Miracle-dz/UniFAR-FTUs huggingface dataset:
Occupational Therapy for Reducing Disabilities in Persons with Disabilities in India: A Systematic Review

Background: The current evidence for occupational therapy practice, teaching, and research is replicated and implemented significantly from high-income countries in India. Therefore, a systematic review and an evaluation of existing evidence for occupational therapy (OT) to reduce disabilities including impairments, activity limitations, and participation restriction in persons with disabilities (PWD) in India are warranted. Objectives: The objective of this review was to evaluate the effectiveness of OT interventions for reducing disabilities in PWD in India. Study Design: Systematic review. Methods: We searched the Cochrane CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, AMED, and Web of Science. A hand search was also carried out in selected Indian journals, OT-specific databases, and repositories, such as Indian Journal of Occupational Therapy, Indian Journal of Physiotherapy and Occupational Therapy, OT Seekers, World Federation of Occupational Therapy Bulletin, Asia Pacific Occupational Therapists Regional Group, and clinical trials registers. The search was restricted to published studies conducted in India during 2000–2021. We included randomized controlled trials (RCTs) of an occupational therapy intervention delivered by OTs for PWD, where the effects of the intervention were evaluated using any relevant disability outcome measure. Studies without access to full text were excluded. Two review authors independently completed screening, and one author reviewed the full text of the screened studies. Another pair of authors extracted data from included studies for prespecified disability outcomes, and two authors assessed the risk of bias in the included studies. Results: We identified seven RCTs of occupational therapy interventions for PWD in India with 305 participants in total. All seven studies were very different in terms of their objective, participants, comparison, and outcomes. Allocation concealment and blinding and risk of bias were high in five trials. All the trials reported impairment outcomes with a statistically significant difference between the experimental arm and the control arm in terms of their primary outcomes except one. Given the sample size and the risk of bias in each of the included trials, the effect size has to be understood and interpreted with utmost caution. Conclusion: Overall, this review establishes the paucity of evidence for occupational therapy for PWD in India. Building the capacity for rigorous and relevant scientific research in occupational therapy would enable bridging the gaps in evidence for occupational therapy in India.
Large deviation results for U- and V-statistics and U- and V-empiricals

This paper develops large deviation results for empirical df’s of U-statistic structure (i.e., U-empirical df’s), for associated “von Mises” analogues (i.e., V-empirical df’s), and for statistics defined as functionals evaluated at these entities. The results extend the work of Groeneboom, Oosterhoff, and Ruymgaart (1979) on classical empirical df’s and functionals. Along the way we also extend to a topology stronger than the τ topology the basic Sanov theorem for the classical empirical df and we obtain some improvements of LD results of Eichelsbacher and Löwe (1995) for Uand V-statistics. Applications treated include “generalized L-statistics,” with special attention to trimmed U-statistics, certain nonparametric spread measures, and goodness-of-fit statistics of weighted Kolmogorov-Smirnov type. AMS 1991 subject classifications. 60F10, 62E20.
New Camera-based Natural Interaction Algorithms Applied to Exercise Monitoring

—World population is ageing and with age, individual health tends to decline. When compounded with reduced amounts of physical exercise, health issues brought on by ageing are aggravated. As such, it is necessary to promote physical activity and discourage a sedentary behaviour. For these issues the Augmented Human Assistance (AHA) project presents several solutions. In this work we will focus on two of the proposed solutions: ”exergames” and Automated Therapist Assistance for Senior ﬁtness tests. These solutions use Human Pose Estimation (HPE) and can be easily used given that they rely, only, on widely available digital cameras. The objective of this work is to explore the usage of HPE algorithms in long ranges as a means to increase the effective area of said algorithms, allowing for large motions or tracking of several targets. As such, we evaluate the performance with distance of three common 2 D HPE tools: OpenPose , AlphaPose and openpifaf . Besides this evaluation we also improve the range of VNECT, a 2 . 5 D HPE algorithm. Finally as a last step we explore the potential of discrete pose classiﬁers, as an alternative to continuous pose. For this work two datasets were created: the distance dataset and the discrete pose dataset.
Thesis Title: Bear Market Prediction Using Logistic Regression, Random Forest, and XGBoost

The stock market is considered one of the most complex systems in the world, consisting of many segments whose prices move up and down, without generating a clear pattern. Several factors influence its movements, so predicting the stock market with traditional time series analysis can not be considered an easy task. Hence, in this work an application of machine learning algorithms in the financial area is developed to predict several market downfalls, with 6 and 12 months of advance, in the Standard & Poor’s 500 index: (i) -20% (Bear Markets), (ii) -17.5% and (iii) -15%. For that, four different computational models based in different Machine Learning algorithms were produced and trained Logistic Regression, Random Forest, XGBoost, and an Ensemble of the algorithms used. Doing out-of-sample tests from 1970 to 2019, it was possible to detect most of the significant downfalls in S&P 500, in particular when detecting the events with 12 months of anticipation. The Logistic Regression model outperformed the other models having higher results and detecting the market downfalls with more antecedence. The Ensemble approach (joining all algorithms), was considered the most balanced method since it combining the best results of the different algorithms. Through the implementation of a Genetic Algorithm, it was also possible to optimize the results of the XGBoost model for different test cases.
Towards high resolution resting-state fMRI in the mouse brain

Resting-state functional magnetic resonance imaging (rsfMRI) allows the study of functional connectivity in the brain. Through the mapping of functional networks, it is possible to extract information about the intrinsic organization and function of the brain, as well as to study pathologies and arousal states. Considering that controlled preclinical experiments allow combining rsfMRI with other techniques, and that transgenic mouse models are particularly good models for neurological diseases, murine imaging is becoming an attractive option. Still, there are inherent technical difficulties in imaging mice, and detection of robust and consistent networks has been challenging. Moreover, mouse rsfMRI is usually performed at relatively low spatial resolution, limiting the investigation of small structures. In this study, to overcome these shortcomings, rsfMRI datasets were acquired with both standard (0.3 mm x 0.3 mm) and high resolution (0.16 mm x 0.16 mm), different preprocessing pipelines were tested, and a seed-based analysis was conducted with seeds on cortical and subcortical areas. No significant differences were found between pipelines, but it was possible to reproduce functional networks mostly consistent with previous literature, particularly on motor (M1), somatosensory (S1 and S2) and visual (VC) cortices, hippocampus (Hip) and caudate putamen (CPu), for both lowand high-resolution datasets. Considering the high variability of possible data acquisition parameters, anesthetic regimes, preprocessing and analysis pipelines, these consistent network mappings are encouraging results for rsfMRI in mice as translational tools for the study of large-scale neural dynamics, as well as fundamental mechanisms of small structures in the brain.
The Relevance of Liquidity and Country Risk to Euro-Denominated Bonds and the Influence of ECB Monetary Policy

This paper investigates the main determinants of euro denominated corporate bond yields, then analyses the “country effect” by focusing on economic reasons for the strong link between country and corporate yields. It also examines the potential impact of monetary policy of the European Central Bank (ECB) on corporate bond yields on the days of Governing Council meetings. A sample of 1,762 corporate euro-country bonds is analyzed for the period May 2005 – January 2012 using OLS panel data. The economic reason for the strong link between countries and corporate yields is investigated up to 2017. We find that idiosyncratic liquidity and risk have a crucial impact on bond yields, but yields are also strongly influenced by the risk of the corresponding sovereign bonds. Finally, we show that unexpectedness component of ECB policy also exerts a strong short-term effect.
Measurement Implementation in Youth Psychotherapy: An Examination of Barriers and Facilitators of Y-OQ and TSM Implementation

Measurement Implementation in Youth Psychotherapy: An Examination of Barriers and Facilitators of Y-OQ and TSM Implementation Tess Janeen Collett Department of Psychology, BYU Doctor of Philosophy Studies have shown a concerning and disproportionate amount of treatment failure and premature termination in youth populations. Routine measurement feedback has been proposed as a means to prevent treatment failure and premature termination for adults and may also improve youth mental health services. However, studies examining helpfulness of measurement feedback systems in youth populations have demonstrated a lack of effects more likely due to poor measurement implementation than to the measurement feedback system itself. Because contexts within the service settings are such crucial factors in whether an innovation is successfully implemented, examining barriers and facilitators in said contexts is a necessary step towards improving implementation for the ultimate purpose of improving youth mental health services. The present study explored barriers and facilitators to the implementation of the Youth Outcome Questionnaire (Y-OQ) and Treatment Support Measure (TSM) in youth routine clinical care. Thirteen staff of varying job titles, experiences, education and opinions towards measures were interviewed using consensual qualitative research (CQR) methods. Results were similar to previous studies, indicating multilevel barriers and facilitators to measurement implementation such as at the organization, staff, client and measure level. Using CQR data analysis, domains, categories and subcategories along with level of frequency are displayed and discussed in further detail. In addition to barriers and facilitators, interviewees provided recommendations for how to improve implementation of measures within their organization. Researchers provide recommendations of continued communication, re-assessment of barriers and facilitators over time and shared responsibility between stakeholders and professionals invested in improving youth mental health services.
1.39 Electronic Retinal Prostheses

1.39. 1 Abstract 643 1.39. 2 Introduction 643 1.39. 2.1 Retina Encodes Visual Information 643 1.39. 2.2 Retinal Degeneration and Its Effects on the Visual System 644 1.39. 2.2.1 Age-Related Macular Degeneration 644 1.39. 2.2.2 Retinitis Pigmentosa 644 1.39. 2.2.3 Blindness and Visual Acuity 645 1.39. 2.2. 4 Blindness and Visual Field 645 1.39. 2.2. 5 Animal Models of Retinal Degeneration 645 1.39. 2.2. 6 Effects of Retinal Degeneration on the Neural Network 646 1.39. 2.3 Electrical Stimulation of Neurons 646 1.39. 2.3.1 Intracellular Stimulation 646 1.39. 2.3.2 Extracellular Stimulation 647 1.39. 2.3.3 Upper Stimulation Threshold 648 1.39. 2.3. 4 Role of Electrode Placement and Pulse Polarity 649 1.39. 2.3. 5 Axonal Simulation 649 1.39. 3 Approaches to Retinal Prosthetics 649 1.39. 3.1 Anatomical Placement of the Stimulating Electrodes 649 1.39. 3.1. 1 Three-Dimensional Interfaces 650 1.39. 3.2 Delivery of Information and Power to the Implant 651 1.39. 3.2.1 Serial Telemetry of the Data 651 1.39. 3.2.2 Powered Implants With Integrated Camera 652 1.39. 3.2.3 Photovoltaic Systems 652 1.39. 3.3 Safety Considerations 653 1.39. 3.3.1 Thermal Limits 653 1.39. 3.3.2 Electroporation 655 1.39. 3.3.3 Electrochemical Limits 656 1.39. 3.3. 4 Implant Encapsulation 656 1.39. 4 Pre-clinical Evaluation of Prosthetic Vision 656 1.39. 4.1 Retinal Response to Electrical Stimulation Ex Vivo 656 1.39. 4.1. 1 Epiretinal Stimulation 657 1.39. 4.1. 2 Subretinal Stimulation 658 1.39. 4.2 Prosthetic Vision In Vivo 660 1.39. 4.2.1 Spatial Resolution 660 1.39. 4.2.2 Contrast Sensitivity 662 1.39. 5 Clinical Results 662 1.39. 5.1 Standards for Evaluating Prosthetic Vision 662 1.39. 5.2 The Argus II Epiretinal Implant 662 1.39. 5.3 The Alpha IMS/AMS Subretinal Implant 663 1.39. 5.4 PRIMA: Photovoltaic Subretinal Implant 663 1.39. 5.5 Other Clinical Systems 663 1.39. 6 Outlook 664 1.39. 6.1 Improving Proximity to the Target Neurons in Subretinal Space 664 1.39. 6.2 Epiretinal Implant With Bi-directional Telemetry 664 1.39. 6.3 Image Processing 664 1.39. 6.4 Brain Plasticity and the Retinal Code: How Much Fidelity Do We Need? 664 1.39. 7 Summary and Conclusions 665 References 665
A Vignette Study on Employer Bias and Wage Gaps

Extensive labour market research has established that homosexual men have lower average wages than their comparable heterosexual counterparts, while for homosexual women a wage premium compared to similar heterosexual females has been shown. Standardised surveys are useful for determining which extent of these inequalities might stem from employer bias. As part of his master’s thesis “Stereotypical Prejudices and Labor Market Behavior A Case Study for the LGBT Community” (2018), Jens T. Möller has conducted a survey in the form of a vignette study and has identified a significant causal relationship between said employer bias and wage gaps. Since standardised surveys are prone to response errors such as questionnaire context effects, their results might be distorted. By the example of Möller’s study, the present thesis examines the relationship between context effects and surveys investigating underlying prejudices against people of different gender and sexual orientation and examines whether context effects need to be adjusted for in the course of such studies. This is done by rerunning the vignette study, having removed potential context effect sources from its questionnaire, analysing the data analogously and comparing the results. The updated questionnaire produces opposing results which suggest that Möller’s survey design has facilitated distorting effects on his data. It is shown that context effects play such a significant role that adjusting for them is a necessary measure when conducting a survey in similar studies.
Meaning in life buffers the association between perceived burdensomeness, thwarted belongingness, and frequency of non-suicidal self-injuries in Spanish adolescents.

Background: Adolescence is a developmental stage when there is a high risk of engaging in non-suicidal self-injury (NSSI). There is recent interest in the study of thwarted belongingness and perceived burdensome as variables associated with the frequency of NSSI in adolescents. Meaning in life (MIL) could be negatively associated with thwarted belongingness and perceived burdensome. To date, no studies have analyzed whether thwarted belongingness and perceived burdensomeness could be associated with the frequency of NSSI in adolescents. On the other hand, no studies have analyzed the buffering role of MIL in the association between thwarted belongingness and perceived burdensomeness and the frequency of NSSI. Aims: a) to test whether thwarted belongingness and perceived burdensomeness are associated with NSSI frequency; b) to test whether MIL moderates the association between thwarted belongingness and NSSI frequency; and c) to test whether MIL moderates the association between perceived burdensomeness and NSSI frequency. Method: The sample consisted of N = 1531 participants between 12 and 18 years old from Spain. The participants filled out the Inventory of Statements about Self-Injury, Purpose-In-Life Test-Adolescents Version, and Interpersonal Needs Questionnaire. Moderation analysis were performed. Results: Thwarted belongingness and perceived burdensomeness were positively associated with the frequency of NSSI in Spanish adolescents. MIL was a moderating variable between thwarted belongingness and the frequency of NSSI, and between perceived burdensomeness and the frequency of NSSI. Conclusion: Thwarted belongingness and perceived burdensomeness could be a risk factor for NSSI and MIL could be a protective factor against NSSI, and adding these variables to current descriptive theories of NSSI in adolescents would allow us to improve the assessment and treatment protocols for adolescents with NSSI.
Production and marginal analysis of lactating cows subjected to dietary cation-anion balances

The objective of this study was to evaluate productive, nutritional, and economic traits in lactating cows on pasture fed diets with different cation-anion balances (DCAB). Ten lactating 3⁄4 Holstein × 1⁄4 Dairy Gyr cows in the middle third of lactation, at an average age of 70 ± 4.6 months and an average body weight of 400 ± 55.2 kg, were distributed into five treatments in a 5 × 5 Latin square experimental design with two simultaneous squares. Treatments consisted of diets with DCAB of +237, +258, +294, +347, or +419 mEq dry matter (DM). No effects of intake were observed. There was no significant effect of DCAB on milk yield. The milk protein content was not influenced by the DCAB. Body condition score was not significantly affected by the DCAB. The apparent digestibilities of dry matter and nutrients (crude protein, neutral detergent fiber, ether extract, non-fibrous carbohydrates, and total digestible nutrients) were not affected by the DCAB. Marginal rate of return did not show significant differences. Under good conditions of pasture, forage availability, and quality associated with the lactation phases of the cows, all diets were efficient in milk production, dry matter intake, and digestibility. However, in economic terms, the most attractive DCAB was +237 mEq kg DM.
Batch Conversion of Methane to Methanol Using Copper Loaded Mordenite: Influence of the Main Variables of the Process

Due to the demands of oxygenated derivatives of hydrocarbons for the industry, the methane (CH4) to methanol (MeOH) conversion through solid-state catalysis is a current topic, with definite questions and specific challenges. This work shows a statistical model that predicts the quantity of methanol produced through a batch conversion process employing copper-exchanged mordenite in accordance with a full factorial experimental design. Synthesis was performed through solid-state ion exchange from Cu(acac)2 and NH4-Mordenite, obtaining weight percentages (%Cu) of 1%, 3%, and 5%, which was followed by activation through calcination at a range of temperatures (Tcal) between 300-500 ◦C, as well as a reaction with methane under 2-10 bar pressure (P) in static conditions employing a batch reactor. The quantities of MeOH produced, and their yields were determined through a gas chromatography and mass spectrometry analysis of the reaction samples. Finally, the role and contribution of each of the variables considered in the conversion process were analyzed. By using a nonlinear model, a quadratic dependence with %Cu and P in the studied range of the variables was found, as well as a linear dependence with Tcal. Finally, for this experiment, the highest yields (μmol/g) were obtained with the following conditions: %Cu = 3 %, P = 6 bar, and Tcal = 400 ◦C.
Implementation of the Chameleon Clustering Algorithm

The goal of this thesis is to analyze and implement the Chameleon algorithm. Chameleon is a hierarchical clustering algorithm proposed by Vipin Kumar, George Karypis and Eui-Hong (Sam) Han. It overcomes limitations of existing clustering methods by using dynamic modeling to determine the similarity between pairs of clusters. We successfully implemented the algorithm and integrated it into the Clueminer clustering platform. The analysis and results achieved by our implementation proved that the algorithm is in fact superior to most clustering algorithms and is able to identify clusters of different sizes, shapes and densities.
Communications in Nonlinear Science and Numerical Simulation Pollution-induced Poverty Traps via Hopf Bifurcations in a Minimal Integrated Economic-Environment Model

In this paper we present a minimal integrated environment-economic growth model. The accumulations of capital and pollution are connected by reciprocal feedbacks. Pollution is an undesirable but inevitable by-product of production, whose efficiency is hindered by pollution. The nexus between pollution and production is embodied in a damage function. The evolution of capital is enriched by the specific technology adopted here, an S-shaped production function. The model dynamics is represented by a couple of nonlinear differential equations, whose long run behavior gives rise to multiple stationary points. A global analysis underlines the importance of a meditated choice of the relevant policy parameters. Pollution induced poverty traps emerge for low level of saving ratio and share of abated emission. Periodic behaviour of the economic and environmental variables represents an early signal of the imminent risk of being trapped in an unsatisfactory level of economic performance. Numerical examples corroborate the theoretical results of the paper.