist waste, which did not help youths to return to their hometowns. Furthermore, due to the disparities in the performance of leisure opportunities, medical and health care, spatial planning, and cultural development, there were different opinions among the stakeholders. Suggestions: (1) Satisfy the needs of different stakeholders; (2) Improve the environmental literacy of tourists and provide more garbage cans; (3) Develop additional scenic spots to divert tourists; (4) Stabilize prices and attract investment from enterprises; and (5) Increase the participation of residents in community development to supplement industrial manpower.
Predicting the Water Requirement for Rice Production as Affected by Projected Climate Change in Bihar, India
Authors: Jha Ranjeet K. , Kalita Prasanta K. , Cooke Richard A. , Kumar Praveen , Davidson Paul C. , Jat Rajkumar
Published: November 2020

Climate change is a well-known phenomenon all over the globe. The influence of projected climate change on agricultural production, either positive or negative, can be assessed for various locations. The present study was conducted to investigate the impact of projected climate change on rice’s production, water demand and phenology for the state of Bihar, India. Furthermore, this study assessed the irrigation water requirement to increase the rice production by 60%, for the existing current climate scenario and all the four IPCC climate change scenarios (RCP 2.6, RCP 4.5, RCP 6.0 and RCP 8.5) by the 2050s (2050–2059). Various management practices were used as adaptation methods to analyze the requirement of irrigation water for a 60% increase in rice production. The climate data obtained from the four General Circulation Models (GCMs) (bcc_csm1.1, csiro_mk3_6_0, ipsl_cm5a_mr and miroc_miroc5) were used in the crop growth model, with the Decision Support System for Agrotechnology Transfer (DSSAT) used to simulate the rice yield, phenological days and water demand under all four climate change scenarios. The results obtained from the CERES-Rice model in the DSSAT, corresponding to all four GCMs, were ensembled together to obtain the overall change in yield, phenology and water demand for 10 years of interval from 2020 to 2059. We investigated several strategies: increasing the rice’s yield by 60% with current agronomic practice; increasing the yield by 60% with conservation agricultural practice; and increasing the rice yield by 30% with current agronomic practice as well as with conservation agricultural practices (assuming that the other 30% increase in yield would be achieved by reducing post-harvest losses by 30%). The average increase in precipitation between 2020 and 2059 was observed to be 5.23%, 13.96%, 9.30% and 9.29%, respectively, for RCP 2.6, RCP 4.5, RCP 6.0 and RCP 8.5. The decrease in yield during the 2050s, from the baseline period (1980–2004), was observed to be 2.94%, 3.87%, 4.02% and 5.84% for RCP 2.6, RCP 4.5, RCP 6.0 and RCP 8.5, respectively. The irrigation requirement was predicted to increase by a range of 39% to 45% for a 60% increase in yield using the current agronomic practice in current climate scenario and by 2050s with all the four climate change scenarios from the baseline period (1980–2004). We found that if we combine both conservation agriculture and removal of 30% of the post-harvest losses, the irrigation requirement would be reduced by 26% (45 to 19%), 20% (44 to 24%), 21% (43 to 22%), 22% (39 to 17%) and 20% (41 to 21%) with current climate scenario, RCP 2.6, RCP 4.5, RCP 6.0 and RCP 8.5 conditions, respectively. This combination of conservation practices suggests that the irrigation water requirement can be reduced by a large percentage, even if we produce 60% more food under the projected climate change conditions.
The role of concern for error in the relationship between implicit intelligence theory and the perceived competency
Authors: Doucet Mariane , Bouffard Thérèse , Vezeau Carole
Published: November 2020

Little is known about how implicit theories of intelligence and perceived competence are related. This study examines whether concern over mistakes mediates this relationship. A total of 508 students (255 girls) in grade 4 or 5 completed self-reported surveys for four consecutive years. Each year, the results of the mediation analysis indicate that students who perceive their intelligence as more malleable have a stronger sense of competence (r = .25 to .32, p < .001), while the more concerned they are over mistakes, the lower their perceived competence (r = -.18 to -.26, p < .001). At each time of measurement, the concern over mistakes weakens the relationship between the conception of intelligence and perceived competence, which remains significant and moderate, but the role of concern over mistakes tends to fade over time. Keywords: intelligence theory, mistake preoccupation, perception of competence, mediation analysis, elementary and high school education La relation entre la théorie implicite de l'intelligence et la perception de compétence reste peu connue. Cette étude examine le rôle potentiellement médiateur de la préoccupation envers l'erreur dans cette relation. Les 508 élèves participants (255 filles) de 4e année ou 5e année du primaire au début de l'étude ont répondu aux questionnaires pendant quatre ans consécutifs. Les résultats des analyses de médiation faites tous les ans indiquent que plus les élèves ont une conception dynamique de l’intelligence, plus leur perception de compétence est élevée (r = .25 à .32, p < .001) alors que plus ils sont préoccupés par l’erreur, moins leur perception de compétence est élevée (r = -.18 à -.26, p < .001). À chaque temps de mesure, la préoccupation envers l'erreur diminue significativement le lien entre la conception de l'intelligence et la perception de compétence, mais ce dernier reste significatif et modéré. Mots-clés : théorie de l'intelligence, préoccupation envers l’erreur, perception de compétence, analyse de médiation, enseignement primaire et secondaire
Taxi Tipping in New York City (2014-2017): Reciprocity in Hailed vs. Dispatched Cab Fares
Authors: Raymond Amber , Cramer Kenneth
Published: November 2020

The present study evaluated the extent to which reciprocity (equity) theory could explain differential levels of tipping in New York taxi fares. From 2014 to 2017, the database recorded 73 million cab fares; however, only credit transactions (i.e., recording patrons’ tips) were included (28 million fares). Based on a reciprocity hypothesis, patrons in cabs hailed randomly off the street were expected to tip more compared to patrons who arranged travel at a dispatch centre. An analysis of covariance for each of the four years supported this, wherein patrons in hailed cabs tipped twice the percentage (14%) than patrons in dispatched cabs (7%); these results were confirmed using equivalent procedures that assumed neither normality nor variance homogeneity. Several limitations are discussed, as are directions for future research. Keywords: reciprocity, tipping, equity, genuine intention, taxi
COVID-19 in Patients with CKD in New York City
Authors: Akchurin Oleh , Meza Kelly , Biswas Sharmi , Greenbaum Michaela , Licona-Freudenstein Alexandra P. , Goyal Parag , Choi Justin J. , Choi Mary E.
Published: November 2020

Background

COVID-19 has affected millions of people, and several chronic medical conditions appear to increase the risk of severe COVID-19. However, our understanding of COVID-19 outcomes in patients with CKD remains limited.

Methods

This was a retrospective cohort study of patients with and without CKD consecutively admitted with COVID-19 to three affiliated hospitals in New York City. Pre–COVID-19 CKD diagnoses were identified by billing codes and verified by manual chart review. In-hospital mortality was compared between patients with and without underlying CKD. Logistic regression was used to adjust this analysis for confounders and to identify patient characteristics associated with mortality.

Results

We identified 280 patients with CKD, and 4098 patients without CKD hospitalized with COVID-19. The median age of the CKD group was 75 (65–84) years, and age of the non-CKD group 62 (48–75) years. Baseline (pre–COVID-19) serum creatinine in patients with CKD was 1.5 (1.2–2.2) mg/dl. In-hospital mortality was 30% in patients with CKD versus 20% in patients without CKD (P<0.001). The risk of in-hospital death in patients with CKD remained higher than in patients without CKD after adjustment for comorbidities (hypertension, diabetes mellitus, asthma, and chronic obstructive pulmonary disease), adjusted OR 1.4 (95% CI,1.1 to 1.9), P=0.01. When stratified by age, elderly patients with CKD (age >70 years) had higher mortality than their age-matched control patients without CKD. In patients with CKD, factors associated with in-hospital mortality were age (adjusted OR, 1.09 [95% CI, 1.06 to 1.12]), P<0.001, baseline and admission serum phosphorus (adjusted OR, 1.5 [95% CI, 1.03 to 2.1], P=0.03 and 1.4 [95% CI, 1.1 to 1.7], P=0.001), serum creatinine on admission >0.3 mg/dl above the baseline (adjusted OR 2.6 [95% CI, 1.2 to 5.4]P=0.01), and diagnosis of acute on chronic kidney injury during hospitalization (adjusted OR 4.6 [95% CI, 2.3 to 8.9], P<0.001).

Conclusions

CKD is an independent risk factor for COVID-19–associated in-hospital mortality in elderly patients. Acute-on–chronic kidney injury increases the odds of in-hospital mortality in patients with CKD hospitalized with COVID-19.
Knowledge Discovery And Virtual Tour To Support Tourism Promotion
Authors: Nata Gusti Ngurah Mega , Anthony Steven , Yudiastra Putu Pande
Published: November 2020

Planning a tourism trip is an important part for tourists so that their tour is satisfying. Service bureaus that have a function to help provide information and prepare tourist travel plans for tourists often provide random destination choices because they do not know the pattern of selecting tourist destinations. This will be detrimental to tourists when service bureaus make wrong tourism travel plans. Tourists also often find it difficult to determine which tourist destination to go to because they do not know the environmental conditions in tourist destinations. To overcome this problem, in this study, knowledge discovery and virtual tours are carried out to increase the promotion of tourism. Knowledge discovery is finding information or knowledge. Knowledge discovery uses data mining techniques to perform data analysis and find patterns. The data mining model that can be used is the frequent pattern by looking for Association Rule Mining from the data. Virtual tour is a technique that can provide 360 ??+ 180 degree images. The virtual tour will be able to show the overall environmental conditions at the tourist destination. The results that have been obtained are in the form of a quick recommendation of tourist attractions in accordance with the country of origin of tourists based on the Association rule mining values. The virtual tour has presented a 360 degree panoramic photo view to inform the environment situation in the place commented by the system.
The evolution of the government system of Northern Macedonia between “slithering” instability and permanent transition
Authors: Ratto Trabucco Fabio
Published: November 2020

Northern Macedonia is a typical example of instability within the former Yugoslavia due to the well-known geopolitical implications: the Albanian minority and the denomination, both of which have only recently been overcome. However, a semi-presidential system of government emerges that is not dissimilar from other Central-Eastern European countries, which, transcending the classic Duverger model, is characterized by a predominance of parliamentary centrality opposed to the Head of State without significant constitutional powers. Only a President with a strong personality appears to be able to influence government action, through his power as a magistrate of influence and persuasion. Otherwise, the nationalist Gruevski’s Prime Minister decade was characterized by authoritarianism with a hybrid regime or an illiberal democracy. Thus, the political, institutional, historical and interethnic conditions of the country did not, therefore, favor the evolution of the semi-presidential system towards a “strong President” model.
Simulation of silicon wafers heating during rapid thermal processing using “UBTO 1801” unit
Authors: Solovjov J. A. , Pilipenko V. A. , Yakovlev V. P.
Published: November 2020

The present work is devoted to determination of the dependence of the heating temperature of the silicon wafer on the lamps power and the heating time during rapid thermal processing using “UBTO 1801” unit by irradiating the wafer backside with an incoherent flow of constant density light. As a result, a mathematical model of silicon wafer temperature variation was developed on the basis of the equation of nonstationary thermal conductivity and known temperature dependencies of the thermophysical properties of silicon and the emissivity of aluminum and silver applied to the planar surface of the silicon wafer. For experimental determination of the numerical parameters of the mathematical model, silicon wafers were heated with light single pulse of constant power to the temperature of one of three phase transitions such as aluminum-silicon eutectic formation, aluminum melting and silver melting. The time of phase transition formation on the wafer surface during rapid thermal processing was fixed by pyrometric method. In accordance with the developed mathematical model, we determined the conversion coefficient of the lamps electric power to the light flux power density with the numerical value of 5.16∙10-3 cm-2 . Increasing the lamps power from 690 to 2740 W leads to an increase in the silicon wafer temperature during rapid thermal processing from 550°to 930°K, respectively. With that, the wafer temperature prediction error in compliance with developed mathematical model makes less than 2.3 %. The work results can be used when developing new procedures of rapid thermal processing for silicon wafers.
Case Study of Modular Pre-cast Concrete On-Site Stormwater Detention System during Monsoon Season in Southeast Asia
Authors: Mah Darren Y.S. , Ngu Johnny O.K. , Bustami Rosmina A. , Putuhena Frederik J.
Published: November 2020

On-site stormwater detention system within a residential property is meant for an environmental protection device that temporarily stores stormwater within the property lot to mitigate flash flood, particularly during rainy seasons brought by the northeast monsoon. A field test was constructed in a house’s car porch with a 4.40 m x 4.70 m x 0.45 m tank filled with precast-concrete modular units with an effective storage volume of 3.97 m3. The system received water from a 95 m2 house roof via 0.1 m diameter pipe, discharged water via 0.05 m diameter pipe. It had recorded six observed storm events coincided with the 2019/2020 monsoon season that consisted 20–50 mm peak hourly rainfall, 0.0007–0.0018 m3 s-1 inflow, 0.0005–0.0012 m3 s-1 outflow and 0.21–0.47 m water level. Another four historical storm events coincided with the monsoon from 2015–2017 were sourced to augment the analysis. A computer model developed using the storm water management model was calibrated and verified using the six observed events. The Kolmogorov-Smirnov goodness of fit tests between the observed and modelled cumulative distributions had produced 0.01–0.14 maximum vertical distances that were lower than the 0.41–0.68 critical values indicating close matches. As such, the calibrated and verified model was used to simulate the historical storm events with 40–50 mm peak hourly rainfall and produced 0.0010–0.0013 m3 s-1 inflow, 0.00072–0.00076 m3 s-1 outflow and 0.41–0.45 m water level. By combining the field test and computer simulation model, it was found the system was able to contain all stormwaters from northeast monsoon. However, it had a weakness which the system was approaching its maximum capacity once the peak hourly rainfall exceeded 45 mm. With such a procedure in place, improvement could be carried out.
Online Platforms as a Modern Marketing Tool (Through the Example of the European Union)
Authors: Moroz E. V. , Zuev V. N.
Published: November 2020

Aim. The presented study aims to assess the impact of Internet platforms on the efficiency of commercial and economic activities of agents, through the example of the European Union (hereinafter — the EU). Tasks. The authors consider the characteristics of the European Union’s marketplaces, assess the impact of social networks on consumer shopping habits, examine e-commerce statistics in the European Union and the initiatives taken by the EU to improve e-commerce. Methods. This study uses general methods of cognition to identify the specific features of product promotion in the online space, analyze statistical indicators, and determine the relationship between the use of digital information processing channels and the demand for goods. Results. Examination of marketplace platforms shows that they are not a perfect channel for promoting products online. However, their significance has been growing rapidly in recent years. Platform solutions such as mobile networks and social networks significantly increase online sales. However, online channels have both advantages and disadvantages, which the European Union solves by introducing supranational regulation of online sales agents. Conclusions. Further improvement of e-commerce processes requires supranational regulation and consumer engagement to increase their awareness of the opportunities provided by e-commerce.
Internal Control as a Catalyst for Clean Audit Outcomes in the Local Government The Moderating Role of Information Technology
Authors:   Department of Auditing, Tshwane University of Technology, South Africa., Motubatse KN , Ngwakwe CC ,   Faculty of Management and Law University of Limpopo., Sebola M ,   Faculty of Management and Law University of Limpopo.
Published: November 2020

There is a pressing need for effective monitoring of internal control systems to ensure that municipalities improve and sustain audit outcomes. In this context, there is the need for the management of municipalities to monitor the performance and maintenance of the adequate systems of internal controls available. The objective of this study is to examine the moderating role of information technology (IT) system governance in internal control on the achievement of clean audit outcome. The paper applied a quantitative approach with the aid of simple regression analysis. Data analysis was conducted in two phases; the first phase without IT governance and the second phase introduced the IT governance. Results from the analysis showed that the first phase without the IT system governance was insignificantly related to clean audit outcome; but the second phase with the IT system governance showed a p-value of less than 0.01 which shows that the moderating role of IT governance improved the model to be significantly related to clean audit outcome. The practical implication is that the effectiveness of municipal internal control toward an improved audit outcome can be enhanced significantly if information technology system governance is installed and managed efficiently in local municipalities. Future researcher on municipal internal, provincial or national control should include the IT system governance in their research model.
Design and Simulation of Electric Vehicle
Authors:   Goa college of engineering ponda Goa. India., Dhrawadkar Sunay , Dani Umesh H ,   Shresha Technocraft . Goa India., Harmalkar Sarvesh ,   AITD Engineering college. Goa India., Joshi Atharv ,   Shresha Technocraft . Goa India.
Published: November 2020

This paper is all about Design of Electric Vehicle. The growing development in the field of Electric vehicle in the need of the hour. In effort to save the environment and reduce our dependence on foreign oil, we planned of designing an Electric vehicle which can be used in conversion of any basic IC engine vehicle. Rapid climatic change, advances in renewable energy, rapid urbanization, battery chemistry and energy security are the result of developing an electric vehicle. In this paper we have consider most of the design aspect of electric vehicle and checked the results using a simulation software named modelica. This software enables us to have various drive trains, load dynamics and torque analysis. The Electric vehicles are environmental friendly, less expensive low maintenance, tend to be quiet, potential for tax credits and benefits to the utilities. IC engines automobiles emit harmful gases which are dangerous to health on other hand the electric vehicles emit hardly any harmful gases. NOMENCLATURE
Designing A Cloud-Based Framework using Data Mining for Healthcare Services in Remote Areas
Authors:   Assistant Professor, Department of Computer Science and Engineering, Bakhtiyarpur College of Engineering Patliputra, Patna (Bihar), India., Patel Vijesh Kumar , Singh Jyoti Prakash ,   Assistant Professor and Head, Department of Computer Science and Engineering, National Institute of Technology Patna (Bihar), India.
Published: November 2020

Advancement is recently made inthe medicinal field producesnew innovative technologies to the healthcare sector and medical services. Access to quality healthcare is a major problem in remote areas, with a doctor-to-patient ratio as high as 1:20,000 which is far above the recommended ratio of the World Health Organization (WHO). This has been antagonized by a lack of access to critical infrastructures such as the health care facilities, roads, electricity, and many others. To watch basic medical parameters for identifying the abnormalities within the first stage of chronic diseases need regular interval hospital visits, which can be a comparatively costly and time-consuming process. Rare availabilities of doctors or medical centers, ignorance of the people, and proper care at the right time are the prime causes of great medical concern, which leads to unexpected death. This work is an attempt to solve basic health problems and take advice from registered medical experts for the betterment of the targeted community.Rapid development in the cloud environment, health care services are reasonable to the people in remote areas. It is necessary to predict the disease and connect with the doctor to get an early diagnosis of disease. The imperative goal of the paper is to develop a cloud-based framework using data mining to enhance healthcare in remote areas. The cloud-based framework is designed and simulated by using Matlab R2018b. Fast Search-Growing Self Classifier (FS-GS) data mining classifier is developed to separate the data from the cluster to correlate the symptoms of patients with specialists. The classifier parameters like accuracy, precision, recall, sensitivity, and specificity are analyzed to compare the efficiency of the proposed algorithm with the other data mining algorithms like Naive Bayes, Random Forest, K Nearest Neighbor, and Support Vector Machine Linear. The proposed FS-GS data mining Classifier obtains an accuracy of 92%, the precision of 90.01%, recall of 90.06%, the sensitivity of 94.91%, and specificity of 92.6%. For the effectiveness, the proposed algorithm is compared with the various mining data classification algorithms to showmance of the proposed algorithm. Ultimately, the result shows the proposed algorithm scores higher outputs than all other algorithms in real-time scenarios respectively.
Variance Reduction in Low Light Image Enhancement Model
Authors:   Computer science, SRM Institute of science and technology, Chennai, India., Deepika V. , Nivedha C. ,   Computer science, SRM Institute of science and technology, Chennai, India., P. S Sai Roshini. ,   Computer science, SRM Institute of science and technology, Chennai, India., Kumar Guide: S. Arun ,   Assistant Professor Department of Computer Science Engineering SRM Institute of Science & Technology Chennai, India.
Published: November 2020

In image processing, enhancement of images taken in low light is considered to be a tricky and intricate process, especially for the images captured at nighttime. It is because various factors of the image such as contrast, sharpness and color coordination should be handled simultaneously and effectively. To reduce the blurs or noises on the low-light images, many papers have contributed by proposing different techniques. One such technique addresses this problem using a pipeline neural network. Due to some irregularity in the working of the pipeline neural networks model [1], a hidden layer is added to the model which results in a decrease in irregularity.
Information and Digital Technologies in the Field of Ecology Environmental Protection and Biological Resources During the Pandemic
Authors:   Candidate of Legal Sciences Tashkent State University of Law, Associate Professor of Environmental Law Department., Khomamatovich Narzullaev Olim
Published: November 2020

The article presents suggestions and comments on the development of new legislation based on new definitions, improvement of regulatory legal acts and their analysis related to the use of biological resources for scientific purposes and ensuring biological safety. The author analyzes important issues that further develop the theory of environmental law in the field of protection and use of biological resources. On issues related to the use and protection of biological resources, analytical information will be provided on the establishment and effective functioning of scientific institutions, their legal status, biological threats and biological safety.It is argued that biosecurity is an important branch of national security. The role of the environment, the importance of international regulation of the use of genetically modified organisms (GMOs) and their by-products are studied , and a number of environmental legal recommendations related to the COVID-19 pandemic are proposed. The author analyzes digitalization in the field of ecology, As the system of environmental monitoring is an urgent problem that has not yet been solved in the world. Its functionality consists in the accumulation, systematization and analysis of information: about the state of the environment, the causes of changes in the state, the sources and factors of impact, for which the author offers his suggestions.
AI Technology and Biological Research Use in Cultural Practices
Authors:   Variety Art Department, Kyiv National University of Culture and Arts, 36, Konovaltsia, Kyiv, Ukraine., Sovhyra T.
Published: November 2020

The article is a comprehensive analysis of projects aimed at studying AI technologies and culture interaction. The author examines the specifics and uniqueness of art works created through AI-technologies using examples of projects from “Thought Works Arts Global Research”, “Innovation Laboratory of New Technologies”, “Isolation Foundation” and “IZONE Creative Association”. The article analyzes the principle of selection of materials, algorithmic analysis of data, the interdependence of digital data received from the user’s brain impulses with audiovisual content, the possibility of instant data processing in the process of creating an artistic product. The author explores the principles of tracking brain function and decoding human genetic data, which are used to create art projects. The article assesses the potential that AI possesses and explains the conditions necessary for the implementation of AI-technology in culture. As a result of the study, the author revealed that through algorithmic analysis it is possible to transform digital data into a system of expressive signs of visual and sound arts, to broadcast the received audiovisual content. The author finds out that through these technologies it is possible to create interactive art forms (interactive film, installations, immersive presentations, etc.)
An Enhanced Multiview Test Case Generation Technique for Object-oriented Software using Class and Activity Diagrams
Authors:   Department of Information Technology, Murang‟a University of Technology, Muranga, Kenya., Mburu James Maina , Muketha Geoffrey Muchiri ,   Department of Computer Science, Murang‟a University of Technology, Muranga, Kenya., Oirere Aaron Mogeni ,   Department of Computer Science, Murang‟a University of Technology, Muranga, Kenya.
Published: November 2020

Software testing is one of the vital steps in software development life cycle. Test case generation is the first process in software testing which takes a lot of time, cost and effort to build an effective product from the start. Automatic test case generation is the best way to address this issue and model-based test case generation approach would be suitable for this automation process. One way to generate test cases automatically is by generating test cases from Unified Modeling Language (UML) models. The challenge with the existing test case generation techniques using UML models is that they provide a single view, meaning that the techniques capture a single aspect of the system, such as structural or behavioral but not both. In this paper, we have successfully developed a technique that automatically generates test cases which capture both structural and behavioral views of the system. These test cases can help to discover software faults early in the software development cycle. Finally, we conducted an experiment by comparing our technique with a manual process. The results show that the proposed technique can produce same test cases as manually writing test cases of the same system model but this technique saves a lot of time, effort and cost as well.
Potato Leaf Disease Diagnosis and Detection System Based on Convolution Neural Network
Authors:   October University for Modern Sciences and Arts MSA., Mohamed Associate Prof. Samer I.
Published: November 2020

For decades, agriculture has been an essential food source. According to related statics, over 60% of the total earth population mainly depend on agriculture’s sources for their primary feed. Unfortunately, one of the disaster problems that affect badly on agriculture production is plant diseases. There are about 25% of agriculture production lost annually because of plant diseases. Late and Early Blight diseases are one of the most destructive diseases that infect potato crop. Although, the late and inaccurate detection of plant diseases increases the losing percentage for the crop. The main approach of our proposed system is to detect early the plant diseases to decrease the plant’s production losses by using a diagnosis and detection system based on the Convolution Neural Network (CNN). We used CNN to extract the diseases features from the input images of the supported training dataset for classification purposes. For model training, 1700 of potato leaf images were used, then the testing process is done by using approximately 300 images and 100 images for fine tuning and parameters calibration against any biased data. Our proposed CNN architecture archives 98.2% accuracy, which is higher compared with other approaches run on the same dataset.
Analysis of user Awareness for Saudi State Mobile Applications
Authors:   Computer Department, College of Sciences and Arts, Qassim University, Al-Rass, Saudi Arabia., Alturise Fahad , Albattah Waleed ,   Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia.
Published: November 2020

In this article, we analyze the perception of Saudi state application users about password selection from real-world data. A total of 1,082 participants provided information about their behavior on state applications. The study extracts useful information related to the users’ weak practices. The findings include useful information representing thousands of minds and individual behaviors in using state applications. As a contribution to the area, it is found that the state applications were developed properly regarding security practices. However, users still represent the weakest party, and they are not aware of the proper practices they should follow. Thus, extensive effort is required to be spent on user education. On the other hand, the diversity of state applications may represent an extra effort to users in the way that they have separate passwords for each application, which makes a unified login portal for all the state applications the appropriate solution.
Customer Segmentation and Buyer Targeting Approach
Authors:   Assistant Professor at Amity School of Engineering and Technology, Amity University Mumbai India., Jadhav Prof. Yogesh , Parasar Dr. Deepa ,   Associate Professor at Amity School of Engineering and Technology, Amity University Mumbai India.
Published: November 2020

Nowadays, maintaining customer loyalty and attention span of the customers are major challenges faced by the retail industry. The availability of varied options in the market for similar purposes increases the competition between organizations, to market their product, tremendously. This leads to the need for reinforcement of marketing strategies from time to time. With the advancement of technology, this can be made possible. This paper proposes a systematic approach for targeting customers and providing maximum profit to the organizations. An important initial step is to analyze the data of sales acquired from the purchase history and determine the parameters that have the maximum correlation. We focus on the parameters recency and frequency of the purchases made by the customers to perform clustering. Based on respective clusters, proper resources can be channeled towards profitable customers using machine learning algorithms. This paper also deals with the draw- backs of the recommender system like cold start problem, sparsity, etc and how they can be overcome. K-Means clustering is used for customer segmentation and Singular Value Decomposition is used for providing appropriate recommendations to the customers.
Conceptual Model of a Variable Cross-Section Brake Master Cylinder with Fuzzy Logic Controller
Authors:   School of Mechanical Engineering, Vellore Institute of Technology Chennai, Tamil Nadu, India., Bisht Vaibhav
Published: November 2020

A Master Cylinder installed with a servo motor to vary the cross-sectional area of a Plunger Assembly is discussed. The motor is autonomously operated using a Fuzzy Logic Controller which uses sensor input(s) to position its shaft and subsequently change the cross-sectional area of the Plunger Assembly. This intelligent system helps achieve sufficient brake force under the dynamic requirement. The body is made of Al 7075-T6 primarily due to its high strength-to-weight ratio. In light of the corrosive nature of brake fluid at certain values of its pH, electroless-nickel plating of the Master Cylinder part components is also discussed. Dynamic seals made of EPDM rubber have been used due to the constant relative motion between different moving parts.
Investigation on Durability Properties of Self Compacting Concrete with Mineral Admixtures
Authors:   Department of Civil Engineering, Kumaraguru College of Technology, Coimbatore, India., Manju R , Vaardini U Sindhu ,   Department of Civil Engineering, Kumaraguru College of Technology, Coimbatore, India.
Published: November 2020

Self-Compacting Concrete (SCC) or Self Consolidating Concrete is the present-day concrete that is being adopted the world over. The production of SCC involves the selection of appropriate materials and good quality control which is essential for the durability of concrete. The mineral admixtures and filler materials provide additional reduction to the porosity of the concrete. The primary objective of the present research work is to carry out the experimental investigations on durability properties of SCC with 20 different mix proportions, containing various percentages of filler materials like Limestone Powder (LP) and Marble Powder (MP), along with the mineral admixtures like Fly ash (F) and Silica Fume (SF). Experimental investigation on the durability properties for all the 20 mixes of SCC was carried out by conducting the Rapid Chloride Penetration Test (RCPT), Saturated Water Absorption Test, Acid Resistance Test, Sulphate Resistance Test, Water Permeability Test and Salt Water Resistance Test. From the experimental study, it is observed that the SCC mix with equal proportions F (10%), SF (10%), LP (10%) and MP (10%), exhibit better performance than the control mix in terms of strength and durability characteristics and thus it is concluded that the addition of mineral admixtures and filler materials have a pivotal role in the development of strength and durability aspects of SCC.
Muestreo de senos petrosos
Authors: Meléndez Negrette Fernando José , Escudero-Pineda Pablo Andrés , Díaz-Pacheco Carlos Alberto , Builes-Barrera Carlos Alfonso
Published: November 2020

Objetivos: analizar, evaluar y describir la utilidad del muestreo de senos petrosos para diagnóstico del síndrome de Cushing de origen central.

Material y métodos: se analizaron los aspectos técnicos y resultados del muestreo bilateral venoso de senos petrosos, desde el 1º de enero de 2012 a 31 de diciembre de 2018 en el Hospital Universitario San Vicente de Paúl en Medellín, Colombia.

Resultados: el promedio de edad fue 43.3 años con un rango de edad desde los 19 hasta los 69 años. La lateralidad pudo ser demostrada en 68.2% de los casos con una tendencia a la localización en el lado izquierdo en 53.3%. El origen central de producción de ACTH logró ser demostrado en 95.4% de los casos, con una relación central/periferia basal promedio de 21.7 y postestimulación de 70.8. Todas las muestras a los 3, 5 y 10 minutos fueron confirmatorias tras la estimulación.

Conclusión: en nuestro estudio retrospectivo el cateterismo de senos petrosos confirmó la fuente central de producción de ACTH por laboratorio en un alto porcentaje de pacientes sin ninguna complicación inmediata
“CORRELATION OF INTERARM BLOOD PRESSURE DIFFERENCE WITH TYPE 2 DIABETES MELLITUS”
Authors: Jadhao Anand , Naik Saumya , Bhonde Megha , Mishra Saurabh
Published: November 2020

In type 2 diabetes mellitus (DM-2), cardiovascular diseases are the important cause of mortality and morbidity. Regular monitoring of the diabetic condition is essential for the proper management of diabetes & effective controlling of diabetes-related complications. As the recording of IAD (Interarm blood pressure difference) is a simple procedure and it is also related to the vascular complication, it can be a vital indicator of the severity of diabetes. So, it is very important to study IAD concerning Complicated and Non-Complicated DM-2 which will be helpful for planning a better clinical management. In this cross-sectional study, we compare Interarm blood pressure difference in three groups i.e. Control, Non-Complicated DM-2 and Complicated DM-2 groups. There is a significant increase in systolic IAD in DM-2 group as compared to the control group, but no significant difference found between Non-Complicated and Complicated DM-2 groups.
Improving Global Public Health: Responsiveness to Public Interest Considerations in Intellectual Property Law
Authors: Barczewski Maciej , Sykuna Sebastian
Published: November 2020

Over the past few years the WTO Council for Trade-Related Aspects of Intellectual Property Rights recognized the growing concern over an imbalance between intellectual property and public interest. With regard to health technologies in particular, without sufficient use of balancing exceptions and limitations, patents and related monopoly rights primarily serve to protect corporate interests of the pharmaceutical industry. The broadest possible use of compulsory licenses is one of the essential measures that can contribute to increase in responsiveness to public interest considerations in defining the boundaries of the IP-related components that determine access to medicines. Another instrument is the process of interpretation and implementation of the Trade-Related Aspects of Intellectual Property Rights Agreement (TRIPS), which aims not only at clarifying the meaning of the provisions or determining the intentions of the parties to this treaty, but sets sights on reconciling its competing objectives. The need to interpret and implement the TRIPS Agreement in a way that protects public interest is confirmed by the obligation of acting “in a manner conducive to social and economic welfare” under Article 7 of the Agreement. Moreover, Article 8 allows to adopt “measures necessary to protect public health and nutrition, and to promote the public interest in sectors of vital importance to their socio-economic and technological development”. Therefore, in the context of the problem of access to medicines, the important role of human rights as an instrument for the prevention of abuse of intellectual property rights and the restoration of their balance, taking into account the interests of both the
beneficiaries of protection and the general public, should be emphasized.
Public Truths and Their Legal Protection
Authors: Klinowski Mateusz
Published: November 2020

In this paper I deal with two key concepts of a modern political theory, i.e. truth and public interest, and examine relationships between them. This subject seems particularly important in the context of the observed crisis of the liberal democracy and the spread of misinformation and fake news. I argue that there is a need to create a public system of protection designed to defend the logical status of those statements which have a value for the society. By using the notion of public interest as a tool for analysis, I demonstrate how such a system might be structured. I suggest employing existing public institutions to construct a system of public protection of the truth, yet supplemented by a coordinating body based on the ombudsman model.
PENGARUH PEMBERIAN KOMBINASI EKSTRAK BUAH MENGKUDU (Morinda citrifolia L.) DAN KUNYIT (Curcuma longa) TERHADAP HISTOPATOLOGI GINJAL TIKUS WISTAR YANG DIINDUKSI ALLOXAN
Authors:   Bagian Epidemiologi dan Penyakit Tropik, Fakultas Kesehatan Masyarakat, Universitas Diponegoro, Rahayu Pelastri , Hestiningsih Retno , Martini Martini , Sutiningsih Dwi ,   Universitas Diponegoro
Published: November 2020

The prevalence of DM in Riskesdas in 2018 according to the Perkeni consensus in 2015 is higher than according to the Perkeni consensus in 2011, the prevalence was10.9%. The disease can develop into diabetes nephropathy, Increased prevalence of diabetic nephropathy directly proportional with an increase in diabetes prevalence. Diabetic nephropathy is a microvascular complication in diabetics that develops around 30% in patients with type I DM and about 40% in patients with type II DM. Turmeric extract has antioxidant and anti-inflammatory effects to prevent the bad development of diabetes nephropathy. This study looked at the effect of giving a combination of noni and turmeric extract on histopathology of alloxan-induced renal rats. A total of 25 mice were divided into 5 treatment groups, namely the PI group (250 mg / kgBB extract dose), PII group (500 mg / kgBB extract dose), PIII group (750 mg / kgBB extract dose), positive control group (glibenklamid) and negative control group (without extract and glibenklamid). The study used Post Test Only Group. The highest percentage decrease in blood glucose in the PI group was 56.11% and the lowest decrease in the PIII group was 24.12% with p = 0.012. The results of the study were not based on the number of extract doses. The measurement results of rat body weight and glomerular diameter were not affected by blood glucose level with p = 0.700 for body weight and p = 0.187 for glomerular measurement results.
Activity of Kefir grains against Gardnerella vaginalis
Authors: Afifi Salwa , El-Sharif Amany , Helal Zeinab , El-Musallamy Eman
Published: November 2020

Kefir is a probiotic mixture of bacteria and yeasts. In vitro and animal trials have shown kefir to have antibacterial, antifungal and antiviral activity. The main goal of this study was to determine the antimicrobial susceptibility of Gardnerella vaginalis (G.vaginalis) to kefir. Antimicrobial agents, which were commonly used to treat bacterial vaginosis, and kefir were both tested for antimicrobial activities against G.vaginalis using an agar diffusion method. Kefir was able to inhibit the growth of G.vaginalis. Kefir found to have antimicrobial activity similar to ampicillin, chloramphenicol, ceftriaxone, erythromycin and gentamicin against G.vaginalis isolates. Kefir produced zone of inhibition sizes higher than the zones produced by ciprofloxacin, sulphamethoxazole /trimethoprim and tetracycline. Special attention must be paid to kefir as its activity against G. vaginalis recommends that it deserves assessment in the treatment of infections involving G. vaginalis.
Development of an Efficient Processing System for Young Coconut Husk
Authors: Mat Jusoh Mohd Shahmihaizan , Wan Ahamad Wan Mohd Aznan , Nordin Mohd Nadzim , Hamid Md Akhir , Govindasamy Sentoor Kumeran , Mat Zawayi , Abdul Rahman Norahsheikin
Published: November 2020

A processing system for young coconut husk was developed to cater abandoned young coconut husk in the coconut industry. This was a new invention as an alternative to the current old coconut husk extractor in the coconut industry. There were several machines developed; 1) chopping machine, 2) young coconut husk extractor, 3) conveyor system, and 4) rotary screener. This processing system was introduced to ensure the abandoned young coconut husk can be extracted into fiber and cocopeat. The evaluation results showed that the average machine capacity of the young coconut husk extractor was 350.79 kg/hour with the average weight ratio of unfiltered cocopeat and fiber produced at 70 % and 30 % respectively. The assessment of quality for fiber and cocopeat was done by using rotary screener that equipped with 16 mesh nets. The result of cocopeat was 2.8 % in the extracted fiber after extraction and filtration. Based on the analysis, cost of operation was RM 3.80/hr or equal to RM 668.70/month for the entire processing system. Total monthly income for machines owner was RM52,923.30 and the ROI was 88.21%. The results showed that the processing system was able to process the abandoned young coconut husk into fiber and cocopeat. Performance evaluation of each machine should be carried out in the future research to identify machines efficiency and durability.