Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing a safety management system for higher education centers

INTRODUCTION: The system of safety management in higher education centers can prevent the complications caused by harmful issues to students and bring their potential talents closer to perfection. Therefore, this study aimed to design a safety management system (SMS) in higher education centers of Iran in 2016. MATERIALS AND METHODS: This study was a descriptive study of qualitative type. This study was conducted in three independent phases, including (1) evaluating theoretical concepts, (2) developing an initial system by determining the points of sharing and differentiation of the evaluated systems, and (3) validating the SMS using the Delphi technique. Consensus on opinions and identifying similarities and differences of reviewed studies have been used for qualitative data analysis, and the descriptive statistics (sum of scores and mean) by means of SPSS version 21 has been used for quantitative data analysis. RESULTS: In the first stage, 108 indexes were identified by reviewing the studies and evaluating the SMS in the world's educational and noneducational organizations for the 12 main categories of SMS. In the Delphi phase, 83 components were identified as a key index of the SMS in higher education centers of Iran. Furthermore, the average mean of participants’ views on the dimensions of the SMS for higher education centers has been 4.32, with the highest average mean of 4.59 related to the dimension of the facility and the firefighting department and the lowest mean of 4.10 for the student dimension. CONCLUSION: The indexes presented in this study will provide a fairly complete tool for designing SMS in higher education centers, which by applying it will provide a good opportunity to improve the performance of these systems over time.
Towards Opt-Out Permission Policies to Maximize the Use of Automated Driving

Automated driving has the potential to reduce road fatalities. However, the public opinion to use automated driving can be described as skeptical. To increase the use of automated driving features, we investigate the persuasion principle of opt-out permission policies for enabling the automation, meaning automatically enabling the automation if users do not veto. In a driving simulator study (n = 19), participants drove on three different tracks (city, highway, rural). Three different interface concepts (opt-out, opt-in, control) were examined regarding their effects on automation use, trust, and acceptance. We found that an opt-out activation policy may increase automation usage for some participants. However, opt-out was perceived as more persuasive and more patronizing than the other conditions. Most importantly, opt-out can lead to mode confusion and therefore to dangerous situations. When such an opt-out policy is used in an automated vehicle, mode confusion must be addressed.
Talk to me!: exploring stereoscopic 3D anthropomorphic virtual assistants in automated vehicles

Trust in self-driving cars is considered to ensure appropriate usage of such vehicles. Representing the automation system as an anthropomorphic virtual assistant that communicates the system's behavior could help to build and maintain trust. To explore such assistants, a prototype of an anthropomorphic virtual assistant was designed and integrated in a conditionally automated vehicle. In a driving simulator experiment with a between-group design (n = 56), participants experienced either an anthropomorphic 2D or stereoscopic 3D virtual assistant. While driving, distrust towards the automation system was gradually evoked. We analyzed trust and driving behavior. The current study yielded findings that the implementation of stereoscopic 3D impacts overtaking behavior, potentially fosters safety-consciousness and mitigates inappropriate usage of the system. We further report on the design of the virtual assistant.
Diabetes causal attributions among affected and unaffected individuals

Objective The present study aims to describe and compare causal attributions for type 1 diabetes (T1D) and type 2 diabetes (T2D) among affected and unaffected individuals and to investigate the relationships among attributions, attitudes, and beliefs. Research design and methods Adults with no diabetes (N=458), T1D (N=192), or T2D (N=207) completed an online survey. Measures assessed diabetes conceptual knowledge, causal attributions for T1D and T2D, perceived control over diabetes onset, and favorability judgements of individuals affected by each type. Results Results indicate general agreement on causal attributions for T1D and T2D among all respondent groups, with some divergences by disease status. All respondents attributed both T1D and T2D to genetics, and genetic attributions were positively associated with favorability judgements of individuals with T2D, but not those with T1D. Conclusions This report sets the stage for investigations into how and why attributions for T1D and T2D differ and the implications of these differences including stigmatization of individuals with diabetes and diabetes-related self-concept. Additionally, this work can inform efforts towards clinical and public health education to prevent and optimize treatment of T1D and T2D.
Voices in Self-Driving Cars Should be Assertive to More Quickly Grab a Distracted Driver's Attention

Automated driving will mean that people can engage in other activities and an important concern will be how to alert the driver to critical events that require their intervention. This study evaluates how various levels of assertiveness of voice command in a semi-AV and different degrees of immersion of a non-driving task may affect people's attention on the road. In a simulated set-up, 20 participants were required to execute actions on the steering wheel when a voice command was given while playing a mobile game. Regardless of how immersed the driver was in the game, a more assertive voice resulted in faster reaction time to the instructions and was perceived as more urgent than a less assertive voice. Automotive systems should use an assertive voice to effectively grab people's attention. This is effective even when they are engaged in an immersive secondary task.
Primary Cilium, An Unsung Hero in Maintaining Functional β-cell Population

A primary challenge in type 2 diabetes (T2D) is the preservation of a functional population of β-cells, which play a central role in regulating blood glucose levels. Two congenital disorders, Bardet-Biedl syndrome (BBS) and Alström syndrome (ALMS), can serve as useful models to understand how β-cells are normally produced and regenerated. Both are characterized by obesity, loss of β-cells, and defects in primary cilia – the sensory center of cells. Primary cilia are cellular protrusions present in almost every vertebrate cell. This antenna-like organelle plays a crucial role in regulating several signaling pathways that direct proper development, proliferation, and homeostasis. Mutations in genes expressing ciliary proteins or proteins present at or near the base of the cilium lead to disorders, collectively called ciliopathies. BBS and Alström syndrome are such disorders. Though both BBS and Alström patients are obese, their childhood diabetes rates are vastly different, suggesting distinct pathogenesis underlying these two ciliopathies. Clinical studies suggest that BBS patients are protected against early onset diabetes by sustained or enhanced β-cell function. In contrast, Alström patients are more prone to develop diabetes. They have hyperinsulinemia, yet their β-cells fail to sense glucose and to regulate insulin secretion accordingly. These data suggest a potential role for primary cilia in maintaining a functional β-cell population and that defects in cilia or in ciliary proteins impair development and function of β-cells. Identifying the respective roles of primary cilia and ciliary proteins, such as BBS and ALMS1 may shed light on β-cell biology and uncover potentially novel targets for diabetes therapy.
Oxygen therapy in COPD and interstitial lung disease: navigating the knowns and unknowns

Domiciliary oxygen therapy is often prescribed for patients with hypoxaemia due to advanced lung disease, most commonly chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD). Long-term oxygen therapy (LTOT) trials conducted in patients with COPD in the 1980s remain the basis for clinical decisions and guideline recommendations regarding LTOT for patients with non-COPD conditions as there is a lack of high-quality evidence concerning its use in the non-COPD population. There is also a lack of evidence for the use of ambulatory and nocturnal oxygen therapy in patients with isolated exertional and nocturnal hypoxaemia. These deficiencies pose significant challenges in patient care, with consequent discrepancies in guideline recommendations and clinical approaches. In recent years, new studies have been and are currently being conducted to fill the gaps in our understanding and use of domiciliary oxygen therapy for other indications, including ILD. This article provides a comparison of the epidemiology and significance of hypoxaemia in patients with COPD and ILD, with an up-to-date review of current evidence regarding the role of different types of domiciliary oxygen therapy in these conditions. Despite the significance of hypoxaemia in patients with chronic lung diseases, an up-to-date review shows current evidence for clinical use of domiciliary oxygen therapy remains limited http://bit.ly/33aW31n
Patients and Healers in the Context of Culture

A solution to get the problem off, have you found it? Really? What kind of solution do you resolve the problem? From what sources? Well, there are so many questions that we utter every day. No matter how you will get the solution, it will mean better. You can take the reference from some books. And the patients and healers in the context of cult is one book that we really recommend you to read, to get more solutions in solving this problem.
Health-related quality of life in school children: validation of instrument, child self assessment, parent-proxy assessment and school nursing documentation of health check-ups

The aims of this study were to validate an international Health-Related Quality of Life (HRQL) instrument, to describe child self and parent-proxy assessed HRQL at child age 10 to 12 and to compare child self assessments with parent-proxy assessments and school nursing documentation. The study is part of the Schools on the Move – research project. In phase one, a cross-cultural translation and validation process was performed to develop a Finnish version of Pediatric Quality of Life InventoryTM 4.0 (PedsQLTM 4.0). The process included a two-way translation, cognitive interviews (children n=7, parents n=5) and a survey (children n=1097, parents n=999). In phase two, baseline and follow-up surveys (children n=986, parents n=710) were conducted to describe and compare the child self and parent-proxy assessed HRQL in school children between the ages 10 and 12. Phase three included two separate data, school nurse documented patient records (children n=270) and a survey (children n=986). The relation between child self assessed HRQL and school nursing documentation was evaluated. Validity and reliability of the Finnish version of PedsQLTM 4.0 was good (Child Self Report α=0.91, Parent-Proxy Report α=0.88). Children reported lower HRQL scores at the emotional (mean 76/80) than the physical (mean 85/89) health domains and significantly lower scores at the age of 10 than 12 (dMean=4, p=<0.001). Agreement between child self and parent-proxy assessment was fragile (r=0,4, p=<0.001) but increased as the child grew from age 10 to 12 years. At health check-ups, school nurses documented frequently children’s physical health, such as growth (97%) and posture (98/99%) but seldom emotional issues, such as mood (2/7%). The PedsQLTM 4.0 is a valid instrument to assess HRQL in Finnish school children although future research is recommended. Children’s emotional wellbeing needs future attention. HRQL scores increase during ages between childhood and adolescence. Concordance between child self and parent-proxy assessed HRQL is low. School nursing documentation, related to child health check-ups, is not in line with child self assessed HRQL and emotional issues need more attention.
Tuna robotics: A high-frequency experimental platform exploring the performance space of swimming fishes

The Tunabot, a tuna-like experimental robotic platform, provides insights into the dynamics of high-performance aquatic locomotion. Tuna and related scombrid fishes are high-performance swimmers that often operate at high frequencies, especially during behaviors such as escaping from predators or catching prey. This contrasts with most fish-like robotic systems that typically operate at low frequencies (< 2 hertz). To explore the high-frequency fish swimming performance space, we designed and tested a new platform based on yellowfin tuna (Thunnus albacares) and Atlantic mackerel (Scomber scombrus). Body kinematics, speed, and power were measured at increasing tail beat frequencies to quantify swimming performance and to study flow fields generated by the tail. Experimental analyses of freely swimming tuna and mackerel allow comparison with the tuna-like robotic system. The Tunabot (255 millimeters long) can achieve a maximum tail beat frequency of 15 hertz, which corresponds to a swimming speed of 4.0 body lengths per second. Comparison of midline kinematics between scombrid fish and the Tunabot shows good agreement over a wide range of frequencies, with the biggest discrepancy occurring at the caudal fin, primarily due to the rigid propulsor used in the robotic model. As frequency increases, cost of transport (COT) follows a fish-like U-shaped response with a minimum at ~1.6 body lengths per second. The Tunabot has a range of ~9.1 kilometers if it swims at 0.4 meter per second or ~4.2 kilometers at 1.0 meter per second, assuming a 10–watt-hour battery pack. These results highlight the capabilities of high-frequency biological swimming and lay the foundation to explore a fish-like performance space for bio-inspired underwater vehicles.
Structural basis for client recognition and activity of Hsp40 chaperones

Catch and release Chaperones are essential for proper protein folding inside cells, but their interactions with client proteins are difficult to study because they are dynamic. Jiang et al. used nuclear magnetic resonance spectroscopy to look at how the chaperones Hsp70 and Hsp40 work together in the client binding and release cycle. Hsp40 alters the folding properties of the client protein, perhaps unfolding a non-native state, by binding dynamically through multiple binding sites. Hsp70 binding to Hsp40 displaces the unfolded client. The released protein may either fold to its native state, or be rebound for another chaperone cycle. Science, this issue p. 1313 The structure of an Hsp40 in complex with an unfolded protein shows how Hsp40 exerts its activity in concert with Hsp70. Hsp70 and Hsp40 chaperones work synergistically in a wide range of biological processes including protein synthesis, membrane translocation, and folding. We used nuclear magnetic resonance spectroscopy to determine the solution structure and dynamic features of an Hsp40 in complex with an unfolded client protein. Atomic structures of the various binding sites in the client complexed to the binding domains of the Hsp40 reveal the recognition pattern. Hsp40 engages the client in a highly dynamic fashion using a multivalent binding mechanism that alters the folding properties of the client. Different Hsp40 family members have different numbers of client-binding sites with distinct sequence selectivity, providing additional mechanisms for activity regulation and function modification. Hsp70 binding to Hsp40 displaces the unfolded client. The activity of Hsp40 is altered in its complex with Hsp70, further regulating client binding and release.
TSV-IaS: Analytic Analysis and Low-Cost Non-Preemptive on-Line Detection and Correction Method for TSV Defects

Through-Silicon-Via (TSV) is one of the most promising technologies to realize 3D Integrated Circuits (3D-ICs); however, the reliability issues due to the low yield rates and the sensitivity to thermal hotspots and stress issues are threating TSV-based 3D-ICs. On the other hand, real-time applications demand short response time to the new occurrence faults which make online testing become a critical challenge. In order to solve this problem, this paper presents an online method named TSV-IaS which supports detecting and correcting open and short defect TSVs by isolating and shifting the signals of TSVs then analyzing the output syndromes. Furthermore, we also present an analytical analysis on detectability and response time of the proposal. Results show that with R redundant TSVs in a group, the proposed method can fully correct R defects and detect R+1 defects while keeping a low-cost structure. Monte-Carlo simulations also demonstrate a 100% detection rate with 32-cycles based tests.
Regression Analysis With Differential Privacy Preserving

In the field of data mining, protecting sensitive data from being leaked is part of the focuses of current research. As a strict and provable definition of privacy model, differential privacy provides an excellent solution to the problem of privacy leakage. Numerous methods have been suggested to enforce differential privacy in various data mining tasks, such as regression analysis. However, existing solutions for regression analysis is less than satisfactory since the amount of noise added is excessive. What’s worse, the adversary can launch model inversion attacks to infer sensitive information with the published regression model. Motivated by this, we propose a differential privacy budget allocation model. We optimize the regression model by adjusting the privacy budget allocation within the objective function. Extensive evaluation results show the superiority of the proposed model in terms of noise reduction, model inversion attack proof, and the trade-off between privacy protection and data utility.
Effects of Information and Communication Technology Usage by Individuals, Businesses, and Government on Human Development: An International Analysis

The effects of information and communication technology (ICT) on development have been studied primarily from the perspective of their contributions to a country’s economic growth. However, ICT can offer individuals much more than just monetary income—it can improve many aspects of their quality of life. In fact, according to the human development paradigm, income is only one resource that helps individuals to satisfy their economic needs. Using the capabilities approach as a theoretical framework, this study applied data panel technique to a sample of 145 countries to investigate how the use and adoption of ICT, by individuals, enterprises, and governments, affects human development, as measured by the Social Progress Index and Human Development Index (HDI). The results show that regardless of a country’s level of development, the individual use of ICT has a positive impact on human development; especially on the dimensions measured by HDI (having a long and healthy life, being knowledgeable, and having a decent standard of living). Furthermore, the use of ICTs for commercial purposes has a positive impact on human development at the global level, but if we make the analysis considering only developed countries, the relationship of this variable with human development is no longer significant. Regarding the impact of government use of ICT on human development, it has been verified that it is significant on developed countries. This study can be used as a tool by policymakers, especially in developing countries, to reinforce their intentions to support the use and implementation of ICTs.
Family Group Conferencing: New Directions in Community-Centered Child and Family Practice

Critics of empowerment models have charged that families who become the subjects of child abuse investigations are too dysfunctional to contribute in a meaningful way to making decisions about how to protect the children in their own families. Apart from its usefulness as a reference manual, this book shows that family members have, in fact, worked together with mandated authorities to find lasting solutions for problems associated with keeping children safe. It also presents current information on related approaches, such as community conferences, circles, and wrap-around services used in child and family welfare settings of various kinds. Such approaches entail a shift in assumptions about the way child welfare services are planned and delivered, away from models that emphasize pathology and toward those in which an ecological understanding of the families and social networks involved in grappling with the problems is sought.
Secrecy Rate Analysis of Opportunistic User Scheduling in Uplink Networks With Potential Eavesdroppers

In this paper, we investigate two user scheduling algorithms (optimal user and threshold-based user scheduling algorithms) when we consider potential eavesdroppers in an uplink wiretap network. The optimal user scheduling (OUS) algorithm selects the user who has the maximum secrecy rate, based on channel feedback from all users. On the other hand, the threshold-based user scheduling (TUS) algorithm first considers the information leakage from the users to potential eavesdroppers and then selects the user among candidates who satisfy a threshold criterion on the information leakage. The OUS algorithm shows an optimal performance in terms of secrecy rate, but the TUS algorithm can achieve secrecy rate comparable with the OUS algorithm with reduced feedback overhead. For main contributions, we mathematically analyze the asymptotic behavior of the achievable secrecy rate of two scheduling algorithms when the signal-to-noise ratio (SNR) approaches to infinity. Further, we derive the approximated secrecy rate of the TUS algorithm and propose criteria to determine threshold values which maximize the achievable secrecy rate of the TUS algorithm. We verify our analytical results through simulations. We perform an extra simulation to investigate the effect of channel estimation error in the wiretap links on the average secrecy rate. Due to different scheduling principles in OUS and TUS schemes, the TUS scheme yields robustness against the channel estimation error in the wiretap links, compared with the OUS schemes.
A Vector-Based Classification Approach for Remaining Time Prediction in Business Processes

In this paper, we deal with one of the current challenges in process mining enhancement: the prediction of remaining times in business processes. Accurate predictions of the remaining time, defined as the required time for an instance process to finish, are critical in many systems for organizations being able to establish a priori requirements, for optimal management of resources or for improving the quality of the services organizations provide. Our approach consists of i) extracting and assessing a number of features on the business logs, that provide a structural characterization of the traces; ii) extending the well-known annotated transition system (ATS) model to include these features; iii) proposing a partitioning strategy for the lists of features associated to each state in the extended ATS; and iv) applying a linear regression technique to each partition for predicting the remaining time of new traces. Extensive experimentation using eight attributes and ten real-life datasets show that the proposed approach outperforms in terms of mean absolute error and accuracy all the other approaches in state of the art, which includes ATS-based, non-ATS based as well as Deep Learning-based approaches.