Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictors of Response to Physical Therapy Intervention for Plantar Heel Pain

Background: Age, weight, and duration of symptoms have been associated with a poor response to treatment for plantar heel pain (PHP), but no studies were identified that examined predictors of response to physical therapy intervention. The purpose of this investigation was to examine the influence of age, body mass index (BMI), and symptom duration on treatment response to physical therapy intervention. Methods: Sixty participants received 6 visits over 4 weeks of physical therapy intervention that included manual therapy and exercise or electrophysiological agents and exercise. Outcomes were assessed using the Foot and Ankle Ability Measure (FAAM), Numeric Pain Rating Scale (NPRS), and Global Rating of Change Scale (GRC). Logistic regression (P < .05) was used to analyze age, BMI, and symptom duration as potential predictors of a successful response based on the minimal clinically important difference of the outcome measures. Sensitivity analysis was used to assess the influence of success based on minimal clinically important changes in the FAAM, NPRS, and GRC or only the FAAM and NPRS. Receiver operating curves were used to determine the cut point for the significant predictor. Results: At the 6-month follow-up to physical therapy intervention, NPRS was improved by 3 points (95% CI, 2.4-3.6) and FAAM improved by 22.5 points (95% CI, 16.8-28.2). Individuals with symptoms less than 7.2 months were 4.2 (95% CI, 1.3-13.8; P = .016) and 8.5 (95% CI, 2.5-28.9; P = .001) times more likely to respond to treatment based on the NPRS/FAAM/GRC and NPRS/FAAM success criteria, respectively. Age and BMI were not significant predictors (P ≥ .455 and P ≥ .450, respectively). Conclusion: Age and BMI were not associated with outcomes and obese individuals did achieve a successful outcome with the physical therapy intervention used in the clinical trial. Individuals with PHP symptoms longer than 7 months require additional consideration and further investigation of effective strategies to improve treatment response. Level of Evidence: Prognosis, level 2b comparative study.
Design thinking as a strategy in employee engagement inIrish private security sector

The research thesis was undertaken to Investigate and examine the role of strategy and its influence on employee engagement in Irish private security sector. The author was eager to Interview Security officers at various levels with wide rage of services in the private security sector to understand if there are any correlations between their drivers of engagement and those discussed in the academic literature. In this pursuit, the researcher Interviewed and engaged with security officers from different organizations and across the hierarchy to gain accurate and rich data about employee engagement. The researcher used sample size of six and found that all the six employees were engaged in the organization. Furthermore, this research study explores how employees are benefited from the implementation Human capital strategies how internal and external factors impact on their engagement. This was important because often the employees in private security sector are deployed in different work location and how work location would impact their engagement levels is discussed in the findings chapter of the dissertation. The study also reveals that an effective and successful implementation of Human Capital strategies is positively correlated to the level of engagement in the sector, and lack of training and trust emerge as the main factors that have a negative impact on the workforce this has been discussed in the dissertation. This dissertation recommends that organization should develop new systems and strategies which creates employees a platform to share their feedback and improve their engagement level.
The impact of private capital flows on economic growth in South Africa

5 CHAPTER ONE 10 1.1 BACKGROUND INFORMATION 10 1.2 PROBLEM STATEMENT 10 1.3 OBJECTIVES OF THE STUDY 12 General objectives 13 Specific objectives 13 1.4 RESEARCH HYPOTHESIS 13 1.5 JUSTIFICATION OF THE STUDY 13 1.6 OUTLINE OF THE STUDY 14 CHAPTER TWO 15 2.1 BACKGROUND OF PRIVATE CAPITAL INFLOWS 15 2.2 INTRODUCTION 15 2.3 ARE PRIVATE CAPITAL INFLOWS VEHICLES FOR ECONOMIC GROWTH? 16 2.4 MAJOR CRITICS OF PRIVATE CAPITAL INFLOWS 17 2.5 PRIVATE CAPITAL INFLOWS TO SUB-SAHARAN AFRICA 18 2.6 THE GLOBAL FINANCIAL CRISIS AND PRIVATE CAPITAL INFLOWS TO SSA.20 2.7 NATURE OF PRIVATE CAPITAL INFLOWS IN SOUTH AFRICA 23 2.8 INVESTMENT AND SAVING IN SOUTH AFRICA 25 7 | P a g e 2.9 TRENDS OF PRIVATE CAPITAL INFLOWS IN SOUTH AFRICA 27 2.9. 1 FOREIGN DIRECT INVESTMENT (FDI) 27 2.9. 2 PORTFOLIO INVESTMENT 30 2.9. 3 CROSS-BORDER BANK LENDING 34 2.10 CONCLUSION 38 CHAPTER THREE 39 LITERATURE REVIEW 39 3.
Separate effects of ischemia, hypoxia, and contractility on thallium-201 kinetics in rabbit myocardium.

The effects of hypoxia and ischemia, as well as altered contractility, on thallium-201 (201TI) kinetics were evaluated in 42 isolated isovolumetrically contracting rabbit hearts. In Group A, three subgroups (n = 7 each) were studied that had either normal flow and oxygenation, hypoxia and normal flow, or ischemic flow and normal perfusate oxygen content. In Group B, three subgroups (n = 7 each) were studied and all hearts had normal flow but the contractile state was either enhanced with isoproterenol or impaired by hypocalcemia. A hemoglobin-free buffer perfusate was used in all experiments and multiple timed collections of arterial and coronary sinus effluent were used to model myocardial isotope activity during 30 min of constant uptake followed by 30 min of tracer clearance. During ischemia, hypoxia and hypocalcemia peak developed pressure and peak positive and negative dP/dt were all significantly reduced when compared to normal hemodynamic parameters (p less than 0.01). As expected, isoproterenol significantly elevated these parameters (p less than 0.04). Myocardial 201TI kinetics were adequately described utilizing a bi-exponential model having a fast and slow component. Only ischemic hearts had significantly lower rate constants for 201TI uptake and clearance than normal hearts (p less than 0.001). The mean (+/- s.d.) myocardial uptake and clearance rates for 201TI (%/min) varied between 4.86 +/- 0.87 and 7.18 +/- 1.45 for the remaining groups of hearts. Therefore, myocardial 201TI kinetics appear to be dominated by coronary flow and may not reflect marked alterations in the metabolic and contractile state. These data suggest that normal 201TI uptake in impaired or hypercontractile cells, receiving normal flow, may not represent normal cellular function.
Islamic Education Curriculum Management of SMK at Pesantren

Education has been the main strategy to fulfill diverse demands for reaching the quality of the future generation, comprising on the demands of culture, social and children growth. Muhadjir (2000) argues that educational institutions is expected to establish three educational foci (1) maintaining values of insani (human relation) and ilahi (God relation) (2) stimulating and growing the children creativity and (3) preparing productive educators that are competent to anticipate future challenges so as to contribute to the future workplace structure, not adjusting the estimation of economical needs. Educational function is philosophically educating learners through mental and rational process to achieve noble morals, while seeing at sociological perspective, it has two main functions, namely manifest and latent. In economic side, education function is providing contribution to the economic growth through the hike of employer productivity as the economic growth is not determined by capital investation only. The employers who posses high flexibility to empower new skills to counter new marketplace, in accordance with the changing of economic structure and marketplace. Pesantren, one of educational institutions-based society has established refurbishment for its educational components. Educational system of pesantren that is basically traditional, in its development, is more dynamic, adaptive, emansipative and responsive on the evolvement and society’s demand as well as government policies. Thus, pesantren will not let itself on its endless conventionality, but it will thrive on the adjusment and new value adoption, or innovation that has direct or indirect impacts to its educational system. If the innovations on pesantren milieu are meticulously analyzed, the curriculum materials taught and learning methodology as the innovative aspects in pesantren can be glaringly accentuated. Dhofir (1985) states that most of small pesantren was in vacum during 1950, but the other surviving pesantren are caused by the establishment of general education inside the pesantren curriculum. Therefore, more pesantren established non religion based curriculum as stipulated in Junior High School (SMP, Senior High School (SMA) and Vocational School (SMK). The establishment of vocational education is categorized as vocational school oriented to the skill education and workplace preparation for its graduates, while the orientation of Pesantren education is centered on the educational principles and values that are influential to its curriculum, such as theosentric not antroposentric, that is emphasized on searching knowledge as a worship, tawassut (moderate). Therefore, this paper is going to deeply discuss how the implementation of management functions on the curriculum practice and Islamic education learning on SMK in pesantren boundary.
Entrepreneurial actions towards the success of exponential technologies

Entrepreneurial actions can have superior performance when originated inside structured innovation ecosystems. New organization models of collaboration between different types of innovation ecosystem can increase the likelihood of successful business and impact creation. It requires the development of new ways of collaboration, both from the academic and company’s point of view. This research analyses the way of supporting entrepreneurship of two innovation ecosystems that are enabled by the use of exponential technologies, such as the Information and Communication Technology (ICT). The main findings observed during the long-term collaboration of the two innovation ecosystems extend the field of entrepreneurship and innovation. Further research could measure the drivers of success of the ecosystems in the generation of new ventures coming from academia, as well as the high impact of this ventures at the target markets. Finally, this research presents practical implications for entrepreneurs of knowledge-based start-ups, as well as the leaders of innovation ecosystems.
Activation of microglial N‐methyl‐D‐aspartate receptors triggers inflammation and neuronal cell death in the developing and mature brain

Activated microglia play a central role in the inflammatory and excitotoxic component of various acute and chronic neurological disorders. However, the mechanisms leading to their activation in the latter context are poorly understood, particularly the involvement of N‐methyl‐D‐aspartate receptors (NMDARs), which are critical for excitotoxicity in neurons. We hypothesized that microglia express functional NMDARs and that their activation would trigger neuronal cell death in the brain by modulating inflammation.
Experimental evidence rejects pairwise modelling approach to coexistence in plant communities

Competition is often invoked as the cause of plant species loss with increasing system productivity. Experimental results for multispecies assemblages are virtually absent and mathematical models are thus used to explore the relationship between competition and coexistence. Modelling approaches to coexistence and diversity in competitive communities commonly employ Lotka–Volterra-type (LV) models with additive pairwise competitive effects. Using pairwise plant competition experiments, we calibrate the LV system and use it to predict plant biomass and coexistence in six three-species and one seven-species experimental mixture. Our results show that five out of the six three-species sets and the seven-species set deviate significantly from LV model predictions. Fitting an additional non-additive competition coefficient resulted in predictions that more closely matched the experimental results, with stable coexistence suggested in all but one case. These results are discussed with particular reference to the possible underlying mechanisms of coexistence in our experimental community. Modelling the effect of competition intensity on stability indicates that if non-additive effects occur, they will be relevant over a wide range of community sizes. Our findings caution against relying on coexistence predictions based on LV models.
Modeling the current distribution across the depth electrode–brain interface in deep brain stimulation

The mismatch between the extensive clinical use of deep brain stimulation (DBS), which is being used to treat an increasing number of neurological disorders, and the lack of understanding of the underlying mechanisms is confounded by the difficulty of measuring the spread of electric current in the brain in vivo. In this article we present a brief review of the recent computational models that simulate the electric current and field distribution in 3D space and, consequently, make estimations of the brain volume being modulated by therapeutic DBS. Such structural modeling work can be categorized into three main approaches: target-specific modeling, models of instrumentation and modeling the electrode–brain interface. Comments are made for each of these approaches with emphasis on our electrode–brain interface modeling, since the stimulating current must travel across the electrode–brain interface in order to reach the surrounding brain tissue and modulate the pathological neural activity. For future modeling work, a combined approach needs to be taken to reveal the underlying mechanisms, and both structural and dynamic models need to be clinically validated to make reliable predictions about the therapeutic effect of DBS in order to assist clinical practice.
Fine‐Mapping Additive and Dominant SNP Effects Using Group‐LASSO and Fractional Resample Model Averaging

Genomewide association studies (GWAS) sometimes identify loci at which both the number and identities of the underlying causal variants are ambiguous. In such cases, statistical methods that model effects of multiple single‐nucleotide polymorphisms (SNPs) simultaneously can help disentangle the observed patterns of association and provide information about how those SNPs could be prioritized for follow‐up studies. Current multi‐SNP methods, however, tend to assume that SNP effects are well captured by additive genetics; yet when genetic dominance is present, this assumption translates to reduced power and faulty prioritizations. We describe a statistical procedure for prioritizing SNPs at GWAS loci that efficiently models both additive and dominance effects. Our method, LLARRMA‐dawg, combines a group LASSO procedure for sparse modeling of multiple SNP effects with a resampling procedure based on fractional observation weights. It estimates for each SNP the robustness of association with the phenotype both to sampling variation and to competing explanations from other SNPs. In producing an SNP prioritization that best identifies underlying true signals, we show the following: our method easily outperforms a single‐marker analysis; when additive‐only signals are present, our joint model for additive and dominance is equivalent to or only slightly less powerful than modeling additive‐only effects; and when dominance signals are present, even in combination with substantial additive effects, our joint model is unequivocally more powerful than a model assuming additivity. We also describe how performance can be improved through calibrated randomized penalization, and discuss how dominance in ungenotyped SNPs can be incorporated through either heterozygote dosage or multiple imputation.
Global Analysis of the Staphylococcus aureus Response to Mupirocin

ABSTRACT In the present study, we analyzed the response of S. aureus to mupirocin, the drug of choice for nasal decolonization. Mupirocin selectively inhibits the bacterial isoleucyl-tRNA synthetase (IleRS), leading to the accumulation of uncharged isoleucyl-tRNA and eventually the synthesis of (p)ppGpp. The alarmone (p)ppGpp induces the stringent response, an important global transcriptional and translational control mechanism that allows bacteria to adapt to nutritional deprivation. To identify proteins with an altered synthesis pattern in response to mupirocin treatment, we used the highly sensitive 2-dimensional gel electrophoresis technique in combination with mass spectrometry. The results were complemented by DNA microarray, Northern blot, and metabolome analyses. Whereas expression of genes involved in nucleotide biosynthesis, DNA metabolism, energy metabolism, and translation was significantly downregulated, expression of isoleucyl-tRNA synthetase, the branched-chain amino acid pathway, and genes with functions in oxidative-stress resistance (ahpC and katA) and putative roles in stress protection (the yvyD homologue SACOL0815 and SACOL1759 and SACOL2131) and transport processes was increased. A comparison of the regulated genes to known regulons suggests the involvement of the global regulators CodY and SigB in shaping the response of S. aureus to mupirocin. Of particular interest was the induced transcription of genes encoding virulence-associated regulators (i.e., arlRS, saeRS, sarA, sarR, sarS, and sigB), as well as genes directly involved in the virulence of S. aureus (i.e., fnbA, epiE, epiG, and seb).
Tourism Review Sentiment Classification Using a Bidirectional Recurrent Neural Network with an Attention Mechanism and Topic-Enriched Word Vectors

Sentiment analysis of online tourist reviews is playing an increasingly important role in tourism. Accurately capturing the attitudes of tourists regarding different aspects of the scenic sites or the overall polarity of their online reviews is key to tourism analysis and application. However, the performances of current document sentiment analysis methods are not satisfactory as they either neglect the topics of the document or do not consider that not all words contribute equally to the meaning of the text. In this work, we propose a bidirectional gated recurrent unit neural network model (BiGRULA) for sentiment analysis by combining a topic model (lda2vec) and an attention mechanism. Lda2vec is used to discover all the main topics of review corpus, which are then used to enrich the word vector representation of words with context. The attention mechanism is used to learn to attribute different weights of the words to the overall meaning of the text. Experiments over 20 NewsGroup and IMDB datasets demonstrate the effectiveness of our model. Furthermore, we applied our model to hotel review data analysis, which allows us to get more coherent topics from these reviews and achieve good performance in sentiment classification.
Three Essays in Development Economics: First Nation Economic Development

This dissertation contains three essays in the economics of development. The first essay investigates the effects of the decentralization of governance over education to communities in terms of individual education outcomes. The next essay relates to the first by exploring the factors that drive communities to adopt decentralized governance, including forms of decentralized governance over education. The last essay returns to the topic of education by examining a policy aimed at decreasing the costs of post-secondary education for a minority group. Each essay probes these topics within the context of First Nations in Canada. The first essay examines the substantial impacts of education decentralization on high school attendance and completion through the analysis of First Nation education self-government agreements in Canada. These agreements are important institutional arrangements that transfer the authority over education from the federal government to First Nations. I exploit confidential microdata and exogenous variation in the implementation of education self-government agreements to perform the analysis. My results indicate that self-government agreements focused exclusively on education increase high school attendance by 5 to 9 percentage points and high school completion by 3 to 5 percentage points. However, the effects on high school completion rates under multi-sectoral self-government agreements implemented together with comprehensive land claim agreements and for self-government agreements that focus on education alone differ dramatically for women and men. High school completion improves by 8 to 11 percentage points for women, but drops by a staggering 17 to 25 percentage points for men. These results have important policy implications for education
A metamodel for mobile forensics investigation domain

With the rapid development of technology, mobile phones have become an essential tool in terms of crime fighting and criminal investigation. However, many mobile forensics investigators face difficulties with the investigation process in their domain. These difficulties are due to the heavy reliance of the forensics field on knowledge which, although a valuable resource, is scattered and widely dispersed. The wide dispersion of mobile forensics knowledge not only makes investigation difficult for new investigators, resulting in substantial waste of time, but also leads to ambiguity in the concepts and terminologies of the mobile forensics domain. This paper developed an approach for mobile forensics domain based on metamodeling. The developed approach contributes to identify common concepts of mobile forensics through a development of the Mobile Forensics Metamodel (MFM). In addion, it contributes to simplifying the investigation process and enables investigation teams to capture and reuse specialized forensic knowledge, thereby supporting the training and knowledge management activities. Furthermore, it reduces the difficulty and ambiguity in the mobile forensics domain. A validation process was performed to ensure the completeness and correctness of the MFM. The validation was conducted using two techniques for improvements and adjustments to the metamodel. The last version of the adjusted metamodel was named MFM 1.2.