Miracle-dz/UniFAR-FTUs huggingface dataset:
European Conference on Information Systems ( ECIS ) 2007 Implementing Knowledge Management Systems in Public Sector Organisations : A Case Study of Critical Success Factors

In 2006, the Government Department participating in this study deployed its Knowledge Management System (KMS): this case study describes the lessons learned by this public sector organisation in its journey towards becoming a knowledge organisation. Extant research on the implementation of KMS in organisations operating in the private sector posits a range of factors that are correlated with successful KMS implementation. This paper first outlines these factors and then employs them as an integrative analytic framework to evaluate the critical success factors (CSFs) for KMS implementation in this government organisation. The study supports the empirical fidelity of the factors presented in the framework. Yet despite the successful attainment of departmental specific CSFs, regulative influences from the institutional environment, which lay outside the locus of control of the department, led to sub-optimal outcomes in the use of the KMS in the short-term. Hence, government organisations need to understand and take into account such influences if they are to successfully implement KMS.
OxLM: A Neural Language Modelling Framework for Machine Translation

This paper presents an open source implementation 1 of a neural language model for machine translation. Neural language models deal with the problem of data sparsity by learning distributed representations for words in a continuous vector space. The language modelling probabilities are estimated by projecting a word’s context in the same space as the word representations and by assigning probabilities proportional to the distance between the words and the context’s projection. Neural language models are notoriously slow to train and test. Our framework is designed with scalability in mind and provides two optional techniques for reducing the computational cost: the so-called class decomposition trick and a training algorithm based on noise contrastive estimation. Our models may be extended to incorporate direct n-gram features to learn weights for every n-gram in the training data. Our framework comes with wrappers for the cdec and Moses translation toolkits, allowing our language models to be incorporated as normalized features in their decoders (inside the beam search).
SDF‐1/CXCR4 Axis in Tie2‐Lineage Cells Including Endothelial Progenitor Cells Contributes to Bone Fracture Healing

CXC chemokine receptor 4 (CXCR4) is a specific receptor for stromal‐derived‐factor 1 (SDF‐1). SDF‐1/CXCR4 interaction is reported to play an important role in vascular development. On the other hand, the therapeutic potential of endothelial progenitor cells (EPCs) in fracture healing has been demonstrated with mechanistic insight of vasculogenesis/angiogenesis and osteogenesis enhancement at sites of fracture. The purpose of this study was to investigate the influence of the SDF‐1/CXCR4 pathway in Tie2‐lineage cells (including EPCs) in bone formation. We created CXCR4 gene conditional knockout mice using the Cre/loxP system and set two groups of mice: Tie2‐CreER CXCR4 knockout mice (CXCR4−/−) and wild‐type mice (WT). We report here that in vitro, EPCs derived from of CXCR4−/− mouse bone marrow demonstrated severe reduction of migration activity and EPC colony‐forming activity when compared with those derived from WT mouse bone marrow. In vivo, radiological and morphological examinations showed fracture healing delayed in the CXCR4−/− group and the relative callus area at weeks 2 and 3 was significantly smaller in CXCR4−/− group mice. Quantitative analysis of capillary density at perifracture sites also showed a significant decrease in the CXCR4−/− group. Especially, CXCR4−/−group mice demonstrated significant early reduction of blood flow recovery at fracture sites compared with the WT group in laser Doppler perfusion imaging analysis. Real‐time RT‐PCR analysis showed that the gene expressions of angiogenic markers (CD31, VE‐cadherin, vascular endothelial growth factor [VEGF]) and osteogenic markers (osteocalcin, collagen 1A1, bone morphogenetic protein 2 [BMP2]) were lower in the CXCR4−/− group. In the gain‐of‐function study, the fracture in the SDF‐1 intraperitoneally injected WT group healed significantly faster with enough callus formation compared with the SDF‐1 injected CXCR4−/− group. We demonstrated that an EPC SDF‐1/CXCR4 axis plays an important role in bone fracture healing using Tie2‐CreER CXCR4 conditional knockout mice. © 2014 American Society for Bone and Mineral Research.
Experiential therapies for eating disorders

1. Introduction, Hornyak & Baker. PART I. BULIMIA NERVOSA. 2. Reclaiming the Body: Using Guided Imagery in the Treatment of Body Image Disturbance among Bulimic Women, Kearney-Cooke. 3. Hypnosis, Hypnotizability, and the Bulimic Patient, Pettinati, Kogan, Margolis, Shrier, & Wade. 4. The Use of In-session Structured Eating in the Outpatient Treatment of Bulimia Nervosa, Hoage. 5. Family Sculpting with Bulimic Families, Root. 6. Psychodrama and the Treatment of Bulimia, Callahan. 7. Dance/Movement Therapy with Bulimic Patients, Stark, Aronow, & McGeehan. 8. Art Therapy in the Long-term Psychodynamic Treatment of Bulimic Women, Morenoff & Sobol. 9. Music Therapy Improvisation Techniques with Bulimic Patients, Nolan. PART II. ANOREXIA NERVOSA. 10. The use of Metaphor/Poetry Therapy in the Treatment of the Reticent Subgroup of Anorectic Patients, Woodall & Andersen. 11. Structured Eating Experiences in the Inpatient Treatment of Anorexia Nervosa, Sparnon & Hornyak. 12. Anorexia Nervosa: Experiencing the Self through Psychodrama and Gestalt Therapy, Hudgins. 13. Disturbed Body Image in Anorexia Nervosa: Dance/Movement Therapy Interventions, Rice, Hardenbergh, & Hornyak. 14. Art Therapy and Anorexia: Experiencing the Authentic Self, Fleming. 15. Music as a Therapeutic Tool in Treating Anorexia Nervosa, Parente.
Semantic Parsing with Relaxed Hybrid Trees

We propose a novel model for parsing natural language sentences into their formal semantic representations. The model is able to perform integrated lexicon acquisition and semantic parsing, mapping each atomic element in a complete semantic representation to a contiguous word sequence in the input sentence in a recursive manner, where certain overlappings amongst such word sequences are allowed. It defines distributions over the novel relaxed hybrid tree structures which jointly represent both sentences and semantics. Such structures allow tractable dynamic programming algorithms to be developed for efficient learning and decoding. Trained under a discriminative setting, our model is able to incorporate a rich set of features where certain unbounded long-distance dependencies can be captured in a principled manner. We demonstrate through experiments that by exploiting a large collection of simple features, our model is shown to be competitive to previous works and achieves state-of-theart performance on standard benchmark data across four different languages. The system and code can be downloaded from http://statnlp.org/research/sp/.
Methodology of ECG Interpretation in the Dalhousie Program; NOVACODE ECG Classification Procedures for Clinical Trials and Population Health Surveys

Abstract The Dalhousie ECG Program was designed specifically for the needs of epidemiologic studies, health surveys, and clinical trials. The program logic is dynamic in that it can accommodate any combination of ECG leads, record length and sampling rate. The NOVACODE module of the program classifies ECGs according to the Minnesota Code, supplemented with new sets of logic criteria for conduction defects, acute myocardial infarction, and serial ECG changes. Improved statistical models are incorporated for enhanced detection of myocardial infarction using the Cardiac Infarction Injury Score, and for quantification of left ventricular mass estimation. It is anticipated that these program improvements will enhance its utility particularly in monitoring progression and regression of cardiac involvement in hypertensive and ischemic heart disease, and in the assessment of the effectiveness of intervention on cardiovascular disease risk factors.
National Performances: The Politics of Class, Race, and Space in Puerto Rican Chicago

In this book Ana Y. Ramos-Zayas explores how Puerto Ricans in Chicago construct and perform nationalism. Contrary to characterizations of nationalism as a primarily unifying force, Ramos-Zayas finds that it actually provides the vocabulary to highlight distinctions along class, gender, racial and generational lines among Puerto Ricans, as well as between Puerto Ricans and other Latino, black and white populations. Drawing on extensive ethnographic research, Ramos-Zayas shows how the performance of Puerto Rican nationalism in Chicago serves as a critique of social inequality, colonialism and imperialism, allowing barrio residents and others to challenge the notion that upward social mobility is equally available to all Americans - or all Puerto Ricans. Paradoxically, however, these activists' efforts also promote upward social mobility, overturning previous notions that resentment and marginalization are the main results of nationalist strategies. Ramos-Zayas's groundbreaking work allows her here to offer one of the most original and complex analyses of contemporary nationalism and Latino identity in the United States.
Search for Trustful Leadership in Secondary Schools

The purpose of this study is to analyse how the access to structures of empowerment by teachers in primary and secondary education impacts on their trust of the headmaster of the school management board. Using the theoretical framework of empowerment and trust in the context of companies, one adapted the constructs of these scales to the reality of primary and secondary schools. A questionnaire was presented to 112 teachers in order to evaluate the impact of empowerment structures on their trust of the leader. The results obtained indicate that a context of empowering work is significantly predictive of trust in the school’s headmaster. The teaching staff who realize that they have access to empowerment structures (power, resources, opportunities, support and information) and feel that they can exercise some influence on the organization of their workplace are in a better position to trust the headmaster. The results are discussed and the contributions of the study to theory and to school administration are presented.
Using Mixed Methodology to Assess High Risk Sexual Behavior and Adult Stage among Bolivian Truck Drivers

Bolivia has a high STI rate and an accelerating HIV/AIDS rate. The majority of the country’s newly diagnosed HIV/AIDS cases come from the province of Santa Cruz in eastern Bolivia, where this study took place. In this study, the investigator assessed the notion that Bolivian truck drivers are a bridge population of HIV transmission within heterosexual networks. This investigation determined risks of HIV/STI transmission through interviews, surveys, and workshops given to the truck drivers. Special attention was given to self reports of sexual behavior, cognitions and ego maturation stages, in order to assess risk. Mixed methodology was the research paradigm of choice, utilizing qualitative and quantitative phases. Workshops were designed, implemented, and evaluated. Analysis was completed on survey results from 246 male truckers (aged 18 to 67). More than half (56%) of these truckers admitted to having sex with casual partners. In addition, from 30% (quantitative inquiry) to 52% (qualitative inquiry) of these truck drivers have had sexually transmitted infections. Three factors predicted condom use: Age, Outcome expectancies, and Perceived social norms. Only one factor predicted STI history: Number of sex partners. Adult stage theory did not directly impact sexual behavior. A high risk of HIV/STI transmission has been detected in Bolivian truck drivers. This notion supports other studies involving truck drivers, and calls attention to the need for tailored health education programs for this population. Furthermore, younger truck drivers are at greater risk of HIV transmission than older truck drivers, in spite of their increased condom use.
Semantics and Complexity of Question Answering Systems: Towards a Moore's Law for Natural Language Engineering

1. There’s a proliferation of QA systems and NL chat systems on the Web and in intranets (e.g. www.neuromedia.com or www.ask.com). The question arises: how far are these systems from "real" NLU? After all, they seem to follow Eliza. Do they? How do we settle such questions? 2. QA systems typically comprise of an NL understanding systems and a knowledge base/database. Given a user’s query, what is the complexity of retrieving the information from the database? How do we approach this problem? What does it mean that one query is more complex than the other? 3. NLP is in demand. For this demand to be sustained we need a "Moore’s Law for natural language engineering", so that the business community could understand what is possible when and at what price.
A new method for estimating the effort required to control an infectious disease

We propose a new threshold quantity for the analysis of the epidemiology of infectious diseases. The quantity is similar in concept to the familiar basic reproduction ratio, R0, but it singles out particular host types instead of providing a criterion that is uniform for all host types. Using this methodology we are able to identify the long–term effects of disease–control strategies for particular subgroups of the population, to estimate the level of control necessary when targeting control effort at a subset of host types, and to identify host types that constitute a reservoir of infection. These insights cannot be obtained by using R0 alone.
Physically-Based Haptic Synthesis

The phrase “haptic rendering” was introduced by Salisbury et al. [1995] to designate a set of “algorithms for generating the force of interaction with virtual objects”. In this seminal paper many of the key issues associated with the implementation of virtual mechanical environments were first described. Here, we would like to comment on the concept of “haptic synthesis”, a set of algorithms designed to reduce the amount of online computations to a small and predictable amount, and yet able to synthesize signals which are physically accurate. The desire for a fixed, reduced amount of computation isn’t primarily motivated by the limitations of today’s microprocessors, but rather by basic facts about the physics of mechanical interaction between the macroscopic objects of interest in virtual reality simulations. This chapter discusses a set of algorithms to reconstruct interaction forces between virtual objects in a physically accurate manner. They must be fast enough to minimize the creation of spurious energy resulting from the discrete-time realization of displacement-to-force relationships. The most fundamental is an algorithm to compute the force of friction. Another algorithm is then described for sharp cutting, a close cousin of friction because of its dissipative nature. Synthesis of the nonlinear deformation response of arbitrary bodies is then considered. Textural effect are discussed in terms of small perturbations to the nominal signal. Finally, a simple shock synthesis technique based on Hertzian contacts is described. The haptic synthesis algorithms described in this chapter can be regarded as building blocks for a complete rendering system, and used together with other algorithms presented in this book. Long ago it was noticed that when simulating an elastic element with a haptic device where the manipulandum position is measured and the returned force is commanded,
On Molecular Timing Channels with α-Stable Noise

This work studies communication over molecular timing (MT) channels with α-Stable noise. The transmitter simultaneously releases multiple small information particles, where the information is encoded in the time of release. The receiver decodes the transmitted information based on the random time of arrival of the information particles, which is represented as an additive noise channel. For a diffusion-based MT channel, without flow, this noise follows the Lévy distribution. For this case, the maximum-likelihood (ML) detector is derived and shown to have high computational complexity. It is further shown that for any additive channel with α-stable noise, α < 1, such as the DBMT channel, a linear receiver is not able to take advantage of the release of multiple information particles. Thus, instead of the common low complexity linear approach, a new detector, which is based on the first arrival (FA) among all the transmitted particles, is derived. It is shown that for small number of particles the performance of the FA detector is very close to that of the ML detector. On the other hand, via error exponent analysis, it is shown that the performance of the two detectors differ when the number of sent particles is large. Thus, in the regime of small to medium number of sent particles, the FA detector is an attractive alternative to the relatively complicated ML detector.
The Complexity of Testing Properties of Simple Games

Simple games cover voting systems in which a single alternative, such as a bill or an amendment, is pitted against the status quo. A simple game or a yes-no voting system is a set of rules that specifies exactly which collections of ``yea'' votes yield passage of the issue at hand. A collection of ``yea'' voters forms a winning coalition. We are interested on performing a complexity analysis of problems on such games depending on the game representation. We consider four natural explicit representations, winning, loosing, minimal winning, and maximal loosing. We first analyze the computational complexity of obtaining a particular representation of a simple game from a different one. We show that some cases this transformation can be done in polynomial time while the others require exponential time. The second question is classifying the complexity for testing whether a game is simple or weighted. We show that for the four types of representation both problem can be solved in polynomial time. Finally, we provide results on the complexity of testing whether a simple game or a weighted game is of a special type. In this way, we analyze strongness, properness, decisiveness and homogeneity, which are desirable properties to be fulfilled for a simple game.
Bias and High-Dimensional Adjustment in Observational Studies of Peer Effects

Abstract Peer effects, in which an individual’s behavior is affected by peers’ behavior, are posited by multiple theories in the social sciences. Randomized field experiments that identify peer effects, however, are often expensive or infeasible, so many studies of peer effects use observational data, which is expected to suffer from confounding. Here we show, in the context of information and media diffusion, that high-dimensional adjustment of a nonexperimental control group (660 million observations) using propensity score models produces estimates of peer effects statistically indistinguishable from those using a large randomized experiment (215 million observations). Compared with the experiment, naive observational estimators overstate peer effects by over 300% and commonly available variables (e.g., demographics) offer little bias reduction. Adjusting for a measure of prior behaviors closely related to the focal behavior reduces this bias by 91%, while models adjusting for over 3700 past behaviors provide additional bias reduction, reducing bias by over 97%, which is statistically indistinguishable from unbiasedness. This demonstrates how detailed records of behavior can improve studies of social influence, information diffusion, and imitation; these results are encouraging for the credibility of some studies but also cautionary for studies of peer effects in rare or new behaviors. More generally, these results show how large, high-dimensional datasets and statistical learning can be used to improve causal inference. Supplementary materials for this article are available online.
Homocysteine, Vitamin B12, and Folic Acid in Age-Related Macular Degeneration

Purpose Hyperhomocysteinemia is considered an independent risk factor for atherosclerosis and thrombosis. The purpose of this study was to evaluate plasma homocysteine, red blood cell folate, plasma folate, and plasma vitamin B12 concentration in patients with exudative age-related macular degeneration (ARMD). Methods The participants of this study included 30 patients aged 60 to llyears (mean age 66.2±3.6) with exudative ARMD. Plasma homocysteine levels were determined by high performance liquid chromatography (HPLC). Red blood cell folate, plasma folate, and plasma vitamin B12 concentration were determined using a standard kit (Dualcount Solid Phase No Boill radioassay kit for B12/folic acid, DPC Diagnostic, USA) by radioassay method. Results The plasma concentration of Hey (14.88±6.23 μmol/L) in ARMD patients was significantly increased (p<0.0001) compared with the control group (8,.72±3,.34 μmol/L). We found not a significant decrease of the plasma vitamin B12 concentration in the ARMD group (476.88±220.91 pg/mL) compared with the control group (527.08±208.97 pg/mL). Red blood cell folate (158.44±56.30 ng/mL) and plasma folate (6.5±3.4 ng/mL) in ARMD patients were also not significantly decreased when compared with the control group (183.86±59.33 ng/mL and 7.93±5.05 ng/mL). Conclusions Hyperhomocysteinemia might be one of the risk factors for the exudative form of ARMD.
Ethics and Accounting Profession: An Exploratory Study of Accounting Students in Post Secondary Institutions

Current news about corporate scandals and unethical behaviors of major accounting firms have implied a murky image that hangs over the accounting profession. As a result, there is growing interest in understanding how accounting majors view the ethical behavior of the scandals in large corporations. The purpose of this study therefore, is to evaluate the perception of ethical behavior among students in the 5-year accounting program and their view on the accounting profession in the 21 century and beyond. This study explores the stages of the theory of moral development by Lawrence Kohlberg and relates each stage that leads to students progressing in their moral reasoning. Approximately three hundred students enrolled in a five year accounting program in a selected four year accredited colleges and universities in New York State were surveyed. Findings suggest that accounting students surveyed in this paper are in line with Kohlberg’s moral reasoning. Implications of this finding are discussed.