bluuebunny/crossref_metadata_2025 huggingface dataset:
The Strategies of the Poverty-Alleviation Supply Chain with Government Subsidies and Cost Sharing: Government-Led or Market-Oriented?
Authors: Kang Kai , Luan Xinfeng , Shen Wenjing , Ma Yanfang , Wei Xuguang
Published: May 2020

Alleviating poverty is a critical problem in many developing countries such as China. In this paper, we consider a poverty-alleviation supply chain composed of one supplier in a poor area and one producer helping the supplier reduce poverty by fulfilling Corporate Social Responsibility (CSR). Our work aims at examining the impacts of government subsidies and Corporate Social Responsibility (CSR) on the poverty-alleviation operations. Four game-theoretic models are constructed and analyzed to investigate the impacts of coefficients of government subsidies and CSR cost sharing on the supplier’s and producer’s profits, social welfare growth, CSR level, wholesale price, output of the supplier, and retail price. Our findings suggest that the most effective poverty-alleviation mechanism in most cases is the combination of government subsidies and market efforts. Contrary to common beliefs that companies have to sacrifice profit for social responsibility, we show that poverty alleviation is reconcilable with profit maximization and social welfare improvement, and companies can achieve a win-win situation of both poverty alleviation and profitability. Our work provides new insights for sustainable poverty alleviation and socially sustainable operations.
Transformative Policies for the Social and Solidarity Economy: The New Generation of Public Policies Fostering the Social Economy in Order to Achieve Sustainable Development Goals. The European and Spanish Cases
Authors: Chaves-Avila Rafael , Gallego-Bono Juan Ramon
Published: May 2020

The United Nations Agenda 2030 has recognized that Social Economy (SE) entities play an important role in achieving the Sustainable Development Goals (SDG). In order to maximize the impact of the SE, governments have recently deployed new policies regarding these entities. The objective is to understand the context of policy change that has allowed these policies to emerge, their main characteristics and the critical factors in their construction and implementation. Successful policy cases in Europe and Spain have been studied. Qualitative data have been collected through key policy documents, experts, and focus groups. As a main finding, the study shows that this new model of policies exhibits the following features: it focuses on transformative change, follows the public-community partnership governance approach and the mainstream approach in the sense of a broader policy context, and finally, it is innovative in terms of means and of complex systematization of strategies. Difficulties in the implementation of the partnership approach, in the deployment of the policy-mainstreaming approach, and in the acceptance of the SE framed by all policymakers, SE representatives, and government staff, and constraints in financial endowment are the main critical factors in the implementation of these policies.
Challenge Based Learning: Innovative Pedagogy for Sustainability through e-Learning in Higher Education
Authors: Portuguez Castro May , Gómez Zermeño Marcela Georgina
Published: May 2020

Challenge-Based Learning (CBL) is an innovative teaching methodology that engages students to resolve real-world challenges while applying the knowledge they acquired during their professional training. This article describes the results of the implementation of an online course on entrepreneurship that utilized CBL with a group of 20 undergraduate students from various disciplines in a university in Mexico. During the course, challenges related to the Sustainable Development Goals of the United Nations were presented to the participants, making it possible to observe the students’ interest in resolving these problems. This research uses a case study methodology and seeks to determine the CBL elements in the e-learning modality. The results showed that the participants generated sustainable business ideas aimed to resolve local, national, and global problems. The recommendations are to continue the formation of the businesses proposed in the project. These ideas can become real ventures that connect various actors in the entrepreneurial ecosystem and will continue to strengthen transversal skills such as teamwork and communication.
Developing a Competitive and Sustainable Destination of the Future: Clusters and Predictors of Successful National-Level Destination Governance across Destination Life-Cycle
Authors: Paunović Ivan , Dressler Marc , Mamula Nikolić Tatjana , Popović Pantić Sanja
Published: May 2020

This study advances the research and methodological approach to measuring and understanding national-level destination competitiveness, sustainability and governance, by creating a model that could be of use for both developing and developed destinations. The study gives a detailed overview of the research field of measuring destination competitiveness and sustainability. It also identifies major predictors of destination competitiveness and sustainability and thereby presents destination researchers and practitioners with a useful list of priority areas, both from a global perspective and from the perspective of other similar destinations. Finally, the study identifies two major types of destination governance with implications for research, policy and practice across the destination life-cycle. The research deals with the analysis of the secondary data from the World Economic Forum Travel and Tourism Index (WEF T&T). Major types of destination governance and predictors of belonging to either one of the types, as well as inside cluster predictors have been extracted through a two-step cluster analysis. The results support the notion that a meaningful model of national-level destination governance needs to take into account different development levels of different destinations. The main limitation of the study is its typology creation approach, as it inevitably leads to simplifications.
Performance Analysis of an Integrated Solar Dehumidification System with HVAC in A Typical Corner Store in the USA
Authors: Almehmadi Fahad A. , Hallinan Kevin P.
Published: May 2020

Food deserts have emerged in underserved urban and rural areas throughout the United States. Corner markets have filled the food voids, but generally without offering residents access to healthy food. The economics for doing so are prohibitive. The purpose of the study is to investigate an opportunity for reducing corner store energy costs in order to make possible retail of fresh produce and meat. Given the typical dominance of refrigeration to the energy cost in such stores, an integrated solar dehumidification system with heating, ventilation, and air conditioning (HVAC) is considered. A typical corner store baseline reliant upon conventional refrigeration and HVAC equipment is defined to serve as a basis for comparison. MATLAB Simulink dynamic models are developed for the posed system and baseline model. The results show energy reduction in the refrigerated cabinets of maximally 28%, 27%, and 20%, respectively, in Dayton, OH, Phoenix, AZ, and Pine Bluff, AR. The respective HVAC energy savings are respectively 28%, 56%, and 4%. Collectively these correspond to total annual energy savings of 43%, 51%, and 53%, translating to annual energy cost savings of greater than $12K in all locations.
Three Propositions to Unify Circular Economy Research: A Review
Authors: Borrello Massimiliano , Pascucci Stefano , Cembalo Luigi
Published: May 2020

Transitioning into a circular economy (CE) has been recently proposed as an agenda for reconciling global industrial systems with natural equilibria, but the current understanding of CE is ambiguous among scholars. Informed by recent growing CE literature, this study summarizes through three key propositions a set of indisputable insights emerging from the CE debate. In particular, the paper: remarks how CE takes stock of concepts of other schools of thought to drive policy interventions; depicts CE as a systemic transition of global industrial systems; and highlights the role of eco-effectiveness to upgrade business-centered approaches to sustainability. The proposed propositions are expected to contribute to reducing ambiguities in the CE debate and to convey coherence to future research.
Online Place Branding: Is Geography ‘Destiny’ in a ‘Space of Flows’ World?
Authors: Briciu Victor-Alexandru , Rezeanu Cătălina-Ionela , Briciu Arabela
Published: May 2020

Places have been promoting their attractions throughout history for almost a century now and place marketing started capturing the attention of economic researchers in the early 1990s. Although the globalized space has become a major interdisciplinary field of study in the past few decades, we still do not have a definite solution for measuring or predicting the changes it brings. The aim of this study is to propose an instrument to help scholars quantify the Web 1.0 and Web 2.0 components of the online presence of place brands and their spatial dynamics in a broader global context. By taking the ‘space of flows’ approach to frame globalization, we questioned whether geography is still destiny in the context of online place branding communication. To answer the question, we developed a category grid and applied it in the content analysis of 82 official country websites. We found that geographical position is still important in conditioning the adoption of Web 1.0, and does not make a significant difference in the adoption of Web 2.0. However, the strongest predictors of the adoption of Web 1.0 are not the ones related to geography, but to socio-economic inequality. It is therefore possible for the theorizations of the advantages of the ‘space of flows’ globalization to be suitable only for Web 2.0, Web 1.0 still being under the influence of the ‘space of place’. We discussed the implications of adopting the network society theory in place branding communication in order to nuance the understanding of the transitions from Web 1.0 to Web 2.0 and from Web 2.0 to Web 3.0 in place marketing.
Influence of the Enhanced Recovery After Surgery Protocol on Postoperative Inflammation and Short-term Postoperative Surgical Outcomes After Colorectal Cancer Surgery
Authors: Jaloun Heba  Essam , Lee In Kyu , Kim Min Ki , Sung Na Young , Turkistania Suhail Abdullah Al , Park Sun Min , Won Dae Youn , Hong Sang Hyun , Kye Bong-Hyeon , Lee Yoon Suk , Jeon Hae Myung
Published: May 2020

Purpose: Many studies have shown that the enhanced recovery after surgery (ERAS) protocols improve postoperative surgical outcomes. The purpose of this study was to observe the effects on postoperative inflammatory markers and to explore the effects of a high degree of compliance and the use of epidural anesthesia on inflammation and surgical outcomes.Methods: Four hundred patients underwent colorectal cancer surgery at 2 hospitals during 2 different periods, namely, from January 2006 to December 2009 and from January 2017 to July 2017. Data related to the patient’s clinicopathological features, inflammatory markers, percentage of compliance with elements of the ERAS protocol, and use of epidural anesthesia were collected from a prospectively maintained database.Results: The complication rate and the length of hospital stay (LOS) were less in the ERAS group than in the conventional group (P = 0.005 and P ≤ 0.001, respectively). The postoperative white blood cell count and the duration required for leukocytes to normalize were reduced in patients following the ERAS protocol (P ≤ 0.001). Other inflammatory markers, such as lymphocyte count (P = 0.008), neutrophil/lymphocyte ratio (P = 0.032), and C-reactive protein level (P ≤ 0.001), were lower in the ERAS protocol group. High compliance ( ≥ 70%) was strongly associated with the complication rate and the LOS (P = 0.008 and P ≤ 0.001, respectively).Conclusion: ERAS protocols decrease early postoperative inflammation and improves short-term postoperative recovery outcomes such as complication rate and the LOS. High compliance ( ≥ 70%) with the ERAS protocol elements accelerates the positive effects of ERAS on surgical outcomes; however, the effect on inflammation was very small.
Endorectal Advancement Flap With Muscular Plication in Anovaginal and Anterior Perineal Fistulas
Authors: Egal Axel , Etienney Isabelle , Atienza Patrick
Published: May 2020

Purpose: Endorectal mucosal advancement flap with muscular plication can ensure complete closure of anovaginal fistulas and preserve continence. The aim of this retrospective study was to show indications might be broadened to include anoperineal fistulas.Methods: This retrospective study gathered all available data from patients with anovaginal or anterior perineal fistulas who underwent transanal advancement flap repair with muscular plication. A loose seton was passed in the fistula track prior to surgery in all patients. Fistula healing was defined as fistula closure during proctological examination associated with complete resolution of symptoms. Results: Thirty-five patients were included from January 2011 to March 2017. Causes of fistula were various, mostly post-operative (34.3%, n = 12), obstetrical (17.1%, n = 6) and inflammatory (14.3%, n = 5). Success rate was 65.2%. Fistula healing was obtained in 60.0% of patients with Crohn disease in remission. Closure rate was higher in anterior perineal fistulas (89.0%) than in anovaginal fistulas (63.6%) even if it did not reach statistical significance. Slight fecal continence disorders were noted in 2 women (5.7%).Conclusion: This study demonstrates the efficacy of transanal advancement flap repair with muscular plication for anovaginal and anterior perineal fistulas. Similar closure rates and smaller postoperative incontinence rates compared to the classical technique make this surgery an optimal solution whose efficacy appears to be sustainable over time.
High Compliance With Surgical Site Infection (SSI) Prevention Bundle Reduces Incisional SSI After Colorectal Surgery
Authors: Lohsiriwat Varut
Published: May 2020

Purpose: This study aimed to evaluate association between compliance with surgical site infection (SSI) prevention bundle and the development of superficial or deep incisional SSI following colorectal surgery and to evaluate the impact of incisional SSI on surgical outcomes. Methods: A prospectively collected database of consecutive patients undergoing elective colectomy and/or proctectomy from 2011 to 2019 in a university hospital was reviewed. The association between compliance with Thailand’s SSI Prevention Bundle (10 level-1A interventions) and the incidence of incisional SSI was determined. Surgical outcomes were compared between those with incisional SSI and those without. Results: This study included 600 patients with a median age of 64 years (range, 18–102 years). Some 126 patients (21.0%) had stoma formation and 52 (8.7%) underwent laparoscopy. The incidence of incisional SSI was 5.5% (n = 33; 32 superficial incisional SSI and 1 deep incisional SSI). Higher compliance with care bundle tended to decrease incisional SSI (P = 0.20). In multivariate analysis, compliance of 70% or more was the only dependent factor for reducing incisional SSI (odds ratio, 0.39; 95% confidence interval, 0.15 to 0.99; P = 0.047). None of individual interventions were significantly associated with a lower probability of incisional SSI. Compared with counterparts, patients with incisional SSI had a 2-day longer length of postoperative stay (6 day vs. 4 day, P < 0.001) but comparable time for gastrointestinal recovery and similar rate of 30-day mortality or readmission. Conclusion: High compliance with SSI prevention bundle (especially ≥ 70%) reduced incisional SSI after colorectal surgery.
An Analysis of Desirable Attributes for Strength and Conditioning Coaches as Perceived by Male and Female Population of Collegiate Athletes
Authors: Tiberi Severiano , Moody Jeremy
Published: May 2020

The present study aimed to suggest desirable attributes and characteristics for strength and conditioning coaches as perceived by the male and female population of collegiate athletes and statistically evaluate differences of perception between genders. Participants were 99 NCAA division I student-athletes (Male=56, Female=43) aged between 18-22 years of age, with a mean of 2.98 S&C sessions per week. Participants completed an electronic questionnaire to rank the importance of 17 research-based attributes through a 5-point Likert-type-scale. Descriptive statistics revealed that overall, “knowledgeable” and “communicative” were considered the most important attributes, whereas “overall size/muscularity” and “male gender” were the least desirable. With regards to perceived importance, attributes were ranked in the following order: knowledgeable, communicative, motivator, trustworthy, give positive feedback, approachable, organised, supportive, positive, honest, confident, role model, intense, physical fitness, sense of humour, overall size/muscularity, male gender. “Male gender” as an attribute was identified as the only significant difference in perception between genders (p = .017). The observed results are consistent with previous research that highlighted how several attributes and characteristics are important for strength and conditioning coaches. Thus, these results might foster reflection and guide personal and professional development of strength and conditioning coaches.
Developing inclusive school centres in Esmeraldas, Ecuador
Authors: González Berruga Manuel Ángel
Published: May 2020

To originate inclusive schools is a current challenge in Ecuador. Many students drop out in secondary education. It is necessary to answer this problem developing projects within schools in order to change the culture, politics and practices of students, teachers and families. In this paper is presented the first part of a project which seek to improve inclusive processes and relationships in a school situated in a deprived context in Esmeraldas, Ecuador. Firstly, it is shown a brief introduction about the inclusion in Ecuador and about the benefits of the inclusion. Then, it is presented the materials and methods of the research. In a third paragraph, it can be observed the results which lead to the discussion in the last paragraph.
As revistas médico-científicas da Bahia (172 anos de história)
Authors: Varón Cadena Nelson
Published: May 2020

Este artigo destaca a importância da Gazeta Médica da Bahia, a mais influente revista médico--científica no seu tempo pela sua contribuição para a literatura médica mundial sobre as doenças tropicais, através do relato de casos e observações experimentais. Destaca ainda os seus fundadores, quatro deles médicos do Hospital da Caridade da Santa Casa de Misericórdia e ainda seus principais redatores, a maioria também contratados da Santa Casa. A Gazeta Médica foi a mais importante revista científica da Bahia, inclusive no aspecto gráfico, com uso da técnica de litografia, mas não a pioneira. Outras publicações a antecederam entre as várias revistas do gênero editadas no estado, inclusive revistas divulgadoras da homeopatia, medicina legal e odontologia. Este artigo é o primeiro na historiografia baiana a registrar e destacar estas publicações.
Perception and Behavioral Changes of Thai Youths Towards the Plastic Bag Charging Program
Authors: Vassanadumrongdee Sujitra , Hoontrakool Dawisa , Marks Danny
Published: May 2020

Thailand has one of the highest usage of plastic bags globally, with over 45,000 million plastic carrier bags used annually. Because of its high plastic consumption and mismanagement of plastic waste, Thailand was ranked sixth globally in terms of its contribution to marine plastic pollution in 2015. While many countries have introduced plastic bag charges or taxes to reduce consumption, the Thai government is reluctant to do likewise due to political concerns about whether the public will accept this. This study presents findings on perception and acceptance level of university students towards plastic bag charging program in their campuses. We investigated the factors influencing intention and behavior and changes in students’ attitude from 2017–2019. Results show that students’ reusable/cloth bags use behavior and charge acceptance have increased over time. Testing is based on the Theory of Planned Behavior. We find that the factor which most influences consumers’ intention is perceived behavior control, which itself is determined by waste impact knowledge level and the perceived convenience of carrying reusable bag. In addition, the finding show that charging schemes are effective in breaking the habit of using plastic which will lead to a sustained change in behavior. Hence, policymakers should move implement plastic bag charging regulations in Thailand.
Leaf Disease Detection Based on Local Gabor Binary Pattern Histogram Sequence and Neural Network
Authors:   Department of Computer Science, SMVHD Central Institute of Home Science, Bengaluru, India., HS* Nagamani , Devi H. Dr.Saroja ,   Department of Computer Science & Engineering, Nitte Meenakshi Institute of Technology, Bengaluru, India.
Published: May 2020

Agriculture forms the main source of food in India, especially in the southern area. The economy of India directly depends on agriculture plants. But due to some major diseases such as blast, brown spot, and bacterial blight, there is a reduction in plant growth which greatly affects agricultural productivity. The farmers add irrelevant pesticides with their limited knowledge which will degrade the quality of the crop but also degrade the soil quality. In the proposed method Machine Vision techniques based on neural networks are used to detect plant health or diseases indicated by leaf anomaly. Image processing algorithms such as K means clustering is used to segment affected areas. From the segmented images of the plant leaf, features are extracted using Color Coherence Vector (CCV) and Local Gabor Binary Pattern Histogram Sequence (LGBPHS). The extracted features are fed as input to a backpropagation neural network to classify the unhealthy leaf.
Mechanisms of Improving Processes for Developing the Reflective Skills of Students
Authors:   Professor, Doctor of pedagogical sciences, Chartak district of Namangan, Uzbekistan., Turgunov* Sobitkhon , Khakimova Dildora ,   PhD in pedagogics, Hakkulabad, Naryn district, Namangan region of Uzbekistan .
Published: May 2020

In this article, the authors sought to consistently introduce secondary school students to the truths of the past (history) and express scientific thoughts about the development of reflective skills based on the development of objective thinking within History classes. The results of the survey are also described in order to ensure the effectiveness of the research.
Recent Advancement in the Memristor Memory Development
Authors:   Pursuing Ph.D., Jain University, JGI Global Campus, Bengaluru, Karnataka, India., K. I* Ravikumar , R Sukumar ,   Professor and Head of ECE , Jain University College of Engineering & Technology, JGI Global Campus, Bangalore, India
Published: May 2020

Meritor is a newly-created tool and because of its nanometer scale and different electrical properties it has received much interest from advanced electronics designers since it was discovered. The memory capacity of a memrist is one of the most significant features. In this paper, about 50 papers on designing of memristor, optimization rules for reducing power, area for storing the data into memristor and implemented the full adders using memristor using the Pspice simulator. The paper ultimately addresses the complex study lapses and obstacles in constructing the memorial that will enable scholars and thinkers lead to more analysis.
A New Method for Software Projects for Predicting Defects using LSTM and SVM
Authors:   C.S(C.S.E), SSVIT, Bareilly, India., Sharma* Swapnil
Published: May 2020

The most hardest situation to most software developers is determining where bugs are in applications. Finding them and repairing defects is expected to cost billions of pounds per year, and any automated assistance in accurately identifying where faults are, and concentrating tester efforts , would have a huge effect on software development and maintenance costs. So Work on defect detection has been going on for several years using regression methods and, lately, ML algos. To determine where there are defects therefore every organization’s main priority is to detect and fix faults in the early stages of the SDLC. This research has provided some insight into where flaws can be identified, but clinicians do not appear to have taken that on board. One explanation for this may be due to the difficulty in choosing and constructing predictive defect models. In the paper we actually analyze the reasons why the standard of the prediction is so varying due to the altering nature of the process of repairing defect. It primarily comprises two stages in the proposed system: a model development stage, and a prediction stage. In the model development our aim is to create a classifier with proven labels (i.e., broken or clean) by using deep learning and ML techniques from past improvements. This classifier would be used in the predictive stage to determine whether an uncertain shift were to be buggy or safe. Next, our Architecture derives a range of functions from a training package. Next, we do preprocessing of data on the characteristics obtained. Preprocessing of the data involves two counter-steps: normalization of the data and re-sampling. In normalization, we turn the values of all featured to values in the interval from 0 to 1. A deep learning technique such as LSTM & SVM is used. In the prediction stage, the classifier is then used to predict whether a change with an unfamiliar label is buggy or safe(clean). We will evaluate on four datasets from four well-known Open source software, including Mozilla, Eclipse, Net beans and Open Office programs.
Anomaly Detection using Machine Learning: A Rule Based Classification and Ordered Regression Tree with Real Time Datasets
Authors:   Lecturer, Dept. of Technical Education ,Government of Telangana State and Research Scholar, JNTU University Hyderabad, India, Reddy* Jidiga Goverdhan , Porika Sammulal ,   Professor, Dept. computer engineering, JNTUH Nachupally, Jagitial, Affiliated to JNTU University, Hyderabad, TS State, India
Published: May 2020

What we use the protection of system data and user credentials is still very dispensable presently in factual applications frequently used by common people. Also losing their assets and confidence level due to lack of knowledge about usage of applications and failure to grab the abnormal behavior. How system data and user credentials are helpful to creating clone by others causes of showing anomalous behavior and don’t know to protect from the anomalies and how it is avoid. In this paper we are presenting short-lived discussion on anomaly detection and its nature of impact showing on original true datasets related to daily land transactions, medical and social networking. This paper shows the significant usage of machine learning approach applied in anomaly detection to know the fact anomalies in various datasets took from different sources. Here we are using an updated CART called Rule based Classification and Ordered Regression Tree (RBT-ORT). This method is new one with combination of Decision Tree; Rules of Random Tree giving a new adorned rule sets in classification and regression to ensure the improvement in results compare to other techniques. Our work carried out on three datasets, two are taken from UCI repository for machine learning and other one is real and original dataset Land sale data pertaining to land transactions noted in the year 2016-18. Finally the results of anomaly detection using Classification and Ordered Regression Tree compare with other machine learning methods such as ID3, C4.5, C-RT, PLSDA, CHAID, C4.5 Rule, I (Improved) - C4.5, K-Nearest neighbor and Neural Networks.
Mathametical Modelling of Full Adder using Carbon Nanorods
Authors:   Assistant Professor, Chaitanya Bharathi Institute of Technology-Hyderabad, Kumar* Krishna , Deepika D. ,   Assistant Professor, Mahatma Gandhi Institute of Technology-Hyderabad
Published: May 2020

Nanomechanical computational systems proposed by K.Drexler is one of the approaches to molecular scale electronic circuits for memory and logic applications. The nanomechanical rod logic proposed is distinguished by its small size and very low energy dissipation, compared to transistors. it has been found from the sources available to us, that presently the idea was highly unexplored and still remains in its nascent stages This paper presents the use of nanorods as variant to the existing silicon technology for the design of a full adder circuit along with the speed, power and energy dissipation characteristics. The full adder circuit is then extended to an n-bit adder (which forms the basis of an ALU circuit). The paper also addresses the use of parallel architectures to overcome the limitations of switching speeds.
Supervised Classification of Satellite Image Processing using Neural Networks
Authors:   M.Tech, ECE department, Asst. professor of Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India., Srilatha* K. , Sri M. Udaya ,   ECE department, Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India., Lakshmi G. Udaya ,   ECE department, Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India., Vineela M.G. ,   ECE department, Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India, Varapriya G. ,   ECE department, Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India., Suneetha CH. ,   ECE department, Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India.
Published: May 2020

Now a day’s satellite image processing plays a major role. By using remote sensing technique, we can classify the satellite images like LISS (Linear image self-scanner), LANDSAT satellite image by using ERDAS imagine software. By using ERDAS imagine software, the classification of an satellite images will take more time. Rather than ERDAS imagine software we can use NEURAL NETWORKS in MATLAB software for classifying the satellite images by using the corresponding code with respect to the image by simply changing the file name. This paper includes the method like supervised and classification by using ERDAS imagine software and MATLAB code. The aim of this projects is to realize the image classification using NEURAL NETWORKS.
Influence of Cyber Security on Social Networks
Authors:   Department of Computer Application, TN.D.A.L.U, India, Varalakshmi* Dr. R.
Published: May 2020

In the 21st century, Media technology plays a vital role in every individual’s life. The world of electronic media, found an exponential growth. Presently the media world is filled with gadgets includes TV, mobile phones, emails, egames, interactive internet games, virtual reality games, iPods, instant messenger, esports, social networks etc.. This makes the physical world smaller in today’s days and helps in effective communication ranging from text messaging, multimedia message, video conferencing, virtual meetings and so on. As of today, social networks including Facebook, Twitter, Wordpress, Whatsapp, LinkedIn, Blogger, Google, Pinterest, and Wikipedia etc. has become the most powerful sources for sharing information and news updates. In addition, the cost of smartphones and internet data are reducing which makes easy penetration of this technology among people. Apart from the entertainment, the social networks created new business opportunities, sales promotions, marketing research, and customer relationship development etc. In this paper, the impact of social networks in family relationships is presented.
Designing a Website for Visually Challenged Persons
Authors:   Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India., S Hemalatha. , S* Pranesh ,   Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India., P Kanagasabapathy ,   Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India., R Nirmal Kumar ,   Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
Published: May 2020

In recent times it has become necessary for any business to have an online platform to remain relevant and competitive. Because of this necessity, many businesses including small enterprises now operate an e-commerce web store to increase sales and attract new customers. Moreover, entrepreneurs don't need to stress over finding a spot to raise their stores and clients can have unhindered access to a wide scope of items whenever they need and at anyplace on the planet. The online stores or ecommerce websites are very useful to the people who have difficulty in accessing the outside world. While these websites are useful for other physically challenged people, most of the websites are not designed to be usable by visually impaired, partially blind or even color-blind people. The different types of blindness are surveyed in this paper and the paper proposes a framework that uses various techniques to aid the visually challenged, partially impaired person or color-blind people. An online food ordering website is developed using the framework and is tested by making the website available for use for visually blind, partially blind and color blind. The test results show that the framework had increased the usability of the website by them.
Internet Technology Exposure, Social Intercourse Patterns, and Student Characters
Authors:   Institut Agama Islam Darussalam (IAID), Ciamis, Indonesia., Husni* Husni , Azis Abdul ,   Institut Agama Islam Darussalam (IAID), Ciamis, Indonesia., Rizal Soni Samsu ,   Institut Agama Islam Darussalam (IAID), Ciamis, Indonesia., Tantowie Tanto Aljauharie ,   Institut Agama Islam Darussalam (IAID), Ciamis, Indonesia., Munandar Didih Syakir ,   Institut Agama Islam Darussalam (IAID), Ciamis, Indonesia.
Published: May 2020

This study aims to determine the effect of internet technology on student characters, as well as the influence of social intercourse patterns on their characters. The study used a survey method of 77 students at a religious school in Cilacap, Indonesia. Data were collected using questionnaires, interviews, and observation techniques. The results showed; First, exposure to internet technology has a negative effect on student character. The higher internet technology exposure, the worse students character. This is indicated by the correlation coefficient of -0.507 and is significant at the significance level of 0.05. Second, the social intercourse pattern affects the character of students. The tighter of social intercourse pattern, the better the character of students, conversely the more free the students' social intercourse, the worse their character. This conclusion is obtained from the correlation coefficient of 0.737 and is significant at the significance level of 0.05. Third, exposure to internet technology and social intercourse patterns simultaneously have a significant effect on student character. This conclusion is obtained from the multiple correlation coefficient of 0.752, which is significant at the 0.05 level.
Pharmacological studies of Pediococcus on performance and some hematological and biochemical parameters in cattle
Authors: El-Sayed Gehad , El-Diasty Mohamed , Zayed Shaimaa
Published: May 2020

The use of Pediococcus (23×106 CFU/calf/day) orally in drinking milk once daily for one month in Holstein calves have highly significant effect on blood picture ,liver function tests, kidney function test ,blood electrolytes and body weight in cow calves. There were a significant increase in total erythrocytes count , hemoglobin content, packed cell volume, mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, thrombocyte count, total leucocytes count, neutrophils counts, eosinophil, basophils, total protein and its fractions, level of alkaline phosphatase (ALP),level of sodium ,calcium ,phosphorus and body weight . On the other hand there were significant decrease in urea and potassium level in groups treated by Pediococcus compared to the control groups. Moreover there were a non-significant changes in lymphocytes, monocytes, creatinine, alanine transaminase (ALT), aspartate transaminase (AST), in the same groups compared to the control groups.
Prevalence of Subclinical Mastitis in some Dairy Cattle Farms in Kuwait
Authors: AbdelKhalek A , El-sherbini M , Alanzi S
Published: May 2020

A survey to prevalence of subclincal mastitis (SCM) in some dairy cattle farms in state of Kuwait was carried out. 200 quarter milk samples from apparently healthy dairy cows. 200 quarter milk samples from apparently healthy dairy cows at Kuwait were investigated for subclinical mastitis using California mastitis test (CMT), Somatic cell count (SCC) and bacteriological isolation. The results revealed that the prevalence of subclinical mastitis was 45 % and bacterial culture was positive in 37.5%. SCC was assessed in 200 milk samples, the minimum and maximum SCC was 0.12 x 105 cell/ ml and 4.75 x 105 cell/ ml with the mean of 1.7±18.11 x 105 cell/ ml. The cultural examinations to determine subclinical mastitis causative agents revealed that the isolated bacterial strains in examined milk samples of cows were Staphyloccocus aureus, Streptococcus agalactia, E. coli and Pseudomanas aeruginosa with distribution of 37.6%, 20.5%, 19.4% and 3.2%, respectively as single infection from total 93 isolated bacterial strains. Meantime, there were mixed infection of (Staphyloccocus aureus + E. coli); (Streptococcus agalactia + E. coli) and (Staphyloccocus aureus + Pseudomanas aeruginosa) with the recovery rates of distribution of 8.6%, 9.7%, and 1%, respectively. Antibiogram profile of some representative field strains of Staphyloccocus aureus, Streptococcus agalactia, E. col and Pseudomanas aeruginosa isolated from subclinical mastitis cases to 11 different antibiotics. It revealed that all Staphyloccocus aureus, Streptococcus agalactia E. coli and Pseudomanas aeruginosa isolates were highly sensitive to enrofloxacillin, and Cloxacillin. However, it showed variable sensitivity degrees to other tested antibiotics. It could be concluded that subclinical mastitis constitutes a major economic and healthy problem for dairy herd in Kuwait.
Pharmacokinetic studies on Sulfamonomethoxine in rabbits
Authors: Amer M , Elsayed M , Kazawaki S , Fathy W , El-Ashry Eman
Published: May 2020

The present study was performed to determine the pharmacokinetics of sulfamonomethoxine (20mg/kg) in 5 rabbits after its oral and intravenous administration. Blood samples were collected immediately before (time 0) and at 0.08, 0.25, 0.5, 1, 3, 5 and 8 hours post-dosing to evaluate the pharmacokinetics of sulfamonomethoxine. Plasma sulfamonomethoxine concentrations were quantified with HPLC-UV, and plasma drug concentration versus time data after IV was best fitted to the two-compartment model, characterized with the distribution phase (α) equaled to 2.05 h-1 with a distribution half-life [t0.5(α)] equaled to 0.61 h. The volume of distribution of (V1c) was 0.15 ml/kg., whereas the volume of distribution at a steady – state [Vdss] was 0.20 ml/kg, and the body clearance was 0.03 ml/ kg / h. After oral administration of SMM, plasma drug concentrations were best fitted to a two-compartment model, of which the mean half-life of absorption (t1/2ab) and elimination (t1/2β) were 0.02 and 1.99 h, respectively. The maximal absorption concentration (Cmax) was estimated as 114.06 µg/ml at 0.12 h, and the Area under the curve (AUC) was 340.42 µg/ml/h.
KORELASI CT-SCAN KEPALA DENGAN GLASGOW COMA SCALE (GCS) 13-15 PADA PASIEN CEDERA KEPALA RINGAN DI RUMAH SAKIT DUSTIRA CIMAHI
Authors: Fiddiyanti ilma , Trimurtini Indarti , Tri Ghana Arzun
Published: May 2020

Cedera kepala adalah cedera mengenai kepala secara mekanik langsung atau tidak langsung. Cedera kepala dapat menyebabkan gangguan neurologis, lesi di kulit kepala, fraktur di tulang tengkorak, robekan di selaput otak, dan kerusakan jaringan otak. Cedera kepala ringan bila penilaian skor Glasgow Coma Scale (GCS) 13-15. Computed Tomography Scanner (CT-Scan) adalah pemeriksaan cedera kepala yang mutakhir, sederhana, cepat dikerjakan, dan tidak invasif. CT-Scan dapat memberi penjelasan mengenai proses trauma diantaranya menilai adanya fraktur intrakranial, perdarahan, dan tekanan intrakranial akibat perdarahan. Menilai tanda dan gejala berdasarkan GCS dihubungkan dengan gambaran CT-Scan akan berguna mendiagnosis kelainan kranial. Penelitian ini bertujuan untuk mengetahui korelasi antara CT-Scan dan hasil nilai skor Glasgow Coma Scale (GCS) 13-15 pada pasien cedera kepala ringan di RS Dustira Cimahi. Penelitian ini merupakan penelitian analitik dengan pengambilan data sekunder sesuai kriteria inklusi yang diambil dari rekam medik pasien. Analisis data menggunakan korelasi Spearman dengan p<0,05. Hasil penelitian menunjukkan bahwa pasien yang didiagnosis cedera kepala ringan di Radiologi Rumah Sakit Dustira Cimahi selama bulan Januari sampai dengan Desember tahun 2018 sebanyak 146 pasien, terdapat 68 pasien yang memenuhi kriteria inklusi yang melakukan CT-Scan. Gambaran hasil CT Scan pada pasien cedera kepala ringan terbanyak adalah perdarahan yaitu sejumlah 43 orang (63,24 %), gambaran CT scan dengan hasil normal ditemukan sebanyak 21 orang (30,88%), dan gambaran CT scan dengan hasil fraktur ditemukan sebanyak 4 orang (5,88%). Berdasarkan hasil penelitian terdapat korelasi yang bermakna dengan p=0,026 antara hasil CT-Scan kepala pasien dengan derajat cedera kepala ringan dengan Glasgow Coma Scale (GCS).
Low-Cost and Programmable CRC Implementation based on FPGA (Extended Version)
Authors: Liu Huan , Qiu Zhiliang , Pan Weitao , Li Jun , Zheng Ling , Gao Ya
Published: May 2020

Cyclic redundancy check (CRC) is a well-known error detection code that is widely used in Ethernet, PCIe, and other transmission protocols. The existing FPGA-based implementation solutions are faced with the problem of excessive resource utilization in high-performance scenarios. The padding zeros problem and the introduction of programmability further exacerbate this problem. In this brief, the stride-by-5 algorithm is proposed to achieve the optimal utilization of FPGA resources. The pipelining go back algorithm is proposed to solve the padding zeros problem. The method of reprogramming by HWICAP is proposed to realize programmability with a small and constant resource utilization. The experimental results show that the resource utilization of proposed non-segmented architecture is 84.1% and 37.6% lower than those of two state-of-the-art FPGA-based CRC implementations, and the proposed segmented architecture has a lower resource utilization by 83.9% and 8.9% compared wtih the two state-of-the-art architectures; meanwhile, the throughput and programmability are guaranteed. We made the source code available on GitHub.
PERBEDAAN MODEL PEMBELAJARAN KOOPERATIF STAD DENGAN MODEL PEMBELAJARAN KONVENSIONAL TERHADAP PRESTASI BELAJAR MATEMATIKA
Authors: Fafiliyanto Danang
Published: May 2020

The low learning outcomes of students, it is due to the learning process that is dominated by traditional learning. At this learning atmosphere tends to teacher-centered classroom so that students become passive, therefore it is necessary to implement a learning strategy that can help students to understand the teaching material and its application in everyday life. Based on this, in this study it will be discussed whether there are differences in mathematics achievement subject matter sub gradient between students who are taught by STAD cooperative learning model and the conventional model of learning in class XI SMA Kartika IV-3 Surabaya. The purpose of this study was to determine differences in mathematics achievement between students who are taught by STAD cooperative learning model and conventional learning models. This study uses quantitative research. As the population is students in class XI MIA Kartika IV-3 Surabaya The sample consisted of students of class XI MIA 1, amounting to 25 students as the experimental class and the students of class XI MIA 2, amounting to 25 students as the control class.  Data collection method used is to use the test method. Data in the form of student test results done once the post-test is to determine the value of learning mathematics achievement of students in each sample after treatments or treatments performed. From the analysis we found differences in mathematics achievement between students who are taught by STAD cooperative learning model and conventional learning models, in this case increased learning achievement in cooperative learning model STAD. With the calculation of the t-test is greater than the table or 4.98> 1.98 then H0 is rejected and H1 is accepted.

The conclusion from this study is that there are differences in mathematics achievement subject matter sub gradient between students who are taught by STAD cooperative learning model and conventional learning models, characterized by differences in mathematics achievement.

Keywords: Type STAD Cooperative Learning Model, Model Conventional Learning, Math Learning Achievement.
DIMENSI METRIK DAN DIAMETER DARI GRAF ULAT Cm,n
Authors: Wantika Restu Ria
Published: May 2020

Graf is a pair (V,E) where V set of vertices is not empty and E set side. Let u and v are the vertices in a connected graph G, then the distance d (u, v) is the length of the shortest path between u and v in G. The diameter of graph G is the maximum distance of d (u, v) .For the set of ordered  of vertices in a connected graph G and vertex , the representation of v to W is . If  r (vâ”‚W) for each node v∈V (G) are different, then W is called the set of variants from G and the minimum cardinality of the set differentiator is referred to as the metric dimensions. Based on the characteristics of the vertices and sides of the graph have many types of them are caterpillars and graph graph fireworks, which both have in common at the center of the graph shaped trajectory and earring star-shaped graph. In this paper will prove that Graf caterpillar with   has diameter  and metric dimensions . Keywords: dimensional graph, graph diameter, star graph, graph caterpillar ..