Miracle-dz/UniFAR-FTUs huggingface dataset:
The relationship among HFACS levels and analysis of human factors in unmanned and manned air vehicles

THE RELATIONSHIP AMONG HFACS LEVELS AND ANALYSIS OF HUMAN FACTORS IN UNMANNED AND MANNED AIR VEHICLES Veysel Yesilbas Old Dominion University, 2014 Director: Dr. T. Steven Cotter This dissertation analyzes the structural relationships among the Human Factors Accident Classification System levels for unmanned air vehicle and manned air vehicle accidents and the common relationships between unmanned air vehicle and manned air vehicle accident causes. The study acquired DOD HFACS accident classification data from 347 United States Air Force Class A accident reports for the years between 2000 and 2013. The dissertation utilized a set o f analysis that is considered to contribute substantially to the respective domain of the study. The correlations found among categorical levels were applied to HFACS taxonomy based on the Reason Model via path analysis structural equation modeling. The study concluded the presence of statistically significant paths at both UAV and MAV accidents and common partial paths of those aircraft types within the framework of DOD HFACS taxonomy. The study also suggests that accident data can be utilized to test and improve the failure model o f an organization through identification of significant effects such as technology and structural changes in
Human behavior in a staircase during a total evacuation drill in a high‐rise building

Many studies have been conducted on the evacuation behavior on the staircases of buildings, but very little data are available for a situation with many occupants in a crowded high‐rise building. Therefore, this study investigated the evacuation behavior of a large number of evacuees on the staircase of a 25‐story high‐rise building. A total evacuation drill was conducted with 2088 evacuees, and the behavior of 1136 evacuees on the landings of the south staircase was recorded by a video recorder on the ceiling. The relationship between the density and speed of the evacuees on the landings was analyzed from the evacuation data for two situations: without and with merging in the stair flow. The evacuation stair flow in this drill had merging occupants entering from the floors, but no one entered from the lower floors during the latter period of the drill. Therefore, the flow during the latter period was treated as non‐merging flow, for which it was observed that, when the staircase was fully crowded, the density on the landings in the moving situation was different from that in the stopped situation. Moreover, the density on the landings was different from that on the treads. Furthermore, in the merging flow, a merging ratio of approximately 50:50 occurred during the congested evacuation. Copyright © 2016 John Wiley & Sons, Ltd.
Methylglyoxal Impairs Sister Chromatid Separation in Lymphocytes

The accurate segregation of sister chromatids is complex, and errors that arise throughout this process can drive chromosomal instability and tumorigenesis. We recently showed that methylglyoxal (MGO), a glycolytic by-product, can cause chromosome missegregation events in lymphocytes. However, the underlying mechanisms of this were not explored. Therefore, in this study, we utilised shotgun proteomics to identify MGO-modified proteins, and label-free quantitation to measure changes in protein abundance following exposure to MGO. We identified numerous mitotic proteins that were modified by MGO, including those involved in the separation and cohesion of sister chromatids. Furthermore, the protein abundance of Securin, an inhibitor of sister chromatid separation, was increased following treatment with MGO. Cytological examination of chromosome spreads showed MGO prevented sister chromatid separation, which was associated with the formation of complex nuclear anomalies. Therefore, results from this study suggest MGO may drive chromosomal instability by preventing sister chromatid separation.
Do Female Board Members Influence Corporate Social Responsibility Performance?

Caring for the environment has become everyone’s responsibility because of our significant negative impact. Considering this, companies are spending a substantial amount on corporate social responsibility (CSR) activities not only as part of corporate citizenship but also to enhance corporate image. Using a fixed-effect model on 2,260 companies’ annual data from 2012 to 2017, we analyze whether female board members influence CSR performance. The results indicate that the proportion of female board directors (PFBD) in Chinese firms is relatively small compared with the male. In other words, the boards members are predominantly male. The fixed effects model indicates that both the number and proportion of female directors are significant in influencing CSR performance. Surprisingly, we note that the average age of female board directors has a significant and negative impact on CSR performance. The results also indicate that the education level of the female director does play a significant role in CSR performance. This demonstrates that firms need to recruit educated board directors and with a right mix of age.
Integrating Sustainability Grand Challenges and Active, Experiential Learning into Undergraduate Engineering Education

In order to teach to the engineering challenges of our global society we have adopted a modular approach to introduce sustainable engineering concepts to traditional civil engineering curricula. This paper highlights lessons learned from the creation, packaging, and distribution of a module that teaches Restore and Improve Urban Infrastructure, one of the fourteen Grand Challenges of Engineering issued by the National Academy of Engineering (NAE). The Sustainable Metrics (SusMet) module is a hands-on activity that engages students in disassembly of a green product and critically reviews the factors that make the product green through the process of discussion and physical disassembly. The SusMet module was packaged for adoption by a wide range of engineering instructors. The complete module package contains: a summary of learning objectives and module activities, lecture slides and notes, recommended readings, detailed description of the experiential learning activity, an assignment, and a pre-and post-module cognitive assessment. The module package was shared though the developers’ networks and within the last year was placed online for free download on our engineering education website (STEMed.engineering.asu.edu). Since then, the module has spread to several classrooms across the country and has been used into two senior-
The effect of delirium information training given to intensive care nurses on patient care: quasi-experimental study

Background Training programs aiming to improve delirium diagnosis and management skills increase nurses’ care efficiency and improve patients’ health outcomes. This study was conducted to examine the effect of delirium information training on patient care by intensive care nurses. Methods In the research, one group pretest-posttest quasi-experimental design was used. The study sample consisted of 30 nurses working in four intensive care units of a university hospital between November 05, 2018, and February 15, 2019. The Personal Information Form, the Checklist for the Care of the Patient in Delirium, and the Confusion Assessment Scale for the Intensive Care Unit were used to collect the data. Intensive care nurses were provided with information training supported by a training booklet in two sessions of 40 min each. Results In the study, according to the Checklist for the Care of the Patient in Delirium, while the pre-test point average of the nurses was 6.17 ± 2.29, the post-test point average had increased to 11.17 ± 1.51 (p < 0.001). After the training, it was determined that there was a significant increase in the percentage of nurses who stated that they evaluated and detected whether their patients had pain, hallucinations, and delusions (p < 0.001). As a result, it has been determined that providing delirium information training to intensive care nurses positively affects the care of patients with delirium. In addition, it has been determined that with the Confusion Assessment Scale for Intensive Care Unit, nurses can provide the care they need to patients at risk in terms of delirium by identifying delirium.
A Review of Vehicle-to-Vulnerable Road User Collisions on Limited-Access Highways to Support the Development of Automated Vehicle Safety Assessments

: This study aims to provide evidence to support the development of automated vehicle (AV) safety assessments that consider the possible presence of non-motorized vulnerable road-users (VRUs) on limited-access highways. Although limited-access highways are designed to accommodate high-speed motor vehicles, collisions involving VRUs on such roadways are frequently reported. A narrative review is conducted, covering the epidemiology of VRUs crashes on limited-access highways to identify typical crash patterns considering collisions severity and the underlying reasons for the VRUs to use the highway. The review results show that occupants alighting from a disabled or crashed vehicle, people seeking help or helping others, highway maintenance zones, police stops, and people crossing a highway should be given priority to ensure VRU safety on limited-access highways. The results are summarized in ﬁgures with schematic models to generate test scenarios for AV safety assessment. Additionally, the results are discussed using two examples of trafﬁc situations relevant to the potential AV-VRU crashes on highways and the current performance of autonomous emergency braking and autonomous emergency steering systems. These ﬁndings have important implications for producing scenarios in which AV may not produce crashes lest it performs worse than human drivers in the proposed scenarios.
Telemedicine and Its Past, Present, and Future Roles in Providing Palliative Care to Advanced Cancer Patients

Simple Summary The health care delivery model has dramatically changed due to the emergence of the global pandemic coronavirus disease (COVID-19). This can be seen in the innovative adoption of telemedicine in the delivery of palliative care to patients with advanced cancer. We provide an update on the adoption, delivery, benefits, and challenges faced in this model of health care delivery. Abstract The landscape of healthcare delivery has considerably changed due to the emergence of coronavirus disease 2019 (COVID-19). This is nowhere more evident than in the care of advanced cancer patients receiving palliative care. This population is susceptible to the severe complications of COVID-19, and immediate measures had to be taken to ensure their safety. Thus, the adoption of telemedicine as a health care delivery model emerged. This model provides many benefits, such as improved access to care while maintaining social distancing; however, there exist challenges to this model, including health care disparities, reimbursement, and monitoring of opioids in high-risk populations. This narrative review provides an overview of the unique benefits and barriers of telemedicine in palliative care patients.
Latitudinal cline in the foraging dichotomy of loggerhead sea turtles reveals the importance of East China Sea for priority conservation

Quantifying the importance of habitat areas for conservation of highly migratory marine species with complex life histories can be challenging. For example loggerhead turtles (Caretta caretta) nesting in Japan forage both oceanically and neritically after their reproductive period. Here, we aimed to quantify the proportions of turtles using these two contrasting habitats (foraging dichotomy) to suggest priority conservation areas.
HUMANIZATION AND PERCEPTION OF EFFECTIVENESS OF BRAZILIAN HEALTHCARE SYSTEM

Research objective: Identify the factors of humanization that influence the perception of the effectiveness of healthcare services in Brazil by users (patients, companions, and family members) and professionals (doctors, assistants, and any others, directly or indirectly, linked with the provision of services) in the area. Theoretical framework: Six guidelines of the National Humanization Policy (NHP) gave potential rise to constructs that are analyzed under the theoretical lens of the Autopoiesis Theory. Methodology: Data is treated quantitatively from a survey of perceptions with a non-probabilistic sample. Exploratory factor analysis determined eight factors of humanization. Results: The evidence indicated that the factors Professional Attention, Relational Attention, Expanded Clinic, and Valuing Workers' Technical Skills are positively related to the effectiveness of Brazilian healthcare services. Besides, there are differences in the perceptions of users and professionals concerning the effectiveness of humanization in healthcare services. Originality: Based on public policy guidelines, through unprecedented quantitative research, the factors that form the construct of humanization in health services are highlighted. Theoretical and practical contributions: The results contribute to humanization in healthcare services, especially in scenarios of the stress of the health system, which claims for substantive actions in the healthcare services social, technical, and political dimensions.
The role of organizational commitment in mediating the influence of work environment and spiritual motivation on employee performance

This study aimed to develop a conceptual model of the role of organizational commitment in mediating the influence of work environment and spiritual motivation on employee performance. The population was 305 employees of the Islamic Rural Bank Bhakti Sumekar—with a sample of 122 employees. The data were processed using Structural Equation Modeling Partial Least Square (SEM PLS). The findings in this study are that work environment and spiritual motivation have a positive influence on employee performance, organizational commitment plays a mediating role on the influence of work environment and spiritual motivation on employee performance, the most effective pathway in improving employee performance is the mediating pathway of organizational commitment on the influence of spiritual motivation on employee performance.
Comparison of the effectiveness of home visits and telephone follow-up on the self-efficacy of patients having undergone coronary artery bypass graft surgery (CABG) and the burden of their family caregivers: A randomized controlled trial

Abstract Objective. This study aimed to compare home visits and telephone follow-up effectiveness on patients' self-efficacy undergoing Coronary Artery Bypass Graft Surgery -CABG- and caregivers’ burden. Methods. In this randomized clinical trial, 114 patients undergoing CABG were assigned to the three groups of home visits, telephone follow-up, and control based on the stratified block randomization. The self-management program of the home visit group included four face-to-face 60-minute training sessions once a week, and for the telephone follow-up group, four 30-minute telephone counseling sessions twice each week for a month. The control group received routine care. Data were collected using the cardiac rehabilitation self-efficacy questionnaire and the caregiver burden scale before and after the intervention. Results. Before the study, there were no statistically significant differences between the three groups in terms of the means of self-efficacy and caregiver burden scores. However, there was a statistically significant difference between the home visit and control groups (p<0.001) and between the telephone follow-up and control groups (p<0.001) after the intervention, with increased self-efficacy and reduced caregiver burden reported. In contrast, there was no significant difference between the home visit and telephone follow-up groups regarding self-efficacy and caregiver burden scores. Conclusion. Both methods of self-management education have similar effectiveness in increasing self-efficacy and reducing the caregiver burden after discharge for patients who have undergone CABG.
Identification of Secreted Protein Gene-Based SNP Markers Associated with Virulence Phenotypes of Puccinia striiformis f. sp. tritici, the Wheat Stripe Rust Pathogen

Stripe rust caused by Puccinia striiformis f. sp. tritici (Pst) is a destructive disease that occurs throughout the major wheat-growing regions of the world. This pathogen is highly variable due to the capacity of virulent races to undergo rapid changes in order to circumvent resistance in wheat cultivars and genotypes and to adapt to different environments. Intensive efforts have been made to study the genetics of wheat resistance to this disease; however, no known avirulence genes have been molecularly identified in Pst so far. To identify molecular markers for avirulence genes, a Pst panel of 157 selected isolates representing 126 races with diverse virulence spectra was genotyped using 209 secreted protein gene-based single nucleotide polymorphism (SP-SNP) markers via association analysis. Nineteen SP-SNP markers were identified for significant associations with 12 avirulence genes: AvYr1, AvYr6, AvYr7, AvYr9, AvYr10, AvYr24, AvYr27, AvYr32, AvYr43, AvYr44, AvYrSP, and AvYr76. Some SP-SNPs were associated with two or more avirulence genes. These results further confirmed that association analysis in combination with SP-SNP markers is a powerful tool for identifying markers for avirulence genes. This study provides genomic resources for further studies on the cloning of avirulence genes, understanding the mechanisms of host–pathogen interactions, and developing functional markers for tagging specific virulence genes and race groups.
Evaluation of alternate wetting and drying irrigation management in rice

The long-term viability of rice production in the midsouthern USA could be affected by irrigation management strategy. This study was conducted to determine if rice sustainability can be improved through manipulation of the irrigation threshold. The effects of an alternate wetting and drying (AWD) irrigation threshold and cultivar on water applied, rice grain yield, seed quality, irrigation water use efficiency, and net returns were investigated at Stoneville, MS on a Sharkey clay (very fine, smectitic, thermic Chromic Epiaquert). Water applied increased exponentially from 316 mm for the AWD threshold of -40 cm to 1061 mm for the conventional flood. For both hybrid and inbred lines, rice grain yield decreased linearly at a rate of 14 kg ha for each cm decrease in irrigation threshold. Alternate wetting and drying irrigation threshold had no effect on seed quality parameters including chalk, milling total, and milling whole. Net returns decreased in the order $2076 ha for XL753 > $1706 ha for Rex > $1535 ha for CL151; however, net returns were not affected by AWD irrigation threshold. Our analysis of these data indicates that converting from a conventional flood to an AWD irrigation threshold ranging from 0 to -20 cm will likely improve the sustainability of rice production in the
A Novel Multi-Factor Three-Step Feature Selection and Deep Learning Framework for Regional GDP Prediction: Evidence from China

Gross domestic product (GDP) is an important index reflecting the economic development of a region. Accurate GDP prediction of developing regions can provide technical support for sustainable urban development and economic policy formulation. In this paper, a novel multi-factor three-step feature selection and deep learning framework are proposed for regional GDP prediction. The core modeling process is mainly composed of the following three steps: In Step I, the feature crossing algorithm is used to deeply excavate hidden feature information of original datasets and fully extract key information. In Step II, BorutaRF and Q-learning algorithms analyze the deep correlation between extracted features and targets from two different perspectives and determine the features with the highest quality. In Step III, selected features are used as the input of TCN (Temporal convolutional network) to build a GDP prediction model and obtain final prediction results. Based on the experimental analysis of three datasets, the following conclusions can be drawn: (1) The proposed three-stage feature selection method effectively improves the prediction accuracy of TCN by more than 10%. (2) The proposed GDP prediction framework proposed in the paper has achieved better forecasting performance than 14 benchmark models. In addition, the MAPE values of the models are lower than 5% in all cases.
The influence of leadership, reward system and self-efficacy on work engagement of frontline employees at PT. TIKI JNE Jakarta

This study aims to investigate and examine the effect of leadership, reward system development, and self-efficacy on employee work engagement. Around 231 (n = 231) frontline employees of PT TIKI JNE Jakarta, a well-known courier and logistics company participated in this activity. This study found that the path analysis model related to leadership, reward systems, and self-efficacy had a significant effect on the level of employee work engagement. Based on these findings, it can be concluded that every change or variation in employee work engagement is influenced by leadership, reward system, and employee self-efficacy. Thus, the results of this study are expected to provide a positive and significant contribution to the company as a business organization in order to improve company performance in the 4.0 era.
Incremental Adaptive Control of a Class of Nonlinear Nonaffine Systems

As a class of familiar nonlinear systems, nonaffine systems are frequently encountered in practical applications. Currently, in the context of learning control, there is a lack of research results about such general class of nonlinear systems, especially for the case of performing infinite interval tasks. This article focuses on the incremental adaptive control for nonlinear systems in nonaffine form, without requiring periodicity or repeatability. Instead of using the integral adaptation, incremental adaptive mechanisms are developed and the corresponding control schemes are presented, by which the numerical integration for implementation can be avoided. With the proposed incremental adaptation, the implicit function theorem is introduced to solve the intractability problem of the nonaffine structure. The robustness (robust convergence) of the tracking error is characterized, with the aid of a proposed key lemma, while the boundedness of all the variables is examined. Numerical results are presented to verify the effectiveness of the proposed control design.