bluuebunny/crossref_metadata_2025 huggingface dataset:
Cumhuriyet Dönemi İlkokul Hayat Bilgisi Ders Kitaplarında İnsan Hak ve Sorumluluklarının Gelişimi
Authors: ÖRS Esra , ŞİMŞEK Ahmet
Published: June 2022

Bu araştırmanın amacı, cumhuriyetin kuruluşundan günümüze

kadar, ilkokul Hayat Bilgisi ders kitaplarındaki insan hak

sorumluluklarının yer alışını incelemektir. Bunun için ilkokul 3. sınıf

Hayat Bilgisi ders kitapları odaklanılmıştır. Amaçlı örnekleme tekniği

ile her on yıldan bir ya da iki kitap seçilmiştir. Araştırmada nitel

araştırma yöntemlerinden doküman analizi kullanılmıştır.

Araştırmadan elde edilen veriler içerik analizi ve betimsel analize tabi

tutulmuştur. Araştırmadan elde edilen verilere göre, 1930-1950 yılları

arası ders kitaplarında millileşme vurgusu ön planlandadır. 1960’lı

yıllarda insan hak ve sorumluluklarının oldukça sınırlı sunulduğu

görülmüştür. 1970’li yıllardan sonra insan hak ve sorumlulukları

bağlamında bir ilerleme olmuştur. Ancak daha çok itaatkâr vatandaş

modeli benimsenmiştir. Bu durum ders kitaplarında 1980’lere kadar

sürmüştür. 1982 Anayasasının etkisiyle ders kitaplarında insan

hakları, önceki yıllara göre önemli bir gelişme göstermiştir. Ancak asıl

iyileşme 2000’li yıllarda meydana gelmiştir. Bu gelişme, özellikle hak

ve sorumlulukların çeşitliliği bakımından yaşanmıştır. Bunlardan öne

çıkan iki kavram “özel hayatın gizliliği” ve “adil yargılanma”dır.

Sonuç olarak Türkiye’de, eğitim aracılığıyla dönemin düşünce

yapısına uygun vatandaş yetiştirmek amaç edinilmiştir. Vatandaşlık

eğitimini de konu edinen Hayat Bilgisi ders kitaplarının, dönemlerin

zihniyeti ve güncel sorunlarından etkilendiği söylenebilir.
A Lacanian Perspective on Face and Identity in Ariel Dorfman’s Mascara
Authors: EREN Fatma
Published: June 2022

In this study, the unnamed narrator of Ariel Dorfman’s Mascara, who has a congenital facial peculiarity, is examined through Jacques Lacan’s critical ideas on the formation of the subject. Lacan gives an extensive account of the process of the individual’s becoming a subject and the positions this subject takes in relation to the social structures. The subject’s tendency to conform to the norms of society is closely intertwined with a continuous “desire” that arises in relation to an existential lack. For someone having an atypical appearance, just like the protagonist in Mascara, the burden on this lack is doubled because he lacks both in being and in the face, the most critical body part in an assigning identity to an individual. Due to his featureless face, the unnamed narrator in Dorfman’s novel is conferred a devalued status offered by the wider society as the Other. Highly aware of his status as an outsider, the narrator believes that it is possible for him to become visible and ordinary through someone’s love. Although his “desire” to be recognized by a woman costs him his life, neither his death nor the absence of a physical face prevents the unnamed narrator in Mascara from getting what he demands, which is remembrance. Drawing on the theoretical framework by Lacan, this article offers that the occurrence of facial stigma as a subordinate social category is due to a set of social expectations that are transformed into “ideal” and “standard.”
Metinsel-Aşkınlık İlişkileri Bağlamında Orhan Pamuk Romanlarında İzleksel Çerçeve
Authors: KUNDURACI Gizem
Published: June 2022

Metinsel-Aşkınlık ilişkileri, yazınsal bir metnin kendisi dışındaki anlatılarla bir arada okunmasını mümkün kılan, büyük ölçüde eşsüremli gerçekleşen okuma edimine bağlı olarak ortaya çıkan ve bu okuma tecrübesine bağlı biçimde tespit edilen yazınsal ya da sanatsal ilgiler bütünüdür. Bu ilgiler, bilhassa Orta Çağ karnaval kültürünün edebiyata tezahürüyle edebiyatta söyleşim ve çokseslilik olgularıyla beraber izlenmekte; postmodernist metinlerle birlikte metinsel-aşkınlık ilişkilerinin estetik birer öge hâlini aldığı tespit edilmektedir. Metinsel-aşkınlık biçimleri, alıntılama, anıştırma, epigraf, içanlatı gibi göndergesellik eksenli ortakbirliktelik ilişkileri; öykünme (pastiş), yansılama (parodi), alaycı (gülünç) dönüştürüm gibi türev ilişkileri ve yenidenyazım çerçevesinde gerçekleşen metin-ötesi ilgilerden oluşmaktadır. Orhan Pamuk romanları, yenilikçi ve deneysel roman çizgisinde değerlendirilmektedir. Bu roman kuruluşunda metinsel-aşkınlık ve estetiksel-aşkınlık biçimleri birer estetik unsur olmanın yanında, kuramsal dayanaklar olarak romanların biçemsel çerçevelerini oluşturmaktadır. Gérard Genette’in metinsel-aşkınlık ilişkileri tasnifi temelinde ele alınan Orhan Pamuk romanlarında metinsel-aşkınlık ilişkileri, üst-metinsellik, yorumsal üst-metinsellik, ana-metinsellik ve göndergesellik ilişkisi ekseninde kurgulanmış ve bu eserler kanonlaşmış başka eserlerle anlamsal bir bütünü oluşturacak biçimde örüntülenmiş görünmektedir. Metni ve metin ötesini meydana getiren her bir ilginin, izleksel veya kuramsal bir anlamı teşkil edecek biçimde kurulduğu anlaşılmaktadır. Üst-metin ve yorumsal üst-metin çerçeveleriyle büyük ölçüde romancılığındaki kuramsal doğrultuyu sağlamakta olan Pamuk, göndergesellik ve ana-metinsellik uygulamalarıyla kendi roman kuramının izleksel çerçevesini oluşturur. Metinsel-aşkınlık biçimleriyle Pamuk, romanlarının temel izleklerini meydana getiren Doğu-Batı, eş-ruh ve baba-oğul izlekleri etrafında “kimlik” ve “kendilik” olgularını vurgular görünmektedir.
Deniz Müzesi Komutanlığı’ndaki Mezar Taşları
Authors: DOĞAN Muhammed Emin , GÖKLER Burak Muhammet
Published: June 2022

Türk-İslam sanatının önemli yansımalarından birisi olan mezar taşları, kültürel mirasın birer parçası niteliğinde olup formlarıyla, metin içerikleriyle, süslemeleriyle ve serpuşlarıyla ait oldukları dönemleri hakkında bilgiler vermektedir. Elde edilen her bir bilgi o dönemin mezar geleneğini, kültürünü, içerisinde bulunduğu üslubunu, yazı karakterini ve etkileşimini ortaya koymaktadır. Bu hususta çalışmaya konu olan ve bugün İstanbul Deniz Müzesi Komutanlığında sergilenen 16 mezar şahidesi değerlendirmeye alınmıştır. Öncelikle, II. Abdulhamid zamanında 1897’de kurulan ve Anadolu’nun en önemli Deniz Müzesi olan müzenin tarihçesiyle ilgili kısa bir bilgi verildikten sonra müze envanterindeki şahideler incelenmiştir. Şahidelerden 12 tanesinin yeniçeriye ait olduğu, taşların börk, dardağan ve serdengeçti serpuşuyla tamamlandığı görülmüştür. Ayrıca yeniçerilerin ait oldukları bölüklerin remizleri de tespit edilmiştir. Diğer 4 şahideden birisi Has Oda veya Enderun’dan olanların kullandığı zerrin külahına sahipken, üç tanesinde bir başlık söz konusu değildir. Son bölümde ise şahidelerin ve üzerindeki remizelerin değerlendirilmesi yapılarak Anadolu’daki benzer örneklerle karşılaştırılıp mezar taşları içerisindeki yeri ortaya konulmaya çalışılmıştır.
Karamanoğlu Medreselerinde Taç Kapı Yan Nişleri
Authors: FİDAN Mevlüt Anıl , BAŞ Ali
Published: June 2022

Anadolu Selçuklu dönemi ve kendisinin yenilikçi bir ardılı olan Beylikler dönemi mimarisinde, ön cephe kuruluşları; taç kapılar, pencereler, nişler, silmeler, payandalar, köşe kuleleri, çörtenler ve minareler gibi unsurlardan meydana gelmektedir. Yapıların diğer cephelerine oranla daha fazla önem verilen ön cephelerinde yer alan taç kapılar, kendilerine has birtakım farklılıklarla diğer cephe öğelerinden daha belirgin hal almaktadır. Bu çalışmada odak noktamız taç kapıların ana nişini sınırlandıran yan duvarların içine yerleştirilen nişleridir. Biçim özellikleri olarak taç kapıya veya mihraba benzeyen yan nişler, ana nişte derinlik etkisi yaratmaktadır. Son zamanlarda sanat tarihi bilim dalı içerisinde genel yapısal konuların dışında özel ögesel konular üzerine yapılan çalışmalar Türk-İslam mimarisinin sanatsal zenginliklerini de gözler önüne sermektedir. Bu bağlamda çalışmamız, Karamanoğlu Beyliği Medreselerinin yapısal ögesi olan taç kapılarında özel bir öge durumdaki yan nişlerin genel ve ayırt edici özelliklerini ortaya koymayı amaçlamaktadır.
Andriake’den Oinophoros Cinsi İki Kabartmalı Seramik ve Düşündürdükleri
Authors: ÖZ Cüneyt
Published: June 2022

Myra’nın liman yerleşimi Andriake’deki Liman Yapıları ve Şarap İşlikleri’nde yapılan kazılarda ele geçen oinophoros grubundan üç adet kabartmalı seramik parçası bu çalışmanın konusunu oluşturmaktadır. Roma İmparatorluk Dönemi kalıp yapımı kabartmalı seramik gruplarından biri olan oinophoroslar, aynı zamanda “Knidos Kalıp Yapımı Kabartmalı Kapları” olarak da adlandırılmaktadır. Oinophoros grubu seramikleri pelike benzeri amphoralar, yonca ağızlı testiler, pelikeler, lagynoslar, phialeler, pateralar ve insan-hayvan-phallos-grotesk mask şekilli kaplar gibi birçok farklı form barındırmaktadır. Genellikle iki veya daha fazla dişi kalıp kullanılarak üretilen bu kapların bezeme repertuvarında Dionysos kültüyle bağlantılı anlatıların yoğun olarak tercih edildiği görülse de farklı mitolojik olaylar, günlük yaşam, pastoral ve natürmort anlatımlar, araba yarışları ile gladyatör dövüşleri gibi birçok sahne bulunmaktadır. Oinophorosların ilk olarak Augustus Dönemi’nde Knidos’ta üretilmeye başlandığı tespit edilmiştir. Knidos dışında MS 1. yüzyılın ortalarında Pergamon’da, MS 2. yüzyılın ikinci yarısında ise İasos’ta da üretildikleri anlaşılmıştır. Andriake’de ele geçen oinophoros grubu seramikleri phiale/patera ve skyphos olmak üzere iki farklı forma aittir. Bezeme olarak Dionysos kültüyle bağlantılı bağ bozumunda Eros ile natürmort betimler bulunmaktadır. Andriake örnekleri tipolojik analojiye göre MS 1-2. yüzyıla tarihlendirilmiştir. Benzer örnekler, bezeme stili, kil ve astar özellikleri bakımından Andriake oinophoros grubu seramiklerinin Knidos örnekleriyle yakın ilişki içerisinde olduğu görülmektedir. Bu durum oinophoros grubu seramiklerinin Lykia kıyılarındaki dağılımları ve kentler arası ticari bağlantılar hakkında önemli bilgiler sunmaktadır. Ayrıca Myra’nın Andriake limanı aracılığıyla Knidos ile olan ticari bağlantısının hangi yüzyıllarda ne ölçüde olduğuna dair ipuçları barındırmaktadır.
Pythagorasçı Öğretide Din ve Bilim
Authors: SALĞAR Ercan
Published: June 2022

Bu çalışmanın temel amacı, Pythagorasçı öğretide din ve bilim ilişkisinin nasıl kurulduğunu açık ve seçik bir şekilde ortaya koymaktır. Din ve bilim, insanın yaşam serüveninde kendisini ve çevresindekileri anlamlandırmasına ve açıklamasına olanak sağlayan iki önemli disiplindir. Dolayısıyla da bu iki disiplin, tarihsel süreç içerisinde hep karşılıklı bir etkileşim içerisinde olmuşlardır. Bazı düşünürler, din ve bilim arasındaki etkileşimin birbirlerini desteklediğini ve beslediğini öne sürerken, ağırlıkta olan görüş ise, bu disiplinlerin birbirlerine karşıt olduğu ve akabinde onların aynı anda kabul edilmelerinin bir çelişki yarattığıdır. Böylece ikinci anlayışı savunanlar için din ve bilim apayrı alanlar olmalarının yanında birbirleriyle de hiçbir şekilde uzlaşmayan disiplinlerdir. Buna mukabil, Pythagoras ve takipçileri, bir anlamda öncellerine, (Miletli filozoflara) meydan okuyarak, din ve bilimi bir çatı altında sunmuş ve böylelikle de dinin bilime karşıt olmadığını, aksine dinin temelinde bilimin olabileceğini ve hatta bu iki disiplinin aynı amaca hizmet eden tek bir araç olduğunu göstermişlerdir. Pythagorasçılar bu gayelerini, din, müzik ve matematik çalışmalarını birleştiren “harmonia” kavramını keşfederek gerçekleştirmişlerdi.
Fütûhât-ı Feriduniyye’nin Kaynak Değeri Üzerine Bir İnceleme
Authors: ÇİNAR Gülay
Published: June 2022

Fütûhât-ı Feriduniyye 1022/1613-1614 yılında yazılması kararlaştırılan bir Safevî kroniğidir. Ayrıca Türkmenlerin tarihi vesikası olarak da değerlendirilebilir. Zira eser 17. yüzyılın ilk çeyreğinde Deşt-i Gürgen Türkmenlerinin tarihine ışık tutmaktadır. Müellif Muhammed Tahir’in Bistam Türkmenlerinden olması da bu iddiamızı kuvvetlendirmektedir. Bistamî, eserinde Şah Abbas’ın 1015/1606-1607 yılında Esterâbâd’a (Gürgen) Emirü’l-Umera olarak tayin ettiği Feridun Han’ın hayat hikâyesine ve Türkmenler üzerine gerçekleştirdiği fetihlere yer vermiştir. Bu nedenle eser hem biyografi hem de mahalli tarih türüne örnek teşkil etmektedir. Bu araştırmanın amacı ilk olarak Esterabâd valisi Feridun Han-ı Çerkes’in biyografisine ilişkin bilgiler paylaşmaktır. Ayrıca kronikte geçen yer adlarından istifade edilerek Türkmen yurduna dair dikkat çekici detayları ön plana çıkarmaktır. Böylece Türkmenlerin tarihi coğrafyasına ilişkin önemli tespitlerde bulunmaktır. Müellifin Safevî bölgesel yönetimiyle Türkmenler arasındaki münasebetlere ilişkin aktarımlarında resmi tarihçi hüviyetinin ağır bastığı görülmüştür. Görev sorumluluğuyla sarf ettiği öznel ifadeler merkezi yönetimin Sayın Hanîlere bakışını açık etmiştir. Sonuç itibariyle 17. yüzyılın ilk çeyreğinde Safevî İran’ın kuzeydoğu bölgesindeki hâkimiyet sahasının Sayın Hanî Türkmenlerinin yerleşim alanlarını kapsadığı anlaşılmıştır. Bu sahanın kuzeyde Deşt-i Kıpçak’ın bir bölümü, güneyde Bistam ve Damgan, doğuda Bocnurd, Kuçan ve Deregez batıda ise Hazar Denizi ve Mazenderan’ın doğusunu içine aldığı söylenebilir. Mevcut sınırlar dâhilinde Sayın Hanîlerin Safevî hükûmetince isyankâr olarak algılandığı ve tabiiyet altına alınmak üzere politika güdüldüğü anlaşılmıştır. Türkmenlerin karşı direnişleri ve dâhil oldukları savaşlar özellikle Esterâbâd şehri ve çevresinde büyük zayiata ve yıkıma sebep olmuştur.
The Courage to be Disliked
Authors: GİRAY Louie
Published: June 2022

Originally written in Japanese by Ichiro Kishimi and Fumitake Koga, The Courage to Be Disliked is a book that talks about perennial life questions and the liberation of the mind. Incorporating concepts from Adlerian psychology, this is done through a Socratic dialogue in which the philosopher converses with the youth. Divided into five “conversations,” this book is filled with wise gems, in a non-complicated and very accessible manner, that can be utilized in personal and professional areas. This non-fiction book has sold over three million copies and has been translated into many languages. Because of its very relatable and universal values, it is becoming a modern classic. Many readers even describe the book as transformative and paradigm-shifting. This book is highly recommended to young people and professionals in the arena of counseling, teaching, and social work.
Current opportunities for prevention of chronic kidney disease progression in children
Authors: Polkanova V. A. , Voronina E. N. , Pechkurov D. V.
Published: June 2022

Chronic kidney disease is an urgent problem of childhood getting more and more interest on the one hand due to the higher incidence among children and the increased public health expenditures, and on the other hand due to the expanding opportunities for early diagnosis and prevention of the progression of this condition. Renoprotection means a set of measures of accompanying therapy that helps to preserve renal function, and in the case of advanced chronic renal failure — to maintain their residual function. The renoprotective strategy in children differs from that in adults, which is associated with the peculiarity of the causes of chronic kidney disease and the age-related characteristics of the physiology and pathology of body systems.
Clinical manifestations and diagnosis of COVID-19 in children
Authors: Saidova A. Ya. , Ashurova D. T. , Khatamova Z. Z.
Published: June 2022

At the end of 2019, an outbreak of a new coronavirus, SARS-CoV-2, occurred in China. This virus is highly contagious, transmitted by different routes, such as airborne and contact, but most likely among children it is also transmitted by the fecal-oral route. The disease caused by a new strain of coronavirus is COVID-19. An acute infectious disease has become a pandemic and persists to this day. Currently available data suggests that symptoms of COVID-19 in the adult population may be mild, moderate, or severe. But among children, the course of the disease is very different from that in adults with a milder course. The severe course of COVID-19 among children has been associated with the development of multisystem inflammatory syndrome or Kawasaki disease. In addition to the epidemiological history, laboratory and instrumental analysis, the gold standard for the etiological diagnosis of COVID-19 is the identification of the genetic material — the ribonucleic acid of the virus using reverse transcription polymerase chain reaction. Due to the risk of radiation, a chest CT scan in the pediatric population is only recommended when there is a suspicion of COVID-19. For the prophylaxis and prevention of future epidemics, studying the transmission of SARS-CoV-2 among children is especially important, since the majority of asymptomatic cases of the disease occur in this population. So, the purpose of our study is to review the main clinical manifestations and diagnostic methods of COVID-19 in children.
Lipid profile features of newborns from multiple pregnancy in the early neonatal period
Authors: Perepelitsa S. A.
Published: June 2022

Purpose. The study aims at testing selected lipid metabolism indicators in newborns born to multiple pregnancies.

Characteristics of children and research methods. The study included 99 newborns born to multiple pregnancies. The study set comprised 36 twins and 9 triples. Triglycerides and cholesterol were measured.

Results. The content of blood triglycerides in children born of multiple pregnancies varies widely. The study found that 32% of newborns from twins and triplets have low perinatal TG production. For 12,5% of premature babies born 2nd or 3rd from twins or triplets, a critically low TG content (0,01–0,1 mmol/l) is characteristic. The TG content in the blood is not always the same in children at birth. Hypotriglyceridemia is associated with perinatal hypoxia, acute respiratory failure and the development of complications in the early neonatal period.

Conclusion. Children born of a multiple pregnancy, at birth, tend to present with metabolic disorders of triglycerides and blood cholesterol of various degrees. The most characteristic pairs are: a very low TG content (less than 0,2 mmol/L) in one child and an average (0,21–05 mmol/L) in the other. All children from the triplet have different blood triglycerides, regardless of the order of birth. In the course of the early neonatal period the contents of triglycerides and blood cholesterol stabilize, but the triglyceride production rates are different. The most intensive rise is observed in twins with a low content of triglycerides at birth.
Serum neuromodulin content in preterm infants with perinatal lesions of the central nervous system in the first day of life
Authors: Andreev A. V. , Kharlamova N. V. , Kuzmenko G. N. , Pesenkina A. A.
Published: June 2022

Presently, authors of scientific publications pay much attention to the study of individual neuromarkers of damage to the central nervous system in newborns. One such marker is the growth protein neuromodulin.

The aim of the study is to estimate the concentration of neuromodulin in the first day of life in preterm infants with perinatal damage to the central nervous system and compare it with the clinical indicators of newborns in the early neonatal period.

Characteristics of children and research methods. 81 extremely preterm newborns were examined, which were divided into groups depending on the presence of intraventricular hemorrhages: Group 1 — 48 preterm infants in whom intraventricular hemorrhage was verified during the observation in the early neonatal period; Group 2 — 33 preterm infants without intraventricular hemorrhage. Determination of the concentration of the GAP-43 protein in the blood serum was carried out by enzyme immunoassay. The groups were comparable in terms of weight and height parameters, gestational age, the degree of respiratory failure at birth, and the need for mechanical ventilation (p<0,05).

Results. Group 1 had a significantly lower Apgar score at the end of the 1st (p=0,034) and 5th minutes of life (p=0,037) compared to Group 2. A comparative analysis of the concentration of neuromodulin revealed that in preterm infants of Group 1, the values of neuromodulin were significantly higher than in preterm infants of Group 2 (1,469 [1,284; 1;966] and 0,541 [0,461; 0,595] ng/mL, respectively; p<0,001). The degree of intraventricular hemorrhage (r=0,771; p<0,001), the minimum amplitude of the amplitude-integrated electroencephalography (r=–0,404, p=0,004), the Ballard score (r=–0,614, p=0,019) were statistically significantly correlated with serum neuromodulin concentration.

Conclusions. Characteristics of the concentration of GAP-43 in preterm infants with perinatal lesions of the central nervous system are given depending on the presence of intraventricular hemorrhage and the gestational age on the first day of life, significant correlations between clinical data and the level of the studied protein are revealed.
Factors affecting the social insurance compliance of enterprises in Vietnam
Authors:   Department of Business Administration, School of Economics, Can Tho University, Can Tho, Vietnam, et al. Le
Published: June 2022

This article aims to determine the factors affecting the social insurance compliance of enterprises in Vietnam. Based on the economic and behavioral approach, hypotheses on the determinants of insurance compliance are proposed. A sample of 240 enterprises with data on paying insurance premiums for employees in Vietnam from 2016 to 2018 is collected to carry out this research. According to the Probit regression model results, the enterprises' decision to comply with social insurance is significantly positively impacted by the number of employees, the proportion of female employees, the age of the managers, inspectors, and unions. On the contrary, the gender of managers, and non-state enterprises have a negative and statistically significant influence on compliance with social insurance regulations. Besides, the results in Tobit regression models reveal the proportion of female employees, seniority of participation, inspections, unions, and auditors have a positive impact on the level of social insurance compliance of Vietnamese enterprises, while foreign and non-state enterprises have a negative effect on the contribution rate of these enterprises. Most of the previous studies focused on the decision to participate in social insurance without considering the actual payment ratio compared to the regulations, and empirical studies on this topic are still limited in Vietnam. This study can be an empirical basis for managers to minimize the debt of social insurance of enterprises, and increase the responsibility of employers for government regulations related to the protection of workers' rights.
XXVI Международный симпозиум Нанофизика и наноэлектроника", Нижний Новгород, 14-17 марта 2022 г. Влияние химической пассивации поверхности GaAs(001) на анизотропию и ориентацию образующихся на ней нанокластеров золота и их плазмонов
Authors: Берковиц В.Л. , Кособукин В.А. , Улин В.П. , Алексеев П.А. , Солдатенков Ф.Ю. , Левицкий В.А.
Published: June 2022

A principal role of chemical passivation of GaAs surface in the formation of oriented anisotropic on-surface nanoclusters of gold is discussed. The gold nanoclusters are fabricated by thermal annealing of the gold film deposited onto GaAs(001) surface passivated preliminary by an atomic monolayer of nitrogen or sulphur. These atoms forming a crystal lattice are bonded chemically to gallium atoms of the crystal surface to prevent chemical interaction of Au with GaAs. Annealing Au on passivated GaAs(001) surface results in formation of arrays of anisotropic (elongated) nanolusters of chemically pure Au oriented preferably in crystal direction. The presence of strong anisotropy and orientation of Au clusters on passivated GaAs surfaces is established by the methods of probe diagnostics and the optical techniques of reflectance anisotropy spectroscopy and polarized reflection spectroscopy. Within an optical model of plasmon polarizability of elongated Au spheroids, it is shown that the spectral features observed in polarized reflection originate from anisotropic plasmons polarized in Au nanoclusters predominantly in direction on GaAs(001) surface.
Модель для многопараметрического анализа параметров короткоканальных транзисторов типа НЕМТ
Authors: Недошивина А.Д. , Макарцев И.В. , Оболенский С.В.
Published: June 2022

Based on a set of analytical and one-dimensional numerical models an approach to multi-parameter optimization of HEMT transistors for frequency range ∼ 100 GHz is proposed.
Влияние термического отжига на транспортные свойства низкобарьерных диодов Мотта Ti/AlGaN/GaN
Authors: Востоков Н.В. , Дроздов М.Н. , Краев С.А. , Хрыкин О.И. , Юнин П.А.
Published: June 2022

The influence of thermal annealing on the transport properties of Ti/AlGaN/GaN low-barrier Mott diodes with near-surface polarization-induced δ-doping has been studied. It is shown that annealing provides additional possibilities for controlling the effective barrier height of diodes, improving and fine-tuning their transport characteristics. Thermal annealing can be used to fabricate low-barrier diodes designed to operate at high temperatures.
Поляритонный резонанс в автомодуляции асимметричного состояния сверхизлучающего лазера
Authors: Кочаровская Е.Р. , Мишин А.В. , Кочаровский Вл.В. , Кочаровский В.В.
Published: June 2022

Based on the numerical solution to the semiclassical Maxwell-Bloch equations in a one-dimensional model of a superradiant laser with a low-Q symmetric Fabry-Perot cavity, a comparative analysis of the spectrum of polariton modes of the linearized problem and the discrete spectrum of the of quasi-monochromatic generation with weak self-modulation under the condition of strong spontaneous mirror symmetry breaking of the counterpropagating electromagnetic waves, population inversion and polarization of an active medium is carried out. It is shown that the main frequencies of resonant self-modulation of a steady asymmetric superradiant phase state are close to the frequencies of polariton modes that are calculated in the linearized problem for the average level of the population inversion taken from the nonlinear problem and have small decay rates.
Квантовые биения экситонов с легкими и тяжелыми дырками в спектрах отражения в квантовой яме GaAs/AlGaAs
Authors: Михайлов А.В. , Трифонов А.В. , Султанов О.С. , Югова И.Ю. , Игнатьев И.В.
Published: June 2022

In this work we experimentally study dynamics of states of light- and heavy-hole excitons in a quantum well under coherent excitation of both excitonic resonances using co- and cross- linear and circular polarizations of pump and probe beams. In the parameters of excitonic resonances quantum beats are observed. Their polarization-dependent existence is used to determine the structure of states of the light- and heavy-hole exciton system by means of theoretical modelling of experimental data.
Трансформация N-полярных инверсных доменов из буферных слоев AlN в процессе роста слоев AlGaN
Authors: Осинных И.В. , Малин Т.В. , Кожухов А.С. , Бер Б.Я. , Казанцев Д.Ю. , Журавлев К.С.
Published: June 2022

Методами атомно-силовой микроскопии и динамической вторично-ионной масс-спектрометрии были исследованы структурные свойства и структурное совершенство выращенных методом молекулярно-лучевой эпитаксии из аммиака AlxGa1-xN/AlN/Al2O3 гетероструктур с высокой концентрацией кремния в слоях AlxGa1-xN : Si. Показано, что в случае, если буферные слои AlN металлической полярности содержат инверсионные домены азотной полярности, при последующем росте слоев AlxGa1-xN : Si инверсионные домены не прорастают до поверхности, а меняют азотную полярность на металлическую. На месте инверсионных доменов AlN растут уширяющиеся колонны AlxGa1-xN металлической полярности, которые срастаются с окружающей их матрицей металической полярности в однородную пленку. Толщина, на которой происходит полное срастание, увеличивается с увеличением содержания Al в слоях. Ключевые слова: A3-нитриды, инверсионные домены, структурные дефекты, аммиачная-МЛЭ.
Ток утечки через подзатворный диэлектрик в транзисторах с длиной канала до 100 нм
Authors: Шоболова Т.А. , Гасенин В.В. , Шоболов Е.Л. , Оболенский С.В.
Published: June 2022

Опытным путем получена зависимость тока утечки через подзатворный диэлектрик от температуры в металл-оксид-полупроводник транзисторе с проектной нормой 90 нм, изготовленном на структуре кремний-на-изоляторе. Определены вклады таких механизмов переноса носителей заряда в ток утечки через подзатворный диэлектрик толщиной 18 Angstrem, как термоэлектронная эмиссия, полевое туннелирование и эмиссия Пула--Френкеля. Посредством численного моделирования была разработана модель транзистора, калиброванная по геометрическим, структурным и электрофизическим характеристикам изготовленного образца, определено распределение составляющих плотности тока, дрейфовой скорости и поля, ортогональных границе раздела кремний-подзатворный оксид транзистора. Определена длина волны электрона вблизи подзатворного диэлектрика транзистора при максимальной ортогональной составляющей дрейфовой скорости. Показано, что в исследуемых транзисторах основным механизмом переноса носителей заряда через подзатворный диэлектрик является полевое туннелирование. Также для определения вклада эмиссии Пула--Френкеля в ток утечки через подзатворный диэлектрик было исследовано влияние дозы γ-облучения на величину туннельного тока утечки через подзатворный диэлектрик. Показано, что данный вклад является незначительным, так как изменение дозы облучения слабо влияет на туннельный ток утечки. Это характерно для подзатворных диэлектриков высокого качества. Ключевые слова: МОП-транзистор, кремний-на-изоляторе, высокая степень интеграции, субмикронные нормы, короткоканальный эффект, температурное воздействие, туннельный ток, γ-воздействие.
Remote Moderator and Observer Experiences and Decision-making During Usability Testing of a Web-Based Empathy Training Portal: Content Analysis
Authors: Lobchuk Michelle , Bathi Prachotan Reddy , Ademeyo Adedotun , Livingston Aislinn
Published: June 2022

Background

COVID-19 restrictions severely curtailed empirical endeavors that involved in-person interaction, such as usability testing sessions for technology development. Researchers and developers found themselves using web-based moderation for usability testing. Skilled remote moderators and observers are fundamental in this approach. However, to date, more empirical work is needed that captures the perceptions and support needs of moderators and observers in testing situations.

Objective

The aim of this paper was to identify remote moderator and observer participant experiences and their use of certain tools to capture feedback of users as they interact with the web browser application.

Methods

This research is part of a broader study on an educational web browser application for nursing students to learn perspective taking and enhance their perceptual understanding of a dialogue partner’s thoughts and feelings. The broader study used a quantitative and think-aloud qualitative problem-discovery usability study design. This case study explored written accounts of the remote moderator and observer participants regarding their roles, experiences, and reactions to the testing protocol and their suggestions for improved techniques and strategies for conducting remote usability testing. Content analysis was used to analyze participants’ experiences in the usability testing sessions.

Results

We collected data from 1 remote moderator and 2 remote observers. Five themes were identified: dealing with personal stressors, dealing with user anxiety, maintaining social presence, ethical response to the study protocol, and communication during sessions. The participants offered recommendations for the design of future remote testing activities as well as evidence-informed training materials for usability project personnel.

Conclusions

This study’s findings contribute to a growing body of endeavors to understand human-computer interaction and its impact on remote moderator and observer roles. As technology rapidly advances, more remote usability testing will occur where the knowledge gleaned in this study can have an impact. Recommendations based on moderator and observer participant perspectives identify the need for more evidence-informed training materials for their roles that focus on web-based interpersonal communication skills, execution of user testing protocols, troubleshooting technology and test user issues, proficiency in web conferencing platforms, behavior analysis and feedback technologies, and time management.
MRI Brain Tumor Detection Using Deep Learning
Authors: M Navaneetha Krishnan , C Shivaraj
Published: June 2022

Abstract: A neoplasm could be a growth of abnormal cells within the brain. The anatomy of the brain is incredibly complex, with different parts accountable for different system functions. Brain tumors can develop in any a part of the brain or skull, including its protective lining, the underside of the brain (skull base), the brainstem, the sinuses and also the cavity, and plenty of other areas. There are over 120 differing types of tumors that may develop within the brain, counting on what tissue they arise from. a range of imaging techniques, including CT (or CAT) scan, MRI, occasionally an angiogram or X-rays may be wont to identify the tumor, pinpoint its location and/or assess the function of your brain. during this project we propose the Deep learning algorithms to beat the drawbacks of traditional classifiers where tumor is detected in brain MRI using deep learning algorithms. Deep learning and image classifier are often accustomed efficiently detect cancer cells in brain through MRI. Keywords: Brain Tumor, MRI Images, CNN, EfficientNet, deep learning
Flight Price Prediction: A Case Study
Authors: Biswas Prithviraj
Published: June 2022

Abstract—A lot of factors that affect the overall price of airline tickets, including the airline, the date of travel, source, destination, route, duration, and so on. Each provider seems to have its own unique set regulations and methods for determining pricing. Recent breakthroughs in Artificial Intelligence (AI) and Machine Learning (ML) allow for the inference of such principles as well as the modelling of price volatility. This article is a study conducted on predicting flight prices. Utilizing two datasets for testing and training, this study analyses various machine learning methods for predicting flight prices. Keywords—artificial Intelligence, machine learning, air price, prediction model, dataset
Mathematical Modelling and Simulation of Suspension System in MATLAB/SIMULINK
Authors: Narendra More Akshay , Huzefa Shakir Mufaddal , Bobere Prof. Farheen
Published: June 2022

Abstract: The main agenda of the following project is to help understand and appreciate principles and concepts of vibrations through an effective integration of software programs, MATLAB and SIMULINK, with theory. This further highlights the need for integration between mathematical analysis and engineering system design. The combination of MATLAB and SIMULINK is a powerful tool which adds a new dimension to research in vibrations systems control and to the instruction of vibrations courses since it has the promise of aiding us to understand much better the vibrations principle. There are five objectives that we aim in this project and they are listed as below: To present complex modelled imagination with calculated and specific measurements. To design and test machine controls of active suspension and supervisory logic for thefunction of closed loop feedback control. To help calculate the life of vehicle components by analyzing the road shocks transferredfrom the suspension to the chassis through simulation. To assist in the early development of prototype models in leading organizations.To describe the function of each component of suspension system
Harvest Forecasting of Crop Yield Using Machine Learning
Authors: R Ram Prashath , K Krishna Prasad
Published: June 2022

Abstract: As an agriculturally dependent country, India's economic standing is totally and partially reliant on it. Agricultural yield is influenced by Causes include organic, economic, and seasonal factors. Calculation of this country's agricultural output is a major challenge. Taking into account the current population situation Recently, Nowadays, the people that grow these and similar items include Due to the suddenness of the production, it is extremely unstable. environmental factors such as weather and a lack of groundwater resources. The major goal is to collect data that can be used to make decisions. stored and analyzed for crop yield predictions For Machine learning techniques for agricultural yield prediction implemented. This aids farmers in selecting the best crops. appropriate crop In addition, this study tries to provide an enhancement in the world of agriculture, by improving crop production prediction accuracy. A statistical model is constructed using machine learning techniques and sufficient optimizations to produce accurate and precise decisions. The results of this research will assist farmers in selecting the best crops to cultivate based on characteristics such as season and available land, with the least amount of risk. Keywords: logistic regression, naïve bayes, random forest
Exploit in Education of Rishi Aurobinda
Authors: Bhattacharya Tuli
Published: June 2022

Abstract: We proudly and blissfully celebrate 15 August 1947 onwards and on 15 August 1872 a great personality of India was born in then Calcutta now Kolkata who is popularly known as Rishi Aurobindo/ Sri Aurobindo. His full name is Aurobindo Ghose who was a freedom fighter philosopher, poet, journalist, erudite scholar and finally spiritual leader. He founded an ashram in Pondicherry, the International Centre of Education, which still exists today. Aurobindo's Integral Yoga is so named because it seeks to incorporate the essence and processes of the old yogas, blending their methods and fruits into one system. It is integral also insofar as it seeks an integral and total change of consciousness and nature, not for the individual alone but for all of humanity and the entire cosmos. Key Words: Integral, Cultivation, Religion, Integralism, Components
Plant Leaf Disease Predictor Using Deep Learning
Authors: K Senthil Kumar , G Saravanapirakash , N Raghuraman
Published: June 2022

Abstract: Artificial intelligence includes deep learning as a subset. Due to its advantages, autonomous learning and feature extraction have been hotly debated in academic and industrial circles in recent years. Image and video processing, voice processing, and natural language processing have all benefited from it. Simultaneously, it has grown into a centre for agricultural plant protection research, which includes, among other things, plant disease recognition and insect range evaluation. Deep learning can assist avoid the drawbacks of artificially selecting disease spot features, improve the objectivity of plant disease feature extraction, and accelerate research and technological change. In this review, we look at how deep learning technology has progressed in the field of agricultural leaf disease detection in recent years. The current trends and challenges in using deep learning and sophisticated imaging techniques to detect plant leaf disease are discussed in this paper. Our findings are expected to be valuable to researchers interested in detecting plant diseases and insect pests. We also discussed some of the current problems and issues that need to be addressed. Keywords: Analysis, Deep Learning, Prediction, Plant Leaf, Resnet 50
Design and Simulation of Rectangular Microstrip Patch Antenna for 80 GHz
Authors: Reddy Pallavi , Banerjee Ahana , Banerjee Ankita , Santra Arpita
Published: June 2022

Abstract— Wireless technology is one among the foremost significant topics to research within the world of communication systems and therefore the study of communication systems is incomplete without an understanding of the operation and fabrication of antennas. This was the main reason for choosing our mini-project specializing in this field of research. A BroadBand and High bandwidth Microstrip Patch Antenna is chosen for designing and simulation as they have low fabrication cost and hence are manufactured in large quantities. A Rectangular Microstrip Patch Antenna is designed using Rogers RT Duroid 5880 substrate with a ‘tree’ shape. The software used for designing and simulation purposes is Ansoft HFSS 15.0. Keywords— Microstrip Patch Antenna, Rogers RT Duroid 5880, High Bandwidth, Ansoft HFSS 15.0
Power Monitoring in Hybrid Power System With Fault Detection
Authors: K Prof. Kiruthika , C Shreyas Gowda , G Sai Abhilash , K Pratheek
Published: June 2022

Abstract— This project focuses much on the efficiency of monitoring process of Hybrid Power System and Fault detection. It aims to build a hybrid power system which is completely reliable on renewable energy sources on the generation side and monitor the power from Solar and Wind energy sources through a DC microgrid implementation The system is automatic with the use of sensors and controller for monitoring and detecting the possible faults that occur in the DC grid. Faults detected are indicated and in a swift the relay operates protecting the load from possible damage that could occur due to fault. Keywords—DC Nanogrid, Hybrid Energy, Solar, Auduino based, autonomou
MRI Brain Tumor Segmentation Using U-Net
Authors: Gagan K. Rajeev , Shlok B. , Chary Mr. V Rajendra
Published: June 2022

Abstract: A brain tumour is a common but very deadly disease commonly found in adults. A tumour on the brain grows abnormal cells in the brain, which can cause cancer. The most common way to detect brain tumours is Magnetic Resonance Imaging (MRI) scans. From MRI images, information about abnormal tissue growth in the brain is observed. Early detection of brain tumours plays an important role in improving the chances of treatment and increasing the survival rate of patients. There are many techniques for detecting brain tumours in MRI images. These methods face challenges such as locating vegetation. Finding tumours in the brain is an important part. The clinical procedure involves diagnosing MRI images by hand which is complicated, time-consuming and often human error. Semantic classification is often used in medical modelling to identify the exact location and posture of structures in the body and is important for proper diagnosis of medical problems and their treatment. We propose a model that uses the recent success of in-depth learning methods of semantic separation. In Deep Learning, the convolutional neural network (CNN, or ConvNet) is a segment of sensory networks, which are widely used to analyse visual images. The main algorithm used here is U-Net. U-Net is a convolutional neural network created by the division of biomedical images.
Advanced Automatic Car Parking Using Arduino
Authors: Sanhith Katkuri , Raj Bejjanki Sai , Teja Arpula Surya , Badashah Dr. Syed Jahangir
Published: June 2022

Abstract: Vehicle leaving is a significant issue in metropolitan regions in both created and emerging nations. Following the quick increment of vehicle proprietorship, numerous urban communities are inadequate with regards to vehicle leaving regions. This awkwardness is somewhat because of incapable land use arranging and errors of room prerequisites during first phase of arranging. Lack of parking spot, high stopping duties, and gridlock because of guests in look for a stopping place are a couple of issues instances of regular stopping. Equal leaving is normally a driver's most terrible bad dream since, it requires the driver's abilities as well as builds the chance of different drivers finding their left vehicle. Independent vehicle leaving was acquainted with experience the above vehicle leaving issues. Keywords: Ultrasonic sensor, arduino, rf module.
Smart Mirror Using Raspberry PI
Authors: S Dr. Malini , B. S Ruchitha , Shivakumar Sanjana , M. R Tejaswini , Narayan Shriya
Published: June 2022

Abstract— People's lives are clearly being transformed by the impact of emerging technologies. Everything around us has become smart in the last few years. Smart phones, smart cars, and smart watches have become ubiquitous in today's culture. A smart mirror, for example, is a technology that turns an ordinary mirror into a smart gadget. The mirror depicts a beautiful interface for seeing information and one's own reflection. It has two modes of operation: standard and smart. The mirror functions as an ordinary reflecting device in standard mode, while smart mode accepts external commands and displays relevant results. This mirror may be made with a Raspberry Pi, facial recognition software, and voice commands. The standard of living and the quality of life can be improved by employing this smart mirror. Keywords— Internet of Things (IoT), Raspberry pi, Smart mirror, voice commands, Face recognition.
Real-Time Detection and Translation for Indian Sign Language using Motion and Speech Recognition
Authors: Katiyar Swagata
Published: June 2022

Abstract— Being able to communicate effectively is perhaps one of the most important life skills of all. Speaking is the primitive form of communication and it is what enables us to express ourselves. But life can get really difficult if one lacks the gift of auditory capability. These people communicate with something called sign language. Sign language is a distinctive yet exclusive language, which has been developed for deaf community to be a part of the common culture. In India, there is a large population who are dependent on this form of communication. However, due to the lack of awareness of sign language in our day-to-day lives, they feel isolated and disconnected with the world. Therefore, we have created a platform which can bridge the gap of this isolation and misunderstandings, using the concepts of Deep Learning. Sign-L is a sign language translator, which can translate actions to text and voice to actions through animation. Not just translations, but it also provides tutorials to learn sign language and increase the much-needed awareness among others as well. Keywords— Sign language Translation, Communication, Social Services, Tutorial, Web Application
Smart Irrigation
Authors: Ananthan Susheel Sriram
Published: June 2022

Abstract— Agriculture plays a major role in the GDP of the country specially countries like India. It is observed that 70% of India’s population depends on agriculture for employment. As India is the second largest country in the growth of population so it is necessary to increase the rate of production of agriculture to meet the population food consumption rate. IoT as a technology helps the farmers to fight with most of the agriculture problems. One such problem is irrigation. This paper will discuss about the automation of irrigation on the basis Internet Of Things with microcontrollers, sensors and Human Machine Interface that will minimize the number of workers in a crop field, control and save water and electricity, Increase agricultural production using minimal usage of water, minimize manual intervention in watering operations which also preserves plants from fungi. Keywords— Internet of Things, Automation, Irrigation, Sensors, Microcontroller