The role of emotions and beliefs in developing language teacher\u27s professional identity

Many studies have investigated different positive and negative emotions that teachers experience in their work place, in addition to their teaching beliefs. However, none of these studies addressed the role of these emotions in formulating teaching beliefs and how both emotions and beliefs shape teacher’s professional identity; particularly in an Egyptian context. The current study addresses this gap. The participants are seven female experienced teachers who work in different private institutions, under different instructional settings. The study uses semi -structured interviews, narratives and focus group discussion as data collection tools. Lazarus psychological theory of emotions (1991) was used to analyze emotions. The beliefs analysis was guided by Borg (2001) and Goodman (1998) frame works and Gee (2001) levels of identity were found to reflect teacher’s professional identity. The results showed that teachers’ emotions affected their beliefs in relation to their students, their own teaching, the institution they work at and their colleagues. The results also implied that emotions and beliefs affected the development of those teachers’ professional identities in three main contexts; student-related, institution-related and their teacher self-related contexts. The study suggests some pedagogical implications if implemented in teachers’ education programs, would help them to develop sense of awareness of their weaknesses and strengths, reconsider their beliefs, whenever urging to do so, and hence the development of their professional identities

MicroRNA-150 down Regulation in Acute Myeloid Leukaemia Patients and Its Prognostic Implication

BACKGROUND: MicroRNAs (miRNAs) are small, non-coding RNAs that are important for post-transcriptional gene regulation in both healthy and morbid conditions. Numerous miRNAs promote tumorigenesis, while others have a tumour suppressive effects. Acute myeloid leukaemia (AML) is a heterogeneous group of genetically diverse hematopoietic malignancies with variable response to treatment. AIM: Our study aimed to investigate the possible role of miR-150 in de novo adult AML and the impact of its level on survival, and we used in the silicon analysis to predict the main target genes involved in miR-150 mediated cancer pathway. MATERIAL AND METHODS: We evaluated miR-150 expression profiling assay using TaqMan primer probes RT-PCR in the plasma of 50 adult AML patients, before the start of treatment and at day 28 of treatment, along with 20 normal adult control samples. miR-16 was used as an endogenous reference for standardisation. Follow-up of patients during treatment at day 28 of induction chemotherapy and after one year was done. RESULTS: In this study, we found a significantly lower level of miR-150 in AML patients when compared to controls (p = 0.005) with 0.62 fold change than in healthy controls. Patients were divided into two groups: the low miR-150 group (miR-150 < 1) and the high miR-150 group (miR-150 > 1). A statistically significant difference was found between the two groups regarding initial total leukocytic count and initial PB blast count while for the TLC, HB and PLT count at follow up. No difference in the overall survival between the low and the high miR-150 groups could be demonstrated. CONCLUSION: Our results suggest that miR-150 functions as a tumour suppressor and gatekeeper in inhibiting cell transformation and that its downregulation is required for leukemogenesis

Mortality from gastrointestinal congenital anomalies at 264 hospitals in 74 low-income, middle-income, and high-income countries: a multicentre, international, prospective cohort study

Summary Background Congenital anomalies are the fifth leading cause of mortality in children younger than 5 years globally. Many gastrointestinal congenital anomalies are fatal without timely access to neonatal surgical care, but few studies have been done on these conditions in low-income and middle-income countries (LMICs). We compared outcomes of the seven most common gastrointestinal congenital anomalies in low-income, middle-income, and high-income countries globally, and identified factors associated with mortality. Methods We did a multicentre, international prospective cohort study of patients younger than 16 years, presenting to hospital for the first time with oesophageal atresia, congenital diaphragmatic hernia, intestinal atresia, gastroschisis, exomphalos, anorectal malformation, and Hirschsprung’s disease. Recruitment was of consecutive patients for a minimum of 1 month between October, 2018, and April, 2019. We collected data on patient demographics, clinical status, interventions, and outcomes using the REDCap platform. Patients were followed up for 30 days after primary intervention, or 30 days after admission if they did not receive an intervention. The primary outcome was all-cause, in-hospital mortality for all conditions combined and each condition individually, stratified by country income status. We did a complete case analysis. Findings We included 3849 patients with 3975 study conditions (560 with oesophageal atresia, 448 with congenital diaphragmatic hernia, 681 with intestinal atresia, 453 with gastroschisis, 325 with exomphalos, 991 with anorectal malformation, and 517 with Hirschsprung’s disease) from 264 hospitals (89 in high-income countries, 166 in middleincome countries, and nine in low-income countries) in 74 countries. Of the 3849 patients, 2231 (58·0%) were male. Median gestational age at birth was 38 weeks (IQR 36–39) and median bodyweight at presentation was 2·8 kg (2·3–3·3). Mortality among all patients was 37 (39·8%) of 93 in low-income countries, 583 (20·4%) of 2860 in middle-income countries, and 50 (5·6%) of 896 in high-income countries (p<0·0001 between all country income groups). Gastroschisis had the greatest difference in mortality between country income strata (nine [90·0%] of ten in lowincome countries, 97 [31·9%] of 304 in middle-income countries, and two [1·4%] of 139 in high-income countries; p≤0·0001 between all country income groups). Factors significantly associated with higher mortality for all patients combined included country income status (low-income vs high-income countries, risk ratio 2·78 [95% CI 1·88–4·11], p<0·0001; middle-income vs high-income countries, 2·11 [1·59–2·79], p<0·0001), sepsis at presentation (1·20 [1·04–1·40], p=0·016), higher American Society of Anesthesiologists (ASA) score at primary intervention (ASA 4–5 vs ASA 1–2, 1·82 [1·40–2·35], p<0·0001; ASA 3 vs ASA 1–2, 1·58, [1·30–1·92], p<0·0001]), surgical safety checklist not used (1·39 [1·02–1·90], p=0·035), and ventilation or parenteral nutrition unavailable when needed (ventilation 1·96, [1·41–2·71], p=0·0001; parenteral nutrition 1·35, [1·05–1·74], p=0·018). Administration of parenteral nutrition (0·61, [0·47–0·79], p=0·0002) and use of a peripherally inserted central catheter (0·65 [0·50–0·86], p=0·0024) or percutaneous central line (0·69 [0·48–1·00], p=0·049) were associated with lower mortality. Interpretation Unacceptable differences in mortality exist for gastrointestinal congenital anomalies between lowincome, middle-income, and high-income countries. Improving access to quality neonatal surgical care in LMICs will be vital to achieve Sustainable Development Goal 3.2 of ending preventable deaths in neonates and children younger than 5 years by 2030

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

Insight on Bone Morphogenetic Protein 7 in Ankylosing Spondylitis and its association with disease activity and radiographic damage

Introduction: Fusion of joints as well as intervertebral spaces by the formation of bony spurs appearing as syndesmophytes and osteophytes are the hallmark of spondyloarthropathies which accounts for disability. The aim of this study was to assess the serum level of bone morphogenetic protein (BMP)-7 in ankylosing spondylitis and its relationship with disease activity and the radiographic damage. Methods: This longitudinal case control study was conducted in Ain Shams University Hospitals (Egypt). A total of 55 subjects were included in two case groups and one control group. Group I included 20 patients with Ankylosing Spondylitis (AS) assessed at baseline (defined as Ia and after 18 months defined as Ib). Group II included 20 patients with Rheumatoid Arthritis (RA) and Group III included 15 healthy subjects as controls. Patients with other forms of seronegative spondyloarthropathies, bone forming diseases were excluded from the study. The Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and the Bath Ankylosing Spondylitis Metrology Index (BASMI) were used to assess disease activity in AS patients. RA disease activity was assessed using the disease activity score 28 (DAS28). Radiographic changes were assessed using the Bath AS Radiographic Index (BASRI) in AS and Larsen scores in RA. Laboratory investigations included: Complete blood picture (CBC), Erythrocyte sedimentation rate (ESR), quantitative CRP, serum calcium, phosphorus and alkaline phosphatase. Determination of serum bone morphogenetic protein-7 level (BMP-7) was done using enzyme linked immunosorbent assay (ELISA). Sample collections, clinical and radiological assessments were performed at baseline for all groups and after a mean follow-up of 18 months for Group I. Data were analyzed by SPSS 17, using t-test, Kruskal-Wallis, Mann-Whitney, Fischer exact test, Chi square, and Pearson Product- Moment Correlation Coefficient. Results: There were statistically significant differences between the 3 groups as regard baseline BMP-7 levels; the mean BMP-7 level of AS patients was significantly higher than that of RA patients and controls and significantly higher in the RA group than that of controls. BMP-7 levels were not associated with any of the clinical or drug related variables either in AS or RA. In AS BMP-7 levels showed significant increase after follow up and significant positive correlation with serum alkaline phosphatase (both at baseline and after follow up) and BASDAI score (after follow up) respectively. Despite the parallel increase of BMP7 and BASRI score during the follow-up period no statistically significant correlation was detected. There were no significant correlations between BMP7 level and patient’s age or any disease related characteristics in the RA group. Conclusion: A significant progressive increase in serum BMP-7 was noted in AS patients that correlated with serum markers of bone formation. Such a biomarker measurement may not only act as a surrogate marker for the disease but has the potential to contribute to the pathogenesis of AS that may provide a complementary or alternative therapeutic approach

Physico-Chemical Properties Prediction of Flame Seedless Grape Berries Using an Artificial Neural Network Model

The grape is a very well-liked fruit that is valued for its distinct flavor and several health benefits, including antioxidants, anthocyanins, soluble sugars, minerals, phenolics, flavonoids, organic acids, and vitamins, which significantly improve the product’s overall quality. Today’s supply chain as a whole needs quick and easy methods for evaluating fruit quality. Thus, the objective of this study was to estimate the quality attributes of Flame Seedless grape berries cultivated under various agronomical management and other practices using color space coordinates (berry L*, berry a*, and berry b*) as inputs in an artificial neural network (ANN) model with the best topology of (3-20-11). Satisfactory predictions based on the R2 range, which was 0.9817 to 0.9983, were obtained for physical properties (i.e., berry weight, berry length, and berry diameter as well as berry adherence strength) and chemical properties (i.e., anthocyanin, total soluble solids (TSS), TSS/titratable acidity, total sugars, titratable acidity, reducing sugars, and non-reducing sugars). Meanwhile, we also performed a contribution analysis to analyze the relative importance of CIELab colorimeter parameters of berries L*, a*, and b* to determine the main fruit quality. In terms of relative contribution, berry b* contributed relatively largely to berry weight, berry adherence strength, TSS, TSS/titratable acidity, titratable acidity, total sugars, reducing sugars, and non-reducing sugars and a* contributed relatively largely to anthocyanin, berry length, and berry diameter. The developed ANN prediction model can aid growers in enhancing the quality of Flame Seedless grape berries by selecting suitable agronomical management and other practices to avoid potential quality issues that could affect consumers of them. This research demonstrated how color space coordinates and ANN model may well be utilized to evaluate the Flame seedless grape berries’ quality

Molecular Studies on Some Emerging Pathogens in Dairy Products Retailed in Dakahlia Governorate, Egypt

In this study, one hundred and ten samples (25 raw buffalo milk, 25 kareish cheese, 25 small-scale yoghurt, and 35 small-scale ice cream) were collected randomly from local markets, dairy shops, and supermarkets from different localities in Dakahlia Governorate, Egypt during October 2019 to March 2020. The prevalence rates of foodborne pathogens including E. coli, Salmonella spp., and Aeromonas hydrophila (A. hydrophila) were examined. Molecular confirmation and detection of toxin-producing and drug-resistance-related genes were carried out using PCR. E. coli was isolated from the examined raw milk, ice cream, Kareish cheese, and yoghurt at 72%, 25.71%, 40%, and 44%, respectively, while Salmonella spp. was isolated at 36%, 4%, and 24% from the examined raw milk, Kareish cheese, and yoghurt samples, respectively. Aeromonas hydrophila was isolated at 36% from the examined raw milk samples, 8% from Kareish cheese samples, and 76% from the examined yoghurt samples. Twelve out of 98 E. coli isolates, 18 out of 30 Salmonella isolates, and 24 out of 50 A. hydrophila were multidrug-resistant, respectively. The most resistant antibiotics were ceftriaxone and tetracycline. All examined E. coli, Salmonella spp., and A. hydrophila isolates contained blaTEM and TetA(A) resistance genes. 66.7% of the examined E. coli isolates harbored stx1, while stx2 was absent in all examined E. coli isolates. All examined Salmonella spp. isolates contained both stn and avrA virulence genes. All examined A. hydrophila contained the Aerolysin, but just 40% contained the hemolysin virulence genes. Therefore, it is necessary to reduce the excessive usage of antibiotics in dairy farms and to apply strict hygienic measures to inhibit microbial contamination of dairy products intended for human consumption

Predicting the Chemical Attributes of Fresh Citrus Fruits Using Artificial Neural Network and Linear Regression Models

Different chemical attributes, measured via total soluble solids (TSS), acidity, vitamin C (VitC), total sugars (Tsugar), and reducing sugars (Rsugar), were determined for three groups of citrus fruits (i.e., orange, mandarin, and acid); each group contains two cultivars. Artificial neural network (ANN) and multiple linear regression (MLR) models were developed for TSS, acidity, VitC, Tsugar, and Rsugar from fresh citrus fruits by applying different independent variables, namely the dimensions of the fruits (length (FL) and diameter (FD)), fruit weight (FW), yield/tree, and soil electrical conductivity (EC). The results of ANN application showed that a feed-forward back-propagation network type with four input neurons (Yield/tree, FW, FL, and FD) and eight neurons in one hidden layer provided successful modeling efficiencies for TSS, acidity, VitC, Tsugar, and Rsugar. The effect of the EC variable was not significant. The hyperbolic tangent of both the hidden layer and the output layer of the developed ANN model was chosen as the activation function. Based on statistical criteria, the ANN developed in this study performed better than the MLR model in predicting the chemical attributes of fresh citrus fruits. The root mean square error of TSS, acidity, VitC, Tsugar, and Rsugar ranged from 0.064 to 0.453 and 0.068 to 0.634, respectively, for the ANN model, and 0.568 to 4.768 and 0.550 to 4.830, respectively, for the MLR model using training and testing datasets. In addition, the relative errors obtained through the ANN approach provided high model predictability and feasibility. In chemical attribute modeling, the FD and FL variables exhibited high contribution ratios, resulting in a reliable predictive model. The developed ANN model generally showed a good level of accuracy when estimating the chemical attributes of fresh citrus fruit