bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inferring Tracker-Advertiser Relationships in the Online Advertising Ecosystem using Header Bidding
Authors: Cook John , Nithyanand Rishab , Shafiq Zubair 
Published: January 2020

Abstract
Online advertising relies on trackers and data brokers to show targeted ads to users. To improve targeting, different entities in the intricately interwoven online advertising and tracking ecosystems are incentivized to share information with each other through client-side or server-side mechanisms. Inferring data sharing between entities, especially when it happens at the server-side, is an important and challenging research problem. In this paper, we introduce Kashf: a novel method to infer data sharing relationships between advertisers and trackers by studying how an advertiser’s bidding behavior changes as we manipulate the presence of trackers. We operationalize this insight by training an interpretable machine learning model that uses the presence of trackers as features to predict the bidding behavior of an advertiser. By analyzing the machine learning model, we can infer relationships between advertisers and trackers irrespective of whether data sharing occurs at the client-side or the server-side. We are able to identify several server-side data sharing relationships that are validated externally but are not detected by client-side cookie syncing.
Emotional and Practical Considerations Towards the Adoption and Abandonment of VPNs as a Privacy-Enhancing Technology
Authors: Namara Moses , Wilkinson Daricia , Caine Kelly , Knijnenburg Bart P. 
Published: January 2020

Abstract
Virtual Private Networks (VPNs) can help people protect their privacy. Despite this, VPNs are not widely used among the public. In this survey study about the adoption and usage of VPNs, we investigate people’s motivation to use VPNs and the barriers they encounter in adopting them. Using data from 90 technologically savvy participants, we find that while nearly all (98%; 88) of the participants have knowledge about what VPNs are, less than half (42%; 37) have ever used VPNs primarily as a privacy-enhancing technology. Of these, 18% (7) abandoned using VPNs while 81% (30) continue to use them to protect their privacy online. In a qualitative analysis of survey responses, we find that people who adopt and continue to use VPNs for privacy purposes are primarily motivated by emotional considerations, including the strong desire to protect their privacy online, wide fear of surveillance and data tracking not only from Internet service providers (ISPs) but also governments and Internet corporations such as Facebook and Google. In contrast, people who are mainly motivated by practical considerations are more likely to abandon VPNs, especially once their practical need no longer exists. These people cite their access to alternative technologies and the effort required to use a VPN as reasons for abandonment. We discuss implications of these findings and provide suggestions on how to maximize adoption of privacy-enhancing technologies such as VPNs, focusing on how to align them with people’s interests and privacy risk evaluation.
Pets without PETs: on pet owners’ under-estimation of privacy concerns in pet wearables
Authors: van der Linden Dirk , Edwards Matthew , Hadar Irit , Zamansky Anna 
Published: January 2020

AbstractWe report on a mixed-method, comparative study investigating whether there is a difference between privacy concerns expressed about pet wearables as opposed to human wearables – and more importantly,why. We extracted the privacy concerns found in product reviews (N=8,038) of pet wearables (activity, location, and dual-function trackers), contrasting the (lack of) concerns and misuse to a curated set of reviews for similar human-oriented wearables (N=20,431). Our findings indicate that, while overall very few privacy concerns are expressed in product reviews, for pet wearables they are expressed even less, even though consumers use these devices in a manner which impacts both personal and bystander privacy. An additional survey of pet owners (N=201) eliciting what factors would cause them to not purchase (or stop using) pet wearables indicated comparably few privacy concerns, strengthening the representativeness of our findings. A thematic analysis reveals that the lack of privacy concerns may be explained by, among other factors, emotional drivers to purchase the device, and prioritization of (desired) functionality to support those emotional drivers over privacy requirements. Moreover, we found that pet wearables are used in different ways than originally intended, which raise novel privacy implications to be dealt with. We propose that in order to move towards more privacy-conscious use of pet wearables, a combination of understanding consumer rationale and behavior as well as ensuring data protection legislation is adequate to real-world use is needed.
The Best of Both Worlds: Mitigating Trade-offs Between Accuracy and User Burden in Capturing Mobile App Privacy Preferences
Authors: Smullen Daniel , Feng Yuanyuan , Aerin Zhang Shikun , Sadeh Norman 
Published: January 2020

Abstract
In today’s data-centric economy, data flows are increasingly diverse and complex. This is best exemplified by mobile apps, which are given access to an increasing number of sensitive APIs. Mobile operating systems have attempted to balance the introduction of sensitive APIs with a growing collection of permission settings, which users can grant or deny. The challenge is that the number of settings has become unmanageable. Yet research also shows that existing settings continue to fall short when it comes to accurately capturing people’s privacy preferences. An example is the inability to control mobile app permissions based on the purpose for which an app is requesting access to sensitive data. In short, while users are already overwhelmed, accurately capturing their privacy preferences would require the introduction of an even greater number of settings. A promising approach to mitigating this trade-off lies in using machine learning to generate setting recommendations or bundle some settings. This article is the first of its kind to offer a quantitative assessment of how machine learning can help mitigate this trade-off, focusing on mobile app permissions. Results suggest that it is indeed possible to more accurately capture people’s privacy preferences while also reducing user burden.
Electrical Resistivity Tomography for Sustainable Groundwater Development in a Complex Geological Area
Authors: Akingboye Adedibu Sunny , Osazuwa Isaac Babatunde , Mohammed Muraina Zaid 
Published: January 2020

Abstract
Electrical resistivity tomography (ERT) was used for delineating significant subsurface hydrogeological features for sustainable groundwater development in Etioro-Akoko area, Southwestern Nigeria. This study was necessitated by challenges posed on groundwater supplies from wells and boreholes in Etioro-Akoko and the neighbouring fast growing towns and villages. Field data were acquired over the area with ABEM Lund Resistivity Imaging System and were subsequently processed and inverted through RES2DINVx64 software. Results showed four distinct subsurface layers: topsoil, weathered layer, fractured bedrock and fresh bedrock (basal unit). Localised bedrock depressions occasioned by fracturing and deep weathering of less stable bedrock minerals were delineated with resistivity and thickness values ranging from 50 to 650 Ωm and 12 to ---gt--- 25 m, respectively. The localised depressions mirrored uneven bedrock topography and served as the preferential groundwater storage and hydrogeological zones in the area. The two hydrogeological zones significant for groundwater development included overburden-dependent aquifers and fractured dependent bedrock aquifers. It was, therefore, concluded that groundwater storage potential was depended on hydrogeological zones particularly at major localised bedrock depressions where fractures and groundwater recharges/discharges were evident. Wells and boreholes were proposed at bedrock depressions with thickness value not less than 12 and ---gt--- 25 m, respectively, for enhanced groundwater sustainability and quality assurance in the area.
Physical Cavity of a Double Skin Facade as a Source of Pre-Heated Air in the Winter Season for the Heat Recovery Unit of a Facade
Authors: Bielek Boris , Klem Josip , Macák Marek 
Published: January 2020

Abstract
This paper deals with the use of pre-heated air in the winter season for the heat recovery unit of a facade. Heated air is transformed from solar radiation in the cavity of a double skin facade with a narrow space cavity. The height of a section is equal to one storey. With the help of mathematical modelling simulations (CFD tools), increases in temperature are quantified in the cavity of the double skin facade. The increase in temperature depends on the air flow and the intensity of the solar radiation. In conclusion, it summarizes the positive effect on heat recovery from the air exhaust to preheat a fresh supply of air from the double skin façade’s cavity. This approach can increase the efficiency of any heat recovery and reduce heat loss from the ventilation.
Utilization of Industrial Waste Products in the Production of Asphalt Concrete for Road Construction
Authors: Olugbenga Oyedepo J. 
Published: January 2020

Abstract
The utilization of industrial waste products to produce asphalt concrete for road construction was investigated. Aggregates were partially replaced with aluminum slag (AS) and crushed ceramic tiles (CCT) at 10%, 20%, 30%, 40%, and 50% by weight. Physical tests were performed on the aggregates, while a flash and fire point test as well as penetration tests were carried out on the bitumen. Similarly, Marshall stability tests were conducted on cylindrical specimens of the asphalt concrete. The average values of 18.88 and 30.69 obtained for the aggregate impact value (AIV) and aggregate crushing value (ACV) were satisfactory for road surfacing when compared with the specification. Marshall stability values of 10.84 KN, 4.27 KN, and 3.21 KN respectively were obtained with 30%, 20%, and 50% partial replacements with AS. The percentages were suitable for heavy, medium and light traffic when compared with the Marshall design criteria provided by the Asphalt Institute. The use of aluminum slag and crushed ceramic tile could reduce the large volume of industrial waste and the cost of pavement construction and maintenance.
Constructional Features of the Stiffness of Shearwalls in Lightweight Steel Framed Buildings
Authors: Zinkevych Oksana , Savytskyi Mykola , Zinkevych Andrii 
Published: January 2020

Abstract
For low-rise buildings frame technologies using lightweight thin-wall steel constructions have become significantly widespread. The main influence on a building’s spatial rigidity under lateral forces is taken by shearwalls. The necessary stiffness can be accomplished by setting definite constructional parameters that are selected according to the design approach. The purposes of the work are to receive the dependencies of the influence of the constructional features on the stiffness of the shearwalls (using FEM models) and to set the value of the stiffness of the shearwall of any configuration by linking its parameters with the corresponding parameters of a standard shearwall through the established dependencies.
The received dependencies of the effect of the main constructional factors and design approach for the stiffness of shear-walls can be used to provide spatial rigidity. A simplified design approach for estimating the influence of the main constructional features of shearwalls on their rigidity has been developed.
Phenomenon of Icing and a Review of Ice Accretion Nomograms, Models and Charts in Navigation
Authors: Dyrcz Czesław 
Published: January 2020

Abstract
The paper presents results of research based on analysis of marine icing nomograms, models and charts using in the sea navigation. The problem of ships icing occurs in specific weather and geographical conditions. Every year numbers of vessels navigate in these areas meet a phenomenon of icing. Ice on decks of ships can be formed from fresh water or sea (salt) water. Ships operating in waters where the phenomime of icing is occurred use for safety navigation icing nomograms and icing charts. Icing charts are created based on icing models.
The main aim of the article is to perform a review of currently used in the sea navigation icing nomograms and icing maps, based on icing models, used in navigation to depict the phenomenon of icing.
Machine learning model development for predicting road transport GHG emissions in Canada
Authors: Khan Mohd Jawad Ur Rehman , Awasthi Anjali 
Published: January 2020

Abstract
Prediction of greenhouse gas (GHG) emissions is important to minimise their negative impact on climate change and global warming. In this article, we propose new models based on data mining and supervised machine learning algorithms (regression and classification) for predicting GHG emissions arising from passenger and freight road transport in Canada. Four models are investigated, namely, artificial neural network multilayer perceptron, multiple linear regression, multinomial logistic regression and decision tree models. From the results, it was found that artificial neural network multilayer perceptron model showed better predictive performance over other models. Ensemble technique (Bagging & Boosting) was applied on the developed multilayer perceptron model, which significantly improved the model’s predictive performance.
PERAN BRAND IMAGE MEMEDIASI PENGARUH E-WOM TERHADAP NIAT KONSUMEN MENGGUNAKAN OVO MOBILE PAYMENT
Authors: Krisnawati Ni Wayan , Warmika I Gde Ketut 
Published: January 2020

Purchase intention is the stage where consumers make decisions between several brands, and finally choose the alternative they like best or the process experienced by consumers in deciding which goods or services to buy based on various considerations. This research was conducted on the basis of knowing the relationship between E-WOM on purchase intention and mediated by brand image variables. This research was conducted on prospective OVO mobile payment users, with a study sample of 110 people in Denpasar City, using a nonprobability sampling method namely purposive sampling. Data collection using questionnaires distributed through online and offline. The technical analysis used is descriptive analysis techniques and inferential analysis techniques. The results obtained are found that there is a positive influence between E-WOM on brand image, found a positive influence between E-WOM on purchase intention, found a positive influence between brand image purchase intention relationships, and brand image mediates the influence of E-WOM on purchase intention .
Keywords: brand image, E-WOM, purchase intention.
PENGARUH KEADILAN ORGANISASI, BUDAYA ORGANISASI, DAN PEMBERDAYAAN KARYAWAN TERHADAP KOMITMEN ORGANISASIONAL KARYAWAN
Authors: Isnanto Indra Dwi , Dewi I Gusti Ayu Manuati 
Published: January 2020

This research is intends to examine organization justice, organization culture, and employee empowerment to organizational commitment. This research location at PT. Bank Tabungan Negara (Persero), Tbk Denpasar Branch Office. Samples taken of 70 persons using purposive saturated or census sampling technique. The data collection is done by distributing questionnaires 5-point Likert scale. Analysis technique used is multiple linear regression analysis. The analysis showed that organization justice, organization culture, and employee empowerment positive significant effect on organizational commitment. PT. Bank Tabungan Negara (Persero), Tbk Denpasar Branch Office it’s recommended to improve organization justice, organization culture, and employee empowerment variables to increase organizational commitment.
Keywords: organization justice, organization culture, and employe empowerment, organizational commitment
PENGARUH WORK FAMILY CONFLICT DAN KEPUASAN KERJA TERHADAP KOMITMEN ORGANISASIONAL KARYAWAN PT. PASIFIC EXPRESS GARMENT
Authors: Dura Dharsan Pasek Putu Agung Wendhastra , Wibawa I Made Artha 
Published: January 2020

Organizations hold a very important key in helping employees to build organizational commitment. The purpose of the study was to analyze, to determine the effect of work family conflict and job satisfaction on organizational commitment at PT. Pacific Express Garment Denpasar. The sample was determined by 45 people with saturated sampling techniques. Data collection is done by distributing questionnaires directly to employees of PT. Pacific Express Garment Denpasar and analyzed using descriptive statistics on average counts and descriptive statistics in the form of classic assumption tests and multiple linear regression analysis. The results of data analysis showed that work-family conflict variables had a negative and significant effect on the organizational commitment of employees of PT. Pacific Denpasar Garment Garment and Job Satisfaction variables have a positive effect on Organizational Commitment of employees of PT. Pacific Express Garment Denpasar.
Keyword : Organizational commitment, job satisfaction, work-family conflict.
Provenance reconstructions. Article 1. Mineralogical and petrographic approaches and methods
Authors: Maslov A. V. , Melnichuk O. Yu. , Mizens G. A. , Titov Yu. V. 
Published: January 2020

Research subject.This is the first in the series of four articles, which aims to review existing provenance reconstruction tools.Methods and materials. The data obtained during evaluation of different sandstone allothigenous components was used as a basis for analysis. The data was collected from the Upper Riphean Zilmerdak Formation Bir’yan Member and the Upper Vendian Bassa Formation (Southern Urals); the Upper Devonian Kodinka and Ust’kodinka formations (Middle Urals); the Lower Cretaceous Sortym Formation (Western Siberian sedimentary megabasin, Bolshekhetskaya depression).Results. The sandstone composition patterns of the lithostratigraphic units under study allowed the most common provenance features to be established by means of comparing data obtained by various diagrams.Conclusions. It is established that only the Kodinka, Ust’kodinka and Sortym sandstone compositions can be used as a source for rock reconstruction analysis, while the Bir’yan and Basa sandstone compositions have undergone massive transformations.
The Analysis of Scientific Approach in Thematic Learning Using Webbed Model in Ambawang River State Elementary School
Authors: Kusrini Kusrini 
Published: January 2020

The problems of this research focused on the planning, implementation and obstacles of applying a scientific approach to thematic spider web learning models, aiming at making learners more active, critical thinking, the direct process experienced by the learners, the learning could be more meaningful, contextual and fun. This research was conducted at SDN (State Elementary School) 07 and SDN 36 at Sungai Ambawang District. It is descriptive qualitative research. The subjects of this research were the educators and the students of grade IV at SDN 07 and SDN 36 of Sungai Ambawang District. The techniques of data collection used were observation, interview, and documentation study. Data analysis was conducted through the steps: data reduction, data display, and conclusion. The technique for examining data validity was by triangulation. The results revealed that the educators had implemented the scientific approach on the thematic spider web learning model. The scientific approach implemented, includes: (1) observing, (2) questioning, (3) trying, (4) reasoning, and (5) communicating. The obstacles encountered in this lesson were lack of adequate facilities and infrastructure, the ability of their educators in mastering the learning strategy, and the low-level participation of some parents who were less concerned about their children's education and also the different characteristics of the learners.
Evaluation of the hepatoprotective activity of various extracts of Dyschoriste littoralis nees on paracetamol-induced hepatotoxicity rats
Authors: Ravi Teja P D  , Balakrishnan K  , Kottai Muthu A  
Published: January 2020

The current investigation was to examine the hepatoprotective potential of D.littoralis Nees. (family Acanthaceae) On paracetamol-induced hepatotoxicity in rats. The aerial parts of D.littoralis Nees. The powder was concentrated with various solvents (PE, EA, and methanol) through Soxhlet concentrates and different crude concentrates utilized for hepatoprotective activity. Hepatotoxicity was induced by paracetamol (2g/kg b.wt.) on the 5th day of the investigational period and given orally. Paracetamol-induced rats to exhibit elevated activities of liver enzymes such as SGOT, SGPT, ALP, gamma-glutamyltranspeptidase (GGT), creatinine, urea, total bilirubin, total cholesterol & triglyc in serum. Furthermore, Oral administration of the ethyl acetate concentrates of D.littoralis (200 mg/ kgb.wt.) given rats were significant reduction the level of SGOT, SGPT, ALP, gamma-glutamyltranspeptidase (GGT) creatinine, urea, total bilirubin, total cholesterol & triglycerides when compared to other concentrates. They also significantly elevated the concentration of complete protein and albumin when compared to other concentrates. Thus, results suggested that ethyl acetate concentrates of D.littoralis could afford better hepatoprotective activity against paracetamol-induced hepatotoxicity rats.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE TWO STAY TWO STRAY UNTUK MENINGKATKAN PRESTASI BELAJAR SISWA KELAS X SMA NEGERI 1 KUPANG
Authors: Tae Lidwina Felisima , Fakhruddin Fakhruddin , Soko Imelda Paulina , Prakoso Bagus Hary 
Published: January 2020

Two Stay Two Stray is a cooperative learning model which is majoring the cooperation of each member of group to finish the task given and give chance to its member to share information each other with another group member by following a certain pattern. The purpose of this research is to investigate the difference of learning achievement between students who have been taught using cooperative learning model of Two Stay Two Stray type with three intersection pattern and students who have been taught using cooperative learning model of Two Stay Two Stray type with the simple pattern. The participants of this research are two groups of 10th grader, the A class as the experiment group and the B class as the control group respectively. The instruments used in this research is Two Stay Two Stray with three intersection pattern and simple pattern learning which is manifested in the syllabus, Teaching Implementation Plan (RPP), and the questions for pre test and post test. The results of the data analysis were: 1) There was a difference in achievement between students who have been taught using cooperative learning of Two Stay Two Stray type with three intersection pattern and students who have taught using a model of cooperative learning by Two Stay Two Stray type with simple pattern, 2) the learning achievements of students who have taught using cooperative learning model of Two Stay Two Stray type with three intersection pattern were higher than students who have taught using cooperative learning model of Two Stay Two Stray type with simple pattern.