Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Fruit Storage Temperature and Time on Cloud Stability of Not from Concentrated Apple Juice

Apple juice that is designated ‘Not from concentrated’ (NFC) is now increasingly popular with consumers due to its unique taste and rich nutritional value. However, layered precipitation and instability have emerged as serious technical problems that restrict the viability of the NFC apple juice industry. This study researched the influence of water-cored ‘Fuji’ apple fruit storage under different temperatures (0, 20 °C) and times (0, 9, 18, 30, 60 days) on the turbidity stability of NFC apple juice. Changes in the physicochemical properties (juice yield, pH, total soluble solids and titratable acid), turbidity stability (turbidity and particle size) and precipitation sensitive substances (insoluble starch, total phenolics, soluble protein and pectin) of NFC apple juice were determined, combined with the respiratory rates and ethylene release of apples, in order to study post-harvest regulation and control of processed fruit. Results indicated that fruit storage temperature and time significantly guided the turbidity stability of NFC apple juice. As a typical respiratory climacteric fruit, apple fruit stored 45 days at 0 °C and 15 days at 20 °C gained the best juice stability, respectively. This is basically consistent with the respiratory peak of fruit when processing raw materials. During the post-ripening process, the insoluble starch in apple gradually hydrolyzed into fructose and glucose, while total phenolics diminished and water-soluble pectin content increased. On the other hand, the amounts of pectin, soluble protein and phenolics in fruit juice declined as the fruit aged in the late storage period (stored 75 days at 0 °C and 40 days at 20 °C). Meanwhile particle size became larger and the turbidity stability of cloudy juices also decreased. This study’s results will provide a sound theoretical basis for improving the turbidity stability of NFC apple juice by regulating the physiological state of processed raw materials.
Child’s presence shapes immigrant women’s experiences of everyday intergroup contact

Research on intergroup contact has considered how the occurrence and experience of contact is affected by ingroup members. Qualitative studies of contact in real-life settings have additionally highlighted how multiple actors can affect the manifestation of contact. This article shows how the presence of one’s child can shape immigrant mothers’ contact experiences in multi-ethnic neighbourhoods. Ten immigrant mothers living in Helsinki, Finland, were interviewed twice over a six-month period about their intergroup interactions in their locale. Using a thematic analysis, we identified three themes depicting immigrant mothers’ experiences of intergroup contacts in their child’s presence: i) feeling visible to others, ii) seeking harmonious contact, and iii) anticipating problems. The results illustrate how a child affords unique opportunities for an immigrant mother to engage in interethnic contact, but also brings distinctive threats. This suggests the need to further consider how different types of intragroup dynamics can shape intergroup contacts.
The health economic impact of cow's milk allergy in childhood: A retrospective cohort study

Abstract Background Cow's milk allergy (CMA) is one of the most common food allergies among children. Whilst avoidance of cow's milk protein is the cornerstone of management, further treatment of symptoms including those affecting the gastrointestinal, skin and respiratory systems plus other allergic comorbidities, maybe required. This study aimed to quantify the wider economic impact of CMA and its management in the United Kingdom (UK). Methods We conducted a retrospective matched cohort study on children with CMA (diagnosis read code and/or hypoallergenic formula prescription for ≥3 months) examining healthcare data (medication prescriptions and healthcare professional contacts) from case records within The Health Improvement Network (A Cegedim Proprietary Database) in the UK. A comparative cost analysis was calculated based on healthcare tariff and unit costs in the UK. Results 6998 children (54% male; mean observation period 4.2 years) were included (n = 3499 with CMA, mean age at diagnosis 4.04 months; n = 3499 matched controls without CMA). Compared to those without CMA, medications were prescribed to significantly more children with CMA (p < 0.001) at a higher rate (p < 0.001). Children with CMA also required significantly more healthcare contacts (p < 0.001) at higher rate (p < 0.001) compared to those without CMA. CMA was associated with additional potential healthcare costs of £1381.53 per person per year. Conclusion The findings of this large cohort study suggest that CMA and its associated co‐morbidities presents a significant additional healthcare burden with economic impact due to higher prescribing of additional medications. Further research into management approaches that may impact these clinical and economic outcomes of CMA is warranted.
EFFECTS OF URIC ACID ON DISEASE SEVERITY AND MORTALITY IN HOSPITALIZED COVID-19 PATIENTS

Background: High and low uric acid (UA) levels in the general population are associated with mortality. Information on the association of UA levels with clinical outcomes in COVID-19 patients is contradictory. We investigated the relationship between UA levels and clinical endpoints in COVID-19 patients. Methods: Laboratory and clinical parameters, including UA at the admission of hospitalized COVID-19 patients, were recorded retrospectively. Binary logistic regression analysis determined risk factors for mortality and the intensive care unit (ICU) needs. Results: This study included 708 patients (57.1% men), and the median age was 63 (18-98) years. Two hundred and three (28.7%) patients needed ICU, and 107 (15.7%) died. Uric acid levels were significantly higher in the deceased (6.5 vs. 4.9; pmedian value 5.1 mg/dL) group have higher mortality rate (22.4% vs. 9.5%; p
Effects of Two Distinct Psychoactive Microbes, Lacticaseibacillus rhamnosus JB-1 and Limosilactobacillus reuteri 6475, on Circulating and Hippocampal mRNA in Male Mice

Discovery of the microbiota-gut–brain axis has led to proposed microbe-based therapeutic strategies in mental health, including the use of mood-altering bacterial species, termed psychobiotics. However, we still have limited understanding of the key signaling pathways engaged by specific organisms in modulating brain function, and evidence suggests that bacteria with broadly similar neuroactive and immunomodulatory actions can drive different behavioral outcomes. We sought to identify pathways distinguishing two psychoactive bacterial strains that seemingly engage similar gut–brain signaling pathways but have distinct effects on behaviour. We used RNAseq to identify mRNAs differentially expressed in the blood and hippocampus of mice following Lacticaseibacillus rhamnosus JB-1, and Limosilactobacillus reuteri 6475 treatment and performed Gene Set Enrichment Analysis (GSEA) to identify enrichment in pathway activity. L. rhamnosus, but not L. reuteri treatment altered several pathways in the blood and hippocampus, and the rhamnosus could be clearly distinguished based on mRNA profile. In particular, L. rhamnosus treatment modulated the activity of interferon signaling, JAK/STAT, and TNF-alpha via NF-KB pathways. Our results highlight that psychobiotics can induce complex changes in host gene expression, andin understanding these changes, we may help fine-tune selection of psychobiotics for treating mood disorders.
Insulator Leakage Current Prediction Using Hybrid of Particle Swarm Optimization and Gene Algorithm-Based Neural Network and Surface Spark Discharge Data

This study proposes a new superior hybrid algorithm, which is the particle swarm optimization (PSO) and gene algorithm (GA)-based neural network to predict the leakage current of insulators. The developed algorithm was utilized for the online monitoring systems, which were completely installed on the 69 kV and 161 kV transmission towers in Taiwan. This hybrid algorithm utilizes the local meteorological data as input parameters combined with the extracted enhanced data: the percentage of spark discharge areas and the brightness change in the image of the discharge phenomenon. These data with a high correlation with the leakage current are utilized as input vectors to improve the accuracy and effectiveness of the developed hybrid model. The performance of the developed algorithm is compared with a traditional PSO-based neural network and backpropagation neural network (BPNN) to evaluate and analyze. The comparative simulation results prove the effectiveness of the combination of hybrid PSO-GA-based neural network and surface discharge data, which achieved a maximum improvement of 38.54% MSE, 10.62% MAPE, and 3.41% R square for 161 kV data and 39.28% MSE, 12.62% MAPE, and 1.61% R square for 69 kV data. Moreover, the data with enhanced inputs outperform the traditional data in most benchmark factors, improving the accuracy and effectiveness in defining the deteriorative insulators. The developed methodology with a noticeable improvement was utilized in the online monitoring system to reduce the operational and maintenance cost of transmission lines in Taiwan Power Company.
Determination of multi-drug resistant Klebsiella pneumoniae isolated from UTI patients in Wasit province, Iraq

The noticeable increase in the occurrence of multidrug-resistant Klebsiella pneumoniae strains separated from different hospitals in Wasit Province-Iraq demonstrates the limitation of antibiotics used for bacterial eradication. The aim of the present study is to detect the virulence genes in some K. pneumoniae isolates that collected from different hospitals in Wasit Province-Iraq. A total of 525 clinical samples were used to isolate 77 K. pneumoniae strains from clinical specimens throw fife months. They were identified by microbiological method as K. pneumoniae. The antimicrobial susceptibility of K. pneumoniae isolates was determined. The existence of virulence genes (AcrAB and tolC) were performed by PCR. The multidrug-resistant isolates showed resistance against Gentamicin (3.89%), Tobramycin (15.58%), and Amikacin (12.98%), which belongs to aminoglycoside antibiotics. Morever, βeta-Lactam antibiotics include Penicillins: Ampicillin (100%), Augmentin (19.48%), Carbapenems class including: Polymyxin-B (2.59%), and Imipenem (19.48%), Tetracyclins represented by Tetracycline (27.27%), Quinolones class including Ciprofloxacin (19.48%), Levofloxacin (14.28%), and Norfloxacin (14.28%), Macrolidies class including Azithromycin (57.14%),Amphenicols class including Chloramphenicol (1.29%),Nitrofurans class including Nitrofurantion (57.14%), finally Co-Trimoxazole class including Trimethoprim (33.76%). Molecular diversity between K. pneumoniae isolates was determined using Multiplex PCR technique.
Pre-harvest Defoliation of Apple Nursery Stock using Ethrel1,2

Two-year-old apple trees growing in the nursery row were effectively defoliated by sprays of Ethrel at concentrations of 2000, 3750, and 5000 ppm. Retarded shoot growth and polarity reversal indicated that a 5000 ppm concentration was supraoptimal. The 2000 ppm concentration somewhat delayed early spring growth, but not unacceptably so. Using this or a slightly lower level appears quite promising as a commercial practice. Development of visible root germs was greater on Ethrel treated plants.
On the (in)stability of sunspots

Context. The stability of sunspots is one of the long-standing unsolved puzzles in the field of solar magnetism and the solar cycle. The thermal and magnetic structure of the sunspot beneath the solar surface is not accessible through observations, thus processes in these regions that contribute to the decay of sunspots can only be studied through theoretical and numerical studies. Aims. We study the effects that destabilise and stabilise the flux tube of a simulated sunspot in the upper convection zone. The depth-varying effects of fluting instability, buoyancy forces, and timescales on the flux tube are analysed. Methods. We analysed a numerical simulation of a sunspot calculated with the MURaM code. The simulation domain has a lateral extension of more than 98 Mm × 98 Mm and extends almost 18 Mm below the solar surface. The analysed data set of 30 hours shows a stable sunspot at the solar surface. We studied the evolution of the flux tube at defined horizontal layers (1) by means of the relative change in perimeter and area, that is, its compactness; and (2) with a linear stability analysis. Results. The simulation shows a corrugation along the perimeter of the flux tube (sunspot) that proceeds fastest at a depth of about 8 Mm below the solar surface. Towards the surface and towards deeper layers, the decrease in compactness is damped. From the stability analysis, we find that above a depth of 2 Mm, the sunspot is stabilised by buoyancy forces. The spot is least stable at a depth of about 3 Mm because of the fluting instability. In deeper layers, the flux tube is marginally unstable. The stability of the sunspot at the surface affects the behaviour of the field lines in deeper layers by magnetic tension. Therefore the fluting instability is damped at depths of about 3 Mm, and the decrease in compactness is strongest at a depth of about 8 Mm. The more vertical orientation of the magnetic field and the longer convective timescale lead to slower evolution of the corrugation process in layers deeper than 10 Mm. Conclusions. The formation of large intrusions of field-free plasma below the surface destabilises the flux tube of the sunspot. This process is not visible at the surface, where the sunspot is stabilised by buoyancy forces. The onset of sunspot decay occurs in deeper layers, while the sunspot still appears stable in the photosphere. The intrusions eventually lead to the disruption and decay of the sunspot.
A Comparative Study to Assess Emotional Intelligence between boys and girls nursing students of selected Nursing Colleges at Latur

Background of The Study: A man’s life is normally divided into five stages namely: infancy, childhood, adolescence, adulthood and old age. Every stage has its significance in terms of biological and psychological transition which in-turn influences the behavior, among these stages the pivotal transformation occurs between childhood to adolescence, which is also termed as biological stress. Hormone for the first time appear and change the internal environment and in- turn influence psychological composure of an individual, this influence can be in positive or in negative way. Aim: Aim of study is to assess and compare emotional intelligence between boys and girls nursing students form selected nursing colleges of latur. Method: In the study 60 samples were chosen using non probability convenient sampling, structured Emotional intelligence scale was administered to assess emotional intelligence among boys and girls of nursing college. Result: The findings of the present study, revealed that among Boys the highest percentage (86%) had high emotional intelligence and remaining (13.33%) had low Emotional intelligence scores. While In case of Girls, Highest percentage (95%) had high emotional intelligence scores and remaining (5%) had low emotional intelligence scores. To find the significance of difference in mean emotional intelligence scores between Boys and Girls Nursing students, Independent ‘t’-test was computed obtained value of Independent ‘t’(58)= 6.553 , which was found to be significant at 0.05 level of significance. Hence Null hypothesis is rejected interpreting Girls had significantly higher emotional intelligence compared to Boys. To find association with level of Emotional intelligence and their selected personal demographical variables Chi-Square was computed, results reveal that no personal variables of samples were found to be statistically significant at 0.05 level of significance. Conclusion: The study revealed the emotional intelligence is having a profound impact on boys and girls Nursing students and it further revels that girls had higher emotionally intelligence in comparison to boys. The result demonstrated that the Questionnaire was effective for comparing the emotional maturity in between boys and girls among the nursing student M.I. N.S college latur.
Secondary sclerosing cholangitis after critical COVID-19: Three case reports

BACKGROUND The global coronavirus disease 2019 (COVID-19) pandemic has caused more than 5 million deaths. Multiorganic involvement is well described, including liver disease. In patients with critical COVID-19, a new entity called "post-COVID-19 cholangiopathy" has been described. CASE SUMMARY Here, we present three patients with severe COVID-19 that subsequently developed persistent cholestasis and chronic liver disease. All three patients required intensive care unit admission, mechanical ventilation, vasopressor support, and broad spectrum antibiotics due to secondary infections. Liver transplant protocol was started for two of the three patients. CONCLUSION Severe COVID-19 infection should be considered a potential risk factor for chronic liver disease and liver transplantation.
Location of singular points in orthorhombic media

The dependence of the location of singular points of orthorhombic (ORT) media on the stiffness coefficients , and phase velocity at the singularity point is studied under the assumption that are larger than and . In this case, singular points appear only at the intersection of slowness surfaces of S1- and S2-waves. To simplify the presentation of the results, the values , are fixed and changed within the limits at which the stiffness matrix remains positive definite. We define the parameters, , , , which result in 0, 1, or 2 singular points in the symmetry planes of the ORT medium. The types of these singular points and their location on the unit circle are described. It is shown that, by selecting parameters , any singular point in the symmetry plane 13 can be combined with the limiting position of the singularity point in-between the symmetry planes, or this point can be included in the singular curve of the degenerate ORT medium. We derive equations for the semi-axes of an ellipse of conical refraction, which is the image of a singular point from plane 13 in the group domain. Conditions for degeneration of the ellipse of conical refraction into a segment or a point are defined. It is shown that there exists only one ORT medium with a fixed phase velocity of S1- and S2-waves in a given singular direction n. If we present the ORT media as projections of these vectors n onto the plane 12 and mark the value of the Poincaré index of the S1- or S2-wave at the point n, we get 2 regions with indices 1/2 and –1/2 separated by projection of the singular curve in the form of an ellipse or hyperbola. We compute equations for of a degenerate ORT medium in terms of the values, , and velocity of S1-, S2-waves on a singular curve. The singular curve is defined by the intersection of a unit sphere with an elliptic cone. It is proved that a degenerate ORT medium for or is, respectively, a transversally isotropic medium with a vertical or horizontal axis of symmetry. The results are illustrated in several examples.
Quasimodes with exponentially small errors associated with elliptic periodic rays

The aim of this paper is to construct compactly supported Gevrey quasimodes with exponentially small discrep- ancy for the Laplace operator with Dirichlet boundary conditions in a domain X with analytic boundary. The quasimodes are associated with a nondegenerate elliptic closed broken geodesic γ in X. We find a Cantor family Λ of invariant tori of the corresponding Poincare map which is Gevrey smooth with respect to the transversal variables (the frequencies). Quantizing the Gevrey family Λ, we construct quasimodes with exponentially small discrepancy. As a consequence, we obtain a large amount of resonances exponentially close to the real axis for suitable compact obstacles.
AN ONLINE EXPERIMENT ON THE STEREOTYPE CONTENT MODEL (SCM) AND CHATBOTS - DOES SWAPPING THE PICTURE MAKE A DIFFERENCE?

Chatbots have become quite popular in recent years, and research on the topic has gained momentum. In this study, we address whether the stereotype content model applies in the context of chatbots. Furthermore, we consider whether swapping the image of a person in the chatbot interface makes a difference in terms of the SCM. An online experiment was conducted to A/B-test different chatbot versions, and the results suggest that the SCM applies. Furthermore, a chatbot can be perceived as warm and competent, with friendliness, in particular, fostering online trust. This, in turn, is a business-success-relevant construct in an online setting. Therefore, if a trustworthy chatbot is to be implemented, the SCM is considered relevant and necessary for implementing such a bot.
Implementing Project-Based Language Learning and Teaching in Classrooms: EFL Teachers’ Perspectives

This study explores secondary level English as a foreign language (EFL) teachers’ perceptions about Project-Based Language Teaching (PBLT) in terms of its benefits in EFL classrooms. Moreover, it investigates the challenges EFL teachers face while implementing it in English language instruction and recommends the solutions as perceived by the EFL teachers in the EFL context of Nepal. Backing up with theoretical perspectives on PBLT approach, this study adopts phenomenological qualitative research design to analyze the data obtained from the in-depth interviews conducted with three secondary level EFL teachers from three schools of Kailali district of Nepal. This study reveals that even though EFL teachers have knowledge about the importance and benefits of using PBLT in English language teaching, they still face some ideological, pedagogical and operational challenges in effective implementation of PBLT in classrooms. However, the EFL teachers suggest some solutions to overcome the challenges for successful implementation of PBLT for better language teaching and learning.
Controversies in the Surgical Treatment of Chronic Subdural Hematoma: A Systematic Scoping Review

Chronic subdural hematoma (cSDH) is one of the most common neurosurgical entities, especially in the elderly population. Diagnosis is usually established via a head computed tomography, while an increasing number of studies are investigating biomarkers to predict the natural history of cSDH, including progression and recurrence. Surgical evacuation remains the mainstay of treatment in the overwhelming majority of cases. Nevertheless, many controversies are associated with the nuances of surgical treatment. We performed a systematic review of the literature between 2010 and 2022, aiming to identify and address the issues in cSDH surgical management where consensus is lacking. The results show ambiguous data in regard to indication, the timing and type of surgery, the duration of drainage, concomitant membranectomy and the need for embolization of the middle meningeal artery. Other aspects of surgical treatment—such as the use of drainage and its location and number of burr holes—seem to have been adequately clarified: the drainage of hematoma is strongly recommended and the outcome is considered as independent of drainage location or the number of burr holes.