Miracle-dz/UniFAR-FTUs huggingface dataset:
An Analysis of Pay-per-install Economics Using Entity Graphs

Potentially unwanted programs (PUP) are a category of undesirable software which includes adware and rogueware. PUP is often distributed through commercial pay-per-install (PPI) services. In this work we perform what we believe is the first analysis of the economics of commercial PPI services. To enable the economic analysis, we propose a novel attribution approach using entity graphs that capture the network of companies and persons behind a PUP operation, e.g., a commercial PPI service or a set of PUP. We analyze 3 Spain-based operations. Each operation runs a commercial PPI service, develops PUP, and manages download portals. For each operation, we collect financial statements submitted by the companies and audit reports when available. This data allows us to analyze not only the operation revenues, but also their profits (and losses), which can widely differ from revenues depending on operational costs. Our analysis answers 6 main questions. (1) How profitable are the commercial PPI services and the operations running them? We measure that the three operations have a total revenue of 202.5Me, net income (i.e., profits) of 23M e, and EBITDA of 24.7M e. Overall, expenses are high and margins low. (2) What are the revenue sources of the operations? The largest source of revenue is the PPI service, which provides up to 90% of an operation’s revenue. But, we also observe the operations to draw revenue from advertising, download portals, PUP, and streaming services. (3) How has the PPI business evolved over time? Peak revenue and net income happened in 2013 and there was a sharp decrease starting mid-2014 when different vendors deployed new defenses that significantly impacted the PPI market, which did not recover afterwards. (4) How many companies are involved in an operation? We find that each operation runs from 15 up to 32 companies, but most of them are shell companies. (5) How many persons are involved in an operation? We find that a small number of 1–6 persons manage each operation. (6) How long have the operations been active? Operations start as early as 2003, but the PPI services do not operate until 2010–2011.
Neural Optimizers with Hypergradients for Tuning Parameter-Wise Learning Rates

Recent studies show that LSTM-based neural optimizers are competitive with state-of-theart hand-designed optimization methods for short horizons. Existing neural optimizers learn how to update the optimizee parameters, namely, predicting the product of learning rates and gradients directly and we suspect it is the reason why the training task becomes unnecessarily difficult. Instead, we train a neural optimizer to only control the learning rates of another optimizer using gradients of the training loss with respect to the learning rates. Furthermore, with the assumption that learning rates tend to remain unchanged over a certain number of iterations, the neural optimizer is only allowed to propose learning rates every S iterations where the learning rates are fixed during these S iterations and this enables it to generalize to longer horizons. The optimizee is trained by Adam on MNIST, and our neural optimizer learns to tune the learning rates for the Adam. After 5 meta-iterations, another optimizee trained by Adam whose learning rates are tuned by the learned but frozen neural optimizer, outperforms those trained by existing hand-designed and learned neural optimizers in terms of convergence rate and final accuracy for long horizons across several datasets.
Sexual Satisfaction and Function in Postmenopausal Women Treated with Herbal Medicines: A Review of Clinical Trials

Background: It is widely accepted that lower levels of sexual satisfaction and function are among the common problems in postmenopausal women. Several studies have examined the effect of plants containing phytoestrogens for the prevention and treatment of menopause complications. Aim: The main purpose of this study was to investigate the effect of medicinal plants on the sexual satisfaction and function of postmenopausal women. Method: Related English and Persian articles published between 2000 and December 2018 were searched through the databases of Iran Medex, PubMed, EMBASE, Scopus, and Science Direct. The articles were searched using the keyword of "menopause" through Boolean Operators of AND and OR with keywords of "sexual satisfaction", "sexual function", "herbal supplement", "Review Study in English and Persian ". Results: Of the 87 searched articles, 20 articles were ultimately analyzed with a sample size of 1555 people. Plants of Bindii, Fenugreek, Fennel, Liquorice, Pueraria Mirifica, Ginseng, Red clover, and Aphrodit had positive effects on dyspareunia, as well as sexual satisfaction and function. Date pollen did not affect sexual satisfaction; moreover, Ginkgo biloba capsule had no effect on dyspareunia and sexual satisfaction. Implications for Practice: Medicinal herbs containing phytoestrogens can be considered as a selective treatment for the improvement of dyspareunia and enhancement of the sexual satisfaction and function of postmenopausal women. However, due to the variety of herbs containing phytoestrogens, further studies are needed to determine the effective dose and effects as well as their possible complications.
Presentations Program in Molecular Medicine 2019-06-07 BarkBase : Epigenomic Annotation of Canine Genomes

Dogs are an unparalleled natural model for investigating the genetics of health and disease, particularly for complex diseases like cancer. Comprehensive genomic annotation of regulatory elements active in healthy canine tissues is crucial both for identifying candidate causal variants and for designing functional studies needed to translate genetic associations into disease insight. Currently, canine geneticists rely primarily on annotations of the human or mouse genome that have been remapped to dog, an approach that misses dog-specific features. Here, we describe BarkBase, a canine epigenomic resource available at barkbase.org. BarkBase hosts data for 27 adult tissue types, with biological replicates, and for one sample of up to five tissues sampled at each of four carefully staged embryonic time points. RNA sequencing is complemented with whole genome sequencing and with assay for transposase-accessible chromatin using sequencing (ATAC-seq), which identifies open chromatin regions. By including replicates, we can more confidently discern tissue-specific transcripts and assess differential gene expression between tissues and timepoints. By offering data in easy-to-use file formats, through a visual browser modeled on similar genomic resources for human, BarkBase introduces a powerful new resource to support comparative studies in dogs and humans. Genes 2019, 10, 433; doi:10.3390/genes10060433 www.mdpi. com/journal/genes Genes 2019, 10, 433 2 of 28
DESIGN OF A BROADBAND CIRCULARLY POLARIZED ANTENNA ARRAY

A broadband circularly polarized antenna array is proposed in this paper. The array consists of four sequentially rotated feed groove-backed strip antennas. Compact size (46mm×46mm×1.6mm), wide impedance bandwidth (4.62–9.92 GHz), and wide 3 dB axial ratio bandwidth (4.48–8.52 GHz) can be observed. The measured peak gain is 7.5 dBi at 8.2 GHz, and good agreement between the simulated and measured results can be achieved.
CREATION OF A REAL PRODUCTION SYSTEM IN VIRTUAL REALITY

Current requirements which are connected with designing new, or realizing the existing production systems, cause continuous and rapid changes in products and processes. This means that classical approaches of production systems design have to be extended by advanced technologies and methods, such as digital factory, virtual and augmented reality, computer simulation, reverse engineering, etc. The article describes new computer technologies, which were applied in production practice, with a particular focus on the augmented reality technology.
Classification of fetal abnormalities based on CTG signal

The fetal heart rate (FHR) signal processing based on Artificial Neural Networks (ANN),Fuzzy Logic (FL) and frequency domain Discrete Wavelet Transform(DWT) were analysis in order to perform automatic analysis using personal computers. Cardiotocography (CTG) is a primary biophysical method of fetal monitoring. The assessment of the printed CTG traces was based on the visual analysis of patterns that describing the variability of fetal heart rate signal. Fetal heart rate data of pregnant women with pregnancy between 38 and 40 weeks of gestation were studied. The first stage in the system was to convert the cardiotocograghy (CTG) tracing in to digital series so that the system can be analyzed ,while the second stage ,the FHR time series was transformed using transform domains Discrete Wavelet Transform(DWT) in order to obtain the system features . At the last stage the approximation coefficients result from the Discrete Wavelet Transform were fed to the Artificial Neural Networks and to the Fuzzy Logic, then compared between two results to obtain the best for classifying fetal heart rate.
MAMMI Phase 3 – Exploring C ollaborative Wo rkspaces for Air Traffic Controllers in the S cope of SESAR

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. MAMMI Phase 3 Exploring collaborative workspaces for air traffic controllers in the scope of SESAR Stéphane Valès, Carole Dupré, Hélène Gaspard-Boulinc, Stéphane Conversy, Claire Ollagnon, Vincent Peyruquéou, Joel Viala
FOLDAWAY DroneSense, a controller for haptic information encoding for drone pilots

Over the last decade, the number of drones has significantly increased. In parallel, researchers have started to investigate new human-drone interaction paradigms for a more natural and immersive piloting experience. The use of haptic feedback to establish a bidirectional interaction with a remote drone is a promising yet not fully exploited paradigm. In this article we introduce FOLDAWAY DroneSense, a portable controller with multi-directional force feedback for drone piloting. We also discuss four haptic interaction paradigms with the aim of boosting immersion and safety during teleoperation, and to simplify the training of first-time users. This paper is published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license. Authors reserve their rights to disseminate the work on their personal and corporate Web sites with the appropriate attribution. iHDI ’19 International workshop on Human-Drone Interaction, CHI ’19 Extended Abstracts, May 5, 2019, Glasgow, Scotland, UK http:// hdi.famnit. upr.si ©2019 Creative Commons CC-BY 4.0 License. FOLDAWAY DroneSense HDI ’19, May 5, 2019, Glasgow, Scotland, UK, http://hdi.famnit. upr.si
Prevalence of Salmonella and Shigella species in Chicken Eggs from Poultry Farms in Owerri , Nigeria

Salmonella and Shigella contamination of eggs and egg shells has been identified as a public health concern worldwide. A recent shift in consumer preferences has impacted on the egg industry, with a push for cage-free egg production methods. There has also been an increased desire from consumers for raw unprocessed foods, potentially increasing the risk of salmonellosis and shigellosis. The present study was conducted to determine the prevalence of Salmonella and Shigella in chicken eggs from different poultry farms in Owerri, Imo state. Egg shell and egg content of 360 eggs were examined for Salmonella and Shigella using cultural method on Salmonella-Shigella agar. The bacterial isolates were identified using colony morphology, Gram staining technique and biochemical tests. Data were analyzed using Analysis of Variance (ANOVA) at 5% significance level. Of a total of 360 samples screened, 37 samples were contaminated with Salmonella species and comprised of 24 (6.67%) egg shell samples and 13 (3.61%) egg content samples while 21 samples were contaminated with Shigella species and comprised of 15 (4.17%) egg shell samples and 6 (1.66%) egg content samples. The overall prevalence of Salmonella in egg shells and contents was 37 (10.28%) while that of Shigella in egg shells and contents was 21 (5.83%). The results of this study indicated that egg shell contamination with fecal material was significantly higher than that of egg contents. Contamination of eggs by Salmonella and Shigella species reported in this study may cause an outbreak of food-borne disease in the study area due to eating raw eggs or its products.
Influence of Gender Differences on Youth Participation in Agriculture in Kajiado North Sub County, Kenya

Agriculture in Kenya can develop gainful employment opportunities for youth that would enable them exploit their economic innovation and enhance equal opportunity for male and female youth in agricultural value chain development for national economic growth. Thus, improving youth participation in the agricultural sector pertinent for the nation to develop. Youth’s interest in agriculture is however likely to be positively related to their gender differences in terms of acquisition of resources, support and encouragement necessary for enhanced participation. The difference between male and female youth in their level of participation in agriculture in Kajiado North SubCounty was poorly understood and hence the need for this study, which used a cross-sectional design to collect data from 397 randomly, selected youth and 22 youth and agricultural officers. Content validity of the youth and agricultural officers’ questionnaires was ascertained by extension experts while reliability was determined through a pilot test involving 30 respondents. The reliability coefficient were 0. 86α and 0. 80α respectively, which were above the 0.70 threshold for acceptable reliability. The study showed that there is statistically significant difference between the male and female youth in their level of participation in agriculture in the study area (t=3.425, df 395, p=.001). The study indicated that female youth who took part in agriculture were more than male youth. However, the level of participation by the male youth in terms of number of agricultural activities they undertook was higher than that of the female youth and the difference was significant. It also showed that gender difference influenced their participation in agriculture with since male youth indicated higher level of participation with 23.7% female youth having inadequate access to land , 22.2% had inadequate collaterals while 23.9% had limited access to markets for agricultural produce.
A review of wrist pulse analysis

In present scenario, the human health condition is being diagnosed by various advanced sophisticated equipments. Moreover, the process of diagnosis is becoming expensive and painful. In ancient Indian Ayurveda and Traditional Chinese Medicine (TCM), wrist pulse was used to diagnose the health status of the subject and to envision the root cause of a disease. According to Ayurveda, a person’s health status depends on three essential components and the imbalance of a component is the symptom of a disease. Practitioner determines the unhealthiness of a subject, based on the wrist pulse parameters such as pulse strength, amplitude shape, vega, rhythm, pulse width and transition period. Evaluation of the vital information of the components depends exclusively upon the perception of the practitioner and varies from practitioner to practitioner based on his/her expertise or experience. No modern technique can determine the pathological condition of a subject. The paper presents a review of wrist pulse parameters for diseases like diabetics, hypertension, gastritis, etc.
The regime-dependent adjustment in energy spot and futures markets – a smooth transition approach

This paper analyzes the relationship between spot a nd futures prices for energy commodities from a new perspective. Based on data from the Dow J nes UBS Commodity Index, we first test for a long-run relationship between spot and f utures prices. As a second step, smooth transition models are fitted to examine whether the adjustment of spot returns to the forward premium follows a nonlinear path. Although the find ings show that the informational content of futures prices varies between different commodit ies, a similar pattern arises for all of them: The predictive power of futures prices can only be o served if previous volatility or basis has been low while no relationship occurs if both have be n high previously. JEL codes: G13, G14, Q43
SECURING MOBILE CONTROL SYSTEM DEVICES : DEVELOPMENT AND TESTING

Recent advances in portable devices allow end users convenient ways to access data over the network. Networked control systems have traditionally been kept on local or internal networks to prevent external threats and isolate traffic. The UMWC Clinical Neutron Therapy System has its control system on such an isolated network. Engineers have been updating the control system with EPICS, and have developed EDM-based interfaces for control and monitoring. This project describes a tablet-based monitoring device being developed to allow the engineers to monitor the system, while, e.g. moving from rack to rack, or room to room. EDM is being made available via the tablet. Methods to maintain security of the control system and tablet, while providing ease of access and meaningful data for management are being created. In parallel with the tablet development, security and penetration tests are also being produced.
LOCATIONAL PREFERENCES AND TRANSPORTATION MODE CHOICE OF DIFFERENT SOCIO-ECONOMIC GROUPS IN THE US : A space syntax included case study of two gridded and two non-gridded cities

It is well understood that transport mode choice is effected by journey-distance and journeytime (Plaut 2005; Pucher and Dijkstra 2003; Schwanen and Mokhtarian 2005; Wardman, Tight, and Page 2007) We also know that configurational attributes effect the locations of retail and commercial activities (Hillier et al. 1993), and these in-turn influence residential location choices. Finally, specific socio-demographic groups have different preferences regarding their choices of transportation. The research reported in this paper sought to investigate whether configuration, along with other planning variables, have a role on transportation mode choice. Since the regularity or deformity of urban grid may have an effect on Space Syntax analysis (Ratti 2004a, 2004b, 2005), two gridded and two non-gridded US cities were chosen. For this investigation seven land use variables, ten socio-economic and demographic variables, and three transportation variables in addition to six traditional Space Syntax variables were collected and used. Data were assembled from online open source databases of the respective cities and the US census bureau. Space Syntax topological and angular analysis of CAD drawn axial lines and street centerlines extracted from GIS maps were performed. ArcGIS spatial analysis tools were applied to combine land use, socio-economic & demographic, transportation and Space Syntax variables to the scale of census block-groups that was selected as the study unit. Several multiple regression and linear regression analyses indicated that renters and non-family households are configurationally separated from homeowners and family households: the former locating themselves in integrated areas where businesses are located. Homeowners and family households prefer segregated areas and tend to drive to work. The results also indicated a definite role of city layouts. One important variation observed in our comparative analysis between gridded and non-gridded cities was that choice was an important indicator for gridded cities while integration was for non-gridded ones. Although the reason for this is speculative at this point, this distinction will serve as an important beginning for future investigations and understanding the particular syntactic properties of gridded American cities.
Vehicle Re-Identification with Location and Time Stamps

This paper focuses on the problem of vehicle reidentification (Re-ID). In our attempt, we propose a reidentification framework by exploiting vehicle location and time stamps. The location and time information have the potential to cover the shortage of appearance-based feature representations. First, we introduce an ensemble technique to combine the informative cues of multiple Re-ID models effectively. To further improve the accuracy, we then build up a system to acquire the vehicle location and time stamps. Specifically, we utilize the detected results to obtain the needed information. With the help of the proposed system, we can remove irrelevant images from a given ranking list. Our system finished 3 place in the 2019 AI-City challenge for city-scale multi-camera vehicle re-identification.
Depression , Anxiety , and Stress : How should clinicians interpret the total and subscale scores of the 21-item Depression , Anxiety , and Stress Scales ( DASS-21 ) ?

The 21-item Depression, Anxiety, and Stress Scales (DASS-21) is a self-report measure that is easy to administer, quick to score, and is freely available. Widely used in diverse settings and populations, confirmatory factor analytic evidence has accumulated for a bifactor model underlying this multidimensional measure. Studies employing an exploratory bifactor approach to more closely examine its underlying structure and inter-relations of factors, however, have been scarce. This is unfortunate because confirmatory techniques often employ indirect ways of handling model misspecification, whereas exploratory methods enable more direct approaches. Moreover, more precise approaches to modeling an exploratory bifactor structure have not been examined with the DASS-21. Based on several large samples of undergraduate students in the United States, the first two parts of the paper (Studies 1 and 2) utilized both exploratory (M = 19.7 years of age) and confirmatory factor analytic methods (M = 19.7 years of age) following those presented by contemporary multidimensional modeling theorists. Building upon these results, the third part of the paper (Study 3; M = 20.0 years of age) examined sensitivity/specificity-related indices to provide cut-off score recommendations for a revised DASS-21 instrument based on a newly-identified and supported bifactor structure. Implications of these results are discussed in terms of taxonomy, challenges inherent in multidimensional modeling, and potential use of the revised DASS-21 measure as a component of an actuarial decisionmaking strategy to inform clinical referrals.
The emerging field of bioelectronic medicine seeks methods for deciphering and modulating electrophysiological activity

Dongjin Seo,1,4 Ryan M. Neely,2,4 Konlin Shen,1 Utkarsh Singhal,1 Elad Alon,1 Jan M. Rabaey,1 Jose M. Carmena,1,2,3,5,* and Michel M. Maharbiz1,3,5,* 1Department of Electrical Engineering and Computer Sciences 2Helen Wills Neuroscience Institute 3UCB/UCSF Joint Graduate Program in Bioengineering University of California, Berkeley, Berkeley, CA 94720, USA 4Co-first author 5Co-senior author *Correspondence: jcarmena@berkeley.edu (J.M.C.), maharbiz@berkeley.edu (M.M.M.) http://dx.doi. org/10.1016/j.neuron. 2016.06. 034