bluuebunny/crossref_metadata_2025 huggingface dataset:
Team Formation for Agile Software Development: A Review
Authors: Zainal Dzulaiha Aryanee Putri , Razali Rozilawati , Mansor Zulkefli
Published: April 2020

Rapid and unpredictable technology advancements cause a rise in demand for software products that can be delivered faster, adapt to volatile changes and save cost. Over the years, Agile Software Development (ASD) becomes more suitable as the software process that can cater to those demands while still maintaining the quality desired. With this Agile nature, it is apparent that the team that develops the software product need to have unique features as well. The team should also be formed correctly to gain effectiveness, strong performance and ultimately project success. Ineffective teams can be caused by, among others, conflict, inadequate skillset, unbalanced role assignment, lack of teamwork and non-competent team members. However, by far, the characteristics that need to be considered in forming effective teams are yet to be formalized. Thus, this study aims to identify the necessary characteristics in composing a competent team that is well balanced and can create coherent teamwork. The study involves a qualitative literature review which includes past studies about team formation specifically in the software development domain. The data were collected from online journal databases and analyzed using content analysis. From the analysis, six characteristics together with their attributes were identified as vital in team formation. Another two characteristics were also identified as influencing the six-team formation characteristics. These findings will need further empirical rigor before they can become a complete Agile Software Development team composition model. This model is believed to assist Agile practitioners in forming effective teams for their development projects.
DATDroid: Dynamic Analysis Technique in Android Malware Detection
Authors: Thangaveloo Rajan , Wang Jing Wong , Kang Leng Chiew , Abdullah Johari
Published: April 2020

Android system has become a target for malware developers due to its huge market globally in recent years. The emergence of 5G in the market and limited protocols post a great challenge to the security in Android. Hence, various techniques have been taken by researchers to ensure high security in Android devices. There are three types of analysis namely static, dynamic and hybrid analysis used to detect and analyze the malicious application in Android. Due to evolving nature of the malware, it is very challenging for the existing techniques to detect and analyze it efficiently and accurately. This paper proposed a Dynamic Analysis Technique in Android Malware detection called DATDroid. The proposed technique consists of three phases, which includes feature extraction, feature selection and classification phases. A total of five features namely system call, errors and time of system call process, CPU usage, memory and network packets are extracted. During the classification 70% of the dataset was allocated for training phase and 30% for testing phase using machine learning algorithm. Our experimental results achieved an overall accuracy of 91.7% with lower false positive rates as compared to benchmarked method. DATDroid also achieved higher precision and recall rate of 93.1% and 90.0%, respectively. Hence our proposed technique has proven to be able to classify malware more accurately and reduce misclassification of malware application as benign significantly.
Diagnosing the Issues and Challenges in Data Integration Implementation in Public Sector
Authors: Mohd Hassan Noor Hasliza , Ahmad Kamsuriah , Salehuddin Hasimi
Published: April 2020

A reliable data is like the oxygen to the application systems. It keeps the application systems breathing and producing meaningful information for day to day operation and decision-making purpose in an organization. The increasing demand of reliable data in day to day operation sparks a big challenge in data integration implementation in many domains including public sector. Through a successful data integration implementation, a trustable non duplicate data will be provided to the stakeholders. Public sector as a domain which solely rely on creating value through services to the stakeholders critically in needs of reliable data to serve the reliable information to the stakeholders. However, there is lack of research being done in diagnosing the issues and challenges of data integration implementation in public sector. It is crucial to identify the issues and challenges so that we could come out with the best recommendation to ensure the feasibleness of data integration in public sector. Thus, this research had explored the issues and challenges in data integration implementation in public sector. Data has been collected using the qualitative method through the content analysis and expert interview approaches. Four main issues and challenges were identified, namely; (1) lack of management and organization support, (2) policy, standard and politics, (3) human resource incapability, and (4) lack of governance.  The finding of this research enlightens the issues and challenges in data integration implementation in public sector and offers the opportunity for future work to propose the solutions to overcome the identified issues and challenges.
Knee Joint Angle Measuring Portable Embedded System based on Inertial Measurement Units for Gait Analysis
Authors: Mayorca-Torres Dagoberto , Caicedo-Eraso Julio C. , Peluffo-Ordóñez Diego H.
Published: April 2020

Inside clinical research, gait analysis is a fundamental part of the functional evaluation of the human body's movement. Its evaluation has been carried out through different methods and tools, which allow early diagnosis of diseases, and monitoring and assessing the effectiveness of therapeutic plans applied to patients for rehabilitation. The observational method is one of the most used in specialized centers in Colombia; however, to avoid any possible errors associated with the subjectivity observation, technological tools that provide quantitative data can support this method. This paper deals with the methodological process for developing a computational tool and hardware device for the analysis of gait, specifically on articular kinematics of the knee.  This work develops a prototype based on the fusion of inertial measurement units (IMU) data as an alternative for the attenuation of errors associated with each of these technologies. A videogrammetry technique measured the same human gait patterns to validate the proposed system, in terms of accuracy and repeatability of the recorded data. Results showed that the developed prototype successfully captured the knee-joint angles of the flexion-extension motions with high consistency and accuracy in with the measurements obtained from the videogrammetry technique. Statistical analysis (ICC and RMSE) exhibited a high correlation between the two systems for the measures of the joint angles. These results suggest the possibility of using an IMU-based prototype in realistic scenarios for accurately tracking a patient’s knee-joint kinematics during a human gait.
Implementation of Lean Practices in a Higher Education Institution’s Student Affairs Office: A Case Study from a Bosnian University
Authors: Krdzalic Amina , Brgulja Amina , Durakovic Benjamin
Published: April 2020

Higher education is a key element of prosperous communities, and the quality of education should be a priority in attracting prospective students. Good education implies good academic staff, well-equipped laboratories, facilities, and efficient processes. Maintain efficient processes is challenging abut achievable. One of the possible solutions to improve education processes is to pursue a lean strategy in order to reduce waste and non-value-added activities. The purpose of this paper is to combine paying off strategies from manufacturing companies with higher education institutions (HEI), in order to enhance the quality of education and efficiency of higher education institutions. This research deals with application lean tools in university processes with the aim of investigating the possibility of applying lean concepts in HEI. Processes from the student affairs office from a Bosnian university were taken as a case study. The tools were used for data collections, student satisfaction measurement, process efficiency analysis and assessment whether the university is ready for the implementation of the lean concept. As a result, it was observed that communication channels between university and students are weak, the student information system does not respond to students’ needs, internal communication channels need to be improved and human resources are underused. Overall, it was found that the lean strategy can be applied in HEIs but for the successful implementation of lean thinking, lifestyle from top management to lower management must be adopted.
Sedimentation Management Strategy in River Estuary for Control the Water Damage in Downstream of Ayung River
Authors: Eryani I Gusti Agung Putu , Nurhamidah Nurhamidah
Published: April 2020

The Ayung River Basin is the largest watershed on Bali Island. Ayung River flows from Lake Batur and empties into Padanggalak beach. River estuary is an area of sediment material deposition that will form an alluvial formation. The deposition of sediment at the river estuary is due to the influence of river flow, tidal, and wave action on the beach. Sediments that settle at the river estuary can obstruct water flow to the sea, which can cause backwater and flooding to the mainland. The strategy of controlling sediment deposition in the river estuary is essential to reduce the water damage in the downstream area, which is usually used as a tourism area. Ayung River Estuary is one of the estuaries that experienced a massive deposition; on the other hand, the Ayung River Estuary is widely used as a tourism area. The data used are primary and secondary—primary data obtained by a survey to the location and secondary data obtained from supporting data for analysis. Sedimentation occurs in the Ayung river estuary. It is due to soil type, topography, and hydro oceanographic condition. Besides, changes in the regional functions, such as temple construction, also affect the sedimentation process in the estuary. Sedimentation management strategies that can be carried out for the Ayung River estuary are the first is with the jetty construction method, which begins with the normalization of the downstream river, and the second is maintenance dredging, which is carried out through cooperation between the government and the community. Besides being used as sediment control, the jetty that was built can be developed as a tourist location around the estuary area.
Core Orientations for 4.0 Technology Application on the Development Strategy of Intelligent Transportation System in Vietnam
Authors: Nguyen Hoang Phuong
Published: April 2020

The Industrial Revolution 4.0 is having a substantial impact on countries in many fields such as industry structure, human resource needs, production management systems. Transportation is a high-community industry, so it will also be strongly affected by this industrial revolution. The achievements of Industry 4.0 can reshape the nation's transportation systems. That poses challenges for transportation managers to change the operating model as well as the transport-related policies. Building and developing intelligent transport systems (ITS) is attracting considerable attention, research, and investment to serve the development of transportation systems in the world as well as in Vietnam. Vietnam is gradually building Intelligent Governments, Intelligent Cities, and the Intelligent Transportation system will be an essential part of that development and entering the stage of access to the 4.0 industrial revolution, building a smart city applying 4.0 technology to bring convenience, friendliness, and safety to people in each city. As a step ahead, the Transport industry gradually realizes its dream of developing intelligent transportation in developed cities like Hanoi and Ho Chi Minh City. The paper presents an overview of the impact of Industry 4.0 on key aspects of the transport sector in general and ITS development strategy in Vietnam. On that basis, state-of-the-art technologies - technology 4.0 are proposed to meet the demands of intelligent transportation development. The paper will show that 4.0 technology is the key to the development of ITS in Vietnam.
Applying Organic Fertilizer from Solid Waste of Super Intensive Shrimp Pond on Production of Milkfish Fingerlings Chanos chanos (Forsskal, 1775)
Authors: Suwoyo Hidayat Suryanto , Tuwo Ambo , Haryati - , Anshary Hilal
Published: April 2020

The cultivation of super-intensive shrimp with high density has consequences on the burden in the form of waste as the aquaculture activities product affecting the habitat feasibility for the aquatic organisms and the environment of fisheries. Super intensive shrimp in the form of solid waste has the potency to use as the raw material of organic fertilizer. Hence, this research is subject to assess the growth response of live feed and milkfish nursery, which are given super intensive pond solid waste through organic fertilizer compared to commercial organic fertilizers. The research used a completely randomized design (CRD) by three times of treatment and repetitions, respectively. The treatment applied in the experimental group was Urea plus SP-36 plus organic fertilizer originated as of best quality concentrated pond solid waste (A), Urea plus SP-36 plus commercial fertilizer (B), Urea plus SP-36 plus chicken farm waste organic fertilizer (C), and the controls group was Urea plus SP-36) (D). The Urea fertilizer dosage was 200 kg/ha, SP-36 as much as 100 kg/ha, and organic fertilizer each as much as 2,000 kg/ha. The parameters observed were components and a large quantity of plankton, the growth and survival rate of the juvenile milkfish, and the quality of water. The results of this research showed that the number of plankton species obtained during nursery of milkfish was 43 genera consisting of 27 genera of phytoplankton and 16 genera of zooplankton. The most dominant plankton found was from the classes Bacillariophyceae as much as 41.86%. The abundance of plankton obtained ranges of 1.330-1.915 ind/L. The super-intensive shrimp pond solid waste was applied as organic fertilizer along with inorganic fertilizer produced abandon plankton along with growth and survival juvenile milkfish produced by the application of commercial organic fertilizer was better than the components in the control group. This research also found that water quality measurement results during the experiment were suitable for the growth of live feed and milkfish.
Performance Evaluation of the NASNet Convolutional Network in the Automatic Identification of COVID-19
Authors: Martinez Fredy , MartÃ­nez Fernando , Jacinto Edwar
Published: April 2020

This paper evaluates the performance of the Neural Architecture Search Network (NASNet) in the automatic detection of COVID-19 (Coronavirus Disease 2019) from chest x-ray images. COVID-19 is a disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) that produces in patients fever, cough, shortness of breath, muscle pain, sputum production, diarrhea, and even sore throat. The virus spreads through the air, and to date, is expanding as a global pandemic. There is no vaccine, and it is fatal to approximately 2-7% of the infected population. Among the clinical and paraclinical characteristics of infected patients, nodules have been identified in images of chest x-rays that can be visually identified, producing a simple, rapid, and generally available method of identification. However, the rapid spread of the disease means that there is a lack of specialized medical personnel capable of identifying it, which is why automated schemes are being developed. We propose the tuning of a NASNet-type convolutional model to automatically determine the initial state of a patient in the triage process or intervention protocol of health care centers. The neural network is trained with public images of cases positively identified as patients infected with the virus and patients in normal conditions without infection. Performance evaluation is also done with real images unknown to the neuronal model. As for performance metrics, we use the function of loss of cross-entropy (categorical cross-entropy), the accuracy (or success rate), and the MSE (Mean Squared Error). The tuned model was able to correctly classify the test images with an accuracy of 97%.
The Ursolic Acid Content of Rumput Mutiara (Hedyotis corimbosa L.) Grown in Various Locations
Authors: Iswahyudi - , Samanhudi - , Yunus Ahmad , Widiyastuti Yuli , Suryanti Venty
Published: April 2020

Hedyotis corimbosa L. or Rumput Mutiara (Indonesian Local name) is one of the plants that is getting more famous as an herbal medicine and is consumed by the public to cure diseases or to maintain health. All parts of Hedyotis corimbosa L. can be used as an efficacious drug, which is an anti-inflammatory, anticancer, antipyretic, diuresis, blood circulation, antitoxin, etc. As an herbal ingredient, Hedyotis corimbosa L. is currently known as a wild plant that has not been popularly cultivated, thus the quality of Hedyotis corimbosa L. is varied. Therefore, it is necessary to map which areas produce Hedyotis corimbosa L. with highest ursolic acid. This study aimed to determine the content of ursolic acid in Hedyotis corimbosa L. from its various different growth locations. This research applied thin layer chromatography techniques and the analysis of variance with a level of Î± = 5% using Unbalanced Incomplete Block Design. The results showed that site altitude treatment did not show any significant difference in the number of leaves, root length, plant height, node length, stem diameter, number of branches, leaf width, leaf length, flower stem length, total extract Yield, and ursolic acid levels. Still, it showed significantly different effects on water content, dry rendement, and productivity. The correlation analysis showed that there is no significant correlation at Î± = 5% between ursolic acid content and root length, plant height, leaf width, leaf length, and total extract Yield while node length, stem diameter, number of branches, flower stem length, number of leaves, dry rendement and productivity showed a significantly positive correlation with ursolic acid content. Water content showed significantly negative correlation with ursolic acid content. The conclusion is that there is no significant difference in ursolic acid content from plants grown at low altitudes and medium altitude. However, the content of ursolic acid from medium altitude is relatively higher compared to ursolic acid content from low altitude. This implies that there is a tendency for ursolic acid content in Hedyotis corimbosa L. to be influenced by the conditions of its growth location so that cultivation treatment with different conditions will affect the ursolic acid content.
Urban Scale SO2 Dispersion Model due to Transport Sector in Padang City, Indonesia
Authors: Bachtiar Vera Surtia , Purnawan  , Afrianita Reri , Saputra Yogi
Published: April 2020

The main purpose of the study was to model and map the dispersion of Sulfur dioxide (SO2) concentrations from transport activities in Padang City. The sampling of SO2 was carried out for 1 hour at 25 monitoring sites. The samples of SO2 were then analyzed with Pararosanilin methods using a spectrophotometer. SO2 concentration samples were analyzed to develop a statistical model. Statistical models are developed based on traffic volume, traffic density, traffic speed, and wind speed. Validation was carried out to determine whether the model is valid or not statistically. Then, the model used to determine the concentrations of SO2 at 40 monitoring points for traffic characteristics measurements. SO2 concentration modeled ranges from 31.42 to 301.17 ï­g/m3. SO2 concentration model showed a very strong correlation to the volume of traffic (r = 0.822); strong against the traffic density (r = 0.7820); strong against the traffic speeds (r = 0.6939); and weak against wind speed (r = 0.3271). The validation test confirmed that SO2 regression model does not have a significant difference between the model and the measurement results. This means that the model is statistically valid and can be used to predict SO2 concentration. SO2 gas dispersion mapping shows the concentration of SO2 ranges from 25-300 µg/Nm3. The highest concentration of SO2 at 40 monitoring points found located on Khatib Sulaiman Road and Sudirman Road. SO2 concentration value indicated that air quality in Padang City is still below the national air quality standard value (900 µg / Nm3).
Success Factors for Public-Private Partnership Infrastructure Projects in Vietnam
Authors: Nguyen Phong Thanh , Likhitruangsilp Veerasak , Onishi Masamitsu
Published: April 2020

Infrastructure projects require a great amount of capital investment resulting from their tremendous size, complexity, and risk. Due to the limitation of public finances, the private sector is invited to participate in infrastructure project development. The private sector can entirely or partially invest in an infrastructure project in the form of public-private partnership (PPP) scheme, which has been an attractive option for several developing countries, including Vietnam. Unfortunately, despite the PPP scheme will improve project efficiencies and attract capital investments of private investors, the success of PPP implementation is not guaranteed. This paper investigates the critical success factors (CSFs) of PPP infrastructure projects in Vietnam. Relevant data were collected through in-depth interviews with six PPP experts and questionnaire surveys with 150 interviewees, and then analyzed by the word cloud technique and the one-way analysis of variance (ANOVA) test. The CSFs were ranked based on the viewpoints of the public sector, the private sector, and the PPP consultants. The outcomes show that there was no significant difference in the perceptions of all three parties concerning the success factors for PPP infrastructure projects in Vietnam. The top five critical success factors are (1) timely land acquisition and appropriate compensation, (2) financial capacity of the private sector, (3) effective project management, (4) favorable and complete legal framework and regulations, and (5) financial feasibility and attraction. Recognizing the CSFs is indispensable to ensure the success of PPP infrastructure project implementation.
Challenge for the Design and Construction of Jakarta MRT from Geotechnical and Traffic Engineering Perspectives
Authors: Rahardjo Paulus P , Sutandi Caroline
Published: April 2020

Traffic condition in Jakarta has reached critical level without the support of adequate public transportation. Jakarta MRT is another transportation mode proposed for the solution. However, this system will not respond to the issue without integration with existing transportation modes i.e., Bus-Trans-Jakarta and LRT. This paper discusses the geotechnical and traffic engineering aspects of the design and construction of Jakarta MRT. In geotechnical perspectives, the fact that soil conditions in Jakarta are soft, so construction requires careful design and method to reduce disturbance to existing traffic conditions. Diaphragm wall used with top-down construction has been proved as the best solution and the use of TBM is required. In traffic engineering perspectives, all existing transportation modes are considered in the determination of MRT station locations as well as the challenge of substructures construction in the soft soil area. Considering public safety during construction, it has been designed with combined elevated railways at the south corridor and subway in the northern corridor.  This study concluded that the selection of the station locations considering integrated all public transportation modes is a must and the construction method for subsurface structures should be selected carefully to reduce traffic disturbance in Jakarta and to keep public safety.
Decision Support System of Lecturer Selection Recommendation with Collaborative Filtering Method
Authors: Honggowibowo Anton Setiawan , Wintolo Hero , Indrianingsih Yuliani , Adiba Regina Maula
Published: April 2020

The use of decision support systems for the selection of the best lecturers at Adisutjipto Institute of Technology (STTA) is not yet at the level of application. The average tertiary institution in selecting the best lecturers uses certain criteria, for example the criteria in teaching, research and community service. Of the three indicators of lecturer performance in Indonesia, we only use two indicators, namely research and community service. From these two indicators, we made five criteria, namely the number of presenters at the conference, the amount of community service, the number of unpublished research, the number of published research, and the number of citations of scientific articles. The selection was made by users, namely STTA Director, Vice Director for Academic Affairs, Vice Director for Financial Affairs and Community Service Research Center to 62 lecturers who were active in research, community service and publications indexed on Google Scholar. This user restriction is adjusted to the organizational structure at our university, where the five users have authority in assessing the performance of lecturers and giving awards to lecturers who are declared as the best lecturers. After Collaborative Filtering method is done to predict the final result using the rating given by the user. Based on the results of the system testing, it was concluded that the system that was built could be a solution to help select lecturers who were eligible to be given awards as the best of lecturer in the field of research and community service.
An Intelligent Transportation System: the Quito City Case Study
Authors: Zambrano Ana , Zambrano Marcelo , Ortiz Eduardo , Calderon Xavier , Botto Tobar Miguel
Published: April 2020

Managing traffic in a large city has become a topic of great interest in both politics and science. The costs of poor traffic management have been quantified as losses equal to millions of dollars, not counting the unquantifiable value of the time that a person loses in traffic jams. Intelligent transport systems (ITS) offer a set of innovative solutions specific to the management of different modes of transport. This article focuses on the development of an ITS for the city of Quito that allows smart decision-making to direct heavy haul transporters that want to enter the city via one of its main access routes. Technologies such as Sensor Web Enablement (SWE), in association with the Message Queuing Telemetry Transport (MQTT) communication protocol, facilitate the development of a vehicular management platform/system capable of sending notifications in real-time and issuing instructions to drivers regarding traffic delays along routes, average speeds, etc. The system supports a network of heterogeneous sensors accessible through the web. It can integrate any device that uses HTTP protocol. Time interval and location range testing have been undertaken to refine the accuracy of the system and make it adaptable to any geographic situation. The system allows communicate with the server through MQTT or through web services, using technologies such as: MongoDB and GeoJSON. One of the most relevant results is that the degree of accuracy of the system is within appropriate ranges when compared to commercial applications such as Google Maps and Waze.
Factors Influencing the Adoption of Open Government Data in The Public Sector: A Systematic Literature Review
Authors: Haini Siti Isnaine , Ab. Rahim Nor Zairah , Mohd. Zainuddin Norziha Megat , Ibrahim Roslina
Published: April 2020

Open Government Data (OGD) adoption has been extensively studied; however, few have examined the success factors of OGD adoption in the public sector context. The benefits of leveraging data in enhancing public service delivery have been a significant concern to the top management of the public sector in providing them insight for strategic planning together with timely decision making. The aim of this paper is to review recent literature from the year 2010 to 2018 on OGD adoption at the organizational level in the public sector context. We systematically searched all English papers that were indexed in seven electronic journal databases (Scopus, Emerald, Web of Science, Science Direct, ACM, Springer and IEEE) which include journals, proceedings, books and book chapters. Few papers were acquired from snowballing techniques and ResearchGate webpage. A total of 886 publications were identified in this process and 25 papers have finally been selected which are deemed as relevant papers for the analysis stage. As derived from 25 selected papers, this study has identified 16 factors that influence the OGD adoption which has been categorized into three main dimensions: Technological, Organizational and Environmental (T-O-E). Policy, technological competence, top management support and organization culture are among the most influential factors of OGD adoption. Therefore, this study is expected to assist other researchers to understand the current stage of OGD adoption in terms of influential factors, research domains and research methodology.
Importance of Compliance to Quality Management of Healthcare/Medical Waste: A Review
Authors: Giasuddin Prof. Dr. ASM , Khurshid Dr. Natasha , Raisa Seoty Ms. Nuhad
Published: April 2020

All healthcare and service provider including corporate hospital generate healthcare/medical waste during their activities, although 75-90% of the wastes. The remaining 10-26% healthcare waste are considered/regarded as hazardous and may create a variety of health risk for the healthcare workers as well as for the community and Environment as a whole unless managed properly and adequately. Therefore, Compliance to adequate & appropriate waste disposal processes should be carried out & compliance to them are vitally important from public health view point.
Evaluation of the Appropriate Use of Ceftriaxone in Internal Medicine Wards of Wad Medani Teaching Hospital in Sudan
Authors: Malik Mohammed I. , M. Alagab Mohmmed Albadawy , Maatoug Maha Mirghani , Zahran Fawkia E. , Elmubarak Abelhameed H. , Alhaddad. Taaher , Omer Sawsan A
Published: April 2020

Background: Antibiotics are one of the commonly prescribed drugs over the world. Overprescribing of antibiotics may result in serious bacterial resistance. The main cause of inappropriate prescription of antibiotics is the absence of guidelines and protocols for its use. The aim of this study was to evaluate the appropriate use of ceftriaxone (broad-spectrum third generation cephalosporin antibiotic) in internal medicine wards of Wad Medani teaching hospital in Sudan, as well as comparing its use with reference to the standard of Sudan treatment guidelines and reliable references like British National Formula (BNF) and Sanford guide.

Methods: Prospective cross –sectional study conducted in the internal medicine department at Wad Medani Teaching hospital by reviewing the files of all in-patients admitted to medical wards, who received ceftriaxone between November and December, 2018 and the appropriateness use of ceftriaxone was evaluated depending on six criteria: indication, dose, frequency, duration of treatment, culture and sensitivity test and drug –drug interaction

Results: A total of 280 admitted patient’s treatment chart containing ceftriaxone injection were analyzed. Ceftriaxone was indicated empirically in 91.1% mostly for respiratory tract infection (35%). Ceftriaxone appropriate dose was given in 59% of patients, inappropriate frequency in 68.9% and incorrect duration in 51.1%. Co-administered drugs with major interaction in 3.6% of patients.

Conclusions: This study revealed high inappropriate use of ceftriaxone where it was given without implementing culture and sensitivity test in the majority of patients. This may result in treatment failure so educational programs is recommended to address the irrational use of antibiotic.
Neutropenia Associated with Methimazole Therapy in A 4.7-year Girl with Graves’ Disease.
Authors: Salah Shaima
Published: April 2020

We present a case of neutropenia complicating methimazole therapy for Graves’ disease in a 4.7-year child. The decreasing neutrophil count encountered 8 months of starting therapy, associated with losing the maintained euthyroid state, presented with the typical manifestations of neutropenia and improved rapidly after a 24 hour discontinuation of therapy followed by changing its frequency with the same dose.
Exploring Multiple Dimensions of Recording Video Clips in Group in Learning English Speaking Skill
Authors: Nguyen Chau Bich Tuyen
Published: April 2020

Applying technology in learning English language is indispensable in the period of industry 4.0 and global integration. However, what technological techniques should be applied in teaching and learning process is the most serious concern. Evidence shows that different technological applications may lead to various learning outcomes, detrimental effects, even spoiling learning interest or motivations. Therefore, this paper is aimed not only to explore the multiple dimensions of recoding video clips in group (RVCIG) in learning English speaking skill but also illustrate how this activity (RVCIG) influences on learners’ English speaking  improvement. Apparently, these explorations and illustrations help to consider whether this RVCIG is widely used in teaching English speaking process or not. To do that, a quantitative research method with the tool of semi - structure interview is used to collect various information, mixed feedbacks or motivations from 2 groups of students fully participating in recording three video clips in group within course. Additionally, a questionnaire survey is also sent to 33 English learners for exploring both commendable and detrimental influences of this RVCIG on English speaking development. The findings indicate that RVCIG makes learners have various opposite experiences in language competence, confident expression, and communication, as well as cope with unavoidable challenges of time consuming, technological problems, and group member’ disagreements. Whatever advantages or disadvantages of this RVCIG activity has, learners also express their interest and expectation of recording video clips in group for purposes of English speaking improvement, mutual engagement, collaborative learning and building friendship.
Development of Sustainable Tourism Destinations and Poverty Alleviation of Bangladesh
Authors: Sheikh Md. Imran
Published: April 2020

Tourism sector has been considered as the crucial sectors of many different countries of the world. And sustainable tourism brings enormous scope as a rapid growing economic sector on the basis of foreign exchange earnings and generation of employment opportunity and thereby elevating poverty from the country. The central aim of this study is to investigate the role of sustainable tourism in alleviating poverty from developing countries, especially the northern part of Bangladesh.  For this purpose, the different tourism sites have been selected that are situated in Rajshahi region like Padma Garden, Varendra Museum and Shaheed Kamruzzaman Zoo. Rajshahi, the major tourist destination region in Bangladesh which is very beautiful and flourished that has a great chance to contribute country’s infrastructure and economic development. This study conducts a survey on 200 respondents in three different places of Rajshahi through the structured questionnaires, observation, interview and literature review. An exploratory research method was employed because the nature of the study was descriptive due to the fact that most of the respondents were illiterate or semi   illiterate. Besides IBM SPSS Statistics 20 is being used to analyze the data. Through the factor analysis and other measurements tools this study expatiates the social, cultural, economic, environmental and other factors which touching the sustainability of Rajshahi and also provide recommendations about the required steps that needs to be taken into account to palliate and to manage the drawbacks of tourism to make Rajshahi as a sustainable tourism destination. Besides it reveals the relationship between tourism development and poverty alleviation in Bangladesh. The study also suggested few ways by which existing tourism can be promoted and well developed in Bangladesh thereby ensuring sustainable tourism development (STD) and economic growth.
Blockchain Innovation and Its Capacity to Enhance the Quality From Accounting Information Systems
Authors: Supriadi Iman , Harjanti Wulandari , Suprihandari Miya Dewi , Dwi Prasetyo Hendra , Muslikhun
Published: April 2020

Blockchain is a promising technology for real-time accounting records and continuous monitoring. Blockchain innovation offers a technique for sharing data sources among individuals, also if they don't count on each other, and this produces a market for moving possessions based on peer-to-peer networks without a main authority. Blockchain innovation has drawn considerable financial investment from endeavor capitalists, multinational bankers, and the attention of regulators. This paper attempts to talk about the background from blockchain innovation, present use, and capacity applications that may enhance the timeliness, high quality, and precision from bookkeeping info. This paper will likewise assess the efficiency from some useful bookkeeping applications
The Effect of Cesarean Delivery on Child Survival and Early Breastfeeding Practices: Global Data from 103 Provinces in the Eastern Mediterranean Region
Authors: Al-Jawaldeh Ayoub , Abul-Fadl Azza
Published: April 2020

Background: Early initiation of breastfeeding (EIBF) plays an important role in the reduction of infant mortality. Although Cesarean section (CS) can save lives it delays EIBF and thereby increases risk of mortality.

Aim: To examine the relationship between CS and EIBF with child mortality.

Methods: Data was recruited from recent demographic health surveys for 129 provinces of seven Eastern Mediterranean countries.  The data was analyzed for breastfeeding initiation (EBFI) rates in the first hour and the first day, feeding prelacteals, delivery by skilled birth attendant (SBA), and delivery by CS, also neonatal mortality (NMR), infant mortality rates (IMR) and under-five mortality rates (U5MR). Statistical analysis was done using Pearson correlation and descriptive statistics. The economic cost of unnecessary CS correlated to mortality rates and EBFI.

Results: Overall CS was inversely associated with EBFI in the first hour after birth (r-0.2, P=0.1), intake of prelacteals (r-0.3, P=0.008) and NMR (r-0.3, P=0.1), IMR (r-0.4, P=0.0001), and U5MR (r-0.4, P=0.0001) at P<0.05 and positively associated with EBFI in first day (r0.2, P=0.06).  CS below the recommended level by WHO (<15%) was inversely associated with IMR. Moderately high CS >18% was inversely correlated with EBFI and positively correlated with intake of prelacteals, NMR and IMR. Very high CS >40 was inversely correlated with mortality at P<0.01. Unnecessary CS was significantly inversely correlated with U5MR.

Conclusions: CS when unnecessary or by unskilled birth attendant, is a threat to child survival. Breastfeeding initiation, as early as possible skin-to-skin, is recommended to alleviate the outcome of CS.
Perceived Parenting Styles and Psycho-social Wellbeing of Nigerian Adolescents
Authors: Akpunne Bede , O Akinnawo Ebenezer , A Olajide Olufunmilayo
Published: April 2020

The influence of parenting styles on the psychosocial wellbeing of Nigerian adolescents is yet of be given adequate research attention. This study bridges the gap in knowledge. Findings may be useful in planning appropriate interventions program necessary to improve the psychosocial wellbeing of adolescents in Osun state, southwestern Nigeria and relation with similar social-cultural backgrounds. Purposive sampling technique was used to select 332 (mean age = 14) in-school adolescents who responded to Mental Health Continuum – Short Form (MHS-SF) and Parenting Style Instrument (PSI). Descriptive and inferential statistics (Regression, Independent sample t-test and One Way ANOVA) were used for data analysis. A low level of psychosocial wellbeing was observed among the adolescents. Prevalence of very low levels of emotional wellbeing (16.9%), social wellbeing (22%), and psychological wellbeing (19.3%) were reported. Patterns of observed parenting styles are authoritative parenting style (45.5%, 41.6%, and 12.9%), authoritarian parenting style (53%, 30.7% and 16.3%); permissive parenting style (64.2%, 20.7% and 15.1%)  for low, high and very high levels respectively. No significant gender difference was observed in the psychosocial wellbeing scores of the adolescents; a significant religious affiliation difference was found in the social wellbeing of the participants. Adolescents from public schools manifested higher levels of social wellbeing than their counterparts from private schools. Parenting styles significantly predict level of psychosocial wellbeing of the adolescents. Neither family type nor family size had significant influence on the level of psycho-social wellbeing of the adolescents.
Development of the Distance Earth-Moon
Authors: Gimsa Andreas
Published: April 2020

The expansion of the universe has a much larger dimension than previously thought. Because of entropy constancy, all masses must fall and all distances must increase. This is investigated using the example of the development of the distance Earth-Moon. The influence of tidal friction on the increase in distance is investigated and quantified. It was found that tidal friction exerts less influence than is currently assumed. If the influence of expansion and tidal friction is taken into account, a very good agreement between the calculations made here and the measured distance is achieved.
The Levels of Financial Literacy in Kampala, Uganda: A comparative analysis using objective and subjective measures
Authors: Agabalinda Colin , Isoh Alain Vilard Ndi
Published: April 2020

The study presents a comparative analysis of objectively measured and subjectively measured financial literacy in Kampala, Uganda. Financial literacy levels were measured and compared by the demographic characteristics of age, gender, employment status, level of education, and access to financial education. Survey data from a sample of n = 351 adults proportionately selected the five administrative divisions of Kampala in Uganda was analyzed using descriptive statistics, Exploratory Factor Analysis (EFA), and the Analysis of Variance (ANOVA). The findings reveal a high level of self-assessed financial literacy and a low level of objectively measured financial literacy among respondents. On the overall, respondents have a limited understanding of basic concepts of interest rate, inflation, and securities, thus suggesting overestimated levels of financial literacy among people in Kampala. The study finds the overestimation problem more prominent among younger people, and those employed in the formal sector. Further, financial literacy (both objectively and subjectively measured) is higher among men than women; and also higher among the respondents that have had prior financial education. Our findings have vital implications for policy and practice: First, is that financial education is a useful tool in promoting financial literacy. Second, financial education programs in Uganda need to proactively target women, persons aged 35 yrs and above, and self-employed persons operating in the informal sector. Third, there is an urgent need for financial educators to promote awareness on the need for financial education, especially among segments with overestimated levels of financial literacy.
Illegal Mining and Sustainability Performance: Evidence from Ashanti Region, Ghana
Authors: Nti Thomas , Chen YinFei , Quayson Bright Parker , Agyei Fred Yeboah
Published: April 2020

As illegal mining in Ghana has become increasingly rampant ever, this study aimed at examining the effect of illegal mining on the dimensions of sustainability performance among crop farmers and the challenges they face because of illegal mining in the Ashanti Region, Ghana.

To investigate the intriguing connections among illegal mining and sustainability performance among crop farmers, this paper draws on multidisciplinary literature and collects empirical data from 250 respondents in the Atwima Nwabiagya and Atwima Mponua Districts, Ghana to test the proposed model and hypotheses using structural equation modeling.

All the three (3) elements or paradigms of sustainability performance were negatively affected by illegal mining activities. It was also observed that a significant positive relationship exists among all the elements of sustainability performance hence a consequence on one element may affect the other.

Unlike most research on illegal mining that has been theoretical, this study represents one of the few empirical analyses of how illegal mining may affect sustainability performance
The Urgency of Gresik Wooven Sarong as Local Wisdom Research
Authors: Harjanti Wulandari , . Ujianto , Riduwan Akhmad
Published: April 2020

Local wisdom is seen as something that contains goodness for the lives of the people who embrace it. With the development of local industries, local excellence will become the potential for specific resources that are part of the scope of regional development planning. In one regional community in Gresik district, the community weaves traditionalist sarong and strongly holds local traditions which it considers as a legacy from their ancestors. From a tradition within a group / community comes the character in the group, this trait gives rise to local wisdom, namely; religious Islam, Mutual Cooperation and Panggungan (souvenirs) are inherent in the hospitality of the community in Gresik Regency which is pursued as a terminology in driving Small businesses in Gresik that continue to develop with the help of the Gresik district government
Designing Smart Student Savings Tools Based on Arduino and Web
Authors: Pardjono Sigit , Juarna Asep
Published: April 2020

In this modern era, everything is done easily, from electronic equipment to electronic transactions is developed increasingly sophisticated. The equipment and sophisticated electronic transactions turned out to have major problems that could result in dissipation, especially students in schools. The purpose of this study is to create and design a smart savings machine tool, where this machine will be controlled via RFID and a sensor with a microcontroller, so that each individual can learn to economize in managing finances. This machine is designed by adding a color sensor for depositing and withdrawing cash with only three nominal banknotes, namely Rp. 10,000, Rp. 5,000 and Rp. 2,000. Furthermore, this device is also able to calculate the financial balance that has been entered. As an input, Arduino Mega 2560 is needed for data processing. Whereas, the color sensor output is used to read the basic colors red, green and blue on the surface of the lower left corner of the rupiah banknotes. This tool works as desired, can read RFID (Radio Frequency Identification) cards that have been determined and the color sensor can respond to colors on a nominal bill of Rp 2,000, Rp.5,000 or Rp. 10,000 and able to detect the time when saving and accumulating the balance. To attract money into the storage area, two DC motors are used. When the TCS230 color sensor detects money, there are several times that the currency is unreadable due to the influence of external light which causes the sensor to be inaccurate in reading the frequency value of the money color.