Miracle-dz/UniFAR-FTUs huggingface dataset:
Detecting dengue fever in children using online Rasch analysis to develop algorithms for parents: An APP development and usability study

Background: Dengue fever (DF) is a significant public health concern in Asia. However, detecting the disease using traditional dichotomous criteria (i.e., absent vs present) can be extremely difficult. Convolutional neural networks (CNNs) and artificial neural networks (ANNs), due to their use of a large number of parameters for modeling, have shown the potential to improve prediction accuracy (ACC). To date, there has been no research conducted to understand item features and responses using online Rasch analysis. To verify the hypothesis that a combination of CNN, ANN, K-nearest-neighbor algorithm (KNN), and logistic regression (LR) can improve the ACC of DF prediction for children, further research is required. Methods: We extracted 19 feature variables related to DF symptoms from 177 pediatric patients, of whom 69 were diagnosed with DF. Using the RaschOnline technique for Rasch analysis, we examined 11 variables for their statistical significance in predicting the risk of DF. Based on 2 sets of data, 1 for training (80%) and the other for testing (20%), we calculated the prediction ACC by comparing the areas under the receiver operating characteristic curve (AUCs) between DF + and DF− in both sets. In the training set, we compared 2 scenarios: the combined scheme and individual algorithms. Results: Our findings indicate that visual displays of DF data are easily interpreted using Rasch analysis; the k-nearest neighbors algorithm has a lower AUC (<0.50); LR has a relatively higher AUC (0.70); all 3 algorithms have an almost equal AUC (=0.68), which is smaller than the individual algorithms of Naive Bayes, LR in raw data, and Naive Bayes in normalized data; and we developed an app to assist parents in detecting DF in children during the dengue season. Conclusion: The development of an LR-based APP for the detection of DF in children has been completed. To help patients, family members, and clinicians differentiate DF from other febrile illnesses at an early stage, an 11-item model is proposed for developing the APP.
Effects of different weight loss dietary interventions on body mass index and glucose and lipid metabolism in obese patients

To investigate the effects of different weight loss interventions on body mass index (BMI) and glucose and lipid metabolism in obese patients. Obese patients (n = 135) admitted to our hospital between December 2020 and August 2022 were divided into 3 groups, according to their diet patterns: calorie-restricted diet (CRD) group (n = 39), high-protein diet (HPD) group (n = 28), and 5 + 2 intermittent fasting (IF) group (n = 68). Body weight, body fat rate, BMI, hip circumference, and waist circumference were measured before and 60 days after implementation of the respective diet plan. Glycosylated hemoglobin (HbA1c), fasting blood glucose (FBG), 2h postprandial blood glucose (2hPG), triglyceride (TG), total cholesterol, low-density lipoprotein, high-density lipoprotein, and adverse events were evaluated. Following the dietary intervention, the weight (P = .005 for CRD, P < .001 for HPD, and P = .001 for IF), body fat rate (P = .027 for CRD, P = .002 for HPD, and P = .011 for IF group), BMI (P = .017 for CRD, P < .001 for HPD, and P = .002 for IF group), hip circumference (P < .001 for CRD, P = .013 for HPD, and P = .032 for IF group), waist circumference (P = .005 for CRD, P < .001 for HPD, and P = .028 for IF group), HbA1c (P = .014 for CRD, P = .002 for HPD, and P = .029 for IF group), FBG (P = .017 for CRD, P < .001 for HPD, and P = .033 for IF group), and 2hPG (P = .009 for CRD, P = .001 for HPD, and P = .012 for IF group), were significantly decreased. TG (P = .007 for CRD, P < .001 for HPD, and P = .018 for IF group), TC (P = .029 for CRD, P = .013 for HPD, and P = .041 for IF group), LDL-C (P = .033 for CRD, P = .021 for HPD, and P = .042 for IF group), and LDL-C (P = .011 for CRD, P < .001 for HPD, and P = .027 for IF group) improved significantly in the 3 groups, when compared to that before treatment. The HPD had the best effect on reducing blood lipids, followed by the CRD; the effect of IF was slightly lesser. Short-term HPD, CRD, and IF can reduce the weight and body fat of overweight/obese individuals and improve blood lipid and blood sugar levels. The effect of HPD on weight loss, body fat, and blood lipid levels was greater than that of CRD or IF.
Multimodal job interview simulator for training of autistic individuals

ABSTRACT Autistic individuals face difficulties in finding and maintaining employment, and studies have shown that the job interview is often a significant barrier to obtaining employment. Prior computer-based job interview training interventions for autistic individuals have been associated with better interview outcomes. These previous interventions, however, do not leverage the use of multimodal data that could give insight into the emotional underpinnings of autistic individuals’ challenges in job interviews. In this article, the authors present the design of a novel multimodal job interview training platform called CIRVR that simulates job interviews through spoken interaction and collects eye gaze, facial expressions, and physiological responses of the participants to understand their stress response and their affective state. Results from a feasibility study with 23 autistic participants who interacted with CIRVR are presented. In addition, qualitative feedback was gathered from stakeholders on visualizations of data on CIRVR’s visualization tool called the Dashboard. The data gathered indicate the potential of CIRVR along with the Dashboard to be used in the creation of individualized job interview training of autistic individuals.
Study on the predictive value of serum hypersensitive C-reactive protein, homocysteine, fibrinogen, and omentin-1 levels with gestational diabetes mellitus

Abstract Objective: To investigate whether hypersensitive C-reactive protein (Hs-CRP), homocysteine, fibrinogen, and omentin-1 could predict gestational diabetes mellitus (GDM) risk. Methods: Case–control study was conducted at Hengshui People’s Hospital. The GDM group included data about 150 patients aged between 22 and 35 years in 24–28 weeks. An equivalent comparative control group without GDM was composed of the same pool of patients. Body mass index (BMI), total cholesterol (TC), triglyceride, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), oral glucose tolerance test (OGTT) 0–2h, hs-CRP, homocysteine, fibrinogen, and omentin-1 levels were studied in the serum samples of research groups. Univariate logistic regression analysis was used to explore the risk factors of GDM. The area under the curve (AUC) was calculated by the receiver operating characteristic curve (ROC) to analyze the predictive values. Results: Hs-CRP, homocysteine, and fibrinogen in GDM group were significantly higher than those in non-GDM group. Omentin-1 were significantly lower than those in non-GDM group. Logistic regression showed that hs-CRP, homocysteine, fibrinogen, and omentin-1 were risk factors for GDM. The AUC of the established GDM risk prediction model was 0.977, and the sensitivity and specificity were 92.10% and 98.70%, respectively; which were greater than that of hs-CRP, homocysteine, fibrinogen, and omentin-1 alone. Conclusions: Hs-CRP, homocysteine, fibrinogen, and omentin-1 in pregnancy have important clinical value for the prediction of GDM. We used these laboratory indications to establish a GDM risk prediction model that allows for early detection and treatment of GDM, lowering the morbidity of maternal and infant complications.
Diversity of Profiles and Coping Among Adolescent Girl Victims of Sexual Dating Violence

ABSTRACT Sexual dating violence (DV) is common among female adolescents, and victims may experience other forms of DV (physical, psychological, and cyberviolence) and report a history of child sexual abuse (CSA). Heterogeneity of these victimization experiences could influence how adolescent girls’ cope. We aimed to identify distinct profiles of victimization experiences among adolescent girls who reported sexual DV and to explore if these profiles were associated to their coping strategies. Of an initial sample of 1,300 female adolescents who completed online questionnaires, 835 (Mage = 16.8 years) reported at least one experience of sexual DV and were included in the analyses. Hierarchical classification with the Two Step analysis revealed four distinct profiles of victimization. A first cluster named Moderate CSA & Cyber-sexual DV (21.4%) is characterized by moderate percentage of all forms of victimization. The second cluster CSA & DV excluding cyber-sexual DV (34.4%) included victims of traditional DV, moderate rates of CSA and no experience of cyber-sexual DV. A third cluster CSA & DV Co-occurrence (20.6%) regrouped victims who have experienced different forms of DV in co-occurrence and CSA. Finally, the fourth cluster, named No CSA & DV Co-occurrence (23.6%) involved victims who have experienced different forms of DV in co-occurrence, but did not report a history of CSA. Analyses revealed significant differences between the profiles on the use of avoidance coping, in their perceived social support, and on help-seeking strategies deployed toward a partner and a health professional. These findings offer cues for prevention and intervention efforts for victimized female adolescents.
Method for the Collection and HPLC Analysis of Hydrogen Peroxide and Cl and C2 Hydroperoxides in the Atmosphere

Abstract An HPLC (high-performance liquid chromatography) method was developed to quantify hydrogen peroxide, methyl hydroperoxide. Hydroxymethyl hydroperoxide, ethyl hydroperoxide, and peroxyaectic acid in the atmosphere. Gas-phase hydroperoxides are collected in aqueous solution using a continuous-flow glass scrubbing coil and then analyzed by an HPLC postcolumn derivatization system. The detection system is based on fluorescence, produced by the product of the reaction of hydroperoxides with peroxidase and p-hydroxyphenylacetic acid. Reproducibilities are better than 3% for all hydroperoxides in aqueous concentrations of 1 × 10−7–6 × 10−7 M. Detection limits in aqueous concentration are 1.2 × 10−9 M for hydrogen peroxide, 1.5 × 10−9 M for hydroxymethyl hydroperoxide, 2.9 × 10−9 M for methyl hydroperoxide, 16 × 10−9 M for peroxyaectic acid, and 19 × 10−9 M for ethyl hydroperoxide. Corresponding gas-phase detection limits are 5 PPtv for hydrogen peroxide, 7 pptv for hydroxymethyl hydroperoxide, 13 pptv f.
Detection of ADHD from EEG signals using new hybrid decomposition and deep learning techniques

Objective. Attention deficit hyperactivity disorder (ADHD) is considered one of the most common psychiatric disorders in childhood. The incidence of this disease in the community draws an increasing graph from the past to the present. While the ADHD diagnosis is basically made with the psychiatric tests, there is no active clinically used objective diagnostic tool. However, some studies in the literature has reported development of an objective diagnostic tool that facilitates the diagnosis of ADHD. Approach. In this study, it was aimed to develop an objective diagnostic tool for ADHD using electroencephalography (EEG) signals. In the proposed method, EEG signals were decomposed into subbands by robust local mode decomposition and variational mode decomposition techniques. These subbands and the EEG signals were fed as input data to the deep learning algorithm designed in the study. Main results. As a result, an algorithm has been put forward that distinguishes over 95% of ADHD and healthy individuals through using a 19-channel EEG signal. In addition, a classification accuracy of over 87% was obtained by the proposed approach of EEG signal decomposition followed by data processing in the designed deep learning algorithm. Significance. The findings of the current research enrich the literature based on originality and proposed method can be used as a clinical diagnostic tool in the near future.
The effect of photospheric heavy elements on the hot DA white dwarf temperature scale

ABSTRA C T Using the latest non-local thermodynamic equilibrium (non-LTE) synthetic spectra and stellar model calculations, we have evaluated the potential effect of the presence of heavy elements in the photospheres of hot H-rich DA white dwarfs. In particular, we have examined their influence on the effective temperature and surface gravity perceived from analysis of the Balmer line profiles. It is apparent that both the inclusion of non-LTE effects in the models and significant quantities of heavy elements act independently to lower the value of Teff determined from a particular spectrum. Hence, the true effective temperatures of the heavy element-rich DA white dwarfs, currently estimated to be above 55 000 K, are apparently lower than previously reported from pure-H LTE analyses, by some 4000‐7000 K. We do not see any similar influence on measurements of log g. This work concentrates on a group of relatively bright well-studied objects, for which heavy element abundances are known. As a consequence of this, establishment of correct temperatures for all other hot white dwarfs will require a programme of far-UV spectroscopy in order to obtain the essential compositional information. Since only stars with effective temperatures lying notionally in the range from <55 000 to 70 000 K (52 000‐62 000 K when the non-LTE effects and heavy elements are taken into account) have been considered here, important questions remain regarding the magnitude of any similar effects in even hotter white dwarfs and pre-white dwarfs. The resulting implications for the plausibility of the evolutionary link between the main hot DA population and their proposed precursors, the H-rich central stars of planetary nebulae, need to be investigated.
The role of HIV as a risk modifier for coronary endothelial function in young adults

People living with HIV have an increased risk of cardiovascular disease (CVD). Although coronary endothelial function (CEF) is an early direct indicator of CVD, only a few studies have been able to interrogate CEF directly. Most studies have examined vascular endothelial function through indirect assessment of brachial flow‐mediated dilatation (FMD). However, peripheral arteries are significantly larger and manifest atherogenesis differently from the coronary arteries, and so produce conflicting results. Additionally, none of these studies focused on young adults who acquired HIV perinatally or in early childhood.
Molecular confirmation of HIV-1 and HIV-2 coinfections among initially serologically dually-reactive samples from patients living in West Africa

Objectives This study aimed to confirm the co-infection with HIV-1 and HIV-2, among West African patients using in-house HIV type/group enzyme-immuno assays and molecular diagnosis. Design A cross-sectional survey was conducted from April 2016 to October 2017 in the biggest HIV clinics of Côte d’Ivoire and Burkina Faso. Method A first serological confirmation was done in the referral laboratory using an in-house, indirect immuno-enzymatic essay allowing the qualitative detection of both HIV-1 and HIV-2 antibodies. In order to separately detect anti-HIV-1 and anti-HIV-2 antibodies, a type/group specific enzyme-immuno assay (HIV-GSEIA) was used. To confirm the co-infections, HIV-1 and HIV-2 DNA-qualitative PCR assays were performed. Results A total of 91 patients were enrolled in the study and provided blood sample for HIV type confirmatory testing including 13 (14.3%) HIV-2 mono-reactive and 78 (85.7%) HIV-1/HIV-2 dually-reactive based on the HIV testing National Algorithms. The first serological ELISA confirmatory test performed showed that 80 (78.9%) of the 91 participants were dually-reactive. The HIV-GSEIA performed on these 80 serum samples retrieve one 61 HIV-1/HIV-2 dually-reactive samples. HIV-1 and HIV-2 DNA PCR were performed on 54 of the 61 HIV-1/HIV-2 dually-reactive samples and 46 out of 61 (75.4%) samples were found HIV-1/HIV-2 coinfected. Conclusion The contribution of type/group specific enzyme-immuno assay to accurately identify HIV-1/HIV-2 coinfections remain suboptimal, emphasizing the need for molecular diagnosis platforms in West Africa, to avail HIV DNA PCR test for the confirmation of HIV-1/HIV-2 co-infections.
Resilience, anxiety, depression, and life satisfaction in women suffering from endometriosis: a mediation model

ABSTRACT The main goal of this cross-sectional study was to assess the relationship between resilience and life satisfaction in women suffering from endometriosis and examine anxiety and depression as mediators in this relationship. The study sample included 349 Caucasian women aged from 18 to 56 years (M = 32.94; SD = 6.74) suffering from endometriosis surgically diagnosed and histologically confirmed. The life satisfaction level was assessed by the Satisfaction with Life Scale (SWLS). Unspecific anxiety was evaluated using the General Anxiety Disorder-7 scale (GAD-7). Depression symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). Resilience was measured using the Resilience Assessment Scale (SPP-25). Life satisfaction correlated negatively with anxiety and depression, but positively with resilience. Resilience correlated negatively with anxiety and depression. Anxiety and resilience accounted for 25% of the life satisfaction variance. Depression and resilience explained 35% of the variance in life satisfaction. Among resilience components, personal coping skills, tolerance of negative affect, tolerance of failures and treating life as a challenge, openness to new experiences and a sense of humour, and optimistic life attitude and ability to mobilize in difficult situations were the best predictors of life satisfaction. Anxiety and depression may serve as mediators in the relationship between resilience and life satisfaction. Our results suggested that resilience may be related to life satisfaction in women suffering from endometriosis directly and indirectly as mediated by anxiety and depression.
Improvement of convergence characteristic of ICCG method for the A-/spl phi/ method using edge elements

The effect of the scalar potential /spl phi/ in the A-/spl phi/ method on the convergence characteristic of the incomplete Cholesky conjugate gradient (ICCG) method using the edge element is investigated. Several 3-D eddy current models are analyzed both by taking into account /spl phi/ and neglecting /spl phi/ to compare the convergence characteristics. It is illustrated that the CPU time using /spl phi/ is less than 1/2 of that neglecting /spl phi/, and there are some models in which the use of /spl phi/ enables us to obtain convergent solutions.
The structure of the Small Magellanic Cloud

Dans l'espace des vitesses, il semble y avoir deux entites separees dans la distribution HI du PNM, chacune ayant sa population stellaire et sa population nebulaire propres. Pour delimiter ces regions, on a effectue une photometrie B.V. et IR proche de 61 cepheides
Average Radiative Capture Cross Sections for 7- to 170-kev Neutrons

Measurements of neutron radiative capture cross sections in the kev region were made using fast (millimicrosecond) time-of-flight techniques and a large liquid scintillator tank. Two series of measurements were completed on a number of nuclides. These are determinations of (1) cross sections relative to that of indium at 30 kev and at 65 kev for 49 elements, and (2) cross sections as a function of neutron energy for the following nuclei: Br, Nb, Pd, Ag, Cd, In, Sb, I, Pr, Sm, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, Ta, W, Pt, and Au. Curve fits, using the statistical model, were obtained for Br, Nb, Ag, In, Sb, I, Pr, Tb, Ho, Tm, Lu, Ta, and Au. The results demonstrate the presence of the 2p giant resonance near A = 100 predicted by the optical model. The average nuclear parameters obtained are in good agreement with recent low-energy total cross- section results, but are in poor agreement with earlier results. Possible reasons for these disagreements are discussed. (auth)
Uncertainty quantification in the assessment of human exposure to pulsed or multi-frequency fields

Objective: pulsed fields or waveforms with multi-frequency content have to be assessed with suitable methods. This paper deals with the uncertainty quantification associated to these methods. Approach: among all possible approaches, the weighted peak method (WPM) is widely employed in standards and guidelines, therefore, in this paper, we consider its implementation both in time domain and frequency domain. For the uncertainty quantification the polynomial chaos expansion theory is used. By means of a sensitivity analysis, for several standard waveforms, the parameters with more influence on the exposure index are identified and their sensitivity indices are quantified. The output of the sensitivity analysis is used to set up a parametric analysis with the aim of evaluating the uncertainty propagation of the analyzed methods and, finally, also several measured waveforms generated by a welding gun are tested. Main results: it is shown that the time domain implementation of the weighted peak method provides results in agreement with the basilar mechanisms of electromagnetic induction and electrostimulation. On the opposite, the WPM in frequency domain is found to be too sensitive to parameters that should not influence the exposure index because its weight function includes sharp variations of the phase centered on real zeros and poles. To overcome this issue, a new definition for the phase of the weight function in frequency domain is proposed. Significance: it is shown that the time domain implementation of the WPM is the more accurate and precise. The standard WPM in frequency domain has some issues that can be avoided with the proposed modification of the phase definition of the weight function. Finally, all the codes used in this paper are hosted on a GitHub and can be freely accessed at https://github.com/giaccone/wpm_uncertainty.
The effect of flake thickness on anisotropic SmCo5 nanoflakes/submicron-flakes with high energy product

Establishing an effective process to synthesize anisotropic magnetic nanopowders that have both high energy products and high coercivity is highly desirable for many applications. A recent effort using surfactant-assisted high energy milling is proved to be capable of making SmCo5 nanoflakes/submicron-flakes with high performance. Using the cast alloy as a starting powder, a series of the flakes with various thicknesses were made, which had energy product values up to 22 MGOe and coercivity values up to 21 kOe. The highest coercivity corresponds to a typical flake thickness of 180 nm. The key to our technique is retaining the crystallinity, which allows a high degree of anisotropy to be produced. Results of the analyses from the micrograph of SEM, XRD patterns, and magnetic measurements demonstrate the effect of flake thickness on the magnetic properties. More importantly, a relationship of property-morphology correlation in nanoscale is established for rare earth magnetic powder/flakes.
Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet

Arterial pulse waves (PWs) such as blood pressure and photoplethysmogram (PPG) signals contain a wealth of information on the cardiovascular (CV) system that can be exploited to assess vascular age and identify individuals at elevated CV risk. We review the possibilities, limitations, complementarity, and differences of reduced-order, biophysical models of arterial PW propagation, as well as theoretical and empirical methods for analyzing PW signals and extracting clinically relevant information for vascular age assessment. We provide detailed mathematical derivations of these models and theoretical methods, showing how they are related to each other. Finally, we outline directions for future research to realize the potential of modeling and analysis of PW signals for accurate assessment of vascular age in both the clinic and in daily life.