Convergence of the discrete Redner-Ben-Avraham-Kahng coagulation equation

This article looks at the relationship between the discrete and the continuous Redner-Ben-Avraham-Kahng (RBK) coagulation models. On the basis of a priori estimation, a weak stability principle and the weak compactness in $L_1$ for the continuous RBK model is shown. By employing a sequence of discrete models to approximate the continuous one, we show that how discrete model eventually converges to the the modified continuous one using the stability principle

Website Accessibility Evaluation of National Institutes under the DEPWD Ministry of Social Justice & Empowerment

Accessibility is an important aspect in this IT era for updated information for every individual with a disability as well. They also have an equal right to access the contents available online. Thus, web developers should follow the universally accepted guidelines to develop the web pages reachable for everyone. Websites that are not complying with WCAG 2.0 guidelines are very difficult to access by the disabled users. This evaluation is an attempt to analyze the accessibility of the websites of the National Institutes under the DEPWD, Ministry of Social Justice & Empowerment under the different priority level of WCAG2.0. Evaluation of the websites has been done by automatic web accessibility evaluation tool WAVE and AChecker

Weak solutions to the discrete Redner-Ben-Avraham-Kahng coagulation model

This study examines the global existence of solutions to the discrete Redner-Ben-Avraham-Kahng coagulation equations for a wide range of coagulation kernels $\theta_{i,j}$ defined as $\theta_{i,j} =\omega_i \omega_j +\kappa_{i,j}$ and $\kappa_{i,j} \le A \omega_i \omega_j, \ \ i,j \ge 1$ when $(\omega_i)_{i\ge 1}$ grows linearly or super-linearly with respect to $i$

A comparative study of misoprostol versus surgical management of incomplete and missed miscarriage

Background: The aim of this study is to assess the effectiveness and acceptability of using vaginal Misoprostol for management of spontaneous incomplete and missed miscarriage as an alternative to direct vaginal surgical evacuation in our setting and also to compare the efficacy and patient satisfaction of the medical method with surgical method in same.Methods: this is a prospective comparative study performed on randomly divided 200 patients in two groups. Each group of patients are case of missed or incomplete abortion in first trimester.(5-12 weeks). Group one received Misoprostol tablet 600 mcg single dose per vaginally, and second group underwent surgical vaginal evacuation directly under local anesthesia (para-cervical block . both groups were compared in terms of success, complications, pain and patient satisfaction.Results: 97% success rates were obtained in the medical treatment group. Surgical group had 95% success rates. 3 patients underwent repeat surgical evacuation in the medical group. Bleeding was more and prolonged in the patients managed by Misoprostol, 27% patients had moderate bleeding. Though bleeding was less in the surgical group but there was excruciating pain and weakness as the procedure being done under local anesthesia, 98% patients experienced pain in surgical group. Satisfaction rates in the misoprostol group were 100%.Conclusions: Misoprostol is effective in complete evacuation of uterus in incomplete and missed miscarriage. Patients are highly satisfied with the misoprostol treatment as they didn’t have to get hospitalized. The bleeding was more or less like menstrual bleeding which did not affect the daily chores of the women. It is as effective as surgical evacuation and patient satisfaction is much more than the surgical evacuation.

Single Input Single Head CNN-GRU-LSTM Architecture for Recognition of Human Activities

Due to its applications for the betterment of human life, human activity recognition has attracted more researchers in the recent past. Anticipation of intension behind the motion and behaviour recognition are intensive applications for research inside human activity recognition. Gyroscope, accelerometer, and magnetometer sensors are heavily used to obtain the data in time series for every timestep. The selection of temporal features is required for the successful recognition of human motion primitives. Different data pre-processing and feature extraction techniques were used in most past approaches with the constraint of sufficient domain knowledge. These approaches are heavily dependent on the quality of handcrafted features and are also time-consuming and not generalized. In this paper, a single head deep neural network-based approach with the combination of a convolutional neural network, Gated recurrent unit, and Long Short Term memory is proposed. The raw data from wearable sensors are used with minimum pre-processing steps and without the involvement of any feature extraction method. 93.48 % and 98.51% accuracy are obtained on UCI-HAR and WISDM datasets. This single-head deep neural network-based model shows higher classification performance over other architectures under deep neural networks

Seven Species of Curvularia Isolated from Three Lakes of Bhopal

A water borne Conidial fungi Curvularia were isolated from Sarangpani lake, Shahpura lake and Lower lake of Bhopal. Seven species were isolated during investigation period. They are Curvularia clavata, C. intermedia, C. lunata, C. pallescens, C. prasadii, C. robusta and C. senegalensis

Drechslera Species Firstly Reported from Some Water Bodies of Bhopal, Madhya Pradesh

During the investigation period (2007-2008) study of fungal diversity has been taken first time in three lakes of Bhopal. Eleven species of Drechslera viz. D. australiensis, D. halodes, D. hawaiiensis, D. rostrata, D. sacchari, D. state of Cochliobolus bicolor, D. state of Cochliobolus miyabeanus, D. state of Cochliobolus sativus, D. state of Cochliobolus setariae, D. state of Cochliobolus spicifer and D. state of Trichometaspheria turcica belonging to order Moniliales and group Deuteromycotina were isolated from lentic environment of Shahpura lake, Sarangpani lake and Lower Lake of Bhopal, Madhya Pradesh

Two Level Disambiguation Model for Query Translation

Selection of the most suitable translation among all translation candidates returned by bilingual dictionary has always been quiet challenging task for any cross language query translation. Researchers have frequently tried to use word co-occurrence statistics to determine the most probable translation for user query. Algorithms using such statistics have certain shortcomings, which are focused in this paper. We propose a novel method for ambiguity resolution, named ‘two level disambiguation model’. At first level disambiguation, the model properly weighs the importance of translation alternatives of query terms obtained from the dictionary. The importance factor measures the probability of a translation candidate of being selected as the final translation of a query term. This removes the problem of taking binary decision for translation candidates. At second level disambiguation, the model targets the user query as a single concept and deduces the translation of all query terms simultaneously, taking into account the weights of translation alternatives also. This is contrary to previous researches which select translation for each word in source language query independently. The experimental result with English-Hindi cross language information retrieval shows that the proposed two level disambiguation model achieved 79.53% and 83.50% of monolingual translation and 21.11% and 17.36% improvement compared to greedy disambiguation strategies in terms of MAP for short and long queries respectively

Online Reading Behaviour of Ph.D. Students in The Department of Library and Information Science at Babasaheb Bhimrao Ambedkar University, Lucknow: A Survey

The purpose of this paper is to identify online reading behaviour of Ph.D. students of Department of Library and Information Science of Babasaheb Bhimrao Ambedkar University Lucknow. This study adopted survey methodology to find out how many students are aware and uses the online reading resources in the departments. It also looks at the motive and problems of students while accessing the online reading resources. This research makes a few ideas on how to increase online reading habit

Cervical ectopic pregnancy: a rare case report

Cervical ectopic pregnancy is rare condition which occurs in less than 1% of all ectopic pregnancies. Early diagnosis is a key to successful management; delayed diagnosis can lead to significant morbidity and fertility loss of the mother. We present a case of woman who presented with vaginal bleeding and lower abdominal pain for 3 days following amenorrhea of 3 ½ months. Ultrasound examination done outside was suggestive of left tubal ectopic pregnancy whereas scan done at our hospital indicated either uterine rupture within intraperitoneal sac or a cervical ectopic pregnancy. She was taken up for laparotomy and hysterectomy since she was bleeding profusely, and it was lifesaving