Miracle-dz/UniFAR-FTUs huggingface dataset:
What is the Potential for Family Physicians to Coach Patients? Self-care of Depression: An Exploratory Study

BACKGROUND: The potential for family physicians (FPs) to be self-care coaches for patients with depression was explored within a feasibility study examining lay coach support for self-care of depressive symptoms in adults with chronic physical illness. METHODS: FPs were approached from a list of 400 randomly generated urban FPs to assist recruitment of adults with chronic illness and depressive symptoms. Patients received, independent of usual FP care, six months of lay coaching for self-care of depression. Nested within this intervention FPs completed questionnaires at study entry and termination exploring how they normally used self-care, the degree to which they promoted it, and their hypothetical interest in coaching self-care. Two-sided paired T-tests and McNemar's tests were performed respectively for continuous and binary outcomes to assess significance of change from study onset to completion. RESULTS: 110 / 400 FPs were contactable and eligible. 63 consented to participate, and 4 withdrew at onset. Of the 59 FP participants 86% (51/59) completed entry questionnaires and 63% (37/59) terminal ones. For physical illness versus depression significantly more FPs were familiar with self-care (p=0.002) and felt it more effective (p=0.013). Of 7 targeted illnesses for which self-care might be recommended depression was ranked 5th by them. Attitudes and practice did not change as a result of study participation. CONCLUSIONS: At present it is unlikely that FPs will act as depression self-care coaches, except perhaps on an individual basis. Changes in FP training, practice styles, practice support, and remuneration may be required to improve this. Language: en
How bettering the best? Answers via blending models and cluster formulations in density-based clustering

With the recent growth in data availability and complexity, and the associated outburst of elaborate modeling approaches, model selection tools have become a lifeline, providing objective criteria to deal with this increasingly challenging landscape. In fact, basing predictions and inference on a single model may be limiting if not harmful; ensemble approaches, which combine different models, have been proposed to overcome the selection step, and proven fruitful especially in the supervised learning framework. Conversely, these approaches have been scantily explored in the unsupervised setting. In this work we focus on the model-based clustering formulation, where a plethora of mixture models, with different number of components and parametrizations, is tipically estimated. We propose an ensemble clustering approach that circumvents the single best model paradigm, while improving stability and robustness of the partitions. A new density estimator, being a convex linear combination of the density estimates in the ensemble, is introduced and exploited for group assignment. As opposed to the standard case, where clusters are associated to the components of the selected mixture model, we define partitions by borrowing the modal, or nonparametric, formulation of the clustering problem, where groups are linked with high-density regions. Staying in the density-based realm we thus show how blending together parametric and nonparametric approaches may be beneficial from a clustering perspective.
ADDIS ABABA UNIVERSITY FACULITY OF BUSINESS AND ECONOMICS DEPARTMENT OF ACCOUNTING AND FINANCE. DETERMINANTS OF PRIVATE INVESTMENT IN ETHIOPIA BY-WASIHUN

--------------------------------------------------------------------------------------------------------ii Chapter One-Introduction 1.1 Back ground of the study--------------------------------------------------------------------------------1 1.2 Statement of the problem--------------------------------------------------------------------------------3 1.3 Main Research Questions-------------------------------------------------------------------------------5 1.4 Objective of the study------------------------------------------------------------------------------------6 1.4. 1.General Objective---------------------------------------------------------------------------------6 1.4. 2. Specific objective----------------------------------------------------------------------------------6 1.5 Hypothesis of the study---------------------------------------------------------------------------------6 1.6 Significance of the study---------------------------------------------------------------------------------7 1.7 Scope of the study----------------------------------------------------------------------------------------7 1.8 Limitation of the study-----------------------------------------------------------------------------------8 1.9 Organization of the paper--------------------------------------------------------------------------------8 Chapter Two-Literature Review 2.1 History and Overview of Private investment in Ethiopia ---------------------------------------9 2.1.1. Policy Implementation of the Government--------------------------------------------------10 2.1.2 History of Investment Law in Ethiopia-----------------------------------------------------11 2.2 Investment: Conceptual and Theoretical Background--------------------------------------------15 2.2.1. The simple accelerator theory------------------------------------------------------------------15 2.2.2. Flexible accelerator theory---------------------------------------------------------------------16 2.2.3. Neoclassical Investment Theory---------------------------------------------------------------16 2.2.4. The Tobin Q theory of investment------------------------------------------------------------17 2.2.5. Models of private investment in developing Countries-------------------------------------19 2.3 Empirical review on determinants of private investment-----------------------------------------20 2.3. 1. Determinants of Private Investment ----------------------------------------------------------25 2.4 Justification of the Research Project-----------------------------------------------------------------29 2.5 Conceptual framework---------------------------------------------------------------------------------30
Give me (un)certainty - An exploration of parameters that affect segmentation uncertainty

Segmentation tasks in medical imaging are inherently ambiguous: the boundary of a target structure is oftentimes unclear due to image quality and biological factors. As such, predicted segmentations from deep learning algorithms are inherently ambiguous. Additionally, "ground truth" segmentations performed by human annotators are in fact weak labels that further increase the uncertainty of outputs of supervised models developed on these manual labels. To date, most deep learning segmentation studies utilize predicted segmentations without uncertainty quantification. In contrast, we explore the use of Monte Carlo dropout U-Nets for the segmentation with additional quantification of segmentation uncertainty. We assess the utility of three measures of uncertainty (Coefficient of Variation, Mean Pairwise Dice, and Mean Voxelwise Uncertainty) for the segmentation of a less ambiguous target structure (liver) and a more ambiguous one (liver tumors). Furthermore, we assess how the utility of these measures changes with different patch sizes and cost functions. Our results suggest that models trained using larger patches and the weighted categorical cross-entropy as cost function allow the extraction of more meaningful uncertainty measures compared to smaller patches and soft dice loss. Among the three uncertainty measures Mean Pairwise Dice shows the strongest correlation with segmentation quality. Our study serves as a proof-of-concept of how uncertainty measures can be used to assess the quality of a predicted segmentation, potentially serving to flag low quality segmentations from a given model for further human review.
Sample Drop Detection for Distant-speech Recognition with Asynchronous Devices Distributed in Space

In many applications of multi-microphone multi-device processing, the synchronization among different input channels can be affected by the lack of a common clock and isolated drops of samples. In this work, we address the issue of sample drop detection in the context of a conversational speech scenario, recorded by a set of microphones distributed in space. The goal is to design a neural-based model that given a short window in the time domain, detects whether one or more devices have been subjected to a sample drop event. The candidate time windows are selected from a set of large time intervals, possibly including a sample drop, and by using a preprocessing step. The latter is based on the application of normalized cross-correlation between signals acquired by different devices. The architecture of the neural network relies on a CNN-LSTM encoder, followed by multi-head attention. The experiments are conducted using both artificial and real data. Our proposed approach obtained F1 score of 88% on an evaluation set extracted from the CHiME-5 corpus. A comparable performance was found in a larger set of experiments conducted on a set of multi-channel artificial scenes.
Comparison of In Vitro Release Rates of Diclofenac Topical Formulations Using an In-Line Cell Automated Diffusion System

The in vitro release test (IVRT) is a powerful tool for prediction of the impact of formulation excipients on the drug release profile as well as lot-to-lot uniformity. We have determined and compared the release profile of diclofenac (a non-steroidal anti-inflammatory agent) from marketed topical formulations using an in-line cell automated diffusion system. We describe the advantages of the automated diffusion system along with factors influencing the in vitro release, such as type of membranes and receptor solution. A validated reverse phase-high performance liquid chromatography (RP-HPLC) method at a wavelength of 276 nm in the range of 0.200 to 100.000 μg/mL was used for effective analysis of in vitro release samples, with good sensitivity and precision. A linear relationship was found, with a coefficient of determination (R2) ≥ 0.90 for diclofenac semisolid matrices. Among all similar strength formulations, the maximum release rate was obtained from Volini gel and Voltaren Forte, having 1% w/w and 2% w/w diclofenac, respectively.
A Design of Fuzzy Sliding Mode Controller for DC Motor Drive Base on FPGA

This paper focus on the realization of Fuzzy Sliding Mode Controller (FSMC) for DC motor drive based on Field Programmable Gate Arrays (FPGAs). Firstly, a mathematic model of the DC motor is defined. Then to increase the performance of the DC motor drive system, an FC constructed by a fuzzy basis function and its parameter adjustable mechanism using FSMC is applied to the speed control loop of the DC motor drive system. Secondly, FPGA by using finite state machine (FSM) method is presented to realize the aforementioned controllers, and VHSIC hardware description language (VHDL) is adopted to describe the circuit of the FSMC. Finally, an experimental system is established to verify the effectiveness of the proposed FPGA-based fuzzy sliding control system for DC motor, and some experimental results are confirmed theoretically. KeywordsFPGA;fuzzy controller;sliding mode controller; DC motor; Finite state machine ; VHDL; Nios II;
Anorectal manometric profile in patients presenting with chronic constipation associated with a mobile cecum

Introduction: Constipation is a serious health problem affecting to millions of persons at world level. The anorectal manometry makes an objective assessment of the rectoanal segment dynamics for constipation diagnosis, the anal incontinence, etc. From 1989, it was demonstrated that the mobile cecum provoke organic alterations of colon leading to chronic constipation. Objective: To determine by manometry, the existence of a common and reproducible pattern favoring the diagnosis of mobile cecum-associated chronic constipation. Methods: A descriptive research was conducted in 90 patients (40 children, 50 adults) between 2006 and 2009 in the Institute of Gastroenterology all of them diagnosed with chronic constipation refractory to conventional m treatment, as well as a barium-meal specific radiologic colon study as Gold Standard to diagnose presence of mobile cecum. A anorectal manometry was carried out using a PC Polygraf HR, by a catheter system of continuous perfusion and registries were assessed in a computer with analysis program. It was found that the rest pressure of internal anal sphincter was of X = 79,6 mm Hg for the group of children with a 65,8 % of relaxation for the inhibitory rectoanal reflex. In adult patients, the pressure of internal anal sphincter was of X= 80,9 mm Hg and a 68,2% of relaxation of internal anal sphincter. The pressure of contraction of external anal sphincter, the anal canal length and the rectal sensitivity were normal in both groups. There was a common and reproducible pattern with hypertonicity of internal anal sphincter and a relaxation deficit due to an incomplete inhibitory rectoanal reflex in the 94% of cases. Conclusion: There was a relation among these findings and the potential decrease in transportation of the inhibitory neurotransmitters produced as consequence of the mobile cecum leading to a chronic constipation.
An Effective Architecture of the Pipelined LMS Adaptive Filters

In this paper we propose a new pipelined architecture for the LMS adaptive filter which can be implemented with less than half the amount of calculation needed for the conventional architectures. Even though the proposed architecture reduces the required calculation, it can simultaneously produce good convergence characteristics, a short latency and high throughput characteristics. key words: adaptive filter, pipeline process, look-ahead transformantion
What Constitutes Art Therapy Research

Research may provide some answers regarding theoretical underpinnings of art therapy (theory building research); the efficacy of various art therapy assessments, approaches, and techniques utilized with consumers (practical research); and aspects of art therapy as a profession (institutional research). However, despite recent increases in art therapy research reported in the literature and greater emphasis on research at AATA conferences, most art therapists are reluctant to engage in research. This paper includes basic descriptions and examples of quantitative and qualitative approaches to art therapy research, and suggests ideas to bridge the gap between research and practice. Numerous research topics in four areas of art therapy are suggested: the therapeutic relationship, assessment, intervention, and art therapy as a profession.
Active Control of Machine-Tool Vibration in a Lathe

In the turning operation the relative dynamic motion between cutting tool and workpiece, or vibration is a frequent problem, which affects the result of the machining, in particular the surface finish. The tool life is also influenced by the vibrations. When the working environment is considered, noise is frequently introduced by dynamic motion between the cutting tool and the workpiece. By proper machine design, e.g. improved stiffness of the machine structure, the problem of relative dynamic motion between cutting tool and workpiece may be partially solved. However, by active control of machine-tool vibration, a further reduction of the dynamic motion between cutting tool and workpiece can be achieved. It was found that adaptive feedback control based on the filtered-x LMS-algorithm enables a reduction of the vibration with up to 40 dB at 1.5 kHz and simultaneously with approximately 40 dB at 3 kHz. A significant improvement of the workpiece surface was observed and a substantial improvement of the acoustic noise level was obtained with adaptive control.
An Abstract Study on Non-Identical Multi-Document Summarization Approaches

In the current situation the rate of development of data is growing exponentially in the World Wide Web. Thus, extricating legitimate and valuable data from enormous information has turned into a testing issue. As of late text summarization is perceived as one of the answer for remove applicable data from huge documents. Based on number of documents considered for summarization, the summarization assignment is ordered as single document or multi-document summarization. As opposed to single document, multi-document summarization is all the more trying for the analysts to discover exact synopsis from multiple documents. In this paper we have begun with presentation of multidocument summarization and after that have additionally examined examination and investigation of different methodologies which goes under the multidocument summarization. The paper additionally contains insights about the advantages and issues in the current techniques. This would particularly be useful for scientists working in this field of text information mining. By utilizing this information, scientists can fabricate new or blended based methodologies for multi-document summarization. Keywords— Multi document summarization, Text summarization, Knowledge Bases, Topic Models
SYSTEMIC DERMAL CARRIERS FOR PSORIASIS Review Article

Psoriasis is a non-infectious, dry, inflammatory (autoimmune) skin disorder. Treatment approaches include phototherapy, topical, oral and other systemic drug delivery. However, owing to the side effects and incomplete cure accompanying the oral administration as well as phototherapy, the topical route seemed to be more satisfactory for the medical team. Dermal treatment ensuring percutaneous penetration is now highly recommended in topical indications for psoriatic patients, which can be achieved using pharmaceutical carriers. Several carrier systems loaded with antipsoriatic drugs have demonstrated promising results, with some of them strictly being confined to the skin and others allowing for systemic involvement also. The evolution in this area will present a more useful and safer therapy by minimizing the drugs' degradation and loss, and increasing their bioavailability and effectiveness. Since patients require at least three topical applications for almost a 1-year period to gain health benefit, a reduction in the cost of the treatment will be of real value. A distinction of these carriers is made in the current review, to allow the choice of the most suitable pharmaceutical carrier for psoriatic patients requiring either local and/or systemic involvement.
Continuous Well-being and Ecovilages as Means of Achieving It

Human welfare depends upon our ability to satisfy the vital needs, i.e. provide everything necessary for supporting the human life. At the same time, human needs implied by the necessity of close interaction between man and natures (need for natural resources) are dictated by aesthetic and other contacts with nature. These needs may be called ecological. The problems of environmental protection are the most important among the first-priority problems of the society. At the present moment they are becoming more and more global. Industrial development results in increasing of ecological problems which, in their turn, result in deterioration of the human living environment. On the other hand the society has reached the stage of development which allows setting new economic and political tasks. The constantly growing part of population count on improvement of their welfare and is ready to pay for preservation of the environment, for improvement of the aesthetic standards of living. In the paper the authors determine some conception aspects of estimation of subjective well-being of a person and indicate their connection to the phenomenon of ecological well-being. © 2017 Published by Future Academy www.FutureAcademy. org.uk
Potency of Entomopathogenic Nematodes Steinernema spp . Against Major Insect Pest of Cotton

Steinernema spp. could be potentially used for controlling H. armigera and P. gossypiella on cotton. Steinernema spp. causes mortality on P. gossypiella and H. armigera 31,6–55,4 and 46,3–63,8% respectively. The nematode causes a higher mortality on P. gossypiella than on H. armigera, however, produces more juvenile infective on H. armigera than on P. gossypiella. Higher successful infections of Steinernema spp. occurs on late larval stadium than on early one. Production of Steinernema spp. can be in vivo using Tenebrio molitor, Tirathaba rufivena, and Attacus atlas; and in vitro using chicken intestinum, cow lipid, and soy bean oil. For effecttively use, this nematode need to be formulated especially for controlling insect pests on soil surface, as well as finding the more virulent isolates against the target insects.
Linking molecular characteristics to the pharmacological response of a panel of cancer cell lines to the BRAF inhibitor, AZ628

5249 The Ras/Raf/MEK/ERK pathway is activated in approximately 30% of all human tumors. Activating mutations of BRAF have been reported in multiple tumor types, including melanoma, papillary thyroid and colon cancer. In this study we determined the response of a panel of cancer cell lines with known RAS and BRAF status to AZ628, a BRAF inhibitor. AZ628 is a potent and selective RAF kinase inhibitor with IC50 values against V600E mutant BRAF and wild type BRAF of 34nM and 91nM, respectively. AZ628 potently inhibited PMA-stimulated AP1 reporter activity in 293T cells with an IC50 value 32μM. 34% (24/70) lines were responsive (GI50s
Modeling and Optimal Energy-saving Control of Automotive Air-conditioning/Refrigeration Systems

Air-conditioning/Refrigeration (A/C-R) systems are extensively adopted in homes, industry, and vehicles. An important step in achieving a better performance and higher energy efficiency for the A/C-R system is a control-based model and a proper control strategy. As a result, a dynamic model based on the moving boundary and lumped parameter method is developed in this paper. Unlike existing models, the proposed model lumps the fins’ effects into two equivalent parameters without adding any complexity and considers the effect brought by the superheat section of the condenser, resulting in a model that is not only simpler but also more accurate than the existing models. In addition, a model predictive controller (MPC) is designed based on the proposed model to enhance the energy efficiency of the A/C-R system. Simulation and experimental results are presented to demonstrate the accuracy of the model. The experiments show that about 8% energy saving can be achieved by using the proposed MPC compared to the conventional on/off controller under the examined scenario. The better performance of the proposed controller can appeal the electrification of the automotive A/C-R systems so as to eliminate idling caused by running A/C-R systems when a vehicle stops.