Miracle-dz/UniFAR-FTUs huggingface dataset:
An Assessment of Cultural and Linguistic Competence in Public Health Preparation Programs

Demographic estimates suggest that as the population continues to grow and age in the coming decades, the United States of America will continue to become a more diverse society. The increased diversification of the population makes it urgent for public health professionals, including health education specialists, to master the concepts of cultural and linguistic competence during their academic preparation to be more applied in their professional work. The purpose of this study was to investigate the incorporation of concepts of cultural and linguistic competence in the curriculum among accredited public health schools and programs and other health education and promotion programs to prepare public health education specialists. Point of contact at selected 2021 Council on Education for Public Health list of accredited Schools and Programs of Public Health and an online directory of Health Education and Promotion programs were surveyed. Descriptive statistics were calculated to examine the responses of the participants. While most of the programs reported including cultural competence content and skills in their curriculum, fewer reported inclusion of linguistic competence. Academic programs should prioritize incorporating cultural and linguistic competence in their curriculum not only because of accreditation requirements but because of the moral and professional imperatives presented by the changing demographic changes in the United States.
The "bounded gaps between primes" Polymath project - a retrospective

For any $m \geq 1$, let $H_m$ denote the quantity $H_m := \liminf_{n \to \infty} (p_{n+m}-p_n)$, where $p_n$ denotes the $n^{\operatorname{th}}$ prime; thus for instance the twin prime conjecture is equivalent to the assertion that $H_1$ is equal to two. In a recent breakthrough paper of Zhang, a finite upper bound was obtained for the first time on $H_1$; more specifically, Zhang showed that $H_1 \leq 70000000$. Almost immediately after the appearance of Zhang's paper, improvements to the upper bound on $H_1$ were made. In order to pool together these various efforts, a \emph{Polymath project} was formed to collectively examine all aspects of Zhang's arguments, and to optimize the resulting bound on $H_1$ as much as possible. After several months of intensive activity, conducted online in blogs and wiki pages, the upper bound was improved to $H_1 \leq 4680$. As these results were being written up, a further breakthrough was introduced by Maynard, who found a simpler sieve-theoretic argument that gave the improved bound $H_1 \leq 600$, and also showed for the first time that $H_m$ was finite for all $m$. The polymath project, now with Maynard's assistance, then began work on improving these bounds, eventually obtaining the bound $H_1 \leq 246$, as well as a number of additional results, both conditional and unconditional, on $H_m$. In this article, we collect the perspectives of several of the participants to these Polymath projects, in order to form a case study of online collaborative mathematical activity, and to speculate on the suitability of such an online model for other mathematical research projects.
Human albumin solution utilization patterns prior and during COVID-19 pandemic in United Arab Emirates: Time to develop and implement national guidelines on prescription and utilization

The human albumin solution (HAS) has limited but important indications in clinical practices. However, the inappropriate use of HAS can be costly. Thus, it is imperative to establish a practical protocol to use albumin products and rationalize its usage. The aim of this study was to identify HAS utilization patterns in a multi-specialty private hospital in Dubai, United Arab Emirates (UAE), before and during the COVID-19 pandemic. In addition, the objective was to demonstrate the importance of reconsidering the prescribing strategies for HAS administration. All data on 20% HAS administration in Mediclinic Welcare Hospital (MWEL) were retrieved between January 2019 and May 2021, including the total quantities administered and data on primary diagnosis. A total of 579 patient admissions with various diagnoses were included in this study. Our data suggested that the percentage of clinically indicated 20% HAS administrations decreased from 13.0% in the pre-COVID-19 phase to 1.5% in the COVID-19 phase (p<0.001). An increase in the administration of 20% HAS not backed by agreed clinical evidence followed the increase in new number of COVID-19 cases in the UAE. Our study suggests a large proportion of administered HAS, that drastically increased during COVID-19 with lack of evidence of its benefit. This study can be helpful to refine the institutional guidelines of HAS use, and frequent audits and interactive educational interventions are recommended to tackle this issue. In turn, the refinement of HAS administration guidelines could help to reduce the unjustified cost of inappropriate HAS use.
Smart Systems for Material and Process Designing in Direct Nanoimprint Lithography Using Hybrid Deep Learning

A hybrid smart process and material design system for nanoimprinting is proposed, which is combined with a learning system based on experimental and numerical simulation results. Instead of carrying out extensive learning experiments for various conditions, the simulation learning results are partially complimented when the results can theoretically be predicted by numerical simulation. In other words, the data that are lacking in experimental learning are complimented by simulation-based learning results. Therefore, the prediction of nanoimprint results without experimental learning could be realized under various conditions, even for unknown materials. In this study, material and process designs are demonstrated for a low-temperature nanoimprint process using glycerol-containing polyvinyl alcohol. The experimental results under limited conditions were learned to investigate the optimum glycerol concentrations and process temperatures. Simulation-based learning was used to predict the dependence on press pressure and shape parameters. The prediction results for unknown glycerol concentrations agreed well with the follow-up experiments.
Universal homogeneous constraint structures and the hom-equivalence classes of weakly oligomorphic structures

We derive a new sufficient condition for the existence of {\omega}-categorical universal structures in classes of relational structures with constraints, augmenting results by Cherlin, Shelah, Chi, and Hubi\v{c}ka and Ne\v{s}et\v{r}il. Using this result we show that the hom-equivalence class of any countable weakly oligomorphic structure has up to isomorphism a unique model-complete smallest and greatest element, both of which are {\omega}-categorical. As the main tool we introduce the category of constraint structures, show the existence of universal homogeneous objects, and study their automorphism groups. All constructions rest on a category-theoretic version of Fra\"iss\'e's Theorem due to Droste and G\"obel. We derive sufficient conditions for a comma category to contain a universal homogeneous object. This research is motivated by the observation that all countable models of the theory of a weakly oligomorphic structure are hom-equivalent---a result akin to (part of) the Ryll-Nardzewski Theorem.
Improving firm performance through Competitive Advantage, differentiation strategy and cost leadership: A Literature Review

This study aims to examine previous research in order to determine the role of competitive advantage as a variable that mediates the effect of differentiation strategy and cost leadership strategy on firm performance. This study applies various theories, namely resource-based-view (RBV) theory, and Market-based-view (MBV) theory to explain the relationship between variables. As a literature study article, this article contributes to developing a conceptual framework on how to combine the two perspectives of generic strategy and competitive different advantages. This article has importance for management and further research considering that not many previous studies have used the theoretical framework to test similar research models. This study has limitations in obtaining research that examines competitive advantage in research with firm performance. This research introduces a new framework that illustrates the contribution of competitive advantage to company performance through the implementation of a differentiation strategy and cost leadership strategy.
Combined high-voltage pulsed radiofrequency and ozone therapy versus ozone therapy alone in treating postherpetic neuralgia: a retrospective comparison

Postherpetic neuralgia (PHN) is a devastating disease with extraordinarily poor treatment outcomes. Both pulsed radiofrequency (PRF) and ozone have good effects on the treatment of the disease. However, whether PRF and ozone have a synergistic effect on PHN remains unclear. Therefore, this study aimed to assess the therapeutic effects of ozone alone and in combination with PRF in the treatment of PHN. Ninety-one patients with PHN were assigned into two groups: PRF combined with ozone (PRF + ozone group, n = 44) and ozone therapy alone (ozone group, n = 47). In PRF + ozone group, the high-voltage, long-duration PRF was applied to the target dorsal root ganglions. Then ozonated water (11.5 µg/mL) was injected through the inner cannula. In the ozone group, all other processes were the same as those in the PRF + ozone group apart from the electrical stimulation. The therapeutic efficacy was evaluated by visual analog scale and tactile sensation at pre-treatment and post-treatment 3, 6, and 12 months. Compared with pre-treatment data, the visual analog scale score was significantly decreased in both groups after treatment. Compared with the ozone group, the visual analog scale score was significantly decreased in the PRF + ozone group at 3, 6, and 12 months. Similarly, the tactile sensation was also significantly decreased at post-treatment when compared to pre-treatment. However, there were no statistical differences between the two groups. Regression analysis results showed that the history of diabetes mellitus and age had significant negative and positive effects, respectively, on the treatment results. To conclude, the administration of PRF + ozone and ozone therapy alone could both improve pain symptoms. Moreover, treatment effects and total efficacy rates tended to be higher for the combination of PRF and ozone than ozone alone. This conclusion was especially true for long-term therapeutic effects.
Artificial Intelligence in Dentistry: Past, Present, and Future

Artificial intelligence (AI) has remarkably increased its presence and significance in a wide range of sectors, including dentistry. It can mimic the intelligence of humans to undertake complex predictions and decision-making in the healthcare sector, particularly in endodontics. The models of AI, such as convolutional neural networks and/or artificial neural networks, have shown a variety of applications in endodontics, including studying the anatomy of the root canal system, forecasting the viability of stem cells of the dental pulp, measuring working lengths, pinpointing root fractures and periapical lesions and forecasting the success of retreatment procedures. Future applications of this technology were considered in relation to scheduling, patient care, drug-drug interactions, prognostic diagnosis, and robotic endodontic surgery. In endodontics, in terms of disease detection, evaluation, and prediction, AI has demonstrated accuracy and precision. AI can aid in the advancement of endodontic diagnosis and therapy, which can enhance endodontic treatment results. However, before incorporating AI models into routine clinical operations, it is still important to further certify the cost-effectiveness, dependability, and applicability of these models.
Efficiency of Algorithms for Computing Influence and Information Spreading on Social Networks

Modelling interactions on complex networks needs efficient algorithms for describing processes on a detailed level in the network structure. This kind of modelling enables more realistic applications of spreading processes, network metrics, and analyses of communities. However, different real-world processes may impose requirements for implementations and their efficiency. We discuss different transmission and spreading processes and their interrelations. Two pseudo-algorithms are presented, one for the complex contagion-spreading mechanism using non-self-avoiding paths in the modelling, and one for simple contagion processes using self-avoiding paths in the modelling. The first algorithm is an efficient implementation that can be used for describing social interaction in a social network structure. The second algorithm is a less efficient implementation for describing specific forms of information transmission and epidemic spreading.
Learning torsional eye movements through active efficient coding

The human eye has three rotational degrees of freedom: azimuthal, elevational, and torsional. Although torsional eye movements have the most limited excursion, Hering and Helmholtz have argued that they play an important role in optimizing visual information processing. In humans, the relationship between gaze direction and torsional eye angle is described by Listing’s law. However, it is still not clear how this behavior initially develops and remains calibrated during growth. Here we present the first computational model that enables an autonomous agent to learn and maintain binocular torsional eye movement control. In our model, two neural networks connected in series: one for sensory encoding followed by one for torsion control, are learned simultaneously as the agent behaves in the environment. Learning is based on the active efficient coding (AEC) framework, a generalization of Barlow’s efficient coding hypothesis to include action. Both networks adapt by minimizing the prediction error of the sensory representation, subject to a sparsity constraint on neural activity. The policies that emerge follow the predictions of Listing’s law. Because learning is driven by the sensorimotor contingencies experienced by the agent as it interacts with the environment, our system can adapt to the physical configuration of the agent as it changes. We propose that AEC provides the most parsimonious expression to date of Hering’s and Helmholtz’s hypotheses. We also demonstrate that it has practical implications in autonomous artificial vision systems, by providing an automatic and adaptive mechanism to correct orientation misalignments between cameras in a robotic active binocular vision head. Our system’s use of fairly low resolution (100 × 100 pixel) image windows and perceptual representations amenable to event-based input paves a pathway towards the implementation of adaptive self-calibrating robot control on neuromorphic hardware.
Analysis of Mathematical Connection Ability to Students' Learning Motivation in Advanced Mathematics Courses

This study aims to learn how the students' mathematical connections are and discover the influence of the mathematical connections on students’ motivation in advanced mathematics learning. The population of this research is the second-semester students of a state university in Yogyakarta, and the subject is 84 students. The instrument used was the question sheets on the mathematical connection ability on advanced mathematics materials, the questionnaire instrument, and the interview guidelines related to learning motivation. The data analysis used was the descriptive statistics analysis. The results of this study indicate that (1) the students’ mathematical connection ability was low, (2) the influence of connection abilities on motivation was very low.
Stability analysis of uncertain switched singular time‐delay systems with discrete and distributed delays

The issues of stability analysis of a class of continuous uncertain switched singular time‐delay systems consisting of discrete and distributed delays is investigated in this paper. Based on the LMIs, constructing the new extended Lyapunov‐like Krasovskii functional, and the average dwell‐time approach, delay‐dependent sufficient conditions are derived to check the stability of such systems. By solving the corresponding LMIs, the average dwell‐time and switching signal condition are obtained. This paper also highlights the relationship between the average dwell‐time of the switched singular time‐delay system, exponential rate of differential, and algebraic states. Two numerical examples show the effectiveness of the proposed design method. Copyright © 2013 John Wiley & Sons, Ltd.
The Implementation of an Inductive Model on Science Students’ Critical Thinking Skills during Online Learning

For almost two years now, the world has faced the COVID-19 pandemic whereby face-to-face learning has changed to online learning. The most crucial component is that science students' abilities have not appropriately developed, particularly in critical thinking skills. Hence, this research aimed to examine the effectiveness of an Inductive Model during online learning to enhance science students' critical thinking skills. This quasi-experimental with explanatory mixed-method design involved pre-test and post-test sessions followed by a focused group interview. Sixty science students were divided into two groups: the control group and the treatment group. The control group (n = 30) was taught via online learning without using an Inductive Model, while the treatment group (n = 30) was taught via online learning using an Inductive Model. The results showed that the science students’ critical thinking achievement in the treatment group significantly improved based on the post-test results. The Levene's test showed that the pre-test scores of the two experimental groups were homogeneous before the experiment was conducted [F (1, 58) = 2.757, p > 0.05]. In the qualitative aspect, this study also found that students had an enjoyable session and were motivated (more interested, and fascinated) through the inductive learning session, and improved their critical thinking skills. In conclusion, science teachers need to be creative and competent in teaching and learning strategies to reinforce students' critical thinking skills.
Re-calibrated Generalized-Scidar measurements at Cerro Paranal (VLT's site)

Generalized Scidar (GS) measurements taken at the Paranal Observatory in November/December 2007 in the context of a site qualification for the future European Extremely Large Telescope E-ELT are re-calibrated to overcome the bias induced on the CN2 profiles by a not correct normalization of the autocorrelation of the scintillation maps that has been recently identified in the GS technique. A complete analysis of the GS corrected measurements as well as of the corrected errors is performed statistically as well as on individual nights and for each time during all nights. The relative errors of the CN2 profiles can reach up to 60% in some narrow temporal windows and some vertical slabs, the total seeing up to 12% and the total integrated turbulence J up to 21%. However, the statistic analysis tells us that the absolute errors of the median values of the total seeing is 0.06 arcsec (relative error 5.6%), for the boundary seeing 0.05 arcsec (relative error 5.6%) and for the seeing in the free atmosphere 0.04 arcsec (relative error 9%). We find that, in spite of the fact that the relative error increases with the height, the boundary and the free atmosphere seeing contribute in an equivalent way to the error on the total seeing in absolute terms. Besides, we find that there are no correlations between the relative errors and the value of the correspondent seeing. The absolute error of the median value of the isoplanatic angle is 0.13 arcsec (relative error 6.9%).
Analisis Pengaruh Pendidikan, Kesehatan, Sanitasi dan Rata-Rata Jumlah Anggota Keluarga Per Rumah Tangga terhadap Kemiskinan di Indonesia

This research is entitled Analysis of the Effect of Education, Health, Sanitation and Average Number of Family Members per Household on Poverty in Indonesia in 2013-2020. The location used in this study is Indonesia and the population in this study is 34 provinces. The data used in this study are secondary data obtained from the Central Bureau of Statistics in 2013-2020 as well as journals related to this research. The method used is Multiple Linear Regression with Panel Data approach which is processed using Eviews-10 software. The results of this study indicate that the fixed effect model is the best model with results showing that partially education and sanitation variables have a negative and significant effect. The results of this study support the poverty circle theory and the theory of human capital. Education is one of the human capital to increase productivity, with good productivity it will affect work and income which can later be used as a reference to get out of poverty. The sanitation variable supports the theory of human capital and has a relationship with public health which will also affect the quality of community productivity. Meanwhile, health variables and the average number of family members per household have no effect on poverty in Indonesia in 2013-2020. The implication of this research is that the government is expected to provide adequate educational facilities and provide counseling about the importance of sanitation to health in reducing poverty. The limitations of this study are that it only uses four independent variables and the period of time used is only 8 years.
Advances in Cutaneous Squamous Cell Carcinoma Management

Simple Summary Cutaneous squamous cell carcinoma (cSCC) is an increasingly prevalent and morbid cancer worldwide. Management of this cancer has changed significantly in the last decade through improved risk stratification and new therapies offering patients with locally advanced and metastatic disease more effective, less toxic, and more durable treatment options. Ongoing clinical trials are assessing new therapeutic options as well as optimizing existing regimens in efforts to better manage this cancer. The recent developments highlight the need for multidisciplinary care, especially for those with locally advanced and metastatic disease. Abstract cSCC is increasing in prevalence due to increased lifespans and improvements in survival for conditions that increase the risk of cSCC. The absolute mortality of cSCC exceeds melanoma in the United States and approaches that of melanoma worldwide. This review presents significant changes in the management of cSCC, focusing on improvements in risk stratification, new treatment options, optimization of existing treatments, and prevention strategies. One major breakthrough in cSCC treatment is the advent of immune checkpoint inhibitors (ICIs) targeting programmed cell death protein 1 (PD-1) and programmed death-ligand 1 (PD-L1), which have ushered in a renaissance in the treatment of patients with locally advanced and metastatic disease. These agents have offered patients with advanced disease decreased therapeutic toxicity compared to traditional chemotherapy agents, a more durable response after discontinuation, and improved survival. cSCC is an active field of research, and this review will highlight some of the novel and more developed clinical trials that are likely to impact cSCC management in the near future.