bluuebunny/crossref_metadata_2025 huggingface dataset:
Analytic Philosophy, the Ancient Philosopher Poets and the Poetics of Analytic Philosophy
Authors: Rowett Catherine
Published: April 2021

The paper starts with reflections on Plato’s critique of the poets and the preference many express for Aristotle’s view of poetry. The second part of the paper takes a case study of analytic treatments of ancient philosophy, including the ancient philosopher poets, to examine the poetics of analytic philosophy, diagnosing a preference in Analytic philosophy for a clean non-poetic style of presentation, and then develops this in considering how well historians of philosophy in the Analytic tradition can accommodate the contributions of philosophers who wrote in verse. The final part of the paper reviews the current enthusiasm for decoding Empedocles’ vague and poetic descriptions of the cosmic cycle into a precise scientific periodicity on the basis of the recently discovered Byzantine scholia on Aristotle. I argue that this enthusiasm speaks to a desire for definite and clear numerical values in place of poetic motifs of give and take, and that this mathematical and scientific poetic is comparable to the preferred poetic of analytic philosophy.
KABAK VE KAYISI ÇEKİRDEĞİ YAĞLARININ YAĞ ASİDİ KOMPOZİSYONU, BİYOAKTİF ÖZELLİKLERİNİN BELİRLENMESİ
Authors: YÜCELŞENGÜN İlkin , YÜCEL Ersin , KILIÇ Gülden , ÖZTÜRK Berna
Published: April 2021

Bu çalışmada, Ankara’da yetiştirilen kabak çekirdeği ve Malatya’da yetiştirilen kayısı çekirdeğinden elde edilen sabit yağların yağ asidi kompozisyonları ve biyoaktif özellikleri incelenmiştir. Kabak ve kayısı çekirdeği yağlarının bileşiminde bulunan ana bileşenler linoleik ve oleik asit olarak tespit edilmiştir. Kabak ve kayısı çekirdeği yağlarının toplam fenolik madde miktarı sırasıyla 123.60 ve 86.75 mg GAE/100 g olarak belirlenmiştir. DPPH yöntemine göre kabak ve kayısı çekirdeği yağlarının antioksidan aktivite değerleri sırasıyla %46.53 ve %39.61 iken ABTS yöntemine göre değerler %74.73 ve %49.05 olarak tespit edilmiştir. Kabak çekirdeği yağına karşı en hassas mikroorganizma Escherichia coli O157:H7 olarak tespit edilirken, Listeria monocytogenes, Enterococcus feacalis ve Salmonella Typhimurium, kayısı çekirdeği yağlarına karşı en hassas mikroorganizmalar olarak belirlenmiştir. Sonuçlar, sabit yağların gıda endüstrisinde doğal antioksidan ürünler olarak kullanılabileceğini göstermiştir.
Preimplantation genetic testing for inherited immunodeficiency
Authors: Rechitsky Svetlana , Pakhalchuk Tatiana , Prokhorovich Maria , San Ramos Geraldine , Verlinsky Oleg , Kuliev Anver
Published: April 2021

Preimplantation genetic testing (PGT) has become a practical tool for at risk couples to avoid affected pregnancies and have a healthy progeny free from genetic and chromosomal disorders. PGT is also an option for stem cell transplantation treatment through combining PGT with preimplantation HLA typing for couples with children affected by congenital disorders, for whom no other alternative therapies are available, such as for congenital immunodeficiency. We present here our experience of 135 PGT cycles performed for 74 couples at risk for producing offspring with 18 different congenital immunodeficiencies, resulting in birth of 54 healthy children free from inherited immunodeficiency, which is one of the world’s largest PGT series for immunodeficiency.
Treatment of female stress urinary incontinence with transobturator suburetral band compared with single incision sling: 7-year follow-up
Authors: Badillo-Bercebal Carmen E , De-Miguel-Manso Sonia , García-García Elena , Viruega-Cuaresma Dakota , Gobernado-Tejedor Julio A , López-País María
Published: April 2021

Objetives: Compare the efficacy and post-surgical complications of single-incision sling (SIS) and transobturator band (TO) for the treatment of stress urinary incontinence (SUI) over 7 years’ follow up. Methods: This is a prospective observational study that included 289 women with SUI who went under surgical treatment, either TO (109) or SIS (180). Patients were evaluated pre- and postoperatively through anamnesis, physical examination and ultrasound. Epidemiological information, complications and surgical time were recorded. The primary outcomes were total continence, objective and subjective cure rates at 7-year follow-up. Statistics: T-Student or U-Mann-Whitney for quantitative variables, Chi-Square for qualitative variables. Results: The groups were similar regarding demographic and medical history parameters, except for age and arterial hypertension, which were higher in TO group, and that SIS patients were more physically active tan TO patients. The TO band compared to SIS associated with increased frequency repair of pelvic organ prolapse. Depending on the type of urinary incontinence, pure SUI was more frequent in SIS and mixed in TO. The duration of the surgery was shorter with SIS. During the 7-year follow up there were no differences in the objective cure, subjective cure and complication rates. Conclusion: After 7-years follow-up, no significant differences were found with regard to subjective and objective outcomes, and post-surgery complication rates between the single incisión sling and the transobturator band.
Argumentasi Fatwa Dar Al-Ifta Al-Mashriyyah tentang Shalat Jum’at dalam Jaringan (Daring)
Authors: Nugroho Fahmi Hasan , Hidayat Muhammad Syarif
Published: April 2021

Penelitian ini menganalisis argumentasi fatwa dari Dar al-Ifta al-Mashriyyah terkait shalat Jum’at yang dilaksanakan melalui jaringan, baik bermakmum melalui radio maupun melalui panggilan video online. Penelitian ini menemukan bahwa Dar al-Ifta al-Mashriyyah menyatakan bahwa shalat yang dilakukan melalui jaringan radio ataupun internet tidak sah dilaksanakan karena tidak memenuhi syarat sah shalat jum'at yaitu dilakukan secara berjamaah serta imam dan makmum berada di tempat yang sama. Argumentasi terkuat yang diajukan oleh Dar al-Ifta al-Mashriyyah adalah tiga argumentasi ijma’, yaitu ijma’ bahwa khutbah adalah syarat sah shalat Jum’at, ijma’ bahwa shalat Jum’at harus dilaksanakan secara berjamaah, dan ijma’ bahwa shalat Jum’at hanya dapat dilaksanakan di masjid. Selain argumentasi ijma’, Dar al-Ifta al-Mashriyyah juga berargumentasi dengan sunnah Rasulullah dalam pelaksanaan shalat Jum’at dan sejumlah argumentasi lain. Penelitian ini merupakan penelitian hukum normatif dengan pendekatan klinis hukum (istinbath al-hukm). Data yang dikaji dalam penelitian ini adalah lima buah fatwa Dar al-Ifta al-Mashriyyah yang dirilis antara tahun 1950 hingga tahun 2020
VALUES AND PSYCHOLOGICAL WELLBEING OF YOUTH: A SUSTAINABLE INTERCONNECTION
Authors: Gangopadhyay Mayurakshee
Published: April 2021

Values play the most influential role in the well-being of individuals with a particular focus on youth and their development. Psychological well-being refers to how people evaluate their lives. The purpose of this study was to determine the impact of values on the psychological well-being of adolescents. Using a quantitative research method, a sample of 300 adolescents aged 18 to 21 years was selected. The Personal Values Questionnaire by Sherry and Verma, the Psychological Well-Being Scale by Sisodia and Choudhary and the General Information Schedule were provided to them. The results showed that the dimensions of personal values have a significant positive correlation with the dimensions of adolescent psychological well-being. All dimensions of psychological well-being are shown to be positively predicted by values.
INTERNALISASI NILAI-NILAI PENDIDIKAN KARAKTER DI SEKOLAH PADA PESERTA DIDIK JURUSAN TBSM MELALUI KETELADANAN DAN PEMBIASAAN GURU PAI
Authors: Tantan Tantan Heryadi , Nursobah Asep
Published: April 2021

Sebuah tantangan yang dihadapi oleh seorang pendidik untuk Menginternalisasikan suatu nilai terhadap peserta didik, upaya yang sudah dilakukan yaitu dengan melalui keteladanan dan pembiasaan guru Pendidikan Agama Islam (PAI), di antaranya dalam bentuk religius, jujur, disiplin, tanggungjawab, serta peduli, lingkungan. Namun masalah kurang menghayati atas nilai-nilai itu belum maksimal. Tujuan penelitian ini ialah untuk mengidentifikasi; 1) tujuan, 2) program, 3) pelaksanaan, 4) evaluasi, serta 5) hasil, internalisasi nilai-nilai pendidikan karakter di sekolah pada peserta didik jurusan TENIK Bisnis Sepeda Motor (TBSM) melalui keteladanan dan pembiasaan guru PAI. Penelitian ini, menggunakan pendekatan studi kasus (case study) dengan metode penelitian kualitatif deskriptif.  Hasil penelitian, ini ialah; 1) tujuan pendidikan karakter di SMK Al Falah Tanjungjaya, bahwa peserta didik harus memiliki karakter atau akhlak serta potensi yang baik dan membentuk peserta didik yang paripurna serta menjadikannya sebagai insan kamil 2) program pendidikan karakter di SMK Al Falah Tanjungjaya yakni dengan melalui program kegiatan keagamaan serta program kegiatan keindonesiaan dan keindustrian, 3) pelaksanaan pendidikan karakter di SMK Al Falah Tanjungjaya ialah dengan melalui tiga tahapan, yakni dengan tahapan transformasi nilai, tahapan transaksi nilai, serta tahapan transinternalisasi, 4) evaluasi pendidikan karakter di SMK Al Falah Tanjungjaya dilakukan oleh musyawarah guru mata pelajaran PAI yang berkoordinasi dengan wakil kepala sekolah kurikulum dan kesiswaan serta kepala program studi melalui cara penilaian harian, mingguan, bulanan dan tahunan, 5) hasil pendidikan karakter, di SMK Al Falah Tanjungjaya dibuktikan dengan perolehan persentase rata-rata sebanyak 13% Peserta didik kadang-kadang, melakukan perbuatan nilai karakter, Sebanyak 33% peserta didik  sering melakukan perbuatan nilai  karakter, serta 54%, peserta didik menunjukkan perilaku baik, yang mengindikasikan pada nilai karakter.
Effect of Aging on Postural tachycardial index in healthy Subjects
Authors:   Tutor, Department of Physiology, SVIMS, SPMCW, Tirupati, Andhra Pradesh, India., K. Pujitha  , Arpana Bhide  ,   Associate Professor, Department of Physiology, SVIMS, SPMCW, Tirupati, Andhra Pradesh, India.
Published: April 2021

Introduction: The change in parasympathetic function is generally known physiological changes in aging of man. The present study was intended to evaluate Postural tachycardial index with age. Aim: To measure basal parasympathetic activity by using Postural tachycardial index in younger and elderly and to observe effect of aging on it. Materials and Methods: The subjects selected are 120 in number with age group 35 to >65 years of both sex and they are categorized into 4 groups based on their age. Group- I: The age of 35-45 years; Group-II: The age of 45- 55 years; Group-III: The age of 55-65 Years; Group-IV: The age of >65 years. PTI was measured by using ECG machine. Results: The examination of parameters body mass index, Heart Rate during resting, immediate standing were estimated for all subjects. The data was analyzed by using descriptive and inferential statistics. Discussion: The findings suggested that the mean of PTI decreases statistically in group III and IV. Conclusion: This study concluded that due to autonomic dysfunction the PTI decreases with increase in age. KEY WORDS: Postural tachycardial index, Body mass index, heart rate, Autonomic dysfunction.
THE EXAMINATION OF THE EFFECTS OF PPAR-A (RS4253778) ON SERUM LIPIDS IN ELITE CROSS-COUNTRY SKIERS
Authors: KAYNAR Ömer , BİLİCİ Muhammed Fatih , SERCAN Canan , ULUCAN Korkut
Published: April 2021

The purpose of this study was to examine the effects of PPAR-a (rs4253778) on serum lipids in elite cross-country skiers. This study included 34 cross-country skiers (23 males and 11 females who participated in the Turkish skiing national team camp). Genotyping for the PPAR-a gene rs4253778 G/C polymorphism was performed by PCR on Tercyk multicanal amplificator and restriction enzyme digestion. Statistical analysis was done by using the SPSS 22.0 package program. Genotypic frequency of the PPAR-a polymorphism was detected in cross-country skiers. PPAR-a GG, GC and CC genotypes were detected as 67.64%, 23.52% and 8.82%, respectively in 34 cross-country skiers while PPAR-a GG, GC and CC genotypes were detected as 47.05%, 16.64%, and 2.94%, respectively in elite males. PPAR-a GG, GC and CC genotypes were detected as 20.58 %, 5.88%, and 5.88%, respectively in females. PPAR-a G and C allele were detected as 49 and 19, respectively in 34 elite endurance athletes. In the present study, the GG genotypes were detected at higher frequencies in elite athletes (67.64% respectively) than GC and CC (23.52% and 8.82%, respectively). The difference between the PPAR-a G/C gene polymorphism of Turkish elite cross-country skiers and serum total cholesterol, HDL- cholesterol, LDL- cholesterol and TG levels was not statistically significant. Although there was not any statistically significant difference between the PPAR-a G/C gene polymorphism and lipid profiles of Turkish elite cross-country skiers, it is foreseen that PPAR-α genes have an important effect on endurance performance in sports requiring endurance such as cross-country skiing.
İSTANBUL İLİ ŞİLE İLÇESİNİN KIRSAL VE KENTSEL BÖLGELERİNDE YAŞAYAN 18-65 YAŞ ARASINDAKİ BİREYLERİN FİZİKSEL AKTİVİTE DURUMLARININ DEĞERLENDİRİLMESİ
Authors: ALBAYLAR Şevket , ÖNER Can , CETİN Huseyin , GÜNER Abdullah Emre , ŞİMŞEK Engin Ersin
Published: April 2021

Bu araştırmanın amacı, Şile ilçesinde kırsal ve kentsel bölgede yaşayan 18-65 yaş arası bireylerin fiziksel aktivite durumlarının ve ilişkili faktörlerin değerlendirilmesidir. Bu amaçla katılımcılara araştırmacılar tarafından hazırlanan anket formu ve Uluslararası Fiziksel Aktivite Anketi (International Physical Activity Questionnaire, IPAQ) kısa formu uygulanmıştır. Her bir bireyin fiziksel aktivite düzeyini belirleyebilmek için dakika, gün ve MET değeri (istirahat oksijen tüketiminin katları) çarpılarak “MET-dakika/hafta’’ olarak bir skor elde edilmiştir. Kategorik değişkenlerin karşılaştırılmasında Ki-kare testi kullanılmıştır. Bütün istatistiksel analizlerde önemlilik seviyesi olarak p<0.05 ve değeri kabul edilmiştir. Çalışmaya toplam 328 kişi katılmıştır. Katılımcıların %56,4 (n=185)’ü kadın, %43,6 (n=143)’sı erkektir. Katılımcıların %51,2 (n=168)’i kırsal, %48,8 (n=160) kentsel bölgelerde yaşamaktadır. Katılımcıların yaş ortalaması 46,8±12,9 yıl idi. Cinsiyetler arasında yaş ortalamaları bakımından farklılık yoktu (p=0,206). Öte yandan kırsal alanda yaşayan katılımcıların yaş ortalaması 48,5±12,4 yıl iken, kentte yaşayanlarda yaş ortalaması 45,1±13,1 yıl idi (p=0,017). Katılımcıların büyük çoğunluğu çalışmakta (%41,8; n=137), ilkokul seviyesinde eğitim düzeyine sahip (%38,7;n=127), evli (%83,5;n=274) ve sigara kullanmamaktaydı (%67,7;n=222). Katılımcıların ortalama MET değeri 3200,7±4400,5 idi. Bu oran kadın katılımcılarda 2151,5±2634 iken erkek katılımcılarda 4558,0±5684 idi (p<0,001). Yerleşim yeri temel alındığında kentsel alanda yaşayanlarda ortalama met değeri 2281,2±2682 iken, kırsal kesimde yaşayanlarda bu oran 4076,4±5429 idi (p<0,001) fiziksel aktivite değerleri kırsal bölgede yaşayanlarda anlamlı olarak fazla bulunmuştur. Sonuç olarak inaktif birey oranının yüksekliği dikkate alındığında toplumun fiziksel aktivitenin önemi konusunda bilgilendirilmesi, farkındalığın arttırılması ve fiziksel aktivitede süreklilik sağlanması amacıyla programlar geliştirilmesi yararlı olabilir.
KAMU DİPLOMASİSİ ARACI OLARAK SPOR DİPLOMASİSİ
Authors: ÖZBEY Ömer , DOĞAN Doğukan , ÇOLAKOĞLU Tekin
Published: April 2021

Kamu diplomasisi, uluslararası alanda geleneksel diplomasinin yeni bir boyutu olarak tanımlanmakta olup, günümüzde uluslararası aktörler tarafından kamuoylarını etkilemek ve kendi belirledikleri amaçlar doğrultusunda hareket etmelerini sağlayan diplomasi aracıdır. Bu doğrultuda devletler kamuoyunun ilgi duyduğu ve takip ettiği spor organizasyonlarından faydalanarak kamu diplomasisi yöntemlerini geliştirmektedir. Uluslararası alanda sportif başarının yumuşak güç unsuru olarak kullanılması ve devletlerin bu çerçevede oluşturdukları imaj, devletlerin dış politika oluşturma ve uygulama yöntemlerini etkilemektedir. Ülkemizin coğrafi konumunun vermiş olduğu avantajların yanı sıra, birçok medeniyete ev sahipliği yapmasıyla oluşan derin tarihsel birikimi, güçlü millet bağı ve bölgesindeki lider konumu göz önünde bulundurulduğunda bu çalışmanın amacı, uluslararası alanda ekonomik, sosyal, siyasal ve kamusal faydalar göz önünde bulundurularak kamu diplomasisi aracı olarak spor diplomasisini etkin ve verimli kullanmaktır.
HAREKETLE BİRLİKTE MOBİLİZASYON YÖNTEMİNİN EKLEM HAREKET AÇIKLIĞI, SIÇRAMA VE PERFORMANSA OLAN ETKİSİNİN ARAŞTIRILMASI
Authors: MENEK Burak , YILMAZ MENEK Merve , TARAKCI Devrim
Published: April 2021

Çalışmanın amacı hareketle birlikte mobilizasyon tekniği ve dinamik germenin hamstring uzunluğu, çeviklik performansı ve horizontal sıçramaya olan anlık etkisinin araştırılmasıdır. Çalışmaya yaşları 20-25 yaş aralığında 48 üniversite öğrencisi alınmıştır. Çalışma öncesi tüm bireylerin demografik bilgileri, hamstring uzunluğu, horizontal sıçrama mesafeleri ve çeviklik performansları değerlendirildi. Hamstring uzunluğu gonyometre, horizontal sıçrama mesafesi mezura, çeviklik performansı ise T-Test ve Illinois testleri ile ölçüldü. İlk değerlendirme sonrasında bireyler yorgunluk oluşmaması için 30 dakika dinlendirildi ve iki gruba ayrıldı. 1. Gruba (Dinamik germe grubu, n=22) hamstring, quadriceps, gastroknemius kaslarına 10 tekrarlı dinamik germe egzersizleri uygulandı. 2. Gruba (Mobilizasyon grubu n=26) ise 10 tekrarlı olacak şekilde quadriceps ve gastroknemius kaslarına hareketle birlikte mobilizasyon, hamstring kasına ise 3 tekrarlı olacak şekilde düz bacak kaldırma tekniği uygulandı. Teknikler uygulandıktan sonra çalışma öncesi yapılan değerlendirme parametreleri tekrar yapıldı. Mobilizasyon grubunun uygulama öncesi ve sonrasındaki değerleri incelendiğinde bütün parametrelerde istatistiksel olarak anlamlı sonuçlar bulunmuştur (p<0,05). Dinamik germe grubunda ise horizontal sıçrama testinde istatistiksel olarak anlamlı bir değişiklik görülmezken (p>0,05), diğer bütün parametrelerde anlamlı fark saptanmıştır. Çalışmanın fark analizi incelendiğinde ise, mobilizasyon grubu değerlerinde dinamik germe grubuna oranla daha anlamlı sonuçlar görülmüştür (p<0,05). Bu çalışmanın sonucunda her iki grupta da anlamlı sonuçlar bulunmuştur. Mobilizasyon tekniklerinin dinamik germeye oranla, sıçrama mesafesi, çeviklik performansı ve hamstring uzunluğu parametrelerinde daha iyi bir gelişim sağlaması sebebiyle aktivite öncesi dinamik germe egzersizleri yerine tercih edilebilir.
SARS-CoV-2 Enfeksiyonunun Mikrobiyolojik Tanısı
Authors: ŞİRİN Mümtaz Cem , SESLİ ÇETİN Emel , ARIDOĞAN Buket
Published: April 2021

Aralık 2019’da Çin’den başlayarak çok kısa bir süre içerisinde tüm dünyayı etkisi altına alan Coronavirus Disease 2019 (COVID-19) pandemisi, bugüne kadar görülen en ciddi küresel sağlık sorunlarından biri haline gelmiştir. Bu süreçte, zamanında ve doğru uygulanan mikrobiyolojik tanı testleri, salgının ve vaka yönetiminin önemli bir parçası olmuştur. Pandeminin başlangıcından itibaren solunum yolu örneklerinde severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA’sını saptamaya yönelik olarak geliştirilen gerçek zamanlı ters transkriptaz-polimeraz zincir reaksiyonu (RT-PCR), en yaygın kullanılan tanı yöntemidir. RT-PCR ile virüs RNA’sının gösterilmesi COVID-19 hastalığının kesin tanısını sağlamakla birlikte negatif test sonucu enfeksiyon olasılığını dışlamaz. Klinik şüpheli olgularda 24-48 saat arayla tekrarlayan örneklerin alınması ve ciddi akciğer bulguları olan hastalarda tanı için alt solunum yolu örneklerinin tercih edilmesi gereklidir. Düşük maliyetli, uygulanması kolay ve hızlı sonuç alınabilen antijen testlerinin kullanımı, viral yükün yüksek olduğu hastalığın akut evresi ile sınırlıdır. Duyarlılık ve özgüllük sorunlarından dolayı antijen testleriyle elde edilen sonuçların RT-PCR testleri ile doğrulanması gerekir. Antikor testleri, virüs ile karşılaşılmış olduğunu gösterir. Hastaların virüse karşı antikor yanıtının değişken ve geç olması nedeniyle antikor testleri, akut dönemde hastalığın tanısında tek başına kullanılmamalıdır. Semptomların başlangıcından 2-3 hafta sonra alınan kan örneklerinde çalışılan antikor testleri moleküler tanıya yardımcı ek test olarak kullanılabilir. Bu derlemede, günümüze kadar elde edilen veriler doğrultusunda SARS-CoV-2 enfeksiyonunun mikrobiyolojik tanısında kullanılan yöntemlerin özellikleri, klinik açıdan sağladıkları avantajlar ve kısıtlı yönleri tartışılmıştır.
Investigation of the Elements of the History of Mathematics in Secondary School Mathematics Coursebooks
Authors: Ceylan Satı
Published: April 2021

This study investigates the use of the history of mathematics in secondary school mathematics coursebooks designed according to the new curriculum prepared in 2018 and to make alternative suggestions in which mathematics history can be used. For this purpose, four mathematics coursebooks, which were decided to be taught in schools affiliated to the Turkish Ministry of National Education for four years as of 2018, were analyzed by document analysis method, and this research attempted to determine to what extent the history of mathematics was used in these coursebooks. While making this analysis and analyzing the data, the categories proposed by Erdoğan et al. (2015) were used, including “historical notes,” “notes on usage areas of mathematics,” “applications with historical notes,” and “historical elements in students‟ extracurricular activities.” As a result of the study, it was found out that the 27 elements of the history of mathematics used in the coursebooks were mostly included at the fifth grade, in thelead-in stage, in the area of learning numbers and operations, in the form of small historical snippets about the historical development of situations other than mathematics. In light of these findings, it can be suggested that the history of mathematics is not used sufficiently in secondary school mathematics coursebooks.
Various Domains of Bond Graph
Authors: Et. al. B. Nagalakshmia,
Published: April 2021

This paper mainly presents the purpose is to discuss the bond graph elements basics and is compared with various disciplines. Among various disciplines only electrical, mechanical, and hydraulics with examples are step by step procedure is explained and designed in bond graph model using 20 sim 4.7.
Dynamic Simulation for Three phase Induction Motor and Speed Control Using Matlab Simulink
Authors: Et. al. P. Rajesha,
Published: April 2021

The use of mechanical energy in daily life including industries and transport applications are increasing rapidly. Induction motor has special advantages because of less cost, reliable, robust and less maintenance when compared to other motors. It also has special features which satisfies all the requirements. On the whole 3-phase IM (Induction motor) plays major role in several applications (i.e. industrial, mechanical). The meticulous behavior of induction motor modeling and speed control can aid for controlling of machine application where flawless results can be obtained. The major faults in the IM effect the air gap flux, where the mathematical modeling can helpful to estimating the errors obtain while designing the motor. The paper represents the bit by bit implementation of 3-phase induction motor modeling and speed control using MATLAB simulation.
Design of Controller for Transition of Grid Connected Microgrid to Island Mode
Authors: Et. al. K.Rayudua,
Published: April 2021

A microgrid is the combination of Distributed generators that interconnected with the main grid to ensure continuity in supply to the load. The operating system will be in grid-connected and the island mode. This paper presents a mathematical model of hybrid microgrid consisting of PV system, wind power generation using DFIG which are integrated to the utility grid and a PI Controller for controlling the transition from grid-connected mode to island mode and normal operation, each DG inverter sated in constant current control mode to provide preset power to the main grid. When it disconnects from the main grid each DG inverter detects and connect to voltage control mode in the islanding situation. The modeling is performed in MATLAB Simulink and results are discussed out to verify the operation of the proposed system
Solution for Optimal Power Flow Problem Using WDO Algorithm
Authors: Et. al. Ranjani Senthilkumara,
Published: April 2021

Wind driven optimization (WDO) algorithm is a best optimization method based on atmospherically motion, global optimization nature inspired method. The method is based on population iterative analytical global optimization for multifaceted and multi prototype in the search domain for constraints to implement. In this paper, WDO algorithm is accustomed to find optimal power flow solution. To find the efficacy of the technique, it is applied to IEEE 30 bus systems to find fuel cost for generation of power as a main objective. Obtained results were compared with other techniques shows the better solution for optimal power flow problem.
Fire Detection and Alarm Using Gaussian Blur Background Subtraction Technique
Authors: Et. al. Bhanumathi. M ,
Published: April 2021

Fire outbreak is a major issue in oil wells, forests, houses, industries all over the world. The damage caused by these types of accidents is tremendous towards nature and humankind. After these incidents, the need for an application for fire detection has increased. However various fire detection systems use temperature or smoke sensors which takes more response time. Moreover, these systems are expensive and are not widely effective, when the fire is placed far away from the detectors. This led to various alternatives such as computer vision, image processing techniques. One of the cost-effective methods would be the usage of surveillance cameras to detect the fire to inform the relevant parties. The proposed research work suggests a method to use surveillance cameras to monitor the occurrence of fire anywhere within the camera range. In this method, an RGB color pattern and motion detection technologies are used to detect the fire by background subtraction method. The choice capacity of fire-pixels is concluded by the force and immersion of the R part. It has been used that finds the boundary of the moving region in the color segmented image and calculates the number of fire pixels in this area. At that point, a fire identification framework is created dependent on this technique to identify fire effectively to spare life and property from fireperil.
An Efficient ensemble of Brain Tumour Segmentation and Classification using Machine Learning and Deep Learning based Inception Networks
Authors: Et. al. R. Aruna Kirithika,
Published: April 2021

In recent times, Brain Tumor (BT) has become a common phenomenon affecting almost all age group of people. Identification of this deadly disease using computer tomography, magnetic resonance imaging are very popular now-a-days. Developing a Computer Aided Design (CAD) tool for diagnosis and classification of BT has become vital. This paper focuses on designing a tool for diagnosis and classification of BT using Deep Learning (DL) models, which involves a series of steps via acquiring (CT) image, pre-processing, segmenting and classifying to identify the type of tumor using SIFT with DL based Inception network model. The proposed model uses fuzzy C means algorithm for segmenting area of interest from the BT image acquired. Techniques like Gaussian Naïve Bayes (GNB) and logistic regression (LR) are used for classification processes. To ascertain all the techniques for its efficiency a benchmark dataset was used. The simulation outcome ensured that the performance of the proposed method with maximum sensitivity of 100%, specificity of 97.41% and accuracy of 97.96%.
Power Quality Improvement Using Dynamic Voltage Restorer for Various Line Faults
Authors: Et. al. S. Balaji,
Published: April 2021

Electrical systems are subjected to a wide range of power quality problems which interrupt production processes. Equipment sensitivity may lead to downtime scrap and capacity losses. Also, good power quality saves more energy and money. One approach to address voltage sag problem is by implementing Dynamic Voltage Restorer (DVR) as it gives compensation to sag, swell, improves the line regulation and restores load voltage within a few milliseconds. DVR are a relatively new static VAR device that has seen applications in a variety of distribution and transmission applications. Due to its miniaturization, and cost reliability it includes fast dynamic response. This proposal presents modelling, analysis of voltage sags and correction of power factor for improved power quality using MATLAB/SIMULINK which includes as PI Controller and Discrete PWM generator for the control purpose of DVR
New Model Of Enhanced Plasticity For Reinforced Concrete Structural Elements That Take Into Account The Effects Of Lateral Loading And Gravity
Authors: Et. al. P Venkat Ram Reddya,
Published: April 2021

Reinforced concrete structures are exposed to a progression of activities all through their life expectancy which may be the purpose behind damage. Subsequently, rehabilitation of existing structures is typically performed either to restore structural limit because of decay or damage or to broaden existing structural limit due to expanded loads. To fortify existing structures, numerous new creative materials like progressed fiber-reinforced polymers (FRPs) are discovered to be acceptable substitute for reinforcing materials like steel. They are actualized to fortify the presentation of structural components in flexure, pivotal, shear, and twist. In a RC outline, migrating plastic pivots in the beam off from the column face is normally prescribed to broaden pliability of the edge. This could be accomplished through rib reinforced FRP retrofit of the joint. Furthermore, to it, thus we execute an expanded pliancy for the concrete structural components like column, beam, chunk, dividers then on. The primary motivation behind a wide range of structural frameworks utilized in the structure type of structures is to transfer gravity and horizontal loads effectively.
An Improved Framework for Bitmap Indexes and their Use in Data Warehouse Optimization
Authors: Et. al. Dr. J. Preetha,
Published: April 2021

Compression technique is basically used to compress the size of table or reduce the storage area. Oracle already gives this feature for the table compression as well as for the index compression. when index is created on particular column of a table then it contain some space, which require some storage or disk space by this technique we can save our disk space because in industry the company have to purchase the disk space  according to the size of the their data and pay according to their disk space. To utilize this disk space for useful records data rather than wasting it. In this paper used the data pump utility for the compression of Bitmap index and table. Data pump utility performed for the logical backups in database.in this paper implemented data pump for compression, to release the space and change the index pointing location. It will not release the space even after deletion of records. This is of special interest for the case to compress the bitmap index and table space along with the’S (Data Manipulation Language).
Industrial Safety Applications Using Wireless Access Panels
Authors: Et. al. Sakam Nagi Reddy,
Published: April 2021

In large numbers of the industrial sectors, wireless networking technologies are acquiring rapid endorsement on account of their cost-adequacy, improved unwavering quality, and adaptability. A wireless network can be characterized as a network of devices, meant as hubs. Their essential usefulness is to corporately detect, accumulate, measure, and distribute data in the general climate. Wireless methods communication without the utilization of wires other than the recieving wire, the Ethernet, and the ground replacing wires. For a few industrial activities, wireless technology bears the cost of savvy and compelling availability arrangements. Utilizing wireless technology there are numerous advantages, for example, distant offices, cycles and field activity which brings about improving productivity, personal time, quicker and more accurate data assortment.
Regular Pertibution Solutions In Fluid Mechanics
Authors: Et. al. Santosh Jakapure,
Published: April 2021

Disregarding the fast advances in both scalar and equal computational devices, the huge number and expansiveness of factors associated with both plan and opposite issues utilize refined and even generally straightforward (parabolized or limit layer) liquid stream models unreasonable. With this limitation, it very well might be presumed that a significant group of strategies for numerical/computational advancement are decreased or surmised models. In this examination a joined perturbation/mathematical displaying approach is created which will give a thoroughly inferred chain of importance of arrangements. These arrangements are described by changing degrees of unpredictability versus logical devotion.
Secure Data Access Control with Cipher Text Update and Computation Outsourcing in Fog Computing for Internet of Things
Authors: Et. al. Shaik Jaffer Vali ,
Published: April 2021

Fog Computing is a region of Computer Science that is under steady construction and development, and related to data security, the worldview turns out to be more solid and secure for IoT's edge stages. The verification of limited memory devices has serious issues since memory utilization is high when applied with different models that have the motivation behind shared confirmation. In this paper, we propose the Novel cipher text-based encryption model (NCEM) which has an information access control plot dependent on Ciphertext-Policy it give information privacy, fine-grained control, and mysterious validation in a multi-authority fog computing framework. The sign cryption and plan cryption overhead for the client is altogether diminished by redistributing the bothersome calculation tasks to fog hubs. The proposed conspire is demonstrated to be secure in the standard model and can give trait repudiation and public unquestionable status. The security analysis, asymptotic multifaceted nature examination, and implementation results demonstrate that our construction can offset the security objectives with useful effectiveness in calculation.
FDEIR: Content-Based Image Retrieval using Fast Demeanor Ensemble Features
Authors: Et. al. Punit Soni,
Published: April 2021

The demand for CBIR-based systems is increasing day-by-day with the increase of its applications. Nowadays, various digital information systems like Medicine, Digital Libraries, Biodiversity information systems, Fingerprint Identification, crime prevention, and many more are in trend, and all these systems need accuracy. Several Automated Systems were earlier developed using features to improve the systems' accuracy, but it introduces complexity and speed. A fast Demeanor Ensemble features-based approach is proposed to cope with this issue, which also deals with accuracy, speeds up the system, and reduces its complexity. Different shape-based features are used to form 3-set composite features, followed by the selection phase where the ALO algorithm is utilized and reduces system complexity. The accuracy of the proposed system is estimated using distance-based matching methods. Correl-1000 dataset is used to analyze the system's performance based on different metrics, and the results show the proposed system's ability.
Modern Swarm Intelligence based Algorithms for Solving Optimal Power Flow Problem in a Regulated Power System Framework
Authors: Et. al. Vijaya Bhaskar K,
Published: April 2021

This paper presents artificial swarm intelligent based algorithms viz., Firefly Algorithm (FFA), Dragonfly Algorithm (DA) and Moth Swarm Algorithm (MSA) to take care of the issues related to optimal power flow (OPF) problem in a power system network. The optimal values of various decision variables obtained by swarm intelligent based algorithms can optimize various objective function of OPF problem. This article is focused with four objectives such as minimization of total fuel cost (TFC) and total active power loss (TAPL); improvisation of total voltage profile (TVD) and voltage stability index (VSI). The effectiveness of various swam intelligent algorithms are investigated on a standard IEEE-30 bus. The performance of distinct algorithms is compared with statistical measures and convergence characteristics.
Service Life Prediction of Concrete Structure Using Life-365 Software
Authors: Et. al. A. Deiveegan,
Published: April 2021

The performances of repaired concrete structures continue to be a major global concern. This is the improvement in repairing materials and method, several repaired concrete structures still fail, leading to costly and time-consuming. This study was conducted to assess the effect of long-term chloride penetration as well as the effect of fly ash, water-cement ratio, and inhibitor on concrete structures to predict its Service life to obtained high strength durable concrete. The water-cement ratio played a vital role, as the water-cement ratio is reducing to get more service life of the concrete and at the value of 0.5, it seems that the peak value of service life of the concrete structure. In this paper, it is generally finding the service life of a concrete structure by reviewing the previous researches and by using Software Life-365.
Diagnostic Breast Cancer Image Data Classification using CNN
Authors: Et. al. K. Karthik,
Published: April 2021

Breast cancer has been  dangerous form of cancer. In this report, we use a convolutional neural network to scan and separate infected cells.In this we diagnose if its benign or malignant cancer bulk using computer assisted detection(CAD). The productivity of open CAD has always been inadequate. Here, we use a deep CNN-based content detection method.We create narrower and broader images of histology patches with cell and tumour attributes. CNN constitutes unorganized data specifically for image data which has been said to be thriving in the area of image recognition .We use highly interconnected layer first cnn, in which those layers are incorporated before the first convolutional layer, since CNN does not support data sets.
Machine Learning based Autonomous Fire Combat Turret
Authors: Et. al. Makrand M Jadhav ,
Published: April 2021

The time lag between the identification and the initiation of the actuation protocol is more in conventional fire combat system. This in turn increases the response time resulting in financial loss as well as injuries to human beings. In this paper an efficient method of fire combat is proposed to eliminate resource loss. This system extinguishes fire before it reaches its destructive level. It eliminates all the flaws of the conventional fire extinguishers and improves the damage limitation by raising an alarm. Further by applying HAAR cascade classifier machine learning algorithm, accuracy of 70-75 % is achieved to detect fire. It also provides minimum latency and optimal response in detecting fires and differentiating them from false triggers. It is observed that the response time of proposed fire combat system is 2-4 seconds. The automatic mode is reliable in the presence of multiple units that are deployed in the same area of interest. The system is able to cover the entire hemispheric 3D volume of the room as per the industrial and domestic safety standards.
Implications of Compulsory Car Accident Insurance Comparative Study
Authors: Et. al. Nadia Yas ,
Published: April 2021

Compulsory civil liability insurance on car accidents is one of the most important topics, which aims to achieve traffic safety and reduce car accidents. Today, car accidents constitute a great danger to human life as they cause different types of physical and moral damages. This study, however, attempts to highlight the effectiveness of compulsory insurance in providing legal protection for damages resulting from car accidents. Such protection can be achieved through the process of creating legal mechanism to enable injured people to refer to insurance companies. It is quite apparent that nobody can deny the importance of insurance and its influence on people’s lives. Insurance companies nowadays have become an essential cornerstone in the economy of any country. An insurance contract has legal consequences on the parties, which leads to corresponding obligations. These parties are committed to comply with these obligations otherwise, any violation will be treated as per the prescribed legal sanctions.  In conclusion, any research or study on the compulsory insurance system whether in the Emirati law or in Islamic Sharia is highly recommended as part of the attempts to solve and rectify any legal and legitimate problems in this system. An essential objective of the Islamic Sharia is to achieve all fair interests of people. Arab and international legislation consider car insurance compulsory with some exceptions in order to compensate all those affected by a car accident. Arab and other foreign laws as well as the legitimate ones have differed in their choices of car insurance basis. Many legislations in the field of compulsory insurance have limited the right of compensation to body damage. Some other legislations have covered damages of property. Most legislations have not specified the amount of compensation that the insurer is obliged to pay in case of injury, death, or property damages. companies.
Higher-Order Phase-Space Reconstruction for Detection of Epileptic Electroencephalogram
Authors: Et. al. Nazia Parveen,
Published: April 2021

In this paper, the authors propose a new technique for the classification of seizures, non-seizures, and seizure-free EEG signals based on non-linear trajectories of EEG signals. The EEG signals are decomposed using the EMD technique to obtain intrinsic mode functions (IMFs). The phase space of these IMFs is then reconstructed using a novel technique of higher-order dimensions (3D, 4D, 5D, 6D, 7D, 8D, 9D, and 10D). The existing techniques of seizure detection have deployed 2D & 3D phase–space reconstruction only. The Euclidean distance of all higher-order PSR is used as a feature to classify seizures, non-seizures, and seizure-free EEG signals. The performance of the proposed method is analyzed on the Bonn University database in which 7D reconstructed phase space classification accuracy of 99.9% has been achieved both using Random Forest classifier and J48 decision tree.
Intelligent Door Knocking Security System Using IOT
Authors: Et. al. Dr. T. J.Nagalakshmi ,
Published: April 2021

In current day security is very important. Nowadays, in all places many robberies are  going on. In this security issue, lock is the major parameter.  The trustworthy on the lock should me made improve. The lock may be for main door lock, baggage lock, shutter lock, grill door lock, interconnecting door lock etc.  This project is based on arduino board and IOT. And also this can be used for main door and for locker door. This lock works based on the knocking pattern. The owners knocking pattern is stored in the register. When the knocking pattern is detected by the sensor, it passes it to the arduino board microcontroller. Based on the trustworthiness of the pattern the lock works. This framework is easy for installation. It can be implemented for commercial use also.
Unsupervised CNN model for Sclerosis Detection
Authors: Et. al. Ms. K. N. Rode,
Published: April 2021

Sclerosis detection using brain magnetic resonant imaging (MRI) im-ages is challenging task. With the promising results for variety of ap-plications in terms of classification accuracy using of deep neural net-work models, one can use such models for sclerosis detection. The fea-tures associated with sclerosis is important factor which is highlighted with contrast lesion in brain MRI images. The sclerosis classification initially can be considered as binary task in which the sclerosis seg-mentation can be avoided for reduced complexity of the model. The sclerosis lesion show considerable impact on the features extracted us-ing convolution process in convolution neural network models. The images are used to train the convolutional neural network composed of 35 layers for the classification of sclerosis and normal images of brain MRI. The 35 layers are composed of combination of convolutional lay-ers, Maxpooling layers and Upscaling layers. The results are com-pared with VGG16 model and results are found satisfactory and about 92% accuracy is seen for validation set.
Personalized Search Engine Using Binary Tree Traversal (BTT) - A Survey
Authors: Et. al. Jose Triny K,
Published: April 2021

Web pages have an increasing number of been used because thepatron interface of many software programsoftwarestructures. The simplicity of interplay with internet pages is an idealbenefit of the usage of them. However, the character interface also can get extracomplicatedwhilegreatercomplexnet pages are used to construct it. Understanding the complexity of net pages as perceived subjectively with the resource of clients is thereforecrucial to betterlayout this sort ofconsumer interface. Searching is one of thenot unusual placeassignmentachievedon the Internet. Search engines are the essentialtool of the net, from whereinyou willcollectassociatedstatistics and searched in keeping with the favoredkey-word given by the character. The recordson theinternet is developing dramatically. The consumer has to spend extra time with inside theinternetin case youneed to find outthe correctfactsthey may befascinated in. Existing net engines like Google do now no longerundergo in thoughtsuniqueneeds of character and serve eachpatron similarly. For this ambiguous query, some offiles on wonderfulsubjects are decreaselower backby engines like Google. Hence it will becomedifficult for the consumer to get the requiredcontent materialfabric. Moreover it additionally takes extra time in searching a pertinent content materialfabric. In this paper, we are able to survey the numerous algorithms for decreasing complexity in internetweb page navigations.
Confidentiality assurance in Multi-agent Robotic System
Authors: Et. al. Zakoldaev D. A.,
Published: April 2021

In this paper, the authors consider the feasibility of using quantum encryption in a multi-agent robotic system. The authors consider examples of such systems, describe the functional structure of the system in question, describe the scheme for ensuring information security. Finally, the authors see the use of quantum cryptographic algorithms appropriate for resolving the issue of confidentiality in multi-agent robotic systems and believe that this method has the potential for further scientific developments in the field of security in multi-agent robotic systems.
Machine Learning Methods Performance Evaluation*
Authors: Et. al. Zakoldaev D. A.,
Published: April 2021

In this paper, we describe an approach for air pollution modeling in the data incompleteness scenarios, when the sensors cover the monitoring area only partially. The fundamental calculus and metrics of using machine learning modeling algorithms are presented. Moreover, the assessing indicators and metrics for machine learning methods performance evaluation are described. Based on the conducted analysis, conclusions on the most appropriate evaluation approaches are made.