Tubal lymphangioma associated with ectopic pregnancy: a rare case report

Cavernous lymphangioma is a rare benign lymphatic neoplasm which occurs in occur in oral cavity, limbs, and abdomen. Presentation of cavernous lymphangioma of the fallopian tube is extremely rare. Cavernous lymphangioma presenting in a case of ectopic pregnancy is discussed below

Importance of Fifth Generation Wireless Systems

Fifth generation wireless communications are denoted by 5G technology. 5G schemes are coming from first generation analog communication, 2G of Global System for Mobile communication (GSM), then 3G of Code Division Multiple Access (CDMA), after that fourth generation of long-term evaluation (LTE), and now fifth generation World Wide Wireless Web (WWWW). This research investigation presents issues, challenges, and the importance of 5G Wifi communication. In the 5G digital cellular network, the coverage area of the service providers is separated into small area called cells. All the audio, video, and image files are digitized and converted by an ADC (Analog to Digital Converter) and transmitted through stream of bits. 5G wireless devices are communicated using radio waves in a geographically reusable common pool of frequency band. Using wireless backhaul connection, the local antennas are connected with the internet/telephone network. Spectrum speed is substantially higher in millimeter wave. Hence, this was considered in this work

INVESTIGATION OF MICROBIAL COUNT IN THE SOIL AND EARTHWORM GUT (EUDRILUS EUGENIAE)

ABSTRACT The soil microbes are highest in compared with earthworm gut of  Eudrilus eugeniae. Microbes are soaring numbers of present in middle gut and several nutrients are gift within the soil. In soil, including  pH,  nitrogen,  phosphorus,  potassium,  zinc,  manganese,  iron  and  copper.  Earthworm gut from E. eugeniae compared with soil contains highest bacterium and fungi. E. eugeniae gut and soil present in the bacterial colony (Total count  - 787.33; Per cent – 78.7%); fungal colony (Total  count  –  610.66;  Per  cent  –  61.0  %).  From  the  results  it  can  be  terminated  the  bacterial populations was a lot of within the soil and midgut region of E. eugeniae. Keywords: Soil, Earthworm gut, Bacteria, Fungi and Eudrilus eugeniaeÂ

Techniques for predicting dark web events focused on the delivery of illicit products and ordered crime

Malicious actors, specially trained professionals operating anonymously on the dark web (DW) platform to conduct cyber fraud, illegal drug supply, online kidnapping orders, CryptoLocker induction, contract hacking, terrorist recruitment portals on the online social network (OSN) platform, and financing are always a possibility in the hyperspace. The amount and variety of unlawful actions are increasing, which has prompted law enforcement (LE) agencies to develop efficient prevention tactics. In the current atmosphere of rapidly expanding cybercrime, conventional crime-solving methods are unable to produce results due to their slowness and inefficiency. The methods for accurately predicting crime before it happens "automated machine" to help police officers ease the burden on personnel while also assisting in preventing offense. To achieve and explain the results of a few cases in which such approaches were applied, we advise combining machine learning (ML) with computer vision (CV) strategies. This study's objective is to present dark web crime statistics and a forecasting model for generating alerts of illegal operations like drug supply, people smuggling, terrorist staffing and radicalization, and deceitful activities that are connected to gangs or organizations showing online presence using ML and CV to help law enforcement organizations identify, and accumulate proactive tactics for solving crimes

Design of Multi-Renewable Energy Storage and Management System Using RL-ICSO Based MPPT Scheme for Electric Vehicles

Nowadays, traditional power systems are being developed as an emergence for the use of smart grids that cover the integration of multi-renewable energy sources with power electronics converters. Efforts were made to design power quality controllers for multi-renewable energy systems (photovoltaic (PV), Fuel Cell and Battery) to meet huge energy demands. Though there have been several techniques employed so far, the power quality issue is a major concern. In this paper, a multi-objective optimal energy management system for electric vehicles (EVs) is proposed using a reinforcement learning mechanism. Furthermore, the maximum power point tracking (MPPT)-based Reinforcement Learning-Iterative cuckoo search optimization algorithm (RL-ICSO) along with the Proportional Integral Derivative (PID) controller is incorporated. For this, a renewable energy source is considered as input for eliminating voltage and current harmonics. Similarly, a DC to AC inverter using a Model Predictive Control (MPC) controller-based pulse generation process was carried out to incorporate the power quality compensation of multi-renewable energy microgrid harmonics in three-phase systems. The generated energy is checked for any liabilities by adding a fault in the transmission line and thereby rectifying the fault by means of the Unified Power Quality Controller (UPQC) device. Thus, the fault-rectified power is stored in the grid, and the transmitting power can be used for EV charging purposes. Thus, the energy storage system is effective in charging and storing the needed power for EVs. The performance estimation is carried out by estimating the simulation outcome on Total Harmonic Distortion (THD) values, parameters, load current and voltage. In addition, the performance estimation is employed, and the outcomes attained are represented. The analysis depicts the effectiveness of the power and energy management ability of the proposed approach

An Interventional Study on the Impact of Pictorial Primed Lecture Session towards the Performance at Lower and Higher Cognitive Domain Levels among 1st Year Medical Undergraduates

Introduction: Lectures play a major role in teaching large group of learners in a medical institution. Priming involves familiarising students with background information on the cognitive content just before its actual delivery during lecture sessions. Considering the monotonous textual lectures of present day medical education, there is always a need for making the lecture sessions interactive at the same time improving the performance of the learners at the cognitive level. Aim: To assess the performance of 1st year medical undergraduates at lower and higher cognitive domain levels after pictorial concept priming before lecture session. Materials and Methods: The present study was an educational interventional study and a prospective cohort design, the study was conducted during March to April 2019 in Department of Biochemistry, Melmaruvathur Adhiparasakthi Institute of Medical Sciences (MAPIMS) Tamil Nadu, India, as a part of Advance Course in Medical Education (ACME) 2018B Project work. With sample size suggestion made using universal sampling techniques, 120 Phase I medical undergraduates of both sexes aged 17-21 years were enrolled into the study who were divided into two groups, randomised, cohort-60 and control-60 students. The lecture delivery was on glycolysis pathway for both groups with cohort alone being primed using standardised polygonal pictorial concepts during priming session before lectures. Cognitive performance assessment after lecture being made using validated Multiple Choice Question (MCQ) questionnaire which included five lower cognitive level questions at recalling aspects and five higher cognitive level questions at creating aspects and total attainable cognitive performance score at 10. Scores obtained were tabulated and statistical analysis was done using Independent sample t-test for mean score comparisons and relative risk estimation at lower and higher cognitive domain levels using Statistical Package for the Social Sciences (SPSS) version 18.0. Results: The results of the present study showed that cohort group who were primed with pictorial concepts had significantly higher mean score at total cognitive performance score (7.03±1.37) than the control group (6.15±1.83) at (t=-2.98, p=0.003) and significantly higher mean score at higher cognitive performance score (3.75±1.14) than the control group (3.20±1.33) at (t=-2.42, p=0.01) who were not primed with pictorial concepts. However, the results obtained at the lower cognitive performance scores which although shows a higher score among cohort group with mean value (3.28±1.09) when compared to control group with mean value (2.95±1.01), the mean difference obtained remains insignificant (t=-1.73, p=0.08). Exposure outcome relative risk estimation on priming exposure to outcome (50% total cognitive score) showed primed group which is RR=1.567 (0.895-2.744). Conclusion: The study concludes that priming sessions using pictures have a significant impact on improving the cognitive performance of the learners when delivered during lecture sessions in a medical college. Adding to the conclusion, the impact of the pictorial priming sessions is even more on the higher level cognitive performance, which includes evaluating and creating aspects of the knowledge domain. This reiterates the role of the importance of dual added benefits of pictures and priming during teaching cognitive domain aspects of lecture sessions in medical institutions

Analysis of Haematological Parameters of Peripheral Blood in COVID-19 Patients with a Special Emphasis on D-dimer

Introduction: Coronavirus disease 2019 (COVID-19) is assessed by nasal / throat swab test, and further confirmed by Polymerase Chain Reaction (PCR) technique, albeit the dayto-day monitoring of COVID-19 patients depends largely on biochemical and haematological tests. There are differing results by various studies with respect to haematological parameters in Covid 19 infection. Hence this study was undertaken to analyse the haematological parameters in Covid 19 infection. Aim: To analyse the haematological parameters in peripheral blood samples of COVID-19 patients with a special emphasis on D-dimer. Materials and Methods: A prospective study was conducted on 75 Covid 19 patients, for six months from August 2020 to January 2021 in Department of Pathology, ESIC Medical College Sanath Nagar, Hyderabad, Telangana, India after obtaining ethical clearance from Institutional Ethical Committee. Patient blood samples were evaluated for complete haemogram, coagulation parameters, followed by correlation with various categories of D-dimer levels. Following demographic assessment, the patient data was then stratified into four distinct categories based on D-dimer levels. Pearson’s correlation test was used to analyse the correlation of D-dimer and fibrinogen levels with various haematological parameters. Stratification analysis of D-dimer categories with haematological parameters were assessed with respect to mean, standard deviation, median and interquartile range, significance (p-value) of which were calculated using Kruskall wallis test. A p-value of <0.05 was considered to be statistically significant. Results: 29 patients (38.7%) belonged to age range of 31-50 years category. Sixteen patients had normal D-dimer levels, 18 had mild elevation, moderately elevated D-dimer levels was noted in 26 patients, followed by 15 patients who had a severe elevation of D-dimer. Changes in Haemoglobin, Red Blood Cells (RBC) count and haematocrit were found to be significantly correlated with D-dimer levels, with p-values of 0.006, 0.021 and 0.010 respectively. Changes in Neutrophil (N) count, absolute Lymphocyte counts (L) and N:L ratio were also found to be having statistically significant correlation (p-values 0.032, 0.011, 0.001 respectively) with D-dimer levels. Conclusion: Assessment of haematological parameters can be a valuable tool in finding the severity of COVID-19 infection, thereby helping the clinicians in triaging, and treating the Covid 19 patient