Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Influencing the Implementation of Foreign Innovations in Organization and Management of Health Service Delivery in China: A Systematic Review

Background: China has been encouraged to learn from international innovations in the organization and management of health service delivery to achieve the national health reform objectives. However, the success and effectiveness of implementing innovations is affected by the interactions of innovations with the Chinese context. Our aim is to synthesize evidence on factors influencing the implementation of non-Chinese innovations in organization and management of health service delivery in mainland China. Methods: A systematic review was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched seven databases for peer-reviewed articles published between 2009 and 2020. Data were analyzed and combined to generate a list of factors influencing the implementation of foreign innovations in China. The factors were classified in the categories context, system, organization, innovation, users, resources, and implementation process. Results: The 110 studies meeting the inclusion criteria revealed 33 factors. Most supported by evidence is the factor integration in organizational policies, followed by the factors motivation & incentives and human resources. Some factors (e.g., governmental policies & regulations) were mentioned in multiple studies with little or no evidence. Conclusion: Evidence on factors influencing the implementation of foreign innovations in organization and management of health service delivery is scarce and of limited quality. Although many factors identified in this review have also been reported in reviews primarily considering Western literature, this review suggests that extrinsic motivation, financial incentives, governmental and organizational policies & regulations are more important while decentralization was found to be less important in China compare to Western countries. In addition, introducing innovations in rural China seems more challenging than in urban China, because of a lack of human resources and the more traditional rural culture.
The Influence of Heel Height on Strain Variation of Plantar Fascia During High Heel Shoes Walking-Combined Musculoskeletal Modeling and Finite Element Analysis

The therapeutic benefit of high heel shoes (HHS) for plantar fasciitis treatment is controversial. It has been suggested that plantar fascia strain can be decreased by heel elevation of shoes which helps in body weight redistribution throughout the length of the foot. Yet it is a fact that the repetitive tension caused by HHS wearing resulting in plantar fasciitis is a high-risk disease in HHS individuals who suffer heel and plantar pain. To explore the biomechanical function on plantar fascia under HHS conditions, in this study, musculoskeletal modeling (MsM) and finite element method (FEM) were used to investigate the effect of heel height on strain distribution of plantar fascia. Three-dimensional (3D) and one-dimensional (1D) finite element models of plantar fascia were generated to analyze the computed strain variation in 3-, 5-, and 7-cm heel heights. For validation, the computed foot contact pressure was compared with experimental measurement, and the strain value on 1D fascia was compared with previous studies. Results showed that the peak strain of plantar fascia was progressively increased on both 3D and 1D plantar fascia as heel elevated from 3 to 7 cm, and the maximum strain of plantar fascia occurs near the heel pain site at second peak stance. The 3D fascia model predicted a higher strain magnitude than that of 1D and provided a more reliable strain distribution on the plantar fascia. It is concluded that HHS with narrow heel support could pose a high risk on plantar fasciitis development, rather than reducing symptoms. Therefore, the heel elevation as a treatment recommendation for plantar fasciitis is questionable. Further studies of different heel support structures of shoes to quantify the effectiveness of heel elevation on the load-bearing mechanism of plantar fascia are recommended.
Levantamento etnobotânico de plantas medicinais na cidade de Ipameri - GO

The aims of this study were: to identify the plant species used for medicinal purposes by the community at Ipameri (Goias State); to investigate the preferences with respect to the production and marketing of these plants; and to diagnose the gender profile and the age and wage ranges of users. Thus, structured interviews were conducted with 200 families in the city and plants were collected for their correct identification. The material was herborized, identified and deposited in the Herbarium of "Universidade Estadual de Goias" (HUEG). Of the 200 families interviewed, 75 said they did not make use of plants for medicinal purposes (37.5%), while 125 said they do use them (62.5%). The latter group reported the 35 most used species: "hortela-rasteira" (Mentha x villosa L.), "boldo-sete-dores" (Plectranthus barbatus Andrews.), lemon grass (Cymbopogon citratus (DC.) Stapf. ), "quebra-pedra" (Phyllanthus niruri L.), chamomile (Chamomilla recutita (L.) Rauschert. ), pennyroyal (Mentha pulegium L.), guaco (Mikania glomerata Spreng.), mentrasto (Ageratum conyzoides L.), clove basil (Ocimum gratissimum L.), wormwood (Artemisia canphorata Vill.), balm (Eysenhardtia platycarpa Mich.), broom (Baccharis trimera (Less.) DC. ), fennel (Foeniculum vulgare Mill.), aloe (Aloe vera L.) and mallow (Althaea officinalis L.). All consumer families (100%) stated to prefer plants grown organically, to select the plants based on their good appearance (68% families) and to eat them in natura (unprocessed, 100%). The use of medicinal plants in Ipameri is independent of gender (54% womem and 46% men) and extends to several age and socioeconomic ranges, configuring thus a good consumer market.
Playing Roles in Work and Family: Effects of Work/Family Conflicts on Job and Life Satisfaction Among Junior High School Teachers

Junior high school teachers play an essential role in education. How to relieve the worries of teachers, that is, the pressure they face in the fields of work and family, has increasingly become an urgent problem. Based on the COR theory, this study aims to investigate the effects of two types of work/family conflicts (i.e., work-family conflict and family-work conflict) on teachers’ job and life satisfaction. We adopted a handy sample method and collected a total of 560 junior high school teachers data. The results confirmed that both work-family and family-work conflicts are not significantly related to junior high school teachers’ job satisfaction and life satisfaction directly. However, both work-family and family-work conflicts have significantly negatively influence on junior high school teachers’ job satisfaction and life satisfaction via psychological capital and emotional exhaustion. Our findings provide new suggestions on how to alleviate the conflicts between work and family faced by teachers and further improve their satisfaction about work and family.
Positive Affect Predicts Turnover Intention Mediated by Online Work Engagement: A Perspective of R&D Professionals in the Information and Communication Technology Industry

Remote work has become the most popular approach during the COVID-19 lockdown; however, remote work engagement is an issue which creates challenges for human resource management. Some individuals engage in work no matter how difficult the job is, but some people’s minds wander, no matter how simple the job is. To address this issue, this study drew on trait activation theory, which indicates that one’s positive disposition may affect one’s turnover intention mediated by work engagement, to formulate a research model to test the associations among R&D professionals. Questionnaires were distributed to R&D professionals working in China information and communication technology (ICT) through several Instant Message groups. In total, 386 valid questionnaires were collected for confirmatory factor analysis with structural equation modeling to verify the research model. The study found that positive affect can positively predict three types of remote work engagement: the cognitive, emotional, and behavioral engagement of R&D personnel. All three types of remote work engagement of R&D personnel can negatively predict their turnover intention. The results suggest that if human resource managers working in the ICT industry want to reduce the turnover intention rate of R&D workers under pressure from COVID-19, they should enhance workers’ remote engagement by selecting R&D workers with a high level of positive affect.
Comparison of Necrotizing Enterocolitis in Pre-mature Infants vs. Term-Born Infants With Congenital Heart Disease

Purpose: Necrotizing enterocolitis (NEC) is a serious illness that occurs among premature infants and term-born infants with congenital heart disease (CHD). Prior studies have suggested these two groups may experience different disease entities. We sought to evaluate if there are differences in disease characteristics between these two populations. Materials and Methods: A retrospective chart review of infants treated for Bells stage 2-3 NEC from 2011 to 2020 was performed. Demographic information, CHD diagnoses and clinical data were recorded. Prior to data analysis, patients were divided into two groups: term-born patients with CHD (TC) and premature patients without CHD (PT). Results: 99 patients were analyzed−23 TC patients and 76 PT patients. Platelet counts (222.7 ± 176.1 vs. 310.2 ± 174.5 cells/uL, P = 0.03) and C-reactive protein (CRP) levels (53.6 ± 81.7 vs. 117.6 ± 90.4 mg/L, P < 0.001) were significantly higher among the PT group. In addition, PT patients were more likely to develop pneumatosis (30.4 vs. 68.4%, P = 0.002) than TC patients. NEC-specific mortality was similar between both groups of patients. Conclusions: When compared to TC patients, PT patients had higher CRP levels, higher platelet counts and more commonly developed pneumatosis. These factors may point toward a difference in disease pathophysiology regarding NEC development in premature patients vs. term-born patients with CHD.
Detection of Antibody Responses Against SARS-CoV-2 in Plasma and Saliva From Vaccinated and Infected Individuals

Antibodies (Abs) are essential for the host immune response against SARS-CoV-2, and all the vaccines developed so far have been designed to induce Abs targeting the SARS-CoV-2 spike. Many studies have examined Ab responses in the blood from vaccinated and infected individuals. However, since SARS-CoV-2 is a respiratory virus, it is also critical to understand the mucosal Ab responses at the sites of initial virus exposure. Here, we examined plasma versus saliva Ab responses in vaccinated and convalescent patients. Although saliva levels were significantly lower, a strong correlation was observed between plasma and saliva total Ig levels against all SARS-CoV-2 antigens tested. Virus-specific IgG1 responses predominated in both saliva and plasma, while a lower prevalence of IgM and IgA1 Abs was observed in saliva. Antiviral activities of plasma Abs were also studied. Neutralization titers against the initial WA1 (D614G), B.1. 1.7 (alpha) and B.1. 617.2 (delta) strains were similar but lower against the B.1. 351 (beta) strain. Spike-specific antibody-dependent cellular phagocytosis (ADCP) activities were also detected and the levels correlated with spike-binding Ig titers. Interestingly, while neutralization and ADCP potencies of vaccinated and convalescent groups were comparable, enhanced complement deposition to spike-specific Abs was noted in vaccinated versus convalescent groups and corresponded with higher levels of IgG1 plus IgG3 among the vaccinated individuals. Altogether, this study demonstrates the detection of Ab responses after vaccination or infection in plasma and saliva that correlate significantly, although Ig isotypic differences were noted. The induced plasma Abs displayed Fab-mediated and Fc-dependent functions with comparable neutralization and ADCP potencies, but a greater capacity to activate complement was elicited upon vaccination.
The Differential Effects of Propylthiouracil and Methimazole as Graves’ Disease Treatment on Vascular Atherosclerosis Markers: A Randomized Clinical Trial

Background Hyperthyroidism is related to vascular atherosclerosis. Propylthiouracil (PTU) and methimazole, other than their antithyroid effects, may have different mechanisms in preventing atherogenesis in Graves’ disease. Objective This study aimed to investigate the effect of antithyroid drugs on markers of vascular atherosclerosis in Graves’ hyperthyroidism. Methods This study was a single-blind, randomized clinical trial conducted on 36 patients with Graves’ disease in Cipto Mangunkusumo General Hospital, Jakarta, Indonesia, from June 2019 until July 2020. Graves’ disease was diagnosed from clinical manifestation of hyperthyroidism with diffuse goiter and then confirmed by thyroid stimulation hormone (TSH), free T4 (fT4), and TSH-receptor antibody (TRAb) measurements. Participants were randomly assigned to either a PTU or a methimazole treatment group and followed up for 3 months. Markers of vascular atherosclerosis were represented by adhesion molecules [intercellular adhesion molecule-1 (ICAM-1), vascular cell adhesion molecule-1 (VCAM-1), and E-selectin], carotid artery stiffness [pulse wave velocity (PWV)], and thickness [carotid intima media thickness (cIMT)]. Results By the end of the study, 24 participants reached euthyroid condition (13 from the PTU group and 11 from the methimazole group). After 3 months of follow-up, in the PTU group, we noticed an improvement of ICAM-1 [pretreatment: 204.1 (61.3) vs. posttreatment: 141.6 (58.4) ng/ml; p = 0.001], VCAM-1 [837 (707–977) vs. 510 (402–630) ng/ml; p < 0.001] and E-selectin [32.1 (24.1–42.7) vs. 28.2 (21.6–36.8) ng/ml; p = 0.045] in the PTU group. In the methimazole group, only VCAM-1 improvement [725 (565–904) vs. 472 (367–590); p = 0.001] was observed. Meanwhile, we found no significant changes in PWV or cIMT in either group. Conclusion Antithyroid treatment in Graves’ disease leads to improvement in adhesion molecules, with a lesser effect on methimazole, whereas there were no significant changes in PWV or cIMT. PTU may have a better mechanism compared with methimazole in terms of improving adhesion molecules.
Bark Transpiration Rates Can Reach Needle Transpiration Rates Under Dry Conditions in a Semi-arid Forest

Drought can cause tree mortality through hydraulic failure and carbon starvation. To prevent excess water loss, plants typically close their stomata before massive embolism formation occurs. However, unregulated water loss through leaf cuticles and bark continues after stomatal closure. Here, we studied the diurnal and seasonal dynamics of bark transpiration and how it is affected by tree water availability. We measured continuously for six months water loss and CO2 efflux from branch segments and needle-bearing shoots in Pinus halepensis growing in a control and an irrigation plot in a semi-arid forest in Israel. Our aim was to find out how much passive bark transpiration is affected by tree water status in comparison with shoot transpiration and bark CO2 emission that involve active plant processes, and what is the role of bark transpiration in total tree water use during dry summer conditions. Maximum daily water loss rate per bark area was 0.03–0.14 mmol m−2 s−1, which was typically ~76% of the shoot transpiration rate (on leaf area basis) but could even surpass the shoot transpiration rate during the highest evaporative demand in the control plot. Irrigation did not affect bark transpiration rate. Bark transpiration was estimated to account for 64–78% of total water loss in drought-stressed trees, but only for 6–11% of the irrigated trees, due to differences in stomatal control between the treatments. Water uptake through bark was observed during most nights, but it was not high enough to replenish the lost water during the day. Unlike bark transpiration, branch CO2 efflux decreased during drought due to decreased metabolic activity. Our results demonstrate that although bark transpiration represents a small fraction of the total water loss through transpiration from foliage in non-stressed trees, it may have a large impact during drought.
A Demand-Side Load Event Detection Algorithm Based on Wide-Deep Neural Networks and Randomized Sparse Backpropagation

Event detection is an important application in demand-side management. Precise event detection algorithms can improve the accuracy of non-intrusive load monitoring (NILM) and energy disaggregation models. Existing event detection algorithms can be divided into four categories: rule-based, statistics-based, conventional machine learning, and deep learning. The rule-based approach entails hand-crafted feature engineering and carefully calibrated thresholds; the accuracies of statistics-based and conventional machine learning methods are inferior to the deep learning algorithms due to their limited ability to extract complex features. Deep learning models require a long training time and are hard to interpret. This paper proposes a novel algorithm for load event detection in smart homes based on wide and deep learning that combines the convolutional neural network (CNN) and the soft-max regression (SMR). The deep model extracts the power time series patterns and the wide model utilizes the percentile information of the power time series. A randomized sparse backpropagation (RSB) algorithm for weight filters is proposed to improve the robustness of the standard wide-deep model. Compared to the standard wide-deep, pure CNN, and SMR models, the hybrid wide-deep model powered by RSB demonstrates its superiority in terms of accuracy, convergence speed, and robustness.
GANlapse Generative Photography

We describe the incorporation of text-to-image generative deep learning techniques into an art practice for making video pieces akin to time-lapse photography. We show that the process can be suitably controlled to ﬁnd a latent vector able to generate an appropriate image, construct nearby vectors for similar images and interpolate between them to produce video pieces. We describe the process, how this ﬁts into the GAN-art movement, and the cultural impact of this work in terms of an online and physical art exhibition in the Etopia arts and technology centre in Spain.
Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systems

Human-AI co-creativity involves both humans and AI collaborating on a shared creative product as partners. In a creative collaboration, interaction dynamics, such as turn-taking, contribution type, and communication, are the driving forces of the co-creative process. Therefore the interaction model is a critical and essential component for effective co-creative systems. There is relatively little research about interaction design in the co-creativity field, which is reflected in a lack of focus on interaction design in many existing co-creative systems. The primary focus of co-creativity research has been on the abilities of the AI. This article focuses on the importance of interaction design in co-creative systems with the development of the Co-Creative Framework for Interaction design (COFI) that describes the broad scope of possibilities for interaction design in co-creative systems. Researchers can use COFI for modeling interaction in co-creative systems by exploring alternatives in this design space of interaction. COFI can also be beneficial while investigating and interpreting the interaction design of existing co-creative systems. We coded a dataset of existing 92 co-creative systems using COFI and analyzed the data to show how COFI provides a basis to categorize the interaction models of existing co-creative systems. We identify opportunities to shift the focus of interaction models in co-creativity to enable more communication between the user and AI leading to human-AI partnerships.
Lubrication of porous parallel plate slider bearing with slip velocity, material parameter and magnetic fluid

Purpose – Our purpose was to theoretically analyse the effects of slip velocity and a magnetic fluid lubricant characterised by a material parameter on a parallel plate porous slider bearing. Various special cases were also discussed.Design/methodology/approach – The analysis might be useful in designing better slider bearings useful in machines like gas turbines.Findings – Computed values displayed in tabular form show that frictional force on the slider and the coefficient of friction decreased, the load capacity and the position of the centre of pressure unaltered when the slip parameter was increased. On the other hand, increase in the material parameter caused decrease in the frictional force and the coefficient of friction and, shift of the position of the centre of pressure towards the bearing inlet with no change in the load capacity of the bearing.Originality/value – The parallel plate slider bearing cannot support a load with a conventional lubricant. However, it can support a load with a magnet.
What Does it Take to Cross the Aesthetic Gap? The Development of Image Aesthetic Quality Assessment in Computer Vision

Computer vision research into image aesthetic quality assessment seeks to use machine learning to measure the aesthetic quality of images, which bears resemblance to a variety of topics within computational creativity, but has not been discussed in our community. To foster a conversation around this research literature, we trace the development of computer vision algorithms for aesthetic judgment over the past ﬁfteen years and critically consider whether these algorithms actually cross the “aesthetic gap” proposed by the ﬁrst researchers in this space. We then build towards a more fundamental question regarding machine learning and subjectivity.
Characteristic Function of Conditional Linear Random Process

A continuous-time conditional linear random process (CLRP) is studied as a mathematical model of the stochastic signal generated in the form of a sum of a large quantity of stochastically dependent random impulses occurring at the Poisson times with applications in different areas of computer science and information technology. The model has been defined as a special stochastic integral driven by the process with independent increments. The characteristic function of CLRP has been obtained, the examples of finding the moment functions have been considered. The conditions for CLRP to be strict sense stationary have been justified.