Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of orofacial pain on the quality of life of mouth and oropharynge cancer patients

Purpose: To investigate the impact of orofacial pain on the quality of life of patients with oral and oropharyngeal cancer. Methods: This is a cross-sectional, observational, descriptive study with a convenience sample. Thirty patients of both sexes participated in the research, aged between 35 and 75 years. For data collection, a sociodemographic questionnaire prepared by the researchers, the McGuill pain protocol, was used. Results: The experimental findings show us relevant results at different classification levels for orofacial pain. The greatest repercussions were found in social aspects, such as sleep (40%), appetite/food (78%), personal hygiene (55%) and leisure (40%), which were the sub-items that had the greatest impact on pain (or which were the sub-items mostly affected by pain), affecting the the quality of life of patients with oral and oropharyngeal cancer. Conclusion: Under these experimental conditions, it is concluded that patients with oral and oropharyngeal cancer present different levels of orofacial pain, and suffer impacts on their lives, especially in matters related to simple daily activities.
Formic Acid Dehydrogenation over a Monometallic Pd and Bimetallic Pd:Co Catalyst Supported on Activated Carbon

In this study, palladium is proposed as an active site for formic acid dehydrogenation reaction. Pd activity was modulated with Co metal with the final aim of finding a synergistic effect that makes possible efficient hydrogen production for a low noble metal content. For the monometallic catalysts, the metal loadings were optimized, and the increase in the reaction temperature and presence of additives were carefully considered. The present study aimed, to a great extent, to enlighten the possible routes for decreasing noble metal loading in view of the better sustainability of hydrogen production from liquid organic carrier molecules, such as formic acid.
Effect of Biosilicate® Addition on Physical–Mechanical and Biological Properties of Dental Glass Ionomer Cements

This study investigated the influence of incorporating Biosilicate® on the physico-mechanical and biological properties of glass ionomer cement (GIC). This bioactive glass ceramic (23.75% Na2O, 23.75% CaO, 48.5% SiO2, and 4% P2O5) was incorporated by weight (5%, 10%, or 15%) into commercially available GICs (Maxxion R and Fuji IX GP). Surface characterization was made by SEM (n = 3), EDS (n = 3), and FTIR (n = 1). The setting and working (S/W time) times (n = 3) and compressive strength (CS) were analyzed (n = 10) according to ISO 9917-1:2007. The ion release (n = 6) was determined and quantified by ICP OES and by UV-Vis for Ca, Na, Al, Si, P, and F. To verify cell cytotoxicity, stem cells from the apical papilla (SCAP) were exposed to eluates (n = 3, at a ratio of 1.8 cm2/mL) and analyzed 24 h post-exposure. Antimicrobial activity against Streptococcus mutans (ATCC 25175, NCTC 10449) was analyzed by direct contact for 2 h (n = 5). The data were submitted for normality and lognormality testing. One-way ANOVA and Tukey’s test were applied for the working and setting time, compressive strength, and ion release data. Data from cytotoxicity and antimicrobial activity were submitted for Kruskal–Wallis’ testing and Dunn’s post hoc test (α = 0.05). Among all experimental groups, only those with 5% (wt) of Biosilicate® showed better surface quality. Only M5% showed a comparable W/S time to the original material (p = 0.7254 and p = 0.5912). CS was maintained for all Maxxion R groups (p > 0.0001) and declined for Fuji IX experimental groups (p < 0.0001). The Na, Si, P, and F ions released were significantly increased for all Maxxion R and Fuji IX groups (p < 0.0001). Cytotoxicity was increased only for Maxxion R with 5% and 10% of Biosilicate®. A higher inhibition of S. mutans growth was observed for Maxxion R with 5% of Biosilicate® (less than 100 CFU/mL), followed by Maxxion R with 10% of Biosilicate® (p = 0.0053) and Maxxion R without the glass ceramic (p = 0.0093). Maxxion R and Fuji IX presented different behaviors regarding Biosilicate® incorporation. The impacts on physico-mechanical and biological properties were different depending on the GIC, but therapeutic ion release was increased for both materials.
Engineering a Reliable Software Stack for Computer Vision on Small Satellites

In the majority of satellite missions, data is collected onboard and processed on the ground. This bottlenecks the amount of scientific data that can be downlinked without compression. However, as computing systems have progressed, missions have begun using high-performance computers onboard for in-situ computation, reducing the need to downlink raw data. The Multiview Onboard Computational Imager (MOCI) will house its computer vision pipeline onboard an NVIDIA Jetson TX2i GPU in order to create digital elevation models from and recognize objects within high-resolution imagery, while only needing to downlink the final data products. For reliable mission success in a constrained satellite body and unforgiving environment in space, measures are taken to ensure both that the underlying system architecture is fault-tolerant in Low Earth Orbit and that the higher level algorithms can operate within architectural limits and agnostic of sensor noise. Index words: [onboard processing, gpu, edge computing, radiation mitigation, computer vision, structure from motion] Engineering a Reliable Software Stack for Computer Vision on Small Satellites
Branching processes with immigration

Consider a branching process in which each individual reproduces independently of all others and has probability aj (j = 0, 1, ···) of giving rise to j progeny in the following generation, and in which there is an independent immigration component where, with probability bj (j = 0, 1, ···) j objects enter the population at each generation. Then letting Xn (n = 0, 1, ···) be the population size of the nth generation, it is known (Heathcote (1965), (1966)) that {Xn } defines a Markov chain on the non-negative integers and it is called a branching process with immigration (b.p.i.). We shall call the process sub-critical or super-critical according as the mean number of offspring of an individual, , satisfies α < 1 or α > 1, respectively. Unless stated specifically to the contrary, we assume that the following condition holds.
Prompt-tuning in Controlled Dialogue Generation

Recent years have witnessed a prosperous development of dialogue response generation since the advent of Transformer [66]. Fine-tuning pretrained language models for different downstream tasks has become the dominant paradigm in Natural Language Processing (NLP). However, fine-tuning requires storing a full copy of parameter states for every task, which is memory-consuming and expensive to serve when working with large-scale models with billions of parameters like GPT-3 [8]. Meanwhile, prompt-tuning has become an increasingly popular parameter-efficient method for steering large pretrained language models to various tasks. Most of the prompting techniques are applied in language understanding and assuming fixed prompts for all data samples within a task. Therefore, there arises an urgent need to exploit the ability of prompt-tuning in open-domain dialogue generation where data samples may vary greatly within a task. In this thesis, we present a novel, instance-specific prompt-tuning algorithm for dialogue generation. Specifically, we generate prompts based on instance-level control code, rather than the conversation context, to explore their impact on controlled dialogue generation. Experiments on popular open-domain dialogue datasets, evaluated with both automated metrics and human evaluation, demonstrate that our method is superior to prompting baselines as well as other lightweight controlled generation methods, and comparable to fine-tuning with less than 10% of total parameters.
The Effect of Price, Service Quality, and Brand Image on Customer Satisfaction

: Every company is required to make consumers feel satisfied by providing better services to maintain their market position. This research was conducted to explain the effect of price, quality and brand image on the customer satisfaction of Mie Kober Renon. 114 people were used as sample, with purposive sampling. Multiple linear regression was used. The results of the study show that price, quality, and brand image simultaneously have positive and significant effect on customer satisfaction, through price, good service quality and brand image can increase customer satisfaction. Price has positive and significant effect on customer satisfaction. Continuous price compatibility can increase customer satisfaction. Service quality has positive and significant effect on customer satisfaction where the better the service quality will be able to increase customer satisfaction. Brand image has positive and significant effect on customer satisfaction where the better the brand image will be able to increase customer satisfaction.
Improving Data Visualization Skills: A Curriculum Design

It is unclear whether the data visualization skills possessed by data-centric practitioners reflect recent advances in computing systems and visual design principles, and their role in generating relevant and insightful output to support decision-making. In this study, the author presents a curriculum designed for teaching basic and advanced concepts in data visualization. The author used the survey method to examine whether respondents perceived the pedagogic approach to have enhanced their data visualization competence. The findings indicate preference for a hands-on pedagogic approach to learning data visualization as compared to an entirely theory-based approach. Furthermore, different components of the pedagogic approach were reviewed. The respondents rated most components of the curriculum highly as well as the pedagogical structure. As a cognitive tool, the respondents recognized that visualization helps to generate deeper insights into data, and it supports effective decision-making.
Structural phase transition and the electronic and magnetic properties of Sr 2 FeMoO 6

The nuclear and magnetic structures of Sr{sub 2}FeMoO{sub 6} have been investigated using neutron powder diffraction and Mo''ssbauer spectroscopy at temperatures between 10 and 460 K. Fe and Mo atoms are found to order on alternate sites, as expected, giving rise to a double-perovskite-type unit cell. Upon cooling, a structural phase transition from cubic Fm{bar 3}m to tetragonal I4/m occurs at {approx}400 K. In the tetragonal I4/m structure as the temperature decreases, the FeO{sub 6} and MoO{sub 6} octahedra rotate continuously around the c axis by an angle of up to {approx}5.6{sup o}. In the I4/m phase, the magnetic moments for Fe and Mo order ferrimagnetically. The Fe magnetic spins first align along the c direction and then rotate to an angle of {approx}54{sup o} with respect to the c axis; the refined Fe magnetic moment saturates at {approx}4.3{mu}{sub B}. Mo''ssbauer spectroscopy measurements show that the average valence of Fe is intermediate between the high spin configuration values of Fe{sup +2} and Fe{sup +3}. The temperature dependence of the mean hyperfine field is in good agreement with the neutron-diffraction results and gives the same transition temperature.
Selaginelladensiciliata (subg. Heterostachys, Selaginellaceae), a new spikemoss species from China based on morphological and molecular data

﻿Abstract A new species of spikemoss, Selaginelladensiciliata in S.subg. Heterostachyssect.Tetragonostachyae, China, is described from southeastern Xizang, based on morphological and molecular phylogenetic data. Morphologically, S.densiciliata is similar to S.repanda, S.subvaginata and S.vaginata, but the new species can be easily distinguished from them by having sterile leaves margins densely ciliate, symmetrical axillary leaves oblong ovate to ovate-triangular, and ovate dorsal leaves obviously carinate. Molecular phylogenetic analysis resolves S.densiciliata as sister to the clade comprised with S.vaginata and S.xipholepis, which confirms the recognition of the new species.
An analysis of specific batting demands in the women’s The Hundred competition

Background No research has investigated the shortest format of the game of cricket, The Hundred competition. Furthermore, women’s cricket research is particularly limited, with most focusing on injuries and little literature investigating specific batting demands. These demands are important if training programmes are to mimic the game’s movement patterns. Objectives The purpose of this study was to analyse specific batting demands and variables associated with the women’s The Hundred competition. Methods Thirty-one matches from the Women’s 2021 The Hundred competition were analysed using Hudl Sportscode Elite. Variables analysed included: bowler type (seam or spin), free hits, no ball runs, reason for no ball (height/wide/front foot), run scored (0, 1, 2, 3, 4, 6), type of key event (fall of wicket, bowling referral, batting referral, umpire referral, bowling time out, rain delay, or injury) as well as time between deliveries and sets, overall and between the power play and non-power play. A total of 6073 deliveries were analysed. Results A significant difference (p<0.05) was observed for time between deliveries for spin bowlers (26.90±22.16 s) compared to seam bowlers(31.70±20.37 s) as well as time between sets for the power play (58.00±13.28 s) and non-power play phases (63.70±42.00 s). Additionally, in the power play, most runs were made up of “1’s” and “4’s”. In the non-power play phase, “1’s” made up the biggest contribution of runs (as a percentage). Conclusion The fact that singles make up a significant portion of a typical match means that strength and conditioning coaches should incorporate high-intensity sprint-type training into training programmes to mimic these demands.
Compassion fatigue, burnout and compassion satisfaction among physicians in Makkah region, Saudi Arabia: A cross sectional study

Background: Burnout (BO) is a syndrome of emotional depletion, cynicism and lack of personal achievement that occurs among individuals who work continuously with people. Compassion Fatigue (CF) is a type of burnout that results of helping a suffering individual. Otherwise, Compassion Satisfaction (CS) is the professional satisfaction gained from providing care to patients. Aim: This study aims to determine the prevalence of Compassion Fatigue, Burnout and Compassion Satisfaction among Physicians in Makkah region, Saudi Arabia. Methods: An online questionnaire was distributed to evaluate the prevalence of CF, BO and CS among all physicians (Residents, Specialists and Consultants) who work in different specialties in Makkah region, Saudi Arabia. Results: Results showed that the physical environment at work and the clinical situation were the most common sources of distress. The prevalence of CF was 18.5%; BO was prevalent among 15.6% of physicians. And the prevalence of CS was 17.7%. Conclusion: This study showed an increase rate of CF, BO and reduced levels of CS among physicians. Therefore, the focus should be directed at causes, risk factors and try to minimize them.
THE ISSUE OF TRUST AND IMPLEMENTATION OF RESULTS IN HEALTHCARE MODELING AND SIMULATION STUDIES

The issue of real world implementation of the results of modeling and simulation (M&S) studies in healthcare has been the focus of research interest for decades. Using a model of trust which focuses on a three-way conceptualization of trust between modelers, the model and stakeholders across the M&S study process, this paper investigates reported project features of a subset of healthcare studies that describe results implementation. Differentiating between credibility and trust, the paper provides a preliminary evaluation of aspects of implemented studies that can be mapped to the trust model. The findings align with previous empirical results that have investigated implementation in healthcare M&S, and support the value of the Trust model for structuring an evaluation or implementation plan for M&S studies in the healthcare domain.
Ex Vivo Osteogenesis Induced by Calcium Silicate-Based Cement Extracts

Calcium silicate-based cements are used in a variety of clinical conditions affecting the pulp tissue, relying on their inductive effect on tissue mineralization. This work aimed to evaluate the biological response of calcium silicate-based cements with distinct properties—the fast-setting Biodentine™ and TotalFill® BC RRM™ Fast Putty, and the classical slow-setting ProRoot® MTA, in an ex vivo model of bone development. Briefly, eleven-day-old embryonic chick femurs were cultured for 10 days in organotypic conditions, being exposed to the set cements’ eluates and, at the end of the culture period, evaluated for osteogenesis/bone formation by combining microtomographic analysis and histological histomorphometric assessment. ProRoot® MTA and TotalFill® extracts presented similar levels of calcium ions, although significantly lower than those released from BiodentineTM. All extracts increased the osteogenesis/tissue mineralization, assayed by microtomographic (BV/TV) and histomorphometric (% of mineralized area; % of total collagen area, and % of mature collagen area) indexes, although displaying distinct dose-dependent patterns and quantitative values. The fast-setting cements displayed better performance than that of ProRoot® MTA, with BiodentineTM presenting the best performance, within the assayed experimental model.
Didactic-Mathematical Knowledge mobilized by future mathematics teachers

From the perspective of mathematics education, several studies focus on the training of mathematics teachers. This article is a part of a master’s research. It aims to analyze the didactic-mathematical knowledge mobilized by future mathematics teachers when solving tasks centered on themes related to financial education. It is qualitative research developed in the context of teacher education, consisting of a sample of undergraduate students in mathematics from two public higher education institutions in the North of Minas Gerais (Brazil). For data collection, a workshop was developed with five tasks, four of which were synchronous, carried out by Google Meet, and one asynchronous, posted on Google Classroom, which articulates mathematical content with themes related to Financial Education, namely: reflection on a class of math; reflecting on inflation and price indices; analyzing housing finance; analyzing interest and its applications in credit operations; elaborating activities related to interest applications. Data analysis, carried out from the mathematical and didactic dimensions of the Didactic-Mathematical Knowledge (DMK) model, revealed that future teachers satisfactorily mobilized the common knowledge of the mathematical content and, partially, the expanded knowledge. The mobilization of didactic knowledge was satisfactory only in the cognitive facet and partial in the other facets of the DMK.
SAFETY PROFILE OF MUSA PARADISIACA AQUEOUS FRUIT- EXTRACT IN TESTIS OF NORMAL RAT

1 Department of Anatomy, Faculty of Biomedical Sciences, Kampala International University, Western Campus, Uganda. Department of Physiology, Faculty of Biomedical Sciences, Kampala International University, Western Campus, Uganda. Department of Biochemistry, Faculty of Biomedical Sciences, Kampala International University, Western Campus, Uganda. Department of Anatomy and Forensic Science, Cross River State University of Technology, Okuku, Nigeria. Department of Physiology, Cross River State University of Technology, Okuku, Nigeria. Department of Biochemistry, Faculty of Science, Ebonyi State University, P.M. B053 Abakaliki, Nigeria
Evaluation of GAN Architectures for Adversarial Robustness of Convolution Classifier

Deep learning models are vulnerable to adversarial attacks, which could generate adversarial perturbation to make deep learning classifiers fail in classification tasks. In this paper, we reviewed a variety of defensive methods against adversarial attacks and proposed our solution. We present a modification of Generative Adversarial Network (GAN) architecture to train a classifier for the purpose of defending against adversarial attacks. We trained multiple deep learning classifiers with different generator formulations to compare and evaluate their robustness against adversarial attacks. We show how the GAN architecture could contribute to the adversarial machine learning problem and how the capacity of the generator affects the training performance. Our results show that GAN architectures can improve the adversarial robustness of a deep learning classifier with more efficiency training time. The CIFAR 10 classifier accuracy remains around 45% under 8/255 L infinity norm adversarial distortion.
The role of selected pre-match covariates on the outcome of One-day International (ODI) cricket matches

Background The identification of key factors that systematically influence a team’s success is important and has led to the application of statistical models in sport. Predicting the outcome of a One Day International (ODI) cricket match, using only pre-match covariates, has been minimally investigated. Objectives This research sought to investigate the impact that venue, toss outcome, toss decision, and match type have on the chances of winning an ODI match. Methods A total of 1228 men’s international ODI matches were analysed. A logistic regression model was used to identify the significance of these pre-match covariates on the result of the matches. Results The results varied across all teams, suggesting that there are individualised factors driving these differences and that generalising the impact pre-match covariates have in every team is unrealistic. New Zealand and India displayed a significant home advantage effect, whereas Australia had a strong tendency towards a significant disadvantage when they won the toss. However, for most teams, toss outcome, toss decision, and match type did not significantly impact the outcome of an ODI match. Conclusion New Zealand and Australia were the most predictable teams, whereas South Africa and Pakistan were regarded as unpredictable when pre-match covariates were used to forecast the outcome of their ODI matches.
Oil and Non-Oil Revenues on Economic Growth In Nigeria (1981-2021)

Over the years Oil and Non-oil revenue havebeen adjudged to be the main source of Nigeria income. However, the extent to which Oil and Non-oil revenue have impacted on economic growth in Nigeria is with mixed outcome and inconclusiveness given the decline and instability in oil revenue and consequently, with thesluggish rate of Nigeria economic growth. Therefore, this study examined the impact of oil and non-oil revenues on economic growth in Nigeria. The study employed time series data sourced from Central Bank of Nigeria Statistical Bulletin 2020, spanning from the period of 1981 to 2021 using econometric technique of Autoregressive Distributed Lag and Ordinary Least Square to analyze the impactthese aforementioned variables have on economic growth. Finding of this study revealed that Oil and Non-oil revenue have significant and positive impact on economic growth under the period studied. Based on the findings of the study, it was recommended among others that the government should continue to widen oil exploration and expandnon-oil revenue through technological innovation, technical-no-how and economic diversification in order to continueto sustain economic growth.
Searching for Powerful Supersaturated Designs

An important property of any experimental design is its power, defined roughly as its ability to detect active factors. For supersaturated designs, power is even more critical. We consider several popular supersaturated design construction criteria in the literature, propose several of our own, and perform a simulation study to evaluate them in terms of power. We use two analysis methods—forward selection and the Dantzig selector—and find that, although the Dantzig selector clearly outperforms forward selection, there is no clear winner among the design construction criteria.