A Captivating Case of Amoebiasis Cutis with Nodular Fasciitis

Primary cutaneous amoebic infections as well as cutaneous lesions from disseminated amebiasis are exceedingly rare and are more commonly seen in immunocompromised patients. Review of Literature has shown several species that cause cutaneous disease include Entamoeba histolytica, Acanthamoeba, Naegleria fowleri, and Balamuthia mandrillaris. Although cutaneous amoebic infections are rare, they are usually underrecognized and frequently misdiagnosed. Hence, it is important for pathologists to be aware of this histomorphologic appearance and diagnostic pitfalls when evaluating a skin lesion. Primary cutaneous amoebic abscess in association with nodular fasciitis in an immunocompetent patient

Amoebic Splenic Abscess A Rare Case Report

Primary splenic amoebic infections are rare and more commonly seen in immunocompromised patients. Though amoebic infection is common in tropical regions or areas having poor hygienic practices. It’s the 3rd most common cause of parasitic death and has 15% prevalence in India. Review of literature has shown several species that cause splenic amoebiasis followed by Amoebiasis colitis due to feco-oral transmission. In this case, The entry of amoeba into the spleen may be explained by trauma due to the increased movement of fluid into the injured area. Once in splenic parenchyma, amoeba causes proteolytic destruction and abscess formation. Hence, it is important for pathologists to be aware of this histomorphologic appearance and diagnostic pitfalls when evaluating as its easily curable with the use of metronidazole. Peculiarity: Primary amoebic splenic abscess with colourless thickened pus showing E.coli positivit

Establishing Campylobacter culture methods in a clinical diagnostic laboratory and the first report of Campylobacter species isolation in northern Sri Lanka

Introduction: The Enteric Reference Laboratory of the Medical Research Institute (ERL/MRI), Colombo is the only public sector laboratory in Sri Lanka that performs Campylobacter cultures. Due to logistic limitations involving specimen transport from distant sites, efforts were taken to establish Campylobacter culture facilities in our local clinical microbiology laboratory.Methods: A blood-free charcoal-based selective agar medium (Karmali medium) was chosen based on performance characteristics and quality control (QC)/verification performed at the ERL/MRI. A suitable incubating method was assessed and chosen, and QC was performed in our laboratory. A technical staff member of our local laboratory received capacity building training at the ERL/MRI.Results: The quality control/verification process of the Karmali medium was satisfactory. The variable atmospheric incubator was chosen as the incubating method as it was shown to be more economical in the long-term given the anticipated work load and the QC was satisfactory. Following a satisfactory verification process, Campylobacter culture method was introduced in our laboratory. Five C. jejuni and one hippurate-negative C. jejuni/C. coli was detected in faecal specimens of six paediatric patients between May-December 2018. The isolation rate was 2.25% (6/267). Ciprofloxacin resistance was detected in four out of five C. jejuni isolates.Conclusion: Establishing Campylobacter culture methods in a routine clinical diagnostic laboratory will be beneficial in regions with high prevalence of diarrhoeal disease and with logistic limitations for specimen transport to the central reference laboratory. This is the first report of isolation and antimicrobial susceptibility of Campylobacter species from patients in northern Sri Lanka.</p

The development and validation of a scoring tool to predict the operative duration of elective laparoscopic cholecystectomy

Background: The ability to accurately predict operative duration has the potential to optimise theatre efficiency and utilisation, thus reducing costs and increasing staff and patient satisfaction. With laparoscopic cholecystectomy being one of the most commonly performed procedures worldwide, a tool to predict operative duration could be extremely beneficial to healthcare organisations. Methods: Data collected from the CholeS study on patients undergoing cholecystectomy in UK and Irish hospitals between 04/2014 and 05/2014 were used to study operative duration. A multivariable binary logistic regression model was produced in order to identify significant independent predictors of long (> 90 min) operations. The resulting model was converted to a risk score, which was subsequently validated on second cohort of patients using ROC curves. Results: After exclusions, data were available for 7227 patients in the derivation (CholeS) cohort. The median operative duration was 60 min (interquartile range 45–85), with 17.7% of operations lasting longer than 90 min. Ten factors were found to be significant independent predictors of operative durations > 90 min, including ASA, age, previous surgical admissions, BMI, gallbladder wall thickness and CBD diameter. A risk score was then produced from these factors, and applied to a cohort of 2405 patients from a tertiary centre for external validation. This returned an area under the ROC curve of 0.708 (SE = 0.013, p  90 min increasing more than eightfold from 5.1 to 41.8% in the extremes of the score. Conclusion: The scoring tool produced in this study was found to be significantly predictive of long operative durations on validation in an external cohort. As such, the tool may have the potential to enable organisations to better organise theatre lists and deliver greater efficiencies in care

Disease Detection Using Canny’s Edge Detection Algorithm

Crop diseases are commonly brought about by pests, microorganisms, insects that abatement crop efficiency. The proposed framework suggest the rancher about the drop sicknesses to beat the issues. Yield sickness includes any unsafe deviation or modification from the ordinary working. The proposed framework has two stages, the main stage manages the preparation informational index which analyzes the both sound dataset and ailing dataset and second stage manages distinguishing the illness by utilizing shrewd's edge recognition calculation

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Not AvailableNeem (Azadirachta indica A. Juss) is a fast-growing evergreen tree species adopted to wide range of climatic condition and especially suitable for dryland areas. A study was conducted to quantify its potential for carbon sequestration. The study concentrated on estimating biomass and carbon stock of 10-year-old Azadirachta indica plantation under different diameter classes. Biomass production of neem was recorded maximum in root (258.1 t ha-1) followed by primary branch, secondary branch, stem and leaf under 20-30 cm diameter class. The 10-year-old neem plantation showed carbon sequestration potential of about 31.82 kg C tree- 1 (88.15 t C ha-1) in above ground biomass and 17.97 kg C tree-1 (49.78 t C ha-1) in below ground biomass. The maximum average CO2 equivalent was recorded in root followed by primary branch, secondary branch and stem. The carbon dioxide equivalent showed an increasing trend with increased diameter classes.Not Availabl

Effective prediction on music therapy using hybrid SVM-ANN approach

In this world, people are moving with lightning speed. Stress has become a usual thing we experience in our day to day routine. Some factors like work tension, emotional obstacles, brutality, etc lead to stress. Many health issues like headaches, heart problems, depression, etc and psychological issues arise in human beings due to stress. Music therapy gives qualitative results in balancing the physical and psychological issues. Music therapy is an expressive type of art therapy. There are many beneficial effects achieved through music therapy like relaxation, maintain blood pressure level, cure on medical disorders, stability in mood, and improve memory and sleep. Here we aimed to establish the main predictive factors of music listening’s relaxation and the prediction of music for music therapy using various machine learning algorithms such as Decision tree, Random Forest, Artificial Neural Network (ANN), Support Vector Machine (SVM) and hybrid of SVM ANN algorithm. The accuracy of these different methods is critically examined with the help of the accuracy performance metric. Various factors like age, gender, education level, music choice, visual analog scale score before and after listening to music for both individual and therapist suggestions on music are considered for prediction. Our study revealed that SVM-ANN hybrid classifier performance is much better than other machine learning algorithms

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Not AvailableNeem (Azadirachta indica A. Juss) is a fast-growing evergreen tree species adopted to wide range of climatic condition and especially suitable for dryland areas. A study was conducted to quantify its potential for carbon sequestration. The study concentrated on estimating biomass and carbon stock of 10-year-old Azadirachta indica plantation under different diameter classes. Biomass production of neem was recorded maximum in root (258.1 t ha-1) followed by primary branch, secondary branch, stem and leaf under 20-30 cm diameter class. The 10-year-old neem plantation showed carbon sequestration potential of about 31.82 kg C tree 1 (88.15 t C ha-1) in above ground biomass and 17.97 kg C tree-1 (49.78 t C ha-1) in below ground biomass. The maximum average CO2 equivalent was recorded in root followed by primary branch, secondary branch and stem. The carbon dioxide equivalent showed an increasing trend with increased diameter classes.Not Availabl

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