Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of biochemical , chemical , physical and microbiological quality of tilapia ( O reochromis niloticus ) muscle during 0 and 5 ° C storage

Fishing products are characterized for being highly perishable; therefore, preservation methods are used to retain freshness, quality and extend shelf life. One of the factors that influences most on the loss of freshness, quality and shelf life, is storage temperature. This study evaluated the effect of storage temperature (0 °C and 5 °C) on the quality and shelf life of tilapia (Oreochromis niloticus) muscle during 20 days of storage. Adenosine 5’-triphosphate (ATP) and related compounds, K-value, pH, color, texture, water holding capacity (WHC), total volatile bases (TVB-N), and total count of mesophilic microorganisms were monitored. The results indicated that time and storage temperature had a significant effect (P < 0.05) on K-value, TVB-N, and total count of mesophilic microorganisms. The present study concludes that, by storing tilapia muscle at a lower temperature, a longer shelf life is produced, which implies that the product can be kept with good quality for a longer period of time. Likewise, the edible quality of tilapia muscle was affected by storage temperature, observing a shelf life of 16 days at 0 °C and 8 days at 5 °C.
Photocatalytic degradation of basic and reactive dyes in both single and binary systems using immobilized TiO2

In order to avoid the separation process of fine titanium dioxide (TiO2) photocatalyst at the end of the treatment, a simple and effective method was explored to immobilize TiO2 nanoparticles on a support material. In this paper, the effectiveness of using immobilized TiO2 supported on glass plates to remove Basic Blue 3 (BB3) and Reactive Orange (RO16) from single and binary dye solutions was investigated. The photocatalytic degradation of both dyes was investigated under the illumination of either UV or sunlight. The percentage of dye removal increased with increasing irradiation time and the maximum number of dip coatings that can be applied was ten. For all the dye solutions studied, the percentage of dye removal decreased with increasing number of usage of immobilized TiO2. Due to the ease of usage and good photocatalytic efficiency, the findings showed the potential application in decolouring organic dyes for pollution prevention.
Use of heart rate variability to predict hospital length of stay for COVID-19 patients: A prospective observational study

Background: As the COVID-19 pandemic continues, determining hospital demands has become a vital priority. Heart rate variability (HRV) has been linked to both the presence of viral infection and its severity. We investigate the possibility of using HRV parameters in comparison to other clinical parameters for predicting the hospital length of stay (LOS) for COVID-19 patients. Methods: This was a population-based cohort study. Measurements were performed in a specialized hospital for respiratory disease, dedicated to COVID-19. Patients were polymerase chain reaction positive for COVID-19 and on their 1st day of admission. Heart period, respiratory sinus arrhythmia (RSA), low frequency (LF) HRV, and vagal efficiency were calculated from electrocardiogram signals. This study investigated the correlation of HRV, demographic, and laboratory parameters with hospital LOS. Results: Forty-one participants were recruited, with a significant relationship, observed between hospital LOS and some demographic and clinical parameters such as lymphocyte count, age, and oxygen saturation of arterial blood. There was a negative relationship between LF and hospital LOS (r = −0.53, 95% confidence interval: −0.73, −0.24). Higher vagal efficiency predicted shorter hospital LOS in patients younger than 40 years of age (19.27% shorter hospital LOS was associated with a one SD higher value of VE, P = 0.007). Conclusion: HRV measurement is a non-invasive, inexpensive, and scalable procedure that produces several metrics, some of which are useful for predicting hospital LOS and managing treatment resources during COVID-19 pandemic.
Measuring aerosol size distributions with the aerodynamic aerosol classifier

ABSTRACT The Aerodynamic Aerosol Classifier (AAC) is a novel instrument that selects aerosol particles based on their relaxation time or aerodynamic diameter. Additional theory and characterization is required to allow the AAC to accurately measure an aerosol’s aerodynamic size distribution by stepping while connected to a particle counter (such as a Condensation Particle Counter, CPC). To achieve this goal, this study characterized the AAC transfer function (from 32 nm to 3 μm) using tandem AACs and comparing the experimental results to the theoretical tandem deconvolution. These results show that the AAC transmission efficiency is 2.6–5.1 times higher than a combined Krypton-85 radioactive neutralizer and Differential Mobility Analyzer (DMA), as the AAC classifies particles independent of their charge state. However, the AAC transfer function is 1.3–1.9 times broader than predicted by theory. Using this characterized transfer function, the theory to measure an aerosol’s aerodynamic size distribution using an AAC and particle counter was developed. The transfer function characterization and stepping deconvolution were validated by comparing the size distribution measured with an AAC-CPC system against parallel measurements taken with a Scanning Mobility Particle Sizer (SMPS), CPC, and Electrical Low Pressure Impactor (ELPI). The effects of changing AAC classifier conditions on the particle selected were also investigated and found to be small (<1.5%) within its operating range. Copyright © 2018 American Association for Aerosol Research
Effect of dried Hovenia dulcis fruit powder on quality characteristics and antioxidant properties of cookies

Hovenia dulcis fruit powder (HFP) has shown diverse functional activities; thus, it is rational to incorporate HFP into suitable food products with enhanced nutritional and functional quality, and their incorporation into bakery products such as cookies could be a good alternative for the increase of consumption. The aim of this study was to examine the effect of HFP addition on the quality characteristics of cookies. The pH of cookie doughs ranged from 5.80-6.34, with no remarkable differences by HFP addition. Density of cookie doughs significantly decreased upon addition of HFP (p<0.05), but there were no significant differences among samples added with HFP (p>0.05). Moisture content and spread factor of cookies significantly increased with higher content of HFP in the formulation (p<0.05). For color values of cookie surface, L* and b*-values decreased while a*-value increased as a result of HFP substitution (p<0.05). 2,2-Diphenyl-1-picrylhydrazyl (DPPH) and 2,2’-azino-bis-3-ethylbenzthiazoline-6sulphonic acid (ABTS) radical scavenging activities were significantly increased (p<0.05) with higher substitution of HFP, showing a positive correlation. Hedonic sensory results indicated that cookies supplemented with 4% HFP received the most favorable acceptance scores for sensory attributes. Overall, HFP-added cookies could be developed with improved physicochemical qualities without sacrificing consumer acceptability.
Construction of Dirichlet Mixture Allocation total probability model based on multiple class text analysis

The LDA model is a total probability generation model for analyzing a large number of documents. It extends PLSA, another text analysis model. In this model, each document is treated as a topic hybrid model, and the topic’s proportional prior distribution is a Dirichlet distribution. The LDA model does not reflect complex dependencies between underlying topics. Based on LDA, this paper introduces a new topic generation model, DMA (Dirichlet Mixture Allocation), which models document collections more accurately than LDA when documents are obtained in multiple classes. In this paper, we build a probabilistic topic model of DMA, use the method of variational inference to approximate each parameter of the model, study the model, and finally solve the estimation of each parameter.
Corrosion resistance and passivation behavior of 3004 AlMnMg and 4044AlSi aluminum alloys in acid-chloride electrolytes

Corrosion resistance of 3004 and 4044 aluminium alloys (3004Al and 4044Al) in neutral chloride (0.5%–4.5% concentration), sulphate (0.00625M-0.1 M concentration), and chloride-sulphate (0.00625 M H2SO4/0.5%–4.5% chloride concentration) solutions was studied with potentiodynamic polarization, open circuit potential, cyclic polarization, and optical microscopy. Results show 4044Al exhibited higher resistance to general corrosion while 3004Al was more resistant to localized corrosion. Corrosion of 4044Al decreases with increase in chloride concentration while 3004 Al increases. Corrosion rate values for 3004Al and 4044Al in sulphate solution were generally similar between 0.061–0.395 mm y−1 and 0.168–0.213 mm y−1, respectively. In chloride-sulphate solution, corrosion rate of 3004Al increased from 0.130 mm y−1 to 1.563 mm y−1 at peak chloride concentration whereas the corrosion rate of 4044Al is near constant. The passive film on 4044Al is found to weaken significantly with increase in chloride concentration. Passivation values varied from 0.39 V at 0.5% chloride concentration to 0.01 V at 4.5% concentration while the potential at which stable pitting occurred increased. The passivation range values for 3004Al are relatively stable with respect to chloride concentration. Results from cyclic polarization experiments show the deterioration rate of both alloys in NaCl solution is subject to chloride concentration. The results show the alloys corrode at all NaCl concentrations (0.5%–4.5%) with the lowest pitting corrosion risk in 0.5% and 1.5%NaCl solutions. The highest pitting corrosion risk of the alloys occurred in 3.5% NaCl solution. Significant localized morphological deterioration is visible throughout the entirety of 4044Al relative to the adjacent Al alloy matrix compared to total surface deterioration on 3004Al.
Improving the Relation Classification Using Convolutional Neural Network

Relation extraction has been the emerging research topic in the field of Natural Language Processing. The proposed work classifies the relations among the data considering the semantic relevance of words using word2vec embeddings towards training the convolutional neural network. We intended to use the semantic relevance of the words in the document to enrich the learning of the embeddings for improved classification. We designed a framework to automatically extract the relations between the entities using deep learning techniques. The framework includes pre-processing, extracting the feature vectors using word2vec embedding, and classification using convolutional neural networks. We perform extensive experimentation using benchmark datasets and show improved classification accuracy in comparison with the state-of-the-art methodologies using appropriate methods and also including the additional relations.
The influence of zeolite-mineral feed additives on the growth and development of young cattle in Yakutia

This article presents the results of the study to determine the effect of zeolite-mineral feed additives when feeding young Simmental cattle in the conditions of Yakutia. Scientific and economic experiments to determine the optimal norms of local mineral feed additives were carried out in the conditions of Central Yakutia. The experiment was performed on young bulls of the Simmental cattle breed during the age of between 12 and 18 months. The experimental animals were selected by the analog method, which took into account the indicators of age, live weight and clinical indicators. During the experiment animals were kept under identical conditions. The difference was that the experimental groups were additionally given a mineral feed supplement – hongurin in different doses and Kempendyai salt with the daily basic diet. Animals in the cold season were kept in a small cattle house, fastened. During the experiments the optimal rate of inclusion of a zeolite-mineral feed additive was established, which allowed to maximize the growth rates of live weight while maintaining all clinical and physiological norms of the body. Thus, at the end of the experiment the animals of the II and III experimental groups were heavier than their peers from the test group by 2.93% and 4.28%. As a result, the animals of the experimental groups reached a live weight of 382.5 and 385.3 kg versus 371.6 kg in the test group. Growth rate indicators in test group bulls equaled 564.44 g, and for bulls in the II and III experimental groups 630 g and 650.56 g, respectively (indicators are higher by 11.62% and 15.26%). Thus, the use of zeolite-mineral feed additives in feeding young Simmental cattle in Yakutia has shown efficiency.
Micellar liquid chromatography for enantioseparation of β-adrenolytics using (S)-ketoprofen-based reagents

ABSTRACT Micellar liquid chromatographic method has been developed for enantioseparation of four β-adrenolytics, namely, (RS)-salbutamol, (RS)-carvedilol, (RS)-bisoprolol, and (RS)-betaxolol. Both sodium docyl sulfate and Brij-35 were used as the surfactants in water as the mobile phase. Advantages for using both the surfactants in combination were investigated. Two (S)-ketoprofen-based activated esters were synthesized by activating its carboxylic group with N-hydroxybenzotriazole and N-hydroxysuccinimide, respectively. The esters were characterized by UV, IR, 1H-NMR, HRMS, and elemental analyses. These reagents were used for the synthesis of diastereomeric derivatives of the chosen β-adrenolytics. These diastereomeric derivatives were enantioseparated on C18 column by high-performance liquid chromatography. Chromatographic conditions were optimized by varying concentration of surfactant and buffer, and pH. The method was validated according to International Conference of Harmonization guideline and the retention factor (k), selectivity factor (α), resolution factor (RS), and limit of detection and limit of quantification were calculated. GRAPHICAL ABSTRACT
Environment-friendly magnetic Fe–Ce–W catalyst for the selective catalytic reduction of NOx with NH3: influence of citric acid content on its activity-structure relationship

The influence of the citric acid content on the structural and redox properties of a magnetic iron–cerium–tungsten mixed oxide catalyst prepared through a microwave-assisted citric acid sol–gel method is investigated via TG–DTG–DSC, XRD, N2 adsorption–desorption, XPS, H2-TPR and NH3-TPD. Additionally, the NH3-SCR activity of the magnetic FeCeW-m (m = 0.25, 0.5 and 1.0) catalysts are also studied. The results indicate that an increase in citric acid content strengthens the sol–gel reaction between citric acid and metal ions and promotes the formation of the γ-Fe2O3 crystallite not α-Fe2O3. Meanwhile, it decreases the BET surface area and pore volume of the catalyst. Furthermore, the surface concentration of iron species on the catalyst is enhanced when the molar ratio of citric acid/(Fe + Ce + W) increases from 0.25 to 1.0, but its surface absorbed oxygen and total oxygen concentration decrease. The magnetic FeCeW-0.5 catalyst shows the best reducibility at temperatures below 790 °C. The increase in the citric acid content inhibits the formation of acid sites in the catalyst, thus the magnetic FeCeW-0.25 catalyst possesses the most Lewis acid sites and Brønsted acid sites among the catalysts. The enhancement in citric acid content is beneficial to improve the SCR reaction rates normalized by the surface area of the catalyst. This catalyst exhibits high anti-SO2 and H2O poisoning, and the molar ratio of citric acid/(Fe + Ce + W) affects the adsorption of NOx species on its surface.
On the Slope of the Beveridge Curve in the Housing Market

The co-movement of buyers and vacancies, i.e. the Beveridge Curve, is a key determinant of the cyclical properties of the housing market. It determines the sign of the correlation between prices and key measures of liquidity such as vacancies (i.e. houses for sale), sales, and time-to-sell. As recent work has shown, to account for the core stylized facts of the housing market, search and matching models must be consistent with a positively correlated co-movement of buyers and vacancies—the Beveridge Curve must be upward-sloping. This paper provides evidence that buyers and vacancies are indeed positively correlated along the housing cycle, i.e. the Beveridge Curve on the housing market is upward sloping. Using data on vacancies and time-to-sell, we construct a series for buyers and estimate the slope of the Beveridge Curve. This approach requires only one minimal structural assumption: the existence of a matching function. The regression results confirm the positive relationship between buyers and vacancies over the business cycle. In addition, we provide an estimate of the elasticity of vacancies with respect to buyers. A one percent increase in vacancies is associated with around a two percent increase in buyers, confirming recent findings that buyers are more volatile than houses for sale. We hope this estimate will help future researchers in this area.
Knowledge and Self-Care Practices among Psoriatic Patients in Benha City

Background: Psoriasis is a common, chronic, non-communicable skin disease, with no clear cause or cure. The negative impact of this condition on people’s lives can be immense. Psoriasis affects people of all ages, and in all countries. The reported prevalence of psoriasis in countries ranges between 0.09% and 11.43%, making psoriasis a serious global problem with at least 100 million individuals affected worldwide. Psoriasis has an unpredictable course of symptoms, a number of external triggers and significant comorbidities, including arthritis, cardiovascular diseases, metabolic syndrome, inflammatory bowel disease and depression. The study aimed to assess knowledge and self-care practices among psoriatic patients. Research design: A descriptive research design was utilized to conduct this study. Setting: The study was conducted at Dermatology Hospital out-patient clinics and Dermatology Out-Patient Clinics of Benha University Hospital in Benha City. Sample: A convenient sample was selected from the above mentioned setting; it included 30 psoriatic patients. Tools: Two main tools. Tool I: A structured interviewing questionnaire Part I: A) Socio-demographic characteristic of the psoriatic patients, B) Past medical history of the psoriatic patient, c) Current medical history. Part II: Psoriasis Knowledge Questionnaire (PKQ). Tool II: The patients' self-care practices toward psoriasis. Results: 40% of studied patients aged more than 50 years old, 73,3% of studied patients were males, 56.7% of psoriatic patients had poor total knowledge, While 23.3%of them had a good total knowledge score and 73.3% of studied patients had total unsatisfactory self-care practices score toward psoriasis. Conclusion: there was a positive correlation between the studied patients' total knowledge score and their total self-care practices score regarding psoriasis. Recommendation: Health educational program about psoriasis should be developed and implemented at outpatient clinics to improve patients' knowledge and self-care practices regarding psoriasis. _________________________________________________________________________
SHAP and LIME: An Evaluation of Discriminative Power in Credit Risk

In credit risk estimation, the most important element is obtaining a probability of default as close as possible to the effective risk. This effort quickly prompted new, powerful algorithms that reach a far higher accuracy, but at the cost of losing intelligibility, such as Gradient Boosting or ensemble methods. These models are usually referred to as “black-boxes”, implying that you know the inputs and the output, but there is little way to understand what is going on under the hood. As a response to that, we have seen several different Explainable AI models flourish in recent years, with the aim of letting the user see why the black-box gave a certain output. In this context, we evaluate two very popular eXplainable AI (XAI) models in their ability to discriminate observations into groups, through the application of both unsupervised and predictive modeling to the weights these XAI models assign to features locally. The evaluation is carried out on real Small and Medium Enterprises data, obtained from official italian repositories, and may form the basis for the employment of such XAI models for post-processing features extraction.
The Chloride Homeostasis of CA3 Hippocampal Neurons Is Not Altered in Fully Symptomatic Mepc2-null Mice

Rett syndrome (RTT) is an X-linked neurodevelopmental disorder caused mainly by mutations in the MECP2 gene. Mouse models of RTT show reduced expression of the cation-chloride cotransporter KCC2 and altered chloride homeostasis at presymptomatic stages. However, whether these alterations persist to late symptomatic stages has not been studied. Here we assess KCC2 and NKCC1 expressions and chloride homeostasis in the hippocampus of early [postnatal (P) day 30–35] and late (P50–60) symptomatic male Mecp2-null (Mecp2–/y) mice. We found (i) no difference in the relative amount, but an over-phosphorylation, of KCC2 and NKCC1 between wild-type (WT) and Mecp2–/y hippocampi and (ii) no difference in the inhibitory strength, nor reversal potential, of GABAA-receptor-mediated responses in Mecp2–/y CA3 pyramidal neurons compared to WT at any stages studied. Altogether, these data indicate the presence of a functional chloride extrusion mechanism in Mecp2–/y CA3 pyramidal neurons at symptomatic stages.
Wnt Signaling Induces Asymmetric Dynamics in the Actomyosin Cortex of the C. elegans Endomesodermal Precursor Cell

During asymmetrical division of the endomesodermal precursor cell EMS, a cortical flow arises, and the daughter cells, endodermal precursor E and mesodermal precursor MS, have an enduring difference in the levels of F-actin and non-muscular myosin. Ablation of the cell cortex suggests that these observed differences lead to differences in cortical tension. The higher F-actin and myosin levels in the MS daughter coincide with cell shape changes and relatively lower tension, indicating a soft, actively moving cell, whereas the lower signal in the E daughter cell is associated with higher tension and a more rigid, spherical shape. The cortical flow is under control of the Wnt signaling pathway. Perturbing the pathway removes the asymmetry arising during EMS division and induces subtle defects in the cellular movements at the eight-cell stage. The perturbed cellular movement appears to be associated with an asymmetric distribution of E-cadherin across the EMS cytokinesis groove. ABpl forms a lamellipodium which preferentially adheres to MS by the E-cadherin HMR-1. The HMR-1 asymmetry across the groove is complete just at the moment cytokinesis completes. Perturbing Wnt signaling equalizes the HMR-1 distribution across the lamellipodium. We conclude that Wnt signaling induces a cortical flow during EMS division, which results in a transition in the cortical contractile network for the daughter cells, as well as an asymmetric distribution of E-cadherin.