A Modified Neural Network system based on Morphological operations for detection of images with variation in Gray level intensity and facial expressions

We introduce an algorithm based on the morphological shared-weight neural network. Which extract the features and then classify them. This type of network can work effectively, even if the gray level intensity and facial expression of the images are varied. The images are processed by a morphological shared weight neural network to detect and extract the features of face images. For the detection of the edges of the image we are using sobel operator. We are using back propagation algorithm for the purpose of learning and training of the neural network system. Being nonlinear and translation-invariant, the morphological operations can be used to create better generalization during face recognition. Feature extraction is performed on grayscale images using hit-miss transforms that are independent of gray-level shifts. The recognition efficiency of this modified network is about 98%

Hysteroscopy in one hundred cases of postmenopausal uterine bleeding, in the detection of uterine cancer and atypical endometrial hyperplasia

Background: Evaluation was done in 100 women presenting with postmenopausal bleeding, (PMB), to discuss the utility of hysteroscopy combined guided endometrial curettage in the diagnosis of uterine cancer and endometrial hyperplasia, and, treat benign lesions, like polyps, synechiae at the same sitting. At MGMH during the years, 2002 to 2006, there were 57 women, and at care, 40 women with PMB during 2011 to 2013, and three in a nursing home, Hyderabad, were investigated.Methods: Evaluation was done in 100 women presenting with PMB by hysteroscopy and curettage to diagnose the cause of PMB and benign lesions like polyps, synechiae were managed by operative hysteroscopy. Bettocchi 5 mm hysteroscope, monopolar instruments and glycine was used for excision of polyps.Results: In one hundred women with PMB, 19% had cancer. Endometrial adenocarcinoma in 14, endocervical carcinoma in 2, uterine carcinosarcoma in 3 cases. All 3 cases of uterine carcinosarcoma on hysteroscopy were large polyps measuring 5×5-6 cm size. Atypical hyperplasia endometrium in 7% and simple hyperplasia in 17%, was reported on histopathology, in cases with hyperplastic endometrium on hysteroscopy. Benign polyps in 41% were managed at the same sitting by operative hysteroscopy.Conclusions: Women with postmenopausal bleeding must have USG, trans vaginal sonography (TVS), endometrial thickness (ET) measurement, preferably endometrial echo complex (EEC). In women with PMB, the risk of uterine cancer would be 19%, i.e., 1 out of 5 women. Atypical hyperplasia in 7%. Hysteroscopy guided curettage, with histopathology, is the gold standard protocol in cases of PMB

Pregnancy outcome in isolated oligohydramnios diagnosed in third trimester

Background: The aim of this study was to compare the outcomes of pregnancies complicated by isolated oligohydramnios with the low risk pregnancies with normal amniotic fluid volume.Methods: The present study is a retrospective cohort study of singleton pregnancies diagnosed with Isolated oligohydramnios (AFI≤5) in their third trimester (N=35). Pregnancy outcome was compared with a matched control group of low risk pregnancies with amniotic fluid volume >5 (N=30).Results: The overall incidence of Isolated oligohydramnios was 0.7-0.8%. In oligohydramnios group, significant association were found in null-parity (60% vs 23.33%, p-value<0.005), Fetal growth retardation (25.71% vs 0% p-value<0.02), preterm delivery (22.85% vs 3.33%, p-value 0.025), rate of Induction of labor (40% vs 10%) and cesarean rate for non-reassuring fetal heart rate (20% vs 3.33%, p-value<0.001). Likewise, the incidence of low birth weight was (54.28% vs 13.33%, p-value<0.001) and NICU admissions was (20% vs 0%, p-value<0.01), but there was no difference in Apgar score finding. NICU stay was of short duration and all babies discharged in stable condition, there were no stillbirth or early neonatal death in both groups.Conclusions: Isolated oligohydramnios has an adverse influence on pregnancy and neonatal outcome in the form of FGR, preterm delivery, increased rate of Induction and cesarean section. Despite the high incidence of low birth weight and NICU admissions, the overall early neonatal outcome was similar to the other low risk pregnancies

An intuitionistic fuzzy entropy-based gained and lost dominance score decision-making method to select and assess sustainable supplier selection

Sustainable supplier selection (SSS) is recognized as a prime aim in supply chain because of its impression on profitability, adorability, and agility of the organization. This work introduces a multi-phase intuitionistic fuzzy preference-based model with which decision experts are authorized to choose the suitable supplier using the sustainability "triple bottom line (TBL)" attributes. To solve this issue, an intuitionistic fuzzy gained and lost dominance score (IF-GLDS) approach is proposed using the developed IF-entropy. To make better use of experts' knowledge and fully represent the uncertain information, the evaluations of SSS are characterized in the form of intuitionistic fuzzy set (IFS). To better distinguish fuzziness of IFSs, new entropy for assessing criteria weights is proposed with the help of an improved score function. By considering the developed entropy and improved score function, a weight-determining process for considered criterion is presented. A case study concerning the iron and steel industry in India for assessing and ranking the SSS is taken to demonstrate the practicability of the developed model. The efficacy of the developed model is certified with the comparison by diverse extant models

A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse

Blockchain technology and metaverse advancements allow people to create virtual personalities and spend time online. Integrating public transportation into the metaverse could improve services and collect user data. This study introduces a hybrid decision-making framework for prioritizing sustainable public transportation in Metaverse under q-rung orthopair fuzzy set (q-ROFS) context. In this regard, firstly q-rung orthopair fuzzy (q-ROF) generalized Dombi weighted aggregation operators (AOs) and their characteristics are developed to aggregate the q-ROF information. Second, a q-ROF information-based method using the removal effects of criteria (MEREC) and stepwise weight assessment ratio analysis (SWARA) models are proposed to find the objective and subjective weights of criteria, respectively. Then, a combined weighting model is taken to determine the final weights of the criteria. Third, the weighted sum product (WISP) method is extended to q-ROFS context by considering the double normalization procedures, the proposed operators and integrated weighting model. This method has taken the advantages of two normalization processes and four utility measures that approve the effect of benefit and cost criteria by using weighted sum and weighted product models. Next, to demonstrate the practicality and effectiveness of the presented method, a case study of sustainable public transportation in metaverse is presented in the context of q-ROFSs. The findings of this study confirms that the proposed model can recommend more feasible performance while facing numerous influencing factors and input uncertainties, and thus, provides a wider range of application