Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study on the Self-Esteem Level among the Students of College of Home Science

A study was conducted to analyze the self-esteem of the students of College of Home Science, PJTSAU, Hyderabad, Telangana state, India. For studying the self-esteem level of the students, Rosenberg Selfesteem scale (1965) was used. Findings of this study had revealed that, the 55% (higher percentage) of the students had medium selfesteem, whereas the remaining 45 percentage of students were with high self-esteem. We strongly believe that, this study will help the parents and teachers, to maintain the self-esteem in optimum level among the college students.
Learning to Combine Ad-hoc Ranking Functions for Image Retrieval

Along with the success of "bag of visual words" scheme in content based image retrieval (CBIR), various technologies in text information retrieval realm have been transferred into image retrieval system and obtain promising performance. However, how to select the suitable ranking technology, such as ranking model, for a specific image database is still an open question. Because most ranking models are data-dependent, it is hard to find an optimal model for all the applications. In this paper, we propose to resolve this problem for CBIR with the learning to rank approach which has been widely utilized in text retrieval. Specifically, we consider several well performed ad-hoc ranking models and use their ranking scores to construct the ranking features for the Ranking SVM framework. To best preserve the spatial structures existed in the visual words of image, we split the image into different size blocks, and design the ranking features with a pyramid approach from large blocks to small blocks. Experimental results on both Oxford and Image Net databases demonstrate the effectiveness of proposed method compared with the performance that individual ranking model is adopted. Moreover, the proposed method brings little computational burden to the system and the efficiency analysis proves its scalability.
Ano1/TMEM16A Overexpression Is Associated with Good Prognosis in PR-Positive or HER2-Negative Breast Cancer Patients following Tamoxifen Treatment

The calcium-activated chloride channel Ano1 (TMEM16A) is overexpressed in many tumors. Although Ano1 overexpression is found in breast cancer due to 11q13 amplification, it remains unclear whether signaling pathways are involved in Ano1 overexpression during breast cancer tumorigenesis in vivo. Estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) have been known to contribute to breast cancer progression. It is unclear whether Ano1 is associated with clinical outcomes in breast cancer patients with different ER, PR and HER2 status. In the present study, we investigated the Ano1 expression in 431 patients with invasive ductal breast carcinoma and 46 patients with fibroadenoma, using immunohistochemistry, and analyzed the association between Ano1 expression and clinical characteristics and outcomes of breast cancer patients with different ER, PR, and HER2 status. Ano1 was overexpressed in breast cancer compared with fibroadenoma. Ano1 was significantly more associated with breast cancer with the lower clinical stage (stage I or II), or triple-negative status. Mostly importantly, Ano1 overexpression was associated with good prognosis in patients with the PR-positive or HER2-negative status, and in patients following tamoxifen treatment. Multivariate Cox regression analysis showed that Ano1 overexpression was a prognostic factor for longer overall survival in PR-positive or HER2-negative patients, and a predictive factor for longer overall survival in patients following tamoxifen treatment. Our findings suggest that Ano1 may be a potential marker for good prognosis in PR-positive or HER2-negative patients following tamoxifen treatment. The PR and HER2 status defines a subtype of breast cancer in which Ano1 overexpression is associated with good prognosis following tamoxifen treatment.
Candida krusei fungaemia: antifungal susceptibility and clinical presentation of an uncommon entity during 15 years in a single general hospital.

BACKGROUND Candida krusei fungaemia is an uncommon entity described in immunocompromised patients previously exposed to azole agents. METHODS From 1988 to 2003, 13 episodes of C. krusei fungaemia (2.3% of all fungaemias) were detected in our institution and compared with 39 Candida albicans controls. Susceptibility testing was carried out with the modified microdilution method according to NCCLS recommendations. RESULTS Underlying conditions were: HIV infection (4), haematological malignancies (4), organ transplantation (2), abdominal surgery (2) and lactose intolerance (1). Nine patients (69%) were not neutropenic. In comparison with C. albicans, patients with C. krusei infection had more commonly received antifungal agents (54% versus 15%, P = 0.006), had a haematological disease (31% versus 3%, P = 0.03), or a transplant (15% versus 3%, P = 0.08), were on corticosteroids (47% versus 13%, P = 0.01) and were neutropenic (31% versus 0%, P < 0.001). Patients with C. albicans had more surgical interventions (41% versus 15%, P = 0.09) and bladder catheters (61% versus 31%, P = 0.05). The most common origin for C. albicans was a catheter (41% versus 0%; P = 0.006) whereas for C. krusei the most common origin was unknown (69% versus 20%; P = 0.001). C. krusei presented more commonly with skin lesions in neutropenic patients (23% versus 5%; P = 0.05). Multivariate analysis of these differential characteristics showed that the only factor that independently predicted the presence of C. krusei fungaemia was the administration of antifungal agents before the fungaemia (RR: 6.4; P=0.009; 95%CI 1.6-25.99). Overall mortality of C. krusei fungaemia was 38% (C. albicans 49%). Except for voriconazole (MIC90 0.125 mg/L), azoles and 5-flucytosine had poor activity against C. krusei, whereas amphotericin (MIC90 1 mg/L) and LY-303366 (MIC90 0.06 mg/L) showed good activity. CONCLUSION C. krusei fungaemia incidence remains low despite widespread use of azoles. It may occur outside the setting of cancer patients with previous antifungal use. The presence of skin lesions should be a warning sign.
Real-time local texture feature target tracking method

Precision and Speed are two conflict indexes in target tracking system. Good feature extracting method is key to precision. Local texture feature has better performance when target rotated or illumination changed. Moreover, its compute time is very short. In order to accelerate tracking algorithm, a new target tracking method is presented by combines the local texture feature and different value pyramid match methods. Experiment results indicate that the precision of this method is more than the traditional methods and the target displacement can be computed less than 20 ms which can meet the requirements of real time target tracking system.
Video acquired gesture interfaces for the handicapped

Thas paper descrabes a gesture-based multadamenszonal znput znterface and zts potentaal applacataons to the physzcally handacapped. The system uses two or more vadeo cameras and recognazes three sample gestures. It also tracks two fingers (poantang finger and thumb) and estamates thear three damensaonal posataon and oraentataon an real-tame. The system provades a natural and antuatave anterface to many applacataons that requare multadamensaonal control. It can be easaly adapted to address the needs of people who are bound to wheelchaars. Such users, for example, can control robot grappers wath antuatave Ngraspang” gestures or steer thear vehzcles by samply poantang an the darectaon they want to move. Our anterface as fast and robust and at can be used to control up to 10 parameters samultaneously.
Importance Sampling for a Two-Node Jackson Network with Customer Impatience until the End of Service

Importance sampling is a technique that is commonly used to speed up Monte Carlo simulation of rare events. Estimating probabilities associated to rare events has been a topic of great importance in queuing theory, and in applied probability at large. We analyze the performance of an importance sampling estimator for a rare event probability in a Jackson network. The present paper carries out strict deadlines to a two-node Jackson network with feedback whose arrival and service rates are modulated by an exogenous finite state Markov process. We derive a closed form solution for the probability of missing deadline. Then the results have employed in an importance sampling technique to estimate the probability of total population overflow which is a rare event. We have also shown that the probability of this rare event may be affected by various deadline values.
Identifikasi Problematika Pelacuran dalam Perspektif Hukum

Prostitution is a classic social problem existed continuously as though it is difficult to eradicate. It makes the topic on prostitution becomes interesting to discuss. This paper identified the problem of prostitution from the viewpoint of positive law and empirical reality in society. By combining normative and empirical studies, the article aims to provide an overview of the problem of prostitution more clearly. From the library resarch, it is found various types of prostitution occur. In addition, the motivation to commit prostitution was not solely caused by economic motives, but there were other motives such as drug abuse, for instance. To keep prostitution is not rampant, it is not solely relying on legal instruments, but the role and function of the family is important. Therefore, the problem of prostitution is not simply seen from one point of view, there are other factors as its cause.
Molecular Drift of the Bride ofSeven 2 e . w ( boss ) Gene in Drosophila 1

DNA sequences were determined for three to five alleles of the bride-of-sevenless (boss) gene in each of four species of Drosophila. The product of boss is a transmembrane receptor for a ligand coded by the sevenless gene that triggers differentiation of the R7 photoreceptor cell in the compound eye. Population parameters affecting the rate and pattern of molecular evolution of boss were estimated from the multinomial configurations of nucleotide polymorphisms of synonymous codons. The time of divergence between D. melanogaster and D. simulans was estimated as 1 Myr, that between D. teissieri and D. yakuba as -0.75 Myr, and that between the two pairs of sibling species as -2 Myr. (The boss genes themselves have estimated divergence times -50% greater than the species divergence times.) The effective size of the species was estimated as -5 X 106, and the average mutation rate was estimated as l-2 X 10 -9 / nucleotide /generation. The ratio of amino acid polymorphisms within species to fixed differences between species suggests that -25% of all possible single-step amino acid replacements in the boss gene product may be selectively neutral or nearly neutral. The data also imply that random genetic drift has been responsible for virtually all of the observed differences in the portion of the boss gene analyzed among the four species.
VIQING: visual interactive querying

The paper presents VIQING, an environment for expressing queries via direct manipulation of data visualizations. VIQING provides a simple graphical interface for connecting visualizations, and has the expressive power of the basic relational operators select, project and join. VIQING has been implemented in the Tioga DataSplash visualization system to provide a seamless integration of querying and browsing. The resulting system is unique in providing a unified visual interface for developing database applications, encompassing both querying and data visualization.
Linear analysis of the dynamics of neural masses.

Walter J. Freeman Journal Article e–Reprint Reprinted from ANNUAL REVIEW OF BIOPHYSICS AND BIOENGINEERING, Vol. 1, 1972 This work was supported by NIMH Grant MH 06686. cc: CREATIVE COMMONS COPYRIGHT: Attribution-Share alike Licence Original PDF File Source: http://sulcus.berkeley. edu/FreemanWWW/manuscripts/IA3/72.html This review is concerned with the problem of how to identify and characterize masses of neurons empirically as dynamic entities that have properties related to but distinct from those of the component neurons. This can only be done by observing and measuring experimentally the responses of neural masses to known stimuli. But measurement presupposes some theoretical framework to provide the necessary basis functions and the units. For example, a value for frequency is predicated on the presence of a periodic wave-form; a rate constant presumes an exponential decay; a numerical estimate of dispersion requires some distribution function; and so forth. The purpose of this review is to suggest that linear systems analysis can provide a very useful structure for measuring compound neural responses and for comprehending some of the elementary underlying dynamics. It does not define the entities nor explain what they do or how they do it. It merely provides the basis for measurement, which is the first step beyond uncorrelated observations and the prerequisite for testing theories of neural masses. WHAT IS A NEURAL MASS? Granted that nervous systems are composed of neurons, the most compelling fact about even the simpler brains is that the numbers of neurons are extremely large. Because the neuron is conceived as the elementary unit of neural function, and because it is accessible to measurement by an array of microtechniques, the proper aim of neurophysiology is the analysis of brain function in terms of the properties of single neurons. Yet most of what is known about the operation of the brain in relation to behavior has come from studies based on stimulation (electrical or chemical), field potential recordings, or ablation (by selective surgery or disease) of masses of brain tissue containing tens or hundreds of millions of neurons. The conceptual gap between the functions of single neurons and those numbers of neurons is still very wide.
Temporal Queries over World Wide Web

This paper proposes a framework for making temporal queries over WWW. In order to manage dynamic behaviors of Web services, we interpret a part of XML documents as a labeled transition system, and investigate its temporal properties. To cope with the state explosion problem, we adopt the hierarchical abstraction and refinement. Our approach aims at avoiding concrete model construction. It adapts to the ‘divide and rule’ policy of Internet.
The many facets of homologous recombination at telomeres

The ends of linear chromosomes are capped by nucleoprotein structures called telomeres. A dysfunctional telomere may resemble a DNA double-strand break (DSB), which is a severe form of DNA damage. The presence of one DSB is sufficient to drive cell cycle arrest and cell death. Therefore cells have evolved mechanisms to repair DSBs such as homologous recombination (HR). HR-mediated repair of telomeres can lead to genome instability, a hallmark of cancer cells, which is why such repair is normally inhibited. However, some HR-mediated processes are required for proper telomere function. The need for some recombination activities at telomeres but not others necessitates careful and complex regulation, defects in which can lead to catastrophic consequences. Furthermore, some cell types can maintain telomeres via telomerase-independent, recombination-mediated mechanisms. In humans, these mechanisms are called alternative lengthening of telomeres (ALT) and are used in a subset of human cancer cells. In this review, we summarize the different recombination activities occurring at telomeres and discuss how they are regulated. Much of the current knowledge is derived from work using yeast models, which is the focus of this review, but relevant studies in mammals are also included.
Methanotrophic activity in relation to methane efflux and total heterotrophic bacterial production in a stratified, humic, boreal lake

We studied methanotrophic activity in the water column in relation to heterotrophic bacterial production and efflux of methane (CH4) from the lake surface in a small, stratified, humic, boreal lake (Valkea‐Kotinen, southern Finland). During summer and winter stratification, the highest methanotrophic activities were in the metalimnion, where oxygen concentration was <6 mmol m−3. During an incomplete spring turnover and summer stratification period, 3‐5 times more CH4 was consumed by methanotrophs in the water column than was released to the atmosphere. The highest CH4 effluxes (1.2–5.1 mmol m−2 d−1) to the atmosphere occurred during the autumnal turnover despite observed methanotrophic activity in the whole water column. In winter, the amount of CH4 consumed by methanotrophs (0.20 mol CH4 m−2 during 6.5 months) was of the same order of magnitude as that during the ice‐free period (0.22 mol CH4 m−2 during 5.5 months). Annually ~80% of CH4 diffused from the sediment was consumed by methanotrophs in the water column, and only 20% (0.11 mol CH4 m−2 yr−1) was released to the atmosphere. During the ice‐free period, bacterial production measured as [14C]leucine uptake showed a bell‐shaped relation to CH4 concentration. The highest production was found in the metalimnion at CH4 concentrations ranging from 5 to 10 mmol m−3. During summer stratification, net production of methanotrophs corresponded to 23–47% of total bacterial production, but during the autumn turnover, this proportion was higher (27–81%), indicating that methanotrophs offer a potentially significant source of carbon to zooplankton in stratified humic lakes.
Regulatory T Cells and IL-10 Independently Counterregulate Cytotoxic T Lymphocyte Responses Induced by Transcutaneous Immunization

Background The imidazoquinoline derivate imiquimod induces inflammatory responses and protection against transplanted tumors when applied to the skin in combination with a cognate peptide epitope (transcutaneous immunization, TCI). Here we investigated the role of regulatory T cells (Treg) and the suppressive cytokine IL-10 in restricting TCI-induced cytotoxic T lymphocyte (CTL) responses. Methodology/Principal Findings TCI was performed with an ointment containing the TLR7 agonist imiquimod and a CTL epitope was applied to the depilated back skin of C57BL/6 mice. Using specific antibodies and FoxP3-diphteria toxin receptor transgenic (DEREG) mice, we interrogated inhibiting factors after TCI: by depleting FoxP3+ regulatory T cells we found that specific CTL-responses were greatly enhanced. Beyond this, in IL-10 deficient (IL-10-/-) mice or after blocking of IL-10 signalling with an IL-10 receptor specific antibody, the TCI induced CTL response is greatly enhanced indicating an important role for this cytokine in TCI. However, by transfer of Treg in IL-10-/- mice and the use of B cell deficient JHT-/- mice, we can exclude Treg and B cells as source of IL-10 in the setting of TCI. Conclusion/Significance We identify Treg and IL-10 as two important and independently acting suppressors of CTL-responses induced by transcutaneous immunization. Advanced vaccination strategies inhibiting Treg function and IL-10 release may lead the development of effective vaccination protocols aiming at the induction of T cell responses suitable for the prophylaxis or treatment of persistent infections or tumors.
Using Multiobjective Genetic Programming to Infer Logistic Polynomial Regression Models

In designing non-linear classifiers, there are important trade-offs to be made between predictive accuracy and model comprehensibility or complexity. We introduce the use of Genetic Programming to generate logistic polynomial models, a relatively comprehensible non-linear parametric model; describe an efficient two-stage algorithm consisting of GP structure design and Quasi-Newton coefficient setting; demonstrate that Niched Pareto Multiobjective Genetic Programming can be used to discover a range of classifiers with different complexity versus "performance" trade-offs; introduce a technique to integrate a new "ROC (Receiver Operating Characteristic) dominance" concept into the multiobjective setting; and suggest some modifications to the Niched Pareto GA for use in Genetic Programming. The technique successfully generates classifiers with diverse complexity and performance characteristics.
Predicting Human Brain Activity Associated with Noun Meanings

Recent brain imaging studies have shown that different spatial patterns of neural activation are associated with thinking about different semantic categories of words and pictures (e.g., tools, buildings, animals). As a next step we seek a general theory capable of predicting the neural activity associated with arbitrary words not yet included in experiments. We present here the first such predictive theory, in the form of a computational model that is trained using a combination of data from a trillion-word text corpus, and observed fMRI data associated with viewing several dozen concrete nouns. Once trained, the model predicts fMRI activation for thousands of other concrete nouns in the text corpus, with highly significant accuracies over the 60 nouns for which we currently have fMRI data. One sentence summary: We present the first computational model capable of predicting observed fMRI activity produced when humans think about an arbitrary concrete noun, along with experimental results showing strong prediction accuracy over the 60 nouns for which we have fMRI data.
Patterns of play associated with success in international rugby sevens

Understanding the relationships between annual mean performance indicators and team ranking in the IRB Sevens World Series should inform long-term tactical approaches to competition. In this study we characterised these relationships using official data for each of the 12 core teams during the men’s IRB Sevens World Series between 2008/2009 and 2011/2012. Mean values, typical within-team variability and typical between-team differences were derived from the four annual World Series mean values for 23 performance indicators. Linear mixed modelling was employed to quantify the effect of an increase in performance indicator values (from typically low to typically high) on logarithmically-transformed series ranking within and between teams. Ten indicators had clear substantial between-team effects (2- to 3-fold differences) on team ranking, but only five had clear substantial within-team effects (∼1.5-fold changes). Tries scored and tries conceded had the strongest effects on ranking. Tactics that improved team ranking were based on increasing ball retention in line-outs and the breakdown, turning over possession more frequently in opposition rucks, and pressuring the opposition in their territory by kicking fewer short restarts. These findings confirm the intuitive importance of some common performance indicators and provide valuable novel insights for tactical planning.
A biologically inspired CPG-ZMP control system for the real-time balance of a single-legged belly dancing robot

Recently, a few researchers have started to realize that in order for humanoid robots to move more naturally, it is necessary for them to incorporate a flexible spine in their robots. So far, nobody has come out with a solution which allows their spine robots to maintain balance in real-time. This paper presents a biologically inspired, hybrid CPG-ZMP controller for a single-legged, flexible spine belly dancing robot. Using only two control parameters, our robot can generate rhythmic and wave-like spine motions through the CPG component. By monitoring the torque at the robot's ankle, the ZMP component allows the robot to maintain balance in real-time. Unlike traditional ZMP-based controllers, no modeling of the robot's dynamics or explicit computations of the zero moment point are required. The resultant robot's motions emerge automatically in real-time through dynamic interactions between the robot, its neural network and the environment. Experimental results indicate that our controller has the potential to be applied to a new generation of flexible spine, biped walking humanoid robots.