Evaluation of the role of rs2227983 polymorphism of EGFR gene in the development of allergic asthma

The objective of the study: to study rs2227983 polymorphism of EGFR gene in patients with allergic asthma and healthy individuals.Subjects and Methods. 179 patients suffering from allergic asthma were included in the study. The diagnosis and degree of severity were established in accordance with the GINA recommendations. The Control Group included apparently healthy individuals (n = 217). Patients with allergic asthma underwent standard laboratory and instrumental examinations and DNA typing.Results. A statistically significant predominance of AG genotype frequency in the group of patients with allergic asthma, including women, versus the group of healthy individuals, was established. AG rs2227983 genotype of EGFR gene was found to be significantly more common in patients with mild and moderate allergic asthma including women, than in healthy individuals, including women.Conclusion. The association of rs2227983 polymorphism of EGFR gene with allergic asthma has been established. A homozygous GG genotype may play a protective role against the disease.

Diagnostic markers of human papillomavirus persistence and progression of cervical intraepithelial neoplasia

Cervical intraepithelial neoplasia is widespread among patients of the reproductive period, the peak of the incidence occurs at a young age, often when the reproductive function has not yet been performed. The oncological alertness of the medical community is justified: the incidence of cervical cancer has increased by 24.6% over the past ten years, and in the structure of cancer mortality in the age group of 30–39 years cervical cancer occupies the 1st place accounting for 23%. Тhe same time aggressive management of the disease in patients who have not yet performed their reproductive function is associated with the loss of significant volume of cervical tissues and an increase in the frequency of premature birth. The most acute issue is the tactics of managing cervical neoplasia of the second degree of severity, when there is still hope for the regression of the disease, but at the same time there is a high risk of transition to dysplasia of the third degree of severity and subsequently to invasive cancer. The search for diagnostic markers that allow predicting the probability of regression and, conversely, the unfavorable course of the disease is the most important task solution of which will allow optimizing tactics in controversial clinical cases and avoiding unnecessary surgical aggression, improving the perinatal outcomes of patients undergoing surgical treatment. The search for new economically feasible and diagnostically valuable markers allowing us to predict the course of the disease and determine the amount of necessary surgical treatment continues, but the most significant at this moment is still the determination of the coexpression of p16 and Ki-67 in immunocytochemical studies and p16INK4a in immunohistochemical studies. The diagnostic sensitivity of determining the co-expression of p16INK4a/Ki67 is 98.5%, and the expression of p16INK4a in CIN II indicates that in 81% of cases there is a tendency to a progressive course of the disease.

DIAGNOSIS OF COVID-19 BASED ON ARTIFICIAL INTELLIGENCE MODELS AND PHYSIOLOGICAL SENSORS: REVIEW

Covid-19 invaded the world very quickly and caused the loss of many lives; maximum emergency was activated all over the world due to its rapid spread. Consequently, it became a huge burden on emergency and intensive care units due to the large number of infected individuals and the inability of the medical staff to deal with patients according to the degree of severity. Covid-19 can be diagnosed based on the artificial intelligence (AI) model. Based on AI, the CT images of the patient’s chest can be analyzed to identify the patient case whether it is normal or he/she has Covid-19. The possibility of employing physiological sensors such as heart rate, temperature, respiratory rate, and SpO2 sensors in diagnosing Covid-19 was investigated. In this paper, several articles which used intelligent techniques and vital signs for diagnosing Covid-19 have been reviewed, classified, and compared. The combination of AI and physiological sensors reading, called AI-PSR, can help the clinician in making the decisions and predicting the occurrence of respiratory failure in Covid-19 patients. The physiological parameters of the Covid-19 patients can be transmitted wirelessly based on a specific wireless technology such as Wi-Fi and Bluetooth to the clinician to avoid direct contact between the patient and the clinician or nursing staff. The outcome of the AI-PSR model leads to the probability of recording and linking data with what will happen later, to avoid respiratory failure, and to help the patient with one of the mechanical ventilation devices.

Problems facing public school principals in Jordan in managing educational crises in light of the corona pandemic from their point of view: مشكلات المدارس الحكومية الأردنية بمديرية الزرقاء في مواجهة وإدارة الأزمات التربوية في ظل جائحة كورونا من وجهة نظر مديريها

The study aimed at the problems facing public school principals in Jordan in managing educational crises in light of the Corona pandemic from their point of view. In public schools affiliated to the First Zarqa Directorate in Jordan, the results of the study showed a problem facing government school principals in Jordan in managing educational crises in light of the Corona pandemic, obtaining an overall average (3.78 out of 5), with a degree of severity (high).

Objective Laryngoscopic Measures From Older Patients With Voice Complaints and Signs of Aging

Purpose The purpose of this study was to use objective measures of glottal gap, bowing, and supraglottic compression from selected images of laryngoscopic examinations from adults over 60 years of age with voice complaints and signs of aging to test current hypotheses on whether degree of severity impacts treatment recommendations and potential follow-through with treatment. Method Records from 108 individuals 60 years or older with voice complaints and signs of aging were reviewed. Three objective measures (normalized glottal gap area [NGGA], total bowing index, and normalized true vocal fold width) were derived. Each measure was subsequently divided into three categories by severity: absence, small degree, or large degree. Nonparametric statistics tested associations between severity and treatment recommendations as well as potential follow-through. Results Noninvasive treatments (observation/voice therapy) were marginally associated with no glottal gap ( p = .09). More invasive treatments (injection/bilateral thyroplasty) were associated with glottal gaps being present ( p = .026), but bilateral thyroplasty recommendations were not significantly associated with the largest gaps. Treatment modalities were not characterized by specific severity categories for any of the objective measures. No significant differences were found for any of the three objective measures between those who followed through with recommended treatment and those who did not. Discussion Results demonstrated some support for current hypotheses on how degrees of severity of objective measures relate to treatment recommendations. Of the three measures, NGGA appears to be more informative regarding treatment recommendations and follow-through, but due to low power, larger sample sizes are needed to confirm clinical relevance.

An Approximate List of Markers (Criteria) for the Possible Involvement of Minors in Criminal Subculture on the Example of AUE

One of the most acute problems of the Russian state today is the problem of youth crime. The mass dissemination of the values of the criminal subculture among young people is a consequence of the complete denial of the system that has developed in society, as well as the fundamental social and political institutions. The article presents the main markers that allow us to draw conclusions about the possible involvement of minors in the criminal subculture of AUE. The classification of involvement markers according to their degree of severity (direct and indirect) is presented. The conclusion is made about the importance of markers for the prevention and counteraction of the involvement of young people in the criminal subculture of AUE.

Clinical Characteristics and degree of severity of COVID-19 in Hemodialysis Patients in Armed Forces Institute of Urology.

Introduction This study was conducted to evaluate the clinical characteristics and severity of COVID -19 in hemodialysis patients at from 1st March 2020 to 15th August 2020. Methodology It was a prospective and Cross Sectional Observational Study. We collected data prospectively that includes all patients on maintenance hemodialysis and reviewed clinical characteristics of those with laboratory-confirmed COVID-19 between March 1and August 15, 2020. Results 39 out of 268 dialysis dependent patients had COVID-19. Mean age of patients was 55.9yrs. Only 35.8% patients were symptomatic. 15 out of 39 were having mild disease,12 had moderate and 12 had severe disease. Females (54.5%) were found to be more affected than males(45.5%). Dry cough was the commonest symptom (53.8%) followed by fever (46.1%) and abdominal pain(18.1%). Patients with multiple comorbidities were found to have severe disease. Conclusion We concluded that patients receiving maintenance hemodialysis are susceptible to COVID-19 and that hemodialysis centers are high risk for spread of infection. Isolating patients with COVID-19 can help in preventing the spread of COVID-19.

One hundred typical mistakes and violations of biotechnics of artificial breeding of Pacific salmon

The article lists the main and typical mistakes in the process of artificial breeding of Pacific salmon. All errors and violations are grouped by the periods of the production process (stages of the biotechnical chain), starting from working with producers and ending with the release of juveniles into natural reservoirs and watercourses. In addition, the degree of severity, economic and environmental consequences of such violations of biotechnics – immediate or delayed in their manifestations-are briefly described.

For Honor, for Toxicity

Is it possible to detect toxicity in games just by observing in-game behavior? If so, what are the behavioral factors that will help machine learning to discover the unknown relationship between gameplay and toxic behavior? In this initial study, we examine whether it is possible to predict toxicity in the MOBA gameFor Honor by observing in-game behavior for players that have been labeled as toxic (i.e. players that have been sanctioned by Ubisoft community managers). We test our hypothesis of detecting toxicity through gameplay with a dataset of almost 1,800 sanctioned players, and comparing these sanctioned players with unsanctioned players. Sanctioned players are defined by their toxic action type (offensive behavior vs. unfair advantage) and degree of severity (warned vs. banned). Our findings, based on supervised learning with random forests, suggest that it is not only possible to behaviorally distinguish sanctioned from unsanctioned players based on selected features of gameplay; it is also possible to predict both the sanction severity (warned vs. banned) and the sanction type (offensive behavior vs. unfair advantage). In particular, all random forest models predict toxicity, its severity, and type, with an accuracy of at least 82%, on average, on unseen players. This research shows that observing in-game behavior can support the work of community managers in moderating and possibly containing the burden of toxic behavior.