International journal of health sciences
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Effect of apical negative irrigation on lateral canals of extracted teeth in endodontic treatment: An original research
Introduction: The aim of this study was to evaluate the efficacy of continuous apical negative ultrasonic irrigation into simulated lateral canals and the apical third in straight and curved root canals. Material and methods: Two simulated lateral canals were created 2, 4 and 6 mm from the working length in 120 single‑rooted teeth (6 canals/tooth, n = 360 straight, n = 360 curved). The teeth were randomly divided into 3 experimental groups: positive pressure irrigation (PPI) (n = 20); passive ultrasonic irrigation (PUI) (n = 20); continuous apical negative ultrasonic irrigation (CANUI) (n = 20). 20% Chinese ink was added to a 5% sodium hypochlorite solution and delivered into the root canals. Results: The results showed a significantly higher(P < 0.05) penetration of irrigant into the lateral canals and up to working length in the CANUI group for straight and curved roots. Conclusion: CANUI improves penetration into the lateral canals and up to the working length of the cleared teeth in straight and curved roots
Blockchain validation framework for COVID-19 testing kit
Throughout the current pandemic situation, the functioning of the Covid-19 testing kits is very critical owing to its necessity in the diagnosis of the disease. The fabrication and supply of these kits is taking place at a large scale, therefore there may be some malpractices in the supply process. The authenticity of the kits is primarily significant and to keep the globe from using the defective kits is a big challenge. Therefore before using the kit, it must have permitted by some authentic and authoritative medical body such as EUA, ICMR, CCMB, etc. So, the validation of these testing kits is vital for the fair conveyance from production houses to the various agencies.. In this paper, we will discuss the framework which assures that the testing kit is approved by different metrics so that any malpractice in the supply chain is detected. The parties which are involved in these supply chain such as Validation, Notary and Manufacturers. Along with the above mentioned parties, buyer also acting an essential part and can inspect whether the kits is approved or not through its batch number. For inspection purpose, the framework is developed using Blockchain technology
Changing roles of frontline workers (FLWs) at health and wellness centres of south-west Bihar: A qualitative study
Background: Ayushman Bharat Program was announced by Government of India in February 2018 with a vision, which is supposed to deliver comprehensive primary health care services to the entire population. Objectives: To obtain views of FLWs about their changing role at health & wellness centre and the challenges being faced by them in service delivery. Methods: A qualitative study done in 10 Health and wellness centres selected nearby Narayan Medical College & Hospital of Rohtas District of Bihar. The frontline workers posted in the selected HWCs were the study participants. Total duration of the study was 10 months. IDI of FLWs were done and the analysis of the verbatims was done using ATLAS-Ti (Free trial version) software. Results: After analysis of the verbatims two broad themes were made and there were several domains & codes under which the result was stated. It was observed that the frontline workers posted at the selected health & wellness centres were aware of the expanded range of services like yoga, school health, geriatric & palliative care being provided but they were also facing some challenges like manpower, equipment, working hour in service delivery. 
Revisiting Chest X-ray potency as a gold standard candidate for early screening of clinical diagnosis for COVID-19 infection
Performing a chest X-ray in an anteroposterior (AP) play an importance role in suppporting the diagnosis COVID-19 infection related to alveolar injury. Positive PCR does not always mean that one person can transmit the COVID-19 infection to another person, because the virus cannot be transmitted when cell culture shows that the virus is not able to prouce in the cells. The aim of this study aims to analyze the potential of chest X-ray examination as a gold standard candidate for the early phase of COVID-19 diagnosis at Dr Saiful Anwar Hospital, Malang. Total 325 data on eligible patients who were treated in the COVID-19 intensive room were recapitulated and analyzed using a retrospective cohort design. The results of the PCR examination as the gold standard for the diagnosis of COVID-19 are projected on the chest X-ray AP feature. Logistic regression analysis was performed to describe the sensitivity of chest X-ray AP for COVID-19 diagnosis. The findings of this study indicate that pneumonia increased the risk of positive COVID-19 0.3 higher than patients who did not show pneumonia
Computed tomography working principle and its application to diagnose adult and pediatric COVID-19 patients
Along with the increasing number of COVID-19 cases around the world, new forms of prevention, diagnosis and treatment for this disease have been widely studied globally. As the virus primarily attacks the respiratory system, computed tomography of the chest (lungs) has played an important role mainly:in the detection of pneumonia in patients with high suspicion (not yet confirmed by laboratory; in the magnitude of the evaluation of pneumonia; and in the monitoring of the respiratory condition (pneumonia) evolution in adult and pediatric patients with laboratory studies that confirm the disease. In this scenario, computed tomography (CT) has proven to be an important ally for health professionals in addition to pediatric and adult patients, since the results can help make a timely decision on the clinical direction to follow. This review paper demonstrated deeply the physical mechanism of CT machine. Moreover, in this review paper, studies have shown that in adult and pediatric patients with laboratory evidence of COVID-19, CT images showed lung lesions with very specific features. 
Maternal circulatory levels of procalcitonin, uric acid, and lipid profile in Early-onset preeclampsia and Late-onset preeclampsia
Aim: To determine the circulatory procalcitonin levels, lipid profile and uric acid levels in patients presenting with preeclampsia and to correlate these with clinical severity of the disease. Methodology: This double blinded case-control study was conducted for two years in department of Obstetrics and Gynecology in collaboration with the department of biochemistry, Government Institute of Medical Sciences, Greater Noida, UP. This study included 80 subjects out of 40 were in group I (Control) and other 40 were in group II (PE patients) admitted in the hospital in third trimester of pregnancy. General demographic and clinical data such as age, gestational week, number of gestation, and BMI were recorded, and the results of routine blood cell counts, PCT and other indicators were also obtained. The PE patients were women younger than 40 years old who met the diagnostic criteria for PE in the guidelines for diagnosis and treatment of hypertensive diseases in pregnancy-2014. The healthy pregnant women were between 24 and 40 years old, with a single fetus, normal fetal development, normal liver and kidney function, and without eclampsia, gestational diabetes mellitus, fetal growth restriction, or history of other adverse pregnancy conditions
Detection of Alzheimer’s disease in MRI images using different transfer learning models and improving the classification accuracy
Alzheimer's disease (AD) is a neurodegenerative illness that damages brain cells and impairs a patient's memory over time. If detected early so, the patient can avoid permanent memory loss and further damage to their brain cells. Various automated technologies and techniques have been developed in recent years for the detection of Alzheimer's disease (AD). Methods that focus on rapid, accurate, and early identification of the condition in order to reduce the negative impact on a patient's mental health are available. Medical imaging systems for Alzheimer’s disease (AD) diagnostic performance have been greatly improved by machine learning models. There is a major difficulty with multi-class classification, however, which is the presence of brain structural characteristics that are extremely closely associated. It is possible to improve deep learning by increasing the number of layers and including features and classifiers at all levels of the classification hierarchy. Nevertheless, the vast majority of deep learning models (like traditional CNN model) fail to deliver acceptable results in real-world situations. 
Towards formulating a methodology for the integrated management of vacant areas to enable the development of Egyptian cities
Vacant areas are a vital resource for the provision of housing projects, services, and infrastructure in Egyptian cities, and can be used, according to their sizes, ownership, and shapes, to support sustainable development processes, and according to the databases of the cities under study from researchers, which represent 20 Egyptian cities, vacant areas represent a proportion ranging between 9-35% of the land use budget. In addition, during the period (2015-2020), the state allowed citizens to return the occupied lands, which contributed to the existence of large areas, but there are many challenges facing the vacant areas management system in terms of the lack of an integrated information system in terms of registration, updating maps, information available to investors and inventory of vacant areas in the state. Also, the institutional framework of vacant areas suffers from fragmentation and is a complex framework. The legislative framework also suffers from the conflict of legislation, so there is a need to review and evaluate the situation currently, and what are the successfully integrated management ideas in reforming the vacant areas system to maximize its role in sustainable development in Egyptian cities
Employing the golden ratio to reach the BFS for T.P.
Transportation problem is critical component of optimization field, as it aims to reduce the total cost of distribution from a set of sources to a set of destinations. Numerous transportation alternatives have been examined in the literature. Certain strategies, such as the northwest corner method (NWC), the low cost method (LCM), and the Vogel approximation method (VAM) were designed to identify the simplest possible solution, while others were designed to identify the optimal solution. The Golden Ratio is employed in this study to approximate the ideal solution. This technique employs the golden ratio to alleviate transportation concerns (1.61803). To begin with, the said ratio is raised to the second lowest cost and we determine the optimal cost of converting amounts from supply to supply peaks, where desired results have been obtained which are solutions that are close to the optimal solution.  
Role of some proteins in resistance of clinical Acinetobacter baumannii isolates to imipenem
Acinetobacter baumannii is one of the ESKAPE pathogens which are the leading cause of nosocomial infections throughout the world. The aim of this study is to detect the role of Some Proteins in Resistance of Acinetobacter baumannii to imipenem. The research included the collection of 100 different clinical specimens of( urine, burns, and wounds) isolated from patients in Al-Diwaniyah Teaching Hospital for the period from September to December 2021. 20 isolates out of 100 isolates belonging to A.baumannii were obtained. The samples were collected from different clinical specimens distributed as follows:7(35%) Swabs of burns,8(40%) swabs of wounds, and 5(25%)from urine, an examination was conducted for (8)Antibiotics by ( Antibiotic Susceptibility Test-AST ) on 20 isolates. The results showed that all isolates are resistant to antibiotics except for imipenem showed a sensitivity of 20% and resistance of 80% to imipenem. The results of the Minimum Inhibitory Concentration level of imipenem that were conducted for five isolates showed that all isolates are resistant to imipenem at concentrations of (128 mg/ml and 256 mg/ml ), while 2(40%) isolates out of 5 isolates were resistant to imipenem in the concentration of 64 mg /ml.