Miracle-dz/UniFAR-FTUs huggingface dataset:
An Extended AI-Experience: Industry 5.0 in Creative Product Innovation

Creativity plays a significant role in competitive product ideation. With the increasing emergence of Virtual Reality (VR) and Artificial Intelligence (AI) technologies, the link between such technologies and product ideation is explored in this research to assist and augment creative scenarios in the engineering field. A bibliographic analysis is performed to review relevant fields and their relationships. This is followed by a review of current challenges in group ideation and state-of-the-art technologies with the aim of addressing them in this study. This knowledge is applied to the transformation of current ideation scenarios into a virtual environment using AI. The aim is to augment designers’ creative experiences, a core value of Industry 5.0 that focuses on human-centricity, social and ecological benefits. For the first time, this research reclaims brainstorming as a challenging and inspiring activity where participants are fully engaged through a combination of AI and VR technologies. This activity is enhanced through three key areas: facilitation, stimulation, and immersion. These areas are integrated through intelligent team moderation, enhanced communication techniques, and access to multi-sensory stimuli during the collaborative creative process, therefore providing a platform for future research into Industry 5.0 and smart product development.
Equity-Informative Economic Evaluations of Vaccines: A Systematic Literature Review

The Immunization Agenda 2030 prioritizes the populations without access to vaccines. Health equity has been increasingly incorporated into economic evaluations of vaccines to foster equitable access. Robust and standardized methods are needed to evaluate the health equity impact of vaccination programs to ensure monitoring and effective addressing of inequities. However, methods currently in place vary and potentially affect the application of findings to inform policy decision-making. We performed a systematic review by searching PubMed, Embase, Econlit, and the CEA Registry up to 15 December 2022 to identify equity-informative economic evaluations of vaccines. Twenty-one studies were included that performed health equity impact analysis to estimate the distributional impact of vaccines, such as deaths averted and financial risk protection, across equity-relevant subgroups. These studies showed that the introduction of vaccines or improved vaccination coverage resulted in fewer deaths and higher financial risk benefits in subpopulations with higher disease burdens and lower vaccination coverage—particularly poorer income groups and those living in rural areas. In conclusion, methods to incorporate equity have been evolving progressively. Vaccination programs can enhance equity if their design and implementation address existing inequities in order to provide equitable vaccination coverage and achieve health equity.
Annual report readability and stock return synchronicity: Evidence from India

Abstract This study investigates the relationship between the comprehensibility of a firm’s annual report and its stock return synchronicity in the Indian market. The study employs the readability of annual reports as a measure for the cost of information processing. The findings suggest that firms with more readable annual reports tend to display higher stock return synchronicity. This relationship implies that more legible financial disclosures are associated with more efficient and transparent capital markets. Additionally, the research discovered that the relationship between readability and stock return synchronicity is particularly pronounced for companies with high institutional investment, high analyst coverage, and lower information asymmetry. The sample size of the study encompasses NSE 500 companies for the period 2015–2016 to 2019–2020.
Influence of the center of pressure on baropodometric gait pattern variations in the adult population with flatfoot: A case-control study

Background: Adult flatfoot is considered an alteration in the foot bone structure characterized by a decrease or collapse of the medial arch during static or dynamic balance in the gait pattern. The aim of our research was to analyze the center of pressure differences between the population with adult flatfoot and the population with normal feet. Methods: A case-control study involving 62 subjects was carried out on 31 adults with bilateral flatfoot and 31 healthy controls. The gait pattern analysis data were collected employing a complete portable baropodometric platform with piezoresistive sensors. Results: Gait pattern analysis showed statistically significant differences in the cases group, revealing lower levels in the left foot loading response of the stance phase in foot contact time (p = 0.016) and contact foot percentage (p = 0.019). Conclusion: The adult population with bilateral flatfoot evidenced higher contact time data in the total stance phase compared to the control group, which seems to be linked to the presence of foot deformity in the adult population.
The Role of Functionalization and Size of Gold Nanoparticles in the Response of MCF-7 Breast Cancer Cells to Ionizing Radiation Comparing 2D and 3D In Vitro Models

Gold nanoparticles (AuNPs), as an agent enhancing radiosensitivity, play a key role in the potential treatment of breast cancer (BC). Assessing and understanding the kinetics of modern drug delivery systems is a crucial element that allows the implementation of AuNPs in clinical treatment. The main objective of the study was to assess the role of the properties of gold nanoparticles in the response of BC cells to ionizing radiation by comparing 2D and 3D models. In this research, four kinds of AuNPs, different in size and PEG length, were used to sensitize cells to ionizing radiation. The in vitro viability, uptake, and reactive oxygen species generation in cells were investigated in a time- and concentration-dependent manner using 2D and 3D models. Next, after the previous incubation with AuNPs, cells were irradiated with 2 Gy. The assessment of the radiation effect in combination with AuNPs was analyzed using the clonogenic assay and γH2AX level. The study highlights the role of the PEG chain in the efficiency of AuNPs in the process of sensitizing cells to ionizing radiation. The results obtained imply that AuNPs are a promising solution for combined treatment with radiotherapy.
AXAF High-Resolution Camera (HRC): calibration and recalibration at XRCF and beyond

The high resolution camera (HRC) is a microchannel plate based imaging detector for the Advanced X-Ray Astrophysics Facility (AXAF) that will be placed in a high earth orbit scheduled for launch in August, 1998. An end-to-end calibration of the HRC and the AXAF high resolution mirror assembly (HRMA) was carried out at the Marshall Space Flight Center's X-Ray Calibration Facility (XRCF). This activity was followed by several modifications to the HRC to improve its performance, and a series of flat field calibrations. In this paper, and the following companion papers, we discuss the calibration plans, sequences, and results of these tests. At the time of this conference, the HRC has been fully flight qualified and is being integrated into the science instrument module (SIM) in preparation for integration into the AXAF spacecraft.
Prevalence of Violence against Providers in Heart and Lung Transplant Programs

Workplace violence in healthcare institutions is becoming more frequent. The objective of this study was to better understand the nature of threat and physical acts of violence from heart and lung transplant patients and families toward healthcare providers and suggest programmatic mitigation strategies. We administered a brief survey to attendees at the 2022 International Society of Heart and Lung Transplantation Conference in Boston, Massachusetts. A total of 108 participants responded. Threats of physical violence were reported by forty-five participants (42%), were more frequently reported by nurses and advanced practice providers than physicians (67% and 75% vs. 34%; p < 0.001) and were more prevalent in the United States than abroad (49% vs. 21%; p = 0.026). Acts of physical violence were reported by one out of every eight providers. Violence against providers in transplant programs warrants closer review by health systems in order to ensure the safety of team members.
Using Lyman-$\alpha$ transits to constrain models of atmospheric escape

Lyman-$\alpha$ transits provide an opportunity to test models of atmospheric escape directly. However, translating observations into constraints on the properties of the escaping atmosphere is challenging. The major reason for this is that the observable parts of the outflow often comes from material outside the planet's Hill sphere, where the interaction between the planetary outflow and circumstellar environment is important. As a result, 3D models are required to match observations. Whilst 3D hydrodynamic simulations are able to match observational features qualitatively, they are too computationally expensive to perform a statistical retrieval of properties of the outflow. Here, we develop a model that determines the trajectory, ionization state and 3D geometry of the outflow as a function of its properties and system parameters. We then couple this model to a ray tracing routine in order to produce synthetic transits. We demonstrate the validity of this approach, reproducing the trajectory of the outflows seen in 3D simulations. We illustrate the use of this model by performing a retrieval on the transit spectrum of GJ 436 b. Our model constrains the sound speed of the outflow $\gtrsim 10 \text{ km s}^{-1}$, indicating that we can rule out core-powered mass loss as the mechanism driving the outflow for this planet. The bound on planetary outflow velocity and mass loss rates are consistent with a photoevaporative wind.
Statistical Review and Evaluation of In Vitro Mutagenicity Study Data

This paper deals with the procedures used in the statistical review and evaluation of in vitro mutagenicity assay data from a regulatory reviewer S perspective. Emphasis is placed on those used in analyzing revertant colony count data from Ames Salmonella/ Microsome mutagenicity assays. Statistical procedures used in analyzing data from other widely employed in vitro mutagenicity assays are also described briefly due to space limitation. Due to uncontrollable factors in the conduct of Salmonella test assays, there is a large plate-to-plate variability in revertant colony count data. The Poisson distribution is judged as not suitable for modeling this variability since in most cases, distributions of such data show that the variance is greater than the mean. The negative binomial distribution is proposed to replace the Poisson distribution for modeling this plate-toplate variabiliw. Two groups of procedures have been proposed to model the dose-response curve of the number of revertant colonies. The first group includes procedures which are based on biological mechanisms of reverse mutation of bacteria from auxotrophic cells to prototrophic cells. Those procedures consider the toxic effect in addition to the mutagenic effect of the test compound to reflect the possible nonmonotonic or downturn phenomenon in revertant count. They also consider the multigeneration phenomenon of the reverse mutation process. The second group consists of empirically-based procedures. Most procedures in this group also include terms for mutagenic and toxic effects of the test compound. The unweighted and weighted least squares, the maximum likelihood method, and the quasi likelihood method are used to estimate the parameters in the dose-response curve. Standard procedures based on normal approximation and the likelihood ratio test are used to test the mutagenic and toxic effects.
Distributed Stochastic Model Predictive Control for a Microscopic Interactive Traffic Model

Stochastic Model Predictive Control (SMPC) has attracted increasing attention for autonomous driving in recent years, since it enables collision-free maneuvers and trajectory planning and can deal with uncertainties in a non-conservative way. Many promising strategies have been proposed on how to use SMPC to select appropriate maneuvers and plan safe trajectories in uncertain environments. The limitation of these approaches is that they focus on scenarios where only one vehicle is controlled by SMPC and is, thus, reacting to the surrounding vehicles; however, the surrounding vehicles do not react to the SMPC-controlled vehicle, which means there is no mutual interaction. However, when multiple autonomous vehicles are driving on the road, each individual vehicle will take the behavior of the other surrounding vehicles into account and adjust its individual decisions accordingly in trajectory planning. This paper, therefore, examines in simulations how the interactive control system of multiple SMPC-controlled vehicles behave based on a Distributed SMPC (DSMPC) framework. For a three-lane highway scenario, we first investigate the effects of the risk parameter of the collision avoidance probabilistic constraint on non-interactive and interactive vehicle systems and provide insights into how to parameterize the controllers in interactive vehicle systems.
Arithmetic Word Problem-Solving and Math Anxiety: The Role of Perceived Difficulty and Gender

ABSTRACT A crucial component of mathematics curriculum in primary education is represented by the ability to solve arithmetic word problems. Previous studies investigated predominantly the cognitive factors underlying this skill, neglecting the role of emotional (e.g. math anxiety – MA) and metacognitive aspects (e.g. perceived difficulty). Some findings suggested that emotional factors could influence perceived task difficulty which would, in turn, impair students’ performance. However, the relation between MA, perceived difficulty, and math problem-solving has not been explored yet. Moreover, although many studies reported gender differences in MA levels, findings involving primary school children are contrasting. Thus, this study aimed to evaluate the role of MA and perceived task difficulty on arithmetic word problem-solving proficiency in a sample of Italian primary school students, and to investigate gender differences in those variables. Results showed that MA had a direct and indirect effect through perceived difficulty on problem-solving performance. Furthermore, findings confirmed that girls exhibited higher MA levels, however no gender difference was observed in problem-solving accuracy nor in perceived difficulty. The study underlines the need to consider emotional factors when investigating children’s difficulties in math problem-solving and highlight the importance of MA interventions, especially for girls, already in primary education.
The Effect of Socio-Cultural Factors on English Language Learning and the Impact on SSCE Results: The Case of Private vs Public Secondary Schools in Kano, Nigeria

This paper investigates the effect of socio-cultural practices on the English Senior School Certificate of Education (SSCE) results in public and private secondary school students in Kano, Nigeria. Using a case study approach, we explore whether socio-cultural practices might have influenced or constrained student performance in English SSCE results. This case study involves ten (10) participants from ten (10) secondary schools. An open-ended questionnaire was administered to all participants; findings revealed that teaching-related facilities in public secondary schools are not sufficiently available, unlike private schools. Furthermore, findings also indicate that the teacher-student ratio in public secondary schools is higher than in private schools. Students’ attitudes towards learning English language, including the use of social media, has also influenced the English SSCE results. Likewise, the schools’ socio-cultural practices affect the students’ performance in English SSCE exams. It is strongly recommended that the recruitment of additional English language teachers in public schools, and the establishment of more public schools aimed at improving the teacher-student ratio be employed. This would likely provide more active and interactive sessions for students, as well teachers. There is also a need to provide sufficient teaching and learning facilities and equipment in public schools, such as chairs, tables, fans, air-conditioning units, textbooks, computers, projectors, and so on. Public-school stakeholders should encourage the use of English language in English classes.
Classical and modern regression with applications

The author emphasizes applications with examples that illustrate nearly all the techniques discussed. Applications have been selected from physical sciences, engineering, biology, management science and economics. Emphasis is also placed on concepts with a blend between illustrations using real data sets and mathematical and conceptual development. Expanded coverage includes: simultaneous influence, maximum likelihood estimation of parameters, and the plotting of residuals, the use of the general linear hypothesis, indicator variables, the geometry of least squares, the relationship to ANOVA models, Box-Cox transformation with illustrations, categorical response, other nonnormal error situations, autocorrelated errors and logistic regression.
Myocardial Inflammation at FDG PET/MRI and Clinical Outcomes in Symptomatic and Asymptomatic Participants after COVID-19 Vaccination

Purpose To evaluate potential cardiac sequelae of COVID-19 vaccination at 2-month follow-up and to relate cardiac symptoms to myocardial tissue changes at fluorodeoxyglucose (FDG) PET/MRI, blood biomarkers, health-related quality of life, and adverse outcomes. Materials and Methods In this prospective study (ClinicalTrials.gov identifier: NCT04967807), a convenience sample of individuals aged 17 years or older were enrolled after COVID-19 vaccination and were categorized as symptomatic myocarditis (new cardiac symptoms within 14 days of vaccination and met diagnostic criteria for acute myocarditis); symptomatic, no myocarditis (new cardiac symptoms but did not meet criteria for myocarditis); and asymptomatic (no new cardiac symptoms). Standardized evaluation was performed 2 months after vaccination, including cardiac fluorine 18–FDG PET/MRI, assessment of blood biomarkers, and health-related quality of life. Statistical analysis included Kruskal-Wallis and Fisher exact tests. Results Fifty-four participants were evaluated a median of 72 days (IQR, 42–91 days) after COVID-19 vaccination: 17 symptomatic with myocarditis (mean age, 36 years ± 15 [SD]; 13 men), 17 symptomatic without myocarditis (mean age, 42 years ± 12; seven men), and 20 asymptomatic (mean age, 45 years ± 14; nine men). No participants in the symptomatic without myocarditis or asymptomatic groups had focal FDG uptake, myocardial edema, or impaired ventricular function. Two participants with symptomatic myocarditis had focal FDG uptake, and three had high T2 mapping values on MR images. Health-related quality of life was lower in the symptomatic myocarditis group than in the asymptomatic group. There were no adverse cardiac events beyond myocarditis in any participant. Conclusion At 2-month follow-up, FDG PET/MRI showed evidence of myocardial inflammation in two of 17 participants diagnosed with acute myocarditis early after COVID-19 vaccination, but not in symptomatic and asymptomatic participants without acute myocarditis. Keywords: Molecular Imaging, MR Imaging, Heart, Inflammation ClinicalTrials.gov identifier: NCT04967807 Supplemental material is available for this article. © RSNA, 2023
Reinventing mental health care in youth through mobile approaches: Current status and future steps

In this perspective, we aim to bring together research on mobile assessments and interventions in the context of mental health care in youth. After the COVID-19 pandemic, one out of five young people is experiencing mental health problems worldwide. New ways to face this burden are now needed. Young people search for low-burden services in terms of costs and time, paired with high flexibility and easy accessibility. Mobile applications meet these principles by providing new ways to inform, monitor, educate, and enable self-help, thus reinventing mental health care in youth. In this perspective, we explore the existing literature reviews on mobile assessments and interventions in youth through data collected passively (e.g., digital phenotyping) and actively (e.g., using Ecological Momentary Assessments—EMAs). The richness of such approaches relies on assessing mental health dynamically by extending beyond the confines of traditional methods and diagnostic criteria, and the integration of sensor data from multiple channels, thus allowing the cross-validation of symptoms through multiple information. However, we also acknowledge the promises and pitfalls of such approaches, including the problem of interpreting small effects combined with different data sources and the real benefits in terms of outcome prediction when compared to gold-standard methods. We also explore a new promising and complementary approach, using chatbots and conversational agents, that encourages interaction while tracing health and providing interventions. Finally, we suggest that it is important to continue to move beyond the ill-being framework by giving more importance to intervention fostering well-being, e.g., using positive psychology.
Electromagnetic analysis of an induction motor with massive disk

In this paper a two-dimensional analytical method for the field evaluation and the determination of the electro-mechanical quantities of a three-phase double-stator induction motor with massive disk rotor is proposed. As a result of the hypothesis of thin rotor we obtain that the azimuthal component of the rotor current density can be neglected. Then we calculate the radial component of the rotor current density and the other electro-mechanical quantities of the motor taking into account the finite thickness of the rotor. Accuracy of the proposed method has been investigated numerically by means of the finite difference method. >
Defining Leadership in Undergraduate Medical Education, Networks, and Instructors: A Scoping Review

Reviews of the literature on leadership training in undergraduate medical education have been conducted since 2014. Previous reviews have not identified networks, defined leadership, studied the selection criteria for instructors, nor analyzed leadership as interprofessional or transprofessional education. This scoping review fills these gaps. Inclusion criteria included use of competency-based education to teach leadership in universities, and quality assessment. Indexes and grey literature in Spanish, Portuguese, and English languages were included from six databases. Hand searching and consultation were employed for selected bodies of literature. This review identified leadership interventions in nine countries which had national and international networks primarily in English-speaking and European countries. No literature was found in Spanish-speaking or Portuguese-speaking countries, nor in Africa. Teaching leadership was linked mainly with undergraduate medical education and interprofessional education. This review identified 23 leadership and leader definitions and underscored the importance of including values in leadership definitions. Instructors were selected by discipline, role, experience, and expertise. This review may be used to inform the teaching of leadership in undergraduate medical curricula by suggesting potential networks, reflecting on diverse leadership definitions and interprofessional/transprofessional education, and assisting in selection of instructors.