Miracle-dz/UniFAR-FTUs huggingface dataset:
Alignment of Nutri-Score with Mediterranean Diet Pyramid: A Food Level Analysis

The Mediterranean diet (MD) has been incorporated as a healthy diet pattern in food-based dietary guidelines of countries all over Europe and the world. Testing the alignment of Nutri-Score with the MD Pyramid is a key step in ensuring that future food-level policies will not be conflicting with existing dietary guidelines. All foods available (n = 4002) in the HelTH database, were classified as eligible or not for inclusion in the MD and they were ranked in their respective tier in the food pyramid following two pyramid schemes, the 1995 traditional and 2020 sustainable MD pyramids. For all foods, Nutri-Score was calculated both as the continuous FSAm-NPS score and its categorical outcome—Nutri-Score grades—and their distribution across the MD pyramid tiers was used as a measure of alignment between the MD and the Nutri-Score algorithm. Only 25% of all foods were eligible under the traditional MD, while the sustainable MD covered ~58% of all foods. For both pyramids, Nutri-Score was successful in clearly separating the foods at the top and the bottom of the pyramids (Nutri-Score Mode “D” or “E” for the top tiers and “A” for the bottom tiers), thus suggesting a good alignment between the two. Good discriminatory capacity was also seen within each tier.
CS-433 Machine Learning - Classification of ordinal outcomes for the analysis of injury severity using machine learning methods

—In this project, we performed ordinal classification in order to predict injury severity in car accidents. To compare different models we introduced 3 evaluation metrics: discrete classification metrics, GMPCA and QWK. We evaluated different data processing methods: standardization, age binning and upsampling. We evaluate different machine learning models: a basic FeedForward Net, added Weight Regularization, also a Poisson PMF layer, and different loss functions: MSE, MAE, cross-entropy and weighed cross-entropy and a ordinal approach. The FeedForward Network for Ordinal Classification using MSE and only standardization for pre-processing performed the best overall. We could achieve 87.13% test accuracy, 0.717 GMPCA and 0.783 QWK. The achieved accuracy is 3% better than the previous model from [1].
Cell Phenotype Classification Based on Joint of Texture Information and Multilayer Feature Extraction in DenseNet

Cell phenotype classification is a critical task in many medical applications, such as protein localization, gene effect identification, and cancer diagnosis in some types. Fluorescence imaging is the most efficient tool to analyze the biological characteristics of cells. So cell phenotype classification in fluorescence microscopy images has received increased attention from scientists in the last decade. The visible structures of cells are usually different in terms of shape, texture, relationship between intensities, etc. In this scope, most of the presented approaches use one type or joint of low-level and high-level features. In this paper, a new approach is proposed based on a combination of low-level and high-level features. An improved version of local quinary patterns is used to extract low-level texture features. Also, an innovative multilayer deep feature extraction method is performed to extract high-level features from DenseNet. In this respect, an output feature map of dense blocks is entered in a separate way to pooling and flatten layers, and finally, feature vectors are concatenated. The performance of the proposed approach is evaluated on the benchmark dataset 2D-HeLa in terms of accuracy. Also, the proposed approach is compared with state-of-the-art methods in terms of classification accuracy. Comparison of results demonstrates higher performance of the proposed approach in comparison with some efficient methods.
Disseminated Human Subarachnoid Coenurosis

Background: Traditionally, human coenurosis has been ascribed to Taenia multiceps while neurocysticercosis has been attributed solely to Taenia solium infection. Historically, however, the identification and differentiation of cestodal infection was primarily based on inaccurate morphological criteria. With the increasing availability of molecular methods, the accuracy of identification of the larval cestode species has improved, and cestodal species not typically associated with central nervous system (CNS) infection are now being identified as aetiological agents. Case report: We present a case of a 5-year-old male patient who presented with acute hydrocephalus. Initial MRI revealed multiple cysts in the cerebrospinal fluid (CSF) spaces with a predominance of clumped grape-like cysts in the basal cisterns with resultant acute obstructive hydrocephalus. The child underwent an emergency ventriculo-peritoneal (VP) shunt. A presumptive diagnosis of neurocysticercosis racemosus was made and the child was started on empiric albendazole (15 mg/kg/day) and praziquantel (30 mg/kg/day) treatment, along with concomitant prednisone (1 mg/kg) treatment. Despite prolonged anti-helminthic therapy, the child continued to deteriorate, and endoscopic removal of the 4th ventricular cysts was required. Post-operative MRI revealed radiological improvements, with a reduction in the number and size of cysts, especially in the basal cisterns, with no cysts visualized in the fourth ventricle. DNA was extracted from CSF and cyst tissue using the QiAMP DNA mini kit (Qiagen). The PCR performed on the extracted DNA displayed a band of 275 bp on an agarose gel. The consensus sequence had 97.68% similarity to Taenia serialis 12S ribosomal RNA gene. The child, unfortunately, continued to do poorly, requiring multiple VP shunt revisions for repeated blockage of the VP shunt system, and ultimately demised, despite the ‘successful’ surgical intervention and continued maximal medical management. Discussion and conclusions: There have been approximately 40 reported cases of human CNS coenurosis, with the assumed etiological agent being confined to T. multiceps. In 2020, the first case of human CNS coenurosis caused by T. serialis was reported. This case involved a single parenchymal lesion in the occipital lobe, which, following complete surgical excision, was confirmed to be T. serialis by mitochondrial gene sequencing. The case we present is the first case of disseminated subarachnoid coenurosis caused by T. serialis. It appears that T. serialis infection can mimic either of the two basic pathological forms of neurocysticercosis, namely, cysticercosis cellulosae or cysticercosis racemosus. We postulate that the term coenurosis racemosus is applicable if CNS T. serialis infection presents with extensive, multiple grape-like bladders proliferating within the subarachnoid space.
Design of Nanostructured Hybrid Electrodes Based on a Liquid Crystalline Zn(II) Coordination Complex-Carbon Nanotubes Composition for the Specific Electrochemical Sensing of Uric Acid

A metallomesogen based on an Zn(II) coordination complex was employed as precursor to obtain a complex matrix nanoplatform for the fabrication of a high-performance electrochemical hybrid sensor. Three representative paste electrodes, which differ by the weight ratio between Zn(II) metallomesogen and carbon nanotubes (CNT), i.e., PE_01, PE_02 and PE_03, were obtained by mixing the materials in different amounts. The composition with the largest amount of CNT with respect to Zn complex, i.e., PE_03, gives the best electrochemical signal for uric acid detection by cyclic voltammetry in an alkaline medium. The amphiphilic structure of the Zn(II) coordination complex likely induces a regular separation between the metal centers favoring the redox system through their reduction, followed by stripping, and is characterized by enhanced electrocatalytic activity towards uric acid oxidation. The comparative detection of uric acid between the PE_03 paste electrode and the commercial zinc electrode demonstrated the superiority of the former, and its great potential for the development of advanced electrochemical detection of uric acid. Advanced electrochemical techniques, such as differential-pulsed voltammetry (DPV) and square-wave voltammetry (SWV), allowed for the highly sensitive detection of uric acid in aqueous alkaline solutions. In addition, a good and fast amperometric signal for uric acid detection was achieved by multiple-pulsed amperometry, which was validated by urine analysis.
Passion for Violently Themed Music and Psychological Well-Being: A Survey Analysis

While the benefits to mood and well-being from passionate engagement with music are well-established, far less is known about the relationship between passion for explicitly violently themed music and psychological well-being. The present study employed the Dualistic Model of Passion to investigate whether harmonious passion (i.e., passionate engagement that is healthily balanced with other life activities) predicts positive music listening experiences and/or psychological well-being in fans of violently themed music. We also investigated whether obsessive passion (i.e., uncontrollable passionate engagement with an activity) predicts negative music listening experiences and/or psychological ill-being. Fans of violently themed music (N = 177) completed the passion scale, scale of positive and negative affective experiences, and various psychological well- and ill-being measures. As hypothesised, harmonious passion for violently themed music significantly predicted positive affective experiences which, in turn, predicted psychological well-being. Obsessive passion for violently themed music significantly predicted negative affective experiences which, in turn, predicted ill-being. Findings support the Dualistic Model of Passion, and suggest that even when music engagement includes violent content, adaptive outcomes are often experienced. We propose that the nature of one’s passion for music is more influential in predicting well-being than the content or valence of the lyrical themes.
Thermodynamics and Electrochemistry of the Interaction of Sphalerite with Iron (II)-Bearing Compounds in Relation to Flotation

The flotation recovery of sphalerite depends on the inorganic reagents concentrations in the liquid phase of suspension and pH. This paper presents the results of studies of the interactions of iron (II) containing ions with the sphalerite surface in water solutions at different pH levels. The thermodynamic and electrochemical studies were carried out to analyze possible interactions of sphalerite with iron (II) sulfate in a water environment and relate them to sphalerite flotation with potassium butyl xanthate and sodium dibutyl dithiophosphate. The results of the thermodynamic calculations revealed the possibility of interaction of the sphalerite surface with iron (II) hydrolysis products. The effect of the hydroxide ions concentration on precipitation of iron (II) hydroxides was examined. The findings showed that at pH = 8 there were no precipitates observed in water solutions of FeSO4. Increasing pH of the solutions from 8 to 12 resulted in the formation of iron (II) hydroxides. The potentiometric studies revealed that in slightly alkaline solutions the Fe2+ and FeOH+ cations are potential-determining. In conclusion, the flotation tests with thiol collectors show the activation effect of iron (II) sulphate on sphalerite at low dosage and pH 12. This is evident by a higher flotation recovery of sphalerite at these conditions.
Prevalence of Bovine Schistosomiasis and Associated Risk Factors in Tis Abay District, Northwest Ethiopia

Background Schistosomiasis is a parasitic disease of cattle that is caused by trematode worms and results in morbidity, mortality, reduced fertility, and productivity. Methods A cross-sectional study was conducted to determine the prevalence and associated risk factors for bovine schistosomiasis in Tis Abay district, Amhara, Ethiopia. Fecal samples were collected from 384 randomly selected cattle and examined using the sedimentation technique. Results Of the total examined fecal samples, 13.02% (50/384) of the samples were positive for Schistosoma bovis eggs. The prevalence of schistosomiasis was highly reported in Dasra (22.4%), which was statistically significant (p ≤ 0.001). The prevalence of bovine schistosomiasis was higher in females (16.9%), crossbred cattle (17.1%), poorly conditioned cattle (37.1%), extensively managed cattle (17.9%), and cattle greater than 5 years old (23.1%). The multivariate analysis of factors revealed that study area, age, breed, body condition, and management system have a significant role (p < 0.05) in the prevalence of bovine schistosomiasis. Conclusion Schistosoma infection is a problem for cattle in the study region. Therefore, farmers should be aware of the transmission of the disease, prevention, and control of snails.
Project-Based Hybrid Learning; Effectiveness, Quality of Writing A Thesis Proposal, Independence, and Learning Satisfaction

During the COVID-19 pandemic, it is suspected that educational institutions are facing a decline in the quality of learning because learning cannot take place face-to-face, and teaching materials and learning models applied are still conventional. The purpose of this study is to determine the effectiveness of the application of project-based hybrid learning in improving the quality of writing thesis proposals for students of the Medan State University (Unimed) Business Education Study Program and see the impact of accompaniment to learning independence and student learning satisfaction. This research method applies quasi-experimental with posttest control group design for experimental and control classes. The research population of all students currently attending the Research Methodology lecture in 2021 is 51, consisting of two classes (A & B). The sample was determined by random sampling, with class A as the experimental class of 26 people and class B as the control class of 25 people. Experimental classes are taught with project-based hybrid learning through Google meet and LMS, and control classes are taught with conventional learning through asynchronous LMS. All participants were tasked with compiling a thesis proposal after finishing the treatment. The difference in the average results of the assessment of the thesis proposals of the two classes was carried out with the Mann-Whitney test because the data were not normally distributed. The results of this study show that the application of project-based hybrid learning is effective in improving the quality of writing thesis proposals, independence, and learning satisfaction.
Vibration And Stability Of A Rotating Shaft Containing A Transverse Crack

Abstract The dynamic response of a rotating shaft containing a transverse crack is investigated. The local flexibility due to the crack is first evaluated from the theory of fracture mechanics. The energy principle in conjunction with the assumed mode method yields the discretized equations of motion; these are time-varying with periodic coefficients due to the "breathing" effect. The steady state responses and the stability criteria are then obtained, and the effects of crack depth, crack location and rotational speed are discussed. The results show that an increase of crack depth magnifies the response amplitude as expected. It is discovered that the crack affects the dynamic response more significantly when it occurs near a place where the bending moment exhibits a larger value. From the FFT analysis of the displacement responses, it is seen that the 1Ω and 2Ω components are excited prominently due to crack. Hence they provide possibly good indices for an on-line crack monitoring system. The stability of a cracked shaft is examined via the Floquet theory, and the results show that, for an undamped shaft, instability occurs as rotation is close to an integer fraction or an integer multiple of the shaft bending frequency when the crack depth reaches half of the radius. However, a small amount of damping is found to raise effectively the unstable region.
Posttraumatic Growth and Posttraumatic Depreciation: Associations with Core Beliefs and Rumination

Background: The positive transformation (i.e., posttraumatic growth, PTG) that can emerge after the struggles associated with a stressful life event has been widely investigated. However, less attention has been paid to the negative posttraumatic changes (i.e., posttraumatic depreciation, PTD) that might occur after a traumatic experience. This study aimed to investigate the role of a series of psychological factors (e.g., disruption of core beliefs, rumination, and depressive symptoms) in predicting PTG and PTD, separately considered. Methods: To reach this goal, 601 participants who experienced different types of traumatic events were recruited. They were asked to indicate sociodemographic and trauma-related information and to complete self-report measures assessing PTG/PTD, core beliefs, rumination, and depressive symptoms. Results: The results of regression analyses showed that gender, age, time since the trauma, core beliefs, deliberate/intrusive rumination, and depressive symptoms were significant predictors of PTG. Conversely, core beliefs, intrusive rumination, and depressive symptoms were found to be positively related to PTD. Conclusions: Taken together, these findings highlight the role that different psychological factors may play in the manifestation of the PTG and/or PTD dimensions. From a clinical perspective, professionals should pay attention to these factors when a person struggles in coping with a highly stressful experience.
Factors associated with disease severity of COVID‑19 in patients with type 2 diabetes mellitus

Diabetes mellitus causes a decline in immunological function, an increase in proinflammatory cytokines, and a prothrombotic state, thus providing risk factors for the severity of coronavirus disease 2019 (COVID-19) in patients with type 2 diabetes mellitus (T2DM). The aim of the present study was to analyze the risk factors associated with the severity of COVID-19 in patients with T2DM. A cross-sectional observational study was performed on 201 patients with T2DM from May 1 to August 31, 2020 and admitted to the isolation ward of Dr Soetomo General Hospital (Surabaya, Indonesia). The patients were divided into severe (108 cases; 53.7%) and non-severe (93 cases; 46.3%) groups, which were considered the dependent variables. Univariate and multivariate analysis was performed. The independent variables were age, sex, diabetes onset, chronic complications, presence of hypertension, randomized blood glucose, HbA1c, albumin, and neutrophil-lymphocyte ratio (NLR). A P-value <0.05 was considered to be statistically significant. The median age of the 201 subjects was 56 years, with 70.1% <60 years old, 52.7% male, 76.1% with diabetes onset <10 years, and 108 patients (53.7%) in severe condition. The results of the bivariate analysis revealed that diabetes onset >10 years (OR 2.5; P=0.011) was associated with severity of COVID-19 in patients with T2DM, however hypoalbumin (OR 1.93; P=0.054) was not associated with disease severity. Furthermore, multivariate analysis revealed that male sex (OR 2.07; P=0.042), age (≥60 years) (OR 2.92; P=0.008), HbA1c (≥8%) (OR 3.55; P=0.001), hypertension (OR 4.07; P=0.001), and an NLR ≥7.36 (OR 6.39; P=0.001) were associated with severe COVID-19. Collectively, it was revealed that increased NLR, hypertension, poor glycemic control, older age, and male sex were risk factors associated with the severity of COVID-19 among diabetic patients.
Full Particle-In-Cell Simulation Methodology for Axisymmetric Hall Effect Thrusters

A fully kinetic plasma simulation based upon the particle-in-cell and Monte Carlo collision methodologies was developed to model axisymmetric closed-drift Hall effect thruster discharges. The simulation captures two dimensions in space and three in velocity. All species are modeled as particles. The electric field is solved by Gauss’s law. Electron transport mechanisms include anomalous diffusion, classical diffusion, and wall effects including secondary electron emission. To accelerate the simulation, an artificial ion to electron mass ratio is assumed. An artificial vacuum permittivity is also assumed. The simulation captures many physical features of the discharge, including wall effects and breathing mode oscillations. Thrust is predicted to within 5% and current is predicted to within 16%. A two-temperature electron energy distribution with non-Maxwellian features is also predicted. Axial profiles of plasma density, potential, and temperature compare well with measurements taken with probes embedded .
Stochastic inequalities for an overflow model

A general method to obtain insensitive upper and lower bounds for the stationary distribution of queueing networks is sketched. It is applied to an overflow model. The bounds are shown to be valid for service distributions with decreasing failure rate. A characterization of phase-type distributions with decreasing failure rate is given. An approximation method is proposed. The methods are illustrated with numerical results.
A high-resolution survey of interstellar Na I D1 lines

We present high-resolution (0.5 km/s) spectra, obtained with the McDonald Observatory 2.7 m coude echelle spectrograph, of interstellar Na I D1 absorption toward 38 bright stars. Numerous narrow, closely blended absorption components, showing resolved Na I hyperfine structure, are evident in these spectra; such narrow components appear in both low halo and quite local gas, as well as in gas toward more distant disk stars. We have used the method of profile fitting in an attempt to determine column densities, line widths, and velocities for the individual interstellar clouds contributing to the observed absorption lines. The resulting sample of 276 clouds is significantly larger, and likely more complete, than several previous samples of 'individual' interstellar clouds, and allows more precise investigation of various statistical properties. We find that the cloud column density (N) and line width parameter (b) are not correlated, for 0.3 km/s approximately less than b approximately less than 1.5 km/s and 10.0/sq cm approximately less than log (N(Na I)) approximately less than 11.6/sq cm. The median b is about 0.73 km/s, the median log N is about 11.09/sq cm, and the median separation between adjacent components is about 2.0 km/s. All these are overestimates of the true median values, however, due to our inability to completely resolve all the component structure present in some cases; even at a resolution of 0.5 km/s, we may have discerned only 60% of the full number of individual components actually present. The one-dimensional dispersion of component velocities, in the local standard of rest, is approximately 8.6 km/s; the distribution of velocities is broader and displaced to more negative velocities for the weaker components. If 80 K is a representative temperature for the interstellar clouds seen in Na I absorption, then at least 38% (and probably the majority) of the clouds have subsonic internal turbulent motions. The range in N(H I) observed at a given N(Na I) increases as N(Na I) decreases below about 10(exp 11)/sq cm, so that N(Na I) becomes a less reliable predictor of N(H I) at low column densities. These spectra will be quite useful in future detailed studies of these lines of sight with the Hubble Space Telescope (HST) Goddard High Resolution Spectrograph (GHRS) echelle -- to determine accurate velocities and to reveal the detailed interstellar component structures that cannot be discerned at the 3.5 km/s resolution available with the GHRS.