Miracle-dz/UniFAR-FTUs huggingface dataset:
Age differences in mental health from May through August 2020 among U.S. adults: trajectories and the role of pandemic, lifestyle, and social factors

Abstract Objectives: Using nationally representative data among U.S. adults, we assess age differences in changes in mental health both from 2018 to May 2020 and during the pandemic. We also examine factors explaining age differences in mental health. Methods: We analyzed 2018 General Social Survey data (N = 2,348; age 18–89) and three waves of COVID Response Tracking Study data (N = 2,279; age 20–94) spanning May–August 2020. Outcomes included happiness, loneliness, stress, positive affect, and negative affect. Results: U.S. adults reported greater loneliness and less happiness in May 2020 versus 2018. Only loneliness and negative affect changed significantly from May to August 2020, showing declines. Mental health trajectories did not differ significantly by age. Overall, older adults reported lower loneliness, stress, and negative affect than younger adults during 2020. Older age was associated with two factors linked with better mental health: less likelihood of COVID-19 exposure and greater satisfaction with social activities and relationships. However, none of the factors examined herein explained age differences in mental health. Conclusion: Although mental health trajectories during the pandemic were similar across ages, older adults tended to report better mental health than younger adults. Future research should identify factors that explain age differences in mental health that persisted into 2020.
Estimating colorectal polyp size with a virtual scale endoscope and visual estimation during colonoscopy: Prospective, preliminary comparison of accuracy

The virtual scale endoscope (VSE) is a new endoscope that helps estimate the size of neoplasms in the gastrointestinal tract. We compared the accuracy of polyp size estimation by VSE with that of visual estimation. A dual center prospective study was conducted in two Japanese academic endoscopy units. Ten endoscopists (five trainees and five experts) estimated the size of 20 simulated polyps in four colon phantoms during colonoscopy by two methods: conventional visual estimation and estimation by VSE. The primary endpoint was the relative accuracy in relation to true polyp size according to visual estimation and VSE estimation during colonoscopy. The secondary endpoint was the required time (the time needed to measure in each procedure). The mean values of the primary end‐point were 62.5% for visual estimation and 84.0% for VSE estimation; hence the result differed significantly (95% confidence interval 18.3–24.7; P < 0.001). The mean of required times was significantly longer for estimation by VSE (6.4 min) than that by visual estimation (2.9 min; P < 0.001). The accuracy of colorectal polyp size estimation was superior with VSE than with visual estimation during colonoscopy. In the future, VSE should be evaluated in actual clinical settings, including the time required for size estimation.
Genetic polymorphisms related to muscular strength and flexibility are associated with artistic gymnastic performance in the Japanese population

ABSTRACT This study aimed to examine how genetic polymorphisms related to muscular strength and flexibility influence artistic gymnastic performance in an attempt to identify a novel polymorphism associated with flexibility. In study 1, the passive straight-leg-raise (PSLR) score and aromatase gene CYP19A1 rs936306 polymorphism, a key enzyme for estrogen biosynthesis, were assessed in 278 individuals. In study 2, athletes (281 gymnasts and 1908 other athletes) were asked about their competition level, and gymnasts were assessed using the difficulty score (D-score) for each event. Muscular strength- (ACTN3 R577X rs1815739 and ACE I/D rs4341) and flexibility-related (ESR1 rs2234693 T/C and CYP19A1 rs936306 C/T) genetic polymorphisms were analyzed. In study 1, males with the CYP19A1 CT + TT genotype showed significantly higher PSLR scores than those with the CC genotype. In study 2, male gymnasts with the R allele of ACTN3 R577X showed a correlation with the floor, rings, vault, and total D-scores. In addition, male gymnasts with the C allele of ESR1 T/C and T allele of CYP19A1 C/T polymorphisms were correlated with the pommel horse, parallel bars, horizontal bar, and total D-scores. Furthermore, genotype scores of these three polymorphisms correlated with the total D-scores and competition levels in male gymnasts. In contrast, no such associations were observed in female gymnasts. Our findings suggest that muscular strength- and flexibility-related polymorphisms play important roles in achieving high performance in male artistic gymnastics by specifically influencing the performance of events that require muscular strength and flexibility, respectively. Highlights Estrogen-related CYP19A1 polymorphism is a novel determinant of flexibility in males. Muscular strength- and flexibility-related polymorphisms play important roles in high performance in male artistic gymnastics. Genotypes of ACTN3 R577X, ESR1 rs2234693, and CYP19A1 rs936306 may contribute to training plan optimization and event selection in artistic gymnastics.
The Role of Optical Coherence Tomography and Optical Coherence Tomography Angiography in the Differential Diagnosis of Posterior Uveitis

ABSTRACT Purpose Modalities such as optical coherence tomography (OCT) and OCT angiography (OCTA) have improved the diagnostic utility of fundus imaging in management of uveitis. The purpose of this study is to review role of OCT and OCTA in differential diagnosis of certain posterior uveitic entities. Methods Narrative review. Results In this review, we have comprehensively summarized the utility of OCT and OCTA in helping the clinician diagnose common but challenging inflammatory conditions including ocular toxoplasmosis, viral retinitis, and vitreoretinal lymphoma, among others. OCT and OCTA can also be used to assess the choriocapillaris involvement in conditions such as multiple evanescent white dot syndrome, and choroidal granulomas in tubercular and sarcoid uveitis. Conclusions Fundus imaging with OCT and OCTA has assumed a significant role in establishing the diagnosis in uveitis apart from microbiological and other laboratory analysis. Advantages such as rapidity and non-invasiveness make these imaging modalities very useful and convenient.
Psychological Impact and Workload of COVID-19 on Healthcare Workers in China During the Early Time of the Pandemic: A Cross-sectional Study

Abstract Objective: This study aimed to investigate the organization, workload, and psychological impact of COVID-19 on healthcare workers from the domestic Medical Aid Teams (MATs) sent to Wuhan in China. Methods: Leaders and members of MATs involved in the care for COVID-19 patients were invited to participate in a study by completing 2 separate self-report questionnaires from April 1 to 24, 2020. Results: A total of 9 MAT leaders were involved and 464 valid questionnaires were collected from 140 doctors and 324 nurses. Mean age of the doctors and nurses were 39.34 ± 6.70 (26∼58 years old) and 31.88 ± 5.29 (21∼52 years old), with 72 (15.5%) being males. Nurses were identified as an independent risk factor (HR 1.898; P = 0.001) for a day working time in the multivariate analysis. The proportions of psychological consulting received among nurses were higher than those among doctors (49.7 vs 30.0%, P < 0.001). More than 50% of the anesthetists and emergency doctors who have received psychological consulting thought that it was effective according to self-evaluation. Conclusions: This study focused on healthcare workers’ situation during the early period of the pandemic. Nurses worked longer than doctors. The effectiveness of psychological consulting depends on the physicians’ specialties and the working conditions of the nurses and psychological consulting targeting different specialties need to be improved.
Regression of Breast Cancer Metastases Following Treatment with Irradiated SV-BR-1-GM, a GM-CSF Overexpressing Breast Cancer Cell Line: Intellectual Property and Immune Markers of Response

Background: SV-BR-1-GM, derived from a patient with grade 2 (moderately differentiated) breast cancer, is a GM-CSF-secreting breast cancer cell line with properties of antigen-presenting cells. SV-BR-1-GM and next-generation versions are covered by several pending and granted patents. Methods: We report findings from an open-label phase I, single-arm pilot study with irradiated SV-BR-1-GM cells in 3 breast and 1 ovarian cancer subjects. Inoculations were preceded by low-dose intravenous cyclophosphamide and followed by interferon-alpha2b injections into the SV-BR-1-GM inoculation sites. We assessed both cellular and humoral immune responses, and measured expression levels of SV-BR-1-GM HLA alleles. Results: Treatment was generally safe and well tolerated. Immune responses were elicited universally. Overall survival was more than 33 months for three of the four patients. As previously reported, one patient had prompt regression of metastases in lung, breast, and soft tissue. Following cessation of treatment, the patient relapsed widely, including in the brain. Upon retreatment, rapid tumor response was again seen, including complete regression of brain metastases. Consistent with a role of Class II HLA in contributing to SV-BR-1-GM’s mechanism of action, this patient allele-matched SV-BR-1-GM at the HLA-DRB1 and HLA-DRB3 loci. We are in the process of developing next-generation SV-BR-1-GM, expressing patient-specific HLAs. Patent applications were filed in various jurisdictions. Thus far, one is granted, in Japan. Conclusion: A whole-cell immunotherapy regimen with SV-BR-1-GM cells induced regression of metastatic breast cancer. We develop intellectual property based on SV-BR-1-GM’s predicted mechanism of action to develop additional whole-cell immunotherapies for cancer patients. Clinical Trial Registration: This clinical trial was registered under ClinicalTrials.gov Identifier NCT00095862.
Shaping the Education of Tomorrow: 2012 Full-length Report on the UN Decade of Education for Sustainable Development

The designations employed and the presentation of material throughout this publication do not imply the expression of any opinion whatsoever on the part of UNESCO concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The author is responsible for the choice and the presentation of the facts contained in this book and for the opinions expressed therein, which are not necessarily those of UNESCO and do not commit the Organization.
Expression profiles of miR3181 and miR199a in plasma and placenta of virally suppressed HIV-1 infected Cameroonian pregnant women at delivery

Human immunodeficiency virus (HIV)-1 infection during pregnancy reduces the transplacental transfer of protective maternal antibodies needed to confer immunity during early postnatal life. However, the mediation of MicroRNA in this dysregulation is not well understood MicroRNAs 3181 and 199a have been shown to mediate neonatal Fc receptor (FcRn)-like transmembrane antibody transfer and endocytosis respectively but their expression levels in the placenta and plasma in women living with HIV have not been extensively investigated. The objective of this study was to determine how the expression levels of miR-3181 and miR-199a in the placenta and plasma are affected in women chronically infected with HIV who are on antiretroviral therapy (ART) and are virally suppressed at delivery. In this pilot case-control study, plasma and placenta biopsies were obtained from 36 (18 HIV+ and 18 HIV-) Cameroonian women at delivery. MicroRNAs 3181 and 199a expression levels were measured using RT-qPCR, data was analyzed using SPSS22.0 and R 3.60, and p values below 0.05 were considered statistically significant. All the HIV-infected women were on known ART regimens and were virally suppressed. There was no significant difference in the levels of miR-3181 (p>0.05) in the placenta and plasma amongst HIV-infected and HIV uninfected women. The expression levels of miR-199a were significantly greater in the plasma compared to the placenta of HIV+ (p = 0.00005) and HIV- (p = 0.027) women. Moreover, there was a significantly higher (p = 0.02) level of miR-199a in the plasma of women with HIV and their uninfected counterparts. Linear regression models adjusted for systolic pressure showed no significant difference (p>0.05) in the levels of miR-199a and miR-3181 in both the placenta and plasma due to HIV infection. Our findings suggest that even though ART uptake and viral suppression might help in maintaining miR3181 and miR199a levels in the placenta of women with HIV at comparative levels to those of their HIV negative counterparts, the significantly higher levels of miR-199a in the plasma of women with HIV compared to the placenta might highlight lurking systemic dangers and requires further investigation.
Flexible non-linear predictive models for large-scale wind turbine diagnostics

We demonstrate how flexible non-linear models can provide accurate and robust predictions on turbine component temperature sensor data using data-driven principles and only a minimum of system modeling. The merits of different model architectures are evaluated using data from a large set of turbines operating under diverse conditions. We then go on to test the predictive models in a diagnostic setting, where the output of the models are used to detect mechanical faults in rotor bearings. Using retrospective data from 22 actual rotor bearing failures, the fault detection performance of the models are quantified using a structured framework that provides the metrics required for evaluating the performance in a fleet wide monitoring setup. It is demonstrated that faults are identified with high accuracy up to 45 days before a warning from the hard-threshold warning system. Copyright © 2016 John Wiley & Sons, Ltd.
Pengujian Kesuksesan Implementasi Sistem Informasi Akuntansi Lembaga Keuangan Mikro: Modified Delone Mcleon Model

This research is motivated by the importance of accounting software in the micro finance institutions led by UPK that has an important role as a catalyst for poverty alleviation. Various data dan field observations indicate that the financial system various LKM UPK has not shown the quality reliable dan relevant system performance, even accounting stdanards has not fully implemented. This study adapted the DeLone dan McLean model that has been modified McGill et al . (2003) to map dan design the essential components of a successful implementation of accounting software for individual users as well as analyzing various system variables on user satisfaction, dan the impact on individual performance. All hypotheses have been tested dan found to result impartial. This model will be the basis for making a prototype web-based accounting softaware that will be developed dan implemented in the second year. So the ultimate goal of this research is that microfinance institutions are able to be an instrument of poverty alleviation optimal sustainability.
A Contribution to the Theory and Measurement of Adlerian Personality Priorities

Abstract:This article presents some advanced psychometric properties of the Spanish version of the Adlerian Personality Priorities Assessment (APPA) together with a study of validity using instruments to measure belongingness, life satisfaction, adult attachment, and a projective technique to assess Adlerian Personality Priorities (the Top Card Activity). The 22-item version of the Spanish APPA showed excellent psychometric properties, and invariance by gender and age; results also confirm and add on to prior studies showing that control is a more adaptive personality priority than superiority, pleasing, and comfort/avoidance. The combination of high control, high pleasing, and low comfort presented the best prediction of belongingness and life satisfaction. We discuss these results from an Adlerian theoretical background and affirm that priorities are both individual goals and unconscious mechanisms that are activated when the individual's condition of belongingness is thwarted.
Eindhoven University of Technology MASTER Urban search and rescue robots the influence of team membership of robots on team performance

Urban search and rescue (USAR) is the first response to disasters. In these difficult conditions robots can play a crucial role by mapping the disaster area and searching for victims. Making those robots more like team members could possibly increase performance (Fong, Thorpe, & Baur, 2003). The general idea behind forming teams is that a team performs better than separate individuals. Klein, Woods, Bradshaw, Hoffman, & Feltovich (2004) defined ten challenges for making robots team players. However, it is not yet investigated that when a robot is made a team player according to these challenges team performance actually increases. Therefore the first part of the research question is: When a robot is made a team player does team performance increase? By making a robot more like a team member other concepts might be influenced as well. The implementation of the ten challenges will probably increase shared situation awareness (SSA) and team identification (TI) and both concepts have been related to performance in previous studies. Therefore, the second part of the research question is: Can the expected increase in performance be explained by increased shared situational awareness or increased team identification? The task for the 38 teams of two persons and two robots was to find six victims in a virtual world as fast as possible and make a useful map for the firemen who would enter the building later on to really save the victims. Participants were randomly assigned to one of the three conditions, ranging from robots as tools to robots as fully functional team members. For this virtual experiment each participant had one screen that displayed the robot’s camera and one screen with the virtual map on it. SSA, TI and performance were measured. The results showed that the level of team membership of the robots had a negative effect on the time needed to find three victims. Possible explanations could be that the use of the advanced system took more time, or that it induced higher workload, or the need to communicate disappeared because of the advanced robots. Furthermore, no evidence was found that SSA and TI could explain performance, however age and game experience did. The main lesson learned from this experiment is that it was really hard to achieve true human-robot collaboration and it could be argued that only humanrobot interaction took place during the task. Furthermore, it is more sensible to let only people who do know each other participate in this kind of team research. And lastly, we advise to include workload in follow-up experiments. Team performance, SSA and team identification C.H. G. Horsch
Performance of different tomato hybrids under greenhouseconditions

A study was conducted during the rabi seasons of 2008-09 and 2009-10 at CCS Haryana Agricultural University, Hisar to evaluate the performance of different tomato hybrids under greenhouse conditions. Nineteen tomato hybrids were planted in the greenhouse having fan and pad cooling system. The two years’ data were pooled. Maximum plant height (302.0 cm) and number of inflorescences per plant (14.4) were recorded in hybrids Yash and C-1601, respectively. Maximum number of fruits per truss (5.8) and minimum days to flowering in 50% plants (79 days) were recorded in hybrid Centurian, whereas individual fruit weight (56 g) and number of fruits per plant (62) were noticed maximum in Avinash-2 and Centurian hybrids, respectively. Early fruit yield (479.3 q/ ha) was noticed maximum in hybrid Centurian, whereas total fruit yield (1287.6 q/ha) was recorded maximum in hybrid Avinash-2 followed by Richa (1278.7 q/ha).
The Neural and Psychological Processes of Peer-Influenced Online Donation Decision: An Event-Related Potential Study

With the rapid development of information and communication technology (ICT), social media-based donation platforms emerged.1 These platforms innovatively demonstrate peer information (e.g., number of donated peers) on the donation page, which inevitably brings the peer influence into donors’ donation decision process. However, how the peer influence will affect the psychological process of donation decisions are remained unknown. This study used the number of donated peers to examine the effects of peer influence on donors’ donation decisions and extracted event-related potential (ERP) from electroencephalographic data to explore the underlying psychological process. The behavioral results indicated that the number of donated peers positively influenced donors’ willingness to donate. The ERP results suggested that a larger number of donated peers might indicate a higher level of conformity and greater perceived emotional rewards, as a larger P2 amplitude was observed. Following the early processing of emotional stimuli, cognitive detection of decisional risk took place, and the donors reckoned a smaller number of donated peers as a high potential risk, which was reflected by a larger N2 amplitude. In the later stage, the larger number of donated peers, which represented a higher magnitude of prospective emotional rewards, led to a higher incentive to donate, and reflected in a larger amplitude of P3. Additionally, implications and future directions were discussed.
Deep Residual Convolutional Neural Networks for Brain–Computer Interface to Visualize Neural Processing of Hand Movements in the Human Brain

Concomitant with the development of deep learning, brain–computer interface (BCI) decoding technology has been rapidly evolving. Convolutional neural networks (CNNs), which are generally used as electroencephalography (EEG) classification models, are often deployed in BCI prototypes to improve the estimation accuracy of a participant's brain activity. However, because most BCI models are trained, validated, and tested via within-subject cross-validation and there is no corresponding generalization model, their applicability to unknown participants is not guaranteed. In this study, to facilitate the generalization of BCI model performance to unknown participants, we trained a model comprising multiple layers of residual CNNs and visualized the reasons for BCI classification to reveal the location and timing of neural activities that contribute to classification. Specifically, to develop a BCI that can distinguish between rest, left-hand movement, and right-hand movement tasks with high accuracy, we created multilayers of CNNs, inserted residual networks into the multilayers, and used a larger dataset than in previous studies. The constructed model was analyzed with gradient-class activation mapping (Grad-CAM). We evaluated the developed model via subject cross-validation and found that it achieved significantly improved accuracy (85.69 ± 1.10%) compared with conventional models or without residual networks. Grad-CAM analysis of the classification of cases in which our model produced correct answers showed localized activity near the premotor cortex. These results confirm the effectiveness of inserting residual networks into CNNs for tuning BCI. Further, they suggest that recording EEG signals over the premotor cortex and some other areas contributes to high classification accuracy.