bluuebunny/crossref_metadata_2025 huggingface dataset:
Changes in Free-Living Glycemic Profiles after 12 Months of Lifestyle Intervention in Children with Overweight and with Obesity
Authors: Karnebeek Kylie , Rijks Jesse M. , Dorenbos Elke , Gerver Willem-Jan M. , Plat Jogchum , Vreugdenhil Anita C. E.
Published: April 2020

Previous studies demonstrated that hyperglycemic glucose concentrations are observed in children that are overweight or have obesity. The aim of this study was to evaluate the effect of a 12 month lifestyle intervention on free-living glycemic profiles in children that were overweight or had obesity, and the association of the alterations with changes in cardiovascular risk parameters. BMI z-score, free-living glycemic profiles, continuous overlapping net glycemic action (CONGA), and cardiovascular parameters were evaluated before and after a multidisciplinary lifestyle intervention, in 33 non-diabetic children that were overweight or had obesity. In children with a decrease in BMI z-score, the duration which glucose concentrations were above the high-normal threshold (6.7 mmol/L) and the glycemic variability decreased significantly. In these children, a decrease in median sensor glucose was associated with decreases in LDL-cholesterol, and systolic and diastolic blood pressure z-score. A decrease in BMI z-score was associated with a decrease in CONGA1, 2, and 4. In conclusion, the glycemic profiles in free-living conditions in children that were overweight improved in children with a decrease in BMI z-score after lifestyle intervention. In those children, changes in median sensor glucose concentrations were associated with changes in LDL-cholesterol and blood pressure z-scores. These results suggest that glucose homeostasis can improve after one year of lifestyle intervention and that these improvements are associated with improvements in cardiovascular health parameters.
Şanlıurfa'da Gebe Kadınların İlaç Kullanım Alışkanlıkları ve Etkileyen Faktörler
Authors: ALPTEKİN Pınar Çağlar , KORUK Fatma
Published: April 2020

Amaç: Çalışma, Şanlıurfa’da gebe kadınların ilaç kullanım alışkanlıklarını ve etkileyen faktörleri belirlemek amacıyla yapılmıştır. Materyal ve Metod: Tanımlayıcı tipte olan araştırmanın evrenini, Şanlıurfa’da bir eğitim araştırma hastanesinin kadın doğum polikliniklerine başvuran gebeler oluşturmuştur. Örnek büyüklüğü; konuyla ilgili çalışmalar dikkate alınarak tahmini orantı/oran/sıklık %27.8, hata sınırı %5 ve %95 güvenle yapılan hesaplamada 309 olarak hesaplanmıştır. Veriler, Tanımlayıcı Veri Toplama Formu aracılığı ile Şubat-Mayıs 2016 tarihleri arasında, yüz yüze görüşme tekniği kullanılarak toplanmıştır. Araştırmada, Harran Üniversitesi Etik Kurulu’ndan ve Kamu Hastaneler Birliği Genel Sekreterliği’nden yazılı izin, çalışmaya katılmayı kabul eden gebe kadınlardan sözlü onam alınmıştır. Verilerin değerlendirilmesinde, tanımlayıcı istatistiklerden yüzde, ortalama ve standart sapma; tek değişkenli analizlerden Ki-kare testi kullanılmıştır. Bulgular: Gebelerin %76.1’i gebeliği boyunca en az bir ilaç kullanmaktadır. Gebelerin %23.6’sının doktora danışmadan ilaç kullandığı ve bu ilaçlar içerisinde en fazla analjeziklerin (%21.4) olduğu belirlenmiştir. Gebelerin %74.4’ü doktordan ilaç hakkında bilgi istediğini, %63.8’i ilaçların prospektüsünü okuduğunu, %98.1’i ilacı doktorun önerdiği şekilde kullandığını, %57.6’sı ilacın kullanımında saat aralıklarına ve %74.1’i ilacın dozuna dikkat ettiğini, %64.4’ü evde bulunsun diye ilaç yazdırmadığını bildirmiştir. Yapılan istatistiksel değerlendirmede; gebelerin doktora danışmadan ilaç kullanım durumları ile sosyo-demografik özellikleri ve kronik hastalığı olma durumları açısından aralarında fark olmadığı belirlenmiştir (p>0.05). Sonuç: Çalışma sonuçlarına göre, gebelerin çoğunluğunun doğru ilaç kullanım alışkanlığına sahip olduğu belirlenmiştir. Bu sonuçlar doğrultusunda, gebelerde doğru ilaç kullanımının yaygınlaştırılması, gebelik izlemlerinde ilaç kullanım alışkanlıklarının da sorgulanması, gerekli durumlarda ilaç kullanımına yönelik gebe ve ailesine eğitim ve danışmanlık yapılması, hemşirelerin ilaç kullanımı konusunda bilgilerinin güncel tutulması ve konuya duyarlılıklarının artırılması önerilmiştir.
Preeklamptik ve Eklamptik Hastalarda Yoğun Bakımda Kalma Süresine Etki Eden Faktörler
Authors: ÖZTÜRK Engin , HİLALİ Neşe Gül
Published: April 2020

Amaç: Çalışmamızın amacı kliniğimizde preeklampsi ve eklampsi nedeni ile yoğun bakımda tedavi gören hastalarından yoğun bakımda kalma süresine etki eden faktörlerin araştırılmasıdır.Materyal ve Metod: Harran Üniversitesi Tıp Fakültesi Kadın Hastalıkları ve Doğum Kliniğinde Ocak 2015 ve Ekim 2016 tarihleri arasında preeklampsi ve eklampsi nedeni ile yoğun bakımda tedavi gören 77 hasta retrospektif olarak değerlendirildi. İstatistiksel çalışmalar için SPSS 20.0 paket programı kullanıldı. P değeri < 0.05 altında olanlar istatistiksel olarak anlamlı kabul edildi.Bulgular: Yoğun bakımda kalma süresini etkileyen faktörler değerlendirildiğinde hastaların yaşı, gebelik sayısı veya doğum şekli ile yoğun bakım servisinde kalma süresi arasında korelasyon izlenmemiş ancak tedavi süresi ile AST (r=0.255, p=0.025), ALT (r=0.281, p=0.013), idrarda proteinüri (r=0.263, p=0.021) ve LDH (r=0.267, p=0.019) düzeyleri açısından pozitif anlamlı bir ilişki tespit edilmiştir.Sonuç: Çalışmamızda; preeklampsi ve eklampsi nedeni ile yoğun bakımda takip ettiğimiz hastaların ALT, AST, LDH, gibi laboratuvar parametrelerinin yükselmesi ve proteinüri varlığı, hastaların yoğun bakımda takip sürelerini arttırmıştır.
OSAS'lı Hastalarda Temporomandibular Eklem Rahatsızlıklarının Prevelansının Değerlendirilmesi
Authors: YANIK Saim , POLAT Mehmet Emrah , SAK Zafer
Published: April 2020

Amaç: Çalışmamızın amacı polisomnografi (PSG) ile Obstrüktif Uyku Apne sendromu (OSAS) teşhisi konmuş 54 hastada Temporomandibular eklem (TME) rahatsızlığı prevelansını, ve OSAS’ın yaş ve cinsiyet ile ilişkisini araştırmaktır.Materyal ve Metod: Çalışmamıza Ocak 2018 – Haziran 2018 tarihleri arasında Harran Üniversitesi Tıp Fakültesi Göğüs Hastalıkları Anabilim Dalında OSAS teşhisi konmuş fakat OSAS tedavisine başlanmamış 54 hasta dâhil edildi. OSAS teşhisi konmuş hastalar Harran Üniversitesi Diş Hekimliği Fakültesi Ağız, Diş ve Çene Cerrahisi kliniğine yönlendirildi. Bu hastaların TME muayenesi tek hekim tarafından bilateral olarak yapıldı. Muayene esnasında TME rahatsızlığına bakıldı. Teşhis edilen rahatsızlıklar TME rahatsızlığı/eksen 1 (RDC/TMD Axis 1) sınıflandırmasına göre klasifiye edildi. Ayrıca hastaların yaş ve cinsiyetleri de kayıt edildi.Bulgular: Elde edilen sonuçlara göre hastaların % 75,9’u erkek, % 24,1’i kadındır. % 24,1’inde bruksizm, % 9,3’ünde redüksiyonlu disk deplasmanı vardır. Apne/Hipopne indeksi (AHİ) indeksine göre hastaların % 70,4’ünde ağır derecede, % 20,4’ünde orta derece, % 9,3’ünde hafif derecede OSAS bulunmaktaydı. Hastaların yaş ortalaması yaklaşık 50, hafif derecede OSAS grubunun yaş ortalaması 33,4, orta derecede OSAS grubunun yaş ortalaması 49,3 ve ağır derecede OSAS grubunun yaş ortalaması ise 51,8'dır. Test istatistiğinin anlamlılık değerlerine göre, hastalık derecesi ile yalnızca yaş grupları arasında istatistiksel olarak anlamlı ilişki bulunmuştur (p<0.05). Çoklu karşılaştırma testi bulgularına göre ağır derecede OSAS teşhisi konulan hastaların yaş ortalamaları, hafif derecede OSAS teşhisi konulan hastalara göre anlamlı ölçüde yüksektir. Diğer tüm faktörlerle hastalık derecesi arasında istatistiksel olarak anlamlı ilişki bulunamamıştır (p>0.05).Sonuç: OSAS erkelerde ve ilerleyen yaşlarda daha yüksek oranda görülmektedir ve yaş ilerledikçe hastalığın şiddeti de artmaktadır. Çalışmamızda OSAS’lı hastalarda üçte birinde TME rahatsızlığının eşlik ettiği görülmüş olup en sık gözlenen TME rahatsızlığı bruksizm olarak kaydedilmiştir. Yazarlar bunun nedeni olarak uyku kalitesinin bozulmasının hastalarda psikolojik strese yol açtığını ve sonuç olarak bruksizmi tetiklediğini düşünmektedir. Bununla birlikte çalışmanın daha geniş hasta popülasyonları üzerinde yapılmasına ve ayrıca OSAS’lı hastaların tedavi öncesi ve sonrası TME rahatsızlığı bulgularını karşılaştıran ileri çalışmalara ihtiyaç bulunmaktadır.
Inguinal Hernia Repair with Progrip ™ Mesh Under Local Anesthesia in High-Risk Elderly Patients
Authors: BAYRAK Mehmet , BÜLBÜL Ahmet , ALTINTAŞ Yasemin , ALABAZ Ömer
Published: April 2020

Background: Inguinal hernia repair surgery is one of the most common surgical procedures in the world. There are various types of this surgery, and emerging evidence suggests repair under local anesthesia using Parietex ProGrip mesh may be a favorable option for individuals who are elderly and high-risk. This study aimed to explore its reliability and efficacy in that demographic.Materials and Methods: The results of 160 patients who underwent inguinal hernia surgery using Parietex ProGrip mesh between January 2014 and March 2018 were retrospectively reviewed. Local anesthesia was administered by anesthesiology expert with using a mixture of 20 mg/ml lidocaine + 0.0125 mg / mL epinephrine, 2% prilocaine, 0.5% bupivacaine and saline. Preoperative ultrasonography was performed to assess the type of inguinal hernia, and Gilbert was the preferred classification method. The operative and mesh application times, postoperative recurrence of hernia and health status, along with follow-ups were statistically evaluated.Results: In the present study, 160 patients had a mean ± standard deviation (SD) age of 73.6 ± 3.4 y. Most were diagnosed with Gilbert type 2 (n = 42; 26.3%) and type 3 (n = 49; 30.6%) inguinal hernias; all were ASA Grade 3 (n = 83; 51.9%) or Grade 4 (n = 77; 48.1%). The mean ± SD operative and mesh application times were 30.0 ± 3.8 min and 1.18 ± 0.6 min, respectively. No anesthesia-related side effects or treatment-related mortalities were observed. No readmission, systemic complication, postoperative recurrence or death occurred during the 6-month follow-up period. Postoperative seroma was observed in 6 patients and confirmed by a radiologist via ultrasonography. The pain visual analog scale (VAS) score decreased significantly and the health VAS score increased significantly over time (p=0.0001 for both).Conclusions: Open inguinal hernia surgery performed using a self-adhesive Parietex ProGrip mesh under local anesthesia is a safe and effective treatment option for high-risk elderly patients.
KONSEP MODEL PEMBELAJARAN COOPERATIVE LEARNING TERHADAP MOTIVASI BELAJAR SISWA
Authors: Shamdani
Published: April 2020

Penelitian ini bertujuan untuk meningkatkan hail belajar dan aktivitas belajar siswa dengan penerapan model pembelajaran kooperatif tipe Make-A Matchberbantuan media komik interaktif, jenis penelitian yang digunakan adalah Penelitian Tindakan Kelas (PTK) dengan menggunakan 2 siklus masing-masing siklus terdiri dari 3 tahap yaitu, 1) perencanaan tindakan 2) pelaksanaan tindakan dan observasi 3) refleksi untuk setiap siklusnya terdiri dari 3 pertemuan.
Penggunaan Model Contextual Teaching and Learning ( CTL ) Dalam Meneghadirkan Kemampuan Berfikir Sejarah Peserta Didik ( Miftahul Jannah 171012220014 )
Authors: jannah Miftahul
Published: April 2020

Pembelajaran sejarah merupakan pembelajaran yang dituntut untuk menghadirkan kesadaran sejarah sebagai tujuan utama dalam setiap pembelajaranya. Dalam pelaksanaannya, tujuan tersebut dapat dicapai melalui berbagai model pembelajaran. Salah satunya model contextual teaching and learning ( CTL ). CTL adalah suatu model pembelajaran yang menekankan kepada proses keterlibatan peserta didik secara penuh untuk menemukan materi yang dipelajari dan menghubungkannya dengan situasi kehidupan nyata. Belajar dalam kontekS CTL bukan hanya sekedar mendengarkan atau mencatat, tetapi merupakan proses belajar dimana peserta didik merasakan pengalaman secara langsung, sehingga dapat mendorong kemampuan berfikir sejarah peserta didik untuk dapat menerapkan dalam kehidupan mereka.
PENERAPAN MODEL SINEKTIK DALAM PEMBELAJARAN SEJARAH UNTUK MENINGKATKAN KETERAMPILAN BERPIKIR KREATIF SISWA
Authors: Farahdiyana Hani
Published: April 2020

Dalam pembelajaran Sejarah hendaknya tidak mematikan kreatifitas dan memaksa peserta didik untuk menghafal isi buku ataupun fakta dalam buku teks. sudah saatnya pembelajaran Sejarah diajarkan dengan cara yang berbeda, kebekuan pembelajaran yang terjadi seringkali dikarenakan rendahnya kreatifitas dalam pembelajaran sejarah. Sebagai akibatnya peserta didik seringkali merasakan bosan dalam pembelajaran dan hal ini menjadi faktor utama yang akan dihadapi guru dalam mengajarkan sejarah dan peserta didik dalam belajar sejarah.Pengunaan model dalam sebuah pembelajaran sangat berpengaruh terhadap hasil kemampuan peserta didik dalam belajar disekolah. Agar tercipta pembelajaran yang aktif di kelas antara peserta didik dengan guru. Guru dapat menggunakan model Sinetik dalam pembelajaran Sejarah untuk meningkatkan keterampilan peserta didik agar dapat berpikir kritis, kreatif dan peserta didik mudah memahami materi yang diajarkan.
MENUMBUHKAN RASA NASIONALISME MELALUI PENGGUNAAN MODEL PEMBELAJARAN ROLE PLAYING PADA PEMBELAJARAN SEJARAH KELAS XI IPS SMA MUHAMMADIYAH 2 BANJARMASIN
Authors: Husna Raudatul
Published: April 2020

Nasionalismeadalahsuatupaham yangdiajarkanuntukmencintaibangsadannegaraataskesadaranmasing-masingwarganegara.Menjadiwarganegara yang secara bersama-sama untukmencapai,mempertahankan,danmengabdikanidentitas,jugaintegritas,sertakemakmurandankekuatanbangsa.Nasionalismemerupakansuatukonseppentingyangharusdipertahankandanmenjagasuatubangsaagartetapberdiridengankokoh.Dengansemangatnasionalismeyangtinggimakaeksistensisuatunegaraakanselaluterjagadarisegalaancaman,baikancamansecarainternalmaupunancamandarieksternal.Sejarahmempunyaikedudukansebagaipengingatumatmanusiauntukselalusadardantidakterjebakkedalam pengalamanburukmasalaluyangtercermindalam ceritasejarah.Dalam konteksnasionalismesejarahmemberiperingatankepadakitatetangpentingnyamemahamiidentitaskebangsaanyangkitamilikidengancaramenengokkembalipadamasalalupadawaktuidentitastersebutterbentuk.
The legal and technical possibilities of using of scaffoldings as the ramp for disabled persons
Authors: Błazik-Borowa Ewa , Pieńko Michał , Robak Aleksander
Published: April 2020

The paper is devoted to the problems of legal and technical making the ramp for disabled persons with scaffolds. Scaffolding system components allow you to assemble a structure that serve as the ramp and fulfil the requirements of technical conditions. From a legal point the most important is the fact that the ramp construction needs a building application. In this regard, the greatest problems is obtaining the rights to use the property for construction purposes. A big challenge is to also perform stress analysis, taking into account of dynamic impacts caused by the movement of the trolley. In this regard, the paper presents a numerical model of the ramp, static analysis, modal analysis and results of prediction of a disabled person ride on the trolley. The results of computer calculations have shown that the construction of the ramp requires the exact numerical analysis. Therefore, the best option would be in order to scaffolding companies will prepare relevant technical documentation of products which are ramps for the disabled.
Architecture of spas in Krynica Zdroj
Authors: Filas-Zając Paulina
Published: April 2020

Research on the spatial shape of spas lies in the field of interest of architects, urban planners and geographers. The research shows a link between the role of spas and the process of economic development of the region and the town, mainly in the field of tourism.

Spa town is based on the assumption that various human health needs are supported there. For example spa provides conditions to restore physical and mental health after accidents and hospital treatment, it maintains the present state of health in chronic diseases, provides prophylactic examinations to enhance immunity and should prevent diseases of civilization or mitigate the effects of such diseases.

Spas also aim at promoting and spreading education not only related to health. The spatial shape of a spa derives from its function and is the result of a centuries long forming of these systems. They are located in places, which are richly supplied with natural healing factors such as: natural resources, and environmental factors such as: the natural environment, climate, forestation, sea, landscape, cultural environment of the region and the spa town, spatial layout and architectural forms.

In addition to the essential function they perform, they are also very interesting architectural and urban designs, which have been discussed through the example of Krynica Zdroj town.
Application of stereology in engineering of building materials
Authors: Szeląg Maciej , Szewczak Andrzej
Published: April 2020

The article presents the literature review about the application of stereology and image analysis for quantitative evaluation of the building materials structure. At the outset, the development of stereological methods and computer image analysis techniques in the study of building materials was provided. Then quantitative structure parameters were defined and their methods of determining were showed. In the paper, the application of image analysis for the determination of properties of the cement composites was reported, including: an assessment of the porosity of the hardened concrete, determination of the aggregate distribution in the cementitious matrix, the crack analysis. It was found that the leading problem of image analysis is the process of sample preparation in order to obtain the correct extraction of examinated phase, and measurement automation process.
Appraisal of Ferry Terminals Design Compliance to Guidelines for Universal Accessibility in Lagos State Nigeria
Authors:   Lecturers and Researchers, Department of Architecture, College of Science and Technology, Covenant University, Canaanland, Km 10 Idiroko Road, Ota, Ogun State, Nigeria., Babalola Olatunde Daniel , Eke Wonders Nduka ,   Practitioner and Researcher, Department of Architecture, College of Science and Technology, Covenant University, Canaanland, Km 10 Idiroko Road, Ota, Ogun State, Nigeria., Opoko Akunnaya Pearl ,   Lecturers and Researchers, Department of Architecture, College of Science and Technology, Covenant University, Canaanland, Km 10 Idiroko Road, Ota, Ogun State, Nigeria., Izobo-Martins Dr. Oladunni ,   Lecturer, Department of Architecture, Covenant University, Ota, Ogun State, Nigeria., Ediae Dr. Osahon James ,   Lecturer, Department of Architecture, College of Science and Technology, Covenant University, Ota, Nigeria, Akinola Adedotun Oyebola ,   Lecturers and Researchers, Department of Architecture, College of Science and Technology, Covenant University, Canaanland, Km 10 Idiroko Road, Ota, Ogun State, Nigeria.
Published: April 2020

Accessibility of public buildings has been an issue of global interest and importance in the society in recent times. It has been promoted by the need to ensure universal equality and end discrimination of persons either based on size, ability and mobility disorder. Given the important role of water transportation in aiding mobility, movement of goods and services in coastal cities such as Lagos, this study reviewed the compliance of design, construction and operation of Ferry Terminals towards accessibility of users. The research adopts the case study approach and interviews in appraising the three existing Ferry Terminals in Lagos State, Nigeria for accessibility compliance. The case study involved observation and evaluation of the facilities, and the interviews focused on 18 of the ‘facilities operators and passengers’ about their experiences of associated facilities. Findings from the study revealed poor compliance to accessibility in both the external and internal environments. As such, there is a high degree of limitation in use of the facilities for all facets of water travel; from building approach; waiting, boarding and disembarking areas. Existing facilities have inadequate accessibility and are below standards to ensure use by all and without discrimination or segregation of users. It is therefore imperative for Ferry terminal buildings and amenities to be accessible in effectively enabling all users achieve true mobility in barrier-free environments that foster user-comfort through the adoption and application of universal design principles.
Simulation of Photovoltaic based DC-DC Converter Topologies
Authors:   EEE department ,Faculty of Engineering & Technology Manav Rachna International institute of Research & Studies, Faridabad , India., Khera* Richa , Khosla Anita ,   EEE Department, Faculty of Engineering & Technology Manav Rachna International institute of Research & Studies, Faridabad, Joshi Dheeraj ,   EE department, Delhi Technological University, Delhi , India.
Published: April 2020

Due to the depletion in the fossil fuel there is the major requirement of using other sources of energy.This concern has lead to the use of sources such solar energy,wind energy ,fuel cell etc.Power electronics is gaining popularity due to reduced cost and awareness in the society regarding the green environment .DC-DC Converters are required to convert the supply according to load demand .In this paper advancement in the topologies of DC-DC Converter is discussed and implemented using power sim environment. Photovoltiac system is used as the source. To extort utmost power from photovoltaic systems, utmost power point technique is used . Different topologies such as Buck ,Boost,Buck-Boost ,cuk ,zeta using solar as input are implemented and compared in this paper. as each topology has different complexities,efficiency.the work is carried using Psim
Internationalization of Higher Education: The Activity-Process at Malaysian Technical University
Authors:   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia., Sari* Nurshaidah Bt. Mohamad , Faiz Dr. Nur Sofurah Bt. Mohd ,   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia.
Published: April 2020

Internationalizing higher education has long been on the agenda of most countries. The purpose of internationalization is to improve the quality and relevance of international standards. Given today’s interrelated and interdependent world, internationalization has proven to be a useful tool for higher educational institutions to benchmarking and improve innovative solutions for continuous challenges. Thus, higher education institutions need to strengthen their quality through its primary functions to reach a certain level of internationalization. This paper highlighted the most common practices of internationalization of higher education at the national and sector, institutional and faculty, and individual levels. With a view in identifying approaches and best practices in Malaysia, it is critically reviewed the relevant approaches to internationalization that are covered in the scholarly literature review from the past few decades. The review has revealed the chronology of international education – internationalization from the past until this century and its meaning that carries the concept of internationalization of higher education. The review also identified the approaches to internationalization which are the activity and process approach where has been applied in the internationalization of higher education stratification level. Therefore, this paper will catalyse the change in the understanding of the world that strongly focuses on internationalizing the higher institutions.
Image Colour Prediction using Deep learning
Authors:   UG Student, Department of CSE, National Engineering, Kovilpatti, India., Prakash* K. Vishnu , Prakash S. Siva ,   UG Student, Department of CSE, National Engineering, Kovilpatti, India., Harichandran H.Vishnu ,   UG Student, Department of CSE, National Engineering, Kovilpatti, India., Petchiappan S ,   UG Student, Department of CSE, National Engineering, Kovilpatti, India., selvi Mrs. I Muthu ,   Assistant Professor, Department of CSE, National Engineering, Kovilpatti, India.
Published: April 2020

Any image we perceive through a screen is made of three separate channels, R, G, and B. With the help of these three channels; an image comes to colour. Any pictures taken during the old times were in grayscale format. To convert any given grayscale image into colour, we need the help of a photoshop professional, which might take hours of the workforce. In a revolution to this, we propose an utterly programmed methodology that produces lively and practical colourizations. Generative adversarial networks are an unsupervised learning task in machine learning that involves automatically discovering and learning the regularities or patterns in input file to get an output. In our case, a grayscale image can be converted to colour with the help of GANs.
Securing the Network by the Intruder using Predictive Accession
Authors:   Computer Engineering, Parul Polytechnic Institute, vadodara, India., Pandya Vaibhavi , Raulji Jitendrasinh ,   Computer Engineering, Parul Polytechnic Institute, vadodara, India.
Published: April 2020

Today, it is very crucial to deliver a immense level security to protect highly delicate and private information. Intrusion Detection System is an essential technology in Network Security. So my aim is to use IDS system and meliorate the performance of the IDS. The main target of Intrusion detection and prevention systems (IDPS) is to determine the feasible incidents, logging clue about them and in report attempts. Intruder is the person who tries to interrupt the network. So, it is essential to present a high level security to defend extremely susceptible and confidential information. Key aim of this thesis is to secure the network from the intruders identifying them also predicting them for the next transactions within the network. For that modified genetic algorithm is used to rank the parents and produce better individuals for the prediction of the intruders and provide better security to the network. Also improve the performance of genetic parameters.
Model to Measure the Success of Climate Change Mitigation Performance through the Knowledge Management Systems
Authors:   Information Systems Management Department, BINUS Graduate Program - Master of Information Systems Management, BINA NUSANTARA University, Jakarta, Indonesia, Sardjono Wahyu , Perdana Widhilaga Gia ,   Post Graduate Program, School of Environmental Science, University of Infonesia, Jakarta, INDONESIA, Selviyanti Erna ,   Health Department, Politeknik Negeri Jember, Jember, Jawa Timur, INDONESIA, Retnowardhani Astari ,   Information Systems Management Department, BINUS Graduate Program - Master of Information Systems Management, BINA NUSANTARA University, Jakarta, Indonesia, Utama Ditdit Nugeraha ,   Computer Science Department, BINUS Graduate Program - Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia
Published: April 2020

Scientific descriptions of climate change are officially recognized at the international level is organized by the Intergovernmental Panel on Climate Change (IPCC). The IPCC compiles Assessment Reports which every five years on scientific, technical and aspects socio-economic, causes, potential impacts and coping strategies climate change. IPCC findings prove that the problem of climate change will affect ecosystems and humans in all parts of continents and oceans world. Climate change can pose great risks to health human, global food security, and economic development. Action to reduce emissions is very important and urgent to do in order to avoid the danger of climate change. Adaptation is very necessary to deal with the risks of climate change. Tiers the adaptation needed depends on the success of the mitigation activities. This paper aims to provide an overview of how mitigation in dealing with climate change can be done optimally through a knowledge management system with reference to the SECI theory (Socialization, Externalization, Combination, and Internalization). The factor analysis method is used to find the success factors of mitigation in the face of climate change, and subsequently through a regression analysis a model can be built involving a number of variables formed in the factor analysis. The results of the study provide a number of new factors that can be represented as variables of public awareness of climate change, mitigation socialization processes, availability of knowledge management systems, and governance systems. The conclusion obtained from this study is that the built model is used to measure climate change mitigation performance and can be simulated for optimal achievement based on the local wisdom of the local community.
Descriptive and Predictive Analytics on Adventure Works Cycle: A Corporate Decision Making
Authors:   School of Computing, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia., Lim Yew Liong , Mafas* Raheem ,   School of Computing, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia.
Published: April 2020

Business Analysis has become one of the crucial elements of any business in this data-driven business world. This is at the frontline where the data analytics support the strategic management to make effective decisions with immense computing power. This paper investigates the big data problems of Adventure Works Cycles (AWC) by using analytical techniques and integrate different methods of knowledge discovery and data mining via descriptive and predicative analytics. The descriptive analytics revealed the prevailing business condition which could aid to make effective decisions. Consequently, an empirical study was performed to explore different types of predictive models to predict the future occurrences. Furthermore, a comparative analysis using different predictive algorithms which provides evidence that High-Performance Forest algorithm is particularly operative on the prediction of future occurrences with the accuracy of 80%, ROC index 0.878 and the cumulative lift value of 1.82. This study provides an intuitive grasp of the concept to forecast, find patterns and rules to increase AWC’s overall sales performance and improve overall lead scoring more accurately.
Managing Student Performance: A Predictive Analytics using Imbalanced Data
Authors:   Department of Computing, Engineering & Technology, Asia Pacific University of Technology & Innovation (APU), Kuala Lumpur, Malaysia., Ashfaq Usman , P. M. Dr. Booma ,   Department of Computing, Engineering & Technology, Asia Pacific University of Technology & Innovation (APU), Kuala Lumpur, Malaysia., Mafas Raheem ,   Department of Computing, Engineering & Technology, Asia Pacific University of Technology & Innovation (APU), Kuala Lumpur, Malaysia.
Published: April 2020

Big data has revolutionized every field of life, which accumulates human learning as well. The field of education has progressed in past couple of decades, and addition to that, rapid growth in the number of educational institutions has created a tough competition. The massive accumulation of data in the educational sector has created a great scope of EDM (Educational Data Mining) with the support of robust predictive models. It is quite necessary to regularly examine the performance of the students to make them perform better, thus helps to maintain the reputation of the institution. This study proposed a predictive model through which the performance of the student can be forecasted depending upon various characteristics. The KDD(Knowledge Discovery in Databases) methodology was followed stepwise in this study for developing predictive models to predict student performance. The data balancing techniques such as SMOTE (Synthetic Minority Over-sampling Technique) and ADASYN (Adaptive Synthetic Sampling) were employed to handle the unbalanced effect of data which causes bias predictions. Also, for the selection of significant features techniques, FCBF (Fast Correlation Based Feature selection) and RFE (Recursive Feature Elimination) were used. The EDM algorithms Random Forest (RF), Support Vector Machine (SVM) and Artificial Neural Network (ANN) were utilized for predicting student performance with suitable hyper-parameter tuning using random search to enhance the performance of the model. The results obtained were cross-validated using Ensemble Method and benchmarked with previous studies. The random forest model achieved the highest accuracy of 86% after data balancing and careful selection of significant features.
Spatio-Temporal Limnological Analyses Resulting to Sustainable Development
Authors:   School of Applied Sciences, Centurion University of Technology and Mangement, Odisha, India., Prusty* Pradip Kumar , Nayak Yashaswi ,   School of Applied Sciences, Centurion University of Technology and Mangement, Odisha, India., Sahoo Annapurna ,   Institute of Life Sciences, Odisha, India., Panigrahi* Gagan Kumar ,   School of Applied Sciences, Centurion University of Technology and Mangement, Odisha, India.
Published: April 2020

Sustainable development in agriculture is the need of the hour. Extensive use of agrochemicals in the agricultural sector for practices like weed control, pest control, enhancing soil fertility, etc. results in a broad range of uninvited effects not only to the agricultural ecosystem but also to the human health owing to the nondegradable nature of these chemicals. This situation is alarming and of serious concern. It’s high time to curb our dependency on agrochemicals and instead search for other alternatives, most importantly keeping an eye on their environmental impact. In this prospect, eco-friendly strategies should be adopted to ensure safe and healthy agricultural products for the society. Aquaculture being one of the fastest growing food fabrication sectors, thus we majorly focused on community-based aquaculture on the regions of eastern belt of India. The present study is a diagnostic approach that demonstrates how sustainability challenges can be overcome by utilization of local resources.
On Applications of Some Special Functions in Statistics
Authors:   Department of Mathematics M. L. V. Govt. PG College, Bhilwara, Rajasthan, India., Prajapat Radhe Shyam , Bapna Indu Bala ,   Department of Mathematics M. L. V. Govt. PG College, Bhilwara, Rajasthan, India.
Published: April 2020

In this paper we will introduce some probability distributions with help of some special functions like Gamma, k- Gamma functions, Beta, k-Beta functions, Bessel, modified Bessel functions and Laguerre polynomials and in mathematical analysis used Laplace transform. We will also obtain their cumulative density function, expected value, variance, Moment generating function and Characteristic function. Some characteristics and real life applications will be computed in tabulated for these distributions
Modeling the Impact of Foreign Investment Flows Taking into Account Time Lags in the Context of their Impact on the Regional Production
Authors:   Department of business economics and human management, Faculty of Economics, Chernivtsi National University, Chernivtsi, Ukraine., Liubov* Vodianka , Vira Kozak ,   Department of business economics and human management, Faculty of Economics, Chernivtsi National University, Chernivtsi, Ukraine., Valentyna Skulyak ,   Department of Finance, Bukovinian University, Chernivtsi, Ukraine
Published: April 2020

Peculiarities of regional processes of foreign direct investment impact on the gross domestic product of Western Ukraine and Chernivtsi region, taking into account a time lag, are reviewed in this article. Considering the fact that investment processes are enough complicated phenomenon to understand in the course of which different kinds of changes occur, the relevance and importance of establishing a pattern of their behavior is increasing. Economical and mathematical tools, in particular Almon distributed lag models which allow to estimate the discrete lag influence of determinants can be used to achieve this. In the course of the study, the Almon distributed lag models were constructed separately for the comparison, time lag interval boundaries were set, the main features of the discrete time lag distribution during the lag period were determined, and the economic and mathematical models of the distributed lag for the effects of foreign direct investment on the gross regional product of Chernivtsi region Western Ukraine were built. On the basis of the obtained results, conclusions about economic multiplier processes of the investment were made in the context of individual territories and the main trends of the investment flow return were defined.
Relationship between Technological Advancement and Agricultural Production: Evidence from India
Authors:   Department of Economics, Dibrugarh University, Assam, India., Handique Chumki
Published: April 2020

Indian economy has more than 60% of the work force engaged in it and with the sectoral contribution of 17-18% to country's GDP in 2018-19. Despite such heavy dependence and high significance of the agricultural sector, per capita productivity in agriculture over the past few decades is less in comparison to the productivity in other sectors. Available statistics shows that agricultural production has rose marginally during the period of green revolution (starting in 1960s) which was driven by the technology revolution. Technology revolution here means- ‘seed-fertiliser-water technology’ or modern technology. In the present study, a detailed time series analysis for a time period of 36 years (1981-2017) is made to study the impact of technology in production in both the short run and long run. Firstly, the present status of technology use is studied and secondly a crop-output model is considered depicting the role of technology in production of India. Here, the impact of technology is measured using variables such as gross irrigated area, Pesticide use, Synthetic nitrogen fertilizer (NPK) uses, use of improved seed varieties (HYVs) etc. and their impact upon agricultural production (food grains as well as non-food grains) is tested using various econometric tests such as Johansen Co-integration test, regression estimates etc. A composite index has been constructed using PCA method as a proxy to technology. To examine the linkage between technological advancement and agricultural production in India, we employed the Vector auto regression (VAR) model proposed by Sims. To draw inferences on the results of VAR, we also used forecast error variance decomposition (FEVD) which gives both short-run impact and long-run impact of each variable in explaining the forecast error variance of the dependent variable.
Design and Development of Competency-based Instructional Model for Instruction Delivery for Learning Disabled using Case Based Reasoning
Authors:   Department of Systemics, University of Petroleum and Energy Studies, Dehradun, India., Bisht* Akanksha , Ahuja Neelu Jyothi ,   Department of Systemics, University of Petroleum and Energy Studies, Dehradun, India.
Published: April 2020

Pedagogical policies are designed for organizing and sequencing the instruction plan provided to the learner, for supporting learning activities and deciding which learning environment will be suitable for what kind of learner. In this paper, a multi-level pedagogy model named competency-based instructional model (CBIM) is presented for LD learners. The pedagogy policies are recommended based on the CBIM model, it takes problematic skills of the learner as input and delivers a learner-centric instruction plan (IP) according to the problematic skill. For the implementation of CBIM model, case-based reasoning approach is used and CBRI and observation models are proposed.
Response Surface Optimization of Yield of Agarwood (Aquilaria Malaccensis) Leaf Extract using Soxhlet Extraction
Authors:   Department of Biotechnology, Kulliyyah of Engineering, International Islamic University Malaysia, Gombak, Malaysia., Zainurin* Nur Aimi Aliah , Samsudin Nurhusna ,   International Institute for Halal Research and Training, International Islamic University Malaysia, Gombak, Malaysia., Hashim Yumi Zuhanis Has-Yun ,   International Institute for Halal Research and Training, International Islamic University Malaysia, Gombak, Malaysia., Al-Khatib Ma’an Fahmi Rashid ,   Department of Biotechnology, Kulliyyah of Engineering, International Islamic University Malaysia, Gombak, Malaysia, Azmin Nor Fadhillah Mohamed ,   Department of Biotechnology, Kulliyyah of Engineering, International Islamic University Malaysia, Gombak, Malaysia., Maifiah Mohd. Hafidz Mahamad ,   International Institute for Halal Research and Training, International Islamic University Malaysia, Gombak,
Published: April 2020

from plant materials are continuously being tested using various techniques in the quest to find new therapeutic agents including from agarwood species. To date, the current existing method and parameters of extracting A. malaccensis leaves are still indefinite. Hence, this study was carried out to redefine the standard method of Soxhlet extraction by optimizing the parameters in order to maximize the yield of A. malaccensis leaves. The yields of Aquilaria malaccensis leaves extract (ALEX) were statistically optimized using Response Surface Methodology (Central Composite Design) with two factors: (A) extraction time (12, 15 and 18 hours) and (B) solid to solvent ratio (1:50, 1:60 and 1:70). The optimization of ALEX yield revealed that Run 5 had the highest yield of 184.482 ± 5.849 mg/g (18.45% wt/wt) with A: 18 hours and B: 1:70 while the lowest yield was at Run 12, 160.173 ± 15.342 mg/g (16.02% wt/wt) with A: 12 hours and B: 1:70. Subsequently, the analysis of variance (ANOVA) revealed that optimization study was well explained by a quadratic polynomial model (R2=0.7964 and Adj. R2=0.6510) implying the acceptable accuracy and general availability of the polynomial model. The data presented that only the effect of A was highly significant (P-value = 0.0123) towards the yield of ALEX although the interaction between variables A and B were significant as indicated by a small P-value=0.0220 (<0.05). Subsequently, the model validation showed that the experimental value accorded considerably well with the predicted value and ultimately the yield of ALEX was successfully optimized.
Design and Implementation Web-Based System for Course Files Management by using WEBML Methodology: A Higher Education Perspective (King Khalid University)
Authors:   Management Information Systems Department College of Business, King Khalid University, Abha, Saudi Arabia, Nasr Osman A. , Hassanen Mohammed A. ,   Management Information Systems Department College of Business, King Khalid University, Abha, Saudi Arabia, Ahmed Ahmed A. ,   Management Information Systems Department College of Business , King Khalid University, Abha, Saudi Arabia, Ebrahim Fath Alrahamn T. ,   Management Information Systems, Department College of Business, King Khalid University, Abha, Saudi Arabia
Published: April 2020

Online System course file management aims to keep a full archive of the course file as it can be used in educational institutions or colleges for the quality of the educational service and its development later, this system depends on the standards of quality of national and international educational institutions, also the proposed system allows to retain The course file can be tracked and the decision can be adopted by the quality unit. The role of the Quality Unit comes by reviewing the course file and ensuring that its contents are complete in accordance with the standards of quality of national and international educational institutions, and accordingly the course file is approved or returned due to incomplete file. This research was based on the WEBML methodology, which aims to develop web-based information systems, and has used many tools to implement this methodology, including UML, in order to build analysis and design schemes for the proposed system as well as design the interfaces of the proposed system.
Dbscan Assisted by Hybrid Genetic K Means Algorithm
Authors:   Assistant professor in Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam, Suresh Dr. K. , Chandusha Mrs. K. ,   Assistant professor in Anil Neerukonda institute of Technology & Sciences, Visakhapatnam.
Published: April 2020

The data mining algorithms functioning is main concern, when the data becomes to a greater extent. Clustering analysis is a active and dispute research direction in the region of data mining for complex data samples. DBSCAN is a density-based clustering algorithm with several advantages in numerous applications. However, DBSCAN has quadratic time complexity i.e. making it complicated for realistic applications particularly with huge complex data samples. Therefore, this paper recommended a hybrid approach to reduce the time complexity by exploring the core properties of the DBSCAN in the initial stage using genetic based K-means partition algorithm. The technological experiments showed that the proposed hybrid approach obtains competitive results when compared with the usual approach and drastically improves the computational time.
Enhancing the Efficiency of Gasoline Engines using Solar Powered Supercharger
Authors:   Principal in-charge Government Polytechnic Sheikhpura, Bihar, Pathak* Dr. Kamal Kishore
Published: April 2020

The world presently depends heavily on non-renewable sources of energy like crude oils. These conventional energy sources have certain limitations, that is, they will eventually run out, fuel prices can rise without warning and most importantly growing environmental concerns over the climate change associated with the release of CO2 on burning fossil fuels[1]. Renewable energy is the key to a clean energy future. In the last few decades, solar energy is the fastest growing renewable energy source[2]. We can harness this energy of the sun in increasing the efficiency of our automobiles. Forced induction system (supercharger and turbocharger) in automobiles helps in the improvement of the efficiency of internal combustion engines by pushing extra atmospheric air into the cylinder which results in the proper combustion of fuel and thus reducing the smoke from the exhaust gas. Conventional Supercharger draws power from the engine and though the overall mechanical efficiency is increased but some energy is lost in powering the supercharger. The main purpose of this paper is to develop a solar-powered supercharger which will not consume extra power from the engine and thus increase the overall efficiency of the engine along with a reduction in CO2 emission.
Impact of GST on Textile Shops in Ernakulam District.
Authors:   M.com (Finance and System) Department of Commerce and Managemen Amrita school of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham, S* Sreelakshmi V. , Baiju Varsha ,   M.com (Finance and System) Department of Commerce and Management Amrita school of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham, Rajani K.G. ,   Assistant Professor Department of Commerce and Management Amrita school of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham
Published: April 2020

Goods and services tax (GST) is an indirect tax charged on the supply of various goods and services. It principle of destination based taxation consumption. This study looks into the effect of GST on textile shops in Ernakulam District, Kerala, India. In India, this tax system plays a significant role not in the ground of textile sectors but also in the field of many other sectors that deals with money matters. The study is done by way of data collection. 50 questionnaires were issued for the collection of data in different textile shops. The conclusion of the study is that there is a makeover in sales volume with respect to GST and a great impact in the cost of textile products after thearrival of GST. At the same time there is a slight change in the profitability of textile shops.
Behavioural Finance: a Literature
Authors:   Faculty, Central University, Andhra Pradesh, India., Manasa Dr. B. R.
Published: April 2020

Behavioral finance is a systematic study of investors’ investments in the stock market, and various investments avenues are available in the market, every individual, professional investors, and financial service firm’s deal with different securities for maximization of profits and minimization of risk during the process, so many biases knowingly and unknowingly involved by the investors.