Miracle-dz/UniFAR-FTUs huggingface dataset:
Design analysis of UWB bandpass filter using suspended microstrip technology

This paper presents a suspended microstrip technology to enhance the bandwidth of proposed ultra-wideband (UWB) bandpass filter. The earlier proposed filter suffer with the problem of low bandwidth, to eliminate this the concept of suspended microstrip technology is introduced to enhance the bandwidth. The proposed filter is designed by combining the step impedance lowpass filter (LPF) and the optimum distributed highpass filter (HPF). For designing of the structure FR-4 substrate of thickness h = 1 mm with Dielectric constant = 4.05 is used and the filter occupies 22.8mm × 12mm die of area. This filter is operating in the whole UWB passband of 3.1 GHz to 10.6 GHz. Further, the bandwidth is enhanced from 2 to 6 percent from the earlier UWB filters. CST microwave studio software is used for the simulation of the designed structures.
A Practical Simulation Method to Calculate Sample Size of Group Sequential Trials for Time-to-Event Data under Exponential and Weibull Distribution

Group sequential design has been widely applied in clinical trials in the past few decades. The sample size estimation is a vital concern of sponsors and investigators. Especially in the survival group sequential trials, it is a thorny question because of its ambiguous distributional form, censored data and different definition of information time. A practical and easy-to-use simulation-based method is proposed for multi-stage two-arm survival group sequential design in the article and its SAS program is available. Besides the exponential distribution, which is usually assumed for survival data, the Weibull distribution is considered here. The incorporation of the probability of discontinuation in the simulation leads to the more accurate estimate. The assessment indexes calculated in the simulation are helpful to the determination of number and timing of the interim analysis. The use of the method in the survival group sequential trials is illustrated and the effects of the varied shape parameter on the sample size under the Weibull distribution are explored by employing an example. According to the simulation results, a method to estimate the shape parameter of the Weibull distribution is proposed based on the median survival time of the test drug and the hazard ratio, which are prespecified by the investigators and other participants. 10+ simulations are recommended to achieve the robust estimate of the sample size. Furthermore, the method is still applicable in adaptive design if the strategy of sample size scheme determination is adopted when designing or the minor modifications on the program are made.
A Survey on Improved Filtering Techniques for Multiclass Gene Selection

In the field of bioinformatics, selection of genes in multiclass sample classification can be done by filtering methods using microarray data. Such approaches usually contribute to bias towards a few classes that are easily recognizable from other classes due to imbalances of strong features and sample sizes of distinct classes in a microarray data. Many methods have been used for the filter methods, as they are very commonly used in gene ranking from microarray data in multiclass problems. In this research, we discuss various methods to decompose multiclass ranking statistics into class specific statistics and then need of Pareto-front analysis for selection of genes. This mitigates the bias induced by class intrinsic characteristics of dominating classes. The need of Pareto-front analysis is to indicate on two filter criteria commonly used for gene selection: F-score and KW-score. A significant development in classification performance and reduction in redundancy among top ranked genes were achieved in experiments with both synthetic and real-benchmark data sets. The following work is analysis over the traditional and improved filter methods used for gene selection of various classes through various mechanisms available in the literature.
A unifying view on business process modelling and knowledge engineering

Recently the demand on business process modelling (BPM) became apparent in many different communities. To provide a unifying framework we propose an approach to integrate (well known) knowledge engineering techniques into a business process modelling context. We see knowledge based systems as one possibility (among others) to implement (re-engineered) business processes or parts thereof. Our framework is exemplified by integrating the MIKE approach (Model based and Incremental Knowledge Engineering) with ARIS (ARchitecture of Information Systems), a prominent representative of business process modelling. An important aspect of our framework is a proposal for linking business process models with a model of expertise.
The importance of associations with saprotrophic non-Rhizoctonia fungi among fully mycoheterotrophic orchids is currently under-estimated: novel evidence from sub-tropical Asia.

BACKGROUND AND AIMS Most fully mycoheterotrophic (MH) orchids investigated to date are mycorrhizal with fungi that simultaneously form ectomycorrhizas with forest trees. Only a few MH orchids are currently known to be mycorrhizal with saprotrophic, mostly wood-decomposing, fungi instead of ectomycorrhizal fungi. This study provides evidence that the importance of associations between MH orchids and saprotrophic non-Rhizoctonia fungi is currently under-estimated. METHODS Using microscopic techniques and molecular approaches, mycorrhizal fungi were localized and identified for seven MH orchid species from four genera and two subfamilies, Vanilloideae and Epidendroideae, growing in four humid and warm sub-tropical forests in Taiwan. Carbon and nitrogen stable isotope natural abundances of MH orchids and autotrophic reference plants were used in order to elucidate the nutritional resources utilized by the orchids. KEY RESULTS Six out of the seven MH orchid species were mycorrhizal with either wood- or litter-decaying saprotrophic fungi. Only one orchid species was associated with ectomycorrhizal fungi. Stable isotope abundance patterns showed significant distinctions between orchids mycorrhizal with the three groups of fungal hosts. CONCLUSIONS Mycoheterotrophic orchids utilizing saprotrophic non-Rhizoctonia fungi as a carbon and nutrient source are clearly more frequent than hitherto assumed. On the basis of this kind of nutrition, orchids can thrive in deeply shaded, light-limiting forest understoreys even without support from ectomycorrhizal fungi. Sub-tropical East Asia appears to be a hotspot for orchids mycorrhizal with saprotrophic non-Rhizoctonia fungi.
The Quarterly Journal of Experimental Psychology Different Predictors of Multiple-target Search Accuracy between Nonprofessional and Professional Visual Searchers

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Self-adaptive and self-configured CPU resource provisioning for virtualized servers using Kalman filters

Data center virtualization allows cost-effective server consolidation which can increase system throughput and reduce power consumption. Resource management of virtualized servers is an important and challenging task, especially when dealing with fluctuating workloads and complex multi-tier server applications. Recent results in control theory-based resource management have shown the potential benefits of adjusting allocations to match changing workloads. This paper presents a new resource management scheme that integrates the Kalman filter into feedback controllers to dynamically allocate CPU resources to virtual machines hosting server applications. The novelty of our approach is the use of the Kalman filter-the optimal filtering technique for state estimation in the sum of squares sense-to track the CPU utilizations and update the allocations accordingly. Our basic controllers continuously detect and self-adapt to unforeseen workload intensity changes. Our more advanced controller self-configures itself to any workload condition without any a priori information. Indicatively, it results in within 4.8% of the performance of workload-aware controllers under high intensity workload changes, and performs equally well under medium intensity traffic. In addition, our controllers are enhanced to deal with multi-tier server applications: by using the pair-wise resource coupling between application components, they provide a 3% on average server performance improvement when facing large unexpected workload increases when compared to controllers with no such resource-coupling mechanism. We evaluate our techniques by controlling a 3-tier Rubis benchmark web site deployed on a prototype Xen-virtualized cluster.
An embedded declarative data transformation language

We introduce a logic programming framework for data type transformations based on isomorphisms between elementary data types (natural numbers, finite functions, sets and permutations, digraphs, DAGs, hypergraphs, etc.) and automatically derived extensions to hereditarily finite universes through ranking/unranking operations. An embedded higher order combinator language provides any-to-any encodings automatically. Applications range from stream iterators on combinatorial objects and uniform generation of random instances to succinct data representations and serialization of Prolog terms. The self-contained source code of the paper, as generated from a literate Prolog program, is available at http://logic.cse. unt.edu/tarau/research/2009/pISO.zip
Facilitators and barriers affecting sexual desire in elderly Iranian women: a qualitative study

ABSTRACT Elderly people are very common perceived as asexual but some studies have reported some variations. However, very little research has been done to determine the facilitators and barriers that affect sexuality, especially in relation to elderly women. This study was undertaken to explore perceptions of sexuality among a selection of married older women in Iran in terms of facilitators and barriers. Accordingly, a study was done on 27 married women, older than 60 years. Qualitative content analysis was used to identify four distinct subthemes that served as facilitators of sexual desire. These were determined as life satisfaction, favourable outcome, spouse's characteristics, and a sense of duty. Four other subthemes were determined as barriers to sexual desire; namely physical weakness, evolving emotions, a sense of taboo, and a sense of insecurity. All these variables appeared rooted in religious teachings, social stereotypes, or cultural traditions that constituted women's perceptions of themselves as elderly married women. Further study is recommended on elderly people that includes participants of both sexes and with different marital statuses.
Improving Sensitivity and Reliability of fMRI Group Studies through High Level Combination of Individual Subjects Results

fMRI group studies are usually based on the computation of a mean signal for each voxel across subjects (Random Effects Analyzes), assuming that all subjects are in the same anatomical space (Talairach space). Although this is the standard approach, it lacks efficiency because its underlying hypotheses are often violated. We present here a new framework that detects structures of interest from each subject’s data, then searches for correspondences across subjects and outlines the most reproducible activation in the group studied. This framework enables a strict control on the number of false positives. It is shown here that this analysis demonstrates increased validity and improves both the sensitivity and reliability of group analyzes compared to standard methods. Moreover, it directly provides information on the activated regions spatial position correspondence or variability across subjects, which is difficult to obtain in standard voxel-based analyzes.
A privacy-preserving reputation system for participatory sensing

Participatory sensing is a revolutionary paradigm in which volunteers collect and share information from their local environment using mobile phones. The design of a successful participatory sensing application is met with two challenges - (1) user privacy and (2) data trustworthiness. Addressing these challenges concurrently is a non-trivial task since they result in conflicting system requirements. User privacy is often achieved by removing the links between successive user contributions while such links are essential in establishing trust. In this work, we present a way to transfer reputation values (which is a proxy for assessing trustworthiness) between anonymous contributions. We also propose a reputation anonymization scheme that prevents the inadvertent leakage of privacy due to the inherent relationship between reputation information. We conduct extensive simulations using real-world mobility traces and practical application. The results show that our solution reduces the probabilities of users being tracked via successive contributions by as much as 80%. Moreover, this improvement has no discernible impact on the normal operation of the application.
Using FORM Data to Predict Phase Labels

In this paper we present an augmentation of the FORM gesture corpus and describe experiments using FORM to predict gesture phase, i.e. preparation, stroke, and retraction. We compare these results to experiments using motion-captured data to predict the same. Interestingly, the FORM data, which is gathered via annotation, does significantly better than the motion-captured data. Author
Gender bias and central bank policy: employment and inflation reduction

This article considers the employment costs of inflation reduction in developing countries from a gender perspective. We explore two broad empirical questions: (1) what is the impact of inflation reduction on employment, and is the impact different for women and men, and (2) how are monetary policy indicators (e.g. real interest rates) connected to deflationary episodes and gender‐specific employment effects? We find a common pattern among countries undergoing what we term contractionary inflation reduction, or periods of declining inflation that are accompanied by a loss of formal employment. After controlling for long‐term employment trends, we find that the ratio of women’s to men’s employment tends to decline during these periods in the majority of countries examined. During the fewer periods of expansionary inflation reduction, however, there are no clear patterns to the relative changes in women’s and men’s employment. Maintaining competitive exchange rates seems to counterbalance the gender‐biased effects of contractionary inflation reduction episodes, however.
Intra fi rm Mobility and Sex Di ff erences in Pay

In this paper we analyze eight years of employment data of a regional grocery store chain in the U.S. The data include job titles, wage rates, and earnings for all employees. We examine initial job assignments, mobility between departments, and mobility into supervisory and management positions in the firm. We model the flows of individuals between different departments and jobs within the firm as a Markov process. The estimated transition probabilities imply that expected seniority is greater for women. We find a pattern of intrafirm mobility and initial job assignment that generally penalizes women, even after taking account of individuals’ characteristics
Green Diffusion: Data dissemination in sensor networks using solar power

Solar-power can provide a much needed energy source for wireless sensor networks, which are remotely deployed and limited by the short battery lifetime. A challenge in solar-powered sensor network is that solar power is highly dynamic and volatile: sun light intensity varies significantly with time, with the location of the deployment, the weather conditions, solar panel orientation, and obstacles and shading. Therefore, even if all sensors are equipped with solar panels, individual sensors can receive vastly different amount of solar power and a significant portion of sensors may not receive adequate solar power. This paper addresses such a challenge and introduces a sensor data collection scheme called “Green Diffusion” that automatically adapts sensors data dissemination behavior to the solar power received by the sensors. Performance evaluation shows our scheme significantly reduces sensor battery energy consumption and data latency, even when just a fraction of the nodes receive adequate solar power1.
Moving Object detection using RunningAverage Discrete Wavelet Transform

Object detection is the first important step in video surveillance. This paper presents a new approach to automatic segmentation of foreground objects from an image sequence by integrating techniques of background subtraction and noise filter. Here, moving objects are detectedusing background subtraction methods. In this background module we cangenerated from the video sequence by using Running average Discrete-Wavelet-Transform. After this moving objects aredetected by comparing current and background frame. Manybackground subtraction approaches are available but most ofthem are not illumination sensitive. The current status of thebackground with sudden illumination change is updated here.In order to produce higher accuracy the proposed method used a noise filter for motion detection. This generates binary motion detection mask. This proposed method shows better result as compared to the existing methods.
Effect of physical activity levels on negative and positive affect comparison to the gender: Sample of Akdeniz and Uludağ Universities Fiziksel aktivite düzeyinin pozitif ve negatif duygu durumuna etkisinin cinsiyete göre karşılaştırılması: Akdeniz ve Uludağ Üniversiteleri örneği

The aim of this study is to examine the effect of physical activity levels on negative and positive affect according to the gender within university students. The participants of the study consisted of 693 university students from Akdeniz and Uludag Universities (311 males and 382 females) with the ages ranging between 17 and 30. The data of the study were obtained through the use of the following scales: International Physical Activity Questionnaire-Short Form and Positive-Negative Affect Scale. The student’s t-test, Pearson product-moment correlation and simple regression analysis were employed for the statistical analysis. As a result of the study; physical activity levels of male was significantly higher than female students. There is a statistically significant positive linear relationship between total physical activity score and positive affect meanwhile a significant relationship with positive affect was not obtained. Consequently, total physical activity score is one of the predictors of positive affect in male and female students. Extended English abstract is in the end of PDF (TURKISH) file . Ozet Bu calismanin amaci, universitede okuyan ogrencilerin cinsiyetlerine gore fiziksel aktivite duzeylerinin pozitif ve negatif duygu durumuna etkisini incelemektir. Calismaya Akdeniz ve Uludag Universitesinde egitim goren 17-30 yaslari arasinda 311 (Akdeniz U. 184–Uludag U. 127) erkek ve 382 (Akdeniz U. 209–Uludag U. 173) kadin olmak uzere toplam 693 ogrenci katilmistir. Calismada uluslararasi fiziksel aktivite anketinin kisa formu ve pozitif/negatif duygu olcegi kullanilmistir. Verilerin analizinde, t testi, pearson korelasyon analizi ve basit dogrusal regresyon analizi kullanilmistir. Sonuc olarak; erkeklerin fiziksel aktivite degerleri kadinlara gore anlamli olarak yuksek bulunmustur. Toplam fiziksel aktivite degeri ile pozitif duygu durumu arasinda pozitif dogrusal iliski oldugu saptanmis olup, negatif duygu durumu ile iliskili olmadigi tespit edilmistir. Buna gore; toplam fiziksel aktivite degerinin pozitif duygu durumunu kadin ve erkeklerde anlamli duzeyde acikladigi gorulmektedir.
Road Traffic Congestion Monitoring in Social Media with Hinge-Loss Markov Random Fields

Real-time road traffic congestion monitoring is an important and challenging problem. Most existing monitoring approaches require the deployment of infrastructure sensors or large-scale probe vehicles. Their installation is often expensive and temporal-spatial coverage is limited. Probe vehicle data are oftentimes noisy on urban arterials, and therefore insufficient to provide accurate congestion estimation. This paper presents a novel social-media based approach to traffic congestion monitoring, in which pedestrians, drivers, and passengers a retreated as human sensors and their posted tweets in Twitter as observations of nearby ongoing traffic conditions. There are three technical challenges for road traffic monitoring based on Twitter, namely: 1) language ambiguity in the usage of traffic related terms, 2) uncertainty and low resolution of geographic location mentions, and 3) interactions between traffic-related events such as accidents and congestion. We propose a topic modeling based language model to address the first challenge and a collaborative inference model based on probabilistic soft logic (PSL) to address the second and third challenges. We present a unified statistical framework that combines those two models based on hinge loss Markov random fields (HLMRFs). In order to address the computational challenges incurred by the non-analytical integral of latent variables (factors) and the MAP estimation of a large number of location-dependent traffic congestion variables, we propose a fast approximate inference algorithm based on maximization expectation (ME) and the alternating directed method of multipliers (ADMM). Extensive evaluations over a variety of metrics on real world Twitter and INRIX probe speed datasets in two U.S. Major cities demonstrate the efficiency and effectiveness of our proposed approach.
Nuclear Mitochondrial DNA Activates Replication in Saccharomyces cerevisiae

The nuclear genome of eukaryotes is colonized by DNA fragments of mitochondrial origin, called NUMTs. These insertions have been associated with a variety of germ-line diseases in humans. The significance of this uptake of potentially dangerous sequences into the nuclear genome is unclear. Here we provide functional evidence that sequences of mitochondrial origin promote nuclear DNA replication in Saccharomyces cerevisiae. We show that NUMTs are rich in key autonomously replicating sequence (ARS) consensus motifs, whose mutation results in the reduction or loss of DNA replication activity. Furthermore, 2D-gel analysis of the mrc1 mutant exposed to hydroxyurea shows that several NUMTs function as late chromosomal origins. We also show that NUMTs located close to or within ARS provide key sequence elements for replication. Thus NUMTs can act as independent origins, when inserted in an appropriate genomic context or affect the efficiency of pre-existing origins. These findings show that migratory mitochondrial DNAs can impact on the replication of the nuclear region they are inserted in.