Miracle-dz/UniFAR-FTUs huggingface dataset:
Convergence Analysis of a Distributed CSMA Algorithm for Maximal Throughput in a General Class of Networks

Abstract —In [1], [2], we proposed a family of distributedscheduling and rate control algorithms to achieve the maximalthroughput in a general class of networks with interferenceconstraints, as well as approaching the optimal fairness amongdifferent data ﬂows. These algorithms were inspired by CSMA(Carrier Sense Multiple Access). In this paper, we analyze andprove the convergence of such a scheduling algorithm and thequeue stability it guarantees, with properly-chosen step sizes andadjustment periods. Convergence of other algorithms in [1], [2]can be proved similarly. I. B ASIC M ODEL AND P ROBLEM STATEMENT For completeness, we ﬁrst describe the basic model andproblem setup as in [2]. A. Network Interference Model Assume there are K links in the network, where each link is an (ordered) transmitter-receiver pair. The network is asso-ciated with a link contention graph (or “LCG”) G = {V,E},where V is the set of vertexes (each of them represents alink) and E is the set of edges. Two links cannot transmitat the same time (i.e., “conﬂict”) if and only if there is anedge between them. This is a very general interference modelthat can be applied to a general class of networks, includingwireless networks and stochastic processing networks (SPN)[3]. Assume that G has N different Independent Sets (“IS”, notconﬁned to “Maximal Independent Sets”). Denote the i’th ISas x
Novel zero-voltage and zero-current-switching full-bridge PWM converter using a simple auxiliary circuit

A novel zero-voltage and zero-current-switching (ZVZCS) full-bridge pulsewidth modulation converter is presented to simplify the circuits of the previously presented ZVSCS converters. A simple auxiliary circuit, which consists of one small capacitor and two small diodes, is added in the secondary to provide ZVZCS conditions to primary switches, as well as to clamp secondary rectifier voltage. The additional clamp circuit for the secondary rectifier is not necessary. The auxiliary circuit includes neither lossy components nor additional active switches, which makes the proposed converter efficient and cost effective. The principle of operation, features, and design considerations are illustrated and verified on a 2.5 kW 100 kHz insulated-gate-bipolar-transistor-based experimental circuit.
Advanced video surveillance with pan tilt zoom cameras

In this paper an advanced video surveillance system is proposed. Our goal is the detection of the people’s heads to allow their obscuration for privacy issues or to perform recognition tasks. We propose a system based on active PTZ (Pan-Tilt-Zoom) cameras that produce head images having a large enough size, and can cover an area larger than still cameras. Since conventional approaches are not suitable to PTZ cameras, the proposed approach is based on the socalled direction histograms to compute the ego-motion and on frame differencing for detecting moving objects. It exploits post-processing and active contours to extract precise shape of moving objects to be fed to a probabilistic algorithm to track moving people in the scene. Person following, instead, is based on simple heuristic rules that move the camera as soon as the selected person is close to the border of the field of view. Finally, a color and shape based head detection that takes advantage of the people tracking is presented. Experimental results on a live active camera demonstrate the feasibility of real-time person following and of the consecutive head detection phase.
Mattering Moderates the Link between Gender Ideology and Perceived Fairness of the Division of Household Labor

This study examines the moderational role played by the feeling of mattering to the partner in the relationship between gender ideology and perceived fairness using a sample of 141 Canadian mothers with at least one child between the ages of two to five years old. Results support the moderator model and suggest that the emotional rewards mothers receive from their romantic partner influence the way they use gender ideology to evaluate the fairness of the division of family labor in their household. The results show that egalitarian gender ideology is associated with a greater sense of unfairness only when women feel that their partner demonstrates a low level of appreciation toward them. The findings are discussed in terms of the distributive justice theory.
On the Convergence of Approximate Message Passing With Arbitrary Matrices

Approximate message passing (AMP) methods and their variants have attracted considerable recent attention for the problem of estimating a random vector x observed through a linear transform A. In the case of large i.i. d. zero-mean Gaussian A, the methods exhibit fast convergence with precise analytic characterizations on the algorithm behavior. However, the convergence of AMP under general transforms A is not fully understood. In this paper, we provide sufficient conditions for the convergence of a damped version of the generalized AMP (GAMP) algorithm in the case of quadratic cost functions (i.e., Gaussian likelihood and prior). It is shown that, with sufficient damping, the algorithm is guaranteed to converge, although the amount of damping grows with peak-to-average ratio of the squared singular values of the transforms A. This result explains the good performance of AMP on i.i. d. Gaussian transforms A, but also their difficulties with ill-conditioned or non-zero-mean transforms A. A related sufficient condition is then derived for the local stability of the damped GAMP method under general cost functions, assuming certain strict convexity conditions.
Literature mining in molecular biology

(2) named entity tagging: e.g protein / gene names 9 (3) fact extraction, information extraction: extract more elaborate patterns out of the text. (4) collection-wide analysis: combine facts that were extracted from various text into inferences, ranging from combined probabilities to newly discovered knowledge. Abstract: Literature mining is the process of extracting and combining facts from scientific publications. In recent years, many studies have resulted in computer programs to extract various molecular biology findings using Medline abstracts or full text articles. This article describes the range of techniques that have been applied in literature mining. In doing so, it divides automated reading into four general subtasks: text categorization, named entity tagging, fact extraction and collection-wide analysis. Special attention is given to the domain particularities of molecular biology.
Unusual primary osseous Hodgkin’s lymphoma: A case report

Hodgkin’s lymphoma (HL) is one of the few adult malignancies that most frequently presents with a progressive, painless enlargement of the peripheral lymph nodes. A primary osseous presentation of HL, without lymph node involvement, is extremely rare. The present study describes a case of primary multifocal osseous HL in a 22-year-old female. The patient presented with pain in the lumbar-sacral-pelvic area and a prolonged fever. Pathological examination led to a diagnosis of primary multifocal osseous lymphoma, and the patient was subsequently prescribed a course of Adriamycin, bleomycin, vinblastine and dacarbazine (ABVD) chemotherapy. Following this, the patient recovered with no pain or fever, and computed tomography identified no further progression. The clinical, radiological and histological features of HL are similar to those of other medical conditions, such as tuberculosis and eosinophilic granuloma. Furthermore, in rare cases, HL may even occur in combination with multiple myeloma. This makes it difficult to diagnose the condition, which often leads to a delay in treatment. Clinicians should not ignore HL when it manifests in the unusual primary osseous form.
Opinions of Prospective Primary School Teachers about Methods and Techniques Suitable for Teaching Science: A Case Study from Turkey

The aim of this study was to determine opinions of a group of prospective Turkish primary school teachers aboutwhat teaching methods and techniques are more suitable to teach science. In addition, their perceived competence inselection of teaching methods and techniques was explored. In Turkey, primary school teachers offer various coursesin the first four years of primary education. Their ability to benefit from teaching methods and techniques suitable forsubjects and courses is considered important in terms of realization of learning. The study was also directed towardsexamining whether third-year university students having taken courses for methods and techniques used to teachdifferent subjects felt competent about selection of suitable methods and techniques.This is a case study using both quantitative and qualitative research methods. Quantitative data were gathered withPerceived Competence Scale for Selection of Teaching Methods and Techniques for Prospective Teachers,developed by Durdukoca et al. (2017). Qualitative data were collected through an open-ended question “Whatteaching methods and techniques do you think you want to use in the future”. All the participants answered thisopen-ended question and completed the scale. Data obtained through the open ended-question were analyzed withcontent analysis.The study sample included 96 third-year students studying in the Department of Primary Education in BucaEducation Faculty of Dokuz Eylül University in the spring term of the 2017-2018 academic year. Quantitative datawere analyzed with SPSS v. 22 and t-test.The prospective primary school teachers were found to plan to use student-centered methods and techniques and tohave high perceived competence concerning selection of teaching methods and techniques. Their perceivedcompetence did not differ between genders and students with different academic performance. Only having apositive perception of competence significantly differed between branches of students.
Supplement to a Snowfall Impact Scale Derived from Northeast Storm Snowfall Distributions

FEBRUARY 2004 AMERICAN METEOROLOGICAL SOCIETY | eteorological impact scales have been devised to relate wind speeds associated with tornadoes (Fujita 1971) and hurricanes (Saffir 1977) to structural damage. These scales provide benchmarks with which to assess the destructive potential of individual storms and to communicate that potential to the public. In the case of tornadoes, that assessment is typically made following the storm’s occurrence. In the case of hurricanes, wind measurements are made during the storm’s lifetime, allowing an assessment during the evolution of the storm. Thus, the scales can help in decision-making processes involved in either evacuation (in the case of hurricanes), evaluating building codes, or performing other actions necessary to save lives and mitigate potential property loss, as well as providing a historical perspective. Snowstorms are complex phenomena whose impact can be affected by a great many factors, including a region’s climatological susceptibility to snowstorms, snowfall amounts, snowfall rates, wind speeds, temperatures, visibility, storm duration, topography, and occurrence during the course of the day, weekday versus weekend, and time of season. With such complexity, quantifying the impact of snowstorms with a scale that can be easily conveyed to the general public is difficult. Until recently, relatively little has been done to classify major winter storms. Hart and Grumm (2001) use a method based on a normalized departure from climatology of tropospheric values of height, temperature, wind, and moisture to rank extratropical and tropical weather events, including Northeast snowstorms, computed from the “reanalysis dataset” over a 53-yr period (Kalnay et al. 1996). Using the Hart and Grumm methodology, the highest-ranked storm (most climatologically anomalous) was the January 1956 “Great Atlantic Low” (Ludlum 1956; also see chapter 11 of Kocin and Uccellini 2004b) while the March 1993 Superstorm ranked third in the 53-yr study period. Zielinski (2002) also utilizes a synoptic climatology, but focuses on major East Coast snowstorms during a 30-yr period, 1955–85 (Kocin and Uccellini A SNOWFALL IMPACT SCALE DERIVED FROM NORTHEAST STORM SNOWFALL DISTRIBUTIONS
Diabetes mellitus and risk of brain tumors: A meta-analysis

Accumulating evidence suggests that a history of diabetes may be involved in the occurrence of various types of cancer. However, the association of diabetes with the risk of brain tumors remains unclear. We identified relevant studies by performing a literature search of PubMed and EMBASE (through to 24 May 2012) and by searching the reference lists of pertinent articles. All data were extracted independently by two investigators using a standardized data abstraction tool. Summary relative risks (SRRs) with 95% confidence intervals (CIs) were calculated using a random-effects model. Inter-study heterogeneity was assessed using the Cochran’s Q and I2 statistical tests. A total of 13 studies were included in this meta-analysis, including the entire Danish population, 5,107,506 other participants and more than 2,206 cases of brain tumors. In the analysis of these 13 studies, we observed that diabetic individuals had a similar risk of brain tumors as non-diabetic individuals (SRR, 1.12; 95% CI, 0.89–1.42). There was significant evidence of heterogeneity among these studies (P<0.001; I2, 93.5%). Sub-group analysis revealed that diabetic females had a 24.2% increased risk of brain tumors (SRR, 1.242; 95% CI, 1.026–1.502), which was not observed in diabetic males. No significant publication bias was found in this study. The findings of this meta-analysis indicate that diabetic individuals have a similar risk of brain tumors as non-diabetic individuals. However, a significant positive correlation between the risk of brain tumors and diabetes mellitus was revealed in females, but not in males.
The Investigation of Trends, Analysis and Modelling of Daily Rainfall in Australia

Daily accumulated rainfall data obtained from observational stations in Australia over a period of 64 years were explored using statistical methods to determine the patterns. The thesis composed three studies. In the first study, daily rainfall during 1950-2013 for 92 observational stations was obtained from Australian Bureau of Meteorology. Rainfall variability over successive 5-day periods from 1950-2013 was examined. The first model uses factor analysis to classify the 92 stations of factors, which represent distinct geographical regions. Gamma generalised linear models were then fitted to describe the patterns in the 5-day non-zero rainfall amount in each factor region with period and year as the predictors. The factor analysis revealed eight factors in the data, which represent eight geographical regions. These regions comprise north, northeast, central east, northwest, central south, north southeast, southwest and south-southeast. The rainfall from each region exhibits different overall mean with various seasonal variations. The second study also uses daily accumulated rainfall from the 92 observational stations acquired from the Australian Bureau of Meteorology. Multiple linear regression and Gamma GLM models fitted to the 5-day rainfall observations were compared. A simple linear regression model was also fitted to explore the trends in the annual rainfall. The 5-day
Chemosensory anxiety cues moderate the experience of social exclusion – an fMRI investigation with Cyberball

Recent evidence suggests that the experience of stress can be communicated between individuals via chemosensory cues. Little is known, however, about the impact of these cues on neurophysiological responses during a socially threatening situation. In the current investigation we implemented a widely used paradigm to study social exclusion—Cyberball—to examine whether chemosensory cues signaling anxiety modulate the neuronal effects of ostracism. In a double-blind, within-subjects design, 24 healthy, normosmic participants were presented with chemosensory cues of anxiety (or control samples) and completed the Cyberball task while in a 3T fMRI scanner. Axillary sweat collected from male students awaiting an oral examination served as the anxiety cues while the chemosensory control stimuli consisted of sweat collected from the same individuals participating in an ergometer training session. The neuroimaging data revealed that under the control chemosensory condition, exclusion from Cyberball was associated with significantly higher orbitofrontal cortex and anterior cingulate cortex activity, which is consistent with previous studies in the field. However, when participants were primed with the anxiety sweat, the activity in these regions was not observed. Further, under exposure to anxiety cues during ostracism the participants showed deactivations in brain regions involved in memory (hippocampus), social cognition (middle temporal gyrus, superior temporal gyrus) and processing of salience (inferior frontal gyrus). These results suggest that successful communication of anxiety via the chemosensory domain may moderate the experience of social exclusion. It is possible that the anxiety signals make it easier for the individuals to detach from the group, pointing to the communicative role of chemosensory anxiety cues in enhancing adjustment mechanisms in light of a distressing situation.
Simulation of arsenic in situ doping with polysilicon CVD and its application to high aspect ratio trenches

Filling high aspect ratio trenches is an essential manufacturing step for state of the art memory cells. Understanding and simulating the transport and surface processes enables one to achieve voidless filling of deep trenches, to predict the resulting profiles, and thus to optimize the process parameters and the resulting memory cells. Experiments on arsenic doped polysilicon deposition show that under certain process conditions step coverages greater than unity can be achieved. We developed a new model for the simulation of arsenic doped polysilicon deposition, which takes into account surface coverage dependent sticking coefficients and surface coverage dependent arsenic incorporation and desorption rates. The additional introduction of Langmuir-Hinshelwood type time dependent surface coverage enabled the reproduction of the bottom up filling of the trenches in simulations. Additionally, the rigorous treatment of the time dependent surface coverage allows to trace the in situ doping of the deposited film. The model presented was implemented and simulations were carried out for different process parameters. Very good agreement with experimental data was achieved with theoretically deduced parameters. Simulation results are shown and discussed for polysilicon deposition into 0.1 /spl mu/m wide and 7 /spl mu/m deep, high aspect ratio trenches.
SPAM : A Framework for Social Profile Abuse Monitoring

— Online social networks have evolved over the last few years with new sophisticated features to help make a user's virtual world more realistic. Unfortunately, with every new social feature a new privacy security threat often opens up. It's a good rule of thumb to only connect and share with people you know in real life. "Friending" strangers or making your personal data available to strangers by allowing them to follow you opens you up to added privacy and security risks. According to a study from Cloudmark, nearly 40 percent of new Facebook profiles are fake, created by malware writers and spammers. Even a large social network like Twitter is challenged everyday by presence of multitude of fake Twitter users. They are there not to interact, but just to have a free platform to spam the system with their commercials. They collect as many as possible followers in order to spam them. In this project we have proposed and evaluated a framework for social network privacy protection via automatic abusive user detection. We have also proposed a 4-class classification model for measuring profile similarity indexing based on fine-grained user similarity features. This would provide a measure of confidence based on which a user can filter out a potential threat. Our Abuse detection model is performing with an precision of 90.9% and the novel profile similarity indexing model is performing with a precision of 64.9% for 4-star, 53.8% for 3-star, 53.8% for 2-star and 58.8% for 1-star. These results are bound to improve with a larger dataset. I INTRODUCTION Online social networking sites such as Facebook, Twitter, GooglePlus, MySpace and LinkedIn allow millions of users to meet new people, stay in touch with friends, establish professional connections and more. As more and more of these social networks come online they have become an apt playground for spammers all over the world and are becoming a new kind of threat to regular users of these sites. Spammers have utilized Twitter as the new platform to achieve their malicious goals such as sending spam, spreading malware, hosting botnet command and control (C&C) channels, and performing other illicit activities. There can be a fine line of difference how people define spam accounts. In this study we have classified such kind of accounts into three categories: a) Monotonic-Users posting same content multiple and huge number of times. b) Fake – Users who impersonate other valid …
Functional Behavior Assessments through the Lenses of a General Education Clinical Teacher

The purpose of this study was to look at the experience of a clinical teacher implementing a Functional Behavior Assessment, and what impact the assessment had on decreasing student behavior. Three student participants were selected based on the frequency of disruptive behavior in the classroom. Direct observation was taken over four days in order to develop hypotheses about the function of behavior. Interventions connected to the function were created and implemented over the course of the next four weeks, as behavior continued to be observed. For two students, the intervention consisted of a self-monitoring checklist and for the third student it focused on steps to manage anger. For all three participants, frequency of behavior decreased over the course of the study; however, no behavior was extinguished. The clinical teacher discusses the ups and downs of the FBA process and how it can be implemented successfully by other general education teachers. FBAS OF A CLINICAL TEACHER 3 Functional Behavior Assessments through the Lenses of a General Education Clinical
Performance Analysis of MUSIC for Conformal Array

The manifold of 3D conformal array geometry is modeled and the classical high resolution direction-of-arrival (DOA) estimation method-multiple signal classification (MUSIC) algorithm is replanted into conformal array in this paper. The performance of MUSIC for conformal array is analyzed in detail, including its variance and corresponding Cramer-Rao bound (CRB). Computer simulation for the performance comparison between conformal array (conical array, cylindrical array, and spherical array) and planar array (uniform linear array and uniform circular array) is demonstrated. Some conclusions of MUSIC performance evaluation for different array geometry are reached.