Miracle-dz/UniFAR-FTUs huggingface dataset:
Students’ Self-Assessment of Modern Making Skills

Many studies have examined the effects of active learning on students’ educational outcomes. For engineers, this often comes in the form of fabricating components for proof-of-concept prototypes of their engineering designs. At Carnegie Mellon University, the general engineering students in the freshmen course Fundamentals of Mechanical Engineering prepare for engineering design projects by receiving training in the modern making skills of CAD software, 3D printing, laser cutting-engraving, power tools, and Arduino. This study analyzed the selfassessment of students’ confidence level to apply these maker skills before and after completing the course. Results showed a significant improvement in students’ self-efficacy for applying these skills after completing the course. Furthermore, a notable number of students expressing doubt in their abilities to complete a particular task with a maker skill had improvements to their self-efficacy upon noting the steps towards successful completion of that task, and expressed confidence in completing an even more complex task.
Wearable Carbon Monoxide Sensors Based on Hybrid Graphene/ZnO Nanocomposites

In this work, wearable resistive gas sensors based on hybrid graphene/zinc oxide (ZnO) nanocomposites were fabricated on a flexible cotton fabric and employed to monitor odorless and colorless carbon monoxide (CO). Dip-coating and chemical bath deposition (CBD) was used to deposit the graphene layer and grow the ZnO nanorods, respectively. The films were characterized by scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), and X-Ray diffraction (XRD) to investigate their morphological structures, elemental composition, and crystal phase, respectively. Those characterizations were also confirming the growth of ZnO nanorods on the already-deposited graphene layer on fabrics. From the gas sensor measurements at room temperature, it was revealed that these graphene/ZnO nanocomposites were highly sensitive and selective towards CO gas at low concentration down to 10 ppm. The shortest response and recovery times of the sensors were measured to be 280 s and 45 s, respectively. Moreover, in comparison to bare graphene sensors, the surface modification by ZnO nanorods could obviously enhance the sensing response by up to 40% (i.e., doubled sensitivity). These flexible hybrid sensors are therefore expected to be a promising alternative for the existing rigid CO sensors in the market by offering unique nanostructures, low-cost fabrication, high flexibility, and good sensing performances.
Geographic access and utilization of HIV tests among black men in Metropolitan Atlanta, Georgia

INTRODUCTION: In 2010, the rate of new HIV infection was seven times higher in Black men than White men in the United States. Black men account for 74% of persons living with HIV/AIDS in Georgia. Twenty percent of persons with HIV are unaware of their infection due to not receiving an HIV test. PURPOSE: To determine what factors influence Black men’s decision to obtain an HIV test in Fulton and DeKalb Counties of Georgia. METHODS: This mixed method study was comprised of three phases. Phase I was an ecological study that examined geographic access to publicly funded free HIV test sites by poverty and census tracts. Phase II was a cross-sectional design that used primary data collection methods to determine whether transit distance (miles) between participant’s home address and the nearest publicly funded free HIV test site was associated with HIV testing in the past 12 months. Phase III was a qualitative study that used interviews to identify factors that affect Black men’s decisions to seek HIV testing. RESULTS: In Phase I, census tracts with high proportions of Black men living below the poverty level had less transit distance to the nearest publicly funded free HIV test site than census tracts with Black men living at and above poverty (p < .01 ). In Phase II, of the 513 Black men, 285 (56%) had received an HIV test in the past 12 months. In a multivariate analysis, for every 1 mile increase in transit distance between a participant’s home address and the nearest publicly funded free HIV test site, Black men were 1% more likely to have an HIV test in the past 12 months (PR: 1.01, p < .05). Phase III revealed that 57% (n=15) of Black men reported that an HIV clinic was the most uncomfortable place to receive an HIV test. CONCLUSION: The most common barriers Black men faced when obtaining an HIV test were (a) judgment, and (b) privacy of test results. This study found that Black men were not utilizing publicly funded free HIV test sites due to the stigma of HIV clinics. INDEX WORDS: HIV testing, Black men, Atlanta, Georgia, distance, barrier GEOGRAPHIC ACCESS AND UTILIZATION OF HIV TESTS AMONG BLACK MEN IN METROPOLITAN ATLANTA, GEORGIA
Experiencing breast cancer in the context of mental illness in New Zealand

ABSTRACT This study aimed to explore the experiences of women with mental illness who had also experienced breast cancer diagnosis and treatment, in particular, to identify barriers and facilitators to cancer treatment. Semi-structured interviews were conducted with ten breast cancer survivors who had had contact with secondary mental health services prior to their cancer diagnosis. Thematic analysis was used to identify key themes. Participants described positive experiences of cancer treatment, expressing surprise at both how well they coped with diagnosis and treatment and how well they were treated by services. Many contrasted this with their less positive experience of mental illness and mental health services. The women interviewed were active participants in their cancer treatment and did not report feeling stigmatised because of their mental health experiences. A lack of connection between cancer and mental health services was described, but this was not regarded as necessarily a bad thing. This study begins to counter the stereotypes of the difficult patient or the person unable to understand and cooperate in their own care which are prevalent in the literature. Further work is needed to understand the reasons for disparities in cancer outcomes.
Fake News Analysis Modeling Using Quote Retweet

Fake news can confuse many people in the area of politics, culture, healthcare, etc. Fake news refers to news containing misleading or fabricated contents that are actually groundless; they are intentionally exaggerated or provide false information. As such, fake news can distort reality and cause social problems, such as self-misdiagnosis of medical issues. Many academic researchers have been collecting data from social and medical media, which are sources of various information flows, and conducting studies to analyse and detect fake news. However, in the case of conventional studies, the features used for analysis are limited, and the consideration for newly added features of social media is lacking. Therefore, this study proposes a fake news analysis modelling method by identifying a variety of features and collecting various data from Twitter, a social media outlet with a good deal of power in terms of spreading information. The method proposed in this study can increase the accuracy of fake news analysis by acquiring more potential information from the Quote Retweet feature added to Twitter in 2015, compared to the more conventional and common Retweet only. Furthermore, fake news was analysed through neural network-based classification modelling by using the preprocessed data and the identified best features in the learning data. In the performance results, using the neural network-based classifier, the classification model that also used Quote Retweet, showed an improvement in performance over the conventional methods, and it was confirmed that the identified best features had a significant impact on increasing the classification accuracy of fake news.
Optimizing Maintenance Policies for a Yaw System Using Reliability-Centered Maintenance and Data-Driven Condition Monitoring

System downtime and unplanned outages massively affect plant productivity; therefore, the reliability, availability, maintainability, and safety (RAMS) disciplines, together with fault diagnosis and condition monitoring (CM), are mandatory in energy applications. This article focuses on the optimization of a maintenance plan for the yaw system used in an onshore wind turbine (WT). A complete reliability-centered maintenance (RCM) procedure is applied to the system to identify which maintenance action is the optimal solution in terms of cost, safety, and availability. The scope of the research is to propose a new customized decision-making diagram inside the RCM assessment to reduce the subjectivity of the procedure proposed in the standard and save the cost by optimizing maintenance decisions, making the projects more cost-efficient and cost-effective. This article concludes by proposing a new diagnostic method based on a data-driven CM system to efficiently monitor the health and detect damages in the WT by means of measurements of critical parameters of the tested system. This article highlights how a reliability analysis, during the early phase of the design, is a very helpful and powerful means to guide the maintenance decision and the data-driven CM.
Mobile-mediated dynamic assessment: A new perspective for second language development

Abstract The present investigation analyses the potential of a pedagogical dynamic assessment (DA) approach to foster second language (L2) development through the use of a mobile instant messaging application. Students’ zone of actual and proximal development is observed through the use of a grammar and vocabulary level test and the use of the WhatsApp application respectively. Sixty students taking a B1 English course at the language centre of a Spanish university were studied. A mixed methods methodology was used to analyse the differences between two pre-existing groups (control and experimental), each consisting of 30 participants. Both groups received the same tuition and content, and students in the experimental group participated in a daily conversation in the application during a five-month period where negative feedback was provided by the teacher through the use of an inventory of prompts, from most implicit to most explicit. Throughout the research, pedagogical mobile-mediated DA became a central part of the students’ learning process, extending learning beyond the in-class time and becoming a constant source of L2 input and feedback. Moreover, results indicated that DA and dialogic mediation helped students reflect on their language performance, gradually requiring less explicit feedback and metalinguistic explanations.
A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems

To promote research on dynamic constrained multiobjective optimization, we first propose a group of generic test problems with challenging characteristics, including different modes of the true Pareto front (e.g., convexity–concavity and connectedness–disconnectedness) and the changing feasible region. Subsequently, motivated by the challenges presented by dynamism and constraints, we design a dynamic constrained multiobjective optimization algorithm with a nondominated solution selection operator, a mating selection strategy, a population selection operator, a change detection method, and a change response strategy. The designed nondominated solution selection operator can obtain a nondominated population with diversity when the environment changes. The mating selection strategy and population selection operator can adaptively handle infeasible solutions. If a change is detected, the proposed change response strategy reuses some portion of the old solutions in combination with randomly generated solutions to reinitialize the population, and a steady-state update method is designed to improve the retained previous solutions. The experimental results show that the proposed test problems can be used to clearly distinguish the performance of algorithms, and that the proposed algorithm is very competitive for solving dynamic constrained multiobjective optimization problems in comparison with state-of-the-art algorithms.
Ionospheric Detection of Natural Hazards

Natural hazards (NH), such as earthquakes, tsunamis, volcanic eruptions, and severe tropospheric weather events, generate acoustic and gravity waves that propagate upward and cause perturbations in the atmosphere and ionosphere. The first NH‐related ionospheric disturbances were detected after the great 1964 Alaskan earthquake by ionosondes and Doppler sounders. Since then, many other observations confirmed the responsiveness of the ionosphere to NH. Within the last two decades, outstanding progress has been made in this area owing to the development of networks of ground‐based dual‐frequency Global Navigation Satellite Systems (GNSS) receivers. The use of GNSS‐sounding has substantially enlarged our knowledge about the solid earth/ocean/atmosphere/ionosphere coupling and NH‐related ionospheric disturbances and their main features. Moreover, recent results have demonstrated that it is possible to localize NH from their ionospheric signatures and also, if/when applicable, to obtain the information about the NH source (i.e., the source location and extension and the source onset time). Although all these results were obtained in retrospective studies, they have opened an exciting possibility for future ionosphere‐based detection and monitoring of NH in near‐real time. This article reviews the recent developments in the area of ionospheric detection of earthquakes, tsunamis, and volcanic eruptions, and it discusses the future perspectives for this novel discipline.
High-resolution computed tomography and magnetic resonance imaging protocols in the diagnosis of fibrotic interstitial lung disease: overview for “non-radiologists”

Fibrotic interstitial lung diseases (ILDs) include a number of pulmonary disorders characterized by infiltration of inflammatory cells in lung parenchyma and fibrosis resulting in decreased lung compliance. Idiopathic pulmonary fibrosis (IPF) represents the most common ILD. ILDs can be divided in two anatomo-pathological and radiographic patterns: usual interstitial pneumonitis (UIP) and non-specific interstitial pneumonitis (NSIP). The different radiological features of UIP and NSIP are discussed. The American Thoracic Society, the European Respiratory Society, the Japanese Respiratory Society, and the Latin American Thoracic Association guidelines for the diagnosis and management of IPF have identified several characteristic high-resolution computed tomography (HRCT) features of UIP. However, even if these guidelines recommend to avoid surgical lung biopsy in case of confident UIP diagnosis on HRCT, they present some limitations, the most important of which is represented by interobserver agreement. Magnetic resonance imaging (MRI) can be considered as a radiation-free alternative to HRCT for several lung diseases. However, the clinical value of MRI for IPF diagnosis remains to be proven. (Sarcoidosis Vasc Diffuse Lung Dis 2017; 34: 300-306)
Mixed convection and stability analysis of stagnation-point boundary layer flow and heat transfer of hybrid nanofluids over a vertical plate

This study aims to study the mixed convection flow and heat transfer of Al2O3-Cu/water hybrid nanofluid over a vertical plate. Governing equations for conservation of mass, momentum and energy for the hybrid nanofluid over a vertical flat plate are introduced. ,The similarity transformation approach is used to transform the set of partial differential equations into a set of non-dimensional ordinary differential equations. Finite-deference with collocation method is used to integrate the governing equations for the velocity and temperature profiles. ,The results show that dual solutions exist for the case of opposing flow over the plate. Linear stability analysis was performed to identify a stable solution. The stability analysis shows that the lower branch of the solution is always unstable, while the upper branch of the solution is always stable. The results of boundary layer analysis are reported for the various volume fractions of composite nanoparticles and mixed convection parameter. The outcomes show that the composition of nanoparticles can notably influence the boundary layer flow and heat transfer profiles. It is also found that the trend of the variation of surface skin friction and heat transfer for each of the dual solution branches can be different. The critical values of the mixed convection parameter, λ, where the dual solution branches joint together, are also under the influence of the composition of hybrid nanoparticles. For instance, assuming a total volume fraction of 5 per cent for the mixture of Al2O3 and Cu nanoparticles, the critical value of mixing parameter of λ changes from −3.1940 to −3.2561 by changing the composition of nanofluids from Al2O3 (5 per cent) + Cu (0%) to Al2O3 (2.5%) + Cu (2.5 per cent). ,The mixed convection stability analysis and heat transfer study of hybrid nanofluids for a stagnation-point boundary layer flow are addressed for the first time. The introduced hybrid nanofluid model and similarity solution are new and of interest in both mathematical and physical points of view.
Global surveillance and control of hepatitis C

Hepatitis C is a global health problem caused by infection with the hepatitis C virus. Although representative prevalence data are not available from many countries, available data indicate that approximately 3% of the world’s population is infected with HCV. It is estimated that as many as 170 million persons worldwide may be infected with HCV. In many countries, the exact magnitude of the problem and the relative contribution of the various routes of transmission have not been defined with population‐based studies. Wherever possible such studies should be performed to enable countries to estimate the burden of hepatitis C disease, to prioritize their preventative measures and to make the most appropriate use of available resources. To assess hepatitis C on a global scale, the World Health Organization (WHO) organized a consultation of international experts, in order to review the public health aspects related to hepatitis C infection and to make recommendations for its prevention and control
A cross-sectional survey of factors associated with the uptake of smoking cessation aids among smokers and ex-smokers

ABSTRACT Background: A cross-sectional survey was conducted in Germany via the online panel PsyWeb with the aim of assessing factors associated with the uptake of smoking cessation aids among smokers and ex-smokers. Methods: Of the 10,000 panel members invited to participate in the survey, 624 took part. Main Outcome Measures: Outcomes were measured via questionnaires to assess the uptake of smoking cessation aids, health literacy, readiness to change smoking behavior, and the Fagerström Test for Nicotine Dependence. Results: There was no association between gender or educational status and use of smoking cessation aids according to chi-square tests of independence. Logistic regression showed that health literacy, degree of tobacco dependence, and readiness to change were significantly associated with the uptake of smoking cessation aids. Smokers with a high degree of nicotine dependence, high readiness to change, and low health literacy were more likely to use aids. Conclusion: The survey results can be used to develop psychological approaches and interventions to promote smoking cessation, e.g., interventions to increase readiness to change among smokers may increase the uptake of aids. Moreover, the results may help to improve patient care by disseminating information on effective aids and thereby promoting smoking cessation among relevant patient groups.
Map Validation for Autonomous Driving Systems

High-definition mapping is fundamental for self-driving vehicles. In this thesis we describe different approaches for online map validation whose goal is to verify if reality and map data are inconsistent. A probabilistic framework to perform the sensor fusion is defined and a spatial correlation is introduced to interpolate the information. The result is a probabilistic representation of the map whose assumed values represent the probability with which the map is valid in every point.
Regulation and clinical significance of O-GlcNAc transferase in cancer

// Xinling Zhang 1 , Yuchao Gu 2 , Wengong Yu 2 and Hui Liang 1 1 The Institute of Human Nutrition, Medical College of Qingdao University, Qingdao 266021, China 2 Key Laboratory of Marine Drugs, Chinese Ministry of Education, Key Laboratory of Glycoscience and Glycotechnology of Shandong Province; School of Medicine and Pharmacy, Ocean University of China, Qingdao 266003, China Correspondence to: Hui Liang, email: ajgqdfy@163.com Xinling Zhang, email: ruoxi_67@163.com Keywords: OGT; O-GlcNAcylation; expression; protein stability; activity Received: June 14, 2017 Accepted: November 03, 2017 Published: January 02, 2018 ABSTRACT O-GlcNAc Transferase (OGT) resides in both cytosolic and nuclear compartments and catalyzes O-GlcNAcylation of myriad proteins. Numerous excellent reviews concerning roles of OGT in organismal and cellular physiology have exist, and aberrant OGT and protein O-GlcNAcylation have been implicated in progression and metastasis of different cancer types. Thus, understanding the regulation mechanisms of OGT and O-GlcNAcylation in tumor cells and their difference compared to non-tumor cells may elucidate new mechanisms related to tumor generation and development, could provide a new marker to diagnosis and prognosis in patients with cancer and indicate a new target to cancer chemotherapy. While it has become evident that OGT plays critical roles in cancers, it remains unclear how they are deregulated. This review provides an overview of our current knowledge about the known/potential regulation of OGT, and also discusses the inhibition of OGT as a potential novel therapeutic target for cancer treatment.