bluuebunny/crossref_metadata_2025 huggingface dataset:
Cardiovascular Risk Factors in Pre-dialysis Chronic Kidney Disease patients of Nepal
Authors: Dahal Kashyap , Baral A. , Sah K.K. , Shrestha J.R. , Niraula A. , Hada R.
Published: November 2020

Background and Aims: Cardiovascular disease (CVD) is the commonest cause of morbidity and mortality in patients with chronic kidney disease (CKD) due to increased prevalence of traditional and nontraditional CVD risk factors. Our study aimed to evaluate these risk factors in pre-dialysis Nepalese CKD patients.

Methods: This was a cross-sectional study conducted in Department of Nephrology, Bir hospital. Total 100 consecutive pre-dialysis CKD patients were enrolled. Ten traditional and six nontraditional CVD risk factors were analyzed and compared between CKD stages. Descriptive statistics was used to illustrate the socio-demographic and clinical characteristics, chi square test for categorical variables and multiple logistic regression analysis was done to determine the risk factors of CVD in CKD patients. p-value<0.05 was considered to be statistically significant.

Results: Mean patient age was 52.03}13.64 years with majority (60%) of the patients being male. Comparison of traditional risk factors in different stages depicted similar trend except for old age in Stage 3 CKD (p=0.002). Anemia (p<0.001), hyperphosphatemia (p=0.01), hyperparathyroidism (p<0.01) and cumulative nontraditional risk factors were significantly higher (p=0.01) in stage 5 CKD. The predicted CVD events by Framingham risk score showed high risk in 37% with no significant difference among the stages. Multiple logistic regression analysis showed increased body mass index, low serum albumin and increased serum phosphate as the three significant predictors for left ventricular hypertrophy.

Conclusion: Our study shows that the CVD risk factors were prevailing along the various stages of CKD. The occurrence of non-traditional risk factors increased with increasing stage of CKD.
Enucleation of Extraconal Frontomucocele: A Tripple-Window Approach
Authors: M Irfan , S Dinsuhaimi , AR Roselinda , AS Rani
Published: November 2020

Mucoceles are expansile masses originating in the sinuses. They are relatively unusual, occurring most frequently at fronto-ethmoidal region. They are locally destructive. This expansile lesion caused bony erosion and displaces the adjacent structures. We report a case of a patient who presented to our clinic with bulging of his left eye and worsening of the left vision. This was preceded by history of sport injury to his left supraorbital ridge. CT scan revealed that there was an extraconal lesion at the superolateral part of the left orbital cavity which pushed the orbit inferomedially, which consistent with left frontomucocele. He underwent enucleation of the lesion via 3 windows created namely at the left supraorbital ridge, anterior table of left frontal sinus and through the septum separating the frontal sinuses.
Bilateral congenital renal arteriovenous malformation: A rare entity with uncommon presentation
Authors: H Radhiana , A Mohd Shafie , MA Mohd Ariff
Published: November 2020

Renal arteriovenous malformation (AVM) is a rare congenital anomaly of the urinary system. We present a patient with bilateral renal AVMs who presented with back pain and microscopic hematuria. This case highlights the importance of careful diagnostic work-up in the evaluation of upper tract hematuria.
MİMARİ BAĞLAMI DEĞİŞEN SERAMİK PANOLARIN İNCELENMESİ
Authors: DİNÇER KIRCA Aygün , DİNÇ ÜSTÜNDAĞ Dide
Published: November 2020

Türkiye’de 1960’lı yıllarda, özellikle uluslararası üslup ile inşa edilen pek çok mimari yapıda sanat eserlerine sıkça yer verildiği dikkat çekmektedir. Genellikle mimari tasarım ile sanatsal üretim sürecinin paralel gittiği projelerde, başka bir deyişle mimar ve sanatçının iş birliği ile ortaya çıkan çalışmalarda eserin, yapının asli ögesi olarak çeşitli mekânsal ilişkiler kurduğu ve bu ilişkiler üzerinden izleyici ile iletişime geçtiği görülmektedir. Sanatçı, bir mimari bağlam içinde üretim yaptığı durumlarda eseri de kavramsal olarak bağlam ile ilişkilendirmiş ya da fiziksel özellikleri -ölçüleri, konumu, ışık-renk ilişkileri- aracılığıyla o mekâna ait kılmış olabilmektedir. Her iki durumda da izleyici algısı mekânsal veriler üzerinden şekillenmektedir. Bu çalışmada ele alınan dönemin önemli sanatçılarına ait seramik pano ve rölyefler; yıllar içinde yıkım, yeniden yapım ya da yenilenme gibi nedenlerle farklı konumlarda ve mekânlarda yeniden sergilenmeye başlanmıştır. Konu ile ilgili örnekler üzerinden, eserin parçası olduğu yapı ile kurduğu kavramsal ilişkilerin incelenmesi amaçlanmakta; eserlerin mimari bağlamından koparılarak başka bir yere taşınması ile bu ilişkilerin ne şekilde değişmiş olduğu sorgulanmaktadır.
TÜRKİYE’DE FOTOĞRAF ELEŞTİRİSİ VE FOTOĞRAFIN TEMSİL KRİZİ ÜZERİNE BİR İNCELEME
Authors: YAVUZ Ozan
Published: November 2020

Bu çalışma Türkiye’de entelektüel ve sürekli bir geleneğe sahip olmayan fotoğraf eleştirisi ve buna bağlı olarak temsil krizi ve güncel fotoğraf üretiminin pratik ve kuramsal bağlamda incelenmesine odaklanmıştır. Çalışmanın amacı, Türkiye’de fotoğraf eleştirisi bağlamında ele alınan yazıları değerlendirerek özellikle güncel fotoğrafa karşı oluşan önyargı ve eksik eleştirilerin sebepleri üzerinde durmaktır. Türkiye’de 2000’li yılların başından itibaren ivmelenen güncel öznel yaklaşımlar ve buna karşı oluşan eleştiriler bu çalışmanın ana konusunu oluşturmaktadır. Geniş Açı ve Kontrast fotoğraf kültürü dergilerinin incelendiği çalışma, fotoğraf eleştirisi ve güncel fotoğraf pratiğinin tarihsel ve güncel analizini ortaya koymaya çalışmaktadır. Bu açıdan dergilerde yer alan makaleler, güncel fotoğraf pratiğinin hangi bağlamda eleştirildiğini ve bu bağlamın kuramsal olarak nasıl bir argümanla ortaya çıktığını göstermektedir. Çalışma, modernist eleştirilerin karşısında pratikleşen güncel yaklaşımların daha çok postmodern bağlamda ele alınması gereken sinik bir tavır ile değerlendirilmesini önermektedir. Buradan hareketle çalışma bazı sorulara odaklanmaktadır. Türkiye’de fotoğraf üzerine yapılan eleştirilerin bağlamı nedir; eleştiriler güncel fotoğraf pratiği ve yeni ivmelenmeyi nasıl değerlendiriyor; öznel yaklaşımlar fotografik olarak nasıl bir yöntem bilim ile karşımıza çıkıyor ve bu yeni ivmelenme neden geç avangart olarak adlandırılıyor?
Un précurseur… des food studies : Maxime Rodinson
Authors: Poulain Jean-Pierre
Published: November 2020

Abstract: This article explores the contribution of Maxime Rodinson to the thematisation of food in the Social and Human Sciences (SHS), i.e. its recognition as a legitimate object. Rodinson’s contribution consists in having created the conditions for the socialisation of food. The focused interest in cookery books, as a source of empirical data, has made it possible to situate food in culinary styles, that is to say not only in physical space, but also in social space. Entry through practices has provided access to what he calls “mass effects” that affect society at large. Thus, it has been possible to sociologise the issue by adding to the local, geographical, and cultural locations of food and dishes the consideration of social hierarchies and forms of diffusion, mixing linguistics, history, sociology, anthropology, and geography. Beyond Rodinson’s personal trajectory, which from a personal poly-competence promotes a transdisciplinary approach, the thematisation takes place in a historical and epistemological context marked by the opposition between a spiritual Islamology and evolutionary Marxism. This characterises the period preceding the Iranian revolution and the fall of the Berlin Wall.

Résumé : Cet article étudie la contribution de Maxime Rodinson à la thématisation de l’alimentation dans les Sciences humaines et sociales (SHS), c’est-à-dire à sa reconnaissance comme objet légitime. Son apport consiste à avoir créé les conditions de la sociologisation des aliments. La mise en évidence de l’intérêt des livres de cuisine comme source de données empiriques a permis de situer les aliments dans des styles culinaires, c’est-à-dire non seulement dans l’espace physique, mais également dans l’espace social. L’entrée par les pratiques a donné accès à ce qu’il appelle des « effets de masse » qui touchent la société de façon large. Ainsi a-t-on pu sociologiser la question en ajoutant à la localisation géographique et culturelle des aliments et des mets la prise en compte des hiérarchies sociales et des formes de diffusions, en mêlant linguistique, histoire, sociologie, anthropologie, géographie… Au-delà de la trajectoire personnelle de Rodinson qui, depuis une poly-compétence personnelle, promeut une approche transdisciplinaire, cette thématisation s’opère dans un contexte historique et épistémologique marqué par l’opposition entre une islamologie spirituelle et le marxisme évolutionniste qui caractérise la période qui précède la révolution iranienne et la chute du mur de Berlin.
Le “7 épices” libanais
Authors: Kanafani-Zahar Aïda
Published: November 2020

Résumé :Le piment de Jamaïque, une épice peu connue en France, est au coeur de la cuisine libanaise, du littoral comme de l’intérieur des terres, domestique et professionnelle. Elle est indispensable dans les mets carnés et, par affection et attachement, dans des préparations non carnées de légumes, de légumes secs et de plantes potagères. Son ampleur aromatique est telle qu’avec d’autres épices, elle est jugée la plus performante pour débarrasser les viandes et les abats de la zankha, miasme honni des Libanais, et pour les parfumer. Pour les jeunes générations, le mélange « 7 épices » partage des prérogatives similaires. Après avoir analysé le lien entre carné, zankha, et épice, ce texte s’interroge sur la pertinence d’un mélange aromatique dans la composition culinaire.

Abstract:Little known in France, allspice is at the heart of the Lebanese cuisine, of the littoral and inland, among home and restaurant cooks. It is imperative for meat preparations, and, by affection and attachment, in vegetable and pulse dishes. Its aromatic scope is such that, with other spices, it is deemed most efficient to invalidate meats and offal from zankha, an abhorred miasma, and to bestow fragrance to them. For younger generations, the “7 spice mixture” shares similar prerogatives. After analysing the correlation between meat, zankha and spice, this study ponders on the pertinence of an aromatic mixture in the elaboration of culinary compositions in Lebanon.
Evaluasi Metode Pembobotan Sistemic Important Score (SIS) di Indonesia
Authors: Anwar Samsul
Published: November 2020

Penetapan Systemically Important Bank (SIB) bertujuan untuk mengidentifikasi bank-bank yang berpotensi sistemik terhadap sistem keuangan apabila mengalami kegagalan. Otoritas Jasa Keuangan (OJK) menetapkan bobot seimbang (equal weight) untuk ketiga indikator SIB (size, interconnectedness dan complexity) dan sub-indikatornya. Penelitian ini bertujuan untuk membandingkan kinerja metode pembobotan resmi dengan pembobotan alternatif berdasarkan Principal Component Analysis (PCA) dengan satu dan dua PC pertama dalam perhitungan Systemic Importance Score (SIS) yang menjadi dasar penetapan bucket (kelompok) SIB. Hasil simulasi terhadap enam kelompok perbankan menunjukkan bahwa metode pembobotan PCA satu PC pertama merupakan metode terbaik berdasarkan indikator nilai korelasi antara SIS dengan indikator dan sub-indikator penyusunnya.
Analisys of The Quality of Customer Service Satisfactory of Baitul Maal Wattamwil (BMT) Tamzis at Daerah Istimewa Yogyakarta and Jawa Tengah
Authors: Siswanto Agus , Hidayat Abdul Choliq
Published: November 2020

The research aim was to analyse the quality of customer service satisfactory of BMT Tamzis at Daerah Istimewa Yogyakarta and Jawa Tengah, as the syariah finance, who has 33 (thirty three) branchs, and its headquarter at Wonosobo, Jawa Tengah. It has at least 2.000 customers in 2018. BMT Tamzis needs some feedback in order to increase their quality of customer service satisfactory as high as possible to reach optimum level, and fulfill qualification of succeed finance business. This research wanted to measure the up dated customer service satisfactory and gave feedback to BMT Tamzis. The research method used quantitative approach to primary data of customer questioneer and scondary data of BMT Tamzis’s headquarter. The questioneers had distributed to customers by proporsional random sampling about 330 examplars, returned back about 320 examplars, and than have been calculated by SPSS method version 10.0. The result research was customer satisfactory perception toward BMT Tamzis reached good and significance level at all branchs, at point 4.031 root mean at 1 until 5 Likert scale. They favored assurance dimension at point 4.215, and than tangibles (3.990), responsiveness (3.989), reliability (3.976), and emphaty (3.986). To be adviced that all branch leaders must increase giving their services until reach the highest level of all dimensions, that are : tangibles, responsiveness, reliability, emphaty, dan assurance.Keyword: satisfactory, service, customer.
Students Satisfactory Indexs of Pascasarjana Services of Universitas Ahmad Dahlan
Authors: Hidayat Abdul Choliq , Siswanto Agus
Published: November 2020

The research aim was to calculate Students Satisfactory Indexs of Pascasarjana Study Programs Services Of Universitas Ahmad Dahlan who has 12 (twelve) programs,. It has at least 850 students in 2018. Pascasarjana needs some feedback in order to increase their quality of students service satisfactory as high as possible to reach optimum level, and fulfill qualification of succeed its business. This research wanted to measure the up dated customer service satisfactory and gave feedback to Universitas Ahmad Dahlan for their continuous improvement program. The research method used quantitative approach to primary data of customer questioneer and scondary data of Pascasarjana Universitas Ahmad Dahlan. The questioneers had distributed to student that has one year full study, by proporsional random sampling to 11 of 12 study programs, 10 examplar each study program, totally about 110 examplars, returned back about 110 examplars (100%), and than the data have been calculated by SPSS method version 10.0. The result of research was students satisfactory indexs of the services of Pascasarjana Study Programs reached good and significance level at all study programs, as the index, at point 4.307 root mean at 1 until 5 at Likert scale. They favored empathy dimension at point 4.389, and than assurance (4.347),tangible (4.331), responsiveness (4.295), and reliability (4.185). To be adviced that all of study programs must increase giving their services until reach the highest level of all dimensions, that are: tangibles, responsiveness, reliability, emphaty, dan assurance. Both of hyphotesis have proven that all of five variables, together or partially were significantly and positively influenced toward Students Satisfactory of Pascasarjana Study Programs Services Of Universitas Ahmad Dahlan

Key word: satisfactory, service, pascasarjana
Pengaruh Kualitas Produk dan Harga terhadap Kepuasan Konsumen (Studi pada Usaha Cuci Mobil “Salem” Desa Sumokembangsri Kecamatan Balongbendi Kabupaten Sidoarjo)
Authors: Efendi Mohamad Johan , Widyastuti Devi iriandha
Published: November 2020

Penelitian ini bertujuan untuk mengetahui pengaruh variabel kualitas produk (X1) dan harga (X2) terhadap kepuasan konsumen (Y) baik secara parsial, simultan dan dominan .Pada penelitian ini, ukuran sampel diambil dengan menggunakan rumus Slovin berjumlah 69 orang yang berasal dari konsummen. Teknik pengambilan sampel menggunakan probability sampling. Data diambil menggunakan kuesioner yang diukur dengan skala Likert. Pada Penelitian ini menggunnakan analisis regresi linier berganda dengan bantuan program SPSS versi 16.0. Hasil penelitian ini menunjukkkan bahwa variabel kualitas produk (X1) dan harga (X2) berpengaruh secara simultan terhadap kepuasan konsumen Variabel kualitas produk (X1) dan variiabel harga ( X2 ) tidak berpengaruh secara parsiial terhadap kepuasaan konsumen.dan variabel kualitas produk yang berpengaruh paling dominan terhadap kepuasan konsumen.

Kata Kunci: Kualitas produk, harga, kepuasan konsumen
Pengaruh Marketing Mix (7P) Terhadap Pengambilan Keputusan Orang Tua Dalam Memilih Sekolah Berbasis Tahfidz Al-Qur’an (Studi Pada SMP Al-Qur’an An-Nawawiy Mojokerto)
Authors: Permatasari Oktaviani , Ashriana Ahfi Nova
Published: November 2020

Penelitian ini bertujuan untuk menganalisis pengaruh marketing mix (7P) secara parsial terhadap pengambilan keputusan orang tua dalam memilih sekolah berbasis Tahfidz Al-Qur’an, baik dilakukan secara parsial maupun simultan pada orang tua siswa SMP Al-Qur’an An-Nawawiy Mojokerto. Manfaat penelitian tersebut yaitu bisa dijadikan referensi perbaikan strategi marketing mix pada SMPQ Al-Qur’an An-Nawawiy. Sampel pada penelitian ini sebanyak 57 orang, serta metode pengumpulan data yang dilakukan yaitu observasi, wawancara, dan kuesioner. Hasil penelitian menunjukkan bahwa terdapat pengaruh secara simultan antara variabel terhadap pengambilan keputusan, hal itu dibuktikan dengan adanya nilai F hitung yang lebih besar dari F tabel. Variabel product, price, promotion, people, dan process juga memiliki pengaruh secara parsial terhadap kemajuan organisasi yang dibuktikan dengan nilai t hitung lebih besar dengan t tabel. Serta pengaruh variabel X1, X2, X3, X5 dan X6 terhadap Y sebesar 48,2 %, dan 51,8 % dipengaruhi oleh faktor lain.

Kata Kunci: Marketingmix, Pengambilan Keputusan, Ortu Siswa, Sekolah Berbasis Tahfidz

Al-Qur’an.
Analisis Kinerja Rantai Pasok dengan Metode SCOR dan Simulasi Sistem Diskrit: Studi Kasus Produk Engineer-to-Order (ETO) di PT. Boma Bisma Indra (Persero)
Authors: Heitasari Dwi Nurma , Pratama Ibnu Lukman , Farkhiyah Najmatul
Published: November 2020

Analisis rantai pasok merupakan sebuah aktivitas menganalisa dan merancang ulang kondisi rantai pasok untuk mendapatkan hasil yang lebih optimal. Penelitian terkait analisis rantai pasok belum banyak membahas tentang perusahaan berjenis Engineer-to-Order (ETO), dimana tipe produk yang dihasilkan sangat spesifik menyesuaikan permintaan konsumen. Salah satu upaya untuk mengoptimalkan rantai pasok adalah dengan menilai kinerja perusahaan. Supply Chain Operation Reference (SCOR) merupakan suatu instrumen penilaian kinerja yang mendefinisikan setiap proses dalam rantai pasok dan mengelompokkan kinerja masing-masing proses dalam beberapa metrik. Peningkatan kinerja rantai pasok pada perusahaan ETO membutuhkan model yang komprehensif dan dinamis, sehingga dipilihlah metode simulasi sistem diskrit untuk menguji dan memvalidasi konfigurasi dan perbaikan berdasarkan metode SCOR. Penelitian ini menggunakan studi kasus perusahaan berjenis ETO dengan sample order produk tahun 2019 berupa particle filter. Berdasarkan pengukuran manajemen rantai pasok dengan metode SCOR diperoleh nilai akumulasi metrik kinerja Reliability berupa Perfect Order Fulfillment dan metrik kinerja Responsiveness berupa Order Fulfillment Cycle Time. Perbaikan dengan simulasi sistem diskrit menggunakan software ARENA cukup meningkatkan performa rantai pasok berupa perbaikan waktu siklus disertai penambahan tenaga kerja.

Kata kunci: Kinerja, Rantai pasok, Simulasi sistem diskrit
Analisis Faktor-faktor yang Memengaruhi Penyaluran Kredit Perbankan (Studi pada Bank Umum Milik Negara)
Authors: Adha Sita Nurmalia , Riwayati Hedwigis Esti
Published: November 2020

Penelitian ini bertujuan untuk menganalisis pengaruh Capital Adequacy Ratio, Non Performing Loan, dan Suku Bunga Sertifikat Bank Indonesia terhadap Penyaluran Kredit Perbankan. Data yang digunakan dalam penelitian ini adalah data sekunder berupa data triwulanan kredit, Capital Adequacy Ratio, Non Performing Loan, dan Suku Bunga Sertifikat Bank Indonesia yang diperoleh dari publikasi website Bank Indonesia dan Otoritas Jasa Keuangan. Teknik pengumpulan sampel yang digunakan dalam penelitian ini dengan metode sampling jenuh. Metode analisis data yang digunakan adalah analisis statistik deskriptif dan analisis regresi data panel dengan menggunakan alat bantu pengolahan data yaitu program Eviews 8.0 for windows. Pengujian hipotesis menggunakan uji hipotesis parsial (uji t), uji goodness of fit (uji F), dan koefisien determinasi dengan tingkat signifikansi 5 persen. Hasil penelitian menunjukkan bahwa variabel capital adequacy ratio dan suku bunga sertifikat bank indonesia berpengaruh positif dan signifikan terhadap penyaluran kredit sedangkan variabel non performing loan berpengaruh negatif dan signifikan terhadap penyaluran kredit. Model dalam penelitian ini layak untuk menjelaskan penyaluran kredit perbankan pada Bank BUMN. Penelitian ini diharapkan dapat menambah referensi di bidang yang berkaitan dengan penyaluran kredit. Serta hasil penelitian ini diharapkan dapat memberikan kontribusi yang baik serta dapat mengembangkan wawasan masyarakat tentang penyaluran kredit bank. Peneliti selanjutnya dengan topik yang sejenis diharapkan dapat menambah variabel bebas lainnya yang diperkirakan berpengaruh terhadap penyaluran kredit seperti DPK, LDR dan variabel makro seperti inflasi.

Kata Kunci: Penyaluran Kredit, Capital Adequacy Ratio, Non Performing Loan dan Suku Bunga Sertifikat Bank Indonesia.
Nikolay Stavrogin as a "Praporshchik:" An Additional Historical Commentary to "The Demons" by F. M. Dostoyevsky
Authors:   National Research University Higher School of Economics, Pershkina A. N.
Published: November 2020

The article provides historical commentary on an episode from the biography of Nikolay Stavrogin, a character from "The Demons" by F. Dostoevsky. Offi cial documents of the mid-1860s help to uncover how he could have regained his offi cer rank after being demoted to a soldier. This episode is important for understanding the characters’ relations, based on the military hierarchy. In addition, it clarifi es Dostoevsky’s methods of working with historical facts.
Concerning the Family Schools of Epic Storytellers: The Kryukov Dynasty
Authors:   Institute of Russian Literature (the Pushkin House), Russian Academy of Sciences, Vlasov A. N.
Published: November 2020

The article outlines the continuity of the family schools of epic storytellers in the North; the featured one is the Kryukov dynasty from the Winter Coast of the White Sea. The epic repertoire of an individual storyteller from the three generations of the Kryukov family is analyzed in the context of local and general Russian traditions. Possible ties of succession and differences between them are established. The author suggests that it is too early to postulate the existence of the family schools in Zimnyaya Zolotitsa with the same certainty as in the case of the Chuprovs on the Pizhma.
"Grain’s Way" as a Formula of a Revolution: Khodasevich, Nekrasov, Peasant Poets and the Agrarian Topoi in Russian Poetry
Authors:   National Research University Higher School of Economics, Uspenskij P. F.
Published: November 2020

The article discusses the poetic formula of Vladislav Khodasevich’s "Putiom zerna" ("Grain’s Way"). It is argued that the phrase goes back to the New Testament and is associated with Biblical ideas of timeless values. The aim of the article is to show that the formula putiom zerna (grain’s way) is also tied to the Russian poetic revolutionary myth, in which the agrarian imagery was consistently endowed with the social and revolutionary connotations. Khodasevich’s poem and his collection bearing the same title are a convenient starting point for elucidating this poetical myth. The article considers its development in the lyrics by Alexander Pushkin and Nikolay Nekrasov, as well as its transformation in the poetry of the Symbolists. Special emphasis is laid on the lyrics of the Peasant Poets and their responses to the Revolution of 1917. In the light of the article’s topic, the poems of the Peasant Poets feature the myth with very high intensity. We’re thus justifi ed in comparing the images of Khodasevich with those of Yesenin, Klyuev and Oreshin.
«…The Circle Where She Lived…»: Possible Prototypes of Sofi a Belovodova
Authors:   Institute of Russian Literature (the Pushkin House), Russian Academy of Sciences, Romanova A. V.
Published: November 2020

The article outlines the possible prototypes of one of the characters of I. A. Goncharov’s novel "The Precipice" — Sofi a Belovodova. The author of the novel arguably left no evidence concerning any prototypes for this character, and claimed that the image was artifi cial. Nevertheless, years of research by the Goncharov scholars made it possible to pinpoint several persons in the writer’s entourage who might have been involved in prototype situations that corresponded to the plot of the novel. These are E. V. Sukhovo-Kobylina (Evgenia Tur) and N. I. Nadezhdin (in the position of Teacher Yelnin), E. I. Drutskaya-Sokolinskaya, E. V. Tolstaya (and Goncharov himself in the position of Rajskii), Princess Z. A. Volkonskaya and Count Miniato Ricci (in the position of Milari), as well as Count Giovanni Matteo de Candia (Giovanni Mario) (separately, in the position of Milari).
Behind the Counter: «Other Literature» by Anton Chekhov in the Context of Social History
Authors:   Shanghai Normal University, Hongmin Tian
Published: November 2020

Chekhov’s work is considered in the article in the context of Russia’s social history of the late 19th — early 20th centuries, and primarily in the context of those aspects of the history of the social ranks that were associated with the new trends refl ected in Chekhov’s writing: education, family income, a person’s position in the post-reform Russian secular society. «Shop life», that occupied an important place both in the writer’s work and in his biography, is studied on the basis of Chekhov’s letters and short stories.
Origins and Special Features of the Texts of the "Kulikovsky Cycle"
Authors:   Institute of Russian Literature (the Pushkin House), Russian Academy of Sciences, Sokolova L. V.
Published: November 2020

The article explores the texts on the Battle of Kulikovo that comprise the so-called "Kulikovsky Cycle". The pieces in question are chronicle stories (a short story in the "Svod of 1408" and the "Chronicle Story of the Battle of Kulikovo"), the "Story of the Bloody Battle of Mamai", and "Zadonshchina". The author suggests a new outlook on the sequence of emergence of these texts, their special features and mutual relations.
A. T. Bolotov’s Memoirs: History of Creation
Authors:   Institute of Russian Literature (the Pushkin House), Russian Academy of Sciences, Veselova A. Iu. , Miliutin M. P. ,   Academic Gymnasium, St. Petersburg State University
Published: November 2020

The memoirs of A. T. Bolotov are represented by a rather extensive manuscript heritage, stored in several Russian archives. There are about 50 manuscripts, some of them are also presented in the author’s copies. In archival documents and critical literature, there still are numerous errors and inaccuracies in the description of these manuscripts and their definition as drafts, white papers, originals or copies. The aim of this article is to systematize Bolotov’s memoir legacy and establish the place of every manuscript in the overall complex of manuscripts. Therefore, the article reconstructs the history of the creation of memoirs, dividing them into stages based on the life story of Bolotov and the evolution of his attitude to his own memoirs.
Alexander Bestuzhev as a Prosaic Narrator: The Initial Point (Towards the Concept "Marlinism")
Authors:   University of Tartu, Stepanishcheva T. N.
Published: November 2020

The first prose piece by Alexander Bestuzhev Journey to Revel is traditionally considered in the context of literary travelogues and compared with Nikolai Karamzin’s Letters of the Russian Traveler and Dupaty’s Lettres sur l’Italie en 1785. This article offers a reinterpretation of Journey to Revel. The outset of the story is connected with Bestuzhev’s article published in the magazine "Syn Otechestva" (1818). The style of Journey to Revel is considered to be the result of various infl uences, the key one being the orientation on the oral speech and the influence of its individual style on Bestuzhev’s works. In the novel, he designed a specific style, that became his distinctive mark and was given a special name.
"A Simile of This and That": Connotations of Champagne in the Russian Poetry of the 1810s — 1830s
Authors:   European University at Saint-Petersburg, Mazur N. N.
Published: November 2020

Not only champagne, but also its descriptions in the Russian poetry of 1810s — 1830s were French by their origin: Voltaire’s satire "Le Mondain" and its translation by Dmitry Baranov provided the motif base for such descriptions. Baranov’s decision to omit Voltaire’s comparison between the French national character and champagne, encouraged Russian poets to introduce new analogies to fill the gap. Thanks to this competition in versifi cation skills, champagne gained a wide spectrum of symbolic, political and poetic connotations, described in our article.
E. A. Baratynsky’s Unpublished Letter to A. I. Turgenev (Towards the History of a Literary Relationship)
Authors:   Institute of Russian Literature (the Pushkin House), Russian Academy of Sciences, Bodrova A. S. ,   National Research University Higher School of Economics
Published: November 2020

The article focuses on the history of the literary exchange between E. A. Baratynsky and A. I. Turgenev, demonstrating their standings in the literary fi eld of the 1820s — the first half of the 1830s. Analyzing an unpublished letter by Baratynsky, the author offers a detailed reconstruction of the episode where the poet managed to present to Turgenev a pre-print copy of his Collected Poems (Stikhotvoreniia, 1835), and thus clarifi es the publication history of this collection.
From the Commentary to E. A. Baratynsky’s "Omens"
Authors:   Institute of Russian Literature (the Pushkin House), Russian Academy of Sciences, Okhotin N. G.
Published: November 2020

This article explores certain lexical echoes of the Tale of Igor’s Campaign in a late-period poem by Evgeny Baratynsky "Omens" (1839), and the conceptual dependence of this poem on the analysis of the "Tale of Igor’s Campaign" in the published lectures by M. A. Maksimovich (1836).
"Do You Like Street Singing?": Raskolnikov Condemned by the Choir of the People
Authors:   Literary Memorial Museum of F. M. Dostoevsky in St. Petersburg, Chernova N. V.
Published: November 2020

The article deals with one of the aspects of the novel "Crime and Punishment", where the voice of the people and literary pochvennichestvo are decisive features of the author’s strategy in relation to the criminal protagonist. Beginning with his very fi rst arrival to Sennaya Square after the crime, the voice of the people in its two hypostases, religious-ethical and carnival-square, condemns him and at the same time supports him in his search for an outcome («join the people again»), chartering his way to resurrection.
Healthcare Monitoring with Fog-Based IoT Kit and One Time Pad Encryption
Authors: M Sangeetha , S ILakkiya , Mahima Gandham , Chelvan Ezhiloviya
Published: November 2020

In the current trend, Internet of Things (IoT) technology is more useful in healthcare in terms of mobile health and remote patient monitoring. IoT produces enormous data to be processed in cloud. In practice, the latency caused by cloud for processing the data leads to unacceptable losses. As an alternative method, we have proposed a system to reduce the latency caused. The health care IoT devices start emitting the data relevant to a patient. The data are then uploaded as current status of a patient from smart home or hospital to the cloud continuously. The mobile of each patient will be acting as Fog-node in which it collects the data and computes the received data and generates events for abnormal cases. When an event is triggered the cloud sends alert to doctor, ambulance and relatives based on the threshold of event occurred. All data transmission occurring in-between Cloud Server and Mobile of each patient is encrypted using One Time Pad security mechanism. The proposed encryption mechanism is a lightweight encryption compatible with IoT based system. Since it has an encryption that is yet to be cracked, we can ensure secure transmission of patient records with a higher performance than which was achieved by cloud computing.
Improvised Approach for Real Time Patient Health Monitoring System Using IoT
Authors: G Parthasarathy , T R Soumya , L Ramanathan , P Ramesh
Published: November 2020

This paper presents the design details of its implementation of an IoT-based Real Time Health Monitoring System for the monitoring of a patient and provides. The proposed Design permits the monitoring of health related dangers and deals with economy in health care expenditure through effective interpretation and distribution of patient data. This paper works on the concept of reducing human presence in monitoring a patient’s problems and sending vital details to the Doctors and Caretakers on a real time basis. This proposal helps saving in and alerts the Doctors/Caretakers in an emergency situation to ensure critical moments are not wasted. The outcome of the proposed system is to provide exact collected medical services to patients through records and information through sensors which monitor the patient’s details relating to Pulse, temperature, Body Tilt Angle and Glucose Level. This information is sent to the patient’s Doctor/Caretaker using a cloud based App on a real time basis.
Polarity Detection on Real-Time News Data Using Opinion Mining
Authors: Prathap Boppuru Rudra , A K Sujatha , Yadav Chandragiri Bala Satish , Mounika Mummadi
Published: November 2020

Sentimental Analysis or Opinion Mining plays a vital role in the experimentation field that determines the user’s opinions, emotions and sentiments concealing a text. News on the Internet is becoming vast, and it is drawing attention and has reached the point of adequately affecting political and social realities. The popular way of checking online content, i.e. manual knowledge-based on the facts, is practically impossible because of the enormous amount of data that has now generated online. The issue can address by using Machine Learning Algorithms and Artificial Intelligence. One of the Machine Learning techniques used in this is Naive Bayes classifier. In this paper, the polarity of the news article determined whether the given news article is a positive, negative or neutral Naive Bayes Classifier, which works well with NLP (Natural Language problems) used for many purposes. It is a family of probabilistic algorithms that used to identify a word from a given text. In this, we calculate the probability of each word in a given text. Using Bayes theorem, they are getting the probabilities based on the given conditions. Topic Modeling is analytical modelling for finding the abstract of topics from a cluster of documents. Latent Dirichlet Allocation (LDA) is a topic model is used to classify the text in a given document to a specified topic. The news article is classified as positive or negative or neutral using Naive Bayes classifier by calculating the probabilities of each word from a given news article. By using topic modelling (LDA), topics of articles are detected and record data separately. The calculation of the overall sentiment of a chosen topic from different newspapers from previously recorded data done.
Capturing User Intention to Enhance Image Retrieval and Re-Ranking Efficiency Using One Click Image Search
Authors: B J Dange , S K Yadav , D B Kshirsagar
Published: November 2020

A Novel data fusion technique to support text-based and content-based image retrieval combining different heterogeneous features is proposed. The user need to give just a single click on an query image and images recovered by content based search are re-positioned dependent on their visual and texture similitudes to the query image.Textual and visual expansions are integrated to capture user intention without additional human feedback. Expanded keywords helps in extending positive model images and furthermore develop the image pool to include more relevant images. A lot of visual features which are both efficient and effective for image search are chosen. The n-dimensional feature vector for both colour and texture is reduced to single dimension each, used for comparing the similarity with query image using suitable distance metrics. Further only the images retrieved as a result of text based search and image re-ranking process are compared during run time for finding the similar images; not the entire database. This considerably reduces the computational complexity and improves the search efficiency. With improved feature extraction capturing textual and visual similarities, the proposed one click image search framework gives a productive robotized recovery of comparable images giving promising results with improvement in retrieval efficiency.
Privacy Preserving and Sensitive Attribute Based Cloud Storage: A Survey
Authors: K Muthulakshmi , K Valarmathi
Published: November 2020

Cloud computing is a recent methodology to store and retrieve huge volume of data in a cost effective way. Distributed computing undertakes security to the system as its main role. Recently, the owners of the data need to think about the level of security provided to their information during storage and its movement while performing various tasks. Current security technique offers security to the entire information with encryption/decryption time, cost incurred due to loading while providing less security to the sensitive attributes without the information about the owner of the data. Thus, an exchange off between high security and low capacity cost to the sensitive attributes are identified from the information provided and security techniques are applied to these information. This Survey paper portrays the thought of Searchable encryption (SE) with regards to human services applications and portrays the SE use cases into four situations in health care. The data contains in the medical image are sensitive in this way it is important to shield it from unapproved users. By utilizing different encryption strategy. We can give the security and privacy to the Electronic Health Record.
Segmentation Techniques for Brain Tumor from MRI – A Survey
Authors: R Jeevitha , D Selvaraj
Published: November 2020

In the medical science, Biomedical images are the core. Generally, Magnetic Resonance Imaging(MRI) scan is the most usual procedure followed. Radio waves and strong magnetic flux were used to determine comprehensive images of tissues and organs inside the body. The enhancement in MRI scan has become a large milestone in the medical world. Generally, the brain is segmented into White and gray matter, and cerebrospinal fluid(CSF). Various segmentation techniques have been proposed with promising results. Still, they all have their own pros and cons. Deep neural networks(DNN) have established good performance in segmentation and classification task via Deep Wavelet Autoencoder(DWA). In this study, by using a pairwise Generative Adversarial Network(GAN) model, it addresses the problems in brain tumor detection using MRI from various scanner modalities T1 weighted, T2 weighted, T1 weighted with contrast-enhanced and FLAIR images.
Authorized Vehicle Recognition System
Authors: R Kedar , A Kaviraj , R Manish , B Niteesh , S Suthir
Published: November 2020

The technology is growing and increasing in our day to day life to satisfy the needs of human beings. The system we are going to propose makes the human job easier. Here the YOLO algorithm which is a deep learning object detection architecture is used to detect the number plate of the vehicle. After detecting the number plate it converts the vehicle number to a text format. Then it checks it with the database to see if the vehicle is authorized to enter into the premise or not. This system can be implemented in highly restrained areas such as military areas, government organizations, Parliament, etc. This proposed system has around six stages: Capture Image, Search for black pixels, Image filtering, Plate region extraction, character extraction, OCR for character recognition. The alphanumeric characters are identified using the OCR algorithm. It is then used to compare the obtained result from the YOLO algorithm with the database and then check if the vehicle is allowed to enter the premise or not. This proposed system is simulated and implemented using Python, and it was also tested on real-time images for performance purposes.
Analysis of Minimax Algorithm Using Tic-Tac-Toe
Authors: B Swaminathan , R Vaishali , T S R subashri
Published: November 2020

The game industry has been on exponential growth, has different businesses of varying size, ethos, scope and beyond. Success of these video-games comes from a lot of labor-intensive work by developers. Every little nuance of each character, the objects within a character’s environment must be hand-coded. Repetitive work takes up a significant part of development time, which leads to an increase in glitches and logical flaws. Artificial intelligence has been used to simulate human players in software games, provides an opportunity for game developers to create unique experiences and different outcomes for each player. Computer chess players are well-known examples, wherein modern chess programs are trained to defeat best human players. AI based algorithms that can be implemented for games, but a need for optimal solutions is on a rise. We require a comparative analysis of multiple algorithms for understanding the most efficient and ideal one. In our work, through use of a game Tic-Tac-Toe various algorithms will be carried out with its prototype compared in terms of effective rate and optimality.
Facial Expression Analysis Based on Fusion Multi-Layer Convolutional Layer Feature Neural Network
Authors: Meng Hao , Yuan Fei , Yan Tianhao
Published: November 2020

Concerning the problem that the current facial expression analysis based on convolutional neural network (CNN) only uses the features of the last convolutional layer but the recognition rate is not high, this paper proposes the use of sub-deep convolutional layer features and builds a CNN model which fuses the features of multi-layer convolutional layers. The model uses a CNN for feature extraction and saves the deepest feature vectors and sub-deep feature vectors of the expression images. The sub-deep feature vector is used as the input of the multilayer CNN established in this paper. The processed fourth convolution layer feature is fused with the deepest feature previously saved to perform facial expression analysis. Experiments are performed on FERPLUS dataset, Cohn-Kanade dataset (CK+) and JAFFE dataset. The experimental results show that the improved network structure proposed in this paper can capture richer feature information during facial expression analysis, which greatly improves the accuracy of expression recognition and the stability of the network. Compared with the original CNN-based facial expression analysis using only the last layer of convolution layer features, using multi-layer fusion features on three kinds of datasets can improve the expression recognition rate by 33.3%, 2.3% and 22%, respectively.
Curves Classification by Using a Local Likelihood Function and Its Practical Usefulness for Real Data
Authors: Rachdi Mustapha , Laksaci Ali , Hamié Ali , Demongeot Jacques , Ouassou Idir
Published: November 2020

We extend the classical approach in supervised classification based on the local likelihood estimation to the functional covariates case. The estimation procedure of the functional parameter (slope parameter) in the linear model when the covariate is of functional kind is investigated. We show, on simulated as well on real data, that classification error rates estimated using test samples, and the estimation procedure by local likelihood seem to lead to better estimators than the classical kernel estimation. In addition, this approach is no longer assuming that the linear predictors have a specific parametric form. However, this approach also has two drawbacks. Indeed, it was more expensive and slower than the kernel regression. Thus, as mentioned earlier, kernels other than the Gaussian kernel can lead to a divergence of the Newton-Raphson algorithm. In contrast, using a Gaussian kernel, 4 to 6 iterations are then sufficient to achieve convergence.
Research on Application of Artificial Intelligence in VR Games
Authors: Xi Wang
Published: November 2020

Purposed to promote the development of artificial intelligence (AI) technology in the game field, this article adopts the literature analysis method and the case study method, analyzes the problems with virtual reality (VR) games and explores several popular VR game cases in China and abroad before summarizing the artistic characteristics of VR games. Artificial intelligence technology has brought a new creative mode to the game industry, while providing more suitable game content for players. Further, artificial intelligence technology can equip VR games with better game experience by analyzing players’ physiological and psychological information as well as players’ game strategies. Compared with traditional games, VR games can deliver better interactivity, deeper immersion and higher fidelity. However, VR games impose higher requirements on device data and space scale; in other words, they must meet specific requirements to provide better game experience. VR games also have monotonous game types and high prices. In the future, the integration of VR games with artificial intelligence would generate more profound game-player experiences and richer game contents.
ClothNet: A Neural Network Based Recommender System
Authors: Xing Hao , Han Zhike , Shen Yichen
Published: November 2020

The traditional collaborative filtering recommendation systems have many deficiencies, which make them incompetent in the domain of clothing recommendation; we proposed a new ClothNet model based on CNN, RNN, collaborative filtering and the characteristics of the fashion industry. The accuracy and generalization performance of this model are improved compared with traditional systems. The visual information integrated into the ClothNet model enables the recommendation system to alleviate the cold start problem, and new clothes can be added to the recommendation list faster through the visual information. The addition of temporal information enables ClothNet sharply capturing the impact of seasonal and time changes on user preferences. However, because RNN and CNN have the disadvantage of requiring a large amount of data, combining RNN and CNN will make the model more difficult to converge, so we have adopted the LearningToRank training mode and obtained good results.
Exploring the Potential of GPT-2 for Generating Fake Reviews of Research Papers
Authors: Bartoli Alberto , Medvet Eric
Published: November 2020

Modern tools for natural language generation may enable novel forms of scholarly fraud based on the automatic generation of fake review reports for academic papers, i.e., of a few sentences broadly related to the textual content of a submission and written with the style of an anonymous reviewer. A tool capable of generating such reports automatically and for free could enable various forms of unethical behavior by publishers and researchers. In this work we experiment with a simple heuristic that makes use of widely available and easy to use tools for natural language generation, including the Generative Pretrained Transformer 2 (GPT-2), in order to craft fake reviews automatically. We also perform a small user study for assessing the credibility of those reviews. Our analysis suggests that academic frauds based on fake reviews may indeed be feasible and ready to be deployed in the wild.