Miracle-dz/UniFAR-FTUs huggingface dataset:
Complex PTSD in survivors of intimate partner violence: risk factors related to symptoms and diagnoses

ABSTRACT Background: In 2018, the World Health Organization proposed a new diagnosis entitled Complex Posttraumatic Stress Disorder (CPTSD) in the ICD-11. It is a diagnosis that encompasses the classic symptoms of PTSD, along with symptoms of disturbances in self-organization (DSO). Although this disorder has been studied in several countries and populations, research on the population of women survivors of intimate partner violence (IPV) is scarce. Objectives: 1) To analyse the prevalence of CPTSD and PTSD according to ICD-11 criteria; 2) To analyse the associations between CPTSD symptomatology and severity of violence, level of fear, resilience and strategies of emotion regulation; 3) To analyse which risk factors (severity of violence, level of fear, resilience and strategies of emotion regulation) may differ between female survivors with CPTSD or PTSD. Method: 162 women IPV survivors who completed a socio-demographic and violence-related interview, as well as questionnaires to assess PTSD and CPTSD, severity of violence, resilience and emotion regulation strategies. Results: The results showed a higher prevalence of CPTSD (39.50%), compared to PTSD (17.90%). Moreover, a high level of fear was related to re-experiencing in the here and now, avoidance, current sense of threat and disturbances in relationships. Low levels of resilience and maladaptive emotion regulation strategies such as expressive suppression were related to affective dysregulation, negative self-concept and disturbances in relationships. Finally, the results showed that maladaptive emotion regulation strategies differentiated between meeting CPTSD and PTSD criteria in women survivors of IPV. Conclusion: The findings of this study indicated that CPTSD was twice as prevalent as PTSD within the sample. Moreover, maladaptive emotion regulation strategy as expressive suppression was the main variable related to experiencing CPTSD, in contrast to PTSD. These findings may have important implications for the design of specific treatments aimed at women survivors of IPV, who also suffer CPTSD. HIGHLIGHTS This study provides information on CPTSD according to ICD-11 in women survivors of IPV. Results show a higher prevalence of women survivors that meet CPTSD, over PTSD criteria. Low level of resilience and expressive suppression are related to DSO symptoms.
Computation and stability analysis for regularized tomographic reconstructions

Deals mainly with the assessment of the stability of various reconstruction methods for computed tomography. The authors also present the convex dual formulation of the optimization problems in entropy-like methods. For each of these methods, the influence of errors in the measured data on the reconstructed image is analyzed. A small perturbation of the data vector induces a perturbation of the reconstructed image which can be computed by means of the sensitivity matrix. Using appropriate matrix computation techniques, an upper bound on the size of the reconstruction error is determined, as well as the pattern of noise in the sinogram that will result in the largest reconstruction error and the standard deviation map in the reconstructed image domain. Simulations illustrate the authors' analysis and demonstrate its utility in the interpretation of computed images and in the selection of reconstruction parameters.
A proposed model of TQM implementation based on an empirical study of Malaysian industry

This paper is based on an empirical study of TQM implementation in the Malaysian industrial context. The main focus of the study was to identify quality factors for effective TQM implementation, which are critical for TQM to flourish in Malaysian industries, and to understand the dynamics of TQM implementation in a Malaysian context. The paper presents the outcomes from this research in the form of an implementation framework, constructed through the use of practical guidelines, the key steps of which have been validated and supported empirically.
Dose-Response of Paraxanthine on Cognitive Function: A Double Blind, Placebo Controlled, Crossover Trial

Paraxanthine (PXN) is a metabolite of caffeine that has recently been reported to enhance cognition at a dose of 200 mg. Objective: To determine the acute and short-term (7-day) effects of varying doses of PXN on cognitive function and side effects. Methods: In a double blind, placebo-controlled, crossover, and counterbalanced manner, 12 healthy male and female volunteers (22.7 ± 4 years, 165 ± 7 cm, 66.5 ± 11 kg, 24.4 ± 3 kg/m2) ingested 200 mg of a placebo (PLA), 50 mg of PXN (ENFINITY™, Ingenious Ingredients, L.P.) + 150 mg PLA, 100 mg PXN + 100 mg PLA, or 200 mg of PXN. With each treatment experiment, participants completed side effect questionnaires and donated a fasting blood sample. Participants then performed a series of tests assessing cognition, executive function, memory, and reaction time. Participants then ingested one capsule of PLA or PXN treatments. Participants then completed side effects and cognitive function tests after 1, 2, 3, 4, 5, and 6 h of treatment ingestion. Participants continued ingesting one dose of the assigned treatment daily for 6-days and returned to the lab on day 7 to donate a fasting blood sample, assess side effects, and perform cognitive function tests. Participants repeated the experiment while ingesting remaining treatments in a counterbalanced manner after at least a 7-day washout period until all treatments were assessed. Results: The Sternberg Task Test (STT) 4-Letter Length Present Reaction Time tended to differ among groups (p = 0.06). Assessment of mean changes from baseline with 95% CI’s revealed several significant differences among treatments in Berg-Wisconsin Card Sorting Correct Responses, Preservative Errors (PEBL), and Preservative Errors (PAR Rules). There was also evidence of significant differences among treatments in the Go/No-Go Task tests in Mean Accuracy as well as several time points of increasing complexity among STT variables. Finally, there was evidence from Psychomotor Vigilance Task Test assessment that response time improved over the series of 20 trials assessed as well as during the 6-h experiment in the PXN treatment. Acute and short-term benefits compared to PLA were seen with each dose studied but more consistent effects appeared to be at 100 mg and 200 mg doses. No significant differences were observed among treatments in clinical chemistry panels or the frequency or severity of reported side effects. Results provide evidence that acute ingestion of 100 mg and 200 mg of PXN may affect some measures of cognition, memory, reasoning, and response time as well as help sustain attention. Additionally, that acute and daily ingestion of PXN for 7 days is not associated with any clinically significant side effects. Conclusions: PXN may serve as an effective nootropic agent at doses as low as 50 mg.
Antecedents of Islamic Organizational Citizenship Behavior Toward Job Performance

This study aims to investigate the development model and explore the relationship between Islamic organizational citizenship behavior based on organizational identification, person-organization fit, and job satisfaction towards job performance in Islamic finance in Indonesia. Specifically, this study argues that Islamic organizational citizenship behavior moderates the relationship between organizational identification, person-organization fit, and job satisfaction with job performance. Employees of Islamic finance in Indonesia were selected as the main targets of this study. Two hundred ninety questionnaires were distributed among employees of Islamic finance in Indonesia. Two hundred forty-six valid responses was received (response rate is 84.8%). After analyzing data from 246 employees of Islamic finance in Indonesia, empirical testing shows that the personorganization fit influences the Islamic organizational citizenship behavior and has a strong correlation. However, organizational identification and job satisfaction do not affect Islamic organizational citizenship behavior. The main finding of this study is that Islamic organizational citizenship behavior has a positive relationship with the job performance of Islamic finance in Indonesia.
Elementary Teachers’ Verbal Support of Engineering Integration in an Interdisciplinary Project

Despite national emphasis on authentic science, technology, engineering, mathematics, and computer science (STEM+CS) projects in classrooms, research continues to demonstrate opportunity gaps in learning STEM+CS for students with disabilities. This study investigates how teachers verbally support students in two differently tracked classrooms to engage in engineering lessons that integrate science and computer science. Specifically, this study explores how the same elementary teachers both implicitly and explicitly support students across two classroom contexts, one class section with a larger proportion of students who were tracked into accelerated mathematics and another class section with a larger proportion of students with individualized educational plans (IEPs). Transcripts of whole-class discussion were analyzed for interdisciplinary instructional moves in which teachers verbally supported the integration of disciplines to help students to engage in interdisciplinary activities. Findings reveal that all of the interdisciplinary instructional moves were implicit for the class section with a large proportion of students in advanced mathematics while most were explicit for the class section with students with IEPs, and that most of the interdisciplinary instructional moves were added by the teachers rather than planned in the curriculum materials. Most commonly, teachers added interdisciplinary instructional moves between computer science and engineering. Implications of this study include recommendations for support that teachers need to engage in the important, but challenging, work of integrating science and computer science practices through engineering lessons within elementary science classrooms. This study adds to a growing understanding of equitable learning opportunities in interdisciplinary learning through engineering for elementary students.
Applying lean thinking to improve the production process of a traditional medium-size British manufacturing company

A well-organised implementation of lean manufacturing strategy will lead to excellent operations system and continuous improvement through the removal of non-value-added activities. This case study uses value-stream-mapping to investigate non-value-added activities, simply show how lean manufacturing implementation can intelligibility result a framework of improvement. The implementation and improvements will be depicted in the area of lead time, cycle time and quality by applying lean concepts like circle-shape on production line, 5S and Kaizen team on the shop floor of a British medium-size company.
A Safe and Rapidly Switchable Stiffness Hydrostatic Actuator through Valve-controlled Air Springs

Hydrostatic transmission has shown promising results for enabling the manipulator to achieve low effective inertia, high stiffness, and high torque density. However, the incompressibility of fluid causes the lack of compliance, so that it could not provide intrinsic safety. Thus, it would be advantageous to introduce series compliance on the hydrostatic manipulator for adjusting stiffness depending on the situation. Here, we developed a safe and high-performance hydrostatic actuator based on the switchable stiffness mechanism implemented with an air spring and solenoid valve. The hydrostatic transmission is implemented with rolling diaphragms to attain zero fluid leakage and low seal friction. Air spring is serially connected to hydraulic lines for achieving compliance. Its modes (i.e., stiff and compliant modes) can be rapidly switched by modulating water flow via the solenoid valve. Block stiffness experiment shows that the stiffness of stiff mode is 9.63 times stiffer than one of compliant mode at 100 kPa. We experimentally demonstrated that compliant mode could mitigate the impact force to the level that a tangerine would not be crushed. The stiffness was switched within 12 ms; hence it is fast enough to be used for feedback application with vision or tactile sensors. As a result, the developed actuator can ensure safety without sacrificing the dynamic performance, owing to the simple and rapidly switchable stiffness mechanism.
Smart fabric sensors and e-textile technologies: a review

This paper provides a review of recent developments in the rapidly changing and advancing field of smart fabric sensor and electronic textile technologies. It summarizes the basic principles and approaches employed when building fabric sensors as well as the most commonly used materials and techniques used in electronic textiles. This paper shows that sensing functionality can be created by intrinsic and extrinsic modifications to textile substrates depending on the level of integration into the fabric platform. The current work demonstrates that fabric sensors can be tailored to measure force, pressure, chemicals, humidity and temperature variations. Materials, connectors, fabric circuits, interconnects, encapsulation and fabrication methods associated with fabric technologies prove to be customizable and versatile but less robust than their conventional electronics counterparts. The findings of this survey suggest that a complete smart fabric system is possible through the integration of the different types of textile based functional elements. This work intends to be a starting point for standardization of smart fabric sensing techniques and e-textile fabrication methods.
Rent-A-Cycle (Smart Bicycle Sharing Service-IOT Based)

Bicycle Renting Service or sharing service is about renting a cycle. Bicycle sharing schemes offer a minimal effort and ecologically helpful mean of transportation for short journeys. It can likewise be utilized as a shared mode to other open travel, for example, transports, neighborhood trains. Bicycle sharing systems unite the benefits of open and private transportation to all the more likely adventure the given transportation foundation. This paper high point smart bicycle sharing service which is totally accessed by android application. This research paper also states facts and figures that bicycle sharing services are environmentally friendly and also great for an individual health. The main scope of this bicycle renting schemes is to implement it to reduce environmental pollution and for health purposes. This scheme is smart bicycle renting scheme in which GPS tracking, QR scanning, online payment, automatic locking/unlocking through android application, and all features on just one android application. This scheme also has admin website where all the information of user and bikes are stored also history of bikes, payment and rides for security purpose. From a distinctive individual's perspective, bicycle share systems take out the burden of bicycle proprietorship, the need to look for parking places, and the dread of burglary. It helps in decreasing rush hour jam clog as number of vehicles on street can be fundamentally reduced.
Complicating Acute Myocardial Infarction. Current Status and Unresolved Targets for Subsequent Research

Mechanical reperfusion with primary angioplasty, as the treatment of choice in acute myocardial infarction (MI), is associated not only with a high percentage of full epicardial and tissue reperfusion but also with a very good immediate and long-term clinical outcome. However, the Achilles heel of MI treatment is its ensemble of complications, such as cardiogenic shock due to severe systolic and/or diastolic dysfunction or MI mechanical complications, including perforation of the left ventricular free wall, papillary muscle rupture with acute mitral regurgitation and ventricular septal rupture. They are associated with an increased or, sometimes, with an extremely high mortality rate, determining the overall mortality in an MI patient population. In this review we summarize the mechanisms of MI complications, current therapeutic management and alternative directions for overcoming their devastating consequences. Moreover, we have sought to indicate gaps in the evidence on current treatments as the potential targets for further clinical research. From the perspective of mortality trends that are not improving, the forthcoming therapeutic management of complicated MI will require an individualized and novel approach based on their thorough pathobiology.
Video Clips as a Data Source for Safety Performance

Improved safety is an important goal, but there is difficulty in gathering data and identifying practices that lessen the margin of patient safety in real dynamic complex medical workplaces. Video clips as data are a rich source to examine safety performance. Video clips have utility for participants to review their activities and for analysts to extract quantitative data. Focusing video data collection around brief, risky but beneficial tasks, to illustrate patterns of use that occur in Trauma Centers during patients' resuscitation, can simplify participation consent, confidentiality and data analysis problems. However such video clip acquisition (5–15 minute duration) does not appear to compromise the quality of the content, that can facilitate identification of team performance, communication, ergonomic, and systems factors affecting patient safety. Comparisons of task performance under two levels of task urgency was particularly revealing of areas where patient safety performance can be improved and allowed identification of preventive strategies to minimize the effects of safety infractions.
Development of a Phantom Limb Pain Model in Rats: Behavioral and Histochemical Evaluation

Therapeutic strategies targeting phantom limb pain (PLP) provide inadequate pain relief; therefore, a robust and clinically relevant animal model is necessary. Animal models of PLP are based on a deafferentation injury followed by autotomy behavior. Clinical studies have shown that the presence of pre-amputation pain increases the risk of developing PLP. In the current study, we used Sprague-Dawley male rats with formalin injections or constriction nerve injury at different sites or time points prior to axotomy to mimic clinical scenarios of pre-amputation inflammatory and neuropathic pain. Animals were scored daily for PLP autotomy behaviors, and several pain-related biomarkers were evaluated to discover possible underlying pathological changes. Majority displayed some degree of autotomy behavior following axotomy. Injury prior to axotomy led to more severe PLP behavior compared to animals without preceding injury. Autotomy behaviors were more directed toward the pretreatment insult origin, suggestive of pain memory. Increased levels of IL-1β in cerebrospinal fluid and enhanced microglial responses and the expression of NaV1.7 were observed in animals displaying more severe PLP outcomes. Decreased expression of GAD65/67 was consistent with greater PLP behavior. This study provides a preclinical basis for future understanding and treatment development in the management of PLP.
Learning Cooperative Multi-Agent Policies With Partial Reward Decoupling

One of the preeminent obstacles to scaling multi-agent reinforcement learning to large numbers of agents is assigning credit to individual agents’ actions. In this letter, we address this credit assignment problem with an approach that we call partial reward decoupling (PRD), which attempts to decompose large cooperative multi-agent RL problems into decoupled subproblems involving subsets of agents, thereby simplifying credit assignment. We empirically demonstrate that decomposing the RL problem using PRD in an actor-critic algorithm results in lower variance policy gradient estimates, which improves data efficiency, learning stability, and asymptotic performance across a wide array of multi-agent RL tasks, compared to various other actor-critic approaches. Additionally, we relate our approach to counterfactual multi-agent policy gradient (COMA), a state-of-the-art MARL algorithm, and empirically show that our approach outperforms COMA by making better use of information in agents’ reward streams, and by enabling recent advances in advantage estimation to be used.
A Taxonomy of Operational Cyber Security Risks Version 2

Abstract : This report presents a taxonomy of operational cyber security risks that attempts to identify and organize the sources of operational cyber security risk into four classes: (1) actions of people, (2) systems and technology failures, (3) failed internal processes, and (4) external events. Each class is broken down into subclasses, which are described by their elements. This report discusses the harmonization of the taxonomy with other risk and security activities, particularly those described by the Federal Information Security Management Act (FISMA), the National Institute of Standards and Technology (NIST) Special Publications, and the CERT Operationally Critical Threat, Asset, and Vulnerability EvaluationSM (OCTAVE) method.
Leader-Follower Synchronization of a Network of Boundary-Controlled Parabolic Equations With In-Domain Coupling

In this letter, we study the leader-synchronization problem for a class of partial differential equations with boundary control and in-domain coupling. We describe the problem in an abstract formulation and we specialize it to a network of parabolic partial differential equations. We consider a setting in which a subset of the followers is connected to the leader through a boundary control, while interconnections among the followers are enforced by distributed in-domain couplings. Sufficient conditions in the form of matrix inequalities for the selection of the control parameters enforcing exponential synchronization are given. Numerical simulations illustrate and corroborate the theoretical findings.
Estimating the Center of Mass of Human-Exoskeleton Systems with Physically Coupled Serial Chain

Estimating the center of mass (CoM) is essential for both gait planning and controlling of lower limb exoskeletons. Different from CoM estimation in human and humanoid robots, a critical issue in human-exoskeleton systems pis how to describe the effect of physical human-exoskeleton interactions in estimating the CoM of lower limb exoskeletons. This paper presents a novel center of mass estimation method Physically Coupled Serial Chain (PCSC) for human-coupled lower limb exoskeleton systems. Different from traditional serial chain methods, the proposed PCSC involves physical human-exoskeleton models to describe physical interactions between the pilot and the lower limb exoskeleton. We demonstrated the effectiveness of proposed PCSC model in the AIDER lower limb exoskeleton system. Experimental results indicate that the proposed PCSC model is more accuracy than traditional serial chain methods.
Improved Dexel Representation: A 3-D CNN Geometry Descriptor for Manufacturing CAD

In this article, we present a novel 3-D descriptor, improved dexel representation (IDR), which assists to input holistic information from an engineering computer-aided design (CAD) model to convolutional neural network (CNN) based manufacturing applications. The IDR carries the model’s position, size, and surface information, which not only provides high resolution to small-scale local (machining) features, but also has the potential to reconstruct the original CAD model. Data conversion algorithms between IDR and other CAD models (mesh and NURBS model) are efficient. CNNs with IDR input can largely improve the prediction accuracy compared to other 3-D descriptors, which reaches 98.8% in the modified machining-process-identifier dataset and 100% on the FeatureNet style 3-class dataset. IDR benefits both the manufacturing industry and other CAD-related deep learning applications in engineering fields.