Miracle-dz/UniFAR-FTUs huggingface dataset:
Division of Responsibility in Child Feeding and Eating Competence among Brazilian Caregivers

This cross-sectional study aimed to assess Brazilian child caregivers’ eating competence (EC) and their adherence to the division of responsibility (sDOR) in child feeding. The research had national coverage in all Brazilian regions. The sample comprised 549 caregivers of Brazilian children (24 up to 72 months) recruited by social media (snowball method). Data on sDOR and EC were collected using the sDOR.2-6yTM Portuguese—Brazil (sDOR.2-6y-BR) and ecSI2.0TMBR, both instruments validated to the Brazilian population. The scores of the sDOR.2-6y-BR were described in terms of means, standard deviations (SD), medians, and interquartile range. Student’s t-test and analysis of variance (ANOVA) followed by Tukey’s post hoc tests were used to compare the scores of sDOR.2-6y-BR and ecSI2.0TMBR with interest variables. The association between the sDOR.2-6y-BR and ecSI2.0TMBR scores was verified by Pearson’s correlation coefficient. Most of the participants were female (n = 88.7%), 37.8 ± 5.1 y/o, had a high schooling level (70.31%), and high monthly income (more than 15 minimum wages—MW) (31.69%). The children for whom the participants were responsible were mostly girls (53.19%), with an average age of 3.6 ± 1.3 y/o. The instrument presented good responsiveness (floor and ceiling effects = 0%). Cronbach’s Alpha = 0.268. There was no statistical difference in sDOR.2-6y-BR scores between caregiver’s gender, age, level of education, number of people living in the household, or by gender or age of the child. Caregivers who reported (n = 100) that their children had some medical diagnosis (e.g., food allergy, autism, or Down syndrome) had lower sDOR adherence scores than caregivers who indicated their children had no medical diagnosis (p = 0.031). There was no statistical difference in ecSI2.0TMBR scores between the categories of caregiver’s gender, age, occupancy, and child’s gender and age. Caregivers with income higher than 10 MW, living in houses with more than 3 people, and with graduate schooling showed higher EC scores. Caregivers considered competent eaters by ecSI2.0TMBR scores differed only for educational level, which was more frequent among graduate participants. The total EC score was positively associated with total and mealtime structure (D1), how food is available to the child (D3), and the parent gives respect to the child’s autonomy in eating (D4) sDOR.2-6yTM domains. There was a negative association with the what is available to the child (D2) sDOR.2-6yTM domain. In general, the sDOR.2-6y-BR had a positive association with the ecSI2.0TMBR in all domains and total, with a low but significant correlation. This study enables the investigation of the division of responsibility in feeding and EC of a sample of caregivers of children in Brazil. This is the first study to apply the translated and validated version of the sDOR.2-6y-BR and showed good results, where competent eaters’ caregivers adhere more to the principles of sDOR.
Lightweight Neural Network for Spatiotemporal Filling of Data Gaps in Sea Surface Temperature Images

Optical remotely sensed data often have data gaps due to cloud coverage, which hinders their full potential in many environmental applications. The question of how to accurately and effectively reconstruct the measurements in the data gaps remains a challenge. In this study, we developed a bidirectional long short-term memory (BiLSTM) model with a novel and adaptable custom temporal penalty layer for spatiotemporal gap filling. The model was trained and tested in time-series daily nighttime sea surface temperature (SST) images acquired by the Himawari-8 satellite. The modeling results showed strong performance, accurately reconstructing spatial and temporal features of cloud-affected SST data. Our neural network achieved a per-image MAE of 0.1193 °C and per-image root mean square error (RMSE) of 0.1293 °C. The model was also able to produce realistic SST time-series predictions that were consistent with the expected seasonal variables. Importantly, the BiLSTM model outperformed the previous state-of-the-art simple spatial gap-filling processor (SSGP) algorithm in terms of error metrics, structural similarity (SSIM), and computational efficiency. Overall, the results of this study indicate that the BiLSTM neural network model we developed is highly suitable for spatiotemporal gap filling of SST and other remotely sensed data.
Ranking-Based Case Retrieval with Graph Neural Networks in Process-Oriented Case-Based Reasoning

In Process-Oriented Case-Based Reasoning (POCBR), experiential knowledge from previous problem-solving situations is retrieved from a case base to be reused for upcoming problems. The task of retrieval is approached in previous work by using Graph Neural Networks (GNNs) to learn workflow similarities which are, in turn, used to find similar workflows w.r. t. a query workflow. This paper is motivated by the fact that these GNNs are mostly used for predicting the similarity between two workflows (query and case), while the retrieval in CBR is only concerned with the ranking of the most similar workflows from the case base w.r. t. the query. Thus, we propose a novel approach to extend the GNN-based workflow retrieval by a Learning-to-Rank (LTR) component where rankings instead of similarities between cases are predicted. The main contribution of this paper addresses the changes to the GNNs from previous work, such that their model architecture predicts pairwise preferences between cases w.r. t. a query and that they can be trained using labeled preference data. In order to transform these preferences into a case ranking, we also describe rank aggregation methods with different levels of computational complexity. The experimental evaluation compares different models for predicting similarities and rankings in case retrieval scenarios. The results indicate the potential of our ranking-based approach in significantly improving retrieval quality with only small impacts on the performance.
Meta-analysis of political communication research on Twitter: Methodological trends

Abstract This meta-analysis examines the methodological tendencies of scientific research about political communication on Twitter published in journals based on Spanish-speaking countries between 2019 and 2021. It covers all the journals indexed in the JCR and the two first quartiles of Scopus index, producing a universe of 1.233 articles, of which 51 addressed political communication on Twitter. The focus is set on the following methodological parameters: sample types and construction, time periods, geographical areas, methodologies, multimedia analysis, general research themes and approaches, and software resources. The aim is to provide a map of recent research in the Spanish-speaking scientific community and to identify widespread methodological trends. A significant trend of software dependency was identified, i.e. published research often consists of the mere application of a certain software to a certain dataset, without enough discussion on the possible biases introduced by the software and the sampling methods.
β-cryptoxanthin and fatty liver disease: new insights

is required to mediate these effects. Indeed, past studies in rodent models of non-alcoholic fatty liver disease have demonstrated a protective effect of β -cryptoxanthin supplementation on markers of hepatic fat accumulation and inflammation (4-6). Despite their positive results, these studies did not shed light on whether these effects were dependent on β -cryptoxanthin metabolism by BCO1/2. In two separate studies, also from the group of Dr. Wang, the effect of β -cryptoxanthin supplementation was studied in a mouse model consuming a diet high in refined carbohydrates (7,8). The importance of β -cryptoxanthin cleavage was genetically dissected in these studies through the use of Bco1 -/- /Bco2 -/- double knockout mice. Both studies showed that β -cryptoxanthin supplementation inhibited hepatic lipid accumulation, inflammation and hepatocellular carcinoma progression. Moreover, this effect was independent of Bco1/Bco2 genotype, suggesting that these positive effects were mediated by intact β -cryptoxanthin and occurred independently of its cleavage by BCO1/2 (7,8). As
Effects of using a video-clip instructional strategy on students’ performance in a computer networking course

ABSTRACT This study determined the efficacy of the video-clip lecture strategy in enhancing computer science (CS) students’ performance in a computer networking course at universities in Gombe state, Nigeria. The study adopted a quasi-experimental design with non-equivalent groups of intact classes. Study participants were 136 CS third-year students made up of 87 males and 49 females selected from the two public universities in the state offering computer science education. The Computer Networking Achievement Test (CNAT) was the instrument used for data collection with a reliability index of . 79 established using K-R 20. The scores obtained from the pre-test and post-test were analysed using mean and Analysis of Covariance for the hypotheses at 0.05 level of significance. The study’s findings indicated a higher mean performance among the treatment group compared to the control group. Findings demonstrate the efficacy of innovative pedagogy towards enhancing learner engagement in CS courses, thus assisting students to become active learners.
Multiple Regression in Behavioral Research.

One of the dilemmas facing those who teach sociological methods and statistics these days is how to present the three main applied analytical models which derive from the general linear hypothesis-analysis of variance, regression, and analysis of covariance. The reason for this dilemma is that whereas there now exist in the sociological literature a number of theoretical expositions integrating these various models, nowhere has there existed a reference or, for that matter, a set of references which provided the computational integration in sufficient clarity that the teacher could assign them to his class and be assured that the student would obtain a clear picture of how the three models were computationally interrelated and interchangeable. Kerlinger and Pedhazur have painstakingly provided such a resource. For those looking for such a text (or reference book), it is a teacher's delight! The authors provide one with a consistency of framework which opens in Part 1 (five chapters). Those chapters are a review of the foundations of multiple regression and can be easily read by students who have had an introductory course in statistics. The review is, however, more than just a rehash of regression theory and procedures, as the authors are also developing a framework for the later integration of analysis of variance, analysis of covariance, time series analysis, path analysis and multivariate analysis (multivariate analysis of variance, canonical regression, and discriminant analysis). Part 2, which consists of six chapters, is the focal point of the book. For example, chapters 5, 6, and 7 give an introduction to the use of dummy coding to achieve the same results as one gets in one-way analysis of variance. Chapter 8 extends the procedures to multiple categorical variables and how they can be handled in the multiple regression framework to achieve the same results one would obtain via ANOV computational procedures in factorial designs. Chapter 9 departs from this theme to open considerations of testing for linear and curvilinear regression when working with continu'ous variables. Chapter 10 weaves these considerations into those developed earlier regarding categorical variables and discusses regression procedures for handling both continuous and categorical regressors in the same equation. (I have found this to be a topic of great interest among sociology students who wonder how to use
MEASUREMENTS OF THE SIZE AND ELECTRIFICATION OF DROPLETS IN CUMULIFORM CLOUDS

Abstract The size and the free electric charge of more than 6000 individual natural cloud droplets have been measured. The measurements were made at a mountain laboratory in southeastern United States in strato-cumulus clouds and in thunderstorm-associated clouds. Stratocumulus clouds with fair-weather electric fields were found to have approximate Gaussian-charge distributions symmetric about zero charge. The magnitude and distribution of charge observed on these non-storm clouds approach values described recently by R. Gunn in his theory of aerosol electrification by the diffusion of environmental light ions. Thundercloud droplets were highly electrified and within given cloud volumes the droplets were charged entirely positive, entirely negative, or fractionally positive and negative.
Portable Acoustic and Bioimpedance Sensing System to Support Vocal Pathology Assessments

This paper presents the design and development of a portable platform (using commercially available hardware) to collect tissue bioimpedance and acoustic data to support applications/research in speech pathology. Hardware (Raspberry Pi, Arduino Due, MAX30001) and software of the prototype system are presented with test data to validate prototype operation/functionality. Compared to reference measurements, bioimpedance data has less than 6% difference from 500 Hz to 128 kHz for resistance and less than 30% for reactance. Audio sound pressure levels have less than 5% difference for measurements captured by the prototype system and a reference desktop.
“A change in the narrative, a change in consensus”: the role of Deep End networks in supporting primary care practitioners serving areas of blanket socioeconomic deprivation

ABSTRACT England’s primary care crisis threatens the ability of general practice to play its role in the latest attempts to address the nation’s stubbornly persistent health inequalities. The primary care crisis is particularly acute in areas of blanket socioeconomic deprivation, where need is greatest. Deep End networks of general practitioners (GPs) are being established in the UK, and internationally, in response to the challenges of delivering primary care in deprived areas. As part of the co-creation of a Deep End network in the North East and North Cumbria, in this study we capture the challenges of delivering primary care in socioeconomically deprived areas that, if not addressed, threaten ambitions to reduce health inequalities. We also explore ways in which a Deep End network could support delivery of more effective primary care. In-depth interviews were conducted between September 2020 and April 2021 with 15 practitioners working in Deep End general practices in North East and North Cumbria. We find that the Deep End metaphor is apposite: it is the volume of clinical and social patient need that creates burdens for Deep End practitioners. We also find a severe mismatch between the demands of caring for Deep End communities and the fantasy paradigm that expects GPs to address health inequalities while failing to redistribute resources to areas of greatest need. We identify practitioners’ hopes for a Deep End network that delivers initiatives tailored to patients’ needs, gives a name to their struggles, and advocates for wider healthcare system recognition of deprivation, and a funding formula that recognises need.
Polynomial stabilizations for wave equations with positive definite kernels and boundary frictional damping

This paper is concerned with stabilizations of wave equations with variable coefficients, subject to positive definite kernels and boundary frictional damping. Here, the memory kernel can be sign‐varying and the boundary of the domain does not need to satisfies the “geometric control condition. ” Under some appropriate assumptions on memory kernel, we establish the polynomial stabilizations. Meanwhile, the decay result shows that the memory damping plays the dominant role in the stabilizations of the system with both memory damping and boundary frictional damping.
Sur les groupes de Lie formels à un paramètre

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On some problems concerning a restricted random walk

A particle that is located at the position (0, 0) in the (x, y) plane at the moment x = 0 is subjected to random impulses at the moments of time x = 1, 2, …, a + b. As the result of each impulse, the particle may be displaced either by a positive or by a negative step with respect to the y-axis; it is given that the particle is restricted by the condition that it has exactly a positive and b negative displacements. Hence in the (x, y) plane the path of the particle at each impulse is depicted by a shift of a unit to the right and by one unit upward or downward; that is the particle's path starts at (0, 0) and terminates at (a + b, a – b) after a + b steps. We assume that all possible different paths are equally probable, and assume also, without loss of generality, that a ≧ b.
Inflation Strikes Back: The Role of Import Competition and the Labor Market

Jennifer La’O opened the discussion asking whether, in the model, import price shocks are isomorphic to productivity or markup shocks. Understanding the nature of the shock matters for policy implications. For example, if the import price shock is as a negative productivity shock, the Federal Reserve should aggressively fight inflation which generates a recession. Hence, to make a statement on whether the Federal Reserve reacts too aggressively or not to the import price shocks, it is necessary to understand the nature of the import price shocks. The authors thanked Jennifer La’O for the comment and explained that the import price shocks are isomorphic to productivity shocks in the model.
Vitamin D deficiency contributes to development of nasal polyps in Iraqi patients suffering from chronic rhinosinusitis

Chronic rhinosinusitis is a disease of the upper respiratory truck of unknown origin, characterized by chronic inflammation of the lining epithelium of nasal and paranasal air sinuses. There are two main phenotypes, chronic rhinosinusitis without polyps and chronic rhinosinusitis with polyps’ development. Several reports highlighted the importance of vitamin D in the pathogenesis of chronic
Metabotropic Effect of Probiotic Supplementation and High-Intensity Interval Training in Menopause-Induced Metabolic Syndrome in Rats

Objectives This study aimed to investigate the interactive effect of supplementation with a native potential probiotic lactobacillus and 8-week high-intensity interval training (HIIT) on insulin resistance and dyslipidemia in a menopause-induced metabolic syndrome. Methods A total of 40 ovariectomized (OVX) Wistar rats were divided into five groups: control (OVX + Vehicle), exercise (EXE) (OVX + Exe), probiotic (Prob) (OVX + Prob), exercise and probiotic (OVX + Exe + Prob), and sham surgery. After the end of the treatment interventions, body weight, body mass index (BMI), waist circumference (WC), visceral fat, and serum concentrations of glucose, insulin, lipid profile, and adiponectin were measured using colorimetric analysis and enzyme-linked immunosorbent assay, respectively. Results Data revealed a significant decrease in weight, waist circumference , visceral fat, BMI, and levels of glucose, insulin, homeostasis model assessment of insulin resistance, triacylglyceride, total cholesterol, and low-density lipoprotein (LDL), but an increase in high-density lipoprotein and adiponectin levels (P = 0.001), in OVX + Exe + Prob compared with the OVX + Vehicle group. Conclusions The present study indicates that native probiotic lactobacillus combined with HIIT effectively reduces body weight, visceral fat, and levels of LDL, glucose, and insulin and increases adiponectin level, although exercise contributes more to fat reduction and probiotics to insulin resistance.
Antimicrobial Resistance Is Prevalent in E. coli and Other Enterobacterales Isolated from Public and Private Drinking Water Supplies in the Republic of Ireland

High levels of bacterial antimicrobial resistance (AMR) have been reported in many environmental studies conducted in Ireland and elsewhere. The inappropriate use of antibiotics in both human and animal healthcare as well as concentrations of residual antibiotics being released into the environment from wastewaters are thought to be contributing factors. Few reports of AMR in drinking water-associated microbes are available for Ireland or internationally. We analysed 201 enterobacterales from group water schemes and public and private water supplies, only the latter having been surveyed in Ireland previously. The organisms were identified using conventional or molecular techniques. Antimicrobial susceptibility testing for a range of antibiotics was performed using the ARIS 2X interpreted in accordance with EUCAST guidelines. A total of 53 Escherichia coli isolates, 37 Serratia species, 32 Enterobacter species and enterobacterales from seven other genera were identified. A total of 55% of isolates were amoxicillin resistant, and 22% were amoxicillin-clavulanic acid resistant. A lower level of resistance (<10%) was observed to aztreonam, chloramphenicol, ciprofloxacin, gentamicin, ceftriaxone and trimethoprim-sulfamethoxazole. No resistance to amikacin, piperacillin/tazobactam, ertapenem or meropenem was detected. The level of AMR detected in this study was low but not insignificant and justifies ongoing surveillance of drinking water as a potential source of antimicrobial resistance.
Nutrition Knowledge, Attitudes, and Practices (KAPs) among Jordanian Elderly—A Cross-Sectional Study

Nutrition knowledge, attitudes, and good practices are essential for preventing malnutrition, ensuring good health, and maintaining life quality. However, to the best of our knowledge, no studies have been published on the nutritional knowledge, attitudes, and practices (KAPs) of Jordanian older people. For this reason, our study aimed to assess the KAPs in the Jordanian elderly. A cross-sectional survey was conducted among 1200 people aged 60 and over. The results revealed that 52.8% of participants had poor knowledge, 52.7% had negative attitude scores, and 72.6% had poor practices. Significant differences were found between the three regions in the KAP prevalence (p < 0.001). The northern region had a higher prevalence of nutritionally poor knowledge (65.6%) compared to 52.5% and 40.4% for the central and southern regions, respectively. Participants from the central region had a higher prevalence of a positive attitude (55.4%), whereas the northern and the southern participants had a higher prevalence of a negative attitude (65.6% and 54.4%, respectively). All regions reported poor practices, yet, significantly, the northern regions had the highest prevalence of poor practices. Participants with a low educational level reported a significantly higher prevalence of poor knowledge, negative attitudes, and poor practices compared to participants with a high educational level. The results obtained underline the importance of taking into account the lack of nutrition-related KAPs among the elderly in Jordan. It is crucial to raise awareness on this issue and to implement the national nutrition strategy, with particular attention paid to the elderly. Concrete measures must be taken to ensure that the nutritional needs of older people are met and to improve their quality of life.