Eficacia docente y compromiso en la enseñanza del árabe: un estudio correlacional

The current study explores the validity and reliability of the instrument used in assessing teachers’ efficacy in teaching Arabic and also their commitment to teaching. The study also examined Arabic teaching efficacy in relation to teacher commitment. The study involved 252 teachers out of 487 teachers from 57 National Religious Secondary Schools throughout Malaysia. A structural equation modeling with AMOS was employed to investigate the effects of the hypotheses model. Confirmatory factor analysis supported the adequacy of the constructs of teacher efficacy and teacher commitment and found that the two constructs were multidimensional constructs with four underlying dimensions respectively. The findings also showed that teacher efficacy influences teacher commitment. Several essential theoretical implications for developing and enhancing teachers in the Malaysian Secondary Arabic education context have arisen from the current study.El estudio actual explora la validez y confiabilidad del instrumento utilizado para evaluar la eficacia de los maestros en la enseñanza del árabe y también su compromiso con la enseñanza. El estudio también examinó la eficacia de la enseñanza del árabe en relación con el compromiso del profesor. El estudio involucró a 252 maestros de 487 maestros de 57 escuelas secundarias religiosas nacionales en toda Malasia. Se empleó un modelo de ecuación estructural con AMOS para investigar los efectos del modelo de hipótesis. El análisis factorial confirmatorio apoyó la idoneidad de las construcciones de la eficacia y el compromiso de los docentes y encontró que las dos construcciones eran construcciones multidimensionales con cuatro dimensiones subyacentes, respectivamente. Los hallazgos también mostraron que la eficacia del maestro influye en el compromiso del maestro. Del estudio actual se desprenden varias implicaciones teóricas esenciales para el desarrollo y la mejora de los docentes en el contexto de la educación árabe secundaria en Malasia

The Efficiency of the Eichhornia Crassipes (Mart)Solms in the Absorption Contamination Water before Discharge in the Tigris River

Carried out this study in the College of Agriculture and forestry / Mosul University during growing season of the water hyacinth Eichhornia crassipes (Mart)Solms  for 2012 included the experiment two factors , first the quality of the water and second time periods of sampling where the measurement of the proportion of heavy elements from the stream of the valley of the Al-Kraze , which is in the effluent  of AL-kosar , and then the Tigris River .in a week if I took samples of the water before entering the receptacle of cultivated plants is the water hyacinth, and then take samples after the presence of water with the plants for two days . Showed results high efficiency water hyacinth in the absorption of mineral elements including heavy with salts with modification number  the EC of the water course of the valley of the Al-Kraze, where it is absorbed by the water entering into the zone of plant growth through the summer months quantities of salinity, nitrate, phosphate, copper, zinc, lead and cadmium of up to 6,4٪ , 55,9٪ , 38,7٪ , 65,8٪ , 51,3٪ , 51,9٪ , 65,6٪ respectively also reduced the number the pH of the water at a rate of 0,21 . Although there is variation in the rates of salinity and the elements present in the water during the time periods of July to September , it has obsorp the plant higher amounts of the element of copper, lead and cadmium in the month of September, while, obsorp the highest level of salinity, nitrate, phosphorus, and zinc, in the month of July . Keywords: pollution, Eichhornia crassipes (Mart)Solms , period of time, quality of water, waste water, heavy meta

Serum Activins and Follistatin during the Treatment of Chronic Hepatitis C Genotypes 1 and 4 and Their Correlations with Viral Load and Liver Enzymes: A Preliminary Report

Aims. To measure the effect of pegylated interferon-α therapy on serum activin-A, activin-B, and follistatin and their correlation with viral load and liver fibrosis in chronic hepatitis C (CHC). Methods. This study was cross-sectional and sera were collected from 165 participants classified into 7 groups: 40 healthy negative control, 33 treatment naïve patients as positive control, 19 patients at week 4, 22 at week 12, and 19 at week 24 of treatment initiation and 21 responders and 11 nonresponders at the end of 48-week treatment protocol. Serum candidate proteins were measured using ELISA and liver fibrosis was assessed by AST platelet ratio index (APRI). Results. CHC significantly increased activins and decreased follistatin compared to negative control (P<0.05). Activin-A and follistatin levels returned to the levels of negative control group at weeks 4, 12, and 24 following treatment initiation and were significantly different from positive control (P<0.05). Both proteins were significantly different between responders and nonresponders. Activin-A correlated positively and significantly with the viral load and APRI. Conclusion. CHC modulates serum activin-A and follistatin and they appear to be influenced by pegylated interferon-α therapy. Further studies are needed to explore the role of activins in CHC

GAN-driven Electromagnetic Imaging of 2-D Dielectric Scatterers

Inverse scattering problems are inherently challenging, given the fact they are ill-posed and nonlinear. This paper presents a powerful deep learning-based approach that relies on generative adversarial networks to accurately and efficiently reconstruct randomly-shaped two-dimensional dielectric objects from amplitudes of multi-frequency scattered electric fields. An adversarial autoencoder (AAE) is trained to learn to generate the scatterer's geometry from a lower-dimensional latent representation constrained to adhere to the Gaussian distribution. A cohesive inverse neural network (INN) framework is set up comprising a sequence of appropriately designed dense layers, the already-trained generator as well as a separately trained forward neural network. The images reconstructed at the output of the inverse network are validated through comparison with outputs from the forward neural network, addressing the non-uniqueness challenge inherent to electromagnetic (EM) imaging problems. The trained INN demonstrates an enhanced robustness, evidenced by a mean binary cross-entropy (BCE) loss of $0.13$ and a structure similarity index (SSI) of $0.90$. The study not only demonstrates a significant reduction in computational load, but also marks a substantial improvement over traditional objective-function-based methods. It contributes both to the fields of machine learning and EM imaging by offering a real-time quantitative imaging approach. The results obtained with the simulated data, for both training and testing, yield promising results and may open new avenues for radio-frequency inverse imaging

Liquid chromatographic-tandem mass spectrometric assay for simultaneous quantitation of tofacitinib, cabozantinib and afatinib in human plasma and urine

Purpose: To develop a simple, adequately sensitive, and practical liquid chromatographic-mass spectrometric method to simultaneously quantify three tyrosine kinase inhibitors, viz, tofacitinib (TOF), cabozantinib (CBZ) and afatinib (AFB) after their extraction from both human plasma and urine.Methods: Blood and urine samples were obtained from healthy volunteers who admitted to not being on any medications. The investigated analytes were chromatographically separated on a C18 column (Luna®-PFP 100Å column, 50 mm × 2.0 mm i.d., 3.0 μm) with the aid of a mobile phase containing A; acetonitrile (ACN) and B; 0.01 M ammonium formate buffer (pH 4.1) pumped at a rate of 0.3 mL.min-1 in the ratio A:B, 50:50 v/v. Analyte monitoring was achieved by tandem mass spectrometry interfaced with an electrospray ionization source with the aid of multiple reaction monitoring (MRM) mode for analytes quantification.Results: The proposed method permitted a specific and sensitive determination of the investigated TKIs in the linear range of 1.0 - 100 ng mL-1 with correlation coefficient (r2) of 0.9991, 0.9997, and 0.9998 for TOF, CBZ and AFB, respectively. The method was validated with regard to its limits of quantification (ranging from 0.91 to 1.24 ng mL-1 for the 3 analytes), intra- and inter assay accuracy (in the range -1.85 to 1.22 %) and precision (0.71 - 5.12 %). The method was also validated in terms of recovery from both studied matrices, robustness and matrix effect.Conclusion: The results obtained reveal that the developed method is simple, specific and highly efficient for routine determination of the studied analytes in human plasma and urine. It can be reliably applied for high throughput analysis of clinical samples containing the investigated analytes.Keywords: Tyrosine kinase inhibitors, Tofacitinib, Cabozantinib, Afatinib, LC-MS/MS, human plasm

A novel secure artificial bee colony with advanced encryption standard technique for biomedical signal processing

Over the years, the privacy of a biomedical signal processing is protected using the encryption techniques design and meta-heuristic algorithms which are significant domain and it will be more significant shortly. Present biomedical signal processing research contained security because of their critical role in any developing technology that contains applications of cryptography and health deployment. Furthermore, implementing public-key cryptography in biomedical signal processing sequence testing equipment needs a high level of skill. Whatever key is being broken with enough computing capabilities using brute-force attack. As a result, developing a biomedical signal processing cryptography model is critical for improving the connection between existing and emerging technology. Furthermore, public-key cryptography implementation for meta-heuristic-based bio medical signal processing sequence test equipment necessitates a high level of skill. The suggested novel technique can be used to develop a secure algorithm of artificial bee colony, which depend on the advanced encryption standard (AES). AES can be used to reduce the encryption time and to increase the protection capacity for health systems. The novel secure can protect the biomedical signal processing against plain text attacks

Teacher Efficacy and Commitment in Teaching Arabic: A Correlational Study

Teacher efficacy researches have been widely examined by many researchers in various context and subject areas. Yet, in the field of Teaching Arabic as a Foreign Language (TAFL) , the investigation into teacher's efficacy and its relation to their commitment is extremely uncommon. Therefore, the current study explores the validity and reliability of the instrument used in assessing teacher's efficacy in teaching Arabic and also their commitment to teaching. The study also examined Arabic teaching efficacy in relation to teacher commitment. The current study involved 252 teachers out of 487 teachers from 57 National Religious Secondary Schools throughout Malaysia. A structural equation modelling with AMOS was employed to investigate the effects of hypotheses model. Confirmatory factor analysis supported the adequacy of the constructs of teacher efficacy and teacher commitment and found that the two constructs were multidimensional constructs with four underlying dimension respectively. The findings also showed that teacher efficacy influence teacher commitment. Several essential theoretical implications for developing and enhancing teachers in the Malaysian Secondary Arabic education context have arisen from the current study

Leptin, Obesity and IgE in patients with Asthma and Allergic Rhinitis

Background: Asthma is a chronic inflammatory disease of the respiratory airways with a worldwide prevalence. This study was performed to evaluate the role of leptin on asthma and /or allergic rhinitis, and to study asthma-obesity-leptin relationship. Methods: A cross sectional study was performed on asthmatic patients (190), allergic rhinitis patients (110) and healthy control subjects (48). Results: Serum leptin was significantly higher at asthma with overweight, asthma with metabolic syndrome, allergic rhinitis with overweight patients than of control subjects, while it was of no significant statistical difference at asthma with normal weight, allergic rhinitis with normal weight patients than of healthy control individuals. Body mass index was significantly higher in asthma with overweight patients; asthma with metabolic syndrome and allergic rhinitis with overweight. It was of no significant difference in asthmatic with normal weight patients, allergic rhinitis with normal weight than of control subjects.  FEV1 was significantly lower in asthma with normal weight patientss; asthma with overweight; asthma with metabolic syndrome; allergic rhinitis with normal weight; allergic rhinitis with over weight than in control subjects. Conclusion: Leptin was significantly higher in patients with asthma and allergic rhinitis as compared to healthy non allergic individuals and it was influenced by BMI and presence of metabolic syndrome in allergic patients. BMI influence FEV 1 in both asthmatic and allergic rhinitis patients

Therapeutic Implications of Caffeic Acid in Cancer and Neurological Diseases

Caffeic acid (CA) is found abundantly in fruits, vegetables, tea, coffee, oils, and more. CA and its derivatives have been used for many centuries due to their natural healing and medicinal properties. CA possesses various biological and pharmacological activities, including antioxidant, anti-inflammatory, anticancer, and neuroprotective effects. The potential therapeutic effects of CA are mediated via repression and inhibition of transcription and growth factors. CA possesses potential anticancer and neuroprotective effects in human cell cultures and animal models. However, the biomolecular interactions and pathways of CA have been described highlighting the target binding proteins and signaling molecules. The current review focuses on CA’s chemical, physical, and pharmacological properties, including antioxidant, anti-inflammatory, anticancer, and neuroprotective effects. We further described CA’s characteristics and therapeutic potential and its future directions

Factors Influencing Participation in COVID-19 Clinical Trials: A Multi-National Study

In 2020, the World Health Organization has characterized COVID-19, a disease caused by infection with the SARS-CoV-2 virus, as a pandemic. Although a few vaccines and drugs have been approved to, respectively, prevent or treat the disease, several clinical trials are still ongoing to test new vaccines or drugs to mitigate the burden of the pandemic. Few studies have shown the role of host genetics in disease prognosis and drug response highlighting the importance of diverse participation in COVID-19 clinical trials. The goal of this study is to assess public attitudes in Egypt, Saudi Arabia, and Jordan toward participating in COVID-19 clinical trials and to identify the factors that may influence their attitude. An online questionnaire was developed and distributed among the target group through social media platforms. The number of responses was 1,576. Three quarters (74.9%) of participants heard about clinical trials before, 57.6% of them had a positive attitude toward participation in COVID-19 clinical trials. The conduct of clinical trials in accordance with the scientific, research, and ethical guidelines was a strong predictor of willingness to participate in clinical trials. Other positive factors also included protection of family from COVID-19 and contributing to the return to normal community life as well as receiving additional healthcare benefit was the fourth significant predictor. On the other hand, the thought that clinical trials can have a negative impact on the health of participants strongly predicted the unwillingness of individuals to participate in such trials. This was followed by having limited information about the novel coronavirus and COVID-19 and the lack of trust in physicians and hospitals. In general, Arab citizens are accepting the concept and have a positive attitude toward COVID-19 clinical trials. Increasing awareness of COVID-19 and clinical trials, enforcing the concept of altruism, and placing clear policies in conducting clinical trials are needed to increase participation in clinical trials among Arabs