bluuebunny/crossref_metadata_2025 huggingface dataset:
Project Proposal – INEDCO Knowledge as the Opposite of Disinformation
Authors: Endrizalová Eva , Zozuľák Radoslav
Published: December 2022

This article presents a project proposal that was created in response to a competitive call from the Czech research support agency in the area of Increasing the Resilience of Society to Disinformation. We consider the most effective strategy for achieving this goal to be accessible interdisciplinary education – knowledge shared by the so-called Opposite Side Method. The idea uses the acronym INEDCO (INterdisciplinary EDucation COncept). It is an innovative form of education for the general public through the offer of knowledge. This set of knowledge will provide the society with a level of knowledge that eliminates/minimizes the tendency to believe delusions. The basic idea is elaborated in the form of a design structure, the second step is the methodology, and the third stage is the implementation of the project in the field of aviation. This proposal has a high potential to create a top team of researchers and produce applicable results in the long run. The essence of the project is interdisciplinarity and the collaboration of several universities at national as well as international level is essential to achieve the objectives. The concept of a shared and freely accessible INEDCO education to be the targeted opposite to the disinformation scene originated at the Department of Air Transport. Aviation is one of the fields that is a medium of hoaxes. As an institution with technical, technological, and methodological education in a very complex and difficult sector, we see the need to contribute to improving the level of knowledge and pacifying society through education.
Forma, función y arquitectura biológica
Authors: Saborido Cristian , Airoldi Giorgio
Published: December 2022

Los conceptos de evolución y cambio evolutivo son a la vez laxos y polisémicos: se aplican a fenómenos muy diferentes y no siempre se definen con precisión. La aplicación extendida del paradigma neo-darwinista clásico, además, suele imponer un esquema adaptacionista al análisis de los hechos evolutivos, en el cual las funciones juegan un papel lógicamente anterior a los rasgos y sus formas. En este artículo proponemos, como etapa previa a la formulación de hipótesis sobre las causas del cambio, un modelo de espacio forma-función que pueda responder a preguntas como cuándo se da un cambio en los rasgos de una arquitectura biológica y de qué tipo son estos cambios. Un modelo de este tipo nos permite ver claramente cuándo se da un cambio en la forma o en la función y qué alcance evolutivo tiene.
77 GHz Merkez Frekansındaki Otomotiv Radarları için Çift Polarizasyonlu Anten Dizisi Tasarımı
Authors: TAYDAŞ Furkan Muhammed , PAKER Selçuk
Published: December 2022

Bu bildiride, orta menzil otomotiv radarlarında kullanılmak üzere ±45° eğik polarizasyona, -20 dB yan kulakçık seviyesine sahip ve kazancı 16.3 dB, yarı güç hüzme genişliği yanca ekseninde 10° olan bir mikroşerit dizi anten sunulmuştur. Genlik bastırma yöntemleri ile tasarlanan seri besleme devresi dizi antenin beslemesinde kullanılmış ve düşük yan kulakçık seviyesi elde edilmiştir. Böylece yanlış alarm oranı azaltılmıştır. Yama anten dizisinin polarizasyonu ±45° eğik olacak şekilde ikinci bir besleme hattı yerleştirilmiş ve böylece çift polarizasyon özelliği elde edilerek toplanan bilginin doğruluğu arttırılmıştır. Bilgisayar destekli tasarım programı ile benzetimi yapılan antenin sonuçları ile orta menzil otomotiv radarlarının ihtiyaç duyduğu anten özellikleri karşılanmıştır.
Metalik Madenlerde Topuk Boyutlarındaki Değişimin Gerilme Dağılımına Etkisi
Authors: YETKİN Mustafa Emre
Published: December 2022

Yeraltı metal madenciliğinde cevher kazanımı sırasında tavanın etkili bir şeklide desteklenmesi ve güvenliğin sağlanması amacıyla üretim alanında cevherlerden oluşan topuklar bırakılmaktadır. Topuk boyutlarının optimum seviyelerde olması cevher kazanımı açısından önemli hale gelmektedir. Gereğinden fazla boyutlarda bırakılacak olan topuk cevher kaybına sebebiyet verecek ve işletmeyi ekonomik yönden olumsuz etkileyecektir. Ayrıca, olması gerekenden az boyutlarda bırakılan topuk ise çalışılan bölgeyi iş güvenliği açısından daha tehlikeli hale getirecektir. Yapılan çalışmada, Phase2D sayısal modelleme programında farklı boyutlarda modellenmiş olan topuklar etrafında meydana gelen gerilmeler hesaplanmış ve topuklar etrafında oluşan gerilme dağılımı dikkate alınarak optimum topuk boyutları önerilmiştir.
An Application of Feature Selection Methods to Compare the Performances of Classification Algorithms
Authors: DEMİR Mustafa , KILIÇ İbrahim
Published: December 2022

In this study, it is aimed to determine fewer and significant variables with the help of feature selection methods among a large number of variables in the data discussed. Feature selection methods are effective methods that have great importance in statistics in recent years and provide great convenience to researchers. Depending on the technique used in the method, different numbers of variables are included in the model, but the correct classification rates may vary. In this context, being able to express the variables in a data set with a large number of variables of interest with a high classification percentage and fewer new variables makes positive contributions to issues such as time and cost. The variables in the data set discussed in this study were firstly analyzed with different feature selection methods and new data sets were created. Afterwards, these new data sets containing different numbers of variables were analyzed with different machine learning techniques and the best machine learning technique was determined. In this study, chronic kidney disease data were handled and the variables in the data set were classified with different feature selection methods. When the results of the study are examined, the highest classification rate with 99.75% was obtained from the correlation-based feature selection method, which includes the random forest and multilayer perceptron technique, and the filter method, which includes the k-nearest neighbor technique, with the same rate. The results of the study show that the percentage of correct classification obtained from this study is higher than that of other studies, when compared with other studies using the same dataset.
Euskarazko elkarkari iragangaitzak: lexikoak ala sintaktikoak?
Authors: Bilbao Hernandez Kristina
Published: December 2022

Euskaraz, egitura elkarkari kanonikoak elkar anafora elkarkariaren bidez eratzen dira. Alabaina, badira elkarkari iragangaitzak ere, anaforarik gabe eraikitzen direnak. Artikulu honetan azken horien azterketa xehea egin dut eta proposatu dut horietako guztiak ez direla gramatikaren atal berean sortzen, Siloniren (2012) Hiztegiaren edo Sintaxiaren parametroan oinarrituz ikus daitekeenez. Horretarako, egile honek beste hizkuntza batzuetako elkarkariak aztertzeko erabili dituen ezaugarriak baliatu ditut. Ondorioztatu dudanez, euskaraz anafora gabe sortzen diren elkarkari asko sintaktikoak dira, baina elkarkari lexiko batzuk ere badaude.
Euskal zenbatzaileen komunztadura-aldakortasuna Hegoaldeko testu zaharretan
Authors: Franco Landa Eukene
Published: December 2022

Euskaraz aukerakoa da zenbatzaile lausoek komunztadura plurala egitea (Etxeberria & Etxepare, 2009). Bi aldaerak mantentzea arkaismoa da, Hegoaldean galbidean dagoena (Txillardegi, 1978; Zubiri & Zubiri, 1994). Hegoaldeko datu sinkronikoak eta diakronikoak batu dira, bi helbururekin: (i) arkaismoa mantentzen den eta (ii) komunztadura-aldakortasunak izan duen ibilbidea aztertzea. Hauek dira emaitzak: (i) Hegoaldean ez da komunztadura eza onartzen, (ii) aldakortasuna desagertuz joan da, (iii) objektu zuzenaren funtzioa da komunztadura gutxien eragin duena historikoki, eta (iv) mendebaldeko euskara arkaikoan posiblea zen kardinalek komunztadurarik ez egitea, egungo Zuberoako arkaismoa (Coyos, 1999).
Mineralogy of chromitites of mount Poklonnaya of the Karabash massif, South Urals
Authors: Popova V.I. , Belogub E.V. , Rassomakhin M.A. , Popov V.A. , Khvorov P.V.
Published: December 2022

Mineral composition of chromitites and host serpentinites from a quarry at Mt. Poklonnaya of the Karabash serpentinite massif is studied using optical and electron microscopy. In addition to previously known native osmium and laurite, eight minerals of platinum group elements (PGE) are found: isoferroplatinum, irarsite, iridium, naldrettite, cuproiridisite, sperrilite, tolovkite and erlichmannite. It is found that magnesioalumochromite is the early magmatic Cr-spinel and magnesiochromite and ferrichromite are late magmatic. The earliest native iridium and native osmium are replaced by PGE sulfdes, arsenides and stibnides. Magnesiochromite is associated with native gold, Ni chalcohenides (gersdorffte, millerite, pentlandite, heaslewoodite) and chalcopyrite. The formation of Cr-magnetite, magnetite, native iron, native nickel, galena and barite is related to serpentinization. Carbonates (calcite and dolomite), brucite, andradite, sepiolite and an unidentifed Ca-silicate formed at the latest stage of serpentinization. Secondary Ni minerals (gaspeite, nepuite, «garnierite») are most likely the products of the latest mineral-forming process.
MAIN CAUSES OF ACNE IN WOMEN
Authors: Sergeeva Natalia , Kui-Beda Olga , Myandina Galina , Strachuk Aleksandr , Korovyakova Elina , Pashina Nataliya , Kuchuk Andrey
Published: December 2022

The presence of acne leads to cosmetic defects of the face, which greatly reduces a person's self-esteem. Therefore, it is relevant to assess the risk factors for acne in females (n=176). We analyzed possible risk factors for akne: bad habits, eating behavior, features of physiological processes, the presence of metabolic disorders. Results: Stress was the cause of acne in almost 2/3 of cases. Approximately in equal amounts, the causes of acne in women were the alimentary factor, metabolic disorders, and smoking. Approximately half of the cases of acne vulgaris contributed to the onset of menstruation and alcohol consumption. Conclusions: Knowing and identifying the causes of acne is the first step to preventing and treating it.
EYE PROSTHETICS IN PATIENTS WITH ANOPHTHALMOS AND SUBATROPHY
Authors: Al Khateeb Nashaat , Shklyaruk Viktor , Odinaeva Kibriyo , Daragma Loai , Shklyaruk Larisa
Published: December 2022

One of the important medical and social problems in patients with anophthalmos today is the elimination of a cosmetic defect [3,7].The eye prosthesis has not only cosmetic, but also therapeutic and prophylactic value, protecting the eye cavity from the irritating effect of environmental factors. Prolonged absence of a prosthesis in the conjunctival cavity causes a chronic inflammatory process and its reduction [2,4,8]. The aim of the study: To improve the functional and cosmetic effect of ocular prosthetics in patients with anophthalmos and subatrophy. Materials and methods: Ophthalmological, electron microscopic, laboratory research methods were used in the work. Conclusions: Primary ocular prosthetics should be carried out within the first month after surgery. The presence of an adequate musculoskeletal stump provides high results of the cosmetic effect of ocular prosthetics. Individual ocular prosthetics is the most optimal type of prosthetics, which achieves the expected cosmetic and functional results.
Pacularities of the scientific and technical activities monitoring of employees of national research and educational institutions
Authors:   Taras Shevchenko  National University of Kyiv, Ivanchenko Nadiia
Published: December 2022

The author tries to analyse the foreign and domestic experience of data management of the research activity as well as national, regional and university data management systems. In addition, these theses include the result of systems with open source code testing, which can be used in research activity.
A Literature Review on Teaching Ethical Creativity in Primary Education
Authors: Hagerman Frans , Chang Rundgren Shu-Nu
Published: December 2022

As the world emerges from the COVID-19 pandemic and continues to struggle with armed conflicts, creative and ethical solutions to the controversial issues of recent years are needed globally. While creativity is necessary, it must also be ethically sound. Today, discussing creativity in relation to its ethical dimensions has also been emphasized in the perspective of sustainable development, but research on the teaching and learning of ethical creativity remains limited. Therefore, the aim of this paper is twofold: 1) to describe how primary schools engage students on ethical creativity and 2) to suggest a didactic model for ethical creativity based on the teaching strategies found in a literature review. Internationally, creativity and ethics have been addressed in curricula and studied within the field of education. However, research on the ethical dimensions of creativity (ethical creativity) is limited. Based on a literature review, five teaching strategies for engaging primary school students on ethical creativity have been identified. The common features among the five teaching strategies relate to the use of 1) digital tools/media, 2) art and literature, 3) real problems and dilemmas, and 4) enquiry-based learning. A three-step teaching model is suggested for teaching ethical creativity. The implications of the paper relate to enhancing ethical creativity among our children, who are both future citizens and leaders in various professions in the global society.
Teachers’ Experiences in Working With Cognitively Gifted Students
Authors: Michalak Renata
Published: December 2022

The article presents the results of research into the knowledge and experience of Polish primary school teachers. The main aim of the research was to identify the experiences of primary school teachers in educational work with cognitively gifted students. Within this framework, the following research tasks were selected: (1) investigate teachers’ preferred ways of supporting cognitively gifted students in the learning process and (2) investigate the difficulties experienced by teachers in working with cognitively gifted students. The research sought answers to the following questions: How do teachers recognize the individual needs of cognitively gifted students? How do they monitor their development? How do they evaluate their progress? What methods and forms of working with gifted students do they prefer? What difficulties do they experience in working with cognitively gifted students and what are the sources? How do they deal with these difficulties? The relationship between selected aspects of teachers working with gifted students in grades 1–3 versus grades 4–8 and the level of education were examined. The empirical data show that in Polish schools, cognitively gifted students are neglected and do not receive adequate educational support from their teachers. The preferred forms and methods of organizing the education of cognitively gifted students are mainly characterized by a teacher-centered attitude. The respondents indicated that difficulties working with cognitively gifted students result mainly from a lack of time, the need to evaluate the student against the background of the class, a lack from support from experts and parents, and their own insufficient competency. The research is important because it shows the desirable changes to teacher education programs and the process of supporting teachers in their professional practice.
Mathematical Narrations and Poetry. A Mathematical Resilience Tool
Authors: Filgueira Arias Cándida , Escribano Ródenas Maria del Carmen
Published: December 2022

Mathematics frequently appear in stories, poetry, stories, literary narratives, in general in different literary genres.

Numbers and Mathematics usually appear in the stories, poems and narratives of children's and youth literature. Likewise, in these literary genres spatial relationships, shapes, sizes, quantities, numbers are verified, and it is that in Mathematics the pillars of logic and creativity underlie (Cervera, 1983).

Thus, it is intended to develop an analysis and reflection through a bibliographic review of children's and youth literature related to Mathematics as a resilient tool for coping with the teaching of this discipline, creating new learning situations to develop significant links between literature. “mathematics” and resilience. 

The results of the research have revealed theoretical and practical tools (stories, tales, poetry, literary narratives, stories) that will accompany and promote resilient mathematical processes through the construction of symbolic spaces of refuge and socio-emotional acceptance through reading and creative expression motivated by children's and youth literature.

 

Las Matemáticas aparecen frecuentemente en cuentos, poesías, relatos, narraciones literarias, en general en distintos géneros literarios.

Los números y las Matemáticas aparecen habitualmente en los cuentos, poemas y narraciones de la literatura infantil y juvenil. Así mismo, en estos géneros literarios se constatan relaciones espaciales, formas, tamaños, cantidades, números, y es que en las “Matemáticas subyacen los pilares de la lógica y la creatividad” (Cervera, 1983, p. 32).

Así pues, se pretende desarrollar un análisis y reflexión a través de una revisión bibliográfica de la literatura infantil y juvenil relacionada con las “Matemáticas como herramienta resiliente para el afrontamiento de la enseñanza de esta disciplina creando nuevas situaciones de aprendizaje para desarrollar vínculos significativos entre la literatura matemática y la resiliencia” (Cervera, 1983, p. 22).

Los resultados de la investigación han dado a conocer herramientas teóricas y prácticas (relatos, cuentos, poesías, narraciones literarias, relatos) que acompañarán y favorecerán los procesos resilientes matemáticos a través de “la construcción de espacios simbólicos de refugio y acogimiento socioemocional mediante la lectura y la expresión creativa motivada por la literatura infantil y juvenil” (Pavón, 2015, p. 15)
Congeniality and P. A. Sorokin’s great dream of eternal peace
Authors: Glazyrin V. A.
Published: December 2022

P. A. Sorokin’s concept of congeniality is presented in the article. This outstanding sociologist believed that after the end of World War II Kant’s idea of eternal peace was no longer utopian. It seemed possible to Sorokin to bring this dream to life. Sorokin saw congeniality as a crucial social factor of a lasting peace and friendship between peoples and countries. He carried out a large-scale comparative study of the USA and Russia and came to the conclusion that these countries are very much alike (they are congenial), thus they would play a leading role in establishing and ensuring peace worldwide. Is it really possible to consider congeniality to be the basis of peace and friendship between peoples and countries? The aim of this article is to present a sociological and theoretical study of this problem. First, Sorokin’s methodology and key congenial characteristics of these two countries are provided in the article. Then, analytical and sociological study of these characteristics is carried out. It is shown that critical approach to Sorokin’s idea of congeniality of societies brings forward the discussion about societies and their interactions in present-day sociology and other social sciences. General scientiﬁc methods of deduction and induction as well as analysis and synthesis, document analysis method, system analysis and comparative historical method were used to study the problem presented in the article.
Andi Depu and Women’s Leadership in the Colonial Era: A Study of Feminism
Authors: Jannah Miftahul
Published: December 2022

This research departs from the problem of the existence of stereotypes against women who have intellectual qualities below men, because emotional feelings dominate in women. This has implications for the view that women are unfit to lead and ideal women are those who work in the kitchen, but such stereotypes actually lead to various discriminations against women. In this article, we will present the figure of Andi Depu as a female leader in Balanipa, who fought against the invaders. The methodology used in this study, namely the type of research: Library Research or literature study, nature of the research: qualitative, research method: descriptive analysis and using a feminist approach. The results in this study, namely: Andi Depu's leadership is a form of anti-thesis to the perception of society that views women as weak creatures, so they cannot be used as leaders. In addition, Andi Depu's leadership is also a form of anti-thesis to the misogynistic view which states that women only play a role in the domestic sphere and do not have a social role.
Perception of Ideal Body Image as Self-Disclosure in Early Adult Women
Authors: Afiah Nur
Published: December 2022

Tujuan dari penelitian ini adalah untuk mendeskripsikan gambaran citra tubuh perempuan dewasa awal, yang meliputi tiga komponen, yaitu persepsi, sikap, dan perilaku. Penelitian ini menggunakan metode kualitatif dengan pendekatan fenomenologi. Jumlah subjek penelitian sebanyak dua orang perempuan dewasa awaldengan usia antara 22 – 35 tahun. Hasil penelitian menunjukkan bahwa antara subjek 1 dan 2 memiliki perbedaan dalam memersepsi citra tubuh. Pada sikap dan perilaku memiliki hasil yang sama terkait citra tubuh, yaitu merasa puas ketika memiliki berat badan yang ideal, merasa tidak puas ketika ukuran pada daerah tertentu pada tubuhnya lebih besar dari pada orang lain. Implikasi dari puas dan ketidakpuasan pada kedua subjek tersebut menyebabkan kecemasan yang berdampak perilaku. Kedua subjek tersebut lebih banyak mengontrol makan, berolahraga, dan menggunakan atribut yang dapa menunjang penampilan mereka, sehingga percaya diri ketika bersosialisasi dengan orang lain.
Concept of Ideal Marriage in Early Adults
Authors: Jafar Eka Sufartianinsih , AR Mustainah
Published: December 2022

Penelitian ini bertujuan untuk menganalisis bagaimana konsep pernikahan ideal pada dewasa awal. Penelitian ini menggunakan pendekatan kualitatif dengan desain penelitian survei berupa penyebaran kuesioner yang diikuti oleh 27 orang dewasa awal berusia 19-25 tahun dengan latar belakang pendidikan SMA (26%) dan Perguruan Tinggi (74%). Subjek penelitian berdomisili dari beberapa daerah di Indonesia yaitu Makassar, Gowa, Ketapang, Barru, Soppeng, Takalar, Pare-Pare, Malang, Tana Toraja, dan Kalimantan Barat. Hasil penelitian menunjukkan bahwa konsep pernikahan ideal pada dewasa awal dapat ditinjau dari: (1) usia yaitu pada rentang usia 23-26 Tahun, (2) kesiapan mental 100%, (3) kesiapan keuangan 96,3%, (4) kesiapan moral 96,3%, (5) mengkomunikasikan jumlah anak dan pola asuh 96,3%, (6) saling mehamami peran suami/istri 92,6%, serta (7) agama sebesar 92,6%. Implikasi dari penelitian ini adalah untuk menjadi rujukan bagi individu khususnya yang telah berada di fase dewasa awal dalam merancang dan menentukan konsep pernikahan ideal yang akan dijalaninya kelak sehingga dapat mewujudkan keluarga yang sejahtera dan terhindar dari perceraian.
Peranan Pemerintah melalui Intervensi Pasar dalam Perspektif Islam
Authors: Merlinda Santi , Alam Riqa Aniqa Helma , Rishaq Qorry Anggita
Published: December 2022

Melonjaknya harga bahan bakar minyak (BBM) di Indonesia disebabkan kelangkaan minyak di dunia serta harga minyak mentah yang semakin tinggi pada tahun 2011. Kenaikan harga BBM memiliki multiplier effect pada seluruh sektor perekonomian, mulai dari transportasi, biaya produksi sampai dengan inflasi. Penelitian bertujuan untuk mengetahui Peranan Pemerintah terhadap Intervensi Pasar dalam Perspektif Islam dalam kasus kenaikan harga BBM di Indonesia, melalui pendekatan kualitatif, dengan metode studi kasus dan dokumenter. Dalam kasus ini, pemerintah Republik Indonesia melakukan intervensi dengan menetapkan harga beberapa komoditas BBM seperti solar, premium dan pertalite. Peran pemerintah dalam intervensi harga kenaikan BBM diperbolehkan dalam perspektif Islam, selama bertujuan untuk meningkatkan kemaslahatan masyarakat dan melindungi kepentingan rakyat, seperti mengurangi ketimpangan.
Pengaruh Karakteristik Sharia Marketing terhadap Minat Menabung Nasabah di Bank Syariah Indonesia (BSI) KCP Pinrang
Authors: Semaun Syahriyah , Musdalifah Musdalifah , Rasyid Sitti Cheriyah , Rukiah Rukiah
Published: December 2022

Penelitian ini bertujuan untuk mengetahui pengaruh karakteristik Pemasaran Syariah yang terdiri dari variabel Teistis (Rabbaniyyah), Etis (Akhlaqiyyah), Realistis (Al-Waqi'yyah) dan Humanistis (Al-Insaniyyah) terhadap minat menabung. Serta untuk mengetahui variabel dominan yang secara simultan mempengaruhi karakteristik Pemasaran Syariah terhadap minat menabung. Penelitian ini merupakan penelitian kuantitatif dengan metode deskriptif. Pengumpulan data dengan menyebarkan kuesioner. Metode yang digunakan untuk menguji hipotesis adalah Analisis Regresi Berganda. Hasil temuan penelitian ini adalah (1) variabel Teistik (Rabbaniyyah) berpengaruh positif dan tidak signifikan terhadap variabel minat menabung, (2) variabel Etis (Akhlaqiyyah) berpengaruh positif dan tidak signifikan terhadap variabel minat menabung, (3) variabel Realistis (Al-Waqi'yyah) berpengaruh positif dan tidak signifikan terhadap variabel minat menabung, dan (4) variabel Humanistis (Al-Insaniyyah) berpengaruh positif dan signifikan terhadap variabel minat menabung dan variabel Humanistis (Al-Insaniyyah) memiliki pengaruh paling dominan secara simultan terhadap minat menabung.
Overview of Big Data Analytics Technologies in Smart Grid
Authors:   Department of Electrical and Electronics Engineering, MS Ramaiah Institute of Technology, Bangalore (Karnataka), India, Arya Aditya , S Dr. Sridhar ,   Department of Electrical and Electronics Engineering, MS Ramaiah Institute of Technology, Bangalore (Karnataka), India.
Published: December 2022

Smart grids have become an essential component of modern society due to their interconnected nature. In the smart grid, unprecedented amounts of data will be created continuously due to the advanced sensor infrastructure. Therefore, analyzing smart grid data is becoming increasingly critical to delivering electricity and managing consumption in the business and physical sectors. Modernizing the grid requires data science, despite the challenges of integrating data analytics into the enterprise. A review of big data management & analysis in the smart grid is presented in this paper. Data analytics and its role in big data management are discussed in this paper along with the challenges of implementing those analytics, and how they can help achieve clean, reliable, and efficient grids. The paper supports Apache Flink due to native streaming for use cases that call for minimal latency, while Apache Spark is better suited for batch data processing.
VACCINE VANITY OR WANING IMMUNITY? TWELVE-YEAR EXPERIENCE ON TETANUS AT A TERTIARY CARE CENTRE, FROM SOUTH INDIA
Authors: G Asokan Athulya , Varghese V Abraham , Mathew Philip , Aravindakshan Rajeev , Khan Ejaz Mohammed , Latha Archana
Published: December 2022

Tetanus, a vaccine-preventable disease, is still a disease of concern for public health considering the high morbidity and
mortality. Even though the vaccine against tetanus infection is universally available and cheap, the immunization levels
among adults are low. Tetanus continues to cater to the pool of new cases in India. The rarity of presentation poses diagnostic challenges to the
clinicians. The case series is one among the few recent reports from India on tetanus. The series describes the clinical characteristics,
immunization status, diagnostic challenges, treatment outcomes, and complications of tetanus patients presented to tertiary care hospital in
Kerala from 2008 to 2019. Total of six patients were diagnosed with tetanus during the 12 years. The age of patients ranged from 32 years to 64
years, pre-dating the initiation of a universal immunization program in India. Most of the initial symptoms were related to the musculoskeletal
system and problems with the mouth and pharynx. The classical feature of trismus was not primarily evident in these cases. The average time
taken for diagnosis varied from 4 to 8 days and mortality rate was 33%.The cold spatula test was positive in all six cases and can be used as a
clinical test in the early diagnosis of Tetanus.The disease persistence indicate the need of robust measures for improving public awareness,
effective wound management and vaccination programs.
Drop Noise For CTR Prediction
Authors: Guo Tong
Published: December 2022

Click-through rate (CTR) prediction is task to estimate the
possibility of user clicking on a recommended item. The ground truth
labels of this task are the click history of users. As there are many reasons
why noise data or low quality data may be generated, the training data
has a certain amount of noise data or low quality data. In this work,
We propose a simple but effective method to find the noise data. Our
method could improve the offline AUC from 0.60 to 0.75 on our realworld dataset.
Design and Analysis of 1.5 MVA 25kV Hybrid Traction Feeder Powered by 415kW Solar Grid - Part I
Authors: Bansal Abhishek
Published: December 2022

This is a four-part paper series, which elaborates the novel hybrid design where the rated capacity of 415 kW solar power plant producing guaranteed 1.66 MWh per day, owned by a private firm supplies electrical energy to its privately served consumers and also feeds 25 kV railway distribution feeder located 20 Km away from the premises. This 415V transmission is boosted and feeds the lagging feeding post of 40 km long traction line which has hybrid 132 kV/25 kV transmission from DISCOM or Govt. owned substation, supporting train speed upto 160km/hr. These four part paper series are complete guide, enough to motivate investors and successfully demonstrates relay trip coordination, leading the role of one section of feeding post from 132 kV/25kV utility and handling of other safety and fault conditions. In this Part-1, the solar plant design with anti-islanding, guaranteed uninterrupted power supply, typical railway distribution feeder, design of proposed feeder - its connection to feeder, mounting pole, booster transformer, circuit breakers, isolators, lightening arresters, has been explained. The whole proposal is also simulated and the results are in the dataset. I have left r&d, so will not correct update or complete papers. The earlier version of two parts, which was able to get saved from computer crash is uploaded. 
A Contemporary and Comprehensive Survey on Streaming Tensor Decomposition
Authors: Thanh Le Trung , abed-meraim karim , Linh-Trung Nguyen , hafiane adel
Published: December 2022

Tensor decomposition has been demonstrated to be successful in a wide range of applications, from neuroscience and wireless communications to social networks. In an online setting, factorizing tensors derived from multidimensional data streams is however non-trivial due to several inherent problems of real-time stream processing. In recent years, many research efforts have been dedicated to developing online techniques for decomposing such tensors, resulting in significant advances in streaming tensor decomposition or tensor tracking. This topic is emerging and enriches the literature on tensor decomposition, particularly from the data stream analystics perspective. Thus, it is imperative to carry out an overview of tensor tracking to help researchers and practitioners understand its development and achievements, summarise the current trends and advances, and identify challenging problems. In this article, we provide a contemporary and comprehensive survey on different types of tensor tracking techniques. We particularly categorize the state-of-the-art methods into three main groups: streaming CP decompositions, streaming Tucker decompositions, and streaming decompositions under other tensor formats (i.e., tensor-train, t-SVD, and BTD). In each group, we further divide the existing algorithms into sub-categories based on their main optimization framework and model architectures. Finally, we present several research challenges, open problems, and potential directions of tensor tracking in the future.
Understanding of P vs NP Problem: With Extension of the Continuum Hypothesis
Authors: Yoon Jihyeon
Published: December 2022

P vs NP problem turns out to be P=NP in quantum computing but remains questions of optimization in classical computing.
Novel B Transtibial Prosthetic 9-DoF Artificial Leg Adaptive Controller-Part III
Authors: Bansal Abhishek
Published: December 2022

This is the third part of four-part series paper, where the control dynamics built on transtibial mathematical model is explained. The trajectory development and control dynamics equations with respect to obstacles detected is explained with popular algorithms employed in robotics and self-driving vehicles but . In this paper, it is mathematically and practically proved that Lagrangian of the kinetic and potential energy of artificial leg can never be equal to zero and is always equal to non-conservative forces and thus, any model based on the assumption of conservative forces is fully invalid practically. I have left r&d, so will not correct update or complete papers. The earlier version of two parts, which was able to get saved from computer crash is uploaded. 
Pilot Model for Fusion Power Ignition by Federating Acceleration Method
Authors: Yoon Jihyeon
Published: December 2022

Background: Amongst many suggestions toward fusion power ignition, particle acceleration related model has a advantage of reaching high temperature performance.

Objective: Suggesting a plasma enclosure model by applying particle acceleration could be tried.

Method: By given equation from unification of energy, application of heat and work transformation gives model to ignition of fusion power by accelerating fusion fuel.

Conclusion: By accelerating multiple inputs of fuel for fusion in an initiation of fusion power, higher temperature that meets requirement for nuclear fusion could be established.
Expanding Wormhole Simulation with Majorana Particle
Authors: Yoon Jihyeon
Published: December 2022

Backgrounds: Based on SYK-related models, Majorana particle is a fermion that is its own antiparticle. Recent discovery on simulating traversable wormhole by quantum processor based on Majorana particle is a significant progress in quantum simulation. By adding possible extendable approaches, more possibility could be suggested. 

Objectives: Discovering symmetry conservation attribute from Majorana particle to expand its usage for wormhole.

Methods: By applying to the simplified non-unit model, additional considerations for simulating wormhole would be discovered.

Results: Additional considerations of expanding holographic wormhole could be discussed in model.
Content characterization for live video compression optimization
Authors: Martini Maria , Al-Juboori Shaymaa
Published: December 2022

Compressing video sequences with different content complexity results in different bitrates for the same quality level or in different quality levels for the same bitrate; for instance it is well known that content with high spatial complexity and/or high motion requires high bitrates for compression with adequate quality. To address this, per-title optimization is used recently (e.g., by Netflix) to generate appropriate rate-quality representations for different Video on demand (VoD) content to be streamed via adaptive video streaming. However, this cannot be adopted for live video streaming as it requires encoding (multiple times) each video content. Spatial Information (SI) and Temporal Information (TI) have been often used as indicators of video complexity, for instance for preparing and describing content for video quality assessment tests, and for rate-distortion modeling. However, it has been questioned recently if different metrics could lead to a better estimation of ”compressibility” of video. In this paper we compare existing and proposed metrics in terms of their ability to estimate ”compressibility”. This supports quality-rate estimation and the possibility to create appropriate ”quality ladders” (different quality representations) for adaptive live video streaming. We observe in particular that metrics related to the variance of pixel values provide a good estimation of compressiblity for the considered datasets. 
Pollution Ranking of the most Popular Digital Platforms
Authors: Molinero Mingorance Natalia
Published: December 2022

This work evaluates the most popular digital services: Facebook, Instagram,TikTok, YouTube, Netflix, Amazon, Zoom, Skype, and Spotify. To date, such a complete analysis of the damage to the environment caused by  these applications has not been carried out and it is hoped that this paper will contribute mainly in three ways: raise awareness  of our digital carbon footprint; disseminate knowledge on how to estimate pollution from our online behavior; and pointing to the  causes of the issue to find optimal solutions. 
AI image generation application for Kansei engineering design process - milk carton case
Authors: Ishihara Shigekazu , Ruo Rueikai , Ishihara Keiko
Published: December 2022

This study shows the application of AI image generators with fine-tuning to the Kansei engineering design process.  Kansei engineering is a method for surveying and analyzing users' latent feelings and preferences to product and service development (Nagamachi, 1991, 2011).. There are several common difficulties in applying Kansei engineering, including a lack of variety in evaluation samples, the need for non-designers to participate in the design process, and the fact that designers are often too busy to fully engage in the design process. In order to address these challenges, we have applied an AI image generator, StableDiffusion  (Rombach et al. 2021),to the Kansei engineering design process. The "Hypernetworks" framework to fine-tune StableDiffusion in order to make better representation of the shape and appearance of milk cartons. Based on previous Kansei engineering study on milk cartons (Ishihara et al., 1996) , several attempts are shown to use AI-generated designs to create innovative and visually appealing milk carton designs, including designs incorporating red and blue colors and abstract shapes, and a design inspired by the abstract paintings of Jackson Pollock. The authors conclude that the use of AI technology can be a valuable tool in boosting innovative design through Kansei engineering, and that further research is needed to explore the potential for interaction between humans and AI in the design process.
Coherent long-time integration and Bayesian detection with Bernoulli track-before-detect
Authors: Uney Murat , Horridge Paul , Mulgrew Bernard , Maskell Simon
Published: December 2022

We consider the problem of detecting small and manoeuvring objects with staring array radars. Coherent processing and long-time integration are key to addressing the undesirably low signal-to-noise/background conditions in this scenario and are complicated by the object manoeuvres. We propose a Bayesian solution that builds upon a Bernoulli state space model equipped with the likelihood of the radar data cubes through the radar ambiguity function. Likelihood evaluation in this model corresponds to coherent long-time integration. The proposed processing scheme consists of Bernoulli filtering within expectation maximisation iterations that aims at approximately finding complex reflection coefficients. We demonstrate the efficacy of our approach in a simulation example.
Intraoperative Hypotension Prediction Based on Features Automatically Generated Within an Interpretable Deep Learning Model
Authors: Kim Junetae , Kim Sung-Hoon
Published: December 2022

Monitoring arterial blood pressure (ABP) in anesthetized patients is crucial for preventing hypotension, which can lead to adverse clinical outcomes. Thus, several efforts have been made to develop an artificial intelligence-based hypotension prediction index. Nevertheless, the use of these indices is limited because they may not provide a convincing interpretation of the association between predictors and hypotension. Herein, we developed an interpretable deep learning model that forecasts hypotension occurrences 10 min before a given 90 s ABP record. Internal and external validations of model performance reported the area under the receiver operating characteristic curve (AUC) as 0.9145 and 0.9035, respectively. Furthermore, the hypotension prediction mechanism can be physiologically interpreted by using predictors representing ABP trends that are automatically generated in the proposed model. Ultimately, we demonstrate high-applicability of a deep learning model that has a high accuracy performance and provides an interpretation of the association between ABP trends and hypotension in clinical practices.
Interpretation idea of dynamical topological phase in concept of ordinal
Authors: Yoon Jihyeon
Published: December 2022

Recent study suggests dynamical topological phase could be derived into additional dimension of time. By adding interpretation of this phenomenon with a topological interaction within simplified model, possibility of approaching many-timeline in real world could be suggested.
Analytical Determination of the Maximum Absorbable Interference Power Delivered to PCB Components
Authors: Mohammadi Hadi , Ansari Dogaheh Amirreza , Khavasi Amin , Akbari Mahmood
Published: December 2022

 In this paper we derive a method to determine the worst-case radiated immunity of a given printed circuit board (PCB) layout, whose benefits are threefold. First, the worst-case performance could be used as a reference to compare the radiated immunity of two competing, schematically-identical-yet-electromagnetically-distinct layouts. Second, it could be used as a criterion to determine whether a given layout is able to observe the particular requirements of a given electromagnetic compatibility (EMC) standard. And finally, since this method is element-independent, it requires no modelling for complex circuit elements such as non-linear elements, logic gates, processors, etc. to interact with electromagnetic interference (EMI). Our method determines how much power could be delivered to the non-linear circuit elements of the PCB by an EMI under a worst-case scenario. This could be done, either for the entire PCB, or for specific parts and elements of interest, such as sensitive elements, logic gates, microprocessors, etc. While a fully analytical approach with a closed-form solution is developed for the former, the latter could be obtained through an analytical derivation followed by numerical maximization. These methods would enable the rapid and straightforward evaluation of the designs’ immunity at any stage, resulting in saving cost and time. 
360° Stereo Image Composition with Depth Adaption
Authors: Huang Kun , Zhang Fanglue , Zhao Junhong , li yiheng , Dodgson Neil
Published: December 2022

360° images and videos have become an economic and popular way to provide VR experiences using real-world content. However, the manipulation of the stereo panoramic content remains less explored. In this paper, we focus on the 360° image composition problem, and develop a solution that can take an object from a stereo image pair and insert it at a given 3D position in a target stereo panorama, with well-preserved geometry information. Our method uses recovered 3D point clouds to guide the composited image generation. More specifically, we observe that using only a one-off operation to insert objects into equirectangular images will never produce satisfactory depth perception and generate ghost artifacts when users are watching the result from different view directions. Therefore, we propose a novel view-dependent projection method that segments the object in 3D spherical space with the stereo camera pair facing in that direction. A deep depth densification network is proposed to generate depth guidance for the stereo image generation of each view segment according to the desired position and pose of the inserted object. We finally merge the synthesized view segments and blend the objects into the target stereo 360° scene. A user study demonstrates that our method can provide good depth perception and removes ghost artifacts. The view-dependent solution is a potential paradigm for other content manipulation methods for 360° images and videos. 
Flexible HTTP-based Video Adaptive Streaming for good QoE during sudden bandwidth drops
Authors: Nguyen Viet Hung , Nam Pham , Truong Thu Huong
Published: December 2022

We have observed a boom in video streaming over the Internet, especially during the Covid-19 pandemic, that could exceed the network resource availability. In addition to upgrading the network infrastructure, finding a way to smartly adapt the streaming system to the network and users’ conditions to satisfy clients’ perceptions is exceptionally critical, too. This paper proposes a new QoE-aware adaptive streaming scheme over HTTP - ABRA - to make flexible adaptations based on the network and the client’s current status. Besides, we propose a technique that can keep the buffer at an average high for more than 10s. We were limiting the phenomena of rebuffering due to unexpected and unpredictable bandwidth changes. The algorithm keeps the quality of subsequent versions at a constant level even when the average bitrate decreases, increasing the QoE. Experimental results show that our method can improve QoE from 7.86% to 20.41% compared to state-of-the-art methods. ABRA can provide better performance in terms of QoE score in all buffer conditions compared to the existing solutions while maintaining a minimum secured buffer level for the worst case. 
Flexible QoE optimized Video Adaptive Streaming over HTTP for sudden bandwidth drops
Authors: Nguyen Viet Hung , Nam Pham , Truong Thu Huong
Published: December 2022

We have observed a boom in video streaming over the Internet, especially during the Covid-19 pandemic, that could exceed the network resource availability. In addition to upgrading the network infrastructure, finding a way to smartly adapt the streaming system to the network and users’ conditions to satisfy clients’ perceptions is exceptionally critical, too. This paper proposes a new QoE-aware adaptive streaming scheme over HTTP - ABRA - to make flexible adaptations based on the network and the client’s current status. Besides, we propose a technique that can keep the buffer at an average high for more than 10s. We were limiting the phenomena of rebuffering due to unexpected and unpredictable bandwidth changes. The algorithm keeps the quality of subsequent versions at a constant level even when the average bitrate decreases, increasing the QoE. Experimental results show that our method can improve QoE from 7.86% to 20.41% compared to state-of-the-art methods. ABRA can provide better performance in terms of QoE score in all buffer conditions compared to the existing solutions while maintaining a minimum secured buffer level for the worst case. 