bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effects of Prostaglandin Analogs on Intraocular Pressure in Human Eye for Open Angle Glaucoma
Authors:   Bio Mathematical lab, Centre of Computational Biology and Bioinformatics, School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, (India), Akbar Shabab , Shah* Sapna Ratan ,   Bio Mathematical lab, Centre of Computational Biology and Bioinformatics, School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, (India)
Published: February 2021

The effects of Prostaglandin Analogs on intraocular pressure and increased aqueous outflow via trabecular meshwork into the schlemm’s canal has been studied in this present research paper. Aqueous humor is an outflow, which flows at the back of the iris in the posterior chamber all the way through the pupil aperture, out into the anterior chamber, and drain from the eye via drainage slope. The eye keeps on making aqueous humor in the ciliary body and it passes through the trabecular meshwork into the scheme of the canal, the key drainage from the eye and it finally goes to the “collector channels” and due to the less amount of aqueous humor fluid flow from the drainage angle, the pressure in the eye starts to increase. For this study, the canal of Schlemm is assumed as a permeable channel. And it is connected by trabecular meshwork. The inner layer of the canal's wall has been assumed as permeable. And the aqueous humor drains into the canal through this porous tissue wall. The objective of this paper is to discuss the effect of prostaglandin analogs on intraocular pressure as the Prostaglandin Analogs work by increasing the outflow of aqueous from the eye.
Performance of Naïve Bayes in Sentiment Analysis of User Reviews Online
Authors:   student, Artificial Intelligence from CVR College of Engineering, Hyderabad, India., Quadri* Mir Habeebullah Shah , Selvakumar Dr. R. K. ,   Professor Department of Computer Science and Engineering , CVR College of Engineering, Hyderabad, Telangana , India.
Published: February 2021

Both sellers and buyers heavily depend on the opinions of customers in purchasing and selling products online. When it comes to text-based data, sentiment analysis of user reviews has become a prominent facet of machine learning. Text data is generally unstructured which makes opinion mining very challenging. A wide array of pre-processing and post-processing techniques need to be applied. But the major challenge is selecting the right classifier for the job. Naïve Bayes algorithm is a commonly used machine learning classifier when it comes to opinion mining and sentiment analysis. The focus of this survey is to observe and analyze the performance of Naïve Bayes algorithm in sentiment analysis of user reviews online. Recent research from a wide array of use-cases such as sentiment analysis of movie reviews, product reviews, book reviews, blog posts, microblogs and other sources of data have been taken into account. The results show that Naïve Bayes algorithm performs exceptionally well with accuracies between 75% to 99% across the board.
Hypervisor Vulnerabilities and Some Defense Mechanisms, in Cloud Computing Environment
Authors:   Department Computer Engineering, Marwadi Education Foundation's Group of Institutions, Rajkot, India, Zoughbi* Dina Mohsen , Dutta Dr. Nitul ,   Department Computer Engineering, Marwadi Education Foundation's Group of Institutions, Rajkot, India.
Published: February 2021

Cloud computing is the most important technology at the present time, in terms of reducing applications costs and makes them more scalable and flexible. As the cloud currency is based on building virtualization technology, so it can secure a large-scale environment with limited security capacity such as the cloud. Where, Malicious activities lead the attackers to penetrate virtualization technologies that endanger the infrastructure, and then enabling attacker access to other virtual machines which running on the same vulnerable device. The proposed work in this paper is to review and discuss the attacks and intrusions that allow a malicious virtual machine (VM) to penetrate hypervisor, especially the technologies that malicious virtual machines work on, to steal more than their allocated quota from material resources, and the use of side channels to steal data and Passing buffer barriers between virtual machines. This paper is based on the Security Study of Cloud Hypervisors and classification of vulnerabilities, security issues, and possible solutions that virtual machines are exposed to. Therefore, we aim to provide researchers, academics, and industry with a better understanding of all attacks and defense mechanisms to protect cloud security. and work on building a new security architecture in a virtual technology based on hypervisor to protect and ensure the security of the cloud.
An Anatomization of Language Detection and Translation using NLP Techniques
Authors:   Information Science, RIT, Bangalore, India., Pujeri* Bhagyashree P , Sai D Jagadeesh ,   Information Science, RIT, Bangalore, India.
Published: February 2021

The issue with identifying language relates to process of determining natural language in which specific text is written. This is one of the big difficulties in the processing of natural languages. Still, they also pose a problem in improving multiclass classification in this area. Language detection and translation a significant Language Identification task are required. The language analysis method may be carried out according to tools available in a particular language if the source language is known. A successful language detection algorithm determines the achievement of the sentiment analysis task and other identification tasks. Processing natural language and machine learning techniques involve knowledge that is annotated with its language. Algorithms for natural language processing must be updated according to language's grammar.This paper proposes a secure language detection and translation technique to solve the security in natural language processing problems. Language detection algorithm based on char n-gram based statistical detector and translation Yandex API is used.While translating, there should be encryption and decryption for that we are using AES Algorithm.
Performance Analysis of Solar Stills with Different Absorbing Materials
Authors:   Department - Mechanical Engineering, Sachdeva Institute of Technology, Mathura-281122, Uttar Pradesh, India., Kumar* Maneesh , Singh Devendra ,   Department - Mechanical Engineering, Sachdeva Institute of Technology, Mathura-281122, Uttar Pradesh, India., Sharma Ajay Kumar ,   Department - Mechanical Engineering, Institute of Engineering & Technology, Lucknow-226021, Uttar Pradesh, India.
Published: February 2021

Water is the fundamental need of humanity. The consumption of water is rising with each day. The major parts of the available water, i.e. 97%, are saline seawater and 2% is ice and glaze. Just 1% of the water is pure drinking water. Therefore in order to satisfy the demand for fresh water, it is important to turn the impurity of salty sea water or brackish water into pure water. The Solar Single Slope Single Basin (SSSB) is not being experimentally investigated. The experimentation was performed during the months of May and June 2020 under Indian climatic conditions. The efficiency of still cotton cloth with marbles and jute cloth with marbles is 50.00 per cent and 46.15 per cent respectively, higher than average.
The Culture of Wireless Access Technology Learning Communication in the Covid19 Pandemic
Authors:   University of Malaysia Terengganu, 21030 University of Malaysia Terengganu,, Musa* Azlina , Hashim Mohd Nasir ,   University of Malaya, 50603 Kuala Lumpur,
Published: February 2021

This article will discuss wireless access technologies in the online classroom learning culture during the covid19 pandemic. The purpose of this study was to examine the use of wireless technology in accessing learning and classroom teaching conducted online. In addition, this study is to examine the acceptance among students in the use of wireless access technology in the new normal learning culture during the covid19 pandemic. This study is based on the questionnaire method with 207 respondents. The results of this study show that students can not accept the use of wireless technology as a new normal in the culture of online learning in the era pandemic covid19. Findings show that students prefer learning in their campus of study compared to learning at home. Through re-documentation of the results of this study, it is hoped that it will be a source of reference in the future.
Multiple Detection and Tracking of Multi Class Vehicles using Locality Sensitive Histogram
Authors:   Research Scholar, Dept. of ECE, R V College of Engineering, Bangalore, India., Rudraiah Bhavya , K S Dr. Geetha ,   Professor, HOD, Dept. of ECE, R V College of Engineering, Bangalore, India.
Published: February 2021

Multiple object detection and tracking in a cluttered background is most important in vision-based applications. In this paper, the goal is to develop a classifier that detects and tracks multiple objects thereby ensuring robustness and accuracy. Locality Sensitive Histogram feature extraction is used, which adds contributions from all the pixels in an image. These features extracted are trained using decision tree classifier which performs with an accuracy of 97%. Experimental results demonstrate the objects tracked and detected under different scale and pose variations. Evaluation and comparison of the proposed method with various other techniques is performed using performance parameters. Results depict that the proposed technique outperforms with increased accuracy and is the top performer.
The Role of Social Networks in the Formation of Social Lifestyle Changes Caused by the Covid-19
Authors:   Political Science Faculty, International Relation Dept., Istanbul University, Istanbul, Turkey., Khangahi Fatemeh Dehghan , Kiani Farzad ,   Engineering and Architecture Faculty, Computer Engineering Dept., Istanbul Arel University, Istanbul, Turkey.
Published: February 2021

Today, the outbreak of the coronavirus has become a major global crisis and has affected many countries. One of the consequences of the spread of this virus is the creation of social panic and rapid changes in people’s lifestyles, which the social networks are noticing. The impact of social media, which plays an effective role even in people’s lifestyles, is being examined in the Covid-19 Pandemic. The purpose of this paper is to investigate the role of social networks in lifestyle changes in the coronavirus pandemic period. The present research is quantitative in terms of approach and in terms of type and nature, it is a descriptive survey. The data collection tool was assumed to be the Twitter social network. A total of 100.000 cases have been investigated based on the support vector machine (SVM) method and its results have been compared with decision tree and naive Bayes methods. Data processing is done using Python software. The trained model of SVM has a success rate on accuracy as near to 97% and also has 92% in the F1 score. The results show that social networks have about a 30% effect on lifestyle changes and stress during the pandemic periods. In order to form logical and desirable behaviors instead of dramatic behaviors such as fear and social stress in the use of social networks, social agents have their priority in organizing information and knowledge and informing the target community about the constructive and harmful cases of these networks and place different social roles and activities in society. Accordingly, providing the right news and information through trusted and responsible channels and platforms can play an important role in the proper management of society.
From Prediction of the Improvement of the Quality towards an Equitable Sharing of the Cost of the Improvement between Business Processes
Authors:   Head of Software Engineering Department, Avenue Mohamed Ben Abdellah Regragui, Rabat, Morocco., Maqboul Jaouad , Bounabat Bouchaib ,   Head of Software Engineering Department, Avenue Mohamed Ben Abdellah Regragui, Rabat, Morocco.
Published: February 2021

In this work we have developed a quality approach for the quality assessment of data related to the business process for quality projects, this approach uses the cost of the implementation of quality combined with the impact of quality broken down into the benefit and efficiency of data, shapley value helps us choose the business processes that will collaborate to reduce the cost of improvement, Deep learning helps us calculate the quality values for any dimension based on history of previous improvements. To reach our goal, we used the cost-benefit approach (ACB) and the cost-effective approach (ACE) to extract the impact and cost factors then using a multi-optimization algorithm. -objective we will minimize the cost and maximize the impact for each business process and the deep learning introduced will complement our approach to learn from the previous improvements after validation of the processes which will be chosen as well as the values calculated after improvement. The importance of this research lies in the use of impact factors and the cost of the quality evaluation which represent the basis of any improvement, our approach uses generic multi-objective optimization algorithms which will help choose the minimum value of each business process before the improvement, adding a layer of predicting and estimating the quality value of the data generated by the business process before the improvement even, while the value of shapley has aim to minimize the cost of quality projects during fission and merger of companies and even within a company composed of several services and departments to have the lowest possible total cost to help companies manage the portfolios of quality.
Dynamic Alumni Monitoring with Decision Support System
Authors:   Dean, School of Information Technology & Engineering Coordinator, Doctor in Information Technology Program St. Paul University Philippines., Capili-Kummer Dr. Marifel Grace , Batugal Maria Leodevina C. ,   Professor in the Graduate School and in the School of Techer Education, and a Quality Assurance Officer in St. Paul University Philippines.
Published: February 2021

The present study focuses on gathering a real-time data on the employability of graduates. The web-based Dynamic Alumni Monitoring with Decision Support System is developed and linked to the institution’s website to gather alumni information. To realize the objective of this study, the agile method research design process is utilized. The agile methodology is a project management technique in software development process. The system has the capacity to monitor the graduates. It provides alumni verifications and confirmation after the pre-registration. The system has a platform in maintaining alumni data and notifications to periodically update the graduates’ profiles anytime and anywhere. The system has the capacity to make updates concerning alumni activities of the University. These are sent through their registered email addresses. Likewise, the system generates important reports needed by the school and its administrators.
FEM Based Electric Potential Distribution Analysis of Porcelain Insulator using MATLAB PDE tool
Authors:   Research Scholar, Jain ( Deemed to be University), Bengaluru, Karnataka, India., Mallikarjuna B , Ravi K N ,   Prof and Head, Dept of EEE, Sapthagiri College of Engineering, Bengaluru, India., Muralidhara V ,   Professor, Dept of EEE, BNM Institute of Technology, Bengaluru, Karnataka, India., Vasudev N ,   Additional Director (Retd), CPRI, Bengaluru, Karnataka, India.
Published: February 2021

In high voltage transmission porcelain materials are important one. To mount the transmission line on a transmission tower we need an insulation material. Many literatures deal about the silicon and rubber-based insulators. In this paper the porcelain is modelled as FEM model using the PDE tool and electric potential distribution is analyzed. the PDE tool come in handy to draw the shape of the insulator. In this paper the straight shed and alternate shed insulators are analyzed with the MATLAB PDE tool and results are analyzed. then using some random water droplets in the insulator, the impact is observed.
Concentración del riesgo de cartera crediticia de los bancos: Medición, límites de deudores individuales y adecuación de capital
Authors: Márquez Diez-Canedo Javier , López Castañón Calixto
Published: February 2021

Formal work on credit concentration risk has focused mainly on applying portfolio theory to portfolios of traded fixed income assets. No comparable counterpart has emerged however, for dealing with portfolios of everyday bank loans for which information compatible with portfolio theory is difficult or too costly to obtain. Based on the default behavior of the portfolio, as represented by default probabilities of the loans and their covariance matrix, a model is developed which relates a measure of concentration of the loan portfolio with value at risk in order to guarantee capital adequacy within a specified confidence level. It is seen that the “Herfindahl-Hirshman” index emerges naturally as a measure of concentration, and that there is a direct relation between this index and the “single obligor limit”, which is explored in detail. The results show how individual limits can be set on loans, along different dimensions of concentration, so as to ensure capital adequacy for the risk structure of the portfolio. Throughout the paper, the implications for risk management and regulation are discussed
RETROSPECTIVE HOSPITAL DATA BASED STUDY ON ALLERGIC
RHINITIS CASES IN UPPER ASSAM REGION
Authors: Mili Mohan Kumar , Gupta Shilpi , Borah Shankhadhwaj , Kumar Milan , Sarmah Monikuntal , Phookan Jyotirmoy , Saikia Nabajyoti
Published: February 2021

Introduction: Allergic rhinitis (AR) is clinically dened as a symptomatic disorder of the nose induced after allergen
exposure by an IgE- mediated inammation of the nasal mucous membranes. The symptoms include rhinorrhea (anterior
or posterior), nasal congestion, nasal itching, and sneezing. In this study, we tried to determine the prevalence of Allergic Rhinitis among the
people of North Eastern part of India (Assam) retrospectively. So we did a data based cohort study in a cross sectional pattern of the patients of
visited Otorhinolaryngology Department of Assam medical college Dibrugarh, India, from July 2019 to June 2020.
Aims And Objectives: To study about the burden of Allergic rhinitis among the people of Upper Assam Region.
Methods And Materials: A study was done retrospectively based on data of the 420 patients who visited Otorhinolaryngology OPD in Assam
Medical College and Hospital, Dibrugarh from July 2019 to June 2020, with symptoms of Allergic Rhinitis. The diagnosis was made on the basis
of history and clinical examination.
Discussion: It was found that out of 420 patients, the bulk of patients came to OPD during rainy season of august, autumn months of October and
winter months of November. Besides 64% of people were of working age groups of 21-59 years who were exposed to dust , pollens, fungus ,
house dust mites during seasonal variations.
Conclusion: The burden of allergic rhinitis in upper Assam region is largely underestimated. The cause of consistent symptoms of allergic
rhinitis was noncompliance with medications, Lack of ability to comply with the advice of prevention of exposure to allergens, lack of education,
lack of denitive diagnosis in peripheral health centre.
“EVALUATION OF THE PREDICTIVE ROLE OF C REACTIVE PROTEIN IN
MATERNAL OUTCOME OF PRETERM PREMATURE RUPTURE OF
MEMBRANES (PPROM)”
Authors: Talukdar R.K. , Devi Nanthini , Das Tanma Saikia
Published: February 2021

AIMS AND OBJECTIVE: To evaluate the role of maternal C-reactive protein(CRP) as a predictor of maternal
outcomes- chorioamnionitis, Puerperal pyrexia, wound infection, PPH, URTI and UTI in preterm premature rupture of
membranes(PPROM). An institutional based prospective case control study was METHODS: conducted in Gauhati Medical College and
Hospital from 1st July 2019 to 31st June 2020.This study was conducted on total 280 antenatal women, 140 cases of PPROM (Group I) and 140
cases of normal term pregnancy (Group II) were used as a control. Cases were selected by sampling who fullled the inclusion and exclusion
criteria. The data collected in the study was analysed statistically using descriptive statistics and analysis was carried out by Fischer's exact test.
Results were tabulated and analysed statistically using SPSS version 21.0. RESULTS: A total of 280 mothers participated in this study which
yields 100% response rate. Among the study groups more complications were observed in Cases group (Group I). The most common maternal
complications were found to be puerperal pyrexia (6.40%) followed by wound infection (5.00%) in cases group where as in control groups
puerperal pyrexia was seen in 3.60% of mothers and wound infection in 2.10% mothers of control group (Group II). Chorioamnionitis was seen
only in cases group (Group I) among 4 patients (2.9%) and all of these had CRP>20mg/L. There was no maternal mortality recorded. CRP has
sensitivity 100% (95% CI, 85.18% to 100.00%) and specicity 65.81% (95% CI, 56.47% to 74.33%) and PPV 36.51% (95% CI, 30.90% to
42.51%) and NPV 100%. Thus we can utilize CRP as a predictive tool for maternal complications in PPROM mothers. CONCLUSIONS AND
RECOMMENDATION: Antenatal diagnosis of preterm PROM by identifying risk factors is an important tool in the management of PPROM.
CRP is early and reliable indicator of maternal complications with high sensitivity and high negative predictive value. Maternal serum CRP at
admission is the most accurate infectious marker for predicting the maternal outcome that is currently in routine use. It may serve as a noninvasive screening tool to distinguish between women with PPROM who are at high or at low risk for adverse maternal outcome.`
Capacity Analysis of IRS-Based UAV Communications with Imperfect Phase Compensation
Authors: Al-Jarrah MOHAMMAD AHMAD , Alsusa Emad , Al-Dweik Arafat , So Daniel K. C.
Published: February 2021

This paper presents the capacity analysis of unmanned aerial vehicles (UAVs) communications supported by flying intelligent reflecting surfaces (IRSs). In the considered system, some of the UAVs are equipped with an IRS panel that applies certain phase-shifts to the incident waves before being reflected to the receiving UAV. In contrast to existing work, this letter considers the effect of imperfect phase knowledge on the system capacity, where the phase error is modeled as a von Mises random variable with parameter k. Analytical results, corroborated by Monte Carlo simulations, show that the achievable capacity is dependent on the phase error, however, the capacity loss becomes negligible at high signal-to-noise ratio (SNR) and when k>6.
The Presence of Absence. Longing and Nostalgia in Post-Soviet Art and Literature
Authors: Marchesini Irina
Published: February 2021

This article explores the phenomenon of nostalgia for the Soviet era found in contemporary Russian society and manifested both in contemporary art, such as in the installations of Il'ja Kabakov, Sergej Volkov, and Jevgenij Fiks, and in modern literature, especially in the prose of Andrej Astvacaturov. Such regret for a bygone past primarily mourns not the apparatus of the Soviet state, but the routine and the quality of familiar daily life. Insights from the fields of visual studies and trauma studies undergird this exploration of the relationship between a work of art's visual composition and its representation of toska, memory, and material culture in the Soviet era. By juxtaposing artwork with literary prose, we reveal the significant role had by 'reflective' toska-nostalgia (as defined by Svetlana Boym, 2001) in the formation of post-Soviet identity.
Dupilumab: new opportunities for the treatment of asthma and chronic rhinosinusitis with nasal polyps
Authors: Dyneva Miramgul E. , Aminova Gulyumkhan E. , Kurbacheva Oksana , Il'ina Natalya I.
Published: February 2021

Airway inflammation plays a crucial role in the development of asthma and chronic rhinosinusitis with nasal polyps (CRSwNP). The severity of inflammation influences the clinical picture of the disease and, most importantly, the effectiveness of therapy. To date, the growth in the incidence rate of asthma and CRSwNP is still high and the effectiveness of existing therapy for severe asthma, especially associated with CRSwNP, is unsatisfactory. Therefore, the aim is to investigate novel diagnostic tools and therapies. The emergence of biologics that target specific inflammatory pathways is a promising step forward to achieve control of severe uncontrolled asthma and recurrent CRSwNP. Dupilumab is one of recently introduced monoclonal antibodies, which has shown significant advances in the treatment of asthma and CRSwNP. Dupilumab is a fully human monoclonal antibody targeted to interleukin-4 receptor alpha subunit (IL-4R) that is a receptor for both IL-4 and IL-13. Thus, it helps to inhibit cytokine T2-signaling (IL-4 and IL-13), since the IL-4/IL-13/STAT6 signaling pathway plays a crucial role in T2-inflammation. In Russia, dupilumab is currently approved as a treatment for atopic dermatitis (in children over 6 years of age), asthma (in children over 12 years of age) and severe CRSwNP in adults. This article summarizes the main data on dupilumab and its efficacy in patients with asthma and CRSwNP and presents a relevant case report.
The effect of pozzolanic mineral additives on the strength and durability properties of structural lightweight concrete
Authors: Yener Engin
Published: February 2021

Structural lightweight concretes have the potential to be used in road pavements and bridge decks due to their properties such as sufficient wear resistance, high impermeability, superior freeze-thaw resistance and ductile behavior. However, road pavements are directly exposed to nitric acid and sulfuric acid solutions created by the exhaust gases of transportation vehicles in humid environments. Therefore, the concrete to be used in road pavements must be resistant to these acid effects. In addition, sufficient strength must be guaranteed when used as pavement material. The aim of this study is to produce lightweight concrete suitable for road pavements and other structures exposed to acid effects. For this, the effect of silica fume (SF) and fly ash (FA) on acid resistance and strength development of lightweight concrete with perlite aggregates was investigated. Five different lightweight concrete mixtures were produced by substituting 0%, 5%SF, 10% SF, 10%FA, 20% FA instead of cement by weight. Natural perlite rock has been used as an aggregate source in order to provide high strength and lightness. The cylindrical samples produced were kept in lime saturated water cure for 120 days and their compressive strength was measured on the 28th, 56th, 90th and 120th days. In addition, in order to monitor the acid resistance, the strength changes of the samples exposed to 5% sulfuric acid and 5% nitric acid solution after 28 days of standard curing were followed until the 120th day. Results show that, SF and FA additives increase the compressive strength especially at older ages. In case of 10% SF, the 120-day strength value increased by 18.6% and reached 34.5 MPa. Also, lightweight perlite concrete is highly resistant to nitric acid and sulfuric acid effects. In the case of 92 days of nitric acid and sulfuric acid exposure, the strength losses are only 5.2% and 13.4%, respectively. In order to fully benefit from SF and FA, concretes must be adequately cured before acid attack. It has been concluded that it is possible to produce high-strength and acid-resistant lightweight concretes suitable for road pavements and many other structural elements by using natural perlite aggregate.
Upotreba analize sentimenta u kontekstu percepcije brenda biblioteke
Authors: Khattab Džejla
Published: February 2021

Tehnološki napredak i promjene koje je društvo posljedično doživjelo, na biblioteke djeluju revolucionarno. Ipak, percepcija biblioteka ostaje duboko ukorijenjena u prošlosti bez obzira na snažan društveni, kognitivni i emocionalni razvoj pojedinca u okruženju koje je determinirano razvojem tehnologije. Unatoč predodžbi o dinamičnoj povezanosti savremenih konzumenata informacija i tehnologije te pretpostavci o njihovim iznimnim vještinama, prvenstveno u korištenju, a zatim automatizmom, i u procesu pronalaženja izvora informacija, njihova percepcija biblioteka kao “skladišta knjiga” ostaje tradicionalna, ne reflektirajući značajne promjene u iskustvu korištenja ažuriranih službi i usluga biblioteka. Unatoč uspješnoj prilagodbi biblioteka rastućim izazovima kompleksnog informacijskog okruženja, u literaturi se upozorava na nepostojanje konsenzusa oko poruke koju biblioteke šalju društvu u cjelini i koja objedinjuje kompleksnost i vrijednost njene uloge unutar zajednice. Brendiranje je jedan od marketinških koncepata koji determiniraju uspjeh bibliotečkog marketinga. Percepcija brenda (brand image), kao pokazatelj korisničke percepcije biblioteke, te identitet brenda (brand identity), kao način na koji biblioteka želi da bude percipirana, ključne su komponente brenda organizacije. S obzirom na dostupnost korisnički generiranog sadržaja u kojem se izražavaju emocije, zatim recentni napredak u automatskoj kategorizaciji mišljenja korisnika koji generiraju sadržaj na webu te dostupnost besplatnih alata za analizu sentimenta, ovaj rad ima za cilj eksperimentalno primijeniti analizu sentimenta u kontekstu razumijevanja brenda biblioteka. Analiza sentimenta bavi se automatskom ekstrakcijom pozitivnih, odnosno negativnih mišljenja iz teksta (Pang i Lee, 2008) i postaje popularno područje primjene obrade prirodnog jezika s ciljem uvida u stavove i mišljenja potrošača. Ovaj rad ima za cilj ispitati kako se analiza sentimenta može iskoristiti za prikupljanje informacija o načinu na koji su biblioteke percipirane u savremenoj kulturi. Namjerava se utvrditi da li se odabrani alati za analizu sentimenta Social Mention i sentiment viz mogu iskoristiti kao instrument za razumijevanje brenda biblioteke. Stoga će mogućnosti upotrebe alata biti istražene kroz odabrane primjere biblioteka za koje postoje dokazi brendiranja, ali će uključiti i riječi / fraze koje se odnose na biblioteke s ciljem identificiranja asocijacija koje se pojavljuju u vezi s globalnim brendom biblioteka. Istraživanje će demonstrirati da se biblioteke suočavaju s naslijeđenom percepcijom brenda, nedostatkom koherentne vizije identiteta te nemogućnošću definiranja i komuniciranja novog identiteta brenda za biblioteke digitalnog doba.
Standardizacija za informacijsku i bibliotečku djelatnost u BiH
Authors: Lemeš Samir
Published: February 2021

Ovaj rad daje osvrt na stanje standardizacije u oblasti informacijske i bibliotečke djelatnosti u Bosni i Hercegovini, kroz rad dva tehnička komiteta Instituta za standardizaciju BiH. Informatizacija društva, kakva je opisana u strateškim dokumentima iz prethodne decenije, realizirana je ne zahvaljujući, nego uprkos podršci države. Složena politička i teška socijalna situacija u BiH nisu bile prepreka da po broju korisnika interneta budemo iznad svjetskog prosjeka. Na primjeru akademskih i istraživačkih mreža pokazano je da ipak zaostajemo u brzinama pristupa internetu, koje su među najnižim u regiji. IT industrija, kao perspektivna privredna grana, sama čini napore i vrši pritisak na državu da se učini više na razvoju ove djelatnosti, prvenstveno u sektoru obrazovanja. Na kraju rada dat je kritički osvrt na pojam Big Data i njegovu primjenu u naučnim podacima, koji čine usko specijalizirani dio bibliotečke djelatnosti, te ulogu standardizacije u toj oblasti.
Bibliografska organizacija neomeđene građe: Model entitet–odnos ili objektno orijentirani model?
Authors: Petrić Tatijana
Published: February 2021

Autorica članka u radovima iz 2014. i 2016. prikazala je model bibliografske organizacije neomeđene građe prema IFLA-inim modelima FRBR, FRAD i FRSAD te prema Međunarodnim kataložnim načelima iz 2009. godine.

U vremenskom rasponu od nekoliko godina pojavljuje se nadopunjeno izdanje Međunarodnih kataložnih načela 2016., kao i novi IFLA-ini konceptualni modeli: PRESSoo za neomeđenu građu (2017.) i IFLA LRM model (2017.) za knjižničnu zajednicu.

Metodom analize i usporedbe članaka teoretičara informacijskih znanosti E. Jones, P. Riva i P. Le Boeuf, istraživanja autorice i novih konceptualnih modela, autorica će u novom kontekstu sagledati klasifikaciju i položaj neomeđene građe u bibliografskom univerzumu. Rezultati istraživanja ukazat će na trenutačnu poziciju neomeđene građe u bibliografskom univerzumu, kao i stvaranje prihvatljivih rješenja u bibliografskoj organizaciji neomeđene građe.
Metapodaci i sheme metapodataka za objekte učenja
Authors: Mešić Alma
Published: February 2021

Razvoj informacijsko-komunikacijske tehnologije (IKT) i njena raznolika primjena uvjetovala je promjene i u obrazovnom procesu. Sve je učestalija pojava sistema za učenje na daljinu s ciljem da se tradicionalni način realiziranja nastave dopuni elektronskim učenjem. No da bi se obrazovni proces odvijao u virtualnom okruženju, neophodno je adekvatno organizirati i prezentirati znanje. Osnovni nositelji znanja u elektronskom učenju jesu objekti učenja. Kroz predstavljanje (IEEE) LOM sheme metapodataka, rad nastoji da pokaže prednosti i nedostatke shema, ukaže na postojanje derivata shema metapodataka i aplikacijskih profila te naglasi važnost i ulogu bibliotečke profesije u obrazovanju 21. stoljeća.
Želimo li kvalitet ili kvantitet usluga bibliotečko-informacionog sistema Univerziteta u Sarajevu u okviru sadržajne obrade?
Authors: Kešan Tolomanoski Emina
Published: February 2021

Rad predstavlja jedan osvrt šta to zapravo podrazumijeva obrazovanje i da li okvir obrazovanja ovakvog kakvo jeste doprinosi pojedincu ili sistemu. Koliko smo to taoci vladajućeg ekonomsko-političkog sistema u kojem obrazovanje podliježe modelu poduzetništva gdje je profit jedini cilj. Sistem neizmjerno voli riječ ‘kvantitet’ te upravo kroz taj aspekt ‘kvantiteta’ rad posmatra ulogu visokoškolskog informacijskog stručnjaka danas. U radu se predstavlja i ukazuje na neizmjernu važnost sadržajne obrade dokumenta kao jednog od vodećih primjera da li mi doprinosimo kvalitetu ili kvantitetu. Sadržajna obrada dokumenta direktno utiče na bibliotečko-informacione usluge koje pokazuju uspješnost rada bibliotečko-informacionog centra. Naravno da vrednovanje rada bibliotečko-informacionog centra podrazumijeva mnoge segmente, ali šta znači broj korisnika, broj svezaka u fondu i broj pruženih informacija. U današnjem vremenu ICT-e koje je iznjedrilo raznovrsne izvore informacija prilično je jasno da su nositelji znanja tu da bi se koristili, a ne skladištili. Tako da rad upućuje na koji način sadržajna obrada dokumenta utiče na korištenje bibliotečkih kolekcija, a ne njihovo skladištenje i isključivo kvantitativno prezentiranje.
DESAIN PENGUATAN KUALITAS POLITIK DINASTI DALAM PEMILIHAN KEPALA DAERAH
Authors: Siboy Ahmad
Published: February 2021

The purpose of this reseach is to describe the factors and implications of the proliferation of political dynasties and to find designs to create dynastic politics that do not conflict with the spirit of local democracy in Indonesia. The problem of this research is the factors and implications that make politics flourish in simultaneous Pilkada and the ideal dynastic political design. The research method used is normative juridical through the concept of an approach, legislation, case approach and historical approach. The results showed that dynastic politics mushroomed because the regional head as the ruler was unable to run again, the ruler at the national level wanted to use his power to place family members as rulers at the regional level. As a result, many candidates for regional heads are nominated without the competence and willingness to become regional heads. The ideal dynastic political design can be achieved with the requirements to be declared valid as a candidate for regional head as well as regulations that prevent unqualified regional head candidates from fulfilling formal or legal requirements as regional head candidates.
Memahami Persepsi dan Perilaku Pengguna Aplikasi E-Commerce Pariwisata Dikalangan Generasi Milenial
Authors: Fuady Ikhsan , Arifin Hadi Suprapto , Masrina Dwi
Published: February 2021

Kontribusi Pendapatan Daerah dari  indutri pariwisata sangat besar. Perkembangan teknologi dalam platform aplikasi industri pariwisata diharapkan mampu membangkitkan indutri pariwisata kedepan. Mahasiswa merupakan segmentasi konsumen yang potensial dalam industry pariwisata. Penelitian ini bertujuan menganalisis bagaimana persepsi dan perilaku mahasiswa terhadap aplikasi ecommerce pariwisata di Indonesia. Penelitian ini didesain sebagai penelitian kuantitatif dengan pendekatan survey. Penelitian ini dilakukan pada Maret 2020 - Mei 2020. Populasi penelitian ini adalah seluruh mahasiswa Aktif Unpad  dengan jumal sampel 61 responden. Teknik sampling dengan menggunakan convenience sampling. Hasil penelitian menunjukan Secara umum persepsi mahasiswa terhadap aplikasi ecommerce pariwisata terkategori sangat tinggi. Sebanyak 80,4 responden beranggapan bahwa aplikasi sangat membantu dan mempermudah dalam pencarian hotel, penerbangan juga pilihan wisata yang dituju. Sebanyak 85,2 persen responden memiliki persepsi aplikasi ecommerce relatif mudah dan sederhana dalam penggunaanya.Perilaku penggunaan aplikasi dalam melakukan kunjungan wisata, sebanyak 32 persen responden mengunakan lebih dari tiga setahun, 21,3 persen menggunakan 2 sampai tiga kali setahun. Untuk aplikasi yang digunakan, sebagian besar menggunakan aplikasi traveloka.
Pengungkapan Informasi Keuangan Secara Sukarela di Internet oleh Perusahaan Besar di Indonesia
Authors: Ernawati Ernawati , Fayiatha Hasya
Published: February 2021

The purpose of this study is to examine the impact of characteristics as a potential factor that might influence each financial disclosure on the internet voluntarily by large companies in Indonesia. The characteristic in this study are the company size, leverage, profitability, company age, dispersion ownership, industrial sector, and auditor type. The sample chosen uses a purposive sampling method to collect as many as 414 large companies listed on the Indonesia Stock Exchange in 2013 to 2017. Using binary logistic regression to determine the effect of independent variables on the dependent variables and processed using the program of SPSS version 21.

The results of data analysis and conclusions indicate that the size of the company has a significantly positive effect on Internet Financial Reporting. Variables of company age, industry sector, and auditor type indicate a significantly negative influence. Wheares, for the variables of leverage, profitability, and dispersion of ownership there are no significant findings on Internet Financial Reporting.
Analisis Pengaruh Kepemilikan Institusional, Koneksi Politik, Ukuran Perusahaan, ROE, dan Leverage terhadap Sinkronisitas Harga Saham
Authors: Mardianto Mardianto , Juniyanti Juniyanti
Published: February 2021

This scientific work is written to examine the effect of the independent variable towards the synchronicity of stock prices variable. The independent variables referred to in the scientific work are political connections, institutional ownership, ROE, company size, leverage, skewness and kurtosis. Author will elaborate the results of the variables in this research.

The LQ45 company which is well known for its financial condition, growth prospects, and high transaction value has been chosen as sample used for this study. The sampling period ranged from 2014 to 2018, which is 5 (five) years. The financial statements and annual reports of the LQ45 company are downloaded through the site https://www.idx.co.id/. Whereas the company's information regarding weekly return needed for data processing of share price synchronicity is obtained through the website https://finance.yahoo.com/. The research data obtained are then processed using Eviews application version 10 and SPSS version 22.

Results indicate that the institutional ownership variable has significant negative effect on the synchronicity of stock price. While compant size and kurtosis variables has significant positive effect on the synchronicity of stock prices. Other variables, namely political connections, Return On Equity (ROE), leverage and skewness do not have a significant relationship to the variable synchrony of stock prices.
PENGEMBANGAN SISTEM INFORMASI JASA PENUKARAN VALAS
Authors: Perbangsa Anzaludin Samsinga , Reyner Aloysius , Nugroho Joshua Christian , J Junne
Published: February 2021

The role of money changers is very important in meeting the needs of foreign exchange for the community. This role can also be fulfilled by banks and other financial institutions. People who want to order foreign currencies at this time still have to go through traditional procedures, where the buyer is required to come directly to the place of foreign exchange. This study intends to build a system design that can make currency orders and provide information on foreign exchange rates contained in each money changer through a web-based application. This research uses the Object Oriented Analysis and Design (OOAD) method, literature study, and data collection methods using a questionnaire. Based on the problems outlined and the results of the study, this system can be a source of information on foreign exchange rates and also an alternative order for foreign exchange. Foreign exchange orders can be made online through this information system. This system will continue to be developed with various features such as payment methods using biometric security methods with the support of Artificial Intelligence (AI) technology. So users can search for foreign currency values and order them easily through online media.
ANALISA DAN EVALUASI UNTUK PENGEMBANGAN FITUR APLIKASI XYZ (SEBUAH PENDEKATAN STUDI KASUS)
Authors: Sudiana Sudiana , Nugroho Alwin Ponco , Ridho Muhammad Alif , Prawira Timotius Christian
Published: February 2021

The purpose of this paper is analyze and evaluate the features of an XYZ application at PT. XYZ and develop features make easier for customers in invoicing, accounting, and inventory. Evaluation uses direct interview techniques to users and analysis using the Unified Modeling Language (UML) Diagram to visualize, design, and document features in the XYZ application. The results of this paper are develop features such as User Access Rights, Reminder via Email, Multi Location, Import & Export Data, and Advance Invoice Settings, which development provides more customer service to make it easier and more efficient when using applications XYZ.
PERANCANGAN DAN IMPLEMENTASI GAME SIMULASI UNTUK MENGETAHUI NEUROTISME BERDASARKAN INTERNATIONAL PERSONALITY ITEM POOL
Authors: Satria Thomas Galih , Panggabean Francisco Maruli , Sudarma Hantze
Published: February 2021

The game or game is an interactive activity that can quickly provide feedback between players and the system. Players can learn through discovery, practice, and feedback rather than absorb information so that it is easier to transfer the knowledge they gain from playing experience to the real world of work. The International Personality Item Pool - Neuroticism, Extraversion & Openness (IPIP-NEO) is a personality test based on the Big Five Personality theory in which the test takes the form of a questionnaire. The purpose of this research is to design an alternative media in using IPIP-NEO especially the neuroticism part in a simulation game. The problem raised was that IPIP-NEO's personality test was a questionnaire that did not provide a situation description of the questions asked to respondents. Based on existing problems, data collection in the form of literature studies, questionnaires, and interviews with experts, can be made the need for making games. The game results are then evaluated using a questionnaire aimed at samples from Non Probability Purposive Sampling. Based on the evaluation results from the questionnaire, NeuroTest gets 76% of users who feel that the results of the game provide the right depiction for themselves.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN “BEST AGENT” DENGAN METODE PROFILE MATCHING (GAP)
Authors: Maulana Brian Arif , Budiyantara Agus
Published: February 2021

The problem of selecting the "Best Agent" is still done manually, by giving a value to the form that contains the assessment criteria and the sum of the values of each criterion that is averaged so that the final result is obtained. The purpose of this study is to discuss and build systems and models for making decisions to determine the "Best Agent" using the Profile Matching method. Application Decision Support System Selection "Best Agent" Profile Matching method an application designed to provide accurate decisions based on current data and can be accounted for, this is expected to improve the quality of staff and the expectations it builds to improve the quality of Human Resources.
PRE-ELIMINARY STUDY OF IKAN (FISH ONLINE INVESTMENT) PROTOPY BASED ON WEB APPLICATION USING AGILE SCRUM
Authors: Sari Wina Permana , Sidharta Hanugra Aulia
Published: February 2021

Ministry of Health (DepKes) of the Republic of Indonesia, the main problem which is an obstacle for fishermen in a small business in the field of fisheries as a matter of capital. Capital problems that can be reported according to: difficulty in accessing, capital requirements for convoluted capital, to the public ignorance of the relevant institutions. Diverting, taking a few people who then use independent capital, or make loans through informal financial institutions. The problems encountered by the fishermen make them confused and difficult to find when they need the micro business. However, this certainly can be overcome, considering how technology has developed rapidly now. In terms of technological developments, we have now switched to the era of the industrial revolution 4.0, while information and information technology has been highly developed. Seeing the facts that exist in society, technology can be used to facilitate humans in carrying out daily activities. Therefore, in view of the facts above, the writer wants to make a fisheries investment application for investors to invest the capital they need for micro-fisheries businesses and vice versa. The purpose of this research is to create a mobile and web-based Fisheries Investment application (using bootstrap) which the writer will name "Fish" taken from a fisheries investment developed using stages appropriate to the Agile Scrum method based on knowledge within in the field of Software Engineering and is equipped with basic planning models for formation systems, such as: Business Model Canvas (BMC), Use Cases, Activity Diagrams, and Mock-Ups. The results of this study can be used to help organize the distribution of prototype development scenarios to completion with a time schedule.