European Journal of Molecular & Clinical Medicine

Background: Hysterectomy is a common surgical procedure most commonly performed in the practice of gynaecology. Non-descent vaginal hysterectomy (NDVH), which is an art of gynaecological surgeons, has established its place in the gynaecological surgeries. Total laparoscopic hysterectomy (TLH) has a steep learning curve, requires modernized OT set-up including special endoscopic instruments and may not be available in all centres. Non-decent vaginal hysterectomy is a viable alternative in such a scenario. Hence these two surgeries have been compared in this study.
Methods: A total 50 patients undergoing hysterectomy for various benign indications, were included in this study. They were divided into two groups of 25 each. One group underwent TLH and the other NDVH. Demographic profile and other peri-operative events were compared and statistically analysed.
Results: NDVH group experienced more pain and required a greater number of analgesic doses. The intra-operative blood loss was more in NDVH group and duration of surgery was significantly higher in NDVH group. Two most common complications in the post operative period were fever and hematuria.

Diabetic retinopathy is an eye-related neurological disorder, the diabetic patient eye damaged by blood vessel in the retina area of the eye. Computational methodology is a proper way for detecting and predicting the diabetic retinopathy disease. The aim is to identify and detect the Diabetic Retinopathy, so this present work focusses on detection of Diabetic Retinopathy. This work proposed the novel WMD-MSVM -Weighted Mahalanobis Distance based Multiclass Support Vector Machine oriented; upon Diabetic Retinopathy diagnosis system for the purpose of feature selection, also ROI extraction method being utilized to fetch features from Diabetic Retinopathy images. From the results, it is clear that the performance of WMD-MSVM on instance selected training dataset yields improved detection accuracy compared with the performance of WMD-MSVM on full-training-dataset. There is an improvement of around 1% of detection accuracy in case instance selected dataset. This proposed work is benefit for diabetic patients to gain the proper treatment by physicians at an early stage for Diabetic Retinopathy. This computational approach to detect   the diabetic which results the best solutions for ophthalmology. The diabetic image analysis and machine learning approach considered as a challenging research area that aims to provide a computational approach to assist in the early diagnosis and detection of Diabetic Retinopathy problems.

Background: The introduction of MALDI-TOF MS, BD PHOENIX, and VITEK-2
equipment into the clinical microbiology laboratory has changed the techniques of
fungal identification. This technique can be used to find cryptic species that have
critical susceptibility patterns. The MALDI-TOF MS, BD PHOENIX, and VITEK-2
systems were used to identify clinical strains. Assuming MALDI-TOF MS isolate
identification as standard, discrepancies between three approaches were evaluated.
Finally, these isolates were subjected to in vitro susceptibility testing.
Results: The agreement between the two approaches for 498 yeast isolates was 93.6
percent (32 discrepant isolates). The BD PHOENIXconcordance with VITEK-2 systems
was lower than MALDI-TOF MS. Several of these discordant yeasts had high
antifungal agent MICs.
Conclusions: We discovered the unusual yeasts, including Candida auris, Trichosporon
faecalis and other yeasts. Although not totally satisfying, the performance of the BD
Phoenix system was superior to that of the Vitek 2 system, particularly its performance
with yeast species that are infrequently isolated in the clinical context. Although new
and promising molecular methods such as MALDI-TOF MS are now available, many
clinical microbiology laboratories continue to rely on instruments such as the BD
Phoenix and Vitek 2 for routine identification of fungal agents.

Laparoscopy has revolutionised surgery and management of the patient with marked decrease in morbidity and post-operative complications. Initially, these procedures were done using only General Anaesthesia. However, now with the introduction of Spinal anaesthesia and after learning its advantages, surgeons are slowly beginning to gravitate towards this mode of anaesthesia. Sixty three patients who were admitted in the hospital for appendicitis participated in this Randomized controlled trial conducted in a tertiary care hospital in India. Thirty three patients were randomly included in Group A (undergoing laparoscopic surgery under Spinal Anaesthesia) and thirty patients in Group B (undergoing laparoscopic surgery under General Anaesthesia). The mean values of Systolic and diastolic pressure was found to be significantly higher in patients who were administered General anaesthesia and no change in the respiratory functions was observed following administration of either Spinal or General anaesthesia. Laparoscopic surgery under Spinal anaesthesia is a viable and safe alternative as compared to General anaesthesia. The recovery rates and the satisfaction reported by patients is also better. Spinal anaesthesia also helps in maintaining better haemodynamic stabilization.

this article presents the justification of various pedagogical conditions for solving the problem of developing educational and intellectual skills aimed at the formation of independent learning skills of primary school students themselves.