Miracle-dz/UniFAR-FTUs huggingface dataset:
MAPS: Scaling Privacy Compliance Analysis to a Million Apps

Abstract 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.
SMASim Manual, version 1.0

The computer industry has faced a constant need for more efficient hardware to perform computational tasks. Previous generations of microchips have tried to mitigate the problem on three fronts: increasing the execution speed by increasing the operating frequency, decreasing the amount of required time to issue a single instruction by enhancing instruction level parallelism, and increasing the “computational volume” by adding more computational units. Developing new architectures has turned out to be expensive and requires relatively great amount of resources even when building experimental FPGA prototypes. SMASim is a software based simulator, motivated by an experimental moving threads architecture, that attempts to lower the costs of rapidly designing new architectures. It is based on a general purpose, precise latency centric message passing framework between the described hardware architecture elements. Its relatively simple cost model captures the essential properties of many hardware designs. The simulator’s design allows easy monitoring of the system and provides execution performance comparable to other cycle-accurate hardware simulators. The implementation is cycle-accurate, modular, and supports simulation on various granularity levels. The simulator is implemented in hybrid object-functional language Scala. The flexibility of Scala allows using declarative domain specific notation when specifying parts of the architecture, yet it provides a static verification of the model via a strong type system. A graphical user interface is provided to simplify the task of modifying parameters of a simulated system and to provide interactive feedback.
Metamaterial superstrate microstrip patch antenna for 5G wireless communication based on the theory of characteristic modes

Abstract Metamaterials (MTMs) have received considerable attention due to their novel electromagnetic properties. Their applications include enhancing gain and bandwidth in microstrip antennas. In this article, a dual band microstrip antenna design based on characteristic mode analysis (CMA) using MTM superstrate is proposed for 5G wireless communication. The CMA is used for the modelling, analysis and optimization of the proposed antenna to examine the underlying modal behaviour of the MTM unit cell and to guide mode excitation. The antenna structure consists of a microstrip feed line connected to a rectangular patch. Then triangular split ring resonator unit cell is inserted on the ground of a traditional patch antenna that resonates at 15 GHz to produce additional resonance at 10 GHz. A planar array of 2 × 3 triangle MTM unit cells is used as superstrate to improve the gain and bandwidth at both resonances simultaneously. The optimal distance between MTM superstrate and the antenna patch is determined using the Fabry-Perot cavity theory to maximize power directivity and efficiency of the proposed antenna. The CST microwave studio software is used to model and optimize the proposed antenna. A prototype of the designed antenna that was fabricated showed good agreement between measurement and simulation results.
VND-NN: Neural Network Based Vampire Node Detection in Wireless Sensor Networks

Wireless sensor networks are widely used for environment monitoring. The sensor nodes are deployed in the areas of interest to obtain the physical world data. These nodes are resource constrained in power, memory and computation. Boarder security is one of the major applications of WSNs. The sensor nodes are mounted with the environmental sensors (temperature, pressure etc.,) to monitor the environment and forward the sensed data to the base station via mobile sinks. Adversary can easily capture nodes from the network because they are not tamper proof in nature. Once the attacker succeed in capturing a legitimate sensor node, can introduce a variety of attacks. Vampire attack a potential attack in WSNs, which is a resource draining attack. The compromised nodes will misbehave with the legitimate nodes in the network and tries to drain the resources continuously resulting in network collapse. In this paper a neural network based misbehaviour node detection algorithm is proposed. The simulation result shows that the proposed model effectively detects the misbehaviour nodes and conserves the network resources.
Evaluation of Impact Damage in Composite Structures Using Ultrasonic Testing

Abstract Barely visible impact damage is one of the problems commonly occurring in composite elements during an aircraft operation. The authors described the mechanisms of impact damage formation and propagation in composite structures. The paper presents a performed analysis of an influence of impact parameters on the resulting damage, i.e. its detectability by means of visual observation as well as its extent determined based on ultrasonic tests results. The tests were conducted on the CFRP specimens with a wide range of impact damage cases obtained with combinations of variable impact energy and shapes of impactors. Additionally, an algorithm based on image processing and image analysis methods is proposed for the purpose of the effective evaluation of the ultrasonic data obtained.
Amplification Factors in the Case of Beam Under Moving Force – Theoretical Analysis

Abstract The impact of a moving load speed on the dynamic overload of beams, assuming that the track of the load has no unevenness, is examined. First the problem of a visco-elastic beam on a Winkler foundation subjected to a force moving at a constant speed will be solved. Using the Bubnov-Galerkin method, the deflections of the beam, and then the bending moments and shear forces will be determined. The solution of the problem will be obtained both for the case of a forced vibration and the case of a free vibration after the moving force has left the beam. Using these solutions, dynamic amplification factors will be determined for the deflections, bending moments, and shear forces, which are different for the two cases. The magnitude of the amplification factors increases and decreases alternately as a function of the speed. In the case of a single force on a beam, the dynamic overloads are limited, and do not exceed 60%. There is no resonance phenomenon in the beam subjected to the single moving force. The dynamic amplification factors determined in this way can be used as correction coefficients when designing engineering structures subjected to moving loads by static methods.
The Influence of Sustainability and Green Management Concepts on Educational Facility Performance in Nigeria

Abstract This paper investigates the impact of sustainable development and green management on the performance of an educational facility with a view of enhancing the learning environment and increasing students’ achievement in Nigeria. A sequential examination of the benefits of green features and barriers in their adoption was carried out. The data for the study relied on a study sample of 400 respondents comprising university teachers, “in-resident” building professionals and postgraduate students of a built environment selected from four renowned universities in the south-west region of Nigeria. An ideation framework was constructed and multilevel analysis performed to evaluate perceptions on associated factors alongside the variable items. The low recognition of basic green benefits by the respondents was, to some extent, the result of unfamiliarity with the discussed concepts. In view of barrier factors deterring the implementation of concepts, the lack of government intervention, unavailability of formulated policies, lack of inclusion of the sustainability concept in the school curricula, and unavailability of capacity training for professionals in the building industry, were perceived to be the prime factors. The paper concludes that all stakeholders have cogent roles to play at an individual level when it comes to eliminating barriers, initiating concepts, and realizing the desired facility performance capable of ensuring a sustainable learning environment as well as promoting academic excellence in the Nigerian educational sector.
Impact of Social Responsibility on the Quality of Company Governance

Abstract The central aim of the article is company governance, i.e., researching governance of a company that does not want to be only financially successful but also direct its governance toward socially responsible governance. The article begins with the definition of “theoretical backgrounds,” in which social responsibility in regard to company governance improvement in quality is explained. The article then focuses on the measurement of the quality of company governance; in the research, the selected tool chosen to evaluate the governance of the chosen company regarding social responsibility, i.e., SEECGAN index, is used. Further, the case study of a Slovenian public limited liability company is used. One of the important research findings is the recognition that the addressed part of the SEECGAN index needs to be innovated and further developed. Additional questions for the completion of the index used presents the added value of the article. This article has two limitations: 1) it focuses only on the tool chosen to evaluate the governance of the chosen company regarding social responsibility; 2) the case study is based on publicly accessible data.
‘Dark matter’ in the external sector of the United States

Abstract The aim of this paper is to examine the ‘dark matter’ assets in the external sector of the United States in the period 1999:Q1-2018:Q3. The paper investigates data on the balance of payments and international investment position for the US and a group of 18 economies. The research reveals that the US is a privileged economy with respect to foreign income on international investments. The rates of return on its foreign assets are relatively higher, and the costs incurred on its foreign liabilities relatively lower, as compared with the benchmark group. This special privilege of the US relates to equity investments, especially foreign direct investments. Based on prevailing income differentials substantial ‘dark matter’ assets of the US are estimated. Recognising such ‘dark matter’ leads to the conclusion that the US is a foreign creditor, not debtor. The findings shed light on the puzzle as to why the US has a continuing ability to sustain its external position despite mounting foreign liabilities.
“Subvurban” as an example of a serious game examining human behavior

Abstract Research regarding players’ behavior, choices they make, strategies they employ, and how they communicate with each other during the play is the subject of scientific interest for a long time. This calls for creation of tools that could be used during such a research. Given the increased involvement of serious games in scientific projects, usage of a serious game as a tool for gathering and analyzing a player’s behavioral pattern, appears to be a reasonable choice. This paper describes the development process of a serious game in the form of a two-player strategy, which uses subversive mechanics in order to encourage users to reinterpret their approach to conflict-cooperation strategies. Its further aim is to analyze data regarding players’ choices, gathered by the game, and contents of questionnaires filled by the players participating in the project.
Progress and Current Status of Influenza Researches in China

Abstract Influenza pandemics with different extent occur every year in the world. It can cause high morbidity and mortality, arouse fear panic in public, and attract extensive attention worldwide. This paper reviews the research progress in epidemiological characteristics, detection methods, pathogenesis, treatment and prophylactic measures of influenza in China. It will be helpful for us to understand the current situation of influenza.
Cooperative Adaptive Driving for Platooning Autonomous Self Driving Based on Edge Computing

Abstract Cooperative adaptive cruise control (CACC) for human and autonomous self-driving aims to achieve active safe driving that avoids vehicle accidents or traffic jam by exchanging the road traffic information (e.g., traffic flow, traffic density, velocity variation, etc.) among neighbor vehicles. However, in CACC, the butterfly effect is encountered while exhibiting asynchronous brakes that easily lead to backward shock-waves and are difficult to remove. Several critical issues should be addressed in CACC, including (i) difficulties with adaptive steering of the inter-vehicle distances among neighbor vehicles and the vehicle speed, (ii) the butterfly effect, (iii) unstable vehicle traffic flow, etc. To address the above issues in CACC, this paper proposes the mobile edge computing-based vehicular cloud of the cooperative adaptive driving (CAD) approach to avoid shock-waves efficiently in platoon driving. Numerical results demonstrate that the CAD approach outperforms the compared techniques in the number of shock-waves, average vehicle velocity, average travel time and time to collision (TTC). Additionally, the adaptive platoon length is determined according to the traffic information gathered from the global and local clouds.
Model Predictive Control Method to Reduce Common-Mode Voltage for Voltage Source Inverters

This paper presents a new model predictive control method without the effect of a weighting factor in order to reduce common-mode voltage (CMV) for a three-phase voltage source inverter (VSI). By utilizing two active states with same dwell time during a sampling period instead of one state used in conventional method, the proposed method can reduce the CMV of VSI without the weighting factor. Simulation is carried out to verify the effectiveness of the proposed predictive control method with the aid of PSIM software. Keywords— Model predictive control, common-mode voltage (CMV), voltage-source inverter (VSI).
Light-emitting metasurfaces

Abstract Photonic metasurfaces, that is, two-dimensional arrangements of designed plasmonic or dielectric resonant scatterers, have been established as a successful concept for controlling light fields at the nanoscale. While the majority of research so far has concentrated on passive metasurfaces, the direct integration of nanoscale emitters into the metasurface architecture offers unique opportunities ranging from fundamental investigations of complex light-matter interactions to the creation of flat sources of tailored light fields. While the integration of emitters in metasurfaces as well as many fundamental effects occurring in such structures were initially studied in the realm of nanoplasmonics, the field has recently gained significant momentum following the development of Mie-resonant dielectric metasurfaces. Because of their low absorption losses, additional possibilities for emitter integration, and compatibility with semiconductor-based light-emitting devices, all-dielectric systems are promising for highly efficient metasurface light sources. Furthermore, a flurry of new emission phenomena are expected based on their multipolar resonant response. This review reports on the state of the art of light-emitting metasurfaces, covering both plasmonic and all-dielectric systems.
Thermodynamics of primary antioxidant action of flavonols in polar solvents

Abstract Very recently, a report on the antioxidant activity of flavonoids has appeared, where authors concluded that Hydrogen Atom Transfer mechanism represents the thermodynamically preferred mechanism in polar media (https://doi.org/10.1016/j.foodres.2018.11.018). Unfortunately, serious errors in the theoretical part of the paper led to incorrect conclusions. For six flavonols (galangin, kaempferol, quercetin, morin, myricetin, and fisetin), reaction enthalpies related to three mechanisms of the primary antioxidant action were computed. Based on the obtained results, the role of intramolecular hydrogen bonds (IHB) in the thermodynamics of the antioxidant effect is presented. Calculations and the role of solvation enthalpies of proton and electron in the determination of thermodynamically preferred mechanism is also briefly explained and discussed. The obtained results are in accordance with published works considering the Sequential Proton-Loss Electron-Transfer thermodynamically preferred reaction pathway.
The Yo-Yo Intermittent Endurance Level 2 Test: Reliability of Performance Scores, Physiological Responses and Overload Characteristics in Competitive Soccer, Basketball and Volleyball Players

Abstract The purpose of this study was to evaluate the reliability and reproducibility of the physiological and overload features of the Yo-Yo intermittent endurance test level 2 (Yo-Yo IE2) in competitive male soccer (n = 20), basketball (n = 11), and volleyball players (n = 10). The participants completed Yo-Yo IE2 tests on three separate occasions with assessment of performance, heart rate, running speed, accelerations, decelerations and body load using GPS instrumentation. The intra-class correlation coefficient index, confidence intervals and coefficients of variation were calculated to assess the reliability of the test. Intra-class correlation coefficients for test-retest trials in the total sample ranged from large to nearly perfect (total distance: 0.896; mean speed: 0.535; maximum speed: 0.715; mean HR: 0.876; maximum HR: 0.866; body load: 0.865). The coefficients of variation for distance, mean speed, HR response, as well as acceleration and deceleration scores for test-retest trials ranged from 1.2 to 12.5% with no differences observed among particular sport disciplines. The CV for shuttles performed ranged from 4.4 to 5.5% in all sports. Similar results were obtained for the three different categories of players tested. These results suggest that the Yo-Yo IE2 test appears to be a reliable alternative for evaluating the ability to perform intermittent high-intensity running in different outdoor and indoor team sports. Players may need one or two familiarization tests to ensure valid assessment of intermittent endurance capacity. It appears that the Yo-Yo IE2 test incorporates accelerations and decelerations in a consistent and reproducible fashion.
The external bene fi ts of higher education

The external benefits of higher education. Regional Studies. The private-market benefits of education are widely studied at the micro-level, although the magnitude of their macroeconomic impact is disputed. However, there are additional benefits of education that are less well understood. In this paper the macroeconomic effects of external benefits of higher education are estimated using the ‘micro-to-macro’ simulation approach. Two types of externalities are explored: technology spillovers and productivity spillovers in the labour market. These links are illustrated and the results suggest they could be very large. However, this is qualified by the dearth of microeconomic evidence, for which the authors hope to encourage further work.
Antimicrobial activity of four essential oils extracted from plants commonly used in traditional medicine against some clinical strains

Summary Introduction: Recently, efforts regarding the discovery of the effectual components of plants possessing antimicrobial properties are advanced. Herbal essential oils are widely used for treatment of various diseases, and they play an important role in healthcare considerations. Objective: This study aims to evaluate the effectiveness of Cinnamomum verum, Eucalyptus globulus, Lavandula angustifolia and Mentha pulegium essential oils against Candida albicans and some pathogenic bacteria. Methods: The antibacterial activity of four essential oils (EOs) against different microbial strains was evaluated using the disk diffusion method as well as determination of the minimal inhibitory concentration (MIC), and bactericidal concentration (MBC). For Candida albicans, the MFC of the plant oils was determined using a macro broth dilution assay. A range of concentrations (50 to 0.2 mg/ml) were prepared in Mueller Hinton Broth medium in flasks. Tween 80 (0.01% v/v) was included to enhance oil solubility. Each flask was inoculated with 108 CFU/ml of C. albicans. The flasks were incubated at 35°C for 48 hours. From each flask 13 μl of culture was inoculated onto Mueller-Hinton Agar plates and incubated at 35°C for 48 h. The plates were observed and the MFC was determined as the lowest concentration of plant oil completely inhibiting the growth of C. albicans. Results: The obtained results showed that all bacteria and yeasts tested were sensitive to cinnamon essential oil with an inhibition zone ranging from 22 to 39.33 mm and a MIC ranging from 0.20 mg/ml to 1.56 mg/ml. At low concentrations ranging from 0.2 to 3.13 mg/ml, this essential oil has shown the most important bactericidal effect. Eucalyptus essential oil showed the highest inhibitory effect on Staphylococcus aureus with a diameter of 21.33±1.15 mm. The antibacterial effect of mint indicates that the most sensitive bacterium is A. boumannii. However, S. enteritidis, C. albicans, K. pneumoni and P. aeruginosa are resistant germs whose inhibition diameter varies from 7.33±1.15 mm to 11.33±1.15 mm. Lavender EO has an inhibitory effect against S. aureus (20.67±1.15 mm) and an intermediate effect against Streptococcus pyogenes, Serratia marcescens and Enterococcus faecalis. Conclusions: The antibacterial activity of essential oils, especially those of cinnamon against the strains studied, supports their potential use as a remedy against infectious microbial diseases.
Fdr And The News Media

Thank you very much for downloading fdr and the news media. As you may know, people have search hundreds times for their chosen readings like this fdr and the news media, but end up in malicious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they cope with some infectious virus inside their desktop computer. fdr and the news media is available in our digital library an online access to it is set as public so you can get it instantly. Our digital library spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the fdr and the news media is universally compatible with any devices to read.