bluuebunny/crossref_metadata_2025 huggingface dataset:
Abstract A22: Selective inhibition of TOR complex 2 as a means to sensitize cancer cells to DNA damage agents?
Authors: Cohen Adiel , Pataki Emese , Vital Nuria , Kupiec Martin , Weisman Ronit
Published: December 2020

The inhibition of the central growth regulatory kinase TOR, which participates in two complexes, TORC1 and TORC2, is the focus of many metabolic and cancer studies. Most studies have dealt with TORC1, the canonical target of rapamycin. However, TORC2 also plays a role in cancer development. In fission yeast, TORC2, through the activation of Gad8 (homologous to AKT in humans), is required for survival under DNA-damaging conditions. TORC2-Gad8 (AKT) is not required for Chk1-dependent DNA damage-induced cell-cycle arrest; however, perturbation of TORC2-Gad8 signaling generates an accumulation of homologous recombination (HR)-Rad52 containing repair foci. In addition, cells lacking TORC2-Gad8 become dependent on the HR pathway for their viability. Thus, we speculate that TORC2-Gad8 signaling affects HR-independent DNA repair pathways. Our most recent results suggest that TORC2-Gad8 is required for specific chromatin modifications that ensure proficient DNA damage repair. Given that the role of TORC2 in DNA damage repair is conserved in human cells, we predict that the selective inhibition of mTORC2 can improve combined therapy, by sensitizing cancer cells to DNA-damaging agents. Chemicogenetic screens that aim at isolating specific TORC2 inhibitors will be described.

Citation Format: Adiel Cohen, Emese Pataki, Nuria Vital, Martin Kupiec, Ronit Weisman. Selective inhibition of TOR complex 2 as a means to sensitize cancer cells to DNA damage agents? [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 A22.
Case of a Giant Conjunctival Melanocytic Nevus
Authors: Mori Hidetsugu , Takahashi Kanji
Published: December 2020

A 78-year-old female experienced extraocular extension of a giant conjunctival melanocytic mass. The clinical diagnosis was conjunctival malignant melanoma. We performed local excision and histopathological examination. The result of hematoxylin-eosin staining disclosed multiple intralesional mucosal cysts and nevus cell nests with abundant melanin. Immunohistochemical examination revealed expression of S-100, melan-A, and HMB-45 and no expression of Ki-67. Histopathological examination showed no evidence of malignancy. Giant conjunctival melanocytic nevi can be diagnostically confused with conjunctival malignant melanoma.
Estimation of Missing Baseline Serum Creatinine for Acute Kidney Injury Diagnosis in Hospitalized Patients
Authors: Laszczyńska Olga , Severo Milton , Correia Sofia , Azevedo Ana
Published: December 2020

Introduction: In hospitalized patients, information on preadmission kidney function is often missing, impeding timely and accurate acute kidney injury (AKI) detection and affecting results of AKI-related studies. Objective: In this study, we provided estimates of preadmission serum creatinine (SCr), based on a multivariate linear regression (Model 1) and random forest model (Model 2) built with different parametrizations. Their accuracy for AKI diagnosis was compared with the accuracy of commonly used surrogate methods: (i) SCr at hospital admission (first SCr) and (ii) SCr back-calculated from the assumed estimated glomerular filtration rate of 75 mL/min/1.73 m2 (eGFR 75). Methods: From 44,670 unique adult admissions to a tertiary referral centre between 2013 and 2015, we analysed 8,540 patients with preadmission SCr available. To control for differences in characteristics of patients with and without SCr, we used an inverse probability weighting technique. Results: Estimates of SCr were likely to be higher than true preadmission SCr in a low Cr concentration and undervalued in high concentrations although for Model 2 Complete-SCr these differences were smallest. The true cumulative incidence of AKI was 14.8%. Model 2 Complete-SCr had the best agreement for AKI diagnosis (kappa 0.811, 95% CI 0.787–0.835), while surrogate methods resulted in the lowest agreement: (kappa 0.553, 0.516–0.590) and (0.648, 0.620–0.676) for first SCr and eGFR 75, respectively. Conclusions: Multivariable imputation of preadmission SCr, taking into account elementary admission data, improved accuracy in AKI diagnosis over commonly used surrogate methods. Random forest-based models can serve as an effective tool in research.
The Long-Term Stability of Fat-Graft Myringoplasty in the Closure of Tympanic Membrane Perforations and Hearing Restoration
Authors: Han Jae Sang , Han Jung Ju , Park Jung Mee , Seo Jae-Hyun , Park Kyoung Ho
Published: December 2020

Background/Aims: This study was conducted to evaluate the long-term stability of fat-graft myringoplasty (FGM) for chronic tympanic membrane perforations, analyzing the perforation closure rate and re-gained hearing outcome with respect to the size and location of the perforations. Methods: Between August 2007 and June 2018, a total of 193 patients who underwent FGM due to chronic tympanic membrane perforation at a tertiary referral center were enrolled and analyzed. Results: The mean follow-up was 14.6 months (range 6–39). The complete perforation closure rate after FGM was 89.6%, with no statistical difference among the perforation size groups. The mean postoperative air-bone gap (ABG) was 11.0 dB and mean ABG improvement was 4.9 dB. Conclusion: Our FGM technique had a favorable tympanic closure rate for small to large perforations, and yielded relatively good hearing improvement in the mid-size perforation cases over long-term follow-up periods. According to the topographic evaluation of FGM, this procedure resulted in a reliable perforation closure rate and audiological results regardless of the perforation site.
Association between Vaspin rs2236242 Gene Polymorphism and Psoriasis Vulgaris
Authors: Dizen-Namdar Nazli , Akcilar Raziye , Bayat Zeynep
Published: December 2020

Background: Psoriasis known as a chronic inflammatory skin disease is accompanied by metabolic disorders such as obesity, diabetes, and dyslipidemia. Vaspin (a serine protease inhibitor derived from visceral adipose tissue) is a newly identified adipokine and a link between inflammation and obesity has been reported. We aimed to determine whether vaspin gene polymorphism is associated with the development and/or clinical features of psoriasis vulgaris. Methods: Our study group consisted of 96 psoriasis vulgaris patients and 100 matched controls. Vaspin rs2236242 gene was genotyped using PCR. Results: The vaspin genotypes showed a meaningful difference between psoriasis and control groups (p = 0.02). The frequency of the vaspin rs2236242 TT genotype was lower in psoriasis patients than in control participants (p < 0.05). The TA genotype was associated with a 2.38-fold increased risk of psoriasis compared to the TT genotype (p = 0.007, odds ratio: 2.38; 95% confidence interval: 1.25–4.55), but not the AA genotype. All subjects were the Turkish population, the study in other populations is needed and the sample size was small in number. Conclusion: Our study demonstrated that vaspin rs2236242 polymorphism is related to psoriasis in the Turkish population. Polymorphisms of the vaspin gene might serve as diagnostic biomarkers of psoriasis.
voz dos imigrados: uma análise do filme La mia classe (2013) de Daniele Gaglianone
Authors: Martirani Maria Célia
Published: December 2020

O filme de Daniele Gaglianone La mia classe pode ser inserido na tradição cinematográfica italiana dos chamados “filmes sobre migração”, porque se alinha aos que buscam representar a situação dramática daqueles que precisam se reinventar em terra estrangeira. Trata-se de uma obra que aponta a câmera para o mundo clandestino da imigração, deixando-o falar. Os protagonistas são todos amadores, não profissionais e se autorrepresentam, à exceção de Valerio Mastandrea, que faz o papel de um profes- sor-voluntário de uma classe de Língua Italiana para imigrados. Não faltam, em La mia classe, temas que tratam do drama da viagem, do trauma da separação familiar, da perda de identidade e da sensação de não pertencimento, comuns às diásporas contemporâ- neas. Mas o mérito do filme está muito mais em sua proposta formal que temática. Sua força reside justamente na zona híbrida entre o documentário e a ficção: “docufiction” (NICHOLS, 2014), problematizando os níveis de representação do real (JAMESON), numa perspectiva metacinematográfica, em que o cinema reflete sobre o alcance e as limitações da própria arte de fazer cinema.
Cozinha de Herança: memórias e identidades de um tesouro compartilhado
Authors: Azevedo Silvana , Ortale Fernanda
Published: December 2020

O objetivo deste artigo é propor o conceito de Cozinha de Herança, bem como explicitar o percurso realizado para chegar a tal definição. Na primeira parte, fazemos uma breve analogia entre língua e culinária. Em seguida, percorremos os conceitos teóricos de cultura, intercultura e identidade. Na última parte, apresentamos as reflexões sobre os relatos de uma imigrante italiana que vive no Brasil e que se dedica profissionalmente à gastronomia para, finalmente, propor a definição de Cozinha de Herança.
Using clinical guidelines to assess the potential value of laboratory medicine in clinical decision-making
Authors: Hicks Allan J. , Carwardine Zoe L. , Hallworth Mike J. , Kilpatrick Eric S.
Published: December 2020

Introduction: It is often quoted that 70% of clinical decisions are based on laboratory results, but the evidence to substantiate this claim is lacking.
Since clinical guidelines aim to document best-practice decision making for specific disease conditions, inclusion of any laboratory test means that
the best available evidence is recommending clinicians use it. Cardiovascular disease (CVD) is the world’s most common cause of mortality, so this
study reviewed all CVD guidelines published by five national/international authorities to determine what proportion of them recommended laboratory
testing.
Materials and methods: Five leading CVD guidelines were examined, namely the European Society of Cardiology (ESC), the UK National Institute
for Health and Clinical Excellence (NICE), the American College of Cardiology (ACC), the Australian Heart Foundation (AHF) and the Cardiac Society of
Australia and New Zealand (CSANZ).
Results: A total of 101 guidelines were reviewed. Of the 33 individual ESC guidelines relating to CVD, 24/33 made a direct reference to the use of
clinical laboratory tests in either diagnosis or follow-up treatment. The same applied to 15/20 of NICE guidelines, 24/32 from the ACC and 15/16 from
the AHF/CSANZ. Renal function and blood count testing were the most recommended (39 and 26 times), with lipid, troponin and natriuretic peptide
measurement advocated 25, 19 and 19 times respectively.
Conclusions: This study has shown that laboratory testing is advocated by between 73% and 94% of individual CVD guideline recommendations
from five national/international authorities. This provides an index to assess the potential value of laboratory medicine to healthcare.
‘What, Then, of the Land’?: Territoriality, International Law, and the Republic of New Afrika
Authors: Klug Sam
Published: December 2020

This article charts how African American appeals to international law shifted away from a politics of petition to a politics of sovereignty with the growing influence of postcolonial states in international society and the UN’s recognition of a right to self-determination. Whereas earlier efforts by African-descended peoples in the Americas to gain a hearing before international bodies often required pushing the boundaries of international legal personality to include entities other than states, in the late 1960s and early 1970s a black nationalist group called the Republic of New Afrika (RNA) pursued international subjectivity in its traditional and fullest form: as a sovereign state. Examining the writings of RNA leaders, especially Imari Obadele, this article explores how the group’s claims for territory, reparations, and international subjectivity relied on international legal discourse about plebiscites, self-determination, and national development.
Decolonization and International Law: Putting the Ocean on the Map
Authors: Ranganathan Surabhi
Published: December 2020

From the middle of the twentieth century onwards, the order of the ocean has changed as remarkably as that of land. Yet, developments in the law of the sea usually receive less prominent consideration in international or global histories of this period. In this short essay, I examine firstly the ways in which literatures in history and international law engage, or not, with the ordering of the ocean during, and due to, decolonization. Secondly, I suggest that the making of the law of the sea offers rich insights into the contingencies, currents, and counter-currents of the decolonization moment. Among other things it reveals fluid political geographies, epistemic churn, and alternative models for the extraction and distribution of natural resources. The flickerings and foreclosures of the various possibilities of the decolonization moment are well worth further study, especially as unsettling our understandings of oceanic lines becomes necessary in the present times.
Track Two Diplomacy: The Way Forward
Authors: Jones Peter
Published: December 2020

The articles in this issue present a wide range of findings. First, the field continues to grapple with definitional issues: different types of projects aimed at different outcomes and audiences. More care needs to be given by each dialogue to define rigorously what it is trying to do and why. Second, fundamental lessons have emerged over the past six decades, which must be learned and observed by those active in this field, even as they seek to push the boundaries of theory and practice. Third, while it is generally agreed that the field must become more inclusive, both in terms of people and interests, and also in terms of encouraging local ownership and more transformative projects, a one-size-fits-all approach will not work; each dialogue should be viewed as unique. Finally, the field is a dynamic and evolving one. What seems to be best practice today may not be so tomorrow.
Indicators for Monitoring Implementation of EU Equality Directives
Authors: Lantschner Emma
Published: December 2020

The present article discusses the usefulness of indicators in monitoring not only the legal transposition but also the practical implementation of the two Equality Directives adopted in 2000. It focuses on those provisions of the Directives which have assigned a particular role to ngos, both in reacting to discrimination as well as in preventing discrimination and promoting equality. Indicators have been developed on the basis of a comparative review of transposition and implementation, including case studies on Romania, Hungary and Croatia. Considering the great potential of ngos in contributing to achieve the aims of the Directives and the current worrying trends as to how they are supported in (or obstructed from) taking up their role, the article proposes using these indicators not only in the pre-accession context but also for regular monitoring of all EU member states.
Global Commons as an Emerging Arena of Contestation of Global Governance Structures and Norms
Authors: Burnay Matthieu , Chaisse Julien
Published: December 2020

The legal framework governing global commons still remains largely unexplored and consequently unregulated, opening the possibility of innovations to resolve transnational global problems. This results in building a dialogue between multiple stakeholders including international organisations, civil society, and emerging powers, resulting in shaping of the modern international law. With China’s growth in global commons domain, on account of reorientation in its foreign policy and increased engagement with international law, it is essential to understand in totality its contribution towards formulation and implementation of public policies at the national, international, and transnational levels. In this backdrop, the article attempts to understand how China influences development of regulatory frameworks governing the internet, space activities, and climate change. Focusing on China’s role as a ‘norm-taker’, ‘norm-maker’ or ‘norm-shaker’ of global governance, the article seeks to analyse its engagement in enhancing or impeding the preservation and fair allocation of resources.
China and the Global Commons: Selective Contributions and Contestation
Authors: Burnay Matthieu
Published: December 2020

The objective of this paper is to analyse how and why the People’s Republic of China (PRC) influences the making of regulatory and non-regulatory frameworks governing global commons. In the first part, the paper presents three factors that underpin the governance of the global commons today: the participation of a multiplicity of stakeholders (i.e. states and private actors); the establishment of new institutions, norms, and procedures to govern global commons; as well as the function of the commons as an alternative discourse to the crisis of neoliberal capitalism. In the second part, the paper presents how recent changes in China’s foreign policy and its engagement with international law inform the emergence of China as a key stakeholder in the governance of global commons, particularly in relation to the governance of maritime, space, Arctic, and cyber domains. In the third part, the paper introduces some specific features of China’s engagement with the global commons. These features include an instrumental and selective approach to international law; attempts to localise the governance of the commons; as well as reluctance in engaging with transnational actors in the governance of the global commons.
Classifying Non-International Armed Conflicts
Authors: Bradley Martha M
Published: December 2020

In terms of Additional Protocol ii to the Geneva Conventions ‘territorial control’ is a requirement in order to determine whether, as contemplated by the provisions of the Protocol, a non-international armed conflict exists. Complex situations in which conflict is not confined to the territorial borders of the State where the non-international armed conflict originated increasingly present a challenge to those responsible for conflict classification under the conventional law of non-international armed conflict. In situations such as these, a non-international armed conflict is no longer restricted to the territory of a single State. Multiple non-international conflicts involving numerous actors can co-exist in a single territory at the same time or lead to fighting across borders. The complex conflict situations in the Central African Republic, Mali, South Sudan and the Democratic Republic of the Congo serve as examples. Attaining legal certainty is pivotal with respect to conflict classification because the category of conflict determines the applicable rules of the conventional law of armed conflict. Even though Additional Protocol ii remains the only comprehensive treaty dedicated to the regulation of non-international armed conflict, there is a paucity of literature which analyses its scope of application, and specifically the territorial control requirement. This article offers an in-depth examination of the territorial control requirement.
Quantifying the Number of Hidden Han Buddhists in Contemporary China
Authors: Tseng Ampere A.
Published: December 2020

This article addresses the problem of quantifying Han Buddhists who do not self-identify as Buddhists when responding to survey questions about religious belief and thus remain “hidden Buddhists.” Drawing on the results of various religious surveys and field observations, as well as taking into account the nonexclusive feature of Han Buddhists, the article develops a formula to quantify the hidden Han Buddhists. Data from one national survey and one regional survey are used to tune the parameters of the formula, while additional data from five religious surveys using different schemes are employed to establish the reliability and applicability of the formula. Compared to the five sets of survey data on hidden Han Buddhists, the results predicted by the formula range from less than 1% to 21% lower. This range of disagreement is considered adequate and reliable, given the uncertainty inherent in estimating religious phenomena in a spiritual world. Furthermore, the comparison also reveals that the number of hidden Buddhists may be much higher than that of self-identified Buddhists.
The Entanglement between Religion and Politics
Authors: Ying Fuk-tsang
Published: December 2020

The relationship between religion and social movements is an important topic in the study of religion and society. This paper uses various textual and online sources to examine the role of Christianity in the anti-extradition bill movement that took place in Hong Kong from April to September 2019. The anti-extradition bill movement, which later evolved into a much wider movement against totalitarianism, has caused churches to grapple with church-state relations in the post-handover era. This paper employs the notion of “public religion” as an analytical framework to examine the process of the “deprivatization” of Christianity in Hong Kong. How does the ongoing contestation, both within and outside the church, reflect the challenges faced by Christianity when entering the public sphere? By answering the above questions, we will be able to explicate the religio-political significance of the protest movement in Hong Kong.
Liogenys Guérin-Méneville, 1831 (Coleoptera: Scarabaeidae: Melolonthinae) from the southern South American Transition Zone and boundaries: taxonomic overview with four new species
Authors: CHERMAN MARIANA A. , BASÍLIO DANIEL S. , MISE KLEBER M. , FRISCH JOHANNES , SMITH ANDREW B.T. , ALMEIDA LÚCIA M.
Published: December 2020

The biodiversity of Liogenys Guérin-Méneville, 1831 (Coleoptera: Scarabaeidae: Melolonthinae: Diplotaxini) from the southern South American Transition Zone and boundaries is presented. Four new species are described: L. brachyclypeata Cherman, new species; L. lucialmeidae Cherman, new species; L. martinezi Cherman, new species; and L. maxillaricuspis Cherman, new species. The synonymy of L. flaveola Moser, 1924 (= L. kadleci Frey, 1970) is proposed. Lectotypes are designated for L. flavida Moser, 1918; L. pallidicornis Blanchard, 1851 (currently L. xanthocera Harold, 1869); and L. rufoflava Moser, 1918. Redescriptions are provided for all the species mentioned above plus L. calcarata Frey, 1970 and L. kunzteni Moser, 1921, as well as an identification key and updated geographical distributions to all species in the region. All species are present in the Monte province, except of L. kuntzeni (Andean provinces of Chile). Liogenys flavida and L. rufoflava have the broadest distribution, the latter here expanded to Paraguay and Chile.
A new species of Carpenter Moths (Lepidoptera, Cossidae) from Tarbagatai (NE Kazakhstan) and Altai (SW Siberia, Russia) Mountains
Authors: YAKOVLEV ROMAN V. , SHAPOVAL NAZAR A. , IVONIN VADIM V. , KNYAZEV SVYATOSLAV A. , KUFTINA GALINA N. , MASHARSKIY ALEXEY E.
Published: December 2020

We described a new cossid species, Dyspessa ulgen sp. nov. from the Tarbagatai and Altai Mountains and compared it to other taxa of Dyspessa reported from the region (D. tristis, D. saldaitisi, D. saissanica), as well as to morphologically similar D. ulula. The new species is most closely related to D. ulula but differs from the latter in the characteristics of the male genitalia, wing pattern, and molecular data (a 658 bp fragment of the mitochondrial COI gene).
Identification of Pathological Speech Disorder Using Machine Learning
Authors: Umadevi F. M. , Moger Naresh , Nayak Aruna S. , Hiremath Namrata D. , Patil Nirmala S.
Published: December 2020

Speech is the method of generating specific sounds that convey meaning to the listener. This ability of a person could be hampered due to several reasons leading to speech disorders. A speech disorder refers to any circumstance that affects a person’s capability to create sounds
that produce words. According to a survey conducted by All India Institute of Speech and Hearing, Manasgangotri, Mysore, speech impairment is listed as the fifth-highest occurring disability in India. There are different types of speech disorders such as Stuttering, Apraxia, Dysarthria, Dysphonia,
that affect a person’s capability to form sounds that permit him/her to converse with other people. Recently computer-based detection of speech disorders has got attention from researchers and doctors as it can be used to detect speech disorders effectively. A similar approach has been
proposed in this paper to identify pathological disorders using Support Vector Machines and Gaussian Mixture Model. It can be beneficial to people in rural areas as there is a scarcity of well-trained speech pathologists. Also, equipments needed to identify speech disorders are expensive.
Hence there is a need for an automated system to assist a pathologist in detecting speech disorders. In this work, speech dataset from Saarbruecken, related to the above-mentioned diseases was collected and were classified as healthy and unhealthy. An accuracy of 96% was attained using Gaussian
Mixture Model.
Quantifying Sensitivity and Performance Degradation of Virtual Machines Using Machine Learning
Authors: Girish L. , Rao Sridhar K. N.
Published: December 2020

Virtualized data centers bring lot of benefits with respect to the reducing the high usage of physical hardware. But nowadays, as the usage of cloud infrastructures are rapidly increasing in all the fields to provide proper services on demand. In cloud data center, achieving efficient
resource sharing between virtual machine and physical machines are very important. To achieve efficient resource sharing performance degradation of virtual machine and quantifying the sensitivity of virtual machine must be modeled, predicted correctly. In this work we use machine learning
techniques like decision tree, K nearest neighbor and logistic regression to calculate the sensitivity of virtual machine. The dataset used for the experiment was collected using collected from open stack cloud environment. We execute two scenarios in this experiment to evaluate performance
of the three mentioned classifiers based on precision, recall, sensitivity and specificity. We achieved good results using decision tree classifier with precision 88.8%, recall 80% and accuracy of 97.30%.
Analysis of Differentially Expressed Genes in Prunus persica for the Treatment of Hypoxia Using Generalized Linear Models
Authors: Baid Nisha , Meghadri Preethi , Biju Vinai G. , Mathew Blessy B. , Prashanth C. M.
Published: December 2020

The gene structure of organisms gets altered when exposed to an abnormal condition which could adversely affect the growth of the target. RNA sequencing can be deployed to identify diseasecausing mutations in the genes of patients for whom genetic analysis failed to return a diagnosis.
One such disease is Hypoxia, a condition in which there is a deficiency in the availability of oxygen in the tissues. RNA sequencing helps in analyzing the global expression patterns of hypoxia and in understanding the cellular alterations of those suffering from it. It gives an understanding
of the comprehensive regulation of the gene expression by environmental spur or specific factors which can be used to diagnose and treat hypoxia before it gets fatal. Prunus persica is a plant which has a high capacity for anoxic tolerance, and analyzing the gene expression changes which are
associated to hypoxia treatments in the root tissues of two genotypes of the peach plant (Flooding tolerant and Flooding sensitive) can prevent physiological disorders. Further, gene ontology is used to cover three domains-cellular component, molecular function and biological processes related
to the differentially expressed genes. We use Generalized Linear Models here, to find the differentially expressed genes in Prunus persica when exposed to the conditions of Hypoxia (Absence of Oxygen) and Normoxia (Excess of Oxygen) and find their Ontologies and genomic pathways to understand
and diagnose the Processes that are most affected.
Video Super Resolution by Neural Network: A Theoretical Aspect
Authors: Daithankar Mrunmayee V. , Ruikar Sachin D.
Published: December 2020

The paper explores literature on the video super resolution by neural network, with all essential basics related to it. The extensive applicability and need of enhanced resolution becomes attraction for researchers. The limitations of traditional methods gives rise to the new generation
of neural network based super resolution. The neural networks are well known for parallel and fast computation of data. But embedding a neural network with challenging super resolution era has come up with benefits as well as drawbacks. Still the researchers are working on the challenges like,
limited practical feasibility and utility, accuracy at the time cost, complexity, etc. This paper is useful for new researchers to get information about the basics of super resolution and neural network, relative study of learning processes, comparative summarization of neural network architecture
used for resolution improvement.
Prediction of Severity of Non Proliferated Diabetic Retinopathy Using Machine Learning Techniques
Authors: Rayudu ManjulaSri , Pendam Srujana , Dasari Srilaxmi
Published: December 2020

All the patients of Type1 and more than 60% of Type2 Diabetes suffer from Diabetic Retinopathy (DR). Diabetic retinopathy causes damage to retina of eye and slowly leads to complete vision loss. The longer the patients are suffering from diabetes the probability of presence of DR is
more. Hence diabetic retinopathy is to be identified in early stage to avoid blindness. The objective of this research work is to predict the severity of diabetic retinopathy (Non Proliferated) using machine learning techniques. Proliferated diabetic retinopathy (later stage) is characterized
by neovasculature in the retinal veins and is the final stage. Non proliferated DR (earlier stage) is identified by any of the abnormalities out of microaneurysms, Hard exudates and hemorrhages. Then Machine learning techniques are employed to identify the class of DR. The following Classification
and regression techniques are employed for categorizing the DR: Gini Diversity Index method, Linear discriminant analysis, Ensemble method with bagged and boosted trees, K-Nearest Neighbor, and Support Vector Machine classification methods. 89 images from DRIVE database (DiaRet DB1) are classified
using the machine learning techniques cited above. It is observed the maximum accuracy is achieved as 88.8% with Linear SVM classifier.
Rice Crop Yield Prediction Using Multi-Level Machine Learning Techniques
Authors: Anoop G. L. , Nandini C.
Published: December 2020

Agriculture and allied production contributes to Indian economy and food security of India. Crop yield predictive model will help farmers and agriculture department and organization to take better decisions. In this paper we are proposingmulti-level, machine learning algorithms to predict
rice crop yield. Here, data were collected from Indian Government website for 4 districts of Karnataka, i.e., Mysore, Mandya Raichur and Koppal, these data were publically available. In our proposed method initially, we have performed data pre-processing using z-score, normalization and Standardizing
residuals on collected data, then multilevel decision tree and multilevel multiple linear regression methods are presented to predict the rice crop yield and evaluated the performance of both. The experimental results shows that the multiple linear regression is accurate than the decision
tree technique. This prediction will guide the farmer to make better decision to gain better yield and for their livelihood in particular temperature or climatic scenario.
Smart Wastage Monitoring System with Internet of Things Capability and Location Tracking
Authors: Yogish H. K. , Niranjanamurthy M. , Abhishek K. L.
Published: December 2020

Major significant challenge looked by the current reality is the developing measure of wastage (garbage) produced each day. Because of urbanization, population explosion and ill-advised methods for waste gathering, waste is being created on an enormous size. Hazardous infections, decrease
in the nature of style in the earth, air and water contamination are for the most part resultant issues of unattended wastage primarily because of carelessness in wastage assortment. Hence, there are various accessible advances which go for successful accumulation of waste. In this paper,
IoT have been utilized to handle smart wastage bins which are used to gather wastage and avoid it from spilling over. Global Positioning System (GPS), Arduino UNO microcontroller, ultrasonic sensor, ESP8266 Wi-Fi module chip and Global System for Mobile Communication (GSM) has incorporated
into a framework to employ these wastage bins.
Persistent Homology Residual Learning of Deep Convolution Neural Network for Block Match Three Dimension De-Noising Algorithm
Authors: Kamalakshi N. , Naganna H.
Published: December 2020

Deep learning for patch based denoising has done best performance but if an image is comprised of various similar patterns then the performance of these CNNs gets degraded. Persistent homology is a mathematical model based on topological analysis of data method. This paper proposes
a novel method to de-noise an image using Persistent homology residual learning for block match three dimension algorithm using a deep residual learning algorithm is used with feature space. The learning incorporated here is mainly for the performance to be improved by the input and tag manifolds
which in turn is simpler in terms of topologically for mapping to a feature space. From the experimental conducted and the obtained results its demonstrate the effectiveness of the persistent residual learning in image de-noising for block match three dimension algorithm and it is observed
that the proposed algorithm outperforms in terms of elimination of Gaussian noise in images based on performance metric and visual quality.
Social Media Disruptions in HR Practices
Authors: Pallavi B. , Vijaya Kumar G.
Published: December 2020

Talented workers are the key source of competitive advantage for today’s organizations. Talented employees and their skills define the future of a business by giving it a competitive edge over others. The Social media phenomenon has opened up new avenues to employers and employees
alike in the employment market. In the wake of such a scenario the role of social media has come to play a crucial role and paved the way for new paths in organizations HR practices.
Dynamic Computation of Threshold Value for Classifying Jobs in Cloud Computing for Efficient Resource Utilization
Authors: Dhanalakshmi B. K. , Srikantaiah K. C. , Venugopal K. R.
Published: December 2020

Cloud computing is an instant use of resources and it is a trending technology in the field of computer science. Here, many jobs will be arriving continuously with different job size, at that point of time, allocating of resources for suitable virtual machines without allowing virtual
machine to starving is a hindrance job. So, to avoid this hindrance, an algorithm Dynamic Computation of Threshold Value is proposed (DCTV) and based on the threshold value the jobs are classified in the initial stage, so this classification leads to allocation of resources precisely and efficient
resource utilization. The experimental result shows that by using dynamic computation of threshold value the allocation of resource time is reduced and classification accuracy is improved compared to manual computation of threshold value.
A Novel Route Deviation and Optimization Algorithm Using Simulation-Optimization and Energy Efficient Constraints for Minimizing Link-Loss and Loop Problems in Wireless Sensor Network
Authors: Chugh Priyanka , Rai Dinesh , Indu S.
Published: December 2020

Wireless and mobile devices and networks are an integral part of today’s life. With the advancement of technology, a large number of smart devices with advanced computational and communicational types of equipment are designed and developed. With these advancements, the availability
of services over these devices is required to be of high quality for ensuring better experiences day by day. Thus, network performance improvement with minimum path loss and optimized packet delivery without loops is a major concern to integrate the existing network infrastructure with advanced
and future networks. This work has designed a novel route deviation and optimization algorithm with simulation optimization and energy efficiency constraints. The simulation-optimization approach is considered to have minimum link losses and avoid the loop problem. Whereas, local and global
simulation optimization processes are followed to identify the best possibilities in route identification in consideration with local and network environment settings. The proposed approach is statistically found to have a minimum error rate and optimizes the performance with computational
and communicational overheads. In results, a minimum of 10 seconds and a maximum of 150 seconds are observed before a device using the proposed approach gets utilized fully. Thus, the proposed approach is very effective for link loss and loop problems in wireless sensor networks. Further,
an improvement of 135 (approx.) is observed in the proposed approach.
Q-Learning Based Optimized Link State Routing Protocol for Different Mobility Pattern
Authors: Chaba Yogesh , Chaba Mridul
Published: December 2020

Now days wireless networks have become popular as the mobile applications are increasing day by day and mobility of nodes has become an important feature. The desirable property which separates mobile network from wireless networks is the mobility of communication devices. Therefore,
there is a need to design routing mechanism in such a way that they can easily adopt to the frequent changes in the mobility pattern of the network. In this paper, Optimized Link State Routing protocol has been modified by implementing Q-Learning concept, a reinforcement learning algorithm
which guides network to select next node to which it should forward packets by first calculating the reward R and then calculation of Q-value with neighbors. Performance of this modified routing protocol has been evaluated for parameters like delay, throughput and delivery ratio. Two mobility
models have been used, Random Waypoint and Walk. It is observed that performance in terms of above parameters improve considerably in both mobility patterns when intelligent Q-Learning algorithm is implemented in Optimized Link State Routing.
Design of Internet of Things Based Smart and Efficient Water Distribution System for Urban and Agriculture Areas
Authors: Harsha Vardhini P. A. , Janardhana Raju G.
Published: December 2020

Groundwater plays an important part in India’s economy. It provides water to about 85% urban and rural proportion for household and agriculture needs. India being the 2nd largest in world population with a diverse population that is three times the size of the US but one-third
the physical size. World Bank according to, how many people are living in poverty is still extremely disproportionate to the number of middle-income people, with a combined rate of over 52 percent of rural and urban poor. One of the major drawback in the Indian water distribution systems was
found to be loss of water resource due to leakage of pipes. India experiences both floods and droughts periodically. Consequently, innovations in pipe leak detection recognition and reparation methods are being implemented. But still identifying the leaks at a early point is vital in order
to ensure minimal water wastage in distribution systems. A major component of pipe leak detection is the ability to reliably locate the place of leakage in pipes by minimal invasion. Water transport industry is increasingly concerned about leakages in water delivery pipelines. To pacify them
and thereby supporting the economy by saving the water resources with proper and sufficient utilization of the same, this paper projects the solution to overcome pipe leakage issues with IoT dependent smart water monitoring system.
A Bibliometric Study on Purchase and Technology Transfer with Reference to Industrial Equipments
Authors: Bhanushali Mahesh Manohar , Sharma Avinash
Published: December 2020

In the process of catering to the diversified needs and challenges, it is essential to develop professionally managed purchase departments for public and private sectors in India and Abroad. Technological upgradation is inherent process in development of any organization and country.
Technological upgradation in order to enhance efficiency and productivity of manufacturing unit primarily depends upon the acquisition of technologically superior equipment for right applications. In order to cultivate the culture of technology improvement and transfer, every developing country,
organization should analyze and track number of equipment purchased with the intention of technology transfer. However, there are lot of factors and obstacles in this process. The objective of this research paper is to conduct bibliometric study on purchase and technology Transfer with reference
to industrial equipments and understanding different variables affecting technology transfer. This research paper has highlighted the necessity of conducting such an analysis by countries and organizations whose objective is to technologically upgraded. The methodology used in this research
is bibliometric analysis of research publications from Scopus and google scholar indexed journals. Research reveals different factors affecting technology transfer through purchase of technical equipments. Procurement of new technology equipments requires change in the technical description
and their approvals, trained manpower and adoptability for the change. Existing purchase processes focuses on continuation of operations rather than technological upgradation.
Pedagogical Training of the Formation of the Future Officer’s Readiness for Educational Activities in the Military Department
Authors: Vali-Akhmetovich Azhimov Oleg , Arkadyevich Petrusevich Arkady
Published: December 2020

The article reflects a modern view of the problem of training future officers for educational activities in the military department. The general idea of the article is to reveal the possibilities of the educational process of the Military University, informing the readiness of cadets
as future officers for educational activities in the military staff. A significant part of the article is devoted to the analysis of the comprehension of readiness as a state of personality, which reflects the knowledge, skills, and motives of pedagogical activity. The article presents the
analysis of pedagogical research, in which the authors reveal the conditions of the educational process of the Military University of formation of the future officer’s readiness for educational activities, the structural components of readiness that can be used to diagnose the phenomenon
under consideration. A special place in the article is given to the educational project. Future Officer’s Pedagogical Training. Its task is the formation of the future officer’s readiness for educational activities in the military teams. This research material presents the content,
forms, and methods of the project. Analysis of the practice of the formation of the future officer’s readiness for educational work among military staff allowed us to conclude that the successful work of the “Future Officer’s Pedagogical Training” is based on pedagogical
support for the formation of cadets’ readiness for education. The article presents general conclusions on the results of the developed school.
Getting Yogurt Enriched with Beta-Carotene
Authors: Kiyashko N. V. , Dudenko G. A.
Published: December 2020

The possibility of replacing the milk component in unsweetened drinking yogurt with 15% homogenized carrot puree for the product to be enriched with beta-carotene is considered. This product can be used in the nutrition of athletes, workers associated with harmful working conditions,
in children’s nutrition. The work was carried out to determine the organoleptic parameters, the titrated acidity of yogurt, as well as its nutritional value.
Biodiesel Blends Startability and Emissions During Cold, Warm and Hot Conditions
Authors: Chaichan Miqdam , Gaaz Tayser Sumer , Al-Amiery Ahmed , Mohd  , Kadhum Abdul Amir
Published: December 2020

The time and emissions during cold starting were investigated at cold and hot temperatures (i. e., – 10°C, 0 °C, 25°C and 50 °C). The effect of injection timing (IT) on these factors was also studied at four ITs before top dead centre (BTDC) i. e., (12 , 15 , 20
and 23 BTDC). The results were compared with engine operation at 17 BTDC (factory IT). Sunflower vegetable oil and yellow grease were used as raw materials to prepare bio diesel fuels through transesterification. B20 (20% sunflower oil biodiesel+80% diesel) and W20 (20% yellow grease biodiesel+80%
diesel), together with neat conventional Iraqi diesel fuel, were used to analyse engine startability and emissions under cold and hot starting conditions. Results indicated that adding biofuel affects the engine starting response and that the starting time stabilises at high starting temperatures.
At a low starting temperature (i. e.,–10 °C), hydrocarbon (HC) and carbon monoxide (CO) concentrations increase significantly. At moderate and high starting temperatures, the oxygen content in the biofuel blend plays a dominant role in reducing the HC and CO concentrations. Smoke
opacity has increased notably for the biodiesel blends at low starting temperatures but has decreased significantly at moderate and high starting temperatures. Both biofuel blends emit higher levels of nitrogen oxide than the neat diesel fuel. Noise increases at low starting temperatures,
thereby indicating rough combustion.
Three Dimensional Boger Nanofluid Flow Explored with Carbon Nanotubes Over a Riga Plate
Authors: Nagalakshmi P.S.S. , Vijaya N.
Published: December 2020

An extensive diversity of industrial processes captivate the transfer of heat energy. An extensive task for industrial necessity throughout every industrial efficiency, heat and mass transfer taking place from one process stream to another. These processes provide a source for energy
recovery and process fluid heating/cooling. In the present investigation we study the Boger nanofluid flow with carbon nanotubes over a riga plate. Borger nanofluid model is used to characterize the behavior of the fluids having activation energy (E), Solvent fraction parameter (β1),
and ratio of relaxation time parameter (λ1) over a riga plate. The modeled boundary layer conservation equations are renovated to non-linear coupled ordinary differential equations by a suitable transformation. Python programming language with bvp solver was adopted to obtain numerical
solutions of the resulting equations by using the Runge–Kutta method along with shooting technique. This analysis reveals many significant physical aspects of flow and heat transfer. Estimations are achieved over thermo-physical parameter with single walled carbon nanotubes (SWCNT) and
multi walled carbon nanotubes (MWCNT).