Miracle-dz/UniFAR-FTUs huggingface dataset:
Maximum Average Service Rate and Optimal Queue Scheduling of Delay-Constrained Hybrid Cognitive Radio in Nakagami Fading Channels

As a promising technique to improve achievable bandwidth efficiency, cognitive radio (CR) has attracted substantial research attention from both the academic and industrial communities. To improve the performance attained by the secondary user (SU), a novel hybrid CR system is proposed, which combines the conventional interweave and underlay paradigms to enhance the chance of the SU to access the spectrum. Queuing theory is invoked in this paper to analyze the impact of the primary user's maximum tolerable delay on the performance of the SU. Multiple queues are assumed for the SU, which is engaged in video communication. Apart from the Poisson traffic generation, we also model the classic Nakagami-m fading channel as a Poisson service process by utilizing the outage probability in the presence of cochannel interference. We optimize the hybrid interweave/underlay procedure to maximize the average service rate μS, max of the SU, as well as the queue's scheduling scheme, for the sake of minimizing the overall average delay (OAD). As a result, the OAD of the SU is reduced by up to 27% and 20%, compared with the proportion and round-robin schemes, respectively.
Soccer Fans' Motivation as a Predictor of Participation in Soccer-Related Activities: An Empirical Examination in Israel

This study tested the applicability of the Sport Fan Motivation Scale (SFMS) developed by Wann (1995) in the Israeli soccer setting. The study examined whether the scale can be applied to soccer specifically, not just to sport in general. It also tested the predictive validity of the SFMS by developing a scale of participation in soccer activities and examined several hypotheses regarding its relationship to the SFMS. The sample consisted of 327 high school students in the north of Israel (an 86% response rate). The findings showed that the SFMS predicted a significant amount of variance of participation in soccer activities. Results of regression analyses showed that eustress (positive stress), self-esteem, group, and aesthetic motivations were strongly related to active participation in soccer activities. Entertainment, self-esteem, and economic motivations were strongly related to passive participation in soccer activities. The findings are discussed in terms of their conceptual and practical contributions. Sport has become a major attraction within the leisure and tourism industries. Hence, studies of the motivation behind participation in sport and leisure activities are of increasing interest to both sport professionals and members of the tourist and leisure industries who are interested in sport and leisure planning and marketing development (Recours, Souville, & Griffet, 2004). Social science research on sport distinguishes three dimensions of sport involvement: the behavioral dimension, the cognitive dimension, and the tendency dimension (Snyder & Spreitzer, 1973). Each of these dimensions can include more than one type of involvement. For example, the behavioral involvement in sport can take two forms: 1) direct participation in sport activity, and 2) participation as a spectator or a fan by reading about sport and watching games on television or at the stadium. Earlier studies have shown that there are economic, social, and
Cost of the Cervical Cancer Screening Program at the Mexican Social Security Institute.

OBJECTIVE To estimate the annual cost of the National Cervical Cancer Screening Program (CCSP) of the Mexican Institute of Social Security (IMSS). MATERIALS AND METHODS This cost analysis examined regional coverage rates reported by IMSS. We estimated the number of cytology, colposcopy, biopsy and pathology evaluations, as well as the diagnostic test and treatment costs for cervical intraepithelial neoplasia grade II and III (CIN 2/3) and cervical cancer. Diagnostic test costs were estimated using a micro-costing technique. Sensitivity analyses were performed. RESULTS The cost to perform 2.7 million cytology tests was nearly 38 million dollars, which represents 26.1% of the total program cost (145.4 million). False negatives account for nearly 43% of the program costs. CONCLUSION The low sensitivity of the cytology test generates high rates of false negatives, which results in high institutional costs from the treatment of undetected cervical cancer cases.
The Need for Power in Women Who Were Sexually Abused as Children

Ten women who had been sexually abused as children and a matched group of women who had not been sexually abused participated in a preliminary study to explore the hypothesis that feelings of powerlessness and a compensatory need for power continue into adulthood for survivors of childhood sexual abuse. The Picture-Story Exercise (PSE) was used as an indirect assessment technique to determine the level of the need for power (McClelland, 1985; Winter, 1973, 1988). Results indicated that the stories of women with sexual abuse histories revealed a higher need for power and greater fear of power than those of nonabused women. Further content analysis of the PSE revealed that sexual abuse survivors' stories also contained more references to Finkelhor and Browne's (1986) dynamics of powerlessness, traumatic sexualization, betrayal, and stigmatization. These findings suggest important directions for future research as well as areas for therapeutic exploration.
Tolerance to Cardiac Allografts Via Local and Systemic Mechanisms After Adenovirus-Mediated CTLA4Ig Expression1

Blockade of the CD28/B7 T cell costimulatory pathway prolongs allograft survival and induces tolerance in some animal models. We analyzed the efficacy of a CTLA4Ig-expressing adenovirus in preventing cardiac allorejection in rats, the mechanisms underlying heart transplant acceptance, and whether the effects of CTLA4Ig were restricted to the graft microenvironment or were systemic. CTLA4Ig gene transfer into the myocardium allowed indefinite graft survival (>100 days vs 9 ± 1 days for controls) in 90% of cases, whereas CTLA4Ig protein injected systemically only prolonged cardiac allograft survival (by up to 22 days). CTLA4Ig could be detected in the graft and in the serum for at least 1 year after gene transfer. CTLA4Ig gene transfer induced local intragraft immunomodulation at day 5 after transplantation, as shown by decreased expression of the IL-2R and MHC II Ags; decreased levels of mRNA encoding for IFN-γ, inducible NO synthase, and TGF-β; and inhibited proliferative responses of graft-infiltrating cells. Systemic immune responses were also down-modulated, as shown by the suppression of Ab production against donor alloantigens and cognate Ags, up to at least 120 days after gene transfer. Alloantigenic and mitogenic proliferative responses of graft-infiltrating cells and total splenocytes were inhibited and were not reversed by IL-2. In contrast, lymph node cells and T cells purified from splenocytes showed normal proliferation. Recipients of long-term grafts treated with adenovirus coding for CTLA4Ig showed organ and donor-specific tolerance. These data show that expression of CTLA4Ig was high and long lasting after adenovirus-mediated gene transfer. This expression resulted in down-modulation of responses against cognate Ags, efficient suppression of local and systemic allograft immune responses, and ultimate induction of donor-specific tolerance.
Communication steps for parallel query processing

We consider the problem of computing a relational query q on a large input database of size n, using a large number p of servers. The computation is performed in rounds, and each server can receive only O(n/p1-ε) bits of data, where ε ∈[0,1] is a parameter that controls replication. We examine how many global communication steps are needed to compute q. We establish both lower and upper bounds, in two settings. For a single round of communication, we give lower bounds in the strongest possible model, where arbitrary bits may be exchanged; we show that any algorithm requires ε ≥ 1--1/τ*, where τ* is the fractional vertex cover of the hypergraph of q. We also give an algorithm that matches the lower bound for a specific class of databases. For multiple rounds of communication, we present lower bounds in a model where routing decisions for a tuple are tuple-based. We show that for the class of tree-like queries there exists a tradeoff between the number of rounds and the space exponent ε. The lower bounds for multiple rounds are the first of their kind. Our results also imply that transitive closure cannot be computed in O(1) rounds of communication.
Developing the static fire danger index using geospatial technology

Forest fires in Uttarakhand state have considerable economic, social and environmental impacts on humans and biodiversity. Forest fire danger indices are important tools for mitigating and suppressing forest fires, but, operational fire danger index system has not been developed for the India. In general, Fire danger indices have been developed based on the parameters which are associated for the cause of ignition, spreading of forest fires. These properties include forest fuel type, topographic conditions and moisture conditions. Vegetation and topographic conditions are static, i.e. they do not change frequently, whereas moisture conditions are dynamic. Dynamic properties such as air temperature, relative humidity, wind speed changes regularly in a day. In this study, Static Fire danger Index has been developed using MODIS Land cover type yearly L3 global 500 m SIN grid (MCD12Q1) and ASTER GDEM datasets. International Geosphere-Biosphere Programme (IGBP) land cover type has been generated from MCD12Q1, which has been used to compute the forest fuel type index based on historical fire data. Slope danger index, Aspect danger index, Elevation danger index and Terrain rugged Index has been computed from the ASTER GDEM datasets. Finally, Static Fire Danger Index has been developed by integrating the above mentioned indices. Estimated accuracy of static fire danger index was around 95%, i.e. developed static fire danger index was accurately model the fire danger over the study area.
Mixed-integer programming for automatic walking step duration

This paper presents a mixed-integer model predictive controller for walking. In the proposed scheme, mixed-integer quadratic programs (MIQP) are solved online to simultaneously decide center of mass jerks, footsteps positions and steps durations while respecting actuation, geometry, and contact constraints. Simulation results show that this MIQP scheme is able to keep balance while a fixed step duration controller fails in situations where the robot faces very strong disturbances.
WORKING WITH PIERRE BOURDIEU IN THE TOURISM FIELD MAKING A CASE FOR ‘THIRD WORLD’ TOURISM

Tourism in the ‘third world’ is seen as a consumption of culture, and attempts at investigating it within a cultural studies framework have not adequately addressed key social and cultural aspects. Bourdieu's analytical legacy which is significant as a cultural legacy is largely misappropriated. This article, reviewing recent research in cultural studies in tourism, highlights and critically interrogates the treatment Bourdieu's theory has received in tourism studies. Arguing that Bourdieu's sociological framework is often misinterpreted, this article sketches out the key components of a Bourdieusian approach to a cultural analysis of tourism. Reflexive return in tourism research remains largely unexplored. This conceptual paper emphasizes the significance of working with Bourdieusian methodological approach and explores the possibilities of employing a reflexive sociology in tourism studies. The paper further highlights the difficulties of pursuing such a theoretical approach and proposes the need to accommodate recent theoretical and empirical challenges to Bourdieu's paradigm.
Loop forming snake-like robot ACM-R7 and its Serpenoid Oval control

This paper discusses the design of a new snake-like robot without wheels, named ACM-R7. It has 18 DOFs, is 1.6m in length and weighs 11.7kg. It features a water-tight structure, a large motion range pitch joint of ±90 degree and a high output-power actuator arrangement, based on the coupled drive concept. Furthermore the control method “Loop Gait” is discussed. For this gait the ACM-R7 forms a loop shape and rolls like a wheel on the rim. We introduce the “Serpenoid Oval” for the loop shape. It s formed by a smooth sinusoidal angular motion of the joints. Moreover we consider the modification of the “Serpenoid Oval” for steering and obstacle avoidance. The performance is then verified by several motion experiments.
DEAD box 1 (DDX1) expression predicts for local control and overall survival in early stage, node‐negative breast cancer

DEAD box 1 (DDX1) is an RNA helicase with a number of roles, including translation initiation, RNA splicing and modification, and possibly DNA double‐strand break repair. Amplification of DDX1 expression has been implicated in tumors including neuroblastoma, Wilms tumor, retinoblastoma, and testicular carcinoma. The purpose of this study was to evaluate the prognostic significance of DDX1 expression in patients with breast cancer treated with breast‐conserving therapy.
Hybrid Approach for Moving Object detection and Retrieving in Video

Object detection is the process offending moving objects such as animals, human beings and vehicles in videos. Object detection algorithms are typically used to extracted features and learning algorithms to recognize instances of the objects. The moving object detection is commonly used in applications such as security, surveillance, automated vehicle parking systems and image retrieval. The moving object detection has application in more areas of computer vision, video surveillance and image retrieval. The input video is converted into frames. The video is pre-processed to remove the noises from the frames. The moving objects are detected from the frames by initially identifying the object position to applying background subtraction. The morphological operations and thresholding operation were applied to extract the moving object alone. The object pixels are grouped and identified positions then represented in different color in order to obtain them exactly. A new approach to track the moving object in crowded scenes. The sequential labelling outperforms the state-of-the-art on challenging real-world videos of football, volleyball and pedestrians walking.
Impulsivity and Pathological Gambling: A Descriptive Model

The DSM-IV-TR classifies pathological gambling as a disorder of impulse control. Empirical studies have noted elevated levels of impulsivity in pathological gamblers and putative functional relationships between impulsivity, severity of gambling problems and treatment attrition. However the concept of impulsivity has been variably defined with a persistent failure to clearly articulate the specific nature of impulsivity as a state or trait or its role in the etiology and maintenance of pathological gambling. This paper: (a) reviews the literature on impulsivity as it relates to gambling behaviour; and (b) proposes a descriptive model that integrates predisposing factors, individual differences, sociological influences, cognitive factors, and affective interpretations that combine to generate dysfunctional forms of impulsivity that fuels the gambling cycle; and (c) explores directions for further theoretical and empirical investigation.
Identifying domain patterns using software stability

The fact that domain applications share core aspects has turned software reuse into a viable option. System development has experienced time saving, cost saving, and the luxury of deploying proven-to-work solutions as main advantages of software reuse. Software patterns represent a major approach for reuse. Domain patterns capture system components shared by different applications that belong to the same context. In this paper, we propose a new approach to identifying and reusing domain patterns based on software stability. We show that enduring business themes and business objects, together, can form a pattern among domain applications. We, also, present three case studies to show how the new approach can be applied.
Paromomycin inhibits Cryptosporidium infection of a human enterocyte cell line.

Cryptosporidium parvum is a protozoan parasite that causes severe enteritis in patients with AIDS for which there is no effective therapy. Paromomycin is a nonabsorbable aminoglycoside that is effective in the treatment of other intestinal protozoa. The ability of paromomycin to inhibit C. parvum infection of a differentiated human enterocyte cell line was evaluated in vitro. Paromomycin concentrations ranging from 50 to 5000 micrograms/ml inhibited infection at 24 h in a dose-dependent fashion. Concentrations greater than 1000 micrograms/ml, which are theoretically achievable in the bowel lumen, inhibited infection by greater than 85% (P less than .001). Prospective clinical trials of paromomycin for the treatment of cryptosporidiosis in patients with AIDS are warranted.
Multiple Mechanisms for Elongation Processivity within the Reconstituted Tetrahymena Telomerase Holoenzyme*

To maintain telomeres, telomerase evolved a unique biochemical activity: the use of a single-stranded RNA template for the synthesis of single-stranded DNA repeats. High repeat addition processivity (RAP) of the Tetrahymena telomerase holoenzyme requires association of the catalytic core with the telomere adaptor subcomplex (TASC) and an RPA1-related subunit (p82 or Teb1). Here, we used DNA binding and holoenzyme reconstitution assays to investigate the mechanism by which Teb1 and TASC confer high RAP. We show that TASC association with the recombinant telomerase catalytic core increases enzyme activity. Subsequent association of the Teb1 C-terminal domain with TASC confers the capacity for high RAP even though the Teb1 C-terminal domain does not provide a high-affinity DNA interaction site. Efficient RAP also requires suppression of nascent product folding mediated by the central Teb1 DNA-binding domains (DBDs). These sequence-specific high-affinity DBDs of Teb1 can be functionally substituted by the analogous DBDs of Tetrahymena Rpa1 to suppress nascent product folding but only if the Rpa1 high-affinity DBDs are physically tethered into holoenzyme context though the Teb1 C-terminal domain. Overall, our findings reveal multiple mechanisms and multiple surfaces of protein-DNA and protein-protein interaction that give rise to elongation processivity in the synthesis of a single-stranded nucleic acid product.
A coordinate-free framework for robotic pizza tossing and catching

In this work, we demonstrate how autonomous pizza tossing and catching can be achieved. Under the assumption that the pizza dough is grasped by a number of fingers with soft contact, we formulate the grasp constraints and use them to derive the individual and combined Euler-Lagrange dynamic equations of motion of the robotic manipulator and the dough. In particular, the dynamics of the dough is a modified version of the rigid-body dynamics, taking into account the change of inertia due to its deformation. Armed with these mathematical models, we tackle the two control problems of tossing and catching. For the tossing phase, we derive an exponentially convergent controller that stabilizes a desired velocity of the dough as it is let go. On the other hand, so as to catch the dough, we generate an optimal trajectory for the end-effector of the robotic manipulator. Finally, we derive control laws to make the optimal trajectory exponentially attractive. We demonstrate the developed theory with an elaborate simulation of the tossing and catching phases.
Toward Principles of Construct Clarity: Exploring the Usefulness of Facet Theory in Guiding Conceptualization

Conceptualization in theory development has received limited consideration despite its frequently stressed importance in Information Systems research. This paper focuses on the role of construct clarity in conceptualization, arguing that construct clarity should be considered an essential criterion for evaluating conceptualization and that a focus on construct clarity can advance conceptualization methodology. Drawing from Facet Theory literature, we formulate a set of principles for assessing construct clarity, particularly regarding a construct’s relationships to its extant related constructs. Conscious and targeted attention to this criterion can promote a research ecosystem more supportive of knowledge accumulation.
Compiling almost‐whole Java programs

This paper presents a strategy, called almost‐whole‐program compilation, for extending the benefits of whole‐program optimization to large collections of Java components that are packaged as a group after the development phase. This strategy has been implemented in a framework that uses Java visibility and scoping rules to transform a collection of classes into a package that is amenable to whole‐program optimizations, without precluding extensions to the optimized and compiled code. Thus, it enables the Java developer to balance performance against flexibility of the program after the development phase, without compromising the design process. The transformation is shown to incur only modest performance penalties, which are more than compensated for by the interprocedural optimizations it enables. The paper concludes with experimental results showing the benefits that can be achieved using this approach. Copyright © 2005 John Wiley & Sons, Ltd.
Issues Associated with the Design and Delivery of Online Instruction

This is the third in a series of three articles on the development and delivery of instruction online via the Internet and the World Wide Web. The focus of this article is on the issues and policy concerns that are emerging as K-12 schools and postsecondary institutions place instruction online. Advancements in technology have made possible the delivery of instruction via the Internet. This has resulted in a number of issues surfacing as barriers and created the need for policies. These concerns have been made even more complicated by the lack of standards to guide those engaged in instructional development. This article discusses issues that K-12 school and institutions of higher education are encountering as they respond to the demand for online instruction.
Integrating Markov Model with KNN Classification for Web Page Prediction

World Wide Web is growing rapidly in recent years. User’s experience on the internet can be improved by minimizing user’s web access latency. This can be done by predicting the next step taken by user towards the accessing of web page in advance, so that the predicted web page can be prefetched and cached. So to improve the quality of web services, it is required to analyze the user web navigation behavior. Analysis of user web navigation behavior is achieved through modeling web navigation history. Markov model is widely used to model the user web navigation sessions. Although traditional Markov models have helped predict user access behavior, they have serious limitations In this paper, we analyze and study Markov model and all-Kth Markov model in Web prediction. We propose new two-tier prediction frameworks that classify the user sessions, based on the KNN algorithm and then the Kth Markov Model is applied to predict the next web page. We show that such framework can improve the prediction time without compromising prediction accuracy and provides better performance over build time, search time, memory used and error rate.