bluuebunny/crossref_metadata_2025 huggingface dataset:
Tracking Anonymized Bluetooth Devices
Authors: Becker Johannes K , Li David , Starobinski David
Published: July 2019

Bluetooth Low Energy (BLE) devices use public (non-encrypted) advertising channels to announce their presence to other devices. To prevent tracking on these public channels, devices may use a periodically changing, randomized address instead of their permanent Media Access Control (MAC) address. In this work we show that many state-of-the-art devices which are implementing such anonymization measures are vulnerable to passive tracking that extends well beyond their address randomization cycles. We show that it is possible to extract identifying tokens from the pay-load of advertising messages for tracking purposes. We present an address-carryover algorithm which exploits the asynchronous nature of payload and address changes to achieve tracking beyond the address randomization of a device. We furthermore identify an identity-exposing attack via a device accessory that allows permanent, non-continuous tracking, as well as an iOS side-channel which allows insights into user activity. Finally, we provide countermeasures against the presented algorithm and other privacy flaws in BLE advertising.
MAPS: Scaling Privacy Compliance Analysis to a Million Apps
Authors: Zimmeck Sebastian , Story Peter , Smullen Daniel , Ravichander Abhilasha , Wang Ziqi , Reidenberg Joel , Cameron Russell N. , Sadeh Norman
Published: July 2019

The app economy is largely reliant on data collection as its primary revenue model. To comply with legal requirements, app developers are often obligated to notify users of their privacy practices in privacy policies. However, prior research has suggested that many developers are not accurately disclosing their apps’ privacy practices. Evaluating discrepancies between apps’ code and privacy policies enables the identification of potential compliance issues. In this study, we introduce the Mobile App Privacy System (MAPS) for conducting an extensive privacy census of Android apps. We designed a pipeline for retrieving and analyzing large app populations based on code analysis and machine learning techniques. In its first application, we conduct a privacy evaluation for a set of 1,035,853 Android apps from the Google Play Store. We find broad evidence of potential non-compliance. Many apps do not have a privacy policy to begin with. Policies that do exist are often silent on the practices performed by apps. For example, 12.1% of apps have at least one location-related potential compliance issue. We hope that our extensive analysis will motivate app stores, government regulators, and app developers to more effectively review apps for potential compliance issues.
Keeping the Smart Home Private with Smart(er) IoT Traffic Shaping
Authors: Apthorpe Noah , Huang Danny Yuxing , Reisman Dillon , Narayanan Arvind , Feamster Nick
Published: July 2019

The proliferation of smart home Internet of things (IoT) devices presents unprecedented challenges for preserving privacy within the home. In this paper, we demonstrate that a passive network observer (e.g., an Internet service provider) can infer private in-home activities by analyzing Internet traffic from commercially available smart home devices even when the devices use end-to-end transport-layer encryption. We evaluate common approaches for defending against these types of traffic analysis attacks, including firewalls, virtual private networks, and independent link padding, and find that none sufficiently conceal user activities with reasonable data overhead. We develop a new defense, “stochastic traffic padding” (STP), that makes it difficult for a passive network adversary to reliably distinguish genuine user activities from generated traffic patterns designed to look like user interactions. Our analysis provides a theoretical bound on an adversary’s ability to accurately detect genuine user activities as a function of the amount of additional cover traffic generated by the defense technique.
Mesh: A Supply Chain Solution with Locally Private Blockchain Transactions
Authors: AlTawy Riham , Gong Guang
Published: July 2019

A major line of research on blockchains is geared towards enhancing the privacy of transactions through anonymity using generic non-interactive proofs. However, there is a good cluster of application scenarios where complete anonymity is not desirable and accountability is in fact required. In this work, we utilize non-interactive proofs of knowledge of elliptic curve discrete logarithms to present membership and verifiable encryption proof, which offers plausible anonymity when combined with the regular signing process of the blockchain transactions. The proof system requires no trusted setup, both its communication and computation complexities are linear in the number of set members, and its security relies on the discrete logarithm assumption. As a use-case for this scenario, we present Mesh which is a blockchain-based framework for supply chain management using RFIDs. Finally, the confidentiality of the transacted information is realized using a lightweight key chaining mechanism implemented on RFIDs. We formally define and prove the main security features of the protocol, and report on experiments for evaluating the performance of the modified transactions for this system.
Encrypted Databases for Differential Privacy
Authors: Agarwal Archita , Herlihy Maurice , Kamara Seny , Moataz Tarik
Published: July 2019

The problem of privatizing statistical databases is a well-studied topic that has culminated with the notion of differential privacy. The complementary problem of securing these differentially private databases, however, has—as far as we know—not been considered in the past. While the security of private databases is in theory orthogonal to the problem of private statistical analysis (e.g., in the central model of differential privacy the curator is trusted) the recent real-world deployments of differentially-private systems suggest that it will become a problem of increasing importance. In this work, we consider the problem of designing encrypted databases (EDB) that support differentially-private statistical queries. More precisely, these EDBs should support a set of encrypted operations with which a curator can securely query and manage its data, and a set of private operations with which an analyst can privately analyze the data. Using such an EDB, a curator can securely outsource its database to an untrusted server (e.g., on-premise or in the cloud) while still allowing an analyst to privately query it. We show how to design an EDB that supports private histogram queries. As a building block, we introduce a differentially-private encrypted counter based on the binary mechanism of Chan et al. (ICALP, 2010). We then carefully combine multiple instances of this counter with a standard encrypted database scheme to support differentially-private histogram queries.
p1-FP: Extraction, Classification, and Prediction of Website Fingerprints with Deep Learning
Authors: Oh Se Eun , Sunkam Saikrishna , Hopper Nicholas
Published: July 2019

Recent advances in Deep Neural Network (DNN) architectures have received a great deal of attention due to their ability to outperform state-of-the-art machine learning techniques across a wide range of application, as well as automating the feature engineering process. In this paper, we broadly study the applicability of deep learning to website fingerprinting. First, we show that unsupervised DNNs can generate lowdimensional informative features that improve the performance of state-of-the-art website fingerprinting attacks. Second, when used as classifiers, we show that they can exceed performance of existing attacks across a range of application scenarios, including fingerprinting Tor website traces, fingerprinting search engine queries over Tor, defeating fingerprinting defenses, and fingerprinting TLS-encrypted websites. Finally, we investigate which site-level features of a website influence its fingerprintability by DNNs.
Snapdoc: Authenticated snapshots with history privacy in peer-to-peer collaborative editing
Authors: Kollmann Stephan A. , Kleppmann Martin , Beresford Alastair R.
Published: July 2019

Document collaboration applications, such as Google Docs or Microsoft Office Online, need to ensure that all collaborators have a consistent view of the shared document, and usually achieve this by relying on a trusted server. Other existing approaches that do not rely on a trusted third party assume that all collaborating devices are trusted. In particular, when inviting a new collaborator to a group, one needs to choose between a) keeping past edits private and sending only the latest state (a snapshot) of the document; or b) allowing the new collaborator to verify her view of the document is consistent with other honest devices by sending the full history of (signed) edits. We present a new protocol which allows an authenticated snapshot to be sent to new collaborators while both hiding the past editing history, and allowing them to verify consistency. We evaluate the costs of the protocol by emulating the editing history of 270 Wikipedia pages; 99% of insert operations were processed within 11.0 ms; 64.9 ms for delete operations. An additional benefit of authenticated snapshots is a median 84% reduction in the amount of data sent to a new collaborator compared to a basic protocol that transfers a full edit history.
Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing
Authors: Liu Changchang , He Xi , Chanyaswad Thee , Wang Shiqiang , Mittal Prateek
Published: July 2019

Over the last decade, differential privacy (DP) has emerged as the gold standard of a rigorous and provable privacy framework. However, there are very few practical guidelines on how to apply differential privacy in practice, and a key challenge is how to set an appropriate value for the privacy parameter ɛ. In this work, we employ a statistical tool called hypothesis testing for discovering useful and interpretable guidelines for the state-of-the-art privacy-preserving frameworks. We formalize and implement hypothesis testing in terms of an adversary’s capability to infer mutually exclusive sensitive information about the input data (such as whether an individual has participated or not) from the output of the privacy-preserving mechanism. We quantify the success of the hypothesis testing using the precision- recall-relation, which provides an interpretable and natural guideline for practitioners and researchers on selecting ɛ. Our key results include a quantitative analysis of how hypothesis testing can guide the choice of the privacy parameter ɛ in an interpretable manner for a differentially private mechanism and its variants. Importantly, our findings show that an adversary’s auxiliary information - in the form of prior distribution of the database and correlation across records and time - indeed influences the proper choice of ɛ. Finally, we also show how the perspective of hypothesis testing can provide useful insights on the relationships among a broad range of privacy frameworks including differential privacy, Pufferfish privacy, Blowfish privacy, dependent differential privacy, inferential privacy, membership privacy and mutual-information based differential privacy.
A QUIC Look at Web Tracking
Authors: Sy Erik , Burkert Christian , Federrath Hannes , Fischer Mathias
Published: July 2019

QUIC has been developed by Google to improve the transport performance of HTTPS traffic. It currently accounts for approx. 7% of the global Internet traffic. In this work, we investigate the feasibility of user tracking via QUIC from the perspective of an online service. Our analysis reveals that the protocol design contains violations of privacy best practices through which a tracker can passively and uniquely identify clients across several connections. This tracking mechanisms can achieve reduced delays and bandwidth requirements compared to conventional browser fingerprinting or HTTP cookies. This allows them to be applied in resource- or time-constrained scenarios such as real-time biddings in online advertising. To validate this finding, we investigated browsers which enable QUIC by default, e.g., Google Chrome. Our results suggest that the analyzed browsers do not provide protective measures against tracking via QUIC. However, the introduced mechanisms reset during a browser restart, which clears the cached connection data and thus limits achievable tracking periods. To mitigate the identified privacy issues, we propose changes to QUIC’s protocol design, the operation of QUIC-enabled web servers, and browser implementations.
Investigating People’s Privacy Risk Perception
Authors: Gerber Nina , Reinheimer Benjamin , Volkamer Melanie
Published: July 2019

Although media reports often warn about risks associated with using privacy-threatening technologies, most lay users lack awareness of particular adverse consequences that could result from this usage. Since this might lead them to underestimate the risks of data collection, we investigate how lay users perceive different abstract and specific privacy risks. To this end, we conducted a survey with 942 participants in which we asked them to rate nine different privacy risk scenarios in terms of probability and severity. The survey included abstract risk scenarios as well as specific risk scenarios, which describe specifically how collected data can be abused, e.g., to stalk someone or to plan burglaries. To gain broad insights into people’s risk perception, we considered three use cases: Online Social Networks (OSN), smart home, and smart health devices. Our results suggest that abstract and specific risk scenarios are perceived differently, with abstract risk scenarios being evaluated as likely, but only moderately severe, whereas specific risk scenarios are considered to be rather severe, but only moderately likely. People, thus, do not seem to be aware of specific privacy risks when confronted with an abstract risk scenario. Hence, privacy researchers or activists should make people aware of what collected and analyzed data can be used for when abused (by the service or even an unauthorized third party).
Improved Differentially Private Analysis of Variance
Authors: Swanberg Marika , Globus-Harris Ira , Griffith Iris , Ritz Anna , Groce Adam , Bray Andrew
Published: July 2019

Hypothesis testing is one of the most common types of data analysis and forms the backbone of scientific research in many disciplines. Analysis of variance (ANOVA) in particular is used to detect dependence between a categorical and a numerical variable. Here we show how one can carry out this hypothesis test under the restrictions of differential privacy. We show that the F -statistic, the optimal test statistic in the public setting, is no longer optimal in the private setting, and we develop a new test statistic F
1 with much higher statistical power. We show how to rigorously compute a reference distribution for the F
1 statistic and give an algorithm that outputs accurate p-values. We implement our test and experimentally optimize several parameters. We then compare our test to the only previous work on private ANOVA testing, using the same effect size as that work. We see an order of magnitude improvement, with our test requiring only 7% as much data to detect the effect.
ConsenSGX: Scaling Anonymous Communications Networks with Trusted Execution Environments
Authors: Sasy Sajin , Goldberg Ian
Published: July 2019

Anonymous communications networks enable individuals to maintain their privacy online. The most popular such network is Tor, with about two million daily users; however, Tor is reaching limits of its scalability. One of the main scalability bottlenecks of Tor and similar network designs originates from the requirement of distributing a global view of the servers in the network to all network clients. This requirement is in place to avoidepistemic attacks, in which adversaries who know which parts of the network certain clients do and do not know about can rule in or out those clients from being responsible for particular network traffic.

In this work, we introduce a novel solution to this scalability problem by leveraging oblivious RAM constructions and trusted execution environments in order to enable clients to fetch only the parts of the network view they require, without the directory servers learning which parts are being fetched. We compare the performance of our design with the current Tor mechanism and other related works to show one to two orders of magnitude better performance from an end-to-end perspective. We analyse the requirements to actually deploy such a scheme today and conclude that it would only require a small fraction (<2.5%) of the relays to have the required hardware support; moreover, these relays can perform their roles with minimal network bandwidth requirements.
Circumventing Cryptographic Deniability with Remote Attestation
Authors: Gunn Lachlan J. , Parra Ricardo Vieitez , Asokan N.
Published: July 2019

Deniable messaging protocols allow two parties to have ‘off-the-record’ conversations without leaving any record that can convince external verifiers about what either of them said during the conversation. Recent events like the Podesta email dump underscore the importance of deniable messaging to politicians, whistleblowers, dissidents and many others. Consequently, messaging protocols like Signal and OTR are designed with cryptographic mechanisms to ensure deniable communication, irrespective of whether the communications partner is trusted.

Many commodity devices today support hardware-assisted remote attestation which can be used to convince a remote verifier of some property locally observed on the device.

We show how an adversary can use remote attestation to undetectably generate a non-repudiable transcript from any deniable protocol (including messaging protocols) providing sender authentication, proving to skeptical verifiers what was said. We describe a concrete implementation of the technique using the Signal messaging protocol. We then show how to design protocols that are deniable even against an adversary capable of attestation, and in particular how attestation itself can be used to restore deniability by thwarting realistic classes of adversary.
Git Blame Who?: Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments
Authors: Dauber Edwin , Caliskan Aylin , Harang Richard , Shearer Gregory , Weisman Michael , Nelson Frederica , Greenstadt Rachel
Published: July 2019

Program authorship attribution has implications for the privacy of programmers who wish to contribute code anonymously. While previous work has shown that individually authored complete files can be attributed, these efforts have focused on such ideal data sets as contest submissions and student assignments. We explore the problem of authorship attribution “in the wild,” examining source code obtained from open-source version control systems, and investigate how contributions can be attributed to their authors, either on an individual or a per-account basis. In this work, we present a study of attribution of code collected from collaborative environments and identify factors which make attribution of code fragments more or less successful. For individual contributions, we show that previous methods (adapted to be applied to short code fragments) yield an accuracy of approximately 50% or 60%, depending on whether we average by sample or by author, at identifying the correct author out of a set of 104 programmers. By ensembling the classification probabilities of a sufficiently large set of samples belonging to the same author we achieve much higher accuracy for assigning the set of samples to the correct author from a known suspect set. Additionally, we propose the use of calibration curves to identify which samples are by unknown and previously unencountered authors.
Transcription factors gene expression in chronic rhinosinusitis with and without nasal polyps
Authors: Soklic Tanja Kosak , Rijavec Matija , Silar Mira , Koren Ana , Kern Izidor , Hocevar-Boltezar Irena , Korosec Peter
Published: July 2019

Background

Chronic rhinosinusitis (CRS) current therapeutic approaches still fail in some patients with severe persistent symptoms and recurrences after surgery. We aimed to evaluate the master transcription factors gene expression levels of T cell subtypes in chronic rhinosinusitis with nasal polyps (CRSwNP) and chronic rhinosinusitis without nasal polyps (CRSsNP) that could represent new, up-stream targets for topical DNAzyme treatment.

Patients and methods

Twenty-two newly diagnosed CRS patients (14 CRSwNP and 8 CRSsNP) were prospectively biopsied and examined histopathologically. Gene expression levels of T-box transcription factor (T-bet, TBX21), GATA binding protein 3 (GATA3), Retinoic acid-related orphan receptor C (RORC) and Forkhead box P3 (FOXP3) were analyzed by real-time quantitative polymerase chain reaction (RT-qPCR).

Results

Eosinophilic CRSwNP was characterized by higher level of GATA3 gene expression compared to noneosinophilic CRSwNP, whereas there was no difference in T-bet, RORC and FOXP3 between eosinophilic and noneosinophilic CRSwNP. In CRSsNP, we found simultaneous upregulation of T-bet, GATA3 and RORC gene expression levels in comparison to CRSwNP; meanwhile, there was no difference in FOXP3 gene expression between CRSwNP and CRSsNP.

Conclusions

In eosinophilic CRSwNP, we confirmed the type 2 inflammation by elevated GATA3 gene expression level. In CRSsNP, we unexpectedly found simultaneous upregulation of T-bet and GATA3 that is currently unexplained; however, it might originate from activated CD8+ cells, abundant in nasal mucosa of CRSsNP patients. The elevated RORC in CRSsNP could be part of homeostatic nasal immune response that might be better preserved in CRSsNP patients compared to CRSwNP patients. Further data on transcription factors expression rates in CRS phenotypes are needed.
Production of Ligninolytic Enzymes by Coptotermes curvignathus Gut Bacteria
Authors: Ayeronfe Fadilah , Kassim Angzzas , Hung Patricia , Ishak Nadiah , Syarifah Sharfina , Aripin Ashuvila
Published: July 2019

Maximum utilization of lignocellulosic biomass is contingent upon degrading the recalcitrant lignin polymer. Conventional methods employed in delignification require high inputs of energy and chemicals, resulting in the release of highly toxic effluents. The ability of gut flora of Coptotermes curvignathus in lignin degradation was investigated in this study. Production of ligninolytic enzymes was done in an aerated submerged fermentation system with kraft lignin as sole carbon source. The degradation experiment was carried out for 7 days at 30 °C, pH 7. Three potential lignin degraders identified as Bacillus sp., Lysinibacillus sp. and Acinetobacter sp. were successfully isolated. The bacterial growth and secretion of extracellular ligninolytic enzymes confirmed metabolism of kraft lignin by the identified strains. Lysinibacillus sp., a novel lignin degrader showed highest manganese peroxidase (76.36 ± 15.74 U/L) and laccase activity (70.67 ± 16.82 U/L) after 7 and 6 days of incubation respectively, while maximal activity of lignin peroxidase (262.49 ± 0.92 U/L) was recorded after 7 days in culture supernatants of Bacillus sp. With respect to the activity of the secreted enzymes, the lignin degrading potential of these bacterial strains can be explored in the valorisations of lignocellulosic biomass in industrial processes such as pulping, bioethanol production, fine chemicals and materials synthesis.
UPOREDNA ANALIZA KONSTRUKCIJE SKELETNOG I UKRUĆENOG SKELETNOG SISTEMA NA PRIMERU STAMBENO-POSLOVNOG OBJEKTA U BEOGRADU
Authors: Maksimović Mirko
Published: July 2019

Tema rada jeste projekat armiranobe­tonske konstrukcije ukrućenog skeletnog sistema za stam­beno-poslovni objekat u Beogradu. Pored proračuna, d­imenzionisanja i izrade planova armiranja za sve ele­mente konstrukcije izvršena je uporedna analiza kons­trukcije čistog skeletnog sistema i skeleta ukrućenog betonskim platnima.
PROCENA STANJA I SANACIJA DRUMSKOG MOSTA NA PUTU BEOČIN – NASELJE DUNAV
Authors: Manojlović Darko
Published: July 2019

U radu je dat opis noseće konstrukcije drumskog betonskog mosta na putu Beočin – Naselje Dunav. Vizuelnim pregledom su uočeni defekti i oštećenja svih konstrukcijskih elemenata. Procjenom stanja i projektom sanacije su predviđeni građevinski radovi koje je potrebno uraditi na objektima koji su oštećeni. Projekat sanacije se sastoji iz više faza. Prvo je potrebno doći do odgovarajuće projektno-tehničke dokumentacije, izaći na teren i obaviti vizuelni pregled, izvršiti procjenu stanja, ispitati materijale od kojih je objekat napravljen i predložiti mjere sanacije. Objekti kod kojih se sumnja u nosivost, stabilnost, funkcionalnost i upotrebljivost, treba da budu vizuelno pregledani, da se predlože mjere sanacije i da se saniraju kako bi se produžio životni vijek takvih konstrukcija.
ANALIZA POSTUPKA ZA IZRADU NIVELACIONIH PLANOVA U PROCESU PROJEKTOVANJA POVRŠINSKIH I DENIVELISANIH RASKRSNICA
Authors: Zečević Goran
Published: July 2019

Tema ovog rada jeste analiza postupka za izradu nivelacionih planova u procesu projektovanja površinskih i denivelisanih raskrsnica. U okviru rada su predstavljene teorijske osnove za izradu nivelacionog plana, pregled i analiza softverskih paketa za njegovu izradu i praktični primer projekta putne deonice sa detaljima nivelacionog plana u zoni raskrsnica.
PROCENA STANJA, SANACIJA I REVITALIZACIJA DVORCA KARAČONJI U NOVOM MILOŠEVU
Authors: Dupljanin Milica
Published: July 2019

U radu je dat opis noseće konstrukcije, proceom stanja i predlog sanacije oštećenih elemenata konstrukcije dvorca Karačonji. Kako bi se utvrdio stepen oštećenja koja su se pojavila tokom vremena i prilikom neadekvatne namene urađen je detaljan vizuelni pregled svih dostupnih delova i elemenata predmetnog objekta. Na osnovu analize registrovanih oštećenja dat je predlog sanacionih mera u cilju da se on zaštiti, revitalizuje i sačuva za buduće generacije.
ПРОЈЕКАТ КОЛОВОЗНЕ КОНСТРУКЦИЈЕ ГРАНИЧНОГ ПРЕЛАЗА ВАТИН НА ДРЖАВНОМ ПУТУ I Б РЕДА БРОЈ 10 ОД КМ 90+963.210 ДО КМ 91+463.000
Authors: Николић Вида
Published: July 2019

У Мастер раду приказано је инжењерско решење изградње граничног прелаза Ватин на државном путу I Б  реда број 10, на око 200m удаљености од граничне линије са Румунијом. Детаљно су разрађени сви елементи пројектне геометрије. Проверена је проходност меродавних возила. Урађена су геомеханички испитивања како теренска, тако и лабораторијска. Димензионисање нове коловозне конструкције извршено је према стандарду СРПС У.Ц4.015. Прорачун напона и деформација урађен је преко рачунарског програма ''DAMA'', асфалтног института САД-а.
МЕРЕ ЗА ПОВЕЋАЊЕ КВАЛИТЕТА ТРАНСПОРТНЕ УСЛУГЕ АУТО-ТРАНСПОРТНОГ ПРЕДУЗЕЋА „ШПЕДИЦИЈА ЂОРЂЕВИЋ” Д.О.О. ИЗ ЛОЗНИЦЕ
Authors: Митровић Иван
Published: July 2019

Циљ овог рада јесте извршити анализу досадашњег развоја и пословања предузећа, приказати кретање возног парка и основне процесе који прате организацију међународних робних токова, као и резултате рада возила, транспортни капацитет, структуру трошкова који утичу на цену превоза и производност возног парка за 2017 годину, организациону структура у самој фирми и структуру запослених кадрова и примењене информационе системе. На основу извршених анализа и добијених података биће дати предлози мера за побољшање пословања предузећа.
POSLOVNI MODELI U SEKTORU TRANSPORTA I LOGISTIKE
Authors: Varničić Milica
Published: July 2019

Poslovni modeli su često korišten pojam u poslovnoj praksi, gde se koriste za opisivanje i razumevanje suštine poslovanja. Kompanije su, u današnje vreme, primorane da posluju na globalnim tržištima u uslovima stalnih i turbulentnih promena u njihovom okruženju. Da bi se izdvojila od konkurencije svaka kompanija mora da ima jasnu sliku za budućnost o svom poslovanju, konkurentnoj situaciji i da poseduje uspešan poslovni model. Predmet ovog rada jeste analiza poslovnih modela, nihovih ključnih elemenata, te inovacija i evolucija istih u oblasti transporta i logistike.
OPTIMIZACIJA PRIKAZA QR KODA U DIGITALNIM MEDIJIMA
Authors: Vidić Nataša , Trpovski Željen
Published: July 2019

U ovom radu izvršeni su eksperimenti u vezi sa QR kodom i njegovim primenama na televiziji, kao vezi između televizijskih programa i krajnjih koris­nika, odnosno gledalaca. Cilj jeste da se posredstvom mobilnog uređaja na kom je instalirana aplikacija omogući skeniranje i korišćenje QR koda u različite svrhe.
МОДЕЛ ЈАВНОГ ПРЕВОЗА ПУТНИКА У ИНТЕГРИСАНОМ СИСТЕМУ
Authors: Ђорђевић Стефан , Симеуновић Милан
Published: July 2019

Слично осталим комуналним делат­ностима, ЈГПП не може функционисати на комерци­јалној основи. Оваква позиција ЈГПП-а, са једне стране и потреба да се што пре изврши либерализација тржишта, инспирисале су развој различитих модела организације и управљања тржиштем. Циљ је намет­нути превознику „обавезу јавног превоза“, и за то одредити одређену новчану надокнаду
TRANSFORMISANJE KOPNENIH TERMINALA U LOGISTIČKE CENTRE
Authors: Savić Lazar
Published: July 2019

U okviru rada, na osnovu iz literature prezentovan je koncept kopnenih terminala i logističkih centara. Prvo su detaljnije objašnjeni globalni trendovi koji su uslovili razvoj koncepta kontinentalnih terminala, nakon čega su prikazane njegove dimenzije i funkcija u okviru lanaca snabdevanja.
ULOGA ODNOSA S JAVNOŠĆU U BANKARSKOM SEKTORU
Authors: Paponjak Slobodan , Lalić Danijela
Published: July 2019

Cilj ovog rada je da prikaže šta su odnosi s javnošću i koliki je njihov značaj za izgradnju i ordžavanje imidža i reputacije banaka, kao i da prikaže analizu trenutnog nivoa primene i razvoja odnosa s javnošću u bankarskom sektoru u Srbiji. Prvi deo rada je posvećen predmetu, cilju i značaju odnosa s javnošću , te primenjenoj metodologiji istraživanja. U drugom delu rada pojmovno su određeni odnosi s javnošću, njihov značaj i uticaji uz poseban akcenat na odnose s javnošću u bankarskom sektoru. Prikazan je značaj ove funkcije, njihovo planiranje i indentifikacija ciljne javnosti, pri čemu je obrađen konkretan primer primene odnosa s javnošću u bankarskom sektoru u Srbiji.
UTICAJ LIDERSTVA NA PREDANOST ORGANIZACIJI
Authors: Dragičević Nataša
Published: July 2019

U radu je istraživan uticaj liderstva na predanost zaposlenih u organizaciji. Suština ovog istraživanja je da ukaže  na značaj liderstva  kao jednog od najvažnijih faktora koji utiču na posvećenost i lojalnost zaposlenih. Dalje, istraživanje treba da pokaže i da li demografske varijable poput pola, obrazovanja, radnog mesta, starosne dobi i radnog staža u organizaciji imaju uticaja na posvećenost zaposlenih.
ODNOSI U TIMU ZASNOVANI NA SCRUM PRISTUPU
Authors: Tošić Dijana
Published: July 2019

Fokus ovog rada je istraživanje i prepoznavanje efekta primene i uticaja agilnog softvera razvojne metode na iskustvu timova 3 vodeće kompanije, kao novijeg način rada tj. pristupa timskoj realizaciji aktivnih zahteva. Pored toga, cilj ovog istraživanja je i u dobijanju realne slike timske funkcionalnost i motivacijei, odnosa članova prema timu i pravilima definisanim Scrum pristupom.
PRIMENA ALGORITAMSKE TRGOVINE U UPRAVLJANJU INVESTICIJAMA
Authors: Savić Snežana
Published: July 2019

U ovom radu će biti reči o finansijskim tržištima, berzi i berzanskom poslovanju sa posebnim akcentom na primenu algoritamske trgovine u upravljanju investicijama. Cilj rada jeste da se na jedan celovit i razumljiv način istraže finansijska tržišta, berze i algoritamska trgovina, odnosno da se prikažu efekti primene algoritamske trgovine prilikom odabira najbolje moguće strategije investiranja.
ANALIZA PROCESA PLANIRANJA I ORGANIZOVANJA U PREDUZEĆIMA
Authors: Stojanović Jovana
Published: July 2019

Ovaj rad se bavi analizom procesa planiranja i organizovanja u savremenim uslovima poslovanja preduzeća. U radu je prikazano istraživanje procesa planiranja i organizovanja u dve organizacije i date su mere unapređenja poslovanja.
PROAKTIVNO DONOŠENJE ODLUKA
Authors: Borenović Milica , Dućak Ljubica
Published: July 2019

Cilj ovog istraživanja bio je utvrđivanje razlika između načina donošenja odluka u odnosu na pol zaposlenih, godine starosti, godine radnog iskustva i hijerarhijskog nivoa pozicije u kontekstu proaktivnog donošenja odluka. Istraživanjem je obuhvaćeno 103 ispitanika iz 10 različitih kompanija. Dobijeni rezultati pokazali su da zaposleni sa više godina starosti, više radnog iskustva i višeg hijerarhijskog niva pozicije u kompaniji pozitivno utiču na proaktivno donošenje odluka, dok pol zaposlenih ne utiče na proaktivno donošenje odluka.
ISTRAŽIVANJE UTICAJA DRUŠTVENIH MREŽA NA PERFORMANSE VISOKOŠKOLSKIH USTANOVA
Authors: Ljubojević Ljubomir
Published: July 2019

U radu su prikazani rezultati istraži­vanja uticaja društvenih mreža na performanse visoko­školskih ustanova.
Amik Ovası Koşullarında Börülce (Vigna unguiculata (L.) Walp.) Çeşitlerinin Tarımsal Özelliklerinin Belirlenmesi
Authors: Erdoğan Cahit
Published: July 2019

Bu araştırma, Türkiye‘de kuru dane olarak kullanımı için tescil edilen dört börülce çeşidinin bazı morfolojik ve tarımsal özelliklerini belirlenerek amacıyla 2013 ve 2014 yetiştirme sezonunda, Amik ovası koşullarında, tesadüf blokları deneme desenine göre üç tekrarlamalı olarak yürütülmüştür. Araştırma sonuçlarına göre, en yüksek bitki boyu (221,8 cm) ve en yüksek ilk bakla yüksekliği (43,6 cm) Sırma çeşidinden; en yüksek bitkide dal sayısı (4,0 adet), en yüksek bakla uzunluğu (14,9 cm), en fazla bitkide bakla sayısı (19,8 adet), en fazla bitkide tane sayısı (113,5 adet), en fazla yüz tohum ağırlığı (22,2 g) ve en yüksek tane verimi (275,2 kg/da) Amazon çeşidinden; en fazla baklada tane sayısı (6,2 adet) ve en yüksek hasat indeksi (%39) ise Karagöz çeşidinden elde edilmiştir. Ayrıca yapılan korelasyon analizi sonucunda incelenen bazı özellikler arasında istatistiksel olarak hem olumlu hem de olumsuz ilişkiler tespit edilmiştir. Dekardaki tane verimi göz önüne alındığında Amik ovası koşullarında denemede yer alan börülce çeşitleri içerisinde Amazon çeşidinin üreticilere tavsiye edilebileceği ortaya çıkmıştır.
Fungicide Management of Faba Bean Gall (Olpidium viciae) in Ethiopia
Authors: Kebede Wulita Wondwosen , W/Michael Mashilla Dejene , Tadesse Negussie , Kemal Seid Ahmed
Published: July 2019

Various biotic, abiotic and socio-economic factors negatively affect the productivity of the crop. Among these, a new disease known as Faba bean galls (Olpidium viciae) has become a serious threat to faba bean production and productivity in highland areas of central and northern Ethiopia. Thus, field experiment was conducted in Lay Gorebela and Mush to assess the efficacies of fungicides for the management of faba bean gall under natural infection. Six fungicides were evaluated alongside control in randomized complete block design in three replications. Fungicides showed different levels of efficiency at both locations in both seasons. In 2014/15, the highest percent severity index and area under disease progress curve were calculated from control plots at both locations. At Lay Gorebela, higher grain yields were recorded from Metalaxyl 8% + Mancozeb 64% WP and Triadimefon 250 g/L sprayed plots whereas plots sprayed with Metalaxyl 8% + Mancozeb 64% WP gave higher yield at Mush. Similar trends in percent severity index and grain yield were observed with control treatment in 2015/16. Percent severity index and area under disease progress curve were negatively correlated with grain yield and positively correlated with each other at both locations and seasons. Partial budget analysis indicated as Triadimefon 250 g/L and Metalaxyl 8% + Mancozeb 64% WP were cost-effective. The chemical treatment could be used as a short-term control strategy, and a component in integrated management of faba bean galls.
Tailoring the Professional Development of Volunteer Clinical Faculty at Regional Medical Campuses:
Authors: Hoffmann-Longtin Krista , Torbeck Laura , Nalin Peter , Cico Stephen John
Published: July 2019

Volunteer Clinical Faculty (VCF) are essential for the education of medical students at most medical schools with regional campuses. Indiana University School of Medicine is the largest medical school in the United States, with over 1,400 medical students experiencing part or all of their medical education at nine campuses (one academic center and eight regional medical campuses). Given the large number of students learning in the community, we surveyed our VCF in 2016 to better understand their characteristics, reasons for teaching, and professional development needs. Survey participants reported personal enjoyment from teaching as their primary reason for continuing to teach, but time pressure as a limiting factor. They identified faculty development opportunities in areas of efficient teaching, giving feedback, and adapting teaching style for various learners. Interventions were designed to create a unique, state-wide model of both face-to-face and online professional development to ensure the success of our VCF.
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Authors: Khamo Mohammed H.
Published: July 2019

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Authors: Ali Sabah H.
Published: July 2019

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Authors: Khalo Tariq I.
Published: July 2019

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PENGARUH BUDAYA ORGANISASI, ETOS KERJA, INDEPENDENSI AUDITOR, INTEGRITAS AUDITOR DAN PEMAHAMAN GOOD GOVERNANCE TERHADAP KINERJA AUDITOR
Authors: Wanadri Chandra , Astuti Christina Dwi
Published: July 2019

This study aims to determine the effect of Organizational Culture, Work Ethics, Auditor Independence, Integrity Auditor and Understanding of Good Governance on Auditor Performance. The sample used in this study consists of 121 auditors, internal auditors and external auditors are included in Jakarta. Samples were randomly distributed using a purposive sampling method. The method used in this study is a multiple linear regression. This Study show that the results of Auditor Independence can affect auditor performance significantly, because of the significant level of the t test was under 0.05. while the other independent variables, such as Cultural Organization, Work Ethics, Integrity Auditor and understanding of Good Governance, together with the auditor independence joinly affect auditor performance, because the level of the F test is significant in under 0.05. For future research, it is advisable to further expand the sample to be used in research, as well as adding variables that need to be researched and also accompany the respondents in the questionnaire in order to obtain a thorough and accurate answer.
ANALISIS EFISIENSI PERBANKAN SYA RIAH DENGAN MENGGUNAKAN STOCHASTIC FRONTIER APPROACH PERIODE 2010–2014
Authors: Sukmaningrum Indah , Pohan Hotman Tohir
Published: July 2019

This study aimed to analyze the technical efficiency and the relationshipbetween savings, total fixed assets, and labor costs for financing the Islamic Banks in Indonesia relating to the technical efficiency. This study uses secondary data by downloading BUS quarterly reports on directory OJK in 2015. The sample used in this study were 190 samples from 10 Islamic Banks since the second quarter of 2010 up to the end 2014. Panel data analysis using the method of Stochastic Frontier Approach orientation Cobb Douglas production function and see the bank with the intermediation approach. Causality data is processed using multiple regression equation with Cobb Douglas linear function. Based on the results of this study concluded that an efficient BUS with the highest technical and Bank Panin Syariah, BUS with the lowest technical efficiency is Bank Victoria Syariah. Based on the results of all the input variables affect the output variables. And the rise and fall of proven technical efficiency due to the influence of the variable relationship
PENGARUH GAYA KEPEMIMPINAN, BUDAYA ORGANISASI, UKURAN, UMUR DAN KEPEMILIKAN PERUSAHAAN TERHADAP KEPATUHAN KEWAJIBAN PAJAK
Authors: Hutagalung Dhaniel , Waluyo Waluyo
Published: July 2019

This study aims to: (1) determine and predict the relationship leadership style influence on tax compliance, (2) determine the influence of organizational culture on tax compliance, (3) determine the effect of firm size on tax compliance, (4) determine the effect of age corporate tax compliance, and (5) the effect of ownership on tax compliance.Associative and quantitative statistical methods are used. Object and the sample are property, real estate and construction company sector in Jakarta, and are listed on the Indonesian Stock Exchange. The sampling technique used by census method based on the number of small population. 32 respondents of tax staff / manager, accounting or finance were used as the primary data. Spread questionnaires were analyzed using Structural Equation Modeling (SEM) with an alternative Partial Least Square (PLS) using SmartPLS program version 2.0 M3. SEM-PLS is used because of the difference in scale of measurement variables and lack of samples.The results showed that of the five hypotheses proposed, only two hypotheses are acceptable. Organizational culture has an significant influence and firm size variabel affect tax compliance by 17.79% and significant with T-statistic of 2.41 (>1,96). The larger the company the more it is likely to dutifully carry out their tax compliance and predictions on the role of leadership styles to improve tax compliance is acceptable. Leadership style affect by 19,91% and no significant with T-Statistic 1.83 (<1.96) at 5% significance level, age and ownership of the company was found do not affect the Tax compliance. R-square showed value of 0.4003 indicates, the relationship model are moderate which means that all variables affect the overall 40.03% of the tax compliance.
PENGARUH PENGUNGKAPAN GOOD CORPORATE GOVERNANCE DAN CORPORATE SOCIAL RESPONSIBILITY TERHADAP KINERJA PERUSAHAAN PERBANKAN
Authors: Ariyani Ratna Desi , Gunawan Juniati
Published: July 2019

This study aimed to examine the effect of GCG disclosures and CSR disclosures on banking company performance that listed on the Stock Exchange 2005-2010. Measurement of GCG disclosures using IGCG and CSR disclosures measured using ICSR. Banking company performance measured using ROA and ROE. Hypothesis testing is done using multiple regression analysis. The results showed that each GCG and CSR disclosures has significant influence on banking company performance. Percentage of GCG disclosures was tends to increase and CSR disclosures fluctuated. These mean that banking companies have started realizing the benefits of the implementing GCG and CSR. In the long term, it is expected to continue to increase the banking company performance, enjoy a good market performance that will be enjoyed by the general public.
PENGARUH KARAKTERISTIK PERUSAHAAN TERHADAP PERATAAN LABA DENGAN GOOD CORPORATE GOVERNANCE SEBAGAI VARIABEL MODERASI (Studi Empiris Pada Perusahaan Manufaktur yang Terdaftar Di Bursa Efek Indonesia)
Authors: Gandasari Imas , Herawaty Vinola
Published: July 2019

The purpose of this study was to examine the influence of return on assets, net profit margin, dividend payout ratio, financial leverage and firm age to income smoothing moderated good corporate governance as well as to test the size of the company that will control the income smoothing. This study used logistic regression test. Samples are companies listed on the Jakarta Stock Exchange by taking a sample of 174 firms from 2011-2013. Sampling is done by using purposive sampling method. Test the above hypothesis used SPSS 20. Based on the analysis it can be concluded that the dividend payout ratio negatively affect income smoothing, while the return on assets, net profit margin, financial leverage¸ firm age no significant effect on income smoothing. Good corporate governance can only moderate the effect of the dividend payout ratio to income smoothing. The size of the company as variable controls of an effect on income smoothing.