Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation between palpatory assessment and pressure sensors in response to postural trunk tests

BACKGROUND: The evaluation of postural trunk muscle function is a critical component of clinical assessment in patients with musculoskeletal pain and dysfunction. Postural activation of the trunk muscles has been evaluated by various methods. This study evaluates the correlation between subjective assessment of postural trunk muscle function with an objective measurement of abdominal wall expansion. METHODS: Twenty-five healthy participants (16 women, 9 men, age 22.4 years) were assessed. The subjective assessment was performed by two experienced Dynamic Neuromuscular Stabilization (DNS) clinicians evaluating the quality of trunk stabilization using five postural stability tests through palpation and observation. Interrater reliability was determined using an intraclass correlation coefficients (ICC). Objective measurement was performed using a new device (DNS Brace) which externally measures abdominal wall pressure. Spearman rank correlations were calculated for both palpation and observation measures with DNS Brace data. RESULTS: The interrater reliability (ICC2,k) estimates demonstrated moderate reliability in palpation measures for three DNS tests: Hip flexion test, Diaphragm test, & Intra-abdominal pressure regulation test (IAPRT) (ICC = 0.645–0.707). For observation measures, good reliability was found in IAPRT (ICC = 0.835), and three tests demonstrated moderate reliability: Hip flexion test, Diaphragm test, & Breathing Stereotype (ICC = 0.577–0.695). Correlation analysis demonstrated several moderate to strong correlations between palpation and DNS brace values (Assessor 1): IAPRT, rs= 0.580, p= 0.002, Diaphragm test, rs= 0.543, p= 0.005, (Assessor 2): IAPRT, rs= 0.776, p< 0.001, Breathing Stereotype, rs= 0.625, p= 0.001, Diaphragm test, rs= 0.519, p= 0.008, Hip Flexion test, rs= 0.536, p= 0.006, and Arm Elevation test, rs= 0.460, p= 0.021. For observation, several moderate correlations were demonstrated with DNS brace values (Assessor 1): Arm Elevation test, rs= 0.472, p= 0.017, (Assessor 2) Diaphragm test, rs= 0.540, p= 0.005, IAPRT rs= 0.475, p= 0.016, Hip Flexion test, rs= 0.485, p= 0.014, and Arm Elevation, rs= 0.451, p= 0.024. CONCLUSION: Based on inter-rater reliability and DNS brace correlations with trained DNS professionals, the IAPRT, Diaphragm test, and Hip Flexion test may prove useful when assessing asymptomatic individuals. More research is needed in order to establish the utility of DNS brace and clinical testing both in asymptomatic and back pain populations. DNS tests must be supplemented by further examinations for definitive clinical decision making.
English majors’ perceptions of their teachers’ use of ICT in teaching of Listening-Speaking courses at Ho Chi Minh City Open University

This research investigated the perceptions of English majors at Ho Chi Minh City Open University of the use of ICT by their teachers in teaching their Listening-Speaking classes. Twenty- eight out of about 700 freshmen and sophomores who were studying the subject in-charged by 9 different teachers volunteered to participate in semi-structured interviews. The interviews were transcribed and analyzed qualitatively. The findings indicated that in general, the students have positive attitudes towards their teachers’ use of ICT in teaching English Listening-Speaking courses. Nonetheless, the interviews revealed the students’ difficulties and recommendations, which the school and the teachers should take into account. These findings set the ground for teaching recommendations and suggestions for future research presented at the end of the paper. Keywords: Students’ perception, English majors, English listening and speaking subject, use of ICT.
WIDEBAND DUAL POLARIZED COMPACT DESIGN OF PI-SHAPE MICROSTRIP ANTENNA FOR GSM, ISM, AND SATELLITE APPLICATIONS

The design of a compact Pi-shape microstrip antenna for dual-polarized wideband response is proposed. The Pi-shape geometry is realized by modifying a compact C-shape patch. The two stubs placed on the Pi-shape patch edge optimize the spacing in between the higher order TM20 and TM30 resonant modes with respect to the fundamental TM10 mode which yield a bandwidth of more than 430 MHz (> 35%). On an air suspended substrate, the antenna exhibits broadside gain of more than 5dBi over the impedance bandwidth. The orthogonal surface current variations across the TM10, TM20, and TM30 modes realize polarization agility satisfying the requirements of GSM900/navigation satellite applications/ISM900. With respect to the band start frequency, the proposed configuration offers 11% reduction as compared with the equivalent rectangular microstrip antenna. Further, by defining the resonant length at each of the Pi-shape patch modes, the formulation for their resonant frequency is proposed. The Pi-shape antennas redesigned using them at the given fundamental mode frequency yield similar dual polarized wideband responses offering bandwidth of > 35%.
Increased sensitivity of extracellular glucose monitoring based on AuNP decorated GO nanocomposites

AuNP decorated GO nanocomposites (GO-Ph-AuNP) via aryldiazonium salt chemistry have been successfully prepared, which can be used as the immobilization matrix for loading glucose oxidase (GOx) towards a sensitive glucose sensor. The fabricated nanocomposite was characterized by field emission scanning electron microscopy, UV-Vis and electrochemistry. The direct electrochemistry of GOx was successfully realized on GO-Ph-AuNP modified GC electrodes with a heterogeneous electron transfer rate constant of 8.3 s−1, revealing fast direct electron transfer of GOx. The GOx immobilized on GO-Ph-AuNP nanocomposite modified electrode retained good electrocatalytic activity toward glucose over a linear concentration range from 0.3 to 20 mM with the sensitivity of 42 μA mM−1 cm−2 and enzyme turnover rate of 112 s−1. In addition, the fabricated biosensor was capable of monitoring glucose consumption by live cells.
Research on Reliability of Spray Robot Trajectory Accuracy Based on Conjoint Analysis of Experiment and Simulation

 ： The chain-driven spraying robot is easy to realize the light weight of the body, high flexibility of the end and the design of a positive pressure explosion-proof system, in order to meet the requirements of the painting robot working space and wrist flexibility in the general coating industry such as furniture and steel structures, in-depth analysis of the motion reliability of chain-driven robots is of great significance to the improvement of spraying quality and efficiency. Aiming at the motion reliability problem of the chain-driven spraying robot, a method for analyzing the reliability of the robot's end track accuracy based on conjoint analysis of experiment and simulation is employed. The kinematics model of the spraying robot body and spray gun is established based on the method of POE, the influencing factors of motion precision of spraying robot is studied from the perspective of the performance of operating arm and motion law of industrial robot. The advantages and disadvantages of chain-driven spraying robots and the results show that the simulation results of the proposed analysis method are more accurate. The research results provide experimental foundation and theoretical basis for further analysis of robot mechanism optimization, trajectory planning and paint film quality.
Quality inspection of nectarine based on hyperspectral imaging technology

ABSTRACT In this paper, the quality detection of nectarines based on hyperspectral imaging technology is proposed. The external quality indexes consist of the intact, cracked, rust, dysmorphic and dark damaged, while the internal quality index is composed of the soluble solid content (SSC). Firstly, 480 nectarine samples (160 intact and 320 defective nectarines) with the similar shape and size are selected. Secondly, 5 spectral principal components and 6 texture values are acquired in the spectral range of 420–1000 nm based on the indexes of external and internal quality. Finally, the methods of Partial Least Squares (PLS), Least Squares Support Vector Machine(LS-SVM) and Extreme Learning Machine (ELM) are used to establish the external quality discrimination models and internal quality prediction models, respectively. As a result, accuracies of 89.73%, 94.45% and 88.62% are obtained in the identification of the external quality. SSC is predicted with determination coefficients of 0.8540, 0.8747, 0.8146, and the root mean squared errors of 0.9849, 0.9101, 1.0732. The results obtained indicate the great potential of the LS-SVM model to predict and discriminate the inner and outer quality of nectarines.
Isolation, Identification, and Characterization of a Keratin-degrading Bacterium Chryseobacterium sp. P1-3

In this study, a keratin-degrading bacterium was isolated from soil contaminated with feather waste. The isolated strain was identified as Chryseobacterium sp. P1-3 on the basis of the 16S rRNA gene sequence alignment. Chryseobacterium sp. P1-3 is currently used in various biotechnological applications (e.g., in the hydrolysis of poultry feathers). It hydrolyzed the feather meal within 2 days and possesses a high level of keratinase activity (98 U/mL). The keratinase, partially purified from this strain, prefers casein as a substrate and shows optimal activity at a temperature of 30 o C and at a pH of 8.0.
New Scalable Cold-Roll Pressing for Post-treatment of Perovskite Microstructure in Perovskite Solar Cells

We introduce a new cold-roll pressing technique to enhance microstructure of deposited pinholed perovskite layers in perovskite solar cells. This technique is proposed as an efficient post-treatment method for deposited perovskite layers that are mainly suffering from excessive number of pinholes. In this regard, we followed a set of sequential steps of partial dissolving the perovskite layer surface and a cold-roll pressing to compress and spread the semidissolved portion of the perovskite that is exposed to slight N,N-dimethylformamide (DMF) vapor. Because of applying no heating during the compressing process, the cells showed good stability against decomposition. Transformation of perovskite layer from columnar microstructures containing a large amount of uncoated TiO2 surface to a continuous and approximately pinhole-free structure resulted in an increase in the power conversion efficiency (PCE) of the cells from 8.16 to 13.24%, showing a 62% enhancement in the cell performance. For cell performance e.
CO2 Electrochemical Reduction to Methane and Methanol on Copper-Based Alloys: Theoretical Insight

We performed a systematic investigation of CO2 electroreduction to CH4 and CH3OH on copper-based alloys stepped surfaces using density functional theory calculations associated with the standard hydrogen electrode model. We determined the correlations between CO adsorption energy and the other key CxHyOz intermediates adsorption energy, the overpotential, the limiting-potential elementary step, and selectivity to CH4, CH3OH, HCOOH, and H2. The electrode efficiency decrease by OH* poisoning and the H2 evolution is also investigated. The results demonstrate that the CO* protonation is the limiting-potential step on most surfaces, with the exception on Cu3Au and Cu3Co surfaces. In spite of the excessive strong CO* interaction on some surfaces, the overpotentials reduce when the degree of CO* adsorption energy and HCO*/COH* adsorption energy decoupling increases. The CO* adsorption energy is a good descriptor for linear scaling correlations with the other CxHyOz intermediates due to the similar charge transfe.
Effect of heat, ultraviolet-B and photosynthetic active radiation stress on apple peel photosystems

Apple fruits (Malus domestica Borkh) of the cultivars Granny Smith, Fuji, Cripp’s Pink, Braeburn, Golden Delicious and Topred were harvested at three stages during fruit growth. Previously sun-exposed peels of the apple fruits Stellenbosch University https://scholar.sun.ac.za
Nutritional Evaluation of Fermented Camels’ Milk Permeate Pomegranate Beverage

This study aimed to produce fermented beverage from camels’ milk permeate mixed with different concentrations (control, 2.5, 5 and 10%) pomegranate syrup. Beverages were evaluated for their physical, chemical, rheological, microbiological and organoleptic properties. Physicochemical compositions of prepared beverages of fermented permeate of camels’ milk mixed pomegranate syrup were not significant (p≥0.05) for protein, fat and ach contents in all the examined treatments. But total solid, total sugar and pH value changed significantly (p≤0.05). All functional beverages were found rich in many mineral elements. On the other hand, total anthocyanin, phenolic compounds, total antioxidant activity contents, colour and viscosity in all prepared beverages were significantly affected (p.≤0.05). This was due to effect of exopolysaccharide being produced by probiotic bacteria used in the permeate. Bif. animalis, which resulted in the highest levels of viscosity in all the examined beverages throughout storage. Lower lost in the viability of Str. thermophilus and Lb. acidophilus was detected during storage of the beverages. The coliform bacteria, yeasts and molds were not detected in the control and in all the other treatments during all storage periods. Also, the added pomegranate syrup improved the sensory evaluation compared among all treatment. Finally, fermented permeate camels’ milk mixed with different concentrations of pomegranate syrup beverages can be recommended as a functional food product with potential health benefits and it can be marketed and consumed as healthy beverages.
Effect of Nursing Interventions on the Physical Performance Self-Efficacy among Community Dwelling Older Adults in the Pre-Frail Stage

Background : Prefrailty prevalence increases with age, and can lead to negative healthcare outcomes . Prefrailty prevention and management are very important actions to prolong independence in older adults. Self-efficacy is one of the psychological factors that are the most reliable predictors of older adults' initiation and uptake of physical activity. Gerontological nurses play a crucial role in the early identification of older adults with pre-frailty and tailoring preventive and rehabilitative multicomponent exercise interventions which are considered a key factor in decreasing, preventing, or even reverse decline associated with prefrailty. Aim of the study : To determine the effect of nursing intervention on the physical performance self-efficacy among community dwelling older adults in the pre-frail stage. Settings : El-Waffa club for older adults which affiliated to the Ministry of Social Solidarity, in Alexandria, Egypt. Subjects : Forty pre-frail community dwelling older adults were included in this study. Tools: Six tools were used to collect data ; Frailty Index for Elders, Short Physical Performance Battery, Socio-demographic and Clinical Data of Community-dwelling Elders, Barthel Index, Instrumental Activities of Daily Living, and Exercise Self-efficacy Scale. Results : statistically significant differences were found in the studied older adults’ pre-frailty status, physical performance, and their self-efficacy after the implementation of the study intervention as (P= 0.000 for all of these variables). Conclusion : physical performance self-efficacy and prefrailty status of all studied pre-frail community dwelling older adults improved after the implementation of the multicomponent exercise program. Recommendations : Prefrailty screening should be performed for all community dwelling older adults. The multicomponent exercise program can be safely and effectively incorporated into standard nursing practice in caring for pre-frail community dwelling older adults.
Energy and Latency Minimization in a Mobile Edge Computing System

Mobile Edge Computing (MEC) extends the Cloud Computing paradigm to the edge of the network, thus enabling a new breed of applications and services; hence it is considered as a promising technique to meet the demands of computing intensive and delay sensitive applications. This article describes the value for a trade off between processing time and energy in a MEC environment. The optimization problem formulated takes into account both the processing time and the dedicated energy capacity. To solve this problem we proposed a heuristic solution scheme. To evaluate our solution, we performed a comparative study with a brute force search solution. The results obtained are entirely very satisfactory.
Media and Mapping Practices in the Middle East and North Africa

A few months into the popular uprisings in the Middle East and North Africa (MENA) region in 2009/10, the promises of social media, including its ability to influence a participatory governance model, grassroots civic engagement, new social dynamics, inclusive societies and new opportunities for businesses and entrepreneurs, became more evident than ever. Simultaneously, cartography received new considerable interest as it merged with social media platforms. In an attempt to rearticulate the relationship between media and mapping practices, whilst also addressing new and social media, this interdisciplinary book abides by one relatively clear point: space is a media product. The overall focus of this book is accordingly not so much on the role of new technologies and social networks as it is on how media and mapping practices expand the very notion of cultural engagement, political activism, popular protest and social participation.
COVID-19 nurses' experiences of caring: a qualitative study

Introduction: Nurses at the frontline of providing direct care to COVID-19 patients are at risk of infection, exposure to severe physical and mental challenges and stress, which can have negative consequences for patient care The nurses' experiences can be useful for planning a safe healthcare system in the face of infective pandemics So, their experiences should be used to identify and solve the related problems, because by using the experiences of these nurses, the relevant problems can be identified Aim of the research: This study aimed to describe COVID-19 nurses' experiences of caring Material and methods: This qualitative content analysis study was conducted on 10 nurses of the COVID-19 ward of the educational Amir Al-Momenin Hospital from 10 May to 30 August, 2020 in Zabol, southeast Iran Data were collected using semi-structured interviews The data were analysed using the Graneheim and Lundman approach Results: The present qualitative content analysis was conducted on 10 nurses of a COVID-19 ward The following main themes and sub-themes were included: COVID-19 nurses' experiences of caring, multiple aspects of caring for COVID-19 patients, the challenges and requisites of COVID-19 care, and the fear of being infected by the virus and the nurses' protective self-care Conclusions: The results show the importance of taking care of patients, meeting the existing safety challenges and being able to take good care of themselves
Zero-Shot Video Event Detection With High-Order Semantic Concept Discovery and Matching

Multimedia event detection aims to precisely retrieve videos that contain complex semantic events from a large pool. This work addresses this task under a zero-shot setting, where only brief event-specific textural information (such as event names, a few descriptive sentences, etc.) is known yet none positive video example is provided. Mainstream approaches to tackling this task are middle-level semantic concept-based, where meticulously-crafted concept banks (e.g., LSCOM) are adopted. We argue that these concept banks are still inadequate facing video semantic complexity. Existing semantic concepts are essentially first-order, mainly designed for atomic objects, scenes or human actions, etc. This work advocates the utilization of high-order concepts (such as subject-predicate-object triplets or adjective-object). The main contributions are two-fold. First, we harvest a comprehensive albeit compact high-order concept library through distilling information from three large public datasets (MS-COCO, Visual Genome, and Kinetics-600), mainly related to visual relations and human-object interactions. Secondly, zero-shot events are often only briefly and partially described via textual input. The resultant semantic ambiguity makes the pursuit of the most indicative high-order concepts challenging. We thus design a novel query-expanding scheme that enriches ambiguous event-specific keywords by searching over either large common knowledge bases (e.g., WikiHow) or top-ranked webpages retrieved from modern search engines. This way sets up a more faithful connection between zero-shot events and high-order concepts. To our best knowledge, this is the first work that strives for concept-based video search beyond first-order concepts. Extensive experiments have been conducted on several large video benchmarks (TRECVID 2013, TRECVID 2014, and ActivityNet-1.3). The evaluations clearly demonstrate the superiority of our constructed high-order concept library and its complementariness to existing concepts.
Advancing the Field of Writing Analytics: Lessons from "Text-as-Data" in the Social Sciences

The field of writing analytics is currently in a state of growth, redefinition, and refinement. In this essay, I review the trajectory of a related subfield, text-as-data in political science, as a lens through which to understand the present and future of writing analytics. I first describe how text-as-data has evolved over several eras, before transitioning to a review of some of the most exciting contemporary areas of political text-as-data. I then draw parallels between these developments and the work being done by the community of writing analytics scholars across the globe. I conclude by proposing several considerations for current practitioners seeking to emulate the “success story” of political text-as-data, including investment in the collection of new, high-quality corpora, development of shareable and open-source methodological tools for text analysis, and the strengthening of a community of scholarship.
Structural Hole Theory in Social Network Analysis: A Review

Social networks now connect billions of people around the world, where individuals occupying different positions often represent different social roles and show different characteristics in their behaviors. The structural hole (SH) theory demonstrates that users occupying the bridging positions between different communities have advantages since they control the key information diffusion paths. Users of this type, known as SH spanners, are important when it comes to assimilating social network structures and user behaviors. In this article, we review the use of SHs theory in social network analysis, where SH spanners take advantage of both information and control benefits. We investigate the existing algorithms of SH spanner detection and classify them into information flow-based algorithms and network centrality-based algorithms. For practitioners, we further illustrate the applications of SH theory in various practical scenarios, including enterprise settings, information diffusion in social networks, software development, mobile applications, and machine learning (ML)-based social prediction. Our review provides a comprehensive discussion on the foundation, detection, and practical applications of SHs. The insights can facilitate researchers and service providers to better apply the theory and derive value-added tools with advanced ML techniques. To inspire follow-up research, we identify potential research trends in this area, especially on the dynamics of networks.