Miracle-dz/UniFAR-FTUs huggingface dataset:
A Tutorial in Bayesian Potential Outcomes Mediation Analysis

Statistical mediation analysis is used to investigate intermediate variables in the relation between independent and dependent variables. Causal interpretation of mediation analyses is challenging because randomization of subjects to levels of the independent variable does not rule out the possibility of unmeasured confounders of the mediator to outcome relation. Furthermore, commonly used frequentist methods for mediation analysis compute the probability of the data given the null hypothesis, which is not the probability of a hypothesis given the data as in Bayesian analysis. Under certain assumptions, applying the potential outcomes framework to mediation analysis allows for the computation of causal effects, and statistical mediation in the Bayesian framework gives indirect effects probabilistic interpretations. This tutorial combines causal inference and Bayesian methods for mediation analysis so the indirect and direct effects have both causal and probabilistic interpretations. Steps in Bayesian causal mediation analysis are shown in the application to an empirical example.
Oxygen therapy in ST-elevation myocardial infarction

Aims To determine whether supplemental oxygen in patients with ST-elevation myocardial infarction (STEMI) impacts on procedure-related and clinical outcomes. Methods and results The DETermination of the role of Oxygen in suspected Acute Myocardial Infarction (DETO2X-AMI) trial randomized patients with suspected myocardial infarction (MI) to receive oxygen at 6 L/min for 6-12 h or ambient air. In this pre-specified analysis, we included only STEMI patients who underwent percutaneous coronary intervention (PCI). In total, 2807 patients were included, 1361 assigned to receive oxygen, and 1446 assigned to ambient air. The pre-specified primary composite endpoint of all-cause death, rehospitalization with MI, cardiogenic shock, or stent thrombosis at 1 year occurred in 6.3% (86 of 1361) of patients allocated to oxygen compared to 7.5% (108 of 1446) allocated to ambient air [hazard ratio (HR) 0.85, 95% confidence interval (95% CI) 0.64-1.13; P = 0.27]. There was no difference in the rate of death from any cause (HR 0.86, 95% CI 0.61-1.22; P = 0.41), rate of rehospitalization for MI (HR 0.92, 95% CI 0.57-1.48; P = 0.73), rehospitalization for cardiogenic shock (HR 1.05, 95% CI 0.21-5.22; P = 0.95), or stent thrombosis (HR 1.27, 95% CI 0.46-3.51; P = 0.64). The primary composite endpoint was consistent across all subgroups, as well as at different time points, such as during hospital stay, at 30 days and the total duration of follow-up up to 1356 days. Conclusions Routine use of supplemental oxygen in normoxemic patients with STEMI undergoing primary PCI did not significantly affect 1-year all-cause death, rehospitalization with MI, cardiogenic shock, or stent thrombosis.
Prevalence of depression and anxiety among children in rural and suburban areas of Eastern Uttar Pradesh: A cross-sectional study

Background: Psychiatric morbidity in children and adolescents is a major concern as they become more complex and intense with children's transition into adolescence. Aim: The aim of this study is to assess and compare the prevalence of depression and anxiety among children residing in rural and suburban area of eastern Uttar Pradesh and understand the burden of these problems in our society. Materials and Methods: Children, in the age group 11–18 years, were divided into 2 groups: Group I – 100 children from rural area Tikri; Group II – 100 children from suburban area Sunderpur. Their sociodemographic details were recorded. Children's Depression Inventory and Revised Children's Manifest Anxiety Scale were used to screen for depression and anxiety in children, respectively. The final diagnosis was done using present state examination in accordance with International Classification of Mental and Behavioral Disorders 10. Data were statistically analyzed using Chi-square test. Results: The prevalence of depression was found to be 14.5% while that of anxiety disorder was found to be 15%. There was no significant difference in the prevalence of depression or anxiety in rural and suburban areas (P > 0.05). Depression and anxiety were more prevalent in middle adolescence, in females, and in lower-middle socioeconomic group. Depression was more prevalent in the students of class 9th –12th, whereas anxiety was more in students of lower classes. Depression was more prevalent in joint families. These differences show some important trends regarding factors affecting these problems. Conclusion: This study yields useful information which could be of use in early management of psychiatric disorders present in the community and prevent their development into chronic disorders.
Work ability of aging teachers in Bulgaria.

OBJECTIVES The work ability of aging teachers is of special interest because of high risk of stress. The aim of the study was to follow the work ability of aging teachers and compare it with that of aging non-teacher professionals. MATERIAL AND METHODS The study included 424 teachers of age ≤ 44 years old (N = 140) and ≥ 45 years old (N = 284), with about 10% male teachers in both age groups, matched by sex and age with non-teacher professionals. Work ability was assessed by means of the Work Ability Index (WAI). Chi2 tests and regression analyses were used for studying WAI scales ratings, diagnosed by physician diseases and WAI ratings. RESULTS Our data shows comparatively high work ability for both age groups of teachers but WAI of aging teachers was significantly lower in comparison to their younger colleagues as well as aging non-teacher professionals. About 80% of aging groups reported diseases diagnosed by physicians. Cardiovascular, musculoskeletal and respiratory diseases were the most frequently reported by aging teachers, while teachers ≤ 44 years old reported respiratory, cardiovascular, neurological and sensory diseases. With aging significantly higher rates of arterial hypertension, diabetes, injury to hearing and mental disorders were reported by teachers as compared to aging non-teacher professionals. The rates of reported repeated infections of respiratory tracts were high in both age groups of teachers, especially in the group of aging teachers. The estimated work ability impairment due to the disease showed the significant effect of aging for teachers as well as the significant difference when comparing aging teachers and non-teacher professionals. CONCLUSIONS Our data shows high work ability for both age groups of teachers but significantly lower for aging teachers accompanied with higher rates of psychosomatic diseases, including hearing impairment and respiratory diseases. Preservation of teacher health could contribute to maintenance of their work ability and retention in the labor market. Int J Occup Med Environ Health 2018;31(5):593-602.
The differences of individual spatial strategy on their solving performance

Spatial ability has numerous definitions such as the ability to perceive and perform manipulation on perception accurately. While majority of researches in this area have been focusing on the development of the training materials despite a concern of human factor as their cognitive strategy for solving spatial problems. Thus, the purpose of this study is to investigate the differences of individual spatial strategy on their spatial solving performance. Two-hundred-eighty-seven first-year Thai engineering student participated in this study. The results revealed the validity of individual spatial strategy and showed that people with analytic spatial strategy had the significantly lower performance in spatial solving than those with holistic and intermediate strategy. This study has the implication on the training process and materials that suit with the thought process of people to enhance the effectiveness and efficiency of the training. Discussion and future work were provided.
Anthropometric and Physical Performance of Youth Handball Players: The Role of the Relative Age

Background: The relative age effect is essential throughout all of the talent selection processes in sports, especially during adolescence, which leaves fewer athletes within each cohort that are born late in the selected year. The aim of the present study was to examine the role of relative age in anthropometric and physical performance characteristics of youth handball players by gender. Methods: The sample that was selected included 47 participants (male n = 23, female n = 24). The data collection included anthropometric, body compositions parameters, and physical performance levels. Results: There was a significantly higher representation of players in the first semester in comparison with the second semester, for all of the gender groups, except for the selected male players. In males, statistically significant differences were found in height, sitting height, weight, wingspan, arm and leg circumferences, and in throws speed (in support and in suspension) between those players that were born in the first and second semester. Conclusion: The results confirmed an effect of relative age in the players born in 2002 that were selected to participate in the Spanish Championship, which was different for males and females. In spite of this effect, which only appeared in females, significant differences in the anthropometric and physical conditions appeared in the male players.
Random depthwise signed convolutional neural networks

Random weights in convolutional neural networks have shown promising results in previous studies yet remain below par compared to trained networks on image benchmarks. We explore depthwise convolutional neural networks with thousands of random filters in each layer, the sign activation function in between layers, and training performed only at the last layer with a linear support vector machine. We show that our network attains higher accuracies than previous random networks and is comparable to trained large networks on large images from the STL10 and ImageNet benchmarks. Since our network lacks a gradient due to the sign activation it is not possible to produce gradient-based adversarial examples targeting it. We show that our network is also less affected by gradient based adversarial examples produced from state of the art networks that considerably hamper their performance. As a possible explanation for our network's accuracy with random weights we show that the the margin of the linear support vector machine is larger on our final representation compared to the original dataset and increases with the number of random filters. Our network is simple and fast to train and predict, attains high classification accuracy particularly on large images, is hard to attack with adversarial examples, and is less affected by gradient based adversarial examples compared to state of the art networks.
Audit of emergency obstetric referrals from a secondary level hospital in Haryana, North India

Background: The maternal mortality ratio in India is high. An effective emergency obstetric care (EmOC) strategy has been identified as a priority to reduce maternal deaths. Since the capacity of different levels of public health facilities to provide EmOC is varied, an effective referral system is crucial. However, few studies have evaluated the functioning and quality of referral systems in India. A systematic monitoring of referrals helps to identify current gaps in the provision of essential obstetric care. Objective: This study was conducted to identify the medical and logistic reasons for emergency obstetric referrals from a subdistrict hospital (SDH). Methods: An audit of emergency referrals during the period January 2015–December 2015 was carried out. Records of all obstetric patients referred from the maternity ward during the study period were reviewed. Results: The referral rate was found to be 31.7%. Preterm labor (30.6%), pregnancy-induced hypertension (17%), and fetal distress (10.6%) were the main reasons for referral. Deficiencies were found in critical determinants of functionality, that is, nonavailability of emergency cesarean, neonatal care unit, and blood bank. Conclusions: The referral rate at the SDH was high. Lack of workforce and infrastructural facilities led to referrals of women who ought to have been managed at this level of the hospital.
The Test-Retest Reliability of New Generation Power Indices of Wingate All-Out Test

Although reliability correlations of traditional power indices of the Wingate test have been well documented, no study has analyzed new generation power indices based on milliseconds obtained from a Peak Bike. The purpose of this study was to investigate the retest reliability of new generation power indices. Thirty-two well-trained male athletes who were specialized in basketball, football, tennis, or track and field volunteered to take part in the study (age: 24.3 ± 2.2 years; body mass: 77 ± 8.3 kg; height: 180.3 ± 6.3 cm). Participants performed two Wingate all-out sessions on two separate days. Intra-class correlation coefficient (ICC), standard error measurement (SEM), smallest real differences (SRD) and coefficient of variation (CV) scores were analyzed based on the test and retest data. Reliability results of traditional power indices calculated based on 5-s means such as peak power, average power, power drop, and fatigue index ratio were similar with the previous findings in literature (ICC ≥ 0.94; CV ≤ 2.8%; SEM ≤ 12.28; SRD% ≤ 7.7%). New generation power indices such as peak power, average power, lowest power, power drop, fatigue index, power decline, maximum speed as rpm, and amount of total energy expenditure demonstrated high reliability (ICC ≥ 0.94; CV ≤ 4.3%; SEM ≤ 10.36; SRD% ≤ 8.8%). Time to peak power, time at maximum speed, and power at maximum speed showed a moderate level of reliability (ICC ≥ 0.73; CV ≤ 8.9%; SEM ≤ 63.01; SRD% ≤ 22.4%). The results of this study indicate that reliability correlations and SRD% of new generation power and fatigue-related indices are similar with traditional 5-s means. However, new time-related indices are very sensitive and moderately reliable.
Aggregates of Monotonic Step Response Systems: A Structural Classification

Complex dynamical networks can often be analyzed as the interconnection of subsystems: This allows us to considerably simplify the model and better understand the global behavior. Some biological networks can be conveniently analyzed as aggregates of monotone subsystems. Yet, monotonicity is a strong requirement; it relies on the knowledge of the state representation and imposes a severe restriction on the Jacobian (which must be a Metzler matrix). Systems with a monotonic step response (MSR), which include input–output monotone systems as a special case, are a broader class and still have interesting features. The property of having a monotonically increasing step response (or, equivalently, in the linear case, a positive impulse response) can be evinced from experimental data, without an explicit model of the system. We consider networks that can be decomposed as aggregates of MSR subsystems and we provide a structural (parameter-free) classification of oscillatory and multistationary behaviors. The classification is based on the exclusive or concurrent presence of negative and positive cycles in the system aggregate graph, whose nodes are the MSR subsystems. The result is analogous to our earlier classification for aggregates of monotone subsystems. Models of biomolecular networks are discussed to demonstrate the applicability of our classification, which helps build synthetic biomolecular circuits that, by design, are well suited to exhibit the desired dynamics.
Energy Expenditure Differs between Black and White Americans: Implications for Obesity Prevention Research

Objective: To assess differences in energy expenditure by race and ethnicity using nationally representative data. Results: We confirmed that Blacks exhibit lower resting energy expenditure than Whites—a difference of approximately 150 to 300 fewer kilocalories per day. This finding was significant in each permutation of our analysis—from the simple association of race and resting energy expenditure to our final regression model adjusted for common confounders (i.e. age, gender, income, and education), body fat content, diabetes, thyroid dysfunction, and weight loss in previous year. Further, we found that energy intake did not differ significantly between Blacks and Whites whereas Blacks were found to expend significantly more energy voluntarily than Whites. Blacks and Whites did not differ significantly in bodyweight, though Blacks were found to be leaner than Whites as evidenced by significantly lower body fat content in the former. Discussion: Our findings suggest that if rates of obesity are to be reduced in Black Americans, recommendations would need to encourage lower levels of average energy intake and higher levels of activity energy expenditure than extant in the general populace. In short, Blacks would need to adopt more austere lifestyle regimens relative to the general populace in order to reduce their rate of obesity below present levels.
Randomized trial of iReadMore word reading training and brain stimulation in central alexia

Woodhead et al. present results from a randomized trial of a novel reading therapy app (‘iReadMore’) coupled with anodal transcranial direct current stimulation (tDCS) in patients with post-stroke central alexia. Use of iReadMore improves reading accuracy for trained words, while concurrent tDCS facilitates training and improves generalization to untrained stimuli.
Degradation Mechanisms of GaN HEMTs With p-Type Gate Under Forward Gate Bias Overstress

This paper investigates the degradation of GaN-based HEMTs with p-type gate submitted to positive gate bias stress. Based on combined electrical and optical testing, we demonstrate the existence of different degradation processes, depending on the applied stress voltage <inline-formula> <tex-math notation="LaTeX">${V}_{\textsf {Gstress}}$ </tex-math></inline-formula>: 1) for <inline-formula> <tex-math notation="LaTeX">${V}_{\textsf {Gstress}}< \textsf {7}$ </tex-math></inline-formula> V, no significant degradation is observed, thus demonstrating a good stability of the analyzed technology; 2) for 7 V <inline-formula> <tex-math notation="LaTeX">$< {V}_{\textsf {Gstress}} <\textsf {11.5}$ </tex-math></inline-formula> V, a negative shift in threshold voltage (<inline-formula> <tex-math notation="LaTeX">${V}_{\textsf {th}}$ </tex-math></inline-formula>) is observed, well correlated with a decrease in the gate leakage current and of the luminescence signal associated with hole injection. The negative <inline-formula> <tex-math notation="LaTeX">${V}_{\textsf {th}}$ </tex-math></inline-formula> shift is ascribed to the trapping of holes in the AlGaN and/or p-GaN/AlGaN interface; and 3) for <inline-formula> <tex-math notation="LaTeX">${V}_{\textsf {Gstress}} \ge \textsf {12}$ </tex-math></inline-formula> V, threshold voltage recovers its initial value. This is ascribed to a net-negative charge, generated either by the trapping of electrons injected from the 2-D electron gas to the AlGaN or to the de-trapping of the holes injected in 2). The results described within this paper provide relevant information for understanding the degradation dynamics of normally off GaN transistors submitted to extremely high gate voltage levels far beyond maximum use.
Better patients’ treatment experiences are associated with better postoperative results in Dupuytren’s disease

This prospective study investigates the extent to which a better experience with healthcare delivery is associated with better postoperative treatment outcomes after surgery for Dupuytren’s contracture. Patients undergoing limited fasciectomy or percutaneous needle fasciotomy for Dupuytren’s contractures completed the Michigan Hand Outcomes Questionnaire before and 3 months after surgery, together with a patient reported experience measure, while hand therapists assessed the straightness of the finger with a goniometer. Regression analyses were used to examine associations. We found that a better experience with healthcare delivery was associated with better patient-reported outcomes, while association with residual extension deficit was minimal. Strongest associations were seen with communication of the physician, postoperative care and information about the treatment. Experience with the treatment explained up to 12% of the variance in treatment outcome. These findings suggest that patient reported treatment outcomes in Dupuytren’s disease can be improved by improving the treatment context. Level of evidence: II
Practical Fault Attack on Deep Neural Networks

As deep learning systems are widely adopted in safety- and security-critical applications, such as autonomous vehicles, banking systems, etc., malicious faults and attacks become a tremendous concern, which potentially could lead to catastrophic consequences. In this paper, we initiate the first study of leveraging physical fault injection attacks on Deep Neural Networks (DNNs), by using laser injection technique on embedded systems. In particular, our exploratory study targets four widely used activation functions in DNNs development, that are the general main building block of DNNs that creates non-linear behaviors -- ReLu, softmax, sigmoid, and tanh. Our results show that by targeting these functions, it is possible to achieve a misclassification by injecting faults into the hidden layer of the network. Such result can have practical implications for real-world applications, where faults can be introduced by simpler means (such as altering the supply voltage).
Signal Progression Model for Long Arterial: Intersection Grouping and Coordination

Signal progression has been proven as an effective way to improve the operational efficiency of traffic signals at local arterial corridors. Conventional two-way progression models have shown their promising in providing desirable green bandwidth to two-way through traffic along the arterial. However, they may not offer an effective progression plan when a long arterial contains many intersections. Under such condition, it is critical to divide the arterial corridor into a set of subgroups for progression design. Since progression effectiveness is significantly impacted by the way an arterial is decomposed, conducting arterial decomposition as a separated step may keep the result from optimality. To tackle this issue, a novel progressive model is developed to concurrently determine the arterial decomposition strategy and optimize the resulting signal progression plan within each subgroup. With an integrated control objective function, the proposed model can minimize the required number of subgroups while satisfying the operational need (i.e., a minimum bandwidth is required). Also, the proposed model is formulated with a mixed-integer-linear-programming technique that can guarantee a global optimal solution. A numerical example on a field arterial which consists of 15 signalized intersections has verified the effectiveness of the proposed model.