bluuebunny/crossref_metadata_2025 huggingface dataset:
Abstract IA11: Translating the cancer genome one codon at a time and its therapeutic implications
Authors: Ruggero Davide
Published: December 2020

Our research is centered on understanding translational control of gene expression in both normal health and disease in a cell- and tissue-specific manner, with a particular focus on cancer biology. Our research combines mouse genetics with genome-wide translational profiling, in-depth molecular biology, and pharmacology to systematically define the points of regulation, in cis and trans, by which the genome is selectively decoded into proteins. We have uncovered that a common denominator of multiple oncogenic pathways is their ability to directly control the core translation machinery of a cell, resulting in the rapid rewiring of mRNA translation programs that promote distinct hallmarks of cancer development such as cell growth, metabolism, and increased motility. For example, our most recent findings delineate the in vivo requirements for a distinct threshold of the major cap-binding protein, eIF4E, a key translation factor downstream of mTOR signaling, in normal organismal development compared to that required for translating the cancer genome. We show that cancer cells require increased eIF4E activity for their survival as distinct subsets of mRNAs that regulate the cancer cell oxidative response are marked by the presence of a novel eIF4E-dependent cis-acting translational control motif present in their 5'UTRs. I will also discuss the generation of the first comprehensive systems-level analysis of the “cancer translatome” during each phase of cancer development in vivo that highlights a dichotomy in transcriptional vs. translational control of gene expression guiding key, select steps in cancer development and evolution. These studies have uncovered a previously unappreciated translation program guiding tumor cell evasion of immune checkpoints. The immediate impact of our research has been the design of a new generation of compounds to target the aberrant translation machinery in cancer cells, which are currently in clinical trials and may reflect a new frontier in cancer therapy.

Citation Format: Davide Ruggero. Translating the cancer genome one codon at a time and its therapeutic implications [abstract]. In: Proceedings of the AACR Special Conference on Targeting PI3K/mTOR Signaling; 2018 Nov 30-Dec 8; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Res 2020;18(10_Suppl):Abstract nr IA11.
Abstract IA12: Coordination of mRNA processing, translation, and metabolism by mTORC1
Authors: Blenis John , Lee Gina , Cho Sungyun , Zheng Yuxiang , Jang Cholsoon , Cantley Lew , Rabinowitz Joshua , Dephoure Noah
Published: December 2020

The mTOR complex 1 (mTORC1)–S6 protein kinase (S6K1) signaling pathway has evolved to sense and respond to changes in growth factor and hormone-dependent signaling, cellular energy status, nutrient availability, and surrounding oxygen concentrations. A major mechanism through which mTOR regulates downstream processes is via the coordinated regulation of gene expression, mRNA biogenesis, protein synthesis, and protein degradation. I will discuss our studies linking mTORC1/S6K1 to mRNA processing, metabolism, and cancer progression.

Citation Format: John Blenis, Gina Lee, Sungyun Cho, Yuxiang Zheng, Cholsoon Jang, Lew Cantley, Joshua Rabinowitz, Noah Dephoure. Coordination of mRNA processing, translation, and metabolism by mTORC1 [abstract]. In: Proceedings of the AACR Special Conference on Targeting PI3K/mTOR Signaling; 2018 Nov 30-Dec 8; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Res 2020;18(10_Suppl):Abstract nr IA12.
Elevated Endostatin Expression Is Regulated by the pIgA Immune Complex and Associated with Disease Severity of IgA Nephropathy
Authors: Zhai Yaling , Long Xiaoqing , Gao Jingge , Yao Xingchen , Wang Xinnian , Zhao Zhanzheng
Published: December 2020

Background/Aims: Renal vascular injury accounts for the poor outcomes of patients with IgA nephropathy (IgAN). In this study, we investigated whether endostatin, a potent inhibitor of angiogenesis, is associated with IgAN. Methods: Serum endostatin levels were detected in patients with IgAN, disease controls, and healthy controls, and the correlation among endostatin and clinicopathologic manifestations, as well as prognosis in patients with IgAN, was analyzed. In addition, serum endostatin levels were compared in patients “before” and “after” treatment. Data on endostatin expression in the renal interstitium of patients with IgAN were downloaded and analyzed from the GSE35489 array in the GEO database. The poly-IgA1 (pIgA) immune complex is widely recognized as the “trigger” of IgAN initiation. pIgA in the plasma of patients was extracted and used to stimulate human glomerular endothelial cells (GECs). Endostatin, IL-6, and CXCL1 in the cell supernatant were detected by ELISA kits. Results: We found that serum endostatin levels were significantly increased in patients with IgAN, as was endostatin expression in the renal interstitium. Patients with IgAN were divided into 2 groups according to the median value. The high endostatin expression group had significantly higher levels of serum creatinine and BUN and more severe tubular/interstitial damage. Moreover, patients with arteriolar injury and endothelial cell proliferation had higher serum endostatin levels. Patients with high serum endostatin levels had poor prognosis. According to the in vitro experiment, the GEC apoptosis rate and the supernatant levels of endostatin, IL-6, and CXCL1 were significantly increased following pIgA stimulation. Conclusion: Our study found that elevated endostatin expression was associated with disease severity and poor prognosis in patients with IgAN and can be upregulated by pIgA, but how it participates in the pathogenesis of IgAN deserves further exploration.
The Top 100 Most-Cited Papers in Cariology: A Bibliometric Analysis
Authors: Baldiotti Ana Luiza Peres , Amaral-Freitas Gabrielle , Barcelos Joice Fonseca , Freire-Maia Juliana , Perazzo Matheus de França , Freire-Maia Fernanda Bartolomeo , Paiva Saul Martins , Ferreira Fernanda Morais , Martins-Júnior Paulo Antônio
Published: December 2020

A highly cited paper is seen as a landmark in any field and can influence both research and clinical practice. This study aimed to quali-quantitatively analyze the 100 most-cited papers in Cariology. A search strategy was first determined using specific keywords related to the field. A comprehensive search was then conducted in the Thompson Reuters Web of Science citation indexing database up to April 2019. Papers focused on any aspect of Cariology were included. A panel of 4 researchers conducted the selection of papers and extracted data on the number of citations, title, authors, country, year, journals, study design, and topic of interest. Scopus and Google Scholar were also searched to compare the number of citations. The VOSviewer software was used to generate bibliometric networks. The number of citations among the top 100 most-cited papers ranged from 168 to 1,961 with a mean of 292,66. Three papers had more than 1,000 citations. The Journal of Dental Research (20%) and Caries Research (17%) had more top papers. The oldest and the most recent papers were published in 1960 and 2015. Literature reviews (35%) and laboratorial studies (31%) were the most common study designs. The countries with the highest number of most-cited papers were the USA (40%), Sweden (10%), and Japan (9%). The most studied fields of interest were etiology/pathogenesis (41%) and prevention (20%). VOSviewer maps revealed collaborative networks between countries and organizations. The top 100 most-cited papers in Cariology were published mainly by European and Anglo-Saxon American authors and were composed mainly of literature reviews with etiology/pathogenesis as the most frequent topic of interest.
Mixed Upper and Lower Motor Neuron Damage in Japanese Encephalitis Virus Infection
Authors: Ghosh Ritwik , Dubey Souvik , Chatterjee Subhankar , Kanti Ray Biman , Benito-León Julián
Published: December 2020

Cerebral manifestations in Japanese B encephalitis are well known. However, there are very few studies focusing on extra-cerebral manifestations, among which focal anterior horn cell involvement is exceedingly rare. We herein report a case of Japanese B encephalitis with focal anterior horn cell involvement and unfurl how stepwise clinical approach and targeted investigations helped to solve the diagnostic conundrum. A 27-year-old female was admitted with fever, headache, altered sensorium, and convulsions. She tested positive for Japanese B encephalitis-IgM. Following conservative management, she regained consciousness after 5 days when neurological examination revealed marked cognitive impairment, medial convergence of eyeballs, upward gaze restriction, upper limbs dystonia with brisk tendon jerks, and flaccid paraparesis. A repeat neurological examination, on day 15 of admission, showed marked wasting and intermittent fasciculation in both lower limbs. Brain magnetic resonance imaging showed asymmetrical (right > left) bilateral thalamic and midbrain lesions, hyperintense on T2 and T2-fluid-attenuated inversion recovery (FLAIR)-weighted imaging with mild diffusion restriction on diffusion-weighted imaging and apparent diffusion coefficient map, suggestive of encephalitis . Nerve conduction study revealed decreased compound muscle action potentials exclusively in lower limbs with intact sensory nerve action potentials. Electromyogram showed chronic denervation potentials and presence of spontaneous activity in lower limbs, but not in upper limbs, indicative of focal anterior horn cell involvement. Prognosis of Japanese B encephalitis does not only depend on cerebral sequelae. Anterior horn cell involvement can dictate poor outcome and can easily be missed if not carefully dealt with.
Scrittura e intertestualità ne La Cognizione del Dolore di Carlo Emilio Gadda
Authors: Rusconi Fabrizio
Published: December 2020

L’articolo, prendendo spunto da una espressione di Gianfranco Conti- ni che a proposito di Gadda parla di “rimpianto della letteratura perduta”, si ripropone di analizzare, ne La Cognizione del Dolore di Carlo Emilio Gadda, l’emersione di una nostalgia testuale verso quelli autori e quelle opere del passato in cui tra letteratura e mondo non si era ancora frapposto il sospetto, l’incomprensione che caratterizzeranno il XX secolo. Gli spazi, le forme e i modi attraverso cui questa nostalgia si fa sensibi- le dipendono dal complesso gioco intertestuale affidato al testo. Pastiche, citazione, traduzione sono tra le principali modalità che l’autore della Cognizione sceglie per tematizzare ambiguamente la discontinuità tra presente e passato. Dietro all’apparente sarcasmo e all’ironia con cui sono trattati gli autori catturati nella vertigine intertestu- ale il lettore potrà avvertire un sentimento di lontananza, rimpianto e nostalgia.
modello per Pirandello: Capuana e gli spiriti
Authors: Michelacci Lara
Published: December 2020

Il saggio analizza l’influenza di Capuana sull’opera di Luigi Pirandello. Dalle riflessioni sullo spiritismo, e dalle esperienze mediatiche: di scrittura automatica, Capuana elabora la teoria dell’allucinazione artistica e proclama il principio di un’arte che crea personaggi vivi, capaci di agire nella realtà come esseri autonomi. Tra il 1904 e il 1915, il giovane Pirandello raccoglierà alcuni spunti di quelle riflessioni, com’è evidente ne Il Fu Mattia Pascal, per la scena della seduta spiritica, e soprattutto nel racconto Personaggi e poi in Sei personaggi in cerca d’autore. Il mistero della perce- zione sensibile è il nodo comune dei due scrittori siciliani che, alle soglie del Novecen- to, sembrano passarsi il testimone sulle domande relative al principio della duplicità dell’essere.
Olhar de dentro, olhar de fora: a Itália do Grand Tour
Authors: Silva Gisele Batista
Published: December 2020

Este artigo apresenta breve análise sobre o papel das narrativas de viagem cujo cenário era a Itália do Grand Tour, demonstrando como essas narrativas acabaram por determinar o tom e os temas que descreviam e interpretavam a cultura italiana ao longo de muitos séculos. Pretende, ainda, evidenciar a contribuição dessas narrativas para a formação de uma consciência de si não apenas na Itália, mas em toda a Europa moderna.
herança da língua italiana na fala e na cultura dos Argentinos: italianismos e italianidade
Authors: Mordente Olga
Published: December 2020

O presente trabalho se propõe a ilustrar de que forma a cultura e a língua sofreram na Argentina significativas mudanças devido à forte imigração italiana. Normalmente são os imigrantes que se adaptam à cultura existente, mas, neste caso, o processo foi inverso ou recíproco. Nosso objetivo principal é, portanto, o de apresentar uma visão geral, por meio de depoimentos e entrevistas, das razões pelas quais uma pessoa de origem italiana decide estudar a língua dos pais ou dos avós, considerando que de 15 a 20 milhões de argentinos têm algum antepassado italiano, ou seja, praticamente metade da população. Queremos também mostrar como os descendentes não revelam, em sua maioria, traços de uma identidade italiana, mas, ao contrário, um interesse em obter a cidadania mais ligado às vantagens e às facilidades que isso representa para os cidadãos argentinos.
neorrealismo à comédia à italiana
Authors: Stucchi Fernanda
Published: December 2020

O período neorrealista do cinema italiano iniciou-se no imediato pós-guerra (1945), tendo seu período de produção mais importante e intenso entre 1945 e 1948. Paralelamente, desenvolveu-se a “commedia all’italiana” que, com características próprias, possuía um poder de atração cada vez maior junto ao público italiano. Na “commedia all’italiana” dá-se continuidade aos temas neorrealistas (as diferenças sociais e a pobreza na Itália do pós-guerra, o desemprego, a questão agrária, a falta de moradia, etc.), que podiam ser abordados com menos temor da pressão da censura, já que essa tendia a manter sua atenção voltada com mais empenho para o cinema ‘sério’. O público foi atraído pela forma com que os argumentos eram tratados, menos crua e triste daquela do cinema neorrealista: pois esse tipo de cinema melhor permitia a identificação do público com histórias parecidas com as suas e com temáticas sociais que abordavam as dificuldades pelas quais todos passavam, desde que fossem tratadas de forma cômica e divertida. A “commedia all’italiana” apresenta um catálogo de estereótipos italianos em um momento em que uma nova identidade nacional estava sendo construída e sentia-se a necessidade de sair em busca de novos caminhos a serem seguidos.
Si è aperta una porta con dietro il buio: apontamentos sobre o filme La Rabbia, de Pier Paolo Pasolini
Authors: Scamparini Julia
Published: December 2020

Este ensaio sobre o filme La rabbia (1962), de Pasolini, dialoga com um momento histórico de muita produtividade de documentários ensaísticos e de análises e teorias a respeito. O olhar direcionado ao passado procura, então, atualizar-se por meio de escritos contemporâneos, e promove um encontro com o recente gesto de restaura ção e redescoberta de um filme desejado, mas não finalizado décadas atrás. Todo este contexto de análise e revisitação deixa claro que o filme La rabbia tem a raiva como sua espinha dorsal, antes, durante e depois: o sentimento poético-político da raiva que impulsiona o gesto artístico, como é de costume em Pasolini; a raiva pela matéria-prima, as imagens-inimigas, parte da metodologia de trabalho; e, finalmente, a raiva pela imposição do produtor e pelo embate indesejado com um opositor ideológico, após ter em mãos o filme pronto.
Private Enterprise, International Development, and the Cold War
Authors: Kapstein Ethan B.
Published: December 2020

This article sheds light on the role of foreign direct investment as an instrument for economic development and, in turn, for the advancement of U.S. foreign policy goals during the Cold War. From the earliest days of the Cold War, and especially after the U.S.-Soviet competition for influence in the developing world began in the 1950s, the United States sought to promote private enterprise on behalf of U.S. goals. In the late 1940s and early 1950s, U.S. officials believed that foreign investment would suffice to fuel international development, obviating the need for official development assistance. These hopes, however, were largely disappointed. On the one hand, U.S.-based multinational companies preferred to invest in the industrial world; on the other hand, some Third World governments were uninterested in promoting private enterprise rather than state-led development. In part because foreign investment did not meet expectations, the U.S. government ended up elaborating an official foreign aid program instead.
The Ricardian State: Carlos Calvo and Latin America’s Ambivalent Origin Story for the Age of Decolonization
Authors: Davis Teresa
Published: December 2020

This article explores Latin America’s place in discussions about decolonization through the work of the Argentine international lawyer Carlos Calvo. It argues that while Calvo was an early proponent of Latin American sovereignty and a subtle critic of European empires, he worked within a framework that differed remarkably from that of post-World War II decolonization struggles. Most notably, Calvo’s defense of Latin American sovereignty was rooted in a liberal anti-imperialism which emphasized the important role of Latin American states as the bulwarks of free markets rather than the role of the state in curtailing markets in favor of national development. In the final section of this article I suggest some ways in which highlighting the history of liberal anti-imperialism might help reframe some of the conundrums present in recent histories of the more renowned era of Asian and African decolonization.
Unaccompanied Afghan Minors’ Rights when Restrictive Transnational Migration Policies are in Force – The Case of Sweden
Authors: Francia Guadalupe , Edling Silvia
Published: December 2020

This article highlights how migrant childrens’ rights to, and within, education can be negotiated at the national level. The aim is to underline and discuss the discourses that appear in selected Swedish legal and political documents relating to unaccompanied Afghan minors. Drawing on critical discourse analysis (cda), this research shows the co-existence of two different discourses on unaccompanied Afghan minors. The first discourse is based on the concept of unaccompanied Afghan minors as global rights holders and considers all children without exception as having the right to receive human assistance, education and appropriate protection against violence. The second discourse relates to the concept of unaccompanied Afghan minors as foreign citizens, which counteracts the work of Swedish authorities to deal with contradictions in policies assuring the rights of migrant children. This could also be a risk when the Convention on the Rights of the Child becomes Swedish law in 2020.
The Child’s Right to Protection against Economic Exploitation in the Digital World
Authors: van der Hof Simone , Lievens E. , Milkaite I. , Verdoodt V. , Hannema T. , Liefaard T.
Published: December 2020

Children face significant consumer risks when surfing online, related to, inter alia, embedded advertisements and privacy-invasive practices, as well as the exploitation of their incredulity and inexperience resulting in overspending or online fraudulent transactions. Behind the fun and playful activities available for children online lie complex revenue models, creating value for companies by feeding children’s data into algorithms and self-learning models to profile them and offer personalised advertising or by nudging children to buy or try to win in-app items to advance in the games they play. In this article we argue that specific measures against these forms of economic exploitation of children in the digital world are urgently needed. We focus on three types of exploitative practices that may have a significant impact on the well-being and rights of children – profiling and automated decision-making, commercialisation of play, and digital child labour. For each type, we explain what the practice entails, situate the practice within the existing legislative and children’s rights framework and identify concerns in relation to those rights.
Whose Children? Protecting Unaccompanied Migrant Children in Europe: A Case of Diffused Responsibility?
Authors: Iusmen Ingi
Published: December 2020

This paper examines the reasons behind the failure of EU and national policy interventions to protect unaccompanied migrant children’s (unaccompanied minors – uams) rights during the refugee crisis in Europe. By drawing on policy documents and empirical data, it is argued that the deficient protection of uam s’ child rights was essentially a failure of responsibility allocation in line with the “bystander effect” analytical explanation. While this argument does not disregard the role of other explanatory factors, such as the lack of European solidarity, poor legal enforcement and financial reasons, among others, it is claimed that the diffusion of responsibility (in theory and practice) between various policy systems at the national level, as well as between the EU and domestic levels, contributed to the failure to protect uam s’ child rights across Europe.
Contestation of Kosovo’s Statehood from Within: EULEX Judges Adjudicating Privatization Matters through ‘Status Neutrality’
Authors: Istrefi Kushtrim
Published: December 2020

Kosovo’s statehood has been contested by foes as well as friends. Much is known about the former and less about the latter. This contribution explores the contestation of Kosovo’s independence by the judges of the European Union Rule of Law Mission in Kosovo (eulex) working on privatization matters before Kosovo courts. As put by the Constitutional Court of the Republic of Kosovo (kcc), eulex judges working on privatization matters, “simply continued to ignore the existence of Kosovo as an independent State and its legislation emanating from its Assembly”. The kcc stated this after eulex judges working on privatization matters had refused to respect Kosovo laws and institutions subsequent to the 2008 Kosovo Declaration of Independence. This paper explores the judicial dialogue on Kosovo’s independence between eulex judges and the kcc and identifies the limitations and risks of the ‘status neutral’ policy applied by international organizations to collaborate with Kosovar institutions without prejudging its political status. This submission suggests that ‘status neutrality’ leads to either acceptance or contestation of Kosovo’s statehood and thus brings more uncertainty than clarity to Kosovo’s position in international relations.
語義演變、詞彙競爭與詞彙分層
Authors: 汪 鋒
Published: December 2020

新事物出現後，語言系統常用與之密切相關的舊詞來稱代，導致舊詞的語義演變；另一種策略是直接從其他語言借來詞彙。如果一個語言系統之下的不同群體採用不同策略，最終會造成該語言系統的詞彙競爭。競爭的結果要麼是一勝一敗，要麼各自佔據不同的使用領域，帶上語體色彩（文白/雅俗）。現代漢語“茗”“茶”二詞雅俗分層使用的格局就經歷了這樣複雜的歷史過程。本文考察了二詞在漢語史上演變、競爭和分層的過程，“茶”與“茗”經過漢魏南北朝的競爭，在唐代時，“茶”取得了核心地位，且一直保持至今，而“茗”並沒有在漢語中消失，還在古雅的場合中使用，其背後的社會文化動因源自明清時期沖泡方式的改變，及由此造成的區分飲茶雅俗的需要，“茗”因此獲得了新的生命力，這可以說明語言系統具有適應社會文化的協調機制。通過這一考察，還可以澄清茶文化史上的一些問題，如：“茗”源自漢語內部，與南亞語（原始德昂語）中的*miəm‘茶’無涉；飲茶文化的南北不同；亦可以為文本理解提供重要證據，如：《世說新語》中任育長問“為茶為茗”的“紕漏”何在。
Materialized PageRank for Identified Reality Recapitulation
Authors: Gupta Sandeep , Tyagi Nitin , Kaushab Shekhar Singh , Saraswat Krishan Kumar
Published: December 2020

The errand of Identified Element Recapitulation (IER) is to outline makes reference to report right sections for learning ground. This paper provides an innovative grid positioned recapitulation outlook dependent on Materialized PageRank (MPR) that consolidates neighborhood and worldwide
proof for recapitulation and successfully sift through commotion presented by off base hopefuls. Examinations demonstrate that our strategy beats best in class view points by accomplishing 93.2% in miniaturized scale and 88.7% in macro precision on a dataset of 31.2 K identified element specified.
Data Partitioning and Reduplication for Providing Integrity to Data in the Cloud
Authors: Nishkala H. M. , Anu S. H. , Bindushree D. A. , Manoj S. L.
Published: December 2020

Cloud Computing is a boon to the field of information and technology. The two major elements of client worries are Data security and Privacy Protection. Data may be revised and improved when client stores the information in the cloud so there might be danger of data loss. Therefore
client information is moved to the data hub which cannot be controlled by the clients. Hence high safety efforts are required to secure data inside the cloud. Here data is divided into fragments and they are converted into encrypted file. This encrypted file is issued to arbitrarily chosen
cloud service providers by the cloud data owners. Even after the successful attack, attackers do not get the meaning full information. If cloud data clients access to get any document that relating to encrypted file is regenerated from the fragments and clients must download it. When the applicant
coordinates the strategy with the original details, then only file can be decoded. Therefore it demonstrates that prospective strategy improves the data integrity and confidentiality.
Performance Analysis and Evaluation of Feature Selection Techniques to Find Coherence Using Cosine Similarity
Authors: Goswami Mausumi , Purkayastha B. S.
Published: December 2020

Unstructured Data is utilized in many major applications. It seems 80% of the data generated by various business applications are unstructured. Unstructured data can not be directly processed to generate information. Few major applications which uses AI are Recommendation systems, Sentiment
Analysis of customer’s emotions, finding duplicate content through plagiarism detection, document organization based on the requirements etc. Different forms of origin of such data can be categorized as unstructured text on the World Wide Web, sensor data, digital images, videos, sound,
result of scientific experiments and user profiles for marketing. Information retrieval from huge text datasets is quite challenging. This is caused by the various characteristics associated with natural languages and a major concern in text mining. Before we apply computational techniques
on documents it is important to make the documents ready for processing. Document Preprocessing is one such method applied for text documents. Document Preprocessing plays a vital role in document grouping. In this paper, four feature selection techniques are implemented and empirical investigation
results are included. The evaluation of the grouping outcomes are used to evaluate the effectiveness of each feature selection technique. The evaluation of the grouping outcomes are done to evaluate the effectiveness of each feature selection technique.
How to Overcoming Cyber Security Challenges Using Data Science
Authors: Geetanjali R. , Galaxyaan Charles , Niranjanamurthy M.
Published: December 2020

Data science, in its utmost essential form, is wholly about realizing. It encompasses reviewing, Processing, and Extracting valued identifications from a set of information. However, the word and procedure have-been about for quite a few time spans, it was principally a subsection of
computer science. Currently, it has established into a self-determining field. One of the modern application of data-science includes cyber security. Cyber Security is an emerged and a saturated field which is omnipresent. It’s sound strange to study Data-Science with the expectations
of refining cybersecurity, but in realism, it makes a lot of intellect. This research paper evaluates the progresses in using Data science for cyber security, the categories of cybersecurity threats and challenges posed. The authors have analyzed how data science concepts are being used to
solve these challenges and detect and prevent attacks real-time.
Resource Provisioning Analysis in Virtual Machines Using Statistical Performance of Workloads for Business Applications
Authors: Varghese Jeny , Jagannatha S.
Published: December 2020

Cloud Federation is the interconnection of two or more cloud computing settings in order to share configurable processing components such as networks, servers, apps that can be dynamically delivered to customers. Virtualization has been an integral part of cloud computing which provides
manageability and utilization of resources. This paper analyses on how jobs of business applications demand and efficiently use the capacity of the resources that are provisioned by the VMs, thereby managing the performance of the applications. The in-depth assessment is based on two large-scale
and constant performance traces gathered in a cloud datacenter that host company tools for running distinct apps with regard to requested and used resources.
Internet of Things Based Power Monitoring and Theft Detection
Authors: Nithyashree A. A. , Chandashwini M. Y. , Suma K. V. , Chougale Amruta B. , Likhitha C.
Published: December 2020

Today, our world is facing a challenging environment everywhere, energy crisis being the most important. The only solution to this is having an applicable system to govern the power usage. Our motivation is to achieve independence, sustainability, reliability, security and quality,
in terms of power, keeping aside our huge savings in the longer run. This project aims to deliver solutions to these problems by means of IoT as the means of communication and also attacking numerous other matters that smart systems can contract to avoid redundant losses to the energy suppliers
and also contribute towards developing a sustainable environment. In this paper, a sincere attempt has been taken to list out the essentials of “Smart Energy Grid” and to overcome the listed issues and providing an accurate billing to allow the user to analyze their energy consumption
without the interception of others. This grid can be implemented in advanced metering that provides an easy way of detecting the theft and monitoring power consumption.
Impact of Encoding of High Cardinality Categorical Data to Solve Prediction Problems
Authors: Gupta Heena , Asha V.
Published: December 2020

The prediction problem in any domain is very important to assess the prices and preferences among people. This issue varies for different kinds of data. Data may be nominal or ordinal, it may involve more categories or less. For any category to be considered by a machine learning algorithm,
it needs to be encoded before any other operation can be further performed. There are various encoding schemes available like label encoding, count encoding and one hot encoding. This paper aims to understand the impact of various encoding schemes and the accuracy among the prediction problems
of high cardinality categorical data. The paper also proposes an encoding scheme based on curated strings. The domain chosen for this purpose is predicting doctors’ fees in various cities having different profiles and qualification.
Rectifying Incorrectly Part of Speech-Tagged Polysemy Words in Kannada Language for Machine Translation
Authors: Desalli Abhay , Anirudh R. , Prajwal Pai N. , Rajeshwari S. B. , Kallimani Jagadish S.
Published: December 2020

Polysemy words refer to the same word, but have different context, when used in a single sentence, resulting in variant Part of Speech (POS). Occurrence of these Polysemy words, more than once, in a Kannada sentences, leads to ambiguity and is often cumbersome to translate
it to English, due to incorrect interpretation of the sentence. The algorithm proposed is, concentrated on a few examples, which can identify the wrong POS-tagged word in a sentence. The POS tagged sentence is obtained as an input through Shallow parser, and then, by owing to the structure
of Kannada language, the algorithm identifies the incorrectly tagged word.
Explanatory Analysis of EEG Data to Detect Seizures
Authors: Sunitha Hiremath P. G. , Rai Raghu Raj , Anshuman Ritwik
Published: December 2020

In this paper, we address one of the long-standing psychological disorders-seizure and the classification of patients as susceptible to seizure or healthy subjects. The classification is based on the EEG (electroencephalogram) recordings provided, by deploying the LSTM (long short-term
memory) neural network architecture. The Temple University Hospital (TUH) EEG corpus dataset is selected as the dataset to be worked upon throughout this paper. The TUH EEG corpus is an open and large dataset, which undergoes frequent updating. Along with the EEG recordings, the session records
also contain a detailed text report describing the medical history and the current condition of the patient as well. Another model, trained to utilize the NLP (natural language processing) features, approves the classification performed by the neural network on the EEG recordings. The proposed
framework then undergoes evaluation on the validation dataset. The accuracy achieved by the framework is 73.16% on EEG data and 64.86% on text data.
An Optimized Approach to Generate Multicarrier Radar Signal Using Computationally Efficient Algorithm
Authors: Raghavendra C. G. , Bhat Nagabhushana K. , Raghu Srivatsa M. P. , Dinesh P. A.
Published: December 2020

MCPC radar signal accedes the property of orthogonal frequency division multiplexing. A term in the complex envelope expression for MCPC shows similarity to the twiddle factor which paved a way for generating MCPC signal by incorporating computationally efficient algorithm which produces
envelope as similar with conventional method along with the reduction in the number of computations. Various transforms were validated, among all of them FFT implementation results gave rise to the least PMEPR which is the most essential for using power amplifiers in the faithful manner.
Classification of Individuals Based on Autonomic Response to Virtual Gaming
Authors: Chandana S. , Purnima B. R. , Vittal Prabhu Ravikala
Published: December 2020

Modern games consists of digital gaming consoles that involves interaction with a user and has an interface to generate visual feedback through 2D/3D monitor. These games have several psychological side effects like loss of spatial awareness, back pains, insomnia, addiction, aggression,
stress, and hypertension. Virtual reality (VR) Gaming is one of the most emerging and novel technologies in the field of entertainment. Evaluation of this new technology has become important in order to analyze the effects of its predecessors (2D and 3D gaming). The main focus of this paper
is on detection of stress levels in individuals due to VR gaming and classify them depending on their sympathetic and parasympathetic dominance. This is done through acquisition of electrocardiogram (ECG) and photo plethysmograph signals (PPG) signals and extracting their time domain and frequency
domain features before, during and after gaming (Fatma Uysal and Mahmut Tokmakçi, 2018. Evaluation of stress parameters based on heart rate variability measurement. Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey. fatmauysal@erciyes.edu.tr, tokmakci@erciyes.edu.tr.,
da Silva1, A.G.C.B., Arauj, D.N., et al, 2018. Increase in perceived stress is correlated to lower heart rate variability in healthy young subjects. Departamento de Fisioterapia, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil. s/n., 81531–980,
Curitiba, Parana, Brazil. E-mail: fernandoaldias@gmail.com.). The physiological signal variation is analyzed by performing Heart Rate Variability (HRV) analysis over ECG signals which is one of the fast emerging methods in non-invasive research and clinical tools for assessing autonomic nervous
system function (Juan Sztajzel, 2004. Heart rate variability: Aa non-invasive electrocardiographic method to measure the autonomic nervous system. Cardiology Center and Medical Policlinics, University Hospital, Geneva, Switzerland, SWISS MED WKLY 2004;134:514–522. www.smw.ch).
Pulse-transmissiontime-variability (PTTV), which is extracted, has high coherence with heart rate variability and is also used as an objective measure of stress. In this paper we obtain the response of an individual during VR gaming and correlate them with the HRV/PTT parameters. The game
chosen for the data acquisition was ‘VR city view rope crossing-360 android VR,’ during which data recording is done. It was found that there was a quantitative increase in physiological stress when individuals were exposed to virtual high heights in comparison with time
relative to unaltered viewing. Mean Heart rate showed a significant increase during gaming for both boys and girls which indicates that the body is under the influence of a sympathetic activity like a physical exercise.
E-Office: A Recent Proposal in Government R&D Institution: An Empirical Study
Authors: Satish K. H. , Rizwana M.
Published: December 2020

The continual advancement of new technologies have become prominent for Information and Communication Technology (ICT) to be applied and adopted in e-government initiatives. The implementation of ICT and e-services has been adopted by many countries, but implementation rate varies from
country to country. The main objective being providing greater transparency, efficiency, rendering quality service. Several government institutions have undertaken e-governance initiatives at multiple levels in the recent past and one such sector taken for study being the Indian Power Sector
system which is growing at a very rapid phase, having progressed with its huge amount of infrastructure made available to the research community. E-office implementation in power sector is very crucial for improving efficiency and commitment of Government sector for sustained growth of economy.
The present study highlights the implementation and utilization of E-office by the employees of “Central Power Research Institute” (CPRI), a R&D Organisation, an Autonomous society under Ministry of Power, Government of India. A pilot study of 30 employees having different
backgrounds was carried out. The study findings highlights practicality of usage in E-office.
Analysis of Vector Space Method in Information Retrieval for Smart Answering System
Authors: Yogish Deepa , Manjunath T. N. , Hegadi Ravindra S.
Published: December 2020

In the world of internet, searching play a vital role to retrieve the relevant answers for the user specific queries. The most promising application of natural language processing and information retrieval system is Question answering system which provides directly the accurate answer
instead of set of documents. The main objective of information retrieval is to retrieve relevant document from a huge volume of data sets underlying in the internet using appropriatemodel. There are many models proposed for retrieval process such as Boolean, Vector space and Probabilistic
method. Vector space model is best method in information retrieval for document ranking with efficient document representation which combines simplicity and clarity. VSM adopts similarity function to measure the matching between documents and user intent, and assign scores from the biggest
to smallest. The documents and query are assigned with weights using term frequency and inverse document frequency method. To retrieve most relevant document to the user query term, document ranking function cosine similarity score is applied for every document and user query. The documents
having more similarity scores will be considered as relevant documents to the query term and they are ranked based on these scores. This paper emphasizes on different techniques of information retrieval and Vector Space Model offers a realistic compromise in IR processing. It allows best weighing
scheme which ranks the set of documents in order of relevance based on user query.
Routing Protocols in Vehicle Ad-Hoc Network
Authors: Manju Bargavi S. K. , Sharma Avinash , Saravanan V.
Published: December 2020

Vehicular Ad-hoc Network (VANET) is associate rising autonomous dynamic topology network. It is a unique type of Mobile Ad-hoc Network during which the automobiles amendment their message with each other. VANET turns every automobile in it into a mobile node and use those nodes to make
a mobile dynamic community. The aim of VANET is to produce a wi-fi connectivity and numerous programs applications like collision dodging, safety and rising the traffic ratio as designing by the Intelligent Transportation System (ITS). The transport are strained by the sensible traffic surroundings,
and currently the simulations are primarily network simulations that cannot simulate the real hint of the object (vehicle). Merely as nodes in VANETS have identical excessive mobility, so there are masses of demanding situation to route the packets to there final destination which need to
be addressed by means of existing/offering new solutions for the comparable. Keeping view of above, In this paper, summarize the prevailing VANET routing protocols and classify and evaluate them. Then, listing numerous classic routing algorithms and examine their characteristics and advantages
and disadvantages. Eventually, by way of analyzing the reputation of vehicle-installed routing protocols, we tend to illustrate the difficulties and challenges that vehicle-mounted routing protocols can/will encounter within the future.
Internet of Things-Based Smart Drip Irrigation Using Arduino
Authors: Kumari Akanksha , Sahu Prabhat Kumar
Published: December 2020

Agriculture is one of the primary sectors in the Indian economy. Over the past several years, agricultural scientific techniques and agricultural implements have developed in the region, replacing the traditional method of farming. By which the economic condition of the farmers has
improved. In addition, there are still some small farmers in India who use the old traditional methods of farming of agriculture because they do not have the resources to use modern methods. Besides, it is the only region that has contributed not only to the development of itself but also
to other areas of the country. Agriculture has a major contribution to the country’s GDP and national income. In addition, it requires a huge manpower and labour which constitutes about 80% of the total workforce. Employees work not only directly but indirectly in the agricultural sector.
Irrigation is the use of controlled amounts of water at the required intervals to the plants. Effective irrigation will affect seed development, germination, root growth, utilization of nutrients, plant growth and revival, yield and quality of the entire development process. The farmer knows
how much water he has to give to the crop and when crop is to be planted, but the best system of irrigation it is necessary to have the information about use of equipment, plant species, soil structure, soil preparation and It is also important to be aware of all these that at what stage to
watering the plant. The aim of this research paper is to describe how the Internet of Things (IoT) framework plays an important role in the field of agriculture. Here to show the importance of IoT in agriculture, we choose “Smart Drip Irrigation System.”
Dental Caries Classification System Using Deep Learning Based Convolutional Neural Network
Authors: Megalan Leo L. , Kalpalatha Reddy T.
Published: December 2020

In the modern times, Dental caries is one of the most prevalent diseases of the teeth in the whole world. Almost 90% of the people get affected by cavity. Dental caries is the cavity which occurs due to the remnant food and bacteria. Dental Caries are curable and preventable diseases
when it is identified at earlier stage. Dentist uses the radiographic examination in addition with visual tactile inspection to identify the caries. Dentist finds difficult to identify the occlusal, pit and fissure caries. It may lead to sever problem if the cavity left untreated and not identified
at the earliest stage. Machine learning can be applied to solve this issue by applying the labelled dataset given by the experienced dentist. In this paper, convolutional based deep learning method is applied to identify the cavity presence in the image. 480 Bite viewing radiography images
are collected from the Elsevier standard database. All the input images are resized to 128–128 matrixes. In preprocessing, selective median filter is used to reduce the noise in the image. Pre-processed inputs are given to deep learning model where convolutional neural network with Google
Net inception v3 architecture algorithm is implemented. ReLu activation function is used with Google Net to identify the caries that provide the dentists with the precise and optimized results about caries and the area affected. Proposed technique achieves 86.7% accuracy on the testing dataset.
Privacy Control of Photo Sharing in Online Social Media
Authors: Goriparthi Radhika , Basani Kanyakumari Jagadish
Published: December 2020

Online Social Networks were famous for the data sharing etc., they have many features like chatting, photo sharing etc. A photo can be leaked without prior permission of the owner. A mechanism was developed to allow each individual in the group aware of the photo posting activity. An
efficient facial recognition system that can recognize two different photos was designed. Only the owner of the photo can share the photo, this system is superior to other systems in terms of recognition ratio. This application is developed on the windows platform.
Automated Outlier Detection for Electrical Motors and Transformers
Authors: Anitha Kumari K. , Sharma Avinash , Nivethitha S. , Dharini V. , Sanjith V. , Vaishnavi R. , Jothika G. , Shophiya K.
Published: December 2020

Electrical appliances most commonly consist of two electrical devices, namely, electrical motors and transformers. Typically, electrical motors are normally used in all sort of industrial purposes. Failures of such motors results in serious problems, such as overheat, shut down and
even burnt, in their host systems. Thus, more attention have to be paid in detecting the outliers. In a similar way, to avoid the unexpected power reliability problems and system damages, the prediction of the failures in the transformers is expected to quantify the impacts. By predicting
the failures, the lifetime of the transformers increases and unnecessary accidents is avoided. Therefore, this paper presents the detection of the outliers in electrical motors and failures in transformers using supervised machine learning algorithms. Machine learning techniques such as Support
Vector Machine (SVM), Random Forest (RF) and regression techniques like Support Vector Regression (SVR), Polynomial Regression (PR) are used to analyze the use cases of different motor specifications. Evaluation and the efficiency of findings are proved by considering accuracy, precision,
F-measure, and recall for motors. Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Square Error (RMSE) and R-squared Error (R2) are considered as metrics for transformers. The proposed approach helps to identify the anomalies like vibration loss, copper loss and overheating
in the industrial motor and to determine the abnormal functioning of the transformer that in turn leads to ascertain the lifetime. The proposed system analyses the behaviour of the electrical machines using the energy meter data and reports the outliers to users. It also analyses the abnormalities
occurring in the transformer using the parameters involved in the degradation of the paper-oil insulation system and the voltage of operation as a whole leads to the predict the lifetime.