A REVIEW ON PHYTOCHEMICAL AND PHARMACOLOGICAL POTENTIAL OF WATERCRESS PLANT

Nasturtium officinale (family: Brassicaceae) that is commonly known as watercress is a fast-growing aquatic or semi-aquatic perennial plant native to Europe, Central Asia. It is a highly significant food supplement, extensively consumed with salad, juices, or other dishes as an ingredient, flavor, or garnish. The leaves are traditionally used as stomachic, depurative, diuretic, expectorant, hypoglycemic, odontalgic, and stimulant. Meanwhile, it has been used to treat jaundice, asthma, bronchitis, scurvy, tuberculosis, urinary tract infection, and calculi. N. officinale is rich in glucosinolates, carotenoids, polyphenols, as well as Vitamin C, Vitamin A, and α-tocopherol. It is the main source of iron, calcium, iodine, and folic acid

COUMARINS: A UNIQUE SCAFFOLD WITH VERSATILE BIOLOGICAL BEHAVIOR

Benzopyrones are the club of compounds that can be coumarins or flavonoids. The hydroxyl derivatives of coumarins such as 4-hydroxycoumarins and 7-hydroxycoumarins have extensive biological activities which have employed for the synthesis of miscellaneous coumarin derivatives. These derivatives have exhibited impressive pharmacological and physiological activities such as anticoagulant, antibacterial, antiviral, antitumor, bactericidal, fungicidal, anti-inflammatory agents, and anti-HIV activity. This review comprised pharmacokinetic studies, including absorption, distribution, and metabolism of coumarin analogs along with toxicological studies. The studies of coumarins and their derivatives exhibiting immense pharmacological activity are also summarized in the current study

A comparative study on treatment seeking behaviour of geriatric population in rural and urban areas of district Kanpur, Uttar Pradesh

Background: Aging is a complex and universal life process. Treatment seeking behaviour in elderly is affected by socio-economic factors and by affordability, availability and accessibility of healthcare. Objectives: To study treatment-seeking behaviour of the study subjects. To compare treatment seeking behaviour among rural and urban study subjects. Methods: This was a cross-sectional study conducted in the Kanpur district. Selection of villages in rural and mohallas in urban areas was done using a multistage random sampling technique. A total of 600 subjects were studied, including 400 from urban areas and 200 from rural areas. Elderly persons>60 years of age, both males and females were included in the study. Results: Overall, out of 600 study subjects, 59.8% were taking treatment in rural areas and in urban areas 77.6% were taking treatment. In urban areas, more females availed treatment compared to rural areas. Majority of study subjects (56.5%) sought treatment from a government hospital. Only 36% subjects had health insurance. Conclusion: In Urban areas more subjects availed treatment as compared to rural areas. Majority of subjects sought treatment from government health facilities. Lack of financial support and long waiting time were major reasons for not availing health care

The study of outcome of pregnancy with first trimester vaginal bleeding and its complications

Background: To study the pregnancy outcome of the first trimester vaginal bleeding and to assess the maternal pregnancy complications associated with this pregnancy.Method: The prospective observational study was conducted in the department of obstetrics and gynecology, L.L.R.M. medical college and associated SVBP hospital, Meerut during one year period from June 2020 to May 2021 with the sample size of 100 patients who fit the inclusion criteria were included in the study after obtaining an informed and written consent. Results: Among the patients presented with first trimester vaginal bleeding, ectopic pregnancy was noted in 7%, hederiform mole in 3%, 17% aborted in the first trimester itself, 73% of patients that continued pregnancy after first trimester 3% had second trimester miscarriage.70% who reached beyond viability gestational age 52% delivered vaginally, out of which 27.14% had preterm delivery, 18% were delivered by caesarian section. The adverse perinatal outcome noted in the study were LBW (23, 32.85%), preterm birth (19, 27.14%), NICU admission (25, 35.71%), FGR (8, 11.43%) and intrauterine fetal death (2, 2.86%). The   maternal complication associated with pregnancy noted in the study were anemia (29,54.72%), PIH (6, 11.32%), placenta previa (5, 9.43%), placental abruption (3, 5.66%) and PPROM (8, 15.09%).Conclusions: There is positive correlation between first trimester vaginal bleeding and adverse feto-maternal outcome. The fetus is in increased risk of LBW, Preterm birth, NICU Admission, FGR and fetal death. The patients are in increased risk of having maternal complication like anemia, PIH, Placenta previa, Placental abruption and PPROM

Impact of co-morbidities in COVID -19 infected patients

Background- During the COVID- 19 pandemic in the first wave, infected patients age was range from 4 weeks to 90 years and those who have more age and with comorbidities are more susceptible to develop serious illness and have high mortality rates. Objective-To study the association between survivor vs non survivor on the basis of demographic profile and high risk factors. Material & methods: This study was done in the Government Medical College, Kannauj on the COVID-19 patients who were admitted in the isolation wards, from 1st September 2020 to December 31st 2020. Statistical Analysis- Analysis was done using SPSS- 23 trial version software. Results: case fatality rate was 2.7% in this study. Most common symptoms was cough (61.0%) and among these admitted patients the most common comorbidities was hypertension (26.7%), followed by diabetes (20.7%), and COPD (14.0%) respectively. Platelets (< 0.02), post prandial blood sugar (PPBS) (< 0.01) have significant role in survivability of COVID- 19 patients. Conclusion: This study concludes that those patients who were older in age and with comorbidity especially (hypertension, COPD, high PPBS, High platelets) have poorer prognosis as compare to those without

IoT Enabled Real Time Appearance System using AI Camera and Deep Learning for Student Tracking

Internet of Things based Automatic Attendance Management systems that use Artificial Intelligent cameras and deep learning algorithms can suggestively advance the accuracy and proficiency of class presence following in schools, colleges as well as universities. This technology involves the use of cameras that are placed in classrooms or other areas where attendance needs to be monitored.The cameras are equipped with advanced deep learning algorithms that can detect and recognize students based on their unique facial features. These algorithms use machine learning techniques to analyse images and identify individual faces, even in varying lighting conditions and different angles.The data collected by the cameras is then transmitted to an Intenet of Things based platform, which stores and approach the attendance data in real time. This platform can also be used to generate reports and analytics on attendance, helping teachers and administrators make data driven decisions to improve student performance