Histopathological pattern of endometrial biopsy in abnormal uterine bleeding

Background: Abnormal uterine bleeding is a common complaint in most women of different ages that prompts seeking gynaecologic care. This study aimed to determine the type of endometrial patterns of the different age categories of women who presented as a case of abnormal uterine bleeding. Methods: This was a retrospective study conducted on 72 patients who were presented with abnormal uterine bleeding and had endometrial biopsy done in our hospital. The data on their age, presenting complaints, and comorbidities of all the women were collected. The patterns of endometrial changes were studied and classified in accordance to the FIGO classification. Results: Seventy-two women with abnormal uterine bleeding demonstrated a fluctuating pattern of ten endometrial pathologies distributed among five age groups in the range of 31 to 65 years. Maximum number of cases of AUB were noted in the age group of (36-50) years (56 cases, 77.7%). Most common observed histopathological pattern in this study was normal cyclical patterns including proliferative endometrium (29.16%) and secretory endometrium (22.22%). Conclusions: Histopathological examination of the endometrium shows a clear-cut differentiation between physiological and malignancy changes in the endometrium. Hence, endometrial sampling is considered the golden tool for accurate analysis of the endometrium.

Yield Evaluation of Nutrient-rich Potato Clones in High Hill of Nepal

A study was conducted to evaluate the yield of nutrient-rich potato clones in high-hill districts: Dolakha and Jumla of Nepal during the years 2013 and 2014, respectively. Fourteen potato clones were tested as on-station and on-farm experiments at both districts, and those fourteen clones were compared to ‘Lady Rosita' and ‘Jumli Local' respectively as the check varieties in the first year experiment, 2013. Eight promising clones were selected from the first year experiment, and were evaluated and compared with same local varieties in the consecutive year, 2014. Two clones namely; CIP 395112.32 (19.3 tha-1) and CIP 393073.179 (17.8 tha-1) exhibited superior marketable tuber yield than that of ‘Lady Rosita'(14.2 tha-1) in Dolakha and five CIP clones namely; 395112.32 (25.5 tha-1), 393073.179 (22.5 tha-1), 394611.112 (20.9 tha-1), 390478.9 (19.9 tha-1) and 395017.229 (17.0 tha-1) showed higher marketable tuber yield than ‘Jumli Local'(14.5 tha-1). Based on two years' phenotypic and tuber yield result, clones CIP 395112.32 and CIP 393073.179 are recommended to potato growers at high hills of Nepal for commercial cultivation.Journal of Nepal Agricultural Research Council Vol.3 2017: 6-1

Mortality and pulmonary complications in patients undergoing surgery with perioperative SARS-CoV-2 infection: an international cohort study

Background: The impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on postoperative recovery needs to be understood to inform clinical decision making during and after the COVID-19 pandemic. This study reports 30-day mortality and pulmonary complication rates in patients with perioperative SARS-CoV-2 infection. Methods: This international, multicentre, cohort study at 235 hospitals in 24 countries included all patients undergoing surgery who had SARS-CoV-2 infection confirmed within 7 days before or 30 days after surgery. The primary outcome measure was 30-day postoperative mortality and was assessed in all enrolled patients. The main secondary outcome measure was pulmonary complications, defined as pneumonia, acute respiratory distress syndrome, or unexpected postoperative ventilation. Findings: This analysis includes 1128 patients who had surgery between Jan 1 and March 31, 2020, of whom 835 (74·0%) had emergency surgery and 280 (24·8%) had elective surgery. SARS-CoV-2 infection was confirmed preoperatively in 294 (26·1%) patients. 30-day mortality was 23·8% (268 of 1128). Pulmonary complications occurred in 577 (51·2%) of 1128 patients; 30-day mortality in these patients was 38·0% (219 of 577), accounting for 81·7% (219 of 268) of all deaths. In adjusted analyses, 30-day mortality was associated with male sex (odds ratio 1·75 [95% CI 1·28–2·40], p\textless0·0001), age 70 years or older versus younger than 70 years (2·30 [1·65–3·22], p\textless0·0001), American Society of Anesthesiologists grades 3–5 versus grades 1–2 (2·35 [1·57–3·53], p\textless0·0001), malignant versus benign or obstetric diagnosis (1·55 [1·01–2·39], p=0·046), emergency versus elective surgery (1·67 [1·06–2·63], p=0·026), and major versus minor surgery (1·52 [1·01–2·31], p=0·047). Interpretation: Postoperative pulmonary complications occur in half of patients with perioperative SARS-CoV-2 infection and are associated with high mortality. Thresholds for surgery during the COVID-19 pandemic should be higher than during normal practice, particularly in men aged 70 years and older. Consideration should be given for postponing non-urgent procedures and promoting non-operative treatment to delay or avoid the need for surgery. Funding: National Institute for Health Research (NIHR), Association of Coloproctology of Great Britain and Ireland, Bowel and Cancer Research, Bowel Disease Research Foundation, Association of Upper Gastrointestinal Surgeons, British Association of Surgical Oncology, British Gynaecological Cancer Society, European Society of Coloproctology, NIHR Academy, Sarcoma UK, Vascular Society for Great Britain and Ireland, and Yorkshire Cancer Research

IMPLEMENTATION OF FACE RECOGNITION SYSTEM BASED ON ELASTIC BUNCH GRAPH MATCHING

The face is regarded as the primary means of identifying the person of a written document based on the implicit assumption that a person’s face changes slowly and is very difficult to erase, alter or forge without detection. As face is now a days the primary mechanism both for authentication and authorization in legal transactions, the need for efficient automated solutions for face reorganization has increased. This Project offers algorithm for the offline image reorganization system in which artificial neural network is used to confirm the genuineness of faces. We approach the problem in two steps. Initially a set of face images are obtained from the subject and fed to the system. These face images are preprocessed Then the preprocessed images are used to extract relevant geometric parameters that can identify faces of different persons. These are used to train the system. The mean value of these features is obtained. In the next step the face image to be verified is fed to the system. It is preprocessed to be suitable for extracting features. It is fed to the system and various features are extracted from them. These values are then compared with the mean features that were used to train the system. The distance is calculated and a suitable threshold per user is chosen. Depending on whether the input face image satisfies the threshold condition the system either accepts or rejects the face image. Perform pattern matching with the test data set present in the hidden layer of neural network. Using outcome produced by the output layer of the neural network announces that image is match or not

Effect of Different Fertilizer Levels on Growth and Yield of Linseed (Linum usitatissimum L.) under Guava (Psidium guajava L.) Based Agroforestry System

The study was conducted during 2021-2022 during the Rabi season in Mirzapur district, Uttar Pradesh (Vindhyan region) at the agroforestry system of Rajiv Gandhi South Campus, Department of Agronomy, Banaras Hindu University.  This research aimed to analyze different levels of NPK on the growth parameters, yield attributes, and yield of linseed under guava based Agroforestry system. The experiment was laid out in a randomized block design with nine treatments. Results indicated that increasing NPK levels positively impacted linseed growth parameters and yield attributes. The highest NPK application (60-60-50 kg ha-1) resulted in the most favorable outcomes. Economic analysis revealed that higher NPK concentrations led to increased gross returns, net returns, and benefit-cost ratios. Based on the findings, it is recommended to apply 60 kg N ha-1, 30 kg P ha-1, and 25 kg K ha-1 for optimal growth and yield of linseed under the guava-based Agroforestry system, leading to maximum net returns

Yield Evaluation of Nutrient-rich Potato Clones in High Hill of Nepal

A study was conducted to evaluate the yield of nutrient-rich potato clones in high-hill districts: Dolakha and Jumla of Nepal during the years 2013 and 2014, respectively. Fourteen potato clones were tested as on-station and on-farm experiments at both districts, and those fourteen clones were compared to ‘Lady Rosita’ and ‘Jumli Local’ respectively as the check varieties in the first year experiment, 2013. Eight promising clones were selected from the first year experiment, and were evaluated and compared with same local varieties in the consecutive year, 2014. Two clones namely; CIP 395112.32 (19.3 tha-1) and CIP 393073.179 (17.8 tha-1) exhibited superior marketable tuber yield than that of ‘Lady Rosita’(14.2 tha-1) in Dolakha and five CIP clones namely; 395112.32 (25.5 tha-1), 393073.179 (22.5 tha-1), 394611.112 (20.9 tha-1), 390478.9 (19.9 tha-1) and 395017.229 (17.0 tha-1) showed higher marketable tuber yield than ‘Jumli Local’(14.5 tha-1). Based on two years’ phenotypic and tuber yield result, clones CIP 395112.32 and CIP 393073.179 are recommended to potato growers at high hills of Nepal for commercial cultivation