Miracle-dz/UniFAR-FTUs huggingface dataset:
Logistic regression analysis for Predicting Methicillin-resistant Staphylococcus Aureus (MRSA) in-hospital mortality

Statistical models have been widely used in public health and made a difference in a wide range of applications. For example, they provide new ideas for efficient feature selection. This paper attempts to demonstrate how to apply regression-based methods to accurately predict in-hospital mortality of Methicillin-resistant Staphylococcus Aureus (MRSA) patients. Logistic regression is used to predict the in-hospital death. It is found that admission age, residency, solid tumor, hemic malignancy, COAD, Dementia, PLT, Lymphocyte, Urea, and ALP are the significant prognostic factors (P&#60;0.1) for in-hospital survival. Using cross validation and random splitting and the prediction accuracy is around 85%. The future research direction is to strengthen the robustness of the predictive model. Possible direction is to make use of other data mining “blackbox” methods, such as k-NN and SVM. These models also need further validation on their performance and feature selection.
Speech Language Processing Interface for Object-Oriented Application Design using a Rule-based Frame

The looks and styles of software engineering have been completely changed from last two decades. So many modern software paradigms have been introduced called object-oriented design and modeling techniques. Objectoriented design is concerned with developing an objectoriented model of a software system to implement the identified user requirements. Unified Modeling Language is one of the modern object-oriented modeling and mapping tool. Class diagram can be drawn if the objects and there concerning attributes and methods are available. This paper presents a natural language processing based automated system for identifying the objects and their associated attributes and methods. This extracted knowledge can be used to draw further UML based object-oriented application design. User writes the requirements in simple English in a few paragraphs and the designed system has conspicuous ability to analyze the given script. The designed system provides a quick and reliable way to generate UML diagrams to save the time and budget of both the user and system analyst.
Diffusion approximation of Lévy processes with a view towards finance

Abstract Let the (log-)prices of a collection of securities be given by a d-dimensional Lévy process Xt having infinite activity and a smooth density. The value of a European contract with payoff g(x) maturing at T is determined by E[g(XT )]. Let be a finite activity approximation to XT , where diffusion is introduced to approximate jumps smaller than a given truncation level ∈ > 0. The main result of this work is a derivation of an error expansion for the resulting model error, , with computable leading order term. Our estimate depends both on the choice of truncation level ∈ and the contract payoff g, and it is valid even when g is not continuous. Numerical experiments confirm that the error estimate is indeed a good approximation of the model error. Using similar techniques we indicate how to construct an adaptive truncation type approximation. Numerical experiments indicate that a substantial amount of work is to be gained from such adaptive approximation. Finally, we extend the previous model error estimates to the case of Barrier options, which have a particular path dependent structure.
Bottom-up or top-down?: A comparative analysis of electronic health record diffusion in Ireland and Israel

Purpose – The limited success of electronic health records (EHRs) implementation in the healthcare services in general, and a national EHR in particular, requires better understand and documentation of the current drivers and inhibitors of EHR adoption, together with a definition of a national EHR. This paper aims to address these issues.Design/methodology/approach – Factors affecting EHR adoptions are elicited from extant literature and the stakeholder/actor framework is used as the theoretical framework. The multiple case study approach is used as the research method, and data are collected in Ireland and Israel by interviews and analysed using text coding methods.Findings – Factors elicited in the literature are generally corroborated, yet the salient factor on the localized perspective appears to be the degree of centralization of the healthcare services; while different factors affect the national perspective. In summary, it seems that Israel is more ready for national EHR implementation than Ireland.
Routing Algorithm that Broadcasts Bitmap with Random Waiting for Wireless Sensor Networks

This paper describes a routing algorithm that broadcasts a bitmap with random waiting to reduce the number of messages transferred when establishing routing paths. Existing routing algorithms do not include routing tables for determining a path, as this would increase the cost, since sensor nodes are invariably mobile and have a limited capacity and restricted resources. However, this study proposes a sensor node that includes a routing table in the form of a bitmap, thereby reducing the size of the routing table. A bitmap is formed with a two-dimensional array, where each row and column are represented by one bit. Plus, when a node transfers routing information, it must wait randomly before transmitting to its neighbors, allowing redundant paths to open up when the bitmap is broadcast. After broadcasting, if a node then receives a bitmap from other adjacent nodes, it only updates its own bitmap. Thus, each node has a bitmap with partial link information on the network, rather than total link information. As a result, the proposed routing algorithm effectively reduces the number of messages involved in routing establishment when compared to existing algorithms.
Design and baseline characteristics of a coronary heart disease prospective cohort: two-year experience from the strategy of registry of acute coronary syndrome study (ERICO study)

OBJECTIVES: To describe the ERICO study (Strategy of Registry of Acute Coronary Syndrome), a prospective cohort to investigate the epidemiology of acute coronary syndrome. METHODS: The ERICO study, which is being performed at a secondary general hospital in Sao Paulo, Brazil, is enrolling consecutive acute coronary syndrome patients who are 35 years old or older. The sociodemographic information, medical assessments, treatment data and blood samples are collected at admission. After 30 days, the medical history is updated, and additional blood and urinary samples are collected. In addition, a retinography, carotid intima-media thickness, heart rate variability and pulse-wave velocity are performed. Questionnaires about food frequency, physical activity, sleep apnea and depression are also applied. At six months and annually after an acute event, information is collected by telephone. RESULTS: From February 2009 to September 2011, 738 patients with a diagnosis of an acute coronary syndrome were enrolled. Of these, 208 (28.2%) had ST-elevation myocardial infarction (STEMI), 288 (39.0%) had non-ST-elevation myocardial infarction (NSTEMI) and 242 (32.8%) had unstable angina (UA). The mean age was 62.7 years, 58.5% were men and 77.4% had 8 years or less of education. The most common cardiovascular risk factors were hypertension (76%) and sedentarism (73.4%). Only 29.2% had a prior history of coronary heart disease. Compared with the ST-elevation myocardial infarction subgroup, the unstable angina and non-ST-elevation myocardial infarction patients had higher frequencies of hypertension, diabetes, prior coronary heart disease (p<0.001) and dyslipidemia (p = 0.03). Smoking was more frequent in the ST-elevation myocardial infarction patients (p = 0.006). CONCLUSIONS: Compared with other hospital registries, our findings revealed a higher burden of CV risk factors and less frequent prior CHD history.
The outcomes of running a sport camp for children and youth with visual impairments on faculty members’ teaching, research, and service activities: a case study

Abstract We explored the outcomes of running a sport camp for children and youth with visual impairment on faculty members’ roles. Seven adapted physical activity faculty members were interviewed. Questionnaires and documents were also analyzed and a variety of strategies were employed to ensure the study’s trustworthiness. Regarding the teaching role, disability knowledge and real life examples gave faculty more credibility in conducting their class. As for the research role, the outcomes were not shared by the majority of participants and seemed to rely on aspects such as camp maturity, directors’ aptitudes, and partnerships. In turn, running the camp was a means for faculty members to perform their external service roles. These potential outcomes may become a significant part of the process by which people enact their institutional roles and may serve as a framework for future studies with a more hypothesis-driven approach.
Hover Cursor: Improving Touchscreen Acquisition Of Small Targets With Hover-enabled Pre-selection

Even with highly-sensitive touchscreens and emphasis on "designing for touch", small target selection remains difficult. Good touch performance cannot solve the "fat-finger" problem, which results from occlusion and the size disparity between fingers and targets. We propose Hover Cursor, a method to improve small target selection using hover-sensing over a touchscreen. Using a capacitive touch sensor that also provides hover data, the hover position of the user's finger is displayed with a cursor, and selection is performed with a tap. In a Fitts' study, we compared Hover Cursor with direct-touch selection. Users made fewer selection errors with Hover Cursor. Hover Cursor was slower overall, but faster and more accurate for small targets.
Xenophobia, nationalism and techniques of difference

This special issue on ‘Xenophobia, nationalism and techniques of difference’ begins with a provocation: a series of flags which can be construed as the legitimate narrative around organisation, celebration and campaigning, an urgent call for action or solidarity. Two versions of the same flag are presented that are essentially formal inversions. Each calls up a specific stylised emblem, beginning with the organisational flag – a palisade fence; followed by the rally flag an eight-point star. The ceremonial flag reads GROIN in bold capital letters, presumably the abbreviated name of the movement, but also a puzzling word, with its bodily or sexual connotations. The parade flags could be read as an architectural detail, and similar to the fence in the first flag points to a barrier or wall. There is only one campaign flag, depicting the shape of a knife or machete poised upward at an angle, with the bottom end of the handle forming a drop. As the last flag in the series it is the most aggressive one, an obvious call to violence, declaring the means and stakes of GROIN. In colour the flags appear more fascist than in their black and white versions, aligning themselves with the forceful graphics and rhetorics associated with extremism.
Place-Based Investment Model of Talent Development

The place-based investment model (PBIM) of talent development is a programming model for developing talents of high-potential youth in ways that could serve as an investment in the community. In this article, we discuss the PBIM within rural contexts. The model is grounded in three theories—Moon’s personal talent development theory, Sternberg’s theory of successful intelligence, and social cognitive career theory—and specifies five pathways for developing talent: (a) enrichment, (b) advanced learning, (c) human connections, (d) entrepreneurial thinking, and (e) specialized guidance. Through this proposal, we intend to focus place-based talent development efforts in rural areas on giving high-potential young people the knowledge, skills, and tools for understanding themselves, for developing their strengths and passions, and for recognizing localized opportunities for achieving self-fulfillment in adulthood.
Automatic recognition of speaker physical load using posterior probability based features from acoustic and phonetic tokens

This paper presents an automatic speaker physical load recognition approach using posterior probability based features from acoustic and phonetic tokens. In this method, the tokens for calculating the posterior probability or zero-order statistics are extended from the conventional MFCC trained Gaussian Mixture Models (GMM) components to parallel phonetic phonemes and tandem feature trained GMM components. Phoneme recognizers from five different languages are employed to extract the phoneme posterior probabilities. We show that these histogram style features at both the acoustic and phonetic levels are effective and complementary for capturing the speaker physical load information from short utterances. Support vector machine is adopted as the supervised classifier. By combining the proposed methods with the OpenSMILE baseline which covers the acoustic and prosodic information further improves the final performance. The proposed fusion system achieves 70.18% and 72.81% unweighted accuracy on the validation and test set of the Munich Bio-voice Corpus for the binary physical load level recognition task in the INTERSPEECH 2014 Computational Paralinguistics Challenge.
On shifted products which are powers

Fermat gave the first example of a set of four positive integers {a1, a2, a3, a4} with the property that aiaj + 1 is a square for 1 ≤ i < j ≤ 4. His example was {1, 3, 8, 120}. Baker and Davenport [1] proved that the example could not be extended to a set of 5 positive integers such that the product of any two of them plus one is a square. Kangasabapathy and Ponnudurai [6], Sansone [9] and Grinstead [4] gave alternative proofs. The construction of such sets originated with Diophantus who studied the problem when the ai’s are rational numbers. It is conjectured that there do not exist five positive integers such that their pairwise products are all one less than the square of an integer. Recently Dujella [3] proved that there do not exist nine such integers. In this note we address the following related problem. Let V denote the set of pure powers, that is the set of positive integers of the form x with x and k positive integers and k > 1. How large can a set of positive integers A be if aa + 1 is in V whenever a and a are distinct integers from A? We expect that there is an absolute bound for |A|, the cardinality of A. While we have not been able to establish this result, we have been able to prove that such sets cannot be very dense.
Author ' s personal copy A localized algorithm for Structural Health Monitoring using wireless sensor networks

Structural Health Monitoring (SHM) has been proving to be a suitable application domain for wireless sensor networks, whose techniques attempt to autonomously evaluate the integrity of structures, occasionally aiming at detecting and localizing damage. In this paper, we propose a localized algorithm supported by multilevel information fusion techniques to enable detection, localization and extent determination of damage sites using the resource constrained environment of a wireless sensor network. Each node partakes in different network tasks and has a localized view of the whole situation, so collaboration mechanisms and multilevel information fusion techniques are key components of this proposal to efficiently achieve its goal. Experimental results with the MICAz mote platform showed that the algorithm performs well in terms of network resources utilization. 2012 Elsevier B.V. All rights reserved.
Focal Stack Compositing for Depth of Field Control

Many cameras provide insufficient control over depth of field . Some have a fixed aperture; others have a variable aperture th at is either too small or too large to produce the desired amount f blur. To overcome this limitation, one can capture a focal st ck, which is a collection of images each focused at a different de p h, then combine these slices to form a single composite that exh ibits the desired depth of field. In this paper, we present a theory o f focal stack compositing, and algorithms for computing images wit h extended depth of field, shallower depth of field than the lens ap erture naturally provides, or even freeform (non-physical) depth of field. We show that while these composites are subject to halo artif acts, there is a principled methodology for avoiding these artifa c s—by feathering a slice selection map according to certain rules before computing the composite image. CR Categories: I.4. 3 [Image Processing and Computer Vision]: Enhancement—Geometric correction; I.3. 3 [Computer Graph ics]: Picture/Image Generation—Display algorithms
A Comparison of the Seasonal Movements of Tiger Sharks and Green Turtles Provides Insight into Their Predator-Prey Relationship

During the reproductive season, sea turtles use a restricted area in the vicinity of their nesting beaches, making them vulnerable to predation. At Raine Island (Australia), the highest density green turtle Chelonia mydas rookery in the world, tiger sharks Galeocerdo cuvier have been observed to feed on green turtles, and it has been suggested that they may specialise on such air-breathing prey. However there is little information with which to examine this hypothesis. We compared the spatial and temporal components of movement behaviour of these two potentially interacting species in order to provide insight into the predator-prey relationship. Specifically, we tested the hypothesis that tiger shark movements are more concentrated at Raine Island during the green turtle nesting season than outside the turtle nesting season when turtles are not concentrated at Raine Island. Turtles showed area-restricted search behaviour around Raine Island for ∼3–4 months during the nesting period (November–February). This was followed by direct movement (transit) to putative foraging grounds mostly in the Torres Straight where they switched to area-restricted search mode again, and remained resident for the remainder of the deployment (53–304 days). In contrast, tiger sharks displayed high spatial and temporal variation in movement behaviour which was not closely linked to the movement behaviour of green turtles or recognised turtle foraging grounds. On average, tiger sharks were concentrated around Raine Island throughout the year. While information on diet is required to determine whether tiger sharks are turtle specialists our results support the hypothesis that they target this predictable and plentiful prey during turtle nesting season, but they might not focus on this less predictable food source outside the nesting season.
Genetic Variations of the KISS1R Gene in Korean Girls with Central Precocious Puberty

The timing of puberty onset varies greatly among individuals, and much of this variation is modulated by genetic factors. This study aimed to identify the kisspeptin receptor (KISS1R) gene variations and to investigate the associations between these variations and central precocious puberty (CPP). Korean girls with CPP (n = 194) and their healthy controls (n = 99) were included in this study. The entire coding region and the exon-intron boundaries (exon 1 through 5) of the KISS1R gene were directly sequenced. Seven polymorphisms were identified in the KISS1R gene. A missense change c.1091T>A, and an intron variant c.738+64G>T showed significantly higher allele frequencies in CPP patients than in controls (c.1091T>A: 30.7% vs. 22.2%, P = 0.031; c.738+64G>T: 45.6% vs. 35.9%, P = 0.023). The missense variant (c.1091T>A) was a nonsynonymous polymorphism that induces amino acid substitution of p.Leu364His. The haplotype CAGTGTC was detected more frequently in the CPP group (P = 0.042). The sequence variants of the KISS1R gene can be inducible factors in the development of CPP. The association between sequence variants and CPP should be validated by further evidence obtained from larger samples of children with CPP.
Novice Users Trust on Innovative Technology: A Theoretical Analysis in the Context of Data Mining

Although data mining has been widely and successfully used in businesses, research into how novice end users might make an adoption decision is sparse and much needed. This paper employs a view that trust is generally assumed to be an important precondition for the adoption of any information technology (IT) and provides a theoretical analysis to identify the antecedents of trust in data mining technology synthesizing theoretical frameworks on people’s trust in computer-mediated services as well as multiple anecdotal evidences documented in the literature. A conceptual model of trust antecedents in the context of data mining technology adoption is constructed and presented integrating literature and diverse perspectives. The model illustrates that trust of IT artifact is one of core antecedents to the adoption of data mining technology and trust formation process differently affects novice users. We posit that the successful adoption of data mining technology by novice users is contingent on the level of relevant factors in IT artifact trust formation process. Overall, this article contributes to both theory and practice by shedding light on the largely ignored role of trust in adopting particular IT artifact with the example of data mining technology.
Calibrating Software Cost Models to Department of Defense DatabasesA Review of Ten Studies

Abstract There are many sophisticated parametric models for estimating the size, cost, and schedule of software projects. In general, the predictive accuracy of these models is no better than within 25 percent of actual cost or schedule, about one half of the time (Thibodeau, 1981; IIT Research Institute, 1988). Several authors assert that a model's predictive accuracy can be improved by calibrating (adjusting) its default parameters to a specific environment (Kemerer, 1987; Van Genuchten and Koolen, 1991; Andolfi et al. 1996). This paper reports the results of a long-term project that tests this assertion.
The Resident-intruder Paradigm: A Standardized Test for Aggression, Violence and Social Stress

This video publication explains in detail the experimental protocol of the resident-intruder paradigm in rats. This test is a standardized method to measure offensive aggression and defensive behavior in a semi natural setting. The most important behavioral elements performed by the resident and the intruder are demonstrated in the video and illustrated using artistic drawings. The use of the resident intruder paradigm for acute and chronic social stress experiments is explained as well. Finally, some brief tests and criteria are presented to distinguish aggression from its more violent and pathological forms.