Network forensic Log analysis

Network forensics log analysis is the capturing, recording, and analysis of network events in order to discover the source of security attacks. An investigator needs to back up these recorded data to free up recording media and to preserve the data for future analysis. An investigator needs to perform network forensics process to determine which type of an attack over a network and to trace out the culprit. In the cyber-crime world huge log data, transactional data occurs which tends to plenty of data for storage and analyze them. It is difficult for forensic investigators to keep on playing with time and to find out the clues and analyze those collected data. In network forensic analysis, it involves network traces and detection of attacks. The trace involves an Intrusion Detection System and firewall logs, logs generated by network services and applications, packet captures. Network forensics is a branch of digital forensics that focuses on the monitoring and analysis of network traffic. Unlike other areas of digital forensics that focus on stored or static data, network forensics deals with volatile and dynamic data. It generally has two uses. The first, relating to security, involves detecting anomalous traffic and identifying intrusions. The second use, relating to law enforcement according to the chain of custody rule, involves capturing and Analyzing network traffic and can include tasks such as reassembling transferred files.“Stop, look and listen” systems, in which each packet is analysed in a rudimentary way in memory and only certain information saved for current analysis. On this analysis, we propose to archive data using various tools and provide a “unified structure” based on a standard forensic process. This different unified structured IDS data are use to store and preserve in a place, which would be use to present as an evidence in court by the forensic analysis. DOI: 10.17762/ijritcc2321-8169.15053

Prevalence of anemia during pregnancy and its association with adverse perinatal outcomes in Madhya Pradesh, India

Background: The prevalence of anemia in India is increasing day by day and covers almost one third population. Anemia during pregnancy leads many perinatal complications such as miscarriage, abortion and still birth. So, the aim of the study was to determine prevalence of anemia during pregnancy and its association with adverse perinatal outcomes in region of Madhya Pradesh.Methods: The study population consisted of 15-49 years women of reproductive age group from the state Madhya Pradesh, India, which were taken from the National Family Healthy Survey-4 (2015-16). Various perinatal outcomes along with age and residence was cross tabulated and frequencies were generated. The chi-square statistic was used to test the significance.Results: In severe anaemic women prevalence of miscarriage (74.0%) was statistically significantly higher (p<0.05) as comparison to other forms of anemia. Also, in the age group 25-29 years and rural population prevalence of miscarriage (40% and 55%) was highly significant (p<0.001) as comparison to other age group and urban population.Conclusions: The severity of anemia is directly proportional to poor and adverse perinatal outcomes in pregnancy

Grapes Quality Prediction Using Iot & Machine Learning Based on Pre Harvesting

Minimizing&nbsp;pesticide use, preserving water, as well as&nbsp;enhancing soil health are just a few of the sustainable farming techniques that must be carefully considered while growing grapes of a high calibre. These practices can help preserve the environment and ensure the longevity of the vineyard. However, it is difficult for the farmers to find the suitability of the soil and its environment to cultivate grapes with high quality. Thus this research aims to evaluate the fitness of the soil for the fitness of growing quality grapes with the aid of machine learning algorithm. The research was done on Nasik region which is called as the “Grape Capital of India” situated in Maharashtra. Total of 154 villages were considered for the examination and soil specimens were collected and sent to the government testing lab in Maharashtra. The soil characteristics by considering both micro and macro nutrients, and the water characteristics were obtained from the lab. Also the climatic features, quality of the petiole and fruit characteristics were included for creating the dataset. These data was given to six different machine learning algorithm to classify the soil by defining whether the soil is fit for grapes or not. Moreover, this research proposed to analyze the correlation between the nutrients by which the relationship and dependency between the different nutrients and features were considered for defining the grapes quality. Also both the micro and macro nutrients were given equal importance in defining the soil quality suitable for obtaining high quality grapes. Based on the results obtained, Pimpalas Ramche contains more nutrients for the grape to grow more successfully based on samples gathered from different vine yards and the decision tree classifier scores better than any other classifiers among the machine learning algorithms employed in terms of accuracy

Photon-Photon Collision: Simultaneous Observation of Wave-Particle Characteristics of Light

The proposed paper presents the analysis of electromagnetic waves meeting at a point in terms of their particle characteristics. The observation that light beams moves un-deviated when encountered at a point, which is commonly justified on the wave characteristics of light, is now presented as momentum and wavelength exchange phenomenon of photon collision. Theoretical and mathematical justification of photon’s inter-collision, on the basis of their quasi-point particle behavior is offered and the observation of the non-variation of wavelength of light beams is explained. Thus, the observation of light’s non-deviation at the crossing point is explained as momentum exchange phenomenon on the basis of particle characteristics of light. Keywords: Basic Quantum Mechanics, Bohr’s Complementary Principle, Collision Mechanic

A comparative study of oral, sublingual and vaginal route of misoprostol as cervical ripening agent before surgical method of termination of first-trimester pregnancy

Background: Cervical ripening is a critical step for surgical method of termination of first trimester of pregnancy. Misoprostol, PGE1 analogue have promising role as cervical ripening agent. The present study aimed to compare the efficacy and side effects of oral, sublingual and vaginal misoprostol at dosage of 400mcg for cervical priming before surgical method of termination in first-trimester pregnancy.Methods: It was a prospective hospital based randamosied study. Total 150 patients at 6-12 weeks gestation requesting for medical termination of pregnancy were divided equally in to 3 groups. Every group was advised to have single dose of 400 mcg misoprostol either oral, sublingual or vaginal route respectively 4 hour before suction and evacuation.Results: The sublingual group had highly significant cervical dilatation (P<0.001) and the duration of suction and evacuation was less as compared to the vaginal and oral routes (p<0.000). However, the mean intraoperative blood loss was more in sublingual as compared to the vaginal and oral groups. Loose motions and nausea/vomiting were more with oral routes while blood loss was more in the vaginal route.Conclusions: Thus, it can be concluded from present study that sublingual route of misoprostol is more preferable than oral or vaginal route as pro-abortion cervical ripening agent

A comparative study of 4-hour versus 2-hour action line on who modified partograph

Background: World health organization has promoted modified partograph with action line, 4 hour to left of alert line. While others have used various action line 2, 3, or 4 hours to initiate and guide ‘‘active management’’ decisions. Objectives of the study were to evaluate outcome of labour in terms of caesarean section rate, augmentation of labour and fetal outcome in whom labour has been managed with 4-hour vs 2-hour action line on WHO modified partograph.Methods: This was a randomized, prospective, comparative study. Primigravida, 19-28 years, with single live foetus in vertex presentation without any medical and obstetrical complications, at term pregnancy have been included in the study. Results were compared between Group A, with 100 cases, in whom labour has been managed with WHO modified Partograph with 4-hour action line and Group B, with 100 cases, in whom labour has been managed with that of 2-hour action line.Results: The present study shows that more women in 2-hour arm crossed the action line, compared with the 4-hour arm, and therefore received more interventions to augment labour.  Rate of caesarean section is more in group B (11%) than in group A (9%) which is statistically nonsignificant.Conclusions: Neonatal outcome measured with APGAR score at 5 minute, has shown no significant difference in both groups. Therefore, partograph with 2-hour action line doesn’t show any superiority over that of 4-hour action line but to be associated with higher incidence of intervention. Further research is required in this field of active management.

Darkness in the Human Gene and Protein Function Space:Widely Modest or Absent Illumination by the Life Science Literature and the Trend for Fewer Protein Function Discoveries Since 2000

The mentioning of gene names in the body of the scientific literature 1901–2017 and their fractional counting is used as a proxy to assess the level of biological function discovery. A literature score of one has been defined as full publication equivalent (FPE), the amount of literature necessary to achieve one publication solely dedicated to a gene. It has been found that less than 5000 human genes have each at least 100 FPEs in the available literature corpus. This group of elite genes (4817 protein‐coding genes, 119 non‐coding RNAs) attracts the overwhelming majority of the scientific literature about genes. Yet, thousands of proteins have never been mentioned at all, ≈2000 further proteins have not even one FPE of literature and, for ≈4600 additional proteins, the FPE count is below 10. The protein function discovery rate measured as numbers of proteins first mentioned or crossing a threshold of accumulated FPEs in a given year has grown until 2000 but is in decline thereafter. This drop is partially offset by function discoveries for non‐coding RNAs. The full human genome sequencing does not boost the function discovery rate. Since 2000, the fastest growing group in the literature is that with at least 500 FPEs per gene.ASTAR (Agency for Sci., Tech. and Research, S’pore)Published versio

The COVID-19 Pandemic and Mental Health

The COVID-19 crept in silently and subsequently spread at a rapid pace ultimately progressing into a pandemic with a high rate of morbidity, mortality, loss of income and sustained social isolation for billions of people. This sudden human tragedy required heavy adjustment and was difficult to adapt quickly as we humans are gregarious in nature and always need social connect in our lives especially during a crisis. History has shown that mental health impact of pandemics outlasts the physical impact. In general, mental health and related issues are not recognized in public and with global pandemic these silent and insidious issues can be either misdiagnosed or go unnoticed completely

An exploratory study to evaluate the utility of an adapted Mother Generated Index (MGI) in assessment of postpartum quality of life in India

<p>Abstract</p> <p>Background</p> <p>Given the postulated advantages of mother generated index (MGI) in incorporating the patients' viewpoint and in the absence of a validated India specific postpartum quality of life assessment tool we proposed to evaluate the utility of an adapted Mother-Generated-Index in assessing postpartum quality of life (PQOL) in India.</p> <p>Methods</p> <p>The study was integrated into a community survey conducted in one district of Delhi by two-stage cluster randomized sampling to recruit women who delivered in the last 6 months. PQOL was assessed using MGI. Physical morbidity and Edinburgh- postnatal-depression-scale (EPDS) were also recorded for validation purposes.</p> <p>Results</p> <p>All subjects (249 of 282 eligible) participating in the survey were approached for the MGI evaluation which could be administered to 195 subjects due to inadequate comprehension or refusal of consent. A trend towards lower scores in lower socioeconomic stratum was observed (Primary index score-2.9, 3.7 and 4.0 in lower, middle and higher strata; Secondary Index Score-2.6, 3.2 and 3.0 in lower, middle and higher strata). 59.4% mothers had scores suggestive of possible depression (EPDS; n = 172). Primary index score had a good correlation with validator scores like EPDS (p = 0.024) and number of physical problems (p = 0.022) while the secondary index score was only associated with EPDS score (p = 0.020).</p> <p>Conclusion</p> <p>The study documents that the MGI, with its inherent advantages, is a potentially useful tool for postpartum quality of life evaluation in India especially in the absence of an alternative pre-validated tool.</p