bluuebunny/crossref_metadata_2025 huggingface dataset:
Index Assignment Optimization for Digital Communication Systems Using M-ary Modulation Schemes
Authors: Tuan Tran Ngoc , Trung Nguyen Quoc
Published: September 2020

Channel-optimized Index Assignment (IA)  of source  codewords  is a  simple  but  effective  approach  of improving  the  error  resilience  of  the  communication systems. Although IA is a type of Joint Source Channel Coding  (JSCC),  it  does  not  intervene  with  the  source codec design. So, in addition to the fact that this method can  be  used  in  designing  systems  effectively,  it  can  be also applied to the existing system. However, these prior IA  methods  have  usually  been  based  on  assuming  a Binary  Symmetric  Channel  (BSC)  and/or  single-bit error in the codeword. These assumptions are only valid when the  modulation  is binary or the  noise level in  the channel is low. In this paper, we study the IA problem in  a  more  general  case in  which  the  modulation  is  2Dsignalling M-ary  (M-ary  PSK, M-ary  QAM),  proposing the  method  to  optimize  IA  for  this  case.  Some simulations results based on this method are also given
A Formal Method for Specifying The Interface of Components in Real-time Concurrent Systems
Authors: Chieu Do Van
Published: September 2020

In  this  paper,  we  propose  a  method  for specifying  the  interface  of  components  in  real-time concurrent  systems.  The  key  idea  of  the  proposed method  is  to  extend  Interface-based  design  with  using timed  trace  theory.  We  propose  a  technique  to  specify the interaction protocols of component interfaces by the languages  of  timed  words  augmented  with  the concurrency, i.e. timed trace languages. In addition, we propose a class of automata that can recognize a class of timed trace languages called timed concurrent interface automata.  We  give  an  algorithm  for  the  refinement, component  composition,  and  show  that  our  method possesses two  important  features  of  interface  automata theory  which  are  incremental  design  and  independent implementation.  Those  results  play  a  key  role  in  the specification  and  verification  of  real-time  concurrent systems
A Novel Location Prediction Algorithm of Mobile Users For Cellular Networks
Authors: Duc Giang Minh , Manh Le , Tuan Do Hong
Published: September 2020

Predicting the location of a mobile user is one of  the  important  issues  in  mobile  computing  systems. Applications of the location prediction include adjusting the bandwidth of the mobile network, the location based services  (LSB),  smart  handover,  etc.  However,  the applications  require  the  execution  time  of  the  User Mobility  Patterns  Mining  (UMPMining)  algorithm  be instantaneous.  In  this  paper,  we  propose  a  new algorithm named Find_UMP for mining next location of a  mobile  user.  Our  algorithm  includes  two  phase  as follows.  In  the  first  phase  (Find_UMP_1),  we  make  to reduce the complexity of the UMPMining algorithm. In the second phase (Find_UMP_2), we perform to reduce the  number  of  transactions  of  the  paths  database. Results  of  our  experiments  show  that  our  proposed algorithm  outperforms  the  UMPMining  algorithm  in terms of the execution time.
«Monumenta Liturgica Beneventana»: Program badań nad średniowiecznymi rękopisami z południowych Włoch i Dalmacji
Authors: Reynolds Roger E.
Published: September 2020

Autor przedstawia pokrótce historię badań nad rękopisami „zapisanymi wyrazistym i pięknym południowowłoskim i dalmatyńskim pismem zwanym benewentańskim” wyjaśniając genezę programu badawczego „Monumenta Liturgica Beneventana” realizowanego przez Pontifical Institute of Medieval Studies w Toronto. Jednym z głównych jego celów było sprostowanie pomyłek we wcześniej przyjętych datacjach części rękopisów oraz zbadanie ponad 200 nieznanych dotąd przykładów pisma benewentańskiego, nieujętych w nowym, poprawionym i uzupełnionym wydaniu z 1980 r. klasycznego dzieła E.A. Lowe`a The Beneventan Script. Program obejmuje ponadto szereg innych celów, w tym: uzupełnianie zbiorów mikrofilmowych i fotograficznych Instytutu odnośnych rękopisów; opisanie wszystkich kodeksów liturgicznych pod względem kodykologicznym i paleograficznym; wprowadzanie transkrypcji tekstów liturgicznych do komputerowego repertorium Instytutu; przygotowanie ich krytycznych edycji oraz publikowanie wyników badań m.in. w ramach specjalnych podserii czasopisma „Medieval Studies” – „Miscellanea Beneventana” i „Parerga Beneventana”. Artykuł prezentuje stan realizacji celów założonych w programie „Monumenta Liturgica Beneventana”.
Heart rate variability in healthy volunteers
Authors: Liuzina Kseniya M. , Shinkevich Marina V.
Published: September 2020

The research results showed that the vegetative tone of the nervous system in different phases of the menstrual cycle is different. In accordance with changes in heart rate (HRV) indicators, we can talk about the predominance of tone of either the sympathetic or parasympathetic department of the autonomic nervous system in each phase of the cycle, to distinguish subgroups of students by the distribution of the tone of the autonomic nervous system during the cycle. It was possible to isolate those HRV indicators that were changed most synchronously (rhythmogram, histogram, and scatterogram indices). The spectrogram indices are distinguished by the highest asynchrony of changes; therefore, it is not very convenient to analyze changes during a cycle. Autocorrelation indicators reflect the relationship and the predominance of one of the circuits of heart rhythm regulation (central or autonomous). Despite the fact that a certain dynamic of changes can be traced, significant differences were noted only for some indicators in each of the groups. HRV indicators in accordance with the standards given in the literature should be clarified.
Age-dependent changes of neural functions under glucose metabolism disorders
Authors: Shadenko Viktoria N.
Published: September 2020

There is a brief review of literature data about relationship of violations glucose homeostasis and cognitive brain functions. A relationship was found between impaired glucose metabolism during the formation of insulin resistance (type 2 diabetes mellitus) with the changes observed in development of a number of neurodegenerative diseases (Alzheimer’s disease). It is provides information on the role of insulin and insulin receptors in metabolic processes, development of hyperglycemia and insulin resistance during ageing. The contribution of free radical mechanisms in development of cognitive impairment caused by metabolic glucose changes is also discussed.
Interannual dynamics of breeding bird assemblage within the Central Botanical Garden of the National Academy of Sciences of Belarus (Minsk)
Authors: Sakhvon Vital V. , Fedorynchik Karyna A.
Published: September 2020

We studied the dynamics of the composition and diversity of breeding bird assemblage within the Central Botanical Garden of the National Academy of Sciences of Belarus in Minsk during 2016–2019 and compared with census data from breeding seasons of 1982–1985 and 1991–1992. Total 86 species were recorded and the breeding was confirmed for 59 of them. The interannual dynamics of breeding density for 42 species is analysed. Overall bird densities varied from 2.03 pairs/ha to 8.76 pairs/ha during single year; 16 species (Fringilla coelebs, Erithacus rubecula, Turdus merula, T. philomelos, T. pilaris, Parus major, Cyanistes caeruleus, Sylvia atricapilla, S. borin, S. curruca, Phylloscopus sibilatrix, Ph. collybita, Ph. trochilus, Sturnus vulgaris, Pica pica and Columba palumbus) were shown to be the dominants in assemblage during these years. We found that there was increased in species richness (17 new breeding species appeared, 2 breeding species disappeared) and the overall breeding bird density (by almost 3– 4 times) since 1982. The main factors explaining the dynamics of some assemblage characteristics such as synurbization of some bird species and change in habitat structure are discussed.
Role of Development of Insurance Organizations in the Republic of Uzbekistan
Authors: Li Sh.
Published: September 2020

The article describes the existing problems in the preparation of financial reporting by insurance organizations in accordance with international standards and the ways of their overcoming, improvement of assessment of internal control in the financial statements of insurance organizations, important aspects of the improvement of the methodology for determining the significance and risk of an audit of financial statements, and also a three-step process of model analysis.
Improvement of the Audit of the Financial Reporting of Insurance Organizations
Authors: Temirkhanova M. , Ochilov I. , Li Sh.
Published: September 2020

The article describes the existing problems in the preparation of financial reporting by insurance organizations in accordance with international standards and the ways of their overcoming, improvement of assessment of internal control in the financial statements of insurance organizations, important aspects of the improvement of the methodology for determining the significance and risk of an audit of financial statements, and also a three-step process of model analysis.
Digital Legal Consciousness of the Company in the Context of the Legal Policy of the Kyrgyz Republic
Authors: Aidarbekova G. , Umetov K.
Published: September 2020

The article is devoted to the current global legal policy of the state on digitalization and increasing the digital legal awareness of citizens; disclosed the main content of the latest information and communication technologies, which will significantly change the public legal consciousness, which is collectively called ‘digitalization’. As a research task, the authors identified an attempt to assess certain aspects of the legal policy pursued by the Kyrgyz Republic on the digital transformation of society, the effectiveness of which, in the future, will increase the efficiency and transparency of the activities of state bodies and the digital legal consciousness of society. The object of the research was the public relations associated with the implementation of the state's legal policy to improve the digital legal awareness of society. The subject of the research is a set of norms governing the legal mechanism of the state's activity in the formation of digital legal consciousness and digital IT culture. The research methods represent a dialectical method of cognition of social and legal phenomena, logical and comparative legal. The authors came to the conclusion that the main goal of the ongoing state-wide events have a certain positive effect on the digitalization processes - reducing the human factor, corruption elements in the provision of public services to citizens, expanding the legal awareness of the population, which should result in social and legal activity, welfare, as well as the security and competitiveness of the state.
Objectives of the Penitentiary System: Correction, Resocialization, Retraining
Authors: Boltayev M. , Palvanov I.
Published: September 2020

The article discusses the problems of the general goals of the penitentiary system as a leading element of its activities, forms a system of goal setting principles and requirements that must meet these goals, and analyzes its compliance with the goals and penalties of the Penal Code. The lack of clear scientifically based goals of the penitentiary system opens up vast opportunities for their further study.
Selling to the ‘Mind’ of the Insurance Prospect: A Mind Genomics Cartography of Insurance for Home Project Contracts
Authors: Moskowitz Howard , Gere Attila
Published: September 2020

The paper introduces the science and process of Mind Genomics as a process by which to reveal the mind of prospects regarding the factors surrounding insurance, specifically insurance that the home contractor will complete the project satisfactorily. The objective is to uncover the existence and nature of groups of people sharing the same point of view about what they want in such insurance. The Mind Genomics processes works through experimental design, presenting respondents with vignettes, combinations of messages about insurance, totally different combinations for each respondent. The subsequent analysis by regression reveals which messages make the respondent feel comfortable with the project and the insurance, versus which messages make the respondent feel insecure, and ready to drop the project. The data suggest three mind-sets of people; project-focused, contractor-focused, and legal/finance-focused, respectively, responding to different aspects of the contracting relationship. We introduce the PVI, personal viewpoint identifier, to assign a new person to one of these three mind-sets, to aid sales and client service.
Round Robin Based Efficient Resource Allocation and Utilization in an Organization
Authors: M Sumathi , B Niranjana , C Akshaya , M Ajitha , M Bhavadharanee
Published: September 2020

In an organization, resource allocation to a request is a complex task. Traditionally, resource allocation is done through manually with high time consumption. Similarly, collision is occurring for allocating a single resource to multiple requests. Thus, leads to complex problems and slow-down the working process. The existing resource allocation technique, allocate resources continuously to a specific request and omit another request. This kind of allocation technique also leads to lots of critical issues. That is the non-allocated process never gets a resource. To overcome these issues, the Round Robin based Resource allocation and Utilization technique is proposed in this work. The Round Robin technique allocates resources to the request in an efficient with equal priority. Similarly, the proposed technique reduces collision and takes less time for mapping a resource with a request. The experimental results shows improved accuracy than the traditional resource allocation technique.
IoT Based Smart Security and Safety System for Women and Children
Authors: K Srinivasan , T Navaneetha , R Nivetha , K Mithun Sugadev
Published: September 2020

Now a days, women and children are facing various issues like sexual assaults. Such violence will definitely have huge impact on the lives of victim. It also affects their health and their psychological balance. These kinds of violence keep on increasing day by day. Even school children are kidnapped and sexually abused. We are living in a society where a nine months old girl child doesn’t have security, the child was kidnapped, raped and then murdered. On witnessing those violations against women, its impulses us to do something for women and children safety. So, in this project we have planned to propose a device which will act as a tool to provide security and ensures the safety of the women and the children. Microcontroller, GSM and GPS module are used to send notifications and current location of women to various mobile numbers in their contact. In addition, this project will also act as a safety measure which will stun the opposition for few seconds. This project will help us to rescue many women and children from those fiendish in the society.
Pengaruh Kinerja Keuangan Terhadap Return Saham Pada Beberapa Industri Manufaktur yang Terdaftar di Bursa Efek Indonesia
Authors: Kurniaty Kurniaty , Noor Aris Setia
Published: September 2020

This study aims to determine the effect of financial performance on stock returns in the manufacturing companies in the consumer goods industry sector which are listed on the Indonesia Stock Exchange from 2014 to 2016 simultaneously or partially. The variables used in this study are Return On Assets (X1), Return On Equity (X2), Economic Value Added (X3) as the independent variable and Stock return as the dependent variable.Samples were taken as many as 20 manufacturing industry companies listed on the Indonesia Stock Exchange (IDX) during 2014 to 2016. The data used are financial reports from each sample company which are published on the website ww.idx.co.id. the data analysis method used in this study is a quantitative method by testing classic assumptions, and statistical analysis is multiple linear regression analysis. The sampling method used was purposive sampling.
Pengaruh Motivasi terhadap Kinerja Karyawan PT. PLN (Persero) Tamiang Layang
Authors: Marliani Gusti , Sugiarto Toto , Varent Grery
Published: September 2020

This study aims to determine the effect of motivation on employee performance of PT. PLN (Persero) Tamiang Layang.The variables in this study consisted of independent variables namely Motivationor X  variable and dependent variable namely Employee Performance or Y variable. The population in this study consistedof 48 peoplewith 11 people in managerialsectionand 37 people in non managerialsections. Samples were taken in non managerialsectionswith a total sampleof 30 people. Data obtainedthroughquestionnaires were analyzedandexaminedusingthe SPSS program.The resultsofthis study obtained a simpleregressionequationwiththe formula Y=36.306 + 0.036X wherethevalueof X ispositivewhichindicatesthatMotivation has a positiveeffectonEmployee Performance. Butthisisalsodeniedbyshowingthevalueoftcount = 0.200 greater>thanttable = 2.048 assumingthat H0isacceptedand Hais rejected which means that Motivationdoes not affect for employee performance.The coefficient of determination (r2) is 0.001 whichindicatesthattheindependentvariablenamelyMotivationaffectsthedependentvariableorEmployee Performance by 0.1% whiletheremaining 99.9% isinfluencedbyotherfactors not examined. Whichmeansthattheinfluenceofmotivationisonly a littleontheperformanceofemployeesof PT. PLN (Persero) Tamiang Layang.
Pengaruh Pemanfaatan Media Online Terhadap Minat Berwirausaha pada Mahasiswa (Studi Kasus di Sekolah Tinggi Multi Media “MMTC” Yogyakarta)
Authors: Chusumastuti Dhety
Published: September 2020

This study aims to determine the effect of Online Media Utilization on Entrepreneurial Interest in Students at STMM Yogyakarta. The sample in this study were 94 students at STMM Yogyakarta. Data was collected by survey method by giving a list of questions or questionnaires directly to the respondents. Data analysis techniques in this study used Simple Regression analysis, and t test which was operated through the SPSS program. The results showed that the use of online media had a positive and significant influence on entrepreneurial interest in students at STMM Yogyakarta.
Pengaruh Kepemilikan Saham, Keputusan Pendanaan, CSR dan Kinerja Keuangan Terhadap Nilai Perusahaan Jasa Konstruksi
Authors: Harsana Harsana , Yusniar Wulansari , Juniar Asrid
Published: September 2020

This study aims to examine and analyze the effect of Managerial Ownership (X1), Institutional Ownership (X2), Financing Decision (X3), CSR (X4) and Financial Performance (X5) as independent variables either partially or simultaneously on Firm Value (Y) as the dependent variable in the Construction Services companies Listed on the Stock Exchange in 2014 - 2018. The method of this research used secondary data from the annual report 2014 to 2018 period in the study sample as many as 10 companies. Assessment of the effect of independent variables on the dependent variable used a multiple linear regression analysis with SPSS Ver. 25. The results of this study concluded that there is a significant negative effect of managerial ownership and institutional ownership on firm value. The financing decision is a significant positive effect on firm value. Meanwhile, both CSR and financial performance has no significant effect on firm value. Simultaneously, the independent variables can sufficiently explain the variation value of the company with 58.8% coefficient of determination.
Leverage dan Kinerja Perusahaan dengan Ukuran Perusahaan sebagai Variabel Intervening
Authors: Fathoni Muhammad , Swandari Fifi
Published: September 2020

Penelitian ini bertujuan untuk menganalisis pengaruh antara leverage sebagai variabel independen terhadap kinerja perusahaan sebagai variabel dependen dengan ukuran perusahaan sebagai variabel intervening pada perusahaan manufaktur non migas yang terdapat di Bursa Efek Indonesia.Penelitian ini merupakan jenis penelitian kausalitas dengan pendekatan kuantitatif. Populasi yang digunakan dalam penelitian ini adalah seluruh perusahaan manufaktur non migas yang terdaftar di Bursa Efek Indonesia, adapun teknik pengambilan sampel menggunakan purposive sampling. Teknik analisis yang digunakan adalah analisis jalur (path analysis). Alat analisis menggunakan aplikasi SmartPLS dengan model evaluasi dapat dilakukan dengan menilai outer model dan inner model.Hasil penelitian menunjukkan bahwa terdapat pengaruh negatif dan signifikan antara rasio utang terhadap ROA sedangkan terdapat pengaruh positif dan signifikan antara rasio utang terhadap ROE. Rasio utang berpengaruh positif dan signifikan terhadap ukuran perusahaan. Ukuran perusahaan berpengaruh positif dan signifikan terhadap ROA dan tidak berpengaruh terhadap ROE. Ukuran perusahaan mampu memediasi secara penuh pengaruh antara rasio utang terhadap ROA.
Pengaruh Tingkat Kurs Rupiah, Harga Emas dan Harga Minyak terhadap Indeks LQ 45 Periode Maret 2013 – Juni 2016
Authors: Nugraha Muhammad Ikhwan
Published: September 2020

This research aimed to analyze the effects of some macroeconomic variables for the movement of LQ 45 Index. Those macroeconomic variables used among other things were rupiah exchange rate, gold price and oil price.The population of this research was LQ 45 Index in Indonesia Stock Exchange (BEI) from March 2013 to June 2016 and the independent variables in the same time period. The total samples, the same as the population, were 40 monthly data which were determined through a census method. The data were obtained from Indonesian Stock Exchange and other reputable websites. The data analysis was performed with the classical assumption and hypothesis testing by multiple regression.The results of this study showed that rupiah exchange rate and oil price had a significant effect towards LQ 45 Index, while gold price did not have a signifiant effect towards LQ 45 Index.
Length-Weight and Length-Length Relationships of the Levantine Barbel Luciobarbus pectoralis (Heckel, 1843) in Asi River, Turkey
Authors: ALAGÖZ ERGÜDEN Sibel
Published: September 2020

Length-weight and length-length relationships are very important in fish biology. These parameters can provide information on the stock condition and growth studies. In this study, we report the length-weight and length-length relationships for Luciobarbus pectoralis in the Southeastern Anatolia (Hatay, Turkey). A total of 125 (65 female and 60 male) specimens were captured from Asi River (Orontes River) basin using gill nets in September 2015 and March 2016. The total length and weight of both sexes varied from 15.5-38.0 cm and 35.0-855 g. The values of the exponent b of the length-weight relationships (LWRs) were 3.441 for females and 3.443 for males. The length-length relationship (LLRs) between the three-length measurements (TL-FL-SL) were highly correlated (R2>0.99, P<0.001). This study provides the first comprehensive description of LWRs and LLRs of L. pectoralis from the Asi River (Hatay, Turkey) according to their sexes. Besides new maximum length and weight are reported for L. pectoralis.
L1 Cognitive Skills Transfer in the Process of Learning L2 of Dependent Scripts
Authors: Dewi Utami , Sibarani Berlin , Sumarsih Sumarsih
Published: September 2020

Language transfer is one of the important areas in second language acquisition research. This study aims to describe the process of transfer L1, Bahasa Indonesia, cognitive skills to L2, English, cognitive skills of dependent scripts. Cognitive skills are the skills that support decoding, such as rapid automatized naming (RAN) and working memory (WM). This research was conducted with descriptive qualitative research design, with case study.Â  The subjects of the study were 15 students who speak Bahasa as the first language (L1) and learn English as the second language (L2). Bahasa and English are the language which have the same scripts, dependent scripts. The subjects were given the rapid automatized naming (RAN) test and working memory (WM) test. The data of this study was analyzed with two data analysis techniques, they were non-parametric statistics and qualitative data analysis. The finding of this study was that there was no significantly transfer of cognitive skills from L1, Bahasa, to L2, English. It can be seen from the process of transfer RAN and WM as the subskills, that most of the students made different errors both in L1 and L2 RAN and WM, and they have different levels of achievement in L1 and L2 cognitive skills.
Increasing Studentsâ€™ Motivation in Writing through Diving and Climbing Strategy
Authors: Minda Sri
Published: September 2020

This research aimed to find the effect of teaching strategy on the studentsâ€™ motivation in writing and the studentsâ€™ problems during the strategy implementation. Climbing and Diving was the strategy that was applied in this research. The design of the research is experimental. The first year students were taken as the population of the research. They are the Intensive language learning programme students in IAIN Padangsidimpuan. Questionnaire and interview were used to get the data. Likert scale was used in the questionnaire to score the studentsâ€™ responses. From the calculation using t-test, the t value = 0.756 is the t table Î± = 0.05. It means that the studentsâ€™ motivation in writing is significantly affected by Climbing and Diving strategy. During the implementation of the strategy, the students faced two dominant problems. They are time limitation and no specific pattern. The short time offered by this strategy does not give the students more chances to write and because of no pattern makes students lose control in writing.
Metodologías Cuantitativas 2: Sesgo de confusión y cómo controlar un confusor
Authors: Quispe Antonio M. , Alvarez-Valdivia María Gracia , Loli-Guevara Silvana
Published: September 2020

Identificar el sesgo de confusión y cómo controlarlo es uno de los desafíos metodológicos más importantes en el diseño de estudios que buscan identificar la causalidad. Este sesgo está presente en cualquier análisis de la asociación entre una exposición y un resultado de interés, una asociación que puede estar sesgada o no por una tercera variable llamada confusor. Podemos diagnosticar un confusor en todos los casos en los que este crea una asociación espuria entre una variable de exposición o variable independiente y la variable de resultado o variable dependiente. Para controlar el sesgo de confusión, podemos usar diferentes métodos. Estos incluyen aquellas técnicas aplicadas en el diseño del estudio, tales como restricción, aleatorización y coincidencia, y aquellas técnicas empleadas en el análisis de datos, como la estratificación, el análisis multivariado, la estandarización, los puntajes de propensión, el análisis de sensibilidad y el inverso ponderación de probabilidad. En esta revisión, analizamos cómo identificar una variable de confusión y las principales técnicas para controlar el sesgo de confusión.
Molecular Taxonomy and Phylogenetic Analysis of Dove and Pigeon Species (Aves: Columbidae) of Pakistan, Based on COI Region of Mitochondrial DNA
Authors: -i-Abbas Fakhar , -i-Abbas Fakhar , Nazir Fakhra , Muhammad Khan Fida
Published: September 2020

Doves and Pigeons are the members of living family Columbidae (Order: Columbiformes) having a wide range of taxonomic diversity and geographic distribution. Seven species with one sample each of family Columbidae were collected via random sampling from different districts of Pakistan to carry out this study. The targeted gene region was sequenced and identified by using BLAST tool at National Center for Biotechnology Information (NCBI). CLUSTALW was used for sequence alignment and MEGA6 for reconstruction of phylogenetic trees to predict the effective ancestry of different Columbidae species. The following phylogenetic trees were obtained i.e. Maximum Likelihood tree, Neighborhood joining tree, Maximum parsimony tree and UPGMA tree. In the current study, COI gene barcoding and phylogenetic analysis of family Columbidae gave results of multiple alignment which showed that Columba livia livia and Columba eversmanni, closely resembled as well as Spilopelia senegalensis and Streptopelia decaocta. While Streptopelia tranquebarica and Spilopelia chinensis have great affinity due to small clade difference and Treron phoenicoptera was distinctly related to other species due to large clade difference.
Current Scenario of Covid-19 with Epidemiological and Phylogenetic Analysis of Pakistani Coronavirus: A Review
Authors: Altaf Asma , Iqbal Wafa , Younis Sidra , Deebah Farah
Published: September 2020

A novel corona virus named as 2019 n-CoV was identified to be the actual cause of an outbreak of respiratory illness in Wuhan, China beginning in late December 2019. This respiratory disease was named as COVID-19 by WHO. There are many countries affected by COVID-19 including Pakistan. In this review we have provided a brief introduction of COVID-19 and discussed epidemiological and phylogenetic analysis of Pakistani novel corona virus strain. Our epidemiological analysis of data till 16th May 2020 showed rapidly increasing number of new cases, while at the same time a higher recovery rate than number of deaths in Pakistan. Moreover, phylogenetic analysis indicated that 2019-nCoV strain of Pakistan shared 100 % bootstrap value with various countries’ novel corona virus strains. Similarly, phylogenetic analysis was also conducted in comparison with SARS species to confirm our results. In this review, current knowledge of pathogenesis, diagnosis, treatment of COVID-19 and comorbidities which could be helpful in offering novel understanding and possible therapeutic targets for fighting against the COVID-19 infection are discussed.
Towards Automating Clash Management Process in Design Build Industrialized Project s
Authors:   Faculty of Design and Architecture, Universiti Putra Malaysia/ Selangor, Malaysia, Fawaz Mustafa , Ibrahim* Rahinah ,   Faculty of Design and Architecture, Universiti Putra Malaysia/ Selangor, Malaysia, Ghafar Maszura Abdul ,   Faculty of Design and Architecture, Universiti Putra Malaysia/ Selangor, Malaysia., Rashidi Ali ,   School of Engineering, Monash University Malaysia. Selangor Darul Ehsan, Malaysia
Published: September 2020

The Malaysian government has been promoting the use of industrialized building system (IBS) and Building Information Modeling (BIM) in the Productivity Thrust of the Construction Industry Transformation Program CITP2016-2020. However, the rate of BIM adaptation is hampered when the AEC industry still relies very much on traditional drawings and management practices. The clash management becomes one of the major problems affecting 25%-30% of contract value and 10% project cost. This study is part of a larger study aiming to propose an automated clash management system that supports integration of local IBS products in a BIM process. This paper reports the documentation of the underlying traditional practices for clash detection and resolution in industrialized projects. This study used case study research methodology involving a design-build construction team of an industrialized hospital project. In-depth interviews were conducted on the management team including the project manager, the architect, the coordinating engineer, and the quantity surveyor. Inductive logic approach was used to collect and analyze the data for this study. Results include documentation of the clash detection until resolution of management decision process through distinctive clash lifecycle phases including the sequential activities of the project management team and the criteria for decision-making. These results are expected to contribute towards proposing a technology-based clash management framework that would support the development of an automated clash management system. This paper extends the Discontinuity-in-Organization theory for supporting knowledge transfers in complex lifecycle process.
Big Data Analytics in Healthcare
Authors:   School of Computing Science & Engineering Galgotias University Yamuna Expressway, Greater Noida, Gautam Buddh Nagar, Uttar Pradesh, India, Raj* Sakshi , Sharma Miss Swati ,   Assistant Professor, School of Computing Science & Engineering Galgotias University Yamuna Expressway, Greater Noida, Gautam Buddh Nagar, Uttar Pradesh, India
Published: September 2020

Today, data is constantly increasing and it becomes very hard to handled data skilfully in the usual way. It is also quite expensive, unproductive and very hard to manage data. That's the reason why the super-important technologies are entering in the work place. In the medical field data is increasing day by day and it becomes very hard to manage, analysis and store data in paper pen work. Recent, big data technology, plays major role in the management, organization and analysis of data. Big data technology has been applied towards improving patient profile of care delivery. Biomedical image, generating each day in huge number can be analyzed better with big data technology along with machine learning and artificial intelligence.Research rate in this field has the potential to provide meaningful result in identification of diseases. Change in DNA can predict many future chronic disease. Research also demanded useful, updated, and accurate data. . It becomes possible for public to identify their health risk by their own.
Effect of Ginger Hydro Alcoholic Extract on Oxalate Renal Stone in Rats
Authors:   mansion host Shand house, 20 Newport Road, Cardiff, UK, Kako* Shayan
Published: September 2020

Nowadays, biotechnology of medicinal plants is a modern sub-branch of biotechnology and pharmacy that has gradually become the focus of attention of pharmaceutical and traditional medicine specialists which results to major changes and jumps in production of science. Since herbal medicine is one of the oldest therapies in Middle East and Chinese tradition, herbal medicines, owing to less side effect levels compared to chemical treatments, have long been used for preventative and therapeutic treatment, as well as the attention of medical professionals. Herbal medicine is totally based on plant parts like roots, leaves, etc., there are various manners of using herbals in different traditions such as soaking into the water, boiling, chewing, etc.. The present study intends to investigate the effect of ginger hydro alcoholic extract on kidney stone (oxalate type). [1] We initially divided the rats into five groups which includes control group, 2 doses of Ginger extract, treating by regular medication and not treating. By injecting peritoneal of sodium oxalate solution to the rats after about 7 to 10 days, and by observing the oxalate crystals in the urine samples taken from the kidneys and physical signs of kidney stones like decrease in volume of urine, Zingiber officinalis rhizome, which was used as a herbal remedy, was extracted and injected into the rats with different doses. As results of injection on a regular basis, we observed treatment in rats with kidney stone. According to the dosage, the pace of treatment was different in samples. So, low dose can be used for minor problem in a long term and high dose can be use for major level of kidney stone which is working more efficiently with a higher speed of treatment. [2],[3]
SCADA Vulnerabilities and Existing Security Approaches Towards Industrial Protection
Authors:   Department of Communication Technology and Network, University Putra Malaysia, Serdang, Malaysia., Franco* Daniel José , Muhammed* Abdullah ,   Department of Communication Technology and Network, University Putra Malaysia, Serdang, Malaysia., Subramaniam Shamala K. ,   Department of Communication Technology and Network, University Putra Malaysia, Serdang, Malaysia., Abdullah Azizol ,   Department of Communication Technology and Network, University Putra Malaysia, Serdang, Malaysia.
Published: September 2020

Attackers, spread all around the world, have become a major threat to SCADA systems, since they started using opened-standard networks, integrated to corporate networks and accessing the Internet. It is true that there are also many different security solutions and techniques available, such as firewalls, encryption, network traffic analysis and a few others, though, intruders still managed to gain access and control delicate systems. Pointed as a non-invasive solution, intrusion detection systems (IDS) are able to monitor and report activities of any anomaly or strange patterns. However, due to the lack of SCADA network traffic data, such IDS solutions are still primitive and based on just well-known vulnerabilities and attacks, where a dedicated IDS is necessary to properly protect SCADA in water distribution systems. This study highlights SCADA vulnerabilities and security issues, through a qualitative approach, using known attacks and examples in security as case studies and aiming to present scenarios on this issue, as well, an overview of today’s SCADA vulnerabilities and main threats. Results show that the identification of Intrusion Detection Systems (IDS), with their approaches and types, also widely implemented in regular IT networks, help on providing a higher security level and identifying abnormal traffic data. Such systems have indeed shown a good success rate on identifying malicious traffic in SCADA networks, mainly because of their evolution to Ethernet and open communication protocols. Based on these singular characteristics, studying SCADA networks and their communication protocols is seen as a major factor to properly develop robust security mechanisms and tolls.
Big Data an Interesting Tool for Policing and Law Enforcement to Ensure the Safety, Health, Possessions of Citizens, and To Prevent Crime and Civil Disorder
Authors:   Department of Computer Science, Birla Institute of Technology & Science, Pilani - Dubai Campus, Academic City - P.O. Box: 345055, Dubai -United Arab Emirates., Sethi* Gourisha , Rajak A. R. Abdul ,   Assistant Professor, Electrical and Electronics Engineering, Birla Institute of Technology & Science, Pilani - Dubai Campus, Academic City - P.O. Box: 345055, Dubai - United Arab Emirates.
Published: September 2020

This research paper portrays a small contribution towards the exploration of big data application; particularly in the policing and legal departments around the world. It showcases the concept of real time study of ever growing, constant and large amount of data being put into use and showcasing how this data in the coming world is not less than any physical asset. This paper provides a good understanding about the implementation of big data and how out of multiple sectors it is being utilized in the policing and law enforcement sectors of numerous countries with the help of technical advancements like Artificial Intelligence and Predictive Software. An understanding in the working of Predictive Analysis Softwares & AI with the policing bodies that already are into existence and running. This includes system-oriented reproductions for producing road segment-based lawbreaking forecasts. The big data proved to be very useful for the policing and law enforcement sectors during the global pandemic caused by the COVID-19 virus when social distancing is critical.
Portable Wireless Drowsiness Detector
Authors:   Biomedical engineering, Aarupadai veedu institute of technology, Chennai, India, V Manimala. , Z Ahmed Maricar. ,   Biomedical engineering, Aarupadai veedu institute of technology, Chennai, india,, K Ananthakrishnan. ,   Biomedical engineering, Aarupadai veedu institute of technology, Chennai, india,, Arulvallal Santhoshini ,   Assistant professor of biomedical department, Aarupadai veedu institute of technology, Chennai, India
Published: September 2020

Excess sleep results in drowsiness that's not the underlying disease.Drowsiness may cause additional symptoms, like forgetfulness or falling asleep at inappropriate times. The common examples are Sleep deprivation, alcohol or drug use, medication side -effect, an outsized meal or caffeine withdrawal. A number of the causes of the drowsiness are Lifestyle factors, psychological state, Medical Condition, Medications, Sleeping disorders. The prevailing method uses the photo-PLETHYSMOGRAPHY method. In our project we are going to detect the drowsiness, this we will detect the waveforms and transform the waveforms using ARDUINO software and determine the speed of drowsiness. Using GSM, just in case of drowsiness the notification or call is shipped to the respective registered number. The developed low-cost device could avoid complicated procedures and provides continuous monitoring of the drowsiness.
Minimizing Transmission Energy of Wireless Sensor Network
Authors:   Department of Electrical Engineering, Asosa University, Asosa, Ethiopia., Birawo* Birtukan Admau
Published: September 2020

Recent advances in electronics and wireless telecommunications provide the opportunity to design and manufacture wireless sensors with low power consumption, small size, appropriate price and various applications. These small sensors which are capable of sensing environmental data, processing and transmitting information have led to a novel idea for developing networks called wireless sensor networks (WSNs). WSNs are contains a various number of tiny small-cost, resource limited and limited energy devices that can sense, compute, store, and transmit data of surrounding environment with limited capabilities across the network to the base station. But these resource and battery limitations have direct effect on the life span of wireless sensor networks. So, authors aim to minimize the transmission energy of the network through minimizing the communication distance between each sensor nodes of the network. They proposed to improve Multi-Hop LEACH routing protocol. The network in the proposed work incorporates homogeneous types of sensors nodes randomly deployed in different portion of an environment to gather data about the environment that they are deployed. The sensors are organized in cluster-based structure to sense the different physical parameters of the environment and route the readings to a BS for visualization and data management purpose. The proposed work improved the existing routing protocol which is Multi-Hop LEACH cluster-based routing protocol by integrating the communication way of existing appropriate routing protocols. Such as: Minimum Transmission Energy and Multi-Hop LEACH cluster-based routing protocol for WSN. Authors have implemented the proposed routing protocol for WSN and the performance is evaluated using MATLAB simulation tool. Finally, Researchers present numerical results that validate the feasibility of the proposed technique. The proposed protocol achieves significant improvement in terms of network lifetime and provides improved performance energy efficiency for WSN.
Conservation of Cement Strength in India
Authors:   Civil Engineering Department, MIT Muzaffarpur, Muzaffarpur, India, Sinha* Subha , Gupta Vybhav ,   Technical Service Department, Ultratech Cement Ltd India., Shaurabh Shashank ,   Civil Engineering Department, Motihari College of Engineering, Motihari-845401, India.
Published: September 2020

Cement is the most important material for construction industry. Key raw material for cement Manufacturing is limestone and it’s a non-renewal source of material. The high demand and limited reserve of limestone create a challenge to use this non-renewal source in optimum way and to reduce the wastage. To counter this challenge, RMC has been developed. However in India, its usages are limited due to lack of studies of its effectiveness in sub-continental conditions. In this work a study is made to identify the quantum of wastages and effectiveness of RMC to reduce this wastage. Suggestive measures are also discussed to overcome the constraints in the use of RMC in India. This study shows that RMC may be proved a game changer in conservation of cement strength if more emphasis can be given on development of RMC industry and to educate the stack-holders about its benefits and way of use. It is concluded that masons have measured role in house construction so lot of education certified courses are needed to implement to educate them for usage of cement and concrete batching. Government, Cement companies and RMC industries need to focus on this account to prevent wastage of extra cement by volume batching (Nominal Mix) and need to promote concrete mix design by weight.
Performance Enhancement Method for Machine Learning Algorithm
Authors:   School of Computer Science & IT, Devi Ahilya University, Khandwa Road, Indore 452001, Madhya Pradesh, India., Chaudhary* Archana
Published: September 2020

Machine learning is programming computer or a mobile device that learns from experience. Machine learning classification methods are helpful in various fields of Computer Science like driverless cars, product recommendation systems, dynamic pricing, Google translate, online video streaming, internet and mobile fraud detection systems and much more. The present work proposes a method augClassifier to enhance the performance of Simple Logistics machine learning algorithm. The performance assessment of machine learning algorithm is conducted on a Mobile device using Android Environment. The work also presents the comparative performance investigations of Simple Logistics machine learning algorithm using correlation based feature selection method with respect to performance measures Precision, Sensitivity, F-Measure and ROC. The present work conforms that the augClassifier enhances the performance of Simple Logistics machine learning algorithm.
Analytical Simulations for Proactive, Reactive and Position based Routing Protocols using OMNeT++ via INet Framework
Authors:   Delta Technological University, Faculty of Technological of Industry and Energy, Elgazzar* Mohamed M. A. , alshareef Ahmad ,   Electronics and Communications Department, Cairo University Giza, Egypt
Published: September 2020

Vehicular ad-hoc networks VANETs has become one of the great research topics related to automotive industry, as they are the suitable way to describe the real scenarios of the car movement through our daily life. Routing protocols used in the network description of a vehicular ad-hoc network are to balance between the responsiveness of the network to the rapid change of the topology and bandwidth efficiency. Different approaches for routing protocols are introduced to address the routing strategies to be followed in the constructed vehicular ad-hoc network considering its perspective of the routing algorithm to be followed. Each approach is consists of different routing protocols that inherits the main theme of the parent approach. Evaluating the measurements for each approach is very important for the developer of the network through network simulation prior to the expensive direct implementation of the vehicular ad-hoc networks. In this paper, we will discuss three main routing approaches: reactive, proactive and position based routing protocols, discussing the main theme for each approach followed by analytical simulations for three different protocols representing the three approaches. Ad-hoc on demand vector AODV representing the reactive approach, destination-sequenced distance vector DSDV representing the proactive approach and greedy perimeter stateless routing GPSR representing the position based approach.