Miracle-dz/UniFAR-FTUs huggingface dataset:
Adherence to Guidelines for Screening Polysomnography in Children with Down Syndrome

Objectives To compare the percentage and mean age of children with Down syndrome (DS) who underwent polysomnography (PSG) to evaluate for obstructive sleep apnea (OSA) before and after the introduction of the American Academy of Pediatrics guidelines recommending universal screening by age 4 years. Study Design Retrospective cohort study. Setting Single tertiary pediatric hospital. Methods This study is a review of patients with DS seen in a subspecialty clinic. Children born preguidelines (2000-2006) were compared with children born postguidelines (2007-2012) regarding percentage receiving PSG, age at first PSG, and rate of OSA. Results We included 766 children with DS; 306 (40%) were born preguidelines. Overall, 61% (n = 467) underwent PSG, with a mean ± SD age of 4.2 ± 2.9 years at first PSG; 341 (44.5%) underwent first PSG by age 4 years. The rate of OSA (obstructive index ≥1 event/hour) among children undergoing first PSG was 78.2%. No difference was seen in the percentage receiving PSG preguidelines (63.4%) versus postguidelines (59.4%, P = .26). The mean age at the time of first PSG was 5.3 ± 3.5 years preguidelines versus 3.4 ± 2.0 years postguidelines (P < .0001). Children in the postguidelines cohort were more likely to undergo first PSG during the ages of 1 through 4 years (67.4% vs 52.1%, P < .0001). There was no difference in rates of OSA between the pre- and postguidelines cohorts (79.8% vs 75.9%, P = .32). Conclusions Nearly two-thirds of children with DS (61%) underwent PSG overall, with a significant shift toward completion of PSG at an earlier age after the introduction of the American Academy of Pediatrics guidelines for universal screening for OSA.
Attitudes toward rehabilitating inmates among occupational therapy students in the United States

Purpose This study was to examine occupational therapy (OT) students’ attitudes toward rehabilitating inmates and validate an instrument used to measure their attitudes. Methods OT students (n=128) from one university in Alabama, United States, completed an online survey exploring their attitudes toward rehabilitating inmates, which was assessed using the Rehabilitation Orientation Scale (ROS), a 7-point scale. Dimensional structure, internal consistency reliability, construct validity, and relations to other variables of the ROS was evaluated using factor analyses, Cronbach’s alpha, known-groups method, and univariable correlations, respectively. Results Unidimensionality of the ROS was confirmed with an alpha coefficient of 0.90. The mean ROS score of the respondents was 5.1; a score toward 7 indicated a more supportive attitude. About 60% of the respondents reported supportive attitudes (i.e., an ROS score ≥5). Respondents’ ROS scores were significantly higher than those of the public and criminal justice professionals. Female students reported a more supportive attitude than males. Multiple regression analysis indicated that respondents’ consideration of working in prison settings after graduation and their perception that OT has a role in prison settings were significantly associated with support for rehabilitating inmates, after controlling for gender and an acquaintance with someone who has been incarcerated. Conclusion Results indicated that the ROS demonstrated adequate psychometric properties as it applied to this population. The majority of respondents reported supportive attitudes toward rehabilitating inmates. Consideration of working in prison settings after graduation and the perception that OT has a role in prison settings were 2 independent factors associated with respondents’ attitudes toward rehabilitating inmates.
Satisfaction with Quality of Life in older Adults with Type 2 Diabetes

— Purpose : To assess satisfaction with quality of life in older adults with DM2. Methods : This is a cross-sectional study of older adults with DM2 receiving specialized care through Brazil’s National Health System . We used a questionnaire to assess health status and collect sociodemographic data and the SF-36 to asses QoL. Data were analyzed using the R statistis software and significance level of 5%. Results : Participants were 248 older adults aged 65-94 years (mean age: 73.2 ± 6.4 years). There was a predominance of: individuals aged 70-79 years (118, 47.6%), women (140, 56.5%), married individuals (142, 57.3%), individuals with up to seven years of study (161, 64.9%), retirees (232, 93.5%), individuals with monthly income of up to two minimum wages (176, 71.0%), diagnosis duration of 1-10 years (129; 52%); foot wound (25; 10.1%); and amputation (15; 6.0%). The variables that remained related to each domain in the regression model were: physical functioning – age (p=0.007), education (p=0.015), income (p=0.006), retirement (p=0.037), DM2 duration (p=0.011); physical role limitation – income (p=0.005); pain – gender (p=0.031), income (p=0.027); vitality – age (p=0.007), race (p=0.011), gender (p=0.011), education (p=0.018); social role functioning – age (p=0.005), education (p=0.043), income (p=0.005); emotional role functioning – income (p=0.004); mental health – gender (p=0.003), income (p=0.025). Conclusion: Older adults with diabetes were less satisfied with QoL, thus demonstrating that the impact of diabetes cannot be measured solely by using clinical parameters such as glycemic control and the presence of comorbities.
Shadow banking activity and entrusted loans in a DSGE model of China

This paper examines how the risky lending activities of the state-owned enterprises (SOEs) affect the effectiveness of monetary and fiscal policy in China with a shadow banking sector. We develop a dynamic stochastic general equilibrium (DSGE) macroeconomic model with two production sectors, where the SOEs have access to low cost funds from the commercial banks (also mainly state-owned) and on-lend to the private sector in the form of entrusted loans. The Bayesian estimation results show that higher restrictions on bank credit push SOEs to engage in more shadow banking in this form which dampens the effectiveness of contractionary monetary policy. Expansionary fiscal policy increases output, but crowds out private investment, which can further drain the financial market and exert a detrimental effect on the Chinese economy.
Effects of Different Weekly Sets-Equated Resistance Training Frequencies on Muscular Strength, Muscle Mass, and Body Fat in Older Women.

Pina, FLC, Nunes, JP, Schoenfeld, BJ, Nascimento, MA, Gerage, AM, Januário, RSB, Carneiro, NH, Cyrino, ES, and Oliveira, AR. Effects of different weekly sets-equated resistance training frequencies on muscular strength, muscle mass and body fat in older women. J Strength Cond Res XX(X): 000-000, 2019-The aim of this study was to analyze the effects of different resistance training (RT) frequencies (2 vs. 3 times per week) with an equivalent number of weekly sets performed between conditions on muscular strength and body composition in older women. Forty-seven older women (65 ± 4 years) were divided into 2 groups that performed a 12-week RT program either 2 (G2x and 3 sets) or 3 (G3x and 2 sets) times per week. The groups were evaluated before and after study on measures of body composition through dual-energy x-ray absorptiometry, and muscular strength through one repetition maximum (1RM) testing. Lean soft tissue was significantly increased in both groups (G2x = +1.7%, G3x = +1.7%), while only G3x reduced body fat after the intervention period (G2x = -0.7%, G3x = -2.9%). Similarly, significant increases were noted between conditions for 1RM scores in bench press (G2x = +11.8%, G3x = +11.9%) and knee extension (G2x = +17.4%, G3x = +10.8%). The results indicate that performing 2 or 3 RT sessions per week promotes similar improvements in muscular outcomes, while training more frequently may reduce body fat after 12 weeks of weekly sets-equated RT in untrained older women.
Perpendicular Magnetic Insulator Films for Spintronics

The recent progress in spintronics opens up new directions for novel device concepts and fundamental understandings. This is possible because of magnetic insulators (MIs), which have paved the way toward pure spin current-based spintronics. MIs with perpendicular anisotropy expand the horizon further, enabling new functionalities such as low-power spin-orbit torque switching, high-speed domain-wall motion, high-frequency spin-orbit torque oscillation, etc. In this chapter, we review recent progress in spintronic experiments using barium hexagonal ferrite BaFe12O19—a magnetic insulator with perpendicular anisotropy. These results lay the foundation for using MIs with perpendicular anisotropy as a medium to develop new energy-efficient pure spin current-based electronics.
Detection of seismic façade damages with multi-temporal oblique aerial imagery

ABSTRACT Remote sensing images have long been recognized as useful for the detection of building damages, mainly due to their wide coverage, revisit capabilities and high spatial resolution. The majority of contributions aimed at identifying debris and rubble piles, as the main focus is to assess collapsed and partially collapsed structures. However, these approaches might not be optimal for the image classification of façade damages, where damages might appear in the form of spalling, cracks and collapse of small segments of the façade. A few studies focused their damage detection on the façades using only post-event images. Nonetheless, several studies achieved better performances in damage detection approaches when considering multi-temporal image data. Hence, in this work a multi-temporal façade damage detection is tested. The first objective is to optimally merge pre- and post-event aerial oblique imagery within a supervised classification approach using convolutional neural networks to detect façade damages. The second objective is related to the fact that façades are normally depicted in several views in aerial manned photogrammetric surveys; hence, different procedures combining these multi-view image data are also proposed and embedded in the image classification approach. Six multi-temporal approaches are compared against 3 mono-temporal ones. The results indicate the superiority of multi-temporal approaches (up to ~25% in f1-score) when compared to the mono-temporal ones. The best performing multi-temporal approach takes as input sextuples (3 views per epoch, per façade) within a late fusion approach to perform the image classification of façade damages. However, the detection of small damages, such as smaller cracks or smaller areas of spalling, remains challenging in this approach, mainly due to the low resolution (~0.14 m ground sampling distance) of the dataset used.
Baseball Player Behavior Classification System Using Long Short-Term Memory with Multimodal Features

In this paper, a preliminary baseball player behavior classification system is proposed. By using multiple IoT sensors and cameras, the proposed method accurately recognizes many of baseball players’ behaviors by analyzing signals from heterogeneous sensors. The contribution of this paper is threefold: (i) signals from a depth camera and from multiple inertial sensors are obtained and segmented, (ii) the time-variant skeleton vector projection from the depth camera and the statistical features extracted from the inertial sensors are used as features, and (iii) a deep learning-based scheme is proposed for training behavior classifiers. The experimental results demonstrate that the proposed deep learning behavior system achieves an accuracy of greater than 95% compared to the proposed dataset.
Transcriptome reveals the gene expression patterns of sulforaphane metabolism in broccoli florets

Sulforaphane is a new and effective anti-cancer component that is abundant in broccoli. In the past few years, the patterns of variability in glucosinolate content and its regulation in A. thaliana have been described in detail. However, the diversity of glucosinolate and sulforaphane contents in different organs during vegetative and reproductive stages has not been clearly explained. In this paper, we firstly investigated the transcriptome profiles of the developing buds and leaves at bolting stage of broccoli (B52) to further assess the gene expression patterns involved in sulforaphane synthesis. The CYP79F1 gene, as well as nine other genes related to glucorahpanin biosynthesis, MAM1, MAM3, St5b-2, FMO GS-OX1, MY, AOP2, AOP3, ESP and ESM1 were selected by digital gene expression analysis and were validated by quantitative real-time PCR (qRT-PCR). Meanwhile, the compositions of glucosinolates and sulforaphane were detected for correlation analysis with related genes. Finally the RNA sequencing libraries generated 147 957 344 clean reads, and 8 539 unigene assemblies were produced. In digital result, only CYP79F1, in the glucoraphanin pathway, was up-regulated in young buds but absent from the other organs, which was consistent with the highest level of sulforaphane content being in this organ compared to mature buds, buds one day before flowering, flowers and leaves. The sequencing results also presented that auxin and cytokinin might affect glucoraphanin accumulation. The study revealed that up-regulated expression of CYP79F1 plays a fundamental and direct role in sulforaphane production in inflorescences. Two genes of MAM1 and St5b-2 could up-regulated glucoraphanin generation. Synergistic expression of MAM1, MAM3, St5b-2, FMO GS-OX1, MY, ESP and ESM1 was found in sulforaphane metabolism. This study will be beneficial for understanding the diversity of sulforaphane in broccoli organs.
Screen Media and Autism Spectrum Disorder: A Systematic Literature Review

Objective: Previous studies suggest that psychiatric disorders are associated with problematic use of screen media. This article systematically reviews the literature on the associations between screen media and autism spectrum disorder (ASD). The review uses the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Method: Electronic databases were searched from inception to April 2018, using the term “ASD/autism” along with one of the following terms: “screen time”/“media”/“computer”/“phone”/“television”/“video game. ” Results: A total of 16 studies met the inclusion criteria. The studies support the view that children and adolescents with ASD are exposed to more screen time than their typically developing peers or other clinical groups and that the exposure starts at a younger age. The content and context of screen use (e.g., with parents vs alone) may affect the behaviors associated with media exposure. Correlates and long-term consequences of early screen exposure (before the age of 3 years) remain largely unexamined. Conclusion: The current review provides important information about how ASD is associated with screen use and exposure. Future longitudinal research should examine the impact of early screen exposure on child development while accounting for potential moderating environmental factors (e.g., socioeconomic status, parent-child relationship). This will help determine whether—and if so, how much—exposure is detrimental and allow appropriate recommendations and interventions related to screen time among children with ASD.
The profitability of technical analysis: Evidence from the piercing line and dark cloud cover patterns in the forex market

Abstract We examine 112,792 daily candles using more than one million spot quotes among 24 currency pairs between 2000 and 2018. We find that chart patterns are profitable. Relying on these visually based patterns achieves returns of more than 600% after accounting for the transaction costs. Nevertheless, the transaction costs are substantial. In particular, the spread is a large burden on profitability. Overall, our evidence suggests that technical analysis could generate excess returns and that the profitability of technical analysis cannot be explained by market inefficiency. Rather, the evidence is consistent with that on the link between the efficiency and profitability of technical analysis.
Design, analysis and performance evaluation of hand gesture platform for navigation.

Prevailing technological solutions that address the problems experienced by the infirm and elderly people, for their locomotion needs, offer limited options when it comes to control mechanism and customization. For more than a decade, joysticks have served the purpose of steering and navigation of autonomous wheelchairs. An alternative gesture-based method, for navigation of wheelchairs by the physically impaired, could very well replace the conventional joystick controls. A prototype system, 'Mudra' (Sanskrit word for gesture), incorporates a gesture capture module, developed for recognition and identification of hand gestures. Mudra is a no-nonsense user-friendly system that enables control of the navigational platform, merely by four gestures of the human hand. This paper presents a comprehensive report on implementation of Mudra system's hardware and software, performance analysis and safety evaluation. Verification tests of the conceptual design show promising results, where 97.8% of the hand gestures were recognized accurately. Furthermore, the response timings of wheelchairs with Mudra controls were noticeably faster than the joystick-based wheelchairs, as affirmed by live testing with wheelchair-users. Pursuant to the positive feedback from the wheelchair-user experience, we conclude that Mudra's gesture controlled wheelchairs would be preferable alternative to joystick controlled wheelchairs.
Differential MicroRNA Landscape Triggered by Estrogens in Cancer Associated Fibroblasts (CAFs) of Primary and Metastatic Breast Tumors

Cancer associated fibroblasts (CAFs) play a main role in breast cancer progression and metastasis. Estrogens modulate in breast CAFs the expression of microRNAs (miRNAs) that are involved in the development of many tumors. In order to provide novel insights on the regulation of miRNAs by estrogens in breast cancer, we analyzed the expression of 754 miRNAs in CAFs obtained from primary mammary tumors and CAFs derived from a cutaneous breast cancer metastasis. Using the TaqMan™ Human MicroRNA Array, we found that 17β-estradiol (E2) modulates numerous peculiar and common miRNAs in CAFs derived from primary and the metastatic malignancies. In particular, we assessed that E2 modulates 133 miRNAs (41 up and 92 downregulated) in CAFs derived from primary breast tumors, whereas E2 modulates 415 miRNAs (399 up and 16 downregulated) in CAFs derived from a cutaneous metastasis of breast carcinoma. Therefore, a number of miRNAs three times higher in metastatic CAFs with respect to primary breast CAFs was found modulated by E2. Our findings shed new light on the cumulative regulation of miRNAs by E2 in the main players of the tumor microenvironment as CAFs. Moreover, our data may be taken into consideration that is useful toward innovative prognostic and therapeutic approaches in breast cancer progression.
The Effect of Social Interaction to the Tendency of Food Innovativeness: Evidence from West Java

The strong dependence upon rice staple food and decreasing of paddy land areas in Indonesia will cause the country to face the staple food scarcity. The model of extension to change the eating pattern is inevitable. For such purpose, the research explored social interaction – mutual understanding, partnership, family relationship and communication – between cassava consumers with surrounding community, the effect of social interaction to the food innovativeness. Based on Slovin formula with 5% of error probability and adopting the stratified random sampling technique, the research sample is 182 people. Data collecting was conducted during May-July 2018 by close questionnaire in Likert scale. The multiple regression analysis indicated the strongly significant effect of communication and family relationship as well as the significant effect of partnership to the tendency of food innovativeness.
Contribution of ERMES subunits to mature peroxisome abundance

Eukaryotic organelles share different components and establish physical contacts to communicate throughout the cell. One of the best-recognized examples of such interplay is the metabolic cooperation and crosstalk between mitochondria and peroxisomes, both organelles being functionally and physically connected and linked to the endoplasmic reticulum (ER). In Saccharomyces cerevisiae, mitochondria are linked to the ER by the ERMES complex that facilitates inter-organelle calcium and phospholipid exchanges. Recently, peroxisome-mitochondria contact sites (PerMit) have been reported and among Permit tethers, one component of the ERMES complex (Mdm34) was shown to interact with the peroxin Pex11, suggesting that the ERMES complex or part of it may be involved in two membrane contact sites (ER-mitochondria and peroxisome- mitochondria). This opens the possibility of exchanges between these three membrane compartments. Here, we investigated in details the role of each ERMES subunit on peroxisome abundance. First, we confirmed previous studies from other groups showing that absence of Mdm10 or Mdm12 leads to an increased number of mature peroxisomes. Secondly, we showed that this is not simply due to respiratory function defect, mitochondrial DNA (mtDNA) loss or mitochondrial network alteration. Finally, we present evidence that the contribution of ERMES subunits Mdm10 and Mdm12 to peroxisome number involves two different mechanisms.
Role of Mediator in Examining the Influence of Antecedents of Mobile Wallet Adoption on Attitude and Intention

The purpose of this article is to explore the mediating role of perceived usefulness, trust and attitude on a user’s intention towards use of mobile wallets in India. While mediation has been studied by earlier researchers in the context of online commerce, mobile banking, short message service (SMS) banking, mobile money, etc., not many studies exist in the context of mobile wallets. Considering the potential of mobile wallets in India, previous relationships from the theories of technology adoption like technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) were adapted to investigate the determinants of user attitude and intention towards mobile wallet adoption. Based on data from 744 respondents collected through a survey, partial least squares (PLS) structural equation modelling was used to test the research model. Convenience sampling was used to select the respondents. The results revealed that out of the nine paths wherein mediation was examined, in two paths full mediation was found while it was partial in the remaining cases. This study extends research in explaining attitude and intention through multiple mediating relationships. The implications for research and practice and future research directions are discussed.