Miracle-dz/UniFAR-FTUs huggingface dataset:
Analyzing Email Account Creation: Expectations vs Reality

Email is the most used mode of communication in the present era. Email account has now become our necessity. But question arises how efficient is our email service system? Is it efficient enough to trace out fake email accounts? In this paper, we focus on measuring the disparity between the desired and actual scenarios of creating a new email account. We present some deficiencies of the present email account creation system by any email service provider and discuss a previously unconsidered avenue by which a user can create any number of fake accounts without restriction. We present the results of our study on the most popular email service providers. We also outline our defense mechanisms to mitigate creation of fake email accounts and enhance security.
Grating-assisted superresolution of slow waves in Fourier space

We present a far-ﬁeld optical technique allowing measurements of the dispersion relation of electromagnetic ﬁelds propagating under the light cone in photonic nanostructures. It relies on the use of a one-dimensional grating to probe the evanescent tail of the guided ﬁeld in combination with a high-numerical-aperture Fourier- space imaging setup. A high-resolution spectroscopy of the far-ﬁeld emission diagram allows us to accurately and efﬁciently determine the dispersion curve and the group-index dispersion of planar photonic crystal waveguides operating in the slow-light regime.
Influence of flavomycin on microbial numbers, microbial metabolism and gut tissue protein turnover in the digestive tract of sheep

Flavomycin is an antibiotic that promotes growth in ruminant and non-ruminant livestock. The aim of this study was to determine the mechanism of action of flavomycin in sheep by measuring microbial numbers, microbial metabolism and gut tissue protein turnover at different sites in the digestive tract. Two weight-matched groups (n 5) of male castrate lambs (30 kg) received 800 g grass cubes/d for 6 weeks, with one group receiving 20 mg/d flavomycin during the last 2 weeks. Samples of digesta and gut tissue segments were obtained immediately post mortem, 90 min after a flood-dose of [ring-D5]phenylalanine. Viable bacterial counts and volatile fatty acid concentrations were highest in ruminal digesta, followed by the colon and caecum, then the duodenum and ileum. The only effect of flavomycin was an increased bacterial count in the rumen (3·5 v. 1·2×109 per g; P=0·04). Acetate was proportionally greater and propionate and butyrate were lower in the caecum and colon than the rumen. Flavomycin had no effect on volatile fatty acid proportions or ammonia concentrations. Bacteria growing on peptides as sole C source were not affected by flavomycin. Proteolytic, peptidolytic and amino acid deamination activities were similar in the rumen, caecum and colon; they tended to be lower in animals receiving flavomycin. Protein turnover in ruminal wall and duodenal tissues, measured by a flood-dose technique, decreased with flavomycin (P=0·075 and 0·027, respectively). Thus, flavomycin differs from ionophores in its mode of action. It may influence protein metabolism of both digesta and tissue throughout the ruminant digestive tract.
Feasibility of BCI Control in a Realistic Smart Home Environment

Smart homes have been an active area of research, however despite considerable investment, they are not yet a reality for end-users. Moreover, there are still accessibility challenges for the elderly or the disabled, two of the main potential targets for home automation. In this exploratory study we design a control mechanism for smart homes based on Brain Computer Interfaces (BCI) and apply it in the “Domus”1 smart home platform in order to evaluate the potential interest of users about BCIs at home. We enable users to control lighting, a TV set, a coffee machine and the shutters of the smart home. We evaluate the performance (accuracy, interaction time), usability and feasibility (USE questionnaire) on 12 healthy subjects and 2 disabled subjects. We find that healthy subjects achieve 77% task accuracy. However, disabled subjects achieved a better accuracy (81% compared to 77%).
Incomplete information and certain answers in general data models

While incomplete information is ubiquitous in all data models - especially in applications involving data translation or integration - our understanding of it is still not completely satisfactory. For example, even such a basic notion as certain answers for XML queries was only introduced recently, and in a way seemingly rather different from relational certain answers. The goal of this paper is to introduce a general approach to handling incompleteness, and to test its applicability in known data models such as relations and documents. The approach is based on representing degrees of incompleteness via semantics-based orderings on database objects. We use it to both obtain new results on incompleteness and to explain some previously observed phenomena. Specifically we show that certain answers for relational and XML queries are two instances of the same general concept; we describe structural properties behind the naive evaluation of queries; answer open questions on the existence of certain answers in the XML setting; and show that previously studied ordering-based approaches were only adequate for SQL's primitive view of nulls. We define a general setting that subsumes relations and documents to help us explain in a uniform way how to compute certain answers, and when good solutions can be found in data exchange. We also look at the complexity of common problems related to incompleteness, and generalize several results from relational and XML contexts.
PENGARUH CSR PT VALE INDONESIA TBK TERHADAP KESEJAHTERAAN MASYARAKAT SEKITAR KECAMATAN NUHA

Penelitian ini bertujuan untuk menguji pengaruh corporate social resonsibility (CSR) terhadap kesejahteraan masyarakat Kecamatan Nuha. Pendekatan yang digunakan dalam penelitian ini adalah dengan menggunakan pendekatan kualitatif. Data kualitatif yang diperoleh disini merupakan keseluruhan bahan, keterangan data fakta-fakta yang tidak dapat diukur dan dihitung secara eksak matematis, tetapi hanya berwujud keterangan naratif semata. Metode analisis data yang digunakan adalah analisis regresi dengan tiga model. Hasil penelitian menunjukkan bahwa CSR PT Vale Indonesia Tbk berpengaruh signifikan terhadap tingkat pendidikan dan tingkat pendapatan kelompok tani di Kecamatan Nuha, tapi tidak berpengaruh signifikan terhadap tingkat kesehatan masyarakat. Model 1 kontribusi dana CSR pada bidang pendidikan sebesar 71,6 dan model 3 memberikan kontribusi dana CSR pada bidang pertanian di kecamatan Nuha sebesar 93.7%. Sedangkan model 3 menunjukkan bahwa CSR tidak berpengaruh signifikan terhadap kesejahteraan masyarakat yang diproksikan dengan tingkat kesehatan.
Feature Extraction Using Wavelet Transform for Radar Emitter Signals

In this paper, an approach for intra-pulse feature extraction of radar emitter signals is proposed based on wavelet transform. On the basis of the multi-resolution characteristics of wavelet transform, two energy entropies, as a two-dimensional feature vector to reveal the difference of radar modulation signals, are respectively extracted from approximation coefficient and multi-scale detail coefficients preserved through inter-scale correlations denoise in wavelet transform domain. In order to demonstrate the effectiveness and feasibility of the proposed approach, computer simulations indicates that the entropy features of ten typical radar emitter signals extracted by wavelet transform have good performance of clustering and suppressing noise when SNR is 0dB. In addition, proposed approach can separate the same modulation signals with different parameters.
Temporally Anchoring and Ordering Events in News

This paper describes a domain-independent approach to temporally anchoring and ordering events in news. The focus is on event-event and event-time linking. The approach involves mixed-initiative corpus annotation, with automatic preprocessing to identify clause structure, tense, aspect, and temporal adverbials. A controlled experiment reveals the capabilities of humans in ordering events in news. The paper then develops and evaluates two different approaches to machine learning of ordering information: learning from event-event ordering judgments, and learning from event-time anchoring judgments.
The Effects of Gender in Violent Video Games

Adverse effects of video game violence have been well documented in psychology research for decades. As technology advances, violence depicted in games becomes more realistic and features more diverse types of aggression. A new trend in violent games is the depiction of women as sexualized targets of violence. Research suggests that exposure to sexual content and violence in games can be harmful to both male and female players, but no studies to date have looked at specific differences in outcomes based on the victim’s gender in a violent game. The present study examines how opponents’ gendered appearance in a violent video game affects players’ implicit attitudes related to gender and gender violence. By having 235 undergraduates play a game fighting either male or female opponents, I found that women who fought female opponents expressed more negative implicit attitudes toward women. INDEX WORDS: Video games, Violence, Violence against women, Sexual Violence, Aggression, Desensitization THE EFFECTS OF GENDER IN VIOLENT VIDEO GAMES
Multiple Secret Key Sharing Based on the Network Coding Technique for an Open Cloud DRM Service Provider

In this paper, we present an open cloud DRM service provider to protect the digital content's copyright. The proposed architecture enables the service providers to use an on-the fly DRM technique with digital signature and symmetric-key encryption. Unlike other similar works, our system does not keep the encrypted digital content but lets the content creators do so in their own cloud storage. Moreover, the key used for symmetric encryption are managed in an extremely secure way by means of the key fission engine and the key fusion engine. The ideas behind the two engines are taken from the works in secure network coding and secret sharing. Although the use of secret sharing and secure network coding for the storage of digital content is proposed in some other works, this paper is the first one employing those ideas only for key management while letting the content be stored in the owner's cloud storage. In addition, we implement an Android SDK for e-Book readers to be compatible with our proposed open cloud DRM service provider. The experimental results demonstrate that our proposal is feasible for the real e-Book market, especially for individual businesses.
Four-modulus 'Swiss Cheese' chiral models

We study the `Large Volume Scenario' on explicit, new, compact, four-modulus Calabi-Yau manifolds. We pay special attention to the chirality problem pointed out by Blumenhagen, Moster and Plauschinn. Namely, we thoroughly analyze the possibility of generating neutral, non-perturbative superpotentials from Euclidean D3-branes in the presence of chirally intersecting D7-branes. We find that taking proper account of the Freed-Witten anomaly on non-spin cycles and of the K? hler cone conditions imposes severe constraints on the models. Nevertheless, we are able to create setups where the constraints are solved, and up to three moduli are stabilized.
Improved Growth of Lactobacillus bulgaricus and Streptococcus thermophilus as well as Increased Antioxidant Activity by Biotransforming Litchi Pericarp Polysaccharide with Aspergillus awamori

This study was conducted to increase the bioactivity of litchi pericarp polysaccharides (LPPs) biotransformed by Aspergillus awamori. Compared to the non-A. awamori-fermented LPP, the growth effects of A. awamori-fermented LPP on Lactobacillus bulgaricus and Streptococcus thermophilus were four and two times higher after 3 days of fermentation, respectively. Increased 1,1-diphenyl-2-picrylhydrazyl radical scavenging activity and DNA protection activity of litchi pericarp polysaccharides were also achieved after A. awamori fermentation. Moreover, the relative content of glucose and arabinose in LPP after fermentation decreased from 58.82% to 22.60% and from 18.82% to 10.09%, respectively, with a concomitant increase in the relative contents of galactose, rhamnose, xylose, and mannose. Furthermore, lower molecular weight polysaccharides were obtained after A. awamori fermentation. It can be concluded that A. awamori was effective in biotransforming LPP into a bioactive mixture with lower molecular weight polysaccharides and higher antioxidant activity and relative galactose content.
Inhibition of Survivin Reduces HIF-1α, TGF-β1 and TFE3 in Salivary Adenoid Cystic Carcinoma

In the present study, we explored the expression and correlation of survivin with HIF-1α, TGF-β1 and TFE3 in adenoid cystic carcinoma (AdCC). The expression of survivin, HIF-1α, TGF-β1 and TFE3 was assessed by immunohistochemical staining of a tissue microarray containing tissue samples of normal salivary gland (NSG), pleomorphic adenoma (PA) and AdCC. Correlation analysis of these proteins revealed that increased survivin expression was associated with the overexpression of HIF-1α (P<0.001, r = 0.5599), TGF-β1 (P<0.001, r = 0.6616) and TFE3 (P<0.001, r = 0.7747). The expression of survivin, HIF-1α, TGF-β1 and TFE3 was not correlated with the pathological type of human AdCC (P>0.05). Selective inhibition of survivin by YM155 and siRNA significantly reduced human SACC-83 cell proliferation, with the corresponding decrease in expression of HIF-1α, TGF-β1 and TFE3. The data indicate that the overexpression of survivin in AdCC is related to HIF-1α, TGF-β1 and TFE3. We hypothesize from these findings that the inhibition of survivin may be a novel strategy for neoadjuvant chemotherapeutic and radiosensitive treatment of AdCC.
Characterizing video access patterns in mainstream media portals

Watching online videos is part of the daily routine of a considerable fraction of Internet users nowadays. Understanding the patterns of access to these videos is paramount for improving the capacity planning for video providers, the conversion rate for advertisers, and the relevance of the whole online video watching experience for end users. While much research has been conducted to analyze video access patterns in user-generated content (UGC), little is known of how such patterns manifest in mainstream media (MSM) portals. In this paper, we perform the first large-scale analysis of video access patterns in MSM portals. As a case study, we analyze interaction logs across a total of 38 Brazilian MSM portals, including six of the largest portals in the country, over a period of eight weeks. Our analysis reveals interesting static and temporal video access patterns in MSM portals, which we compare and contrast to the access patterns reported for UGC websites. Overall, our analysis provides several insights for an improved understanding of video access on the Internet beyond UGC websites.
Factor Validation of the Staff Perceptions of Behavior and Discipline (SPBD) Survey

The implementation of schoolwide positive behavior interventions and supports (SWPBIS) requires a shift from a reliance on reactionary discipline to prevention-oriented supports, and it requires that staff adopt and regularly apply the practices throughout the building. This level of systemic change in staff thinking and practice is challenging to achieve and sustain, but data can assist teams in navigating the process. The Staff Perceptions of Behavior and Discipline (SPBD) is a needs assessment survey developed to measure staff beliefs, needs, and concerns for discipline and behavioral support practices. This tool can help teams make data-informed decisions, and target professional development to fit the needs and concerns of staff in their building. This study reexamines the internal consistency and factor structure of the SPBD using an expanded data set of 147 schools, including elementary, middle, and high schools across several geographic regions in the United States. The results corroborate the SPBD’s existing factor structure over alternative factor structures and support the internal consistency of each subscale. Implications for practice and future research are provided.
A telemetry modeling for intelligent UAV monitoring

An Unmanned Aerial Vehicle, UAV for short, is able to fly autonomously during all phases of flight, but has to be monitored from an operator station. In this article a better avionic system is proposed to optimize this process reducing the channel usage without quality degradation. The information related to the aircraft position is called telemetry. This early avionic system is tested in the longitudinal mode of a high wing model unmanned aircraft system in an open source flight simulator.
Impact of Visceral Adiposity Measured by Abdominal Computed Tomography on Pulmonary Function

Although an inverse relationship between abdominal adiposity and pulmonary function has been suggested, direct measurement of abdominal adipose tissue has rarely been attempted. Our object is to determine the impact of abdominal adiposity on pulmonary function by directly measuring abdominal adipose tissue with abdominal computed tomography (CT). In this cross-sectional study, we included never-smokers between the ages of 18 and 85 yr, who had undergone spirometry and abdominal adipose tissue analysis with CT scans during November 1, 2005 to October 31, 2009 as part of the comprehensive health examination. Among a total of 3,469 participants, 890 (25.7%) were male. The mean body mass index and waist circumference among males and females were 24.6 kg/m2 and 87.8 cm and 23.0 kg/m2 and 83.0 cm, respectively. Although total adipose tissue (TAT) of the abdomen in males (269.1 cm2) was similar to that in females (273.6 cm2), the ratio of visceral adipose tissue (VAT)/subcutaneous adipose tissue (SAT) was different; 0.99 in males and 0.50 in females. In males, TAT, SAT, and VAT were inversely associated with the absolute value of forced vital capacity (FVC), and TAT and VAT were inversely associated with forced expiratory volume in one second (FEV1). However, in females, TAT and VAT, but not SAT, were inversely associated with absolute FVC and FEV1 values. In conclusion, the amount of abdominal adipose tissue directly measured using CT is inversely associated with lung function.
Viewpoints on Medical Image Processing: From Science to Application

Medical image processing provides core innovation for medical imaging. This paper is focused on recent developments from science to applications analyzing the past fifteen years of history of the proceedings of the German annual meeting on medical image processing (BVM). Furthermore, some members of the program committee present their personal points of views: (i) multi-modality for imaging and diagnosis, (ii) analysis of diffusion-weighted imaging, (iii) model-based image analysis, (iv) registration of section images, (v) from images to information in digital endoscopy, and (vi) virtual reality and robotics. Medical imaging and medical image computing is seen as field of rapid development with clear trends to integrated applications in diagnostics, treatment planning and treatment.
Discovery and monitoring of the likely IR counterpart of SGR 1806–20 during the 2004 γ-ray burst-active state

The sky region including the Chandra position of SGR 1806-20 was monitored in the IR band during 2004, following its increased high energy bursting activity. Observations were performed using NAOS-CONICA, the adaptive optics IR camera mounted on Yepun VLT, which provided images of unprecedented quality (FWHM better than 0.1). After the 2004 December 27th giant flare, the source position has been nailed by VLA observations of its radio counterpart, reducing the positional uncertainty to 0.04. Using IR data from our monitoring campaign, we discovered the likely IR counterpart to SGR 1806-20 based on positional coincidence with the Chandra and VLA uncertainty regions and flux variability of a factor of about 2 correlated with that at higher energies. We compare our findings with other isolated neutron star classes thought to be related, at some level, with SGRs.
Experimentally validated and automatically generated multi-energy domain coupled model of a RF-MEMS switch

We present a computationally efficient multi-energy domain coupled system-level model of an electrostatically actuated RF-MEMS switch exposed to squeeze film damping. The physically-based model is systematically derived and calibrated on the basis of a hierarchical modeling approach. The model shows excellent agreement with both static and dynamic measurements performed with a white light interferometer. Especially coupling effects, that are the increased damping and the spring softening whilst actuation, are correctly reproduced by the model. This demonstrates the power of our modeling approach and, in particular, the predictiveness w.r. t. “real world” experiments. Furthermore, the automatically generated model is suitable for direct implementation into standard EDA tools for IC's, like Cadence™ and Mentor Graphics®.
Overlapping group lasso for high-dimensional generalized linear models

Abstract Structured sparsity has recently been a very popular technique to deal with the high-dimensional data. In this paper, we mainly focus on the theoretical problems for the overlapping group structure of generalized linear models (GLMs). Although the overlapping group lasso method for GLMs has been widely applied in some applications, the theoretical properties about it are still unknown. Under some general conditions, we presents the oracle inequalities for the estimation and prediction error of overlapping group Lasso method in the generalized linear model setting. Then, we apply these results to the so-called Logistic and Poisson regression models. It is shown that the results of the Lasso and group Lasso procedures for GLMs can be recovered by specifying the group structures in our proposed method. The effect of overlap and the performance of variable selection of our proposed method are both studied by numerical simulations. Finally, we apply our proposed method to two gene expression data sets: the p53 data and the lung cancer data.
“Can you really trust that seed?”: Reducing the impact of seed noise in personalized PageRank

Network based recommendation systems leverage the topology of the underlying graph and the current user context to rank objects in the database. Random-walk based techniques, such as PageRank, encode the structure of the graph in the form of a transition matrix of a stochastic process from which the significances of the nodes in the graph are inferred. Personalized PageRank (PPR) techniques complement this with a seed node set which serves as the personalization context. In this paper, we note (and experimentally show) that PPR algorithms that do not differentiate among the seed nodes may not properly rank nodes in situations where the seed set is incomplete and/or noisy. To tackle this problem, we propose alternative robust personalized PageRank (RPR) strategies, which are insensitive to noise in the set of seed nodes and in which the rankings are not overly biased towards the seed nodes. In particular, we show that novel teleportation discounting and seed-set maximal PPR techniques help eliminate harmful bias of individual seed nodes and provide effective seed differentiation to lead to more accurate rankings.