Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing the effect of psychotherapy through systematic client feedback in outpatient mental healthcare: A cluster randomized trial.

ABSTRACT Objective: Systematic client feedback (SCF), the regular monitoring and informing of patients’ progress during therapy to patient and therapist, has been found to have effects on treatment outcomes varying from very positive to slightly negative. Several prior studies have been biased by researcher allegiance or lack of an independent outcome measure. The current study has taken this into account and aims to clarify the effects of SCF in outpatient psychological treatment. Method: Outpatients (n = 1733) of four centers offering brief psychological treatments were cluster randomized to either treatment as usual (TAU) or TAU with SCF based on the Partners for Change Outcome Management System (PCOMS). Primary outcome measure was the Outcome Questionnaire (OQ-45). Effects of the two treatment conditions on treatment outcome, patient satisfaction, dropout rate, costs, and treatment duration were assessed using a three-level multilevel analysis. DSM-classification, sex, and age of each patient were included as covariates. Results: In both analyses, SCF significantly improved treatment outcome, particularly in the first three months. No significant effects were found on the other outcome variables. Conclusions: Addition of systematic client feedback to treatment as usual, is likely to have a beneficial impact in outpatient psychological treatment. Implementation requires a careful plan of action. Clinical or methodological significance of this article: This study, with large sample size and several independent outcome measures, provides strong evidence that addition of systematic client feedback to outpatient psychological treatment can have a beneficial effect on treatment outcome (symptoms and wellbeing), particularly in the first three months. However, implementation requires a careful plan of action.
Factors affecting teacher educators adoption of formative assessment strategies in the mathematics classroom

The purpose of this study was to look into the factors that influence mathematics teacher educators' formative assessment practices. This paper took a qualitative case study research design approach with six educators teaching mathematics in three teacher Colleges of Education in Ghana. The exploration focused on factors that hinders teacher educators use of formative assessment practices. Data were generated through the administration of semi – structured interviews and lesson observations. The qualitative data was analyzed using thematic analysis. Findings revealed that major factors which limit teacher educators formative assessment practices were: large class size, time, lack of transparency in assessment, and internal and external summative assessment issues. The factors limiting teacher educators' use of formative assessment (FA) discussed in this study are beneficial for teacher college administration in addressing the issues and educators in assisting pre-service teachers in eliminating these factors during their training and after passing out from the college of education to the teaching field. Based on the findings, it is recommended that a large scale study is conducted on factors that affect teachers formative assessment practices and the effect on students mathematics learning.
Current Situation and Prospect of Additive Manufacturing Piezoceramics

: As an important functional material, piezoelectric ceramics not only have the characteristics of high strength, high hardness, corrosion resistance, etc . , but also can realize the mutual conversion between mechanical energy and electrical energy. Piezoelectric ceramics are widely used in sensors, drivers, capacitors and other piezoelectric parts. It plays an important role in high-end equipment such as marine exploration, biomedicine, and electronic communications. The development requirements of intelligent, integrated, and lightweight piezoelectric functional devices in advanced technology fields have made the shape of piezoelectric ceramics more and more complex. However, traditional fabricat-ing processes, such as slip casting, injection molding, mould pressing and machining, depend on Additive manufacturing technology can rapidly fabricate any complex structure parts based on the layer-by-layer fabri-cating principle and has the advantages of high molding efficiency and no need for molds. It can meet the needs of individualized, integration, and complex manufacturing. In recent years, it has received extensive attention from re-searchers in the field of piezoelectric ceramics at domestic and abroad. This article summarizes the main types of current additive manufacturing piezoelectric ceramics and their development status from the perspective of the three raw material forms: powder, slurry, and bulk materials, and comprehensively compares the characteristics of various processes. The application of additive manufacturing of piezoelectric ceramics in different fields has also been introduced. Finally, the challenges faced by additive manufacturing piezoelectric ceramics and the possible future development trends of it are summarized and prospected.
Design of a Mechanical Exoskeleton System for Improving Hand-Gripping Force

Patients may lose part of the hand-gripping force, because of the diseases of stroke, carpal tunnel syndrome, nerve damage etc, which lead to greatly inconvenience during their daily life. The research work in this area has been really investigated in the world, and is with significant importance in medical and military areas. A mechanical exoskeleton system is designed in this project for improving hand-gripping force of these patients. The designed mechanical exoskeleton system in this project includes five parts: exoskeleton framework, finger motion intention detecting system, extra force output system, joints’ angle holding system and central construe system. In this study, titanium alloy are eventually adopted as the material of the exoskeleton framework after the mechanical analysis. A contact type sensor system for detecting finger motion intention, gripping or releasing object is also adopted in this project. Titanium-Nickel (Ti-Ni) shape memory alloy (SMA) plates are used here to provide extra 2N force for helping patients grip an object under 140g. A Ti-Ni plate based joint lock system has also been designed here for holding the angles of fingers’ joints.
Modeling of the 5G-Band Patch Antennas Using ANNs under the Uncertainty of the Geometrical Design Parameters Associated with the Manufacturing Process

In the paper, the author deals with modeling the stochastic behavior of ordinary patch antennas in terms of the mean and standard deviation of their reflection coefficient |S11| under the geometrical uncertainty associated with their manufacturing process. The Artificial Neural Network is used to model the stochastic reflection coefficient of the antennas. The Polynomial Chaos Expansion and FDTD computations are used to obtain the training and testing data for the Artificial Neural Network. For the first time, the author uses his analytical transformations to reduce the required number of highly time-consuming FDTD simulations for a given set of nominal values of the design parameters of the ordinary patch antenna. An analysis is performed for n257 and n258 frequency bands (24.5–28.7 GHz). The probability distributions of the design parameters are extracted from the measurement results obtained for a series of manufactured patch antenna arrays for three different frequencies in the C, X, and Ka bands. Patch antennas are chosen as the subject of the scientific analysis in this paper because of the popularity of the patch antennas in the scientific literature concerning antennas, as well as because of a simple form of these antennas that is reflected in the time required for computation of training and testing data for the Artificial Neural Network.
Impact of Ionic Liquid Structure and Loading on Gas Sorption and Permeation for ZIF-8-Based Composites and Mixed Matrix Membranes

Carbon dioxide (CO2) capture has become of great importance for industrial processes due to the adverse environmental effects of gas emissions. Mixed matrix membranes (MMMs) have been studied as an alternative to traditional technologies, especially due to their potential to overcome the practical limitations of conventional polymeric and inorganic membranes. In this work, the effect of using different ionic liquids (ILs) with the stable metal–organic framework (MOF) ZIF-8 was evaluated. Several IL@ZIF-8 composites and IL@ZIF-8 MMMs were prepared to improve the selective CO2 sorption and permeation over other gases such as methane (CH4) and nitrogen (N2). Different ILs and two distinct loadings were prepared to study not only the effect of IL concentration, but also the impact of the IL structure and affinity towards a specific gas mixture separation. Single gas sorption studies showed an improvement in CO2/CH4 and CO2/N2 selectivities, compared with the ones for the pristine ZIF-8, increasing with IL loading. In addition, the prepared IL@ZIF-8 MMMs showed improved CO2 selective behavior and mechanical strength with respect to ZIF-8 MMMs, with a strong dependence on the intrinsic IL CO2 selectivity. Therefore, the selection of high affinity ILs can lead to the improvement of CO2 selective separation for IL@ZIF-8 MMMs.
Minimum impulse thruster valve design and development

The design and development of a minimum impulse thruster valve was conducted, by Moog, under contract by NASA's Jet Propulsion Laboratory, California Institute of Technology, for deep space propulsion systems. The effort was focused on applying known solenoid design techniques scaled to provide a 1 -millisecond response capability for monopropellant, hydrazine ACS thruster applications. The valve has an extended operating temperature range of 20(deg)F to +350(deg)F with a total mass of less than 25 grams and nominal power draw of 7 watts. The design solution resulted in providing a solenoid valve that is one-tenth the scale of the standard product line. The valve has the capability of providing a mass flow rate of 0.0009 pounds per second hydrazine. The design life of 1,000,000 cycles was demonstrated both dry and wet. Not all design factors scaled as expected and proved to be the focus of the final development effort. These included the surface interactions, hydrodynamics and driver electronics. The resulting solution applied matured design approaches to minimize the program risk with innovative methods to address the impacts of scale.
Comprehensive Indicator Bank for Resilience of Water Supply Systems

Appropriate indicators are required to measure the resilience of water supply systems (WSSs). However, it is challenging to identify appropriate indicators since there is no comprehensive database of indicators to measure its resiliency. This study will establish a comprehensive bank of indicators to assist water corporations and decision-makers in selecting appropriate indicators for their particular system. The suggested indicator bank is comprised of three layers such as dimension, attributes, and the number of indicators resulting from 12 different indicator codes that the study has analysed. In addition, this paper presents instructions on how the indicator bank can be used and integrated with water enterprises, enabling decision-makers to pick the relevant indicators. The proposed indicator bank is an exploratory approach that should be validated in a real work setting since resilience is a challenging concept, and WSSs are complex due to their dependencies to other lifelines such as power networks with too many variables that may affect the actual outcomes.
Graphene loaded waveguide for millimeter‐wave applications

This article presents a full wave analysis of a rectangular wave guide loaded with a double‐layered graphene sheet mounted on a finite‐thickness dielectric slab. The chemical potential of the graphene sheet is controlled by the applied electrical potential between the two layers of the graphene sheet which subsequently controls the surface conductivity of the graphene sheet. This property is found to have a significant effect at frequencies above 50 GHz. By controlling the conductivity of the graphene sheet it would be possible to control the amplitude and phase of the transmission and refraction coefficients along the waveguide section. This feature can be used in different applications in mm‐wave range like switches, attenuators, filters, resonators, and modulators. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:2762–2766, 2014
Dynamics of Contextual Factors, Technology Paradox, and Job Performance in Smartphone Usage: A Systematic Review

The purpose of this paper is to explore the theories pertaining to the dynamics of contextual factors, technology paradox, and job performance of employees so as to answer specific questions related to the theories’ progressive advancement, and to evaluate the relationships among them in the context of mobile phones, using the evidence-based systematic review methodology. The term technology paradox has evolved over past decades, and theories have been postulated to explain its nature and relationships with its antecedents and outcomes; however, there is a dearth in the integrative models. Thus, the theory of paradox has been combined with other theoretical lenses to conceptualize tensions and responses to enrich extant theories on technology paradox and job performance. The finding of the study identifies seven research gaps in the available literature, which need to be plugged so that a holistic model is developed to address the interrelationships among the aforementioned research constructs.
Nutritional Considerations for Injury Prevention and Recovery in Combat Sports

Sports participation is not without risk, and most athletes incur at least one injury throughout their careers. Combat sports are popular all around the world, and about one-third of their injuries result in more than 7 days of absence from competition or training. The most frequently injured body regions are the head and neck, followed by the upper and lower limbs, while the most common tissue types injured are superficial tissues and skin, followed by ligaments and joint capsules. Nutrition has significant implications for injury prevention and enhancement of the recovery process due to its effect on the overall physical and psychological well-being of the athlete and improving tissue healing. In particular, amino acid and protein intake, antioxidants, creatine, and omega-3 are given special attention due to their therapeutic roles in preventing muscle loss and anabolic resistance as well as promoting injury healing. The purpose of this review is to present the roles of various nutritional strategies in reducing the risk of injury and improving the treatment and rehabilitation process in combat sports. In this respect, nutritional considerations for muscle, joint, and bone injuries as well as sports-related concussions are presented. The injury risk associated with rapid weight loss is also discussed. Finally, preoperative nutrition and nutritional considerations for returning to a sport after rehabilitation are addressed.
Stakeholder analysis in project planning: origins, applications and refinements of the method

Stakeholder topics are one of the main ideas in development thinking that have been introduced in recent years. Based on methods for stakeholder analysis given by the Overseas Development Administration and Team UP software, a combined method was used to analyse two projects, one in India the other in Nigeria. The results are discussed and a revised method for stakeholder analysis is proposed.
The relevance of genetic structure in ecotype designation and conservation management

The concept of ecotypes is complex, partly because of its interdisciplinary nature, but the idea is intrinsically valuable for evolutionary biology and applied conservation. The complex nature of ecotypes has spurred some confusion and inconsistencies in the literature, thereby limiting broader theoretical development and practical application. We provide suggestions for how incorporating genetic analyses can ease confusion and help define ecotypes. We approach this by systematically reviewing 112 publications across taxa that simultaneously mention the terms ecotype, conservation and management, to examine the current use of the term in the context of conservation and management. We found that most ecotype studies involve fish, mammals and plants with a focus on habitat use, which at 60% was the most common criterion used for categorization of ecotypes. Only 53% of the studies incorporated genetic analyses, and major discrepancies in available genomic resources among taxa could have contributed to confusion about the role of genetic structure in delineating ecotypes. Our results show that the rapid advances in genetic methods, also for nonmodel organisms, can help clarify the spatiotemporal distribution of adaptive and neutral genetic variation and their relevance to ecotype designations. Genetic analyses can offer empirical support for the ecotype concept and provide a timely measure of evolutionary potential, especially in changing environmental conditions. Genetic variation that is often difficult to detect, including polygenic traits influenced by small contributions from several genes, can be vital for adaptation to rapidly changing environments. Emerging ecotypes may signal speciation in progress, and findings from genome‐enabled organisms can help clarify important selective factors driving ecotype development and persistence, and thereby improve preservation of interspecific genetic diversity. Incorporation of genetic analyses in ecotype studies will help connect evolutionary biology and applied conservation, including that of problematic groups such as natural hybrid organisms and urban or anthropogenic ecotypes.
Microwire Feeder for Laser Applications

This paper focuses on the design and development of a fine microwire feeder for laser applications. The use of metallic wires as a medium of deposition has been popular in aerospace and car manufacturing industries. These micro sized wires are also gaining importance in medical and semi-conductor industries. The use of wire-feeders in laser welding and electrical discharge machining applications has been prominent. There are devices used in laser applications which can handle wires from 0.25mm to 10.0 mm in diameter. The handling of microsized wire in laser application is often considered difficult due to its low buckling strength exposure to harsh environment. The primary function of the microwire feeder described in this paper was to feed wires of varying microdiameters to a desired location with high accuracy and precision to be used in a laser aided manufacturing processes. This can be designed by dividing the microwire feeder into four basic sub-mechanisms: (1) feeding mechanism (2) transfer mechanism (3) precision guidance mechanism (4) adjustment mechanism. These sub-mechanisms are integrated to account for compactness, flexibility and precision. This microwire feeder is capable of handling wires as low as 0.05 mm in diameter. The precision and accuracy of the device was experimentally tested prior to its practical application. A case study on laser deposition was presented; where; a 316 stainless steel microwire of 0.125 mm diameter was fed into a melt pool of 0.2 mm. The wire feed and the traverse speed of the table were varied to achieve a uniformly distributed clad. The effect of wire feed and traverse speed were studied and a deposition process window was developed for future experimentation.
Soft-switched matrix converter for high frequency direct AC-to-AC power conversion

Abstract A soft-switched matrix converter is proposed using the zero voltage switching technique in some resonant pole inverters. A high operating frequency with safe and efficient switching improves the dynamic and spectral performances and simplifies the protection logics and snubber networks. Further, it can be implemented using simple analogue circuits, having similar transfer characteristics to those of the modern pulse width modulated matrix converters, such as maximum voltage transfer ratio and unity input displacement factor. Analyses, design and simulation results are presented to verify the operating principle.
Assessment of animal diseases caused by bacteria resistant to antimicrobials: Horses

Abstract In this opinion, the antimicrobial‐resistant bacteria responsible for transmissible diseases that constitute a threat to the health of horses have been assessed. The assessment has been performed following a methodology composed of information collected via an extensive literature review and expert judgement. Details on the methodology used for this assessment are explained in a separate opinion. A global state of play of antimicrobial‐resistant Actinobacillus equuli, Dermatophilus congolensis, Enterococcus spp. , Escherichia coli, Klebsiella pneumoniae, Pasteurella spp. , Pseudomonas aeruginosa, Rhodococcus equi, Staphylococcus aureus and Streptococcus dysgalactiae subsp. dysgalactiae/equisimilis and Streptococcus equi subsp. equi and subsp. zooepidemicus has been provided. Among those bacteria, EFSA identified E. coli, Staphylococcus aureus and R. equi with more than 66% certainty as the most relevant antimicrobial‐resistant bacteria in the EU, given their importance as causative agents of clinical disease in horses and the significant levels of resistance to clinically relevant antimicrobials. The animal health impact of these ‘most relevant’ bacteria as well as their eligibility of being listed and categorised within the animal health law framework will be assessed in separate scientific opinions.
PREDICTION OF DIABETES SCREENING BY USING DATA MINING ALGORITHMS

Diabetes is one of the most common non-communicable diseases in the world. Diabetes affects the ability to produce the hormone insulin. Thus, complications may occur if diabetes remains untreated and unidentified. That features a significant contribution to increased morbidity, mortality, and admission rates of patients in both developed and developing countries. When disease is not detected early, it leads to complications. Medical records of the cases were retrospective. Anthropometric and biochemical information was collected. From this data, four ML classification algorithms, including Decision Tree (J48), Naive-Bayes, PART rule induction, and JRIP, were used to prognosticate diabetes. Precision, recall, F-Measure, Receiver Operating Characteristics (ROC) scores, and the confusion matrix were calculated to determine the performance of the various algorithms. The performance was also measured by sensitivity and specificity. They have high classification accuracy and are generally comparable in predicting diabetes and free diabetes patients. Among the selected algorithms tested, the Decision Tree Classifier (J48) algorithm scored the highest accuracy and was the best predictor, with a classification accuracy of 92.74%.