A data quarantine model to secure data in edge computing

Edge computing provides an agile data processing platform for latency-sensitive and communication-intensive applications through a decentralized cloud and geographically distributed edge nodes. Gaining centralized control over the edge nodes can be challenging due to security issues and threats. Among several security issues, data integrity attacks can lead to inconsistent data and intrude edge data analytics. Further intensification of the attack makes it challenging to mitigate and identify the root cause. Therefore, this paper proposes a new concept of data quarantine model to mitigate data integrity attacks by quarantining intruders. The efficient security solutions in cloud, ad-hoc networks, and computer systems using quarantine have motivated adopting it in edge computing. The data acquisition edge nodes identify the intruders and quarantine all the suspected devices through dimensionality reduction. During quarantine, the proposed concept builds the reputation scores to determine the falsely identified legitimate devices and sanitize their affected data to regain data integrity. As a preliminary investigation, this work identifies an appropriate machine learning method, linear discriminant analysis (LDA), for dimensionality reduction. The LDA results in 72.83% quarantine accuracy and 0.9 seconds training time, which is efficient than other state-of-the-art methods. In future, this would be implemented and validated with ground truth data

Bibliometric Analysis of Publications of University Institute of Pharmaceutical Sciences (UIPS), Panjab University, Chandigarh

Panjab University in pharmacy discipline ranked 2nd in NIRF-2019 rankings. The University Institute of Pharmaceutical Sciences (UIPS) of Panjab University Chandigarh is a premier institute of pharmaceutical education and research in India. The present study attempts to analyze research output and publication trends of authors of the UIPS during 2009-2018. The study is based on the data extracted from Scopus database and mainly examines the year-wise research output, major subject-wise contributions, national and international collaborations, most preferred journals, types of publications, authorship pattern, highly cited paper, most prolific authors, keywords and citations pattern of the UIPS during the period of ten years. The study revealed that total 978 research publications have been published by the authors of the UIPS which received 15318 citations during the above said period. The highest collaborative publications (5.32%) were published with United States of America. O.P. Katare is the most prolific author publishing 145 research publications having 2057 citations. Total 88.65% research papers of the institute have been cited by other authors and 14 papers received more than 100 citations

Screening of in vitro derived mutants of banana against nematodes

Investigations were carried out to screen the in vitro derived mutants of banana cv. Robusta (Caveidish- AAA) and Rasthali (Silk- AAB) by using certain bio-chemical parameters including some enzyme activities. The mutants tested were Ro Im V4 6-1-1, Ro Im V4 6-1-2, Ro Im V4 6-2-1, Si Im V4 10-5-3, Si Im V4 4 6-2-5 along with respective susceptible checks (Robusta and Rasthali), tolerant check (Anaikomban- AA) and resistant check (Pisang Lilin- AA). Various biochemical assays used were total phenol, tannin content, lignin content, peroxidase, polyphenol oxidase, phenyl alanine ammonia lyase and ascorbic acid oxidase. The results revealed that the mutants namely Ro Im V4 6-1-1 and Si Im V4 10-5-3 were found to be resistant while the mutant Ro Im V4 6-2-1 was moderately resistant. The rest of the mutants namely Ro Im V4 6-1-2 and Si Im V4 6-2-5 were found to be susceptible to nematodes. The resistant and moderately resistant mutants of banana could be further used in breeding programmes as well as being recognized as potential cultivars of commerce.Key words: Banana, nematode, resistance, biochemical parameters, enzymes, screening

Artificial Intelligence in Maxillofacial Radiology by Leaps and Bounds

Artificial intelligence (AI) is a branch of computer science concerned with building smart software or machines capable of performing tasks that typically require human intelligence. AI is capable of mimicking human brain. Recent advances in machine learning have produced algorithms that allow automated and accurate detection, imaging, diagnosis, as well as other specialties of dentistry, which reduces stressful work and manpower. The AI plays a major role in Dental imaging by diagnosing the conditions based on the Radiographic or optical images. AI technology in dentistry could reduce cost, time, human expertise and medical error.AI in everyday life are growing by leaps and bounds. By no means there exists a doubt in the ascendancy of integrating AI into practice

Adverse drug effects monitoring of amlodipine in a tertiary care hospital

Background: Amlodipine have been widely used drug for the treatment of Hypertension. It has many beneficial effects and less side effects. But, only very few adverse effects of Amlodipine have been documented and many were not reported. So, this study will bring out the possible adverse effect of Amlodipine.Methods: This study included 100 patients with hypertension who are taking amlodipine only. Patients who were willing to participate in the study were given a questionnaire containing demographic data and adverse drug profile of amlodipine. The symptoms of adverse drug reaction were documented. They were also asked about the other symptoms they are having, other than the questionnaire. The causality assessment was done by WHO assessment scale and severity by using modified Hartwig seigel severity assessment scale.Results: This study showed that most of the patients belong to 51-60 years age group. Mostly they were females, and many were having disease for less than a year. Most of the patients developed adverse drug reaction. Many patients had more than one adverse drug reaction. The commonest adverse effect were fatigue, palpitation, dizziness, insomnia, headache, joint pain, light-headedness, somnolence, nausea, flushing abdominal pain, tremor, leg pain, neck pain, back pain and edema. The adverse drug reaction(ADRs) mostly belongs to possible category and were mild.Conclusions: Most of the patients who were taking amlodipine had atleast one adverse drug reaction during their treatment period. It is mild, needs dose adjustment and healthy life style modification

Organophosphorus compound poisoning in newborn

Poisoning is a diagnosis seldom made in neonatal intensive care units as most clinical features such as lethargy, respiratory distress,and poor feeding mimic common neonatal conditions. An 8-day-old male baby presented with complaints of inconsolable crying, poorfeeding, and seizures for 1 day. On admission, he had bradycardia, copious secretions and pin-point pupils, which led to suspicion ofcholinergic over-activity. Cholinesterase levels were 2209 IU/L in baby which increased to 5936 IU/L on day 18 of life. There wasa history of charred vasambu (Acorus calamus) being applied over the tongue. Contamination of vasambu with organophosphateswas suspected which was confirmed by high performance thin layer chromatography analysis showing chlorpyrifos derivatives. Babyimproved gradually with supportive treatment and was discharged on day 18 of life

Assessment of groundwater quality status by using water quality index (WQI) and geographic information system (GIS) approaches: a case study of the Bokaro district, India

Abstract One hundred two groundwater samples were collected from the Bokaro district of Jharkhand state, India, during the pre-and post-monsoon seasons of the year 2014–2015. In the present study, groundwater samples were analysed for pH, TDS, TH, Ca2+, Mg2+, Na+, K+, Cl−, SO4 2−, HCO3 −, F− and NO3 − to evaluate the suitability of the groundwater for drinking purposes through geographic information system (GIS)-based water quality index (WQI) model. For quality assessment, values of analysed parameters of the groundwater samples were compared with the Bureau of Indian standards (BIS) and World Health Organization (WHO) water quality standards. The analytical results indicate slightly acidic to slightly alkaline nature of the groundwater in the study area. Concentrations of Ca2+, Mg2+, HCO3 −, F−, NO3 −, TDS and TH exceeded the desirable as well as permissible limits of drinking water quality standards recommended by the BIS (Indian Standard Drinking Water Specification, 2012) and WHO (Guidelines for drinking water quality: training pack, WHO, Geneva, 2004) in the study area during the pre- and post-monsoon seasons, respectively. However, Na+, K+, Cl− and SO4 2− concentrations were within the permissible limits during both seasons. The hydrochemical analysis of the studied groundwater samples documented with ternary and Durov diagram revealed that most of the groundwater samples belong to HCO3 − type of anions facies and no dominant type of cation facies. The GIS-based WQI maps for the study area indicate that the poor quality of water was found the maximum in the pre-monsoon season as compared to the post-monsoon season in the study area, respectively. The high values of WQI in the several groundwater samples of the Bokaro district indicate that water is not suitable for direct consumptions and it required sustainable treatment before its utilization for drinking uses

PTEROCARPUS MARSUPIUM HEARTWOOD EXTRACT RESTORES LEARNING, MEMORY AND COGNITIVE FLEXIBILITY IN A STZ-NA INDUCED DIABETES ANIMAL MODEL

Objective: Study was designed to assess the P.marsupium heartwood aqueous extract effect on diabetes induced cognitive impairment.Methods: Diabetes mellitus was induced by Streptozotocin (STZ) & Nicotinamide (NA) intraperitoneal route injection. Animals were divided into 7 groups for comparing the activity of P.marsupium at two doses 250 mg/kg & 500 mg/kg b. w against standard (Glibenclamide) & controls groups. Rats having blood glucose above 250 mg/dL were considered as diabetic. Learning & memory was tested using Morris water maze. Time taken to reach the platform (escape latencies) by animals was noted from day 1 to 8 and probe trial was conducted on day 9 to record the time spent in the different quadrants.Results: Blood glucose levels were significantly (p<0.001) reduced in plant treated and glibenclamide groups when compared to diabetic controls. Also both the treated groups had decreased escape latencies in learning phase. During probe trial, test and standard treated groups spent significantly more time in target quadrant with less entries into other quadrants compared to untreated diabetic controls.Conclusion: The results of this investigation revealed that extract of P. marsupium provides beneficial effects on learning and memory in diabetes rats by providing the potential antihyperglycemic action.Keywords: Cognitive impairment, Diabetes mellitus, Diabetic neuropathy, Morris water maze, Pterocarpus marsupium heartwood

Body image perception, eating attitude and influence of media among undergraduate students of medical college in Delhi: a cross sectional study

Background: Body image perception is being shaped by unrealistic ideals portrayed in the media. Body dissatisfaction is one of the most consistent and robust risk factors for eating disorders, low self-esteem, depression, and obesity. Therefore, the objective of the current study is to ascertain the body image perception, abnormal eating attitudes and the role of media among undergraduate students of a medical college in Delhi, India.Methods: Cross-sectional study on 370 undergraduate medical students of Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India selected using stratified random sampling. India. Students completed a self-administered questionnaire which consist of demographic information, perceived body image, Eating Attitudes test (EAT-26) to assess eating attitudes, Socio Cultural Attitude Towards Appearance Questionnaire 3(SATAQ-3) scale for the role of media on body image perception. Data was analyzed using SPSS v21.Results: A total of 370 students (57.6% males and 42.4% females) aged 17-30 years, mean age of 20.30 years±2.02(SD). Abnormal body image perception was seen in 35.4%, 21.1% had abnormal eating attitude (EAT-26≥20), 36.5%, 40.5% agreed to be influenced by models and athletic figures in media respectively, 42.2% accepted that media was their source of information regarding standards of attractiveness, 27.6% felt pressured to be attractive according to SATAQ-3. Males more than females had disordered eating attitudes and felt media pressure to achieve an ideal body image. Significant association was observed between age and perceived body image (p=0.033), gender and EAT-26 score (p=0.039), EAT 26 and perceived body image (p=0.006), general internalization of media and perceived body image (p=0.003), internalization-general, internalization-athlete, media as source of information and EAT-26 score (<0.001, 0.001, 0.003 respectively).Conclusions: The media should take more responsibility to not represent unrealistic ideals of body image concerning both males and females. Educational and preventive efforts at institutional levels should be made to promote a healthy body image and eating behaviours

Lingual mandibular bone defect: A case report and review

Lingual mandibular bone defect is an asymptomatic radiolucent lesion of the mandible and usually encountered during routine radiographic examinations. It is essential to diagnose this lesion because of its resemblance with other odontogenic pathologies. A 67-year-old female patient presented with a case of lingual mandibular bone defect which was an incidental finding. Panoramic radiograph and cone-beam computed tomography were used for diagnosing the defect