bluuebunny/crossref_metadata_2025 huggingface dataset:
Areca Short Fiber Reinforced Polylactic Acid (PLA) Composites: Influence of Physical Treatment on Properties
Authors:   Student of Department of Mechanical Engineering, The National Institute of Engineering, Mysuru, Karnataka, India, Desai* Raghuveer H. , Krishnamurthy Dr. L. ,   Faculty of Department of Mechanical Engineering, The National Institute of Engineering, Mysuru, Karnataka, India
Published: December 2019

There is growing need to develop new biodegradable composite material which are eco-friendly and at the same time cater to the product application requirements. The research emphasis on study the properties of composites prepared by arbitrarily distributed UV treated areca fibers with Polylactic acid. Ultraviolet – a physical surface treatment has been carried out to treat areca short fibers which have been extracted from areca husk. Surface treatment significantly improves the bond between the fiber- matrix interface. The preparation of test samples has been performed using plain Polylactic acid, Polylactic acid - untreated areca short fiber (PLA-UnASF) and Polylactic acid - UV treated areca short fiber (PLA-TrASF) as per ASTM standards by means of injection moulding method. Varying fiber loading viz., 10%, 20%, 30% and 40% by weight have been utilized to develop test specimens. Developed composites have been portrayed for properties like density, moisture absorption, mechanical - tensile strength and modulus, flexural strength and modulus, izod impact strength, hardness, electrical - dielectric strength, thermal – TGA and DSC and soil degradation. The results indicate an improvement in strengths of composite with increase in fiber loading and physically treatment. This new material can be utilized for house hold appliances, automobiles and industrial applications.
Effect of Barriers Height at Inclined Cascade Aerator
Authors:   Food Technology, Vignan’s foundation for Science, Technology &Research, Guntur, India., Ghosh* Mahuwa , Abdul Sayyad ,   Food Technology, Harcourt Butler Technical University, Kanpur, India., Kumar Avinash ,   Agricultural Engineering, Assam University, Silchar, India.
Published: December 2019

World generate a large amount of water loss due development of carbon dioxide, hydrogen sulphide, methane and various volatile organic compounds responsible for bad taste and odour water causes the large amount of marine animals’ death. Aeration is used to increase to oxygen content of the water. Stepped cascade is one of that aerators one of that aeration which is applied. In this present study were analysed the performance of the Standard oxygen transfer rate (SOTR) and Standard oxygen efficiency (SAE) in water. In each case comparison of the performance of the SOTR at the barrier height 10cm shows different from the barrier height at 6cm. Same as comparison of the performance of the SAE at the barrier height 10cm shows different from the barrier height at 6cm. By varying the cascade height 0.5, 1, 1.5, 2 m and 0, 1, 3, 7 number of barriers at two different barrier height 10cm, 6cm. Found that performance increase with the increase in no of barriers, with the height of barriers and the height of cascade.
Network Structural Equivalence and Public Sectors’ Organizational level of Influence in Information Sharing Network: A Social Network Methodology
Authors:   School of Management, Faculty of Economy and Management, Universiti Kebangsaan Malaysia, Bangi, Malaysia., Osman* Lokhman Hakim , Ahmad Azhar ,   Associate Professor at National University of Malaysia., Othman Abdullah Sanusi ,   senior lecturer at the National University of Malaysia.
Published: December 2019

Structural equivalence has been a fascinating topic for industry and academia due to its connection with network embeddedness. This study investigates the network assumption that structural equivalence is a major determinant of influence derives largely from the frequent finding that organizations that are embedded with influential connections are at an increased likelihood of becoming influential themselves. It is suggested that the strong and consistent structural equivalence position is at least partially responsible for factors of reputational influence among directors of government agencies. The contribution of this study continues to enrich the literature of the network and provide the solution for the industry since earlier research is neglecting the impact of relations upon the level of influence. Using exploratory social network methodology and statistical evaluation of Exponential Random Graph Modeling, this research found that, directors of government agencies may gain greater influence via its structural equivalence position in an informal network. It is also, argued that social network methodology is an appropriate method for researching influence development use in the context of networked organizations. The contribution of this study to industry and theory are discussed.
Total Quality Management Implementation in Healthcare Sector, Its Impact on Performance of Hospitals
Authors:   Mittal School of Business, Lovely Professional University, Phagwara, India., Puri* Gaurav , Babu Dr. S. Hari ,   Management Block, Symbiosis Institute of Business Management, Nagpur, India., Sharma Dr. Rahul ,   Mittal School of Business, Lovely Professional University, Phagwara, India.
Published: December 2019

The focus of this article is to have a discussion on TQM implementation in the hospital sector and to find out the relationship between TQM practices and organization performance of hospitals. This research is based on literature review of Quality Management and various critical success factors namely leadership, communication, employee involvement, customer focus, organization culture, strategic planning and patient loyalty. This article has made an attempt to establish a positive relation between a second order construct of Total Quality Management and their influence on the organizational performance of hospitals in Punjab. The paper has been framed with a conviction that it may prove to be beneficial for academicians and managers to excavate a relationship between Total Quality Management practices and hospital performance. Although it is a commonly accepted belief that National Accreditation Board of Hospitals i.e. NABH accredited hospitals are quality oriented, still non-NABH hospitals can enhance their organization performance focusing on the critical factors and improving their quality. In this article structural equation modelling has been used to bring out a relation between quality practices and performance. In an original way this paper proposes the critical success factors affecting TQM and how the hospitals can improve their quality and ultimately organization performance including subjective and objective performance, by focusing on these measures. The article encourages reflections from managers and practitioners concerning Quality Management in hospital/healthcare sector. We request that medical practitioners follow the procedures for improvement in critical success factors affecting TQM and ultimately, enhancement in their quality management practices in order to achieve better organization performance.
Transition from Holistic to Deep learning Face Recognition Methods
Authors:   Professor and Head in ECE Department in Sona College of Technology, Salem, Tamil Nadu, India., Sabeenian* Dr.R.S. , Harirajkumar J. ,   Associate Professor, Department of ECE, Sona College of Technology, Salem, D’ Cruz Lizzie ,   Lecturer (SG) in Dr. B. R. Ambedkar Institute of technology
Published: December 2019

Face recognition, the fastest growing biometric technology of computer vision, made a breakthrough in the field of security, healthcare, access control and marketing etc. This technology helps in automatically discern and identify the faces for authentication by comparing available digital image of faces. Various algorithms have been developed for enhancing the performance of face recognition system. The face authentication system entails three major steps, face detection, feature extraction and face recognition. This paper provides some of the major milestones of face representation for recognition like holistic learning approach, feature based approach, hybrid approach and deep learning approach. The various techniques under these categories are reviewed. Finally, implemented face recognition using convolution neural network (CNN). In this method, the image is captured through webcam for the dataset preparation. The detection is carried out by CNN cascade, followed by face landmark and face embedding by FaceNet CNN. Recognition of face is performed after training the network. Implemented faces recognition successfully and accurately for smaller dataset.
Impact of Atmospheric Stability Indices on Convective Systems Over India and Srilanka
Authors:   Department of Atmospheric Science, Koneru Lakshmaiah Education Foundation, Vaddeswaram–522502, India., Umakanth* N. , Satyanarayana G. Ch. ,   Department of Atmospheric Science, Koneru Lakshmaiah Education Foundation, Vaddeswaram–522502, India., Simon B. ,   Space Applications Centre (SAC), Ahmedabad–380023, India., Rao M.C. ,   Department of Physics, Andhra Loyola College, Vijayawada-520008, India., Babu N. Ranga ,   Department of English, Andhra Loyola College, Vijayawada-520008, India., Satyanarayana T. ,   Department of EIE, Lakireddy Bali Reddy College of Engineering, Mylavaram–521230, India
Published: December 2019

Thunderstorms are real-time global phenomena, as their occurrence can take place at anytime at any place. Though their duration is less when compared to large scale processes, their damage is devastating to human life. Thunderstorms are linked with damage factors such as lightning, damaging wind, hails and rain. Real-time satellite data provide atmospheric data which is useful for prediction of thunderstorms. In this paper, an attempt is made to analyze the statistical based stability indices from INSAT-3D, MODIS and ECMWF satellites for the now casting of thunderstorms. The occurrences of severe thunderstorms over India and Srilanka during the month of October 2013, 2014 and 2015 have been analyzed. In these three years, five severe thunderstorm cases were identified using Insat-3D cloud images and thunderstorm reports. Atmospheric stability indices such as K Index (KI), Lifted Index (LI), Total Totals Index (TTI), Total Precipitable water (TPW), Humidity Index (HI) related with severe convection system over India and Srilanka during October month were identified to provide guidance for the study of convection and thunderstorm activity. These indices give us a clear indication of development of convective system before 3 to 4 hours. Results of this study indicate the importance of satellite data for studying the development and decay of convective systems.
Identification of Gender based on Blogs using Attention-based Recurrent Neural Network
Authors:   School of Computing Science and Engineering, Galgotias University, Greater Noida, India., Minocha* Sachin , Kumar Tarun ,   School of Computing Science and Engineering, Galgotias University, Greater Noida, India., Agrawal Prem Prakash ,   School of Computing Science and Engineering, Galgotias University, Greater Noida, India.
Published: December 2019

With the digitization, the importance of content writing is being increased. This is due to the huge improvement in accessibility and the major impact of digital content on human beings. Due to veracity and huge demand for digital content, author profiling becomes a necessity to identify the correct person for particular content writing. This paper works on deep neural network models to identify the gender of author for any particular content. The analysis has been done on the corpus dataset by using artificial neural networks with different number of layers, long short term memory based Recurrent Neural Network (RNN), bidirectional long short term memory based RNN and attention-based RNN models using mean absolute error, root mean square error, accuracy, and loss as analysis parameters. The results of different epochs show the significance of each model.
Scientific Publication Analysis: Financial Reporting Quality Insight
Authors:   Faculty of Business, Economics and Accountancy, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia, Kiflee* Ag Kaifah Riyard bin , Ali Khan Mohd Noor Azli bin ,   Azman Hashim International Business School, Universiti Teknologi Malaysia, Johor Bahru, Johor Darul Takzim, Malaysia, Bosi Mathew Kevin ,   Faculty of Business, Economics and Accountancy, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia
Published: December 2019

After most shocking accounting scandals happen to Enron and WorldCom, most of the countries around the globe started to analyse their existing financial standards realising the importance to have sturdy corporate governance in order to produce high quality financial report. To further understand the nature of the research topic, a broad of research association is necessary. This study focus on conducting bibliometric analysis, with the objective to determine the research trend especially in FRQ area based on total publications, co-authorship among countries and authors, and co-occurrence of authors keywords. Bibliometric analysis is a method of analysing database publication trend based on specific area such as FRQ, risk and economics. By using Scopus database, total of 396 articles is extracted between 1993 to 2018. The result suggested that, the interest on FRQ study start to bloom from 2008 and experience a steady increment until 2018. About 50 percent of the total global publication of FRQ research area was published by researchers from USA and China, leading the other countries like Indonesia, Korea and Malaysia. It is also documented that top research institute who actively publishes on FRQ research also coming from USA. The recent sub-theme of FRQ arguably focusing other area such earnings management and discretionary accruals. This study arguably important to professional bodies in their attempt to convince the directors the benefit associated by enhancing the quality of FRQ.
Relevance and Resourcefulness of Business Communication Course Contents: A Critical Evaluation in the State of Andhra Pradesh
Authors:   SSL, VIT University, Vellore Tamilnadu, India, kumar* Patlegar Vijaya , Dwivedi Dr. Laxmi Dhar ,   SSL, VIT University, Vellore, Tamilnadu, India
Published: December 2019

In the context of career opportunities and job prospects, possessing good communication and employability skills in campus drives is one of the most significant areas to be improved in a life of management students. In order to achieve this, Business Communication course in a two year MBA programme is viewed in a positive perspective in terms of reaching their goals and reducing the unemployment rate among management graduates. In this connection, the present study specifically aimed at critically examining the Course Contents of the Business Communication course for MBA programme in select institutions of Andhra Pradesh. Structured questionnaire has been administered to major stakeholders (i.e. students and faculty) and HR personnel to collect data which is further analyzed both quantitatively and qualitatively. Using the descriptive analysis and frequency distribution method, the results and viable recommendations are provided to the respective university officials to customize the course contents of Business Communication course as per the students’ and industry needs.
Segmentation and Detection of Brain Tumor by using Machine Learning
Authors:   Department of Computer Science & Engineering, Kamla Nehru Institute of Technology, Sultanpur, India., Arya Priyanka , Mahapatra Satyasundara ,   Department of Computer Science and Engineering, Pranveer Singh Institute of Technology, Kanpur, India., Malviya Dr. Anil Kumar ,   Department of Computer Science & Engineering, Kamla Nehru Institute of Technology, Sultanpur, India.
Published: December 2019

The segmentation and detection of brain pathologies in medical images is an indispensible step. This helps the radiologist to diagnose a variety of brain deformity and helps in the set up for a suitable treatment. Magnetic Resonance Imaging (MRI) plays a significant character in the research area of neuroscience. The proposed work is a study and probing of different classification techniques used for automated detection and segmentation of brain tumor from MRI in the field of machine learning. This paper try to present the feature extraction from raw MRI and fed the same to four classifier named as, Support Vector Machine (SVM), Decision Tree (DT), k-Nearest Neighbors (KNN), and Artificial Neural Network (ANN). This mechanism was done in various stages for Computer Aided Detection System. In the preliminary stage the pre-processing and post-processing of MR image enhancement is done. This was done as the processed image is more likely suitable for the analysis. Then the k-means clustering is used to sectioning the MRI by applied mean gray level method. In the subsequent stage, statistical feature analysis were done, the features were computed using Haralick’s equation for feature based on the Gray Level Co-occurrence Matrix. Feature chosen dependent on tumor region, location, periphery, and color from the sectioned image is then classified by applying the classification techniques. In the third stage SVM, DT, ANN, and KNN classifiers were used for diagnoses. The performances of the classifiers are tested and evaluated successfully.
A New Method to Estimate Skew Angle in Printed and Historical Document Images
Authors:   Research Scholar, Dept. of Electronics and Communication, Adichunchangiri Institute of Technology, Chickmagalore, India., K L* Banumathi , Chandra A P Jagadeesh ,   Professor, Dept. of Electronics and Communication, Adichunchangiri Institute of Technology, Chickmagalore, India.
Published: December 2019

In this paper, a new approach to assess the skew angle for scanned/printed documents and historical document images has been proposed. This is substantial for an automatic document processing system (as text and image segmentation) to avert errors in auxiliary stages. The proposed tactic is based on the statistical analysis of the slope of the connected lines in the document. The proposed technique detects skew and corrects it by initial letter (X1, Y1+200) from left margin of the resized (800X800) image and (X1+200, Y1) from top margin. Final letter (X2, Y2-200) and (X2-200, Y2) were chosen from right and bottom margins of the same image. The skew angle estimation is done for standard skewed dataset and effective correction of the same is performed with minimum errors.
The Effect of B2B SERVQUAL on PMC Performance: The Mediating Role of Top Management Support in UAE Executive Council
Authors:   Faculty of Business and Accountancy, Lincoln University College (LUC), Selangor, Malaysia, Alghfeli* Abdulla Hamad Saif Mohammed , Khalifa Gamal S. A. ,   Faculty of Tourism and Hotels, Fayoum University, Egypt, Ameen Ali ,   Faculty of Business and Accountancy, Lincoln University College (LUC), Selangor, Malaysia, Ghosh Abjit ,   Faculty of Business and Accountancy, Lincoln University College (LUC), Selangor, Malaysia
Published: December 2019

The purpose of the study is to examine the relationships between B2B SERVQUAL, top management support and project management consultant performance in United Arab Emirates executive council. This followed the quantitative research design as developed self-administrative questionnaire to collect data from UAE executive council staff. This study revealed the findings as follows: (1) B2B SERVQUAL significantly predicts PMC performance and top management support; (2) top management support significantly mediates between B2B SERVQUAL and PMC performance; (3) finally, top management support positive and significantly effects on PMC performance.
Does Electronic word-of-mouth (eWOM) on Social Media leads to Information Adoption? Empirical Evidence from the Emerging Markets!
Authors:   Azman Hashim International Business School, Universiti Teknologi Malaysia., Khwaja* Muddasar Ghani , Jusoh Prof. Dr. Ahmad ,   Azman Hashim International Business School, Universiti Teknologi Malaysia, MD Nor Prof. Dr. Khalil ,   Azman Hashim International Business School, Universiti Teknologi Malaysia.
Published: December 2019

With the amplification in online retailing, electronic word-of-mouth (eWOM) is reckoned to be one of the most influential factors in consumers online purchase behaviours. Prior studies have emphasized on determining the effects of eWOM using discussion forums, shopping websites, consumer review websites and blogs as the platforms; but the current study has focused to investigate eWOM effects in the social media context. Congruently, before the purchase intentions and consumer decision making endeavours are executed, it is necessary to investigate the propensity of information being adopted by the consumers. In this regard, the study focused on how eWOM has been making an impact on the information adoption process of consumers. Sequential mediation effects of perceived risk, argument quality, information usefulness, and trust have been determined among eWOM and information adoption. The data was collected from 346 online shoppers using non-probability convenience sampling technique. Structural Equation Modelling on Mplus software was conducted for substantiating causality among constructs. Results attained affirmed the established theoretical relationships.
Impact of Employee Morale on Organizational Success
Authors:   PESITM, Shivamogga-.Karanataka India, Mallik* Dr(Hc).D.M.Arvind , Mallik D.M. Lakhsmi ,   Post Graduate Studies in Social Work, Karnataka University Dharwad, Karnataka, India, Alumni Keerthi D S ,   PESITM, Shivamogga-577201.Karanataka. India.
Published: December 2019

Morale Is An Employee’s Attitude Toward His Or Her Job, Employer, And Colleagues. Employee Morale As The Psychological State With Respect To Satisfaction, Confidence And Resolve; The Attitude Of An Individual Or Group Of Employees, Resulting In Courage, Devotion And Discipline; Level Of Fulfillment One Has With Intrinsic Work Aspects, Such As Variety And Challenge, Feedback And Learning. Morale Is Essentially An In General Attitude Of An Individual Or Group Towards All Aspects Of Their Work Like The Company, The Job, The Supervisors, Fellow Workers, Working Conditions To Which They Must Take Pride And Devote Towards Their Effective Time In Business Methodology Used For This Is Study Is Descriptive In Nature And Structured Questionnaire Was Used Which Has Been Distributed To 100 Employees, Convenience Sampling Method Was Used To Survey The Employee Morale. The Result From The Study Explains That The Morale Is The Psychological Factor Which Results In Positive Behavior Of The Employees And The Positive Behavior Results Effective Performance, To Drive Their Organizations To Peak Performance Managers And Supervisors Must Put Out Front The Human Face Of Their Organization.
Economic Empowerment of Coastal Society through Entrepreneurship Based on Local Economic In a Southern Cross Area of the Province of East Java
Authors:   Lecturer, Universtity Of Merdeka Malang, Malang, Indonesia., Supanto* Fajar , Astuti Widji ,   Lecturer, Universtity Of Merdeka Malang, Malang, Indonesia
Published: December 2019

The southern coast of East Java was a country with mountain’s contour. While the Southern cross area built up a sizable economic potential, its use would depend greatly on society, local governments, and other stakeholders in their ability to take advantage of that opportunity. This research explored the local potencies in a southbond crossing area of the province of East Java which could be developed in order to boost economic value for community, and explored contributing factors (Strength and opportunity) and barricade factors (Weakness and Obstacle) in entrepreneurial development of society. Moreover, this practical research contribution was strategic activity programs which were able to be executed to improve and develop the level of economic society in this area, effectiveness of its growth and factors affecting its development , and development needs. The economic potencies which could be developed in this area were tourism sector, especially ancient tourism. furthermore, if we considered livehood pattern, the dominant sector was agriculture. The potency of industry sector which was able to developed was small and medium micro-businesses such as culinary based on local potency and home-made industry. The Private economic pontential was home-made and cooperative industries. Another economic potential supporting the development of local economic on this research area is village corporations and women cooperative.
Auto Encoder and Deep Auto Encoders Based Deep Learning on Medical Data
Authors:   Assistant Professor, Department of computer Appli.,,L.N.Government College,Ponneri, devi Mrs.R.Subathra , Rama DR.N. ,   Associate Professor , Department of Comp. Science, Presidency college,Chennai.,Tamilnadu, India.
Published: December 2019

In rapid growth of medical informatics, patient data need to be organized and used for medical diagnosis and other uses such as disease prediction and drug discovery. There are many more traditional methods used for text based information such as K-NN, K-Means and other clustering algorithms, but image based medical data (or) signals based medical data is needed. So there is a need of new approaches for efficient classification and knowledge generation process. Artificial neural network based methods are mostly suited for deep learning, since there are many more approaches available in artificial neural networks. Deep learning and Machine learning techniques requires efficient pattern or feature extraction and pattern identification. Auto encoders and deep auto encoders works based on artificial neural networks and most suitable multimodal data feature extraction and identification. In this paper we have to show deep learning methods such as auto encoder and deep auto encoders for classifying multimodal medical data.
Prediction Model for Occupational Incidents in Chemical and Gas Industries
Authors:   Research Scholar, PG and Research Department of Computer Science and Applications, Vivekanandha College of Arts and Science, TN, India., Balasubramanian* Ganapathy Subramaniam , Ramaprabha Dr. T. ,   PG and Research Department of Computer Sciences and Applications, Vivekanandha College of Arts and Science, Tiruchengode, TN, India.
Published: December 2019

Understanding occupational incidents is one of the important measures in workplace safety strategy. Analyzing the trends of the occupational incident data helps to identify the potential pain points and helps to reduce the loss. Optimizing the Machine Learning algorithms is a relatively new trend to fit the prediction model and algorithms in the right place to support human beneficial factors. The aim of this research is to build a prediction model to identify the occupational incidents in chemical and gas industries. This paper describes the architecture and approach of building and implementing the prediction model to predict the cause of the incident which can be used as a key index for achieving industrial safety in specific to chemical and gas industries. The implementation of the scoring algorithm coupled with prediction model should bring unbiased data to obtain logical conclusion. The prediction model has been trained against FACTS (Failure and Accidents Technical information system) is an incidents database which have 25,700 chemical industrial incidents with accident descriptions for the years span from 2004 to 2014. Inspection data and sensor logs should be fed on top of the trained dataset to verify and validate the implementation. The outcome of the implementation provides insight towards the understanding of the patterns, classifications, and also contributes to an enhanced understanding of quantitative and qualitative analytics. Cutting edge cloud-based technology opens up the gate to process the continuous in-streaming data, process it and output the desired result in real-time. The primary technology stack used in this architecture is Apache Kafka, Apache Spark Streaming, KSQL, Data frames, and AWS Lambda functions. Lambda functions are used to implement the scoring algorithm and prediction algorithm to write out the results back to AWS S3 buckets. Proof of concept implementation of the prediction model helps the industries to see through the incidents and will layout the base platform for the various safety-related implementations which always benefits the workplace's reputation, growth, and have less attrition in human resources.
Modelling & Position Control for Electro-Hydraulic System
Authors:   Department of Electrical and Electronics, University of Petroleum and Energy Studies (UPES), Dehradun (UK), India., C S* Meera , Gupta Mukul Kumar ,   Department of Electrical and Electronics, University of Petroleum and Energy Studies (UPES), Dehradun (UK), India.
Published: December 2019

Electro-hydraulic systems (EHS) are widely used in industrial applications due to the high-power density and accuracy. However, EHS are highly nonlinear which makes its modelling and control aspects a complex process. In this paper, we present the modelling and position control for an electro-hydraulic system (EHS). The mathematical modelling is carried out considering the non-linearities like friction, discharge coefficient and load mass present in the system. A back-stepping control scheme is developed for maintaining the accuracy in the position control. The closed-loop stability of the proposed control system is analyzed with Lyapunov’s theory. The performance of the control system under the effect of bounded external uncertainties is validated with simulation study. The study indicates that the proposed controller gives an effective motion control in presence of the system uncertainties.
Effect of Steel Bracing in Progressive Collapse of Multi Storey RC Buildings
Authors:   Master’s Student, Structural Engineering, Anurag Group of Institutions (An Autonomous Institution), Venkatapur, Hyderabad, Telangana, India, Khan* Ifteqhar Ahmed , Narender Dr.B. ,   Associate Professor, Structural Engineering, Anurag Group of Institutions (An Autonomous Institution), Venkatapur, Hyderabad, Telangana, India.
Published: December 2019

Rapid increase in manmade and natural disasters can lead to structural instability which triggers the partial or complete collapse of the building. These manmade disasters include gas cylinder explosion or terrorist attack or instant removal of the primary structural element which leads to the progressive collapse of the building. To avoid the progressive collapse of building due to man-made disasters, incorporate the mechanism which resists the man-made disaster while the design for existing or newly constructing building. In this paper, an attempt is made to understand the effect of with and without providing steel bracing at various positions column removal in multi-storey building one at a time as per General Service Administration and Unified facilities criteria codes. The propagation of progressive collapse with and without the effect of steel bracing is studied in this paper. A seven-storey RC building is modelled and analysed for various column removal scenarios in SAP 2000 software. The Loads are applied according to General Service administration and Unified facilities criteria guidelines, column removal positions namely centre, edge and corner column removal at ground floor are also considered from guidelines. The three scenarios are then analysed individually as a bare frame, bare frame with steel bracing in the wall and bare frame with steel bracing in the slab. Push down analysis is carried out on models and results of mode shapes, time periods, force Vs displacement curves, plastic hinge deformation are discussed. From results, it is observed that wall bracings have better performance in all three and can help in arresting the progressive collapse from spreading throughout the building.
The Innovative Technology for Modeling Management Business Process of the Enterprise
Authors:   Department of Management in Construction, Kyiv National University of Construction and Architecture, Kyiv, Ukraine., Ryzhakova* Galyna , Ryzhakov Dmytro ,   Department of Economics in the building industry. Kyiv National University of Construction and Architecture, Kyiv, Ukraine., Petrukha Serhiy ,   Department of Management in Construction, Kyiv National University of Construction and Architecture, Kyiv, Ukraine., Ishchenko Tetiana ,   Department of Management in Construction, Kyiv National University of Construction and Architecture, Kyiv, Ukraine., Honcharenko* Tetyana ,   Department of Information Technology, Kyiv National University of Construction and Architecture, Kyiv, Ukraine.
Published: December 2019

The article presents recent innovative technology for modeling business processes of enterprises based on process management. The paper considers the creation and justification of the updated methodological and analytical tools for assessing, selecting and regulating the production system of administration of an enterprise project portfolio in a single operating management system. The application of the process approach is based on a comprehensive, systematic review of the enterprise as a set of processes, the development of a process management system using the principles of ISO 9000: 2000. The new process approach is proposed that allows excluding routine operations from the actions of employees, increasing the speed of employee interaction, effectively optimizing existing business processes, and quickly rebuilding the enterprise’s business processes in response to significant changes in business conditions. The work identifies executable business processes, proposes a new approach to modeling the business processes of an enterprise, gives examples of problems associated with the new approach, and suggests possible ways to solve them. Criteria for the results of simulated business processes are defined that allow linking the target indicators of a balanced scorecard of the enterprise with the established results of business processes. It is proved that the use of this recent innovative technology for solving scientific and practical problems of enterprise management significantly expands and deepens the possibilities of economic analysis in the process of solving problematic situations and makes management decisions more grounded and effective.
Competency and Work Satisfaction, and Its Implications on Employee Performance National Land Agency of the Republic Of Indonesia
Authors:   Ph.D. Student of Universitas Syiah Kuala, Banda Aceh, Indonesia. Head of National Land Agency, Indonesia,, YULIADI  , AZIS Nasir ,   Professor, Ph. D in Faculty of Economics and Business of Universitas Syiah Kuala, Banda Aceh, Indonesia,, ADAM* Muhammad ,   Professor, Ph. D in Faculty of Economics and Business of Universitas Syiah Kuala, Banda Aceh, Indonesia, YUNUS Mukhlis ,   Ph. D in Faculty of Economics and Business of Universitas Syiah Kuala, Banda Aceh, Indonesia,, TAHIR* Rusdin ,   Ph.D. of Business Administration, Universitas Padjadjaran, Bandung, Indonesia
Published: December 2019

Civil Servants (ASN) is the basis for implementing the government system in Indonesia, ASN's existence is essentially the backbone of the government in carrying out national development. Therefore ASN is expected to be able to mobilize and launch government tasks in development, including serving the community. This study reveals competence, and job satisfaction and its implications for employee performance. Survey of the perceptions of 376 employees of the Ministry of Agrarian Affairs and Spatial Planning / National Land Agency of the Republic of Indonesia. Data analysis was performed with Weighted Mean Score and Structural Equation Modeling. The results showed that: (1) Competence, Job Satisfaction and Performance of Civil Servants of the National Land Agency of the Republic of Indonesia showed good conditions, but not optimal; (2) Competency and job satisfaction of employees simultaneously and partially have positive and significant implications for the Performance of Civil Servants of the Ministry of Agrarian Affairs and Spatial Planning / National Land Agency of the Republic of Indonesia.
KUALITAS HIDUP ANAK DENGAN ASMA DI RSUD DR. SOEKARDJO KOTA TASIKMALAYA DAN RSUD KABUPATEN CIAMIS
Authors: Handayani Hani , Setiawan Asep
Published: December 2019

Asthma is a disease that can cause morbidity and mortality in children. The incidence, severity lavel of disease associated with asthma has increased. The prevalence in the world is estimated of 10% occured in children. The prevalence in Regional public hospitals of dr. Soekardjo Tasikmalaya is estimated of 5% whereas in Regional Public hospital Ciamis is estimated of 20%.  Asthma in children  is a problem for patients and families, because it affects the various specific aspects related to the quality of life. This research aims to know the quality of life of children with asthma in Regional Public Hospital of dr. Soekardjo Tasikmalaya and Ciamis. This research is analytic descriptive research. The sample in this research were children aged 7-18 years with asthma who visited the outpatient service with a total of 72 respondents with consecutive sampling techniques. The Generic version of the PedsQl 4.0 Core Scale is used to measure quality of life. Data analysis univariate analysis is used by using a frequency distribution. The results showed that most of respondents have a quality of life that is at risk as much as 59 people (81.9%). Based on the results, it recommended for more information and education by health professional personnel to patients and their families about prevention and management of asthma. Keywords: Asthma, Quality of life of children
Efektivitas Air Rebusan Daun Sirih Merah terhadap Penurunan Kadar Gula Darah pada Pasien Diabetes Melitus di Wilayah Kerja Puskesmas Saling 2018
Authors: Listiana Devi , Effendi Effendi , Indriati Bela
Published: December 2019

Diabetes mellitus is a chronic disease that occurs due to the pancreas not being able to produce enough insulin or when the body cannot effectively use the insulin. The purpose of this study was to study the effectiveness of the provision of red betel leaf boiled water on reducing blood sugar levels of Diabetes Mellitus patients in the Saling Puskesmas District of Four Lawang in 2018. The design of this study was an experimental Quasy using The One Group Pretest - Postest Design, technique data collection using primary and secondary data. The population of this study were all Diabetes Mellitus patients in the Saling Community Health Center in July-August 2018, amounting to 16 people, sampling was done by accidental sampling. The results of the study, from 16 patients with diabetes mellitus there are 9 people (56.2%) with blood sugar levels less than 200 mg / dl. Wilcoxon Sign Rank test results obtained value Z = -3.517 with p = 0.000 0.05 means significant. So the two variables have different medians, there are differences in the GDS levels of Diabetes Mellitus patients before and after administration of red betel leaf decoction water. Conclusion, Red betel leaf decoction water is significantly effective in reducing blood sugar levels in patients with diabetes mellitus. It is expected that Puskesmas staff can increase public knowledge by counseling about red betel leaves as a Non-Pharmacological drug for patients with Diabetes Mellitus who do not experience complications. Keywords: Red Betel Leaf Decoction Water, Diabetes Mellitus, Blood Sugar Levels
KEMAMPUAN BERBICARA SISWA MTS HIDAYATUL MUSTAQIM BALIKPAPAN MELALUI KEGIATAN MENJADI PEMBAWA ACARA
Authors: Rahayu Duwi , Maryatin Maryatin , Retnowaty Retnowaty
Published: December 2019

Penelitian ini bertujuan untuk mengetahui kemampuan berbicara siswa kelas VIII MTs Hidayatul Mustaqim Balikpapan. Penelitian ini merupakan penelitian kualitatif yang bermaksud untuk memahami fenomena tentang apa yang dialami oleh subjek penelitian dengan cara mendeskripsikan dalam bentuk kata-kata dan bahasa. Subjek pada penelitian ini yaitu siswa kelas VIII MTs Hidayatul Mustaqim Balikpapan berjumlah 41 siswa. Data diambil untuk mengetahui kemampuan berbicara siswa kelas VIII dengan menggunakan observasi, penilaian tes, dan wawancara. Teknik analisis data yang diguanakan adalah deskriptif yang bertujuan untuk memberikan gambaran realita yang ada tentang kemampuan berbicara siswa kelas VIII MTs Hidayatul Mustaqim Balikpapan. Hasil penelitian ini menunjukkan bahwa kemampuan berbicara siswa kelas VIII MTs Hidayatul Mustaqim Balikpapan termasuk ke dalam kategori baik yaitu sebanyak 20 siswa dari 41 siswa yang terdiri dari 21 siswa perempuan dan 20 siswa laki-laki, atau sebesar 48.78%. Kemampuan ini sudah baik untuk ukuran siswa kelas VIII MTs yang sedang mengalami perubahan masa-masa remaja. Jika ditingkatkan lagi dengan pembelajaran bahasa Indonesia yang rutin dan terarah, maka kemampuan berbicara siswa akan meningkat dan masuk kategori sangat baik.
PENGARUH PENGGUNAAN MODEL DEBAT (DEBATE) TERHADAP KEMAMPUAN MENULIS PARAGRAF ARGUMENTASI PADA SISWA KELAS X SMK SWASTA SULTAN ISKANDAR MUDA TAHUN PELAJARAN 2018/2019
Authors: Panjaitan Ayu Trigustina , Annisa Annisa , Setiawan Dani Sukma Agus
Published: December 2019

Tujuan yang ingin dicapai dalam penelitian ini adalah untuk mengetahui pengaruh penggunaan model debat (debate) terhadap kemampuan menulis paragraf argumentasi siswa kelas X SMK Swasta Sultan Iskandar Muda Tahun Pelajaran 2018/2019. Penelitian ini menggunakan metode kuantitatif Eksperimen dengan desain two group post-test design only. Adapun populasi dalam penelitian ini adalah seluruh siswa kelas X SMK Swasta Sultan Iskandar Muda yang berjumlah 102 siswa. Sampel Penelitian terdiri dari dua kelas, satu kelas sebagai kelas kontrol yaitu kelas X-MM 1 sejumlah 31 siswa dan satu kelas sebagai kelompok eksperimen yaitu X-MM 2 sejumlah 31 siswa. Pengambilan sampel ini dengan random sampling ( acak kelas ). Teknik pengumpulan data dengan menggunakan tes, yaitu post-test. Proses pengumpulan data dengan cara menugaskan siswa menulis Paragraf Argumentasi. Sebelum dilakukan analisis data, terlebih dahulu dilakukan uji normalitas dan uji homogenitas yang menunjukkan bahwa skor post-test berdistribusi normal dan homogen. Teknik analisis data adalah uji-t. Hasil penelitian menunjukan adanya perbedaan kemampuan menulis paragraf argumentasi pada siswa kelas X SMK Swasta Sultan Iskandar Muda dengan penggunaan model debat (debate) dan tanpa penggunaan model debat (debate. Perbedaan tersebut ditunjukan oleh hasil uji-t yaitu -ttabel = -2,00 < thitung = 5,83 > ttabel = 2,00, maka hipotesis nol (H0) ditolak dan Hipotesis alternatif (Ha) diterima. Hal ini dibuktikan bahwa terdapat pengaruh positif penggunaan model debat (debate) terhadap kemampuan menulis paragraf argumentasi pada siswa kelas X SMK Swasta Sultan Iskandar Muda Tahun Pelajaran 2018/2019.
Efecto de los medicamentos antiepilépticos en el metabolismo de la vitamina D y el impacto negativo relacionado al déficit
Authors: Ramírez-Jiménez Juan J. , Alfaro-Velásquez Juan M.
Published: December 2019

La alteración en el metabolismo de la vitamina D ha ido creciendo en importancia hasta considerarse un problema de salud pública. Cada vez son más frecuentes las etiologías relacionadas al déficit de la vitamina D y con consecuencias a largo plazo, lo que hace necesario conocer no sólo las bases moleculares del metabolismo de la vitamina D, con especial atención en la participación de las enzimas de la familia del citocromo P450, sino la descripción de las vías metabólicas, la interacción con el receptor específico, las acciones genómicas y no genómicas, sus resultados en el metabolismo óseo y las acciones extra esqueléticas. Además, la acción directa de los antiepilépticos sobre las enzimas de la citocromo P450 y su efecto negativo sobre los niveles de la vitamina D y el metabolismo óseo. Esta revisión pretende brindar las bases que permitan extrapolar estos conceptos a la práctica clínica e identificar los pacientes con riesgo de hipovitaminosis D debido al uso crónico de antiepilépticos que requieren una conducta terapéutica. Es necesario tener presente que en la actualidad no hay un protocolo clínico universal sobre el seguimiento de estos pacientes incluso con la mejoría en el acceso a recursos diagnósticos.
Epidemiología de la candidemia y sensibilidad in vitro frente a azoles, anfotericina B y caspofungina en una institución de salud de Valledupar, Colombia
Authors: Vides-Peña Carmen A. , Bolaño-Ardila Nalleth D. , Vides-Peña Máryuris V. , Córdoba Susana B.
Published: December 2019

Introducción: la candidemia es una enfermedad grave, con elevada morbi-mortalidad y cuyo tratamiento no siempre conduce a la cura. La distribución de especies de Candida y la sensibilidad antifúngica varía según el área geográfica, incluso entre centros de salud de una misma región. Objetivo: establecer la distribución de especies de Candida y su sensibilidad in vitro frente a diferentes antifúngicos. Materiales y métodos: se realizó un estudio descriptivo, prospectivo y transversal entre noviembre de 2013 y mayo de 2014 de casos de candidemias en una institución de salud de Valledupar, Colombia. Las Concentraciones Inhibitorias Mínimas (CIM) se determinaron según el protocolo estándar M27-A3-S4. Resultados: Se estudiaron 40 aislados clínicos de Candida spp. obtenidos de sangre (97,5%) y médula ósea (2,5%). Del total, 15 (37,5%) fueron caracterizados como Candida tropicalis, 13 (32,5%) del Complejo Candida albicans, cinco (12,5%) del Complejo Candida glabrata, tres (7,5%) como Candida guilliermondii, tres (7,5%) del Complejo Candida parapsilosis y uno (2,5%) como Candida krusei. No se observó resistencia a la anfotericina B ni al voriconazol en ninguno de los aislados, pero sí al fluconazol en uno (6,6%) de Candida tropicalis y uno (33,3%) del Complejo Candida parapsilosis y a la caspofungina en el aislado de Candida krusei y en uno (20%) del Complejo Candida glabrata. Conclusiones: la epidemiología local de las levaduras causantes de candidemia mostró mayor prevalencia de especies no-albicans, entre las que se encontró resistencia a los antifúngicos evaluados, lo que es relevante para la elección e instauración de un tratamiento eficaz.
Neuropéptidos en el encéfalo humano
Authors: Duque-Díaz Ewing R. , Rita-Gáfaro Claudia G. , Bermúdez-Echeverry Marcela
Published: December 2019

Los estudios en el encéfalo humano se han realizado con el fin de responder a varias preguntas de carácter científico relacionados con la neuroanatomía, neurofisiología, neurofarmacología, la neurología y la conducta. El encéfalo es el órgano en el que se encuentra la regulación de los reflejos y los mecanismos inconscientes como la transmisión del dolor, los cardiovasculares, los respiratorios, entre otros. Estos mecanismos están mediados por sustancias químicas tales como los neuropéptidos, que son cadenas cortas de aminoácidos que se han encontrado ampliamente distribuidos en el sistema nervioso central y periférico, además de ejercer acciones fisiológicas actuando como neurotransmisores, neuromoduladores (acciones paracrinas y autocrinas) y neurohormonas. En los últimos treinta años se ha incrementado el conocimiento sobre la distribución y función de los neuropéptidos en el sistema nervioso central de mamíferos (ratas, gatos, perros, alpacas, primates y humanos). Así, el objetivo de esta revisión se dirige a describir los datos más relevantes disponibles sobre los neuropéptidos en el encéfalo humano. Para ello se revisan aspectos importantes de los neuropéptidos en el encéfalo humano como: a) La distribución, b) Las relaciones anatómicas, c) Las funciones fisiológicas, d) La coexistencia, y e) Las investigaciones futuras a realizar.