Trade-off and Design optimization of the Notch filter for ultralow power ECG application

ECG acquisition, several leads combined with signals from different body parts (i.e., from the right wrist and the left ankle) are utilized to trace the electric activity of the heart. ECG acquisition board translates the body signal to six leads and processes the signal using a low-pass filter (LPF) and SAR ADC. The acquisition board is composed of: an instrumentation amplifier, a high-pass filter, a 60-Hz notch filter, and a common-level adjuster. But miniaturization or need of portable devices for measuring Bio-Potential parameters has led to design of IC’s for biomedical application with ultra-low power Because of miniaturization i.e. use of lower technology nodes has led to non-idealities which reduces the attenuation of Common Mode to differential component i.e. not CMRR. Because of this demerit the power line interference signal can’t be assumed as a common mode signal. Hence we need to design a power line interference filter to avoid the contamination of the signal

Does Anti Saccharomyces Cervisiae Antibody (ASCA) distinguish Crohn's Disease from Intestinal Tuberculosis - A Pilot Study.

INTRODUCTION : Crohn’s disease (CD) is now diagnosed with increasing frequency at many centres in India. Intestinal tuberculosis (ITB) frequently encountered in our country is difficult to distinguish from CD as both diseases have similar radiological, endoscopic and histologic features. Differentiation of CD from ITB is important both for planning treatment and assessing prognosis. Studies from the west have shown that there is a high prevalence of ASCA in Crohn’s disease. They have used this to differentiate Crohn’s disease from ulcerative colitis in patients with indeterminate inflammatory bowel disease. If the prevalence of ASCA is low in intestinal tuberculosis, it is possible that ASCA can be used as serological marker to help differentiate Crohn’s disease from intestinal tuberculosis. Anti Saccharomyces cerevisiae Antibodies (ASCA) are directed against cell wall oligo mannosidic epitopes of S.cerevisiae. The test is commercially available and is an ELISA based test which can be done in most laboratories. Therefore the aim of the present study was to assess prevalence of ASCA in CD and ITB and evaluate the role of this serological marker in differentiating these 2 diseases. AIMS : To prospectively study the prevalence of ASCA among patients with Crohn’s disease and intestinal tuberculosis and assess the ability of ASCA to differentiate Crohn’s disease from Intestinal tuberculosis and To assess the ability of clinical presentation, radiology, endoscopy and histopathology to differentiate Crohn’s disease from intestinal tuberculosis CONCLUSIONS : Differentiating CD from ITB continues to be a challenging problem. Our study confirms the results of 2 other studies from India that ASCA does not help to differentiate CD from ITB 85, 86. Presently, a combination of clinical features, endoscopy, histology, radiology and response to treatment continues to be the mantra to differentiate these two conditions. We need to continue to strive to develop new tests to help clinicians differentiate the two conditions

SUSPENSION POLICY FOR CLOUD-BASED VIRTUAL MACHINES

Techniques are described herein for obtaining usage metrics of Virtual Machines (VMs) over a number of days. This data may be used to automatically identify periodic (e.g., daily) blocks of time when groups of VMs can be suspended. Unlike typical scenarios in which VMs in a cloud-based environment stay up irrespective of whether the VM is being used, these techniques avoid unnecessary cost to the client

Channel estimation relying on the minimum bit-error-ratio criterion for BPSK and QPSK signals

The authors consider the channel estimation problem in the context of a linear equaliser designed for a frequency selective channel, which relies on the minimum bit-error-ratio (MBER) optimisation framework. Previous literature has shown that the MBER-based signal detection may outperform its minimum-mean-square-error (MMSE) counterpart in the bit-error-ratio performance sense. In this study, they develop a framework for channel estimation by first discretising the parameter space and then posing it as a detection problem. Explicitly, the MBER cost function (CF) is derived and its performance studied, when transmitting BPSK and QPSK signals. It is demonstrated that the MBER based CF aided scheme is capable of outperforming existing MMSE, least square-based solutions

Scrutinising uncitedness and few h-type indicators of selected Indian physics and astronomy journals

13-27The uncitedness of twelve Indian physics and astronomy journals over twelve years (2009-2020) time span is analysed here. Besides Uncitedness Factor (UF), three other indicators are discussed, viz., Time-normalized Citation per paper (CY), H-core Density (HD) and Time-normalised H-index (TH). The journal-wise variational patterns of these four indicators, i.e., UF, CY, HD and TH and the relationships of UF with the other three indicators are analysed. The calculated numerical values of these indicators are observed to formulate seven hypotheses, which are tested by the F-Test method. The average annual rate of change of uncited paper is found to be 67% of the total number of papers. The indicator CY is found temporally constant. The indicator HD is found to be nearly constant journal-wise over the entire time span, while the indicator TH is found to be nearly constant for all the journals. The UF inversely varies with CY and TH for the journals and directly varies with TH over the years. Except for a few Indian journals in physics and astronomy, the majority of the other journals face the situation of uncitedness. The uncitedness of Indian journals in this field is higher by 12% as compared to foreign journals in the same field, which indicates a possible poor circulation of the journals

An Empirical Study on Investigating the Impact of a Balanced Diet on Biochemical and Physical Parameters in Disease Prevention and Management

This research paper presents the outcomes of an extensive empirical investigation aimed at exploring the influence of a well-rounded diet on biochemical and physical parameters for the purpose of preventing and managing diseases. Given the global rise in chronic illnesses, comprehending the impact of lifestyle elements, particularly dietary habits, is essential for effective health interventions. The study utilized a longitudinal design, monitoring participants over an extended period, and included a diverse sample encompassing individuals both with and without pre-existing health conditions. Biochemical parameters, such as blood glucose, cholesterol levels, and inflammatory markers, were evaluated alongside physical parameters like body mass index (BMI), blood pressure, and physical fitness. The results indicated notable enhancements in both biochemical and physical parameters among participants who adhered to a balanced diet. Positive associations between dietary practices and health indicators suggest the potential efficacy of dietary interventions in averting and addressing chronic diseases. The paper discusses the implications of these findings for public health strategies and future research, underscoring the significance of advocating for balanced dietary habits as an integral facet of comprehensive health approaches

The ultrasonic changes in maturing placenta in pregnancy complicated with hypertension and its correlation with neonatal outcome

Background: Hypertension is the most common medical problem encountered during pregnancy, complicating 2-3% of pregnancies. Obstetric ultrasound provides a cornerstone to other modalities used for assessing hypertensive disorders of pregnancy. This study was designed to detect the placental changes in hypertensive disorders of pregnancy and correlation with neonatal outcome.Methods: The study group comprised of 42 patients with pregnancy complicated with hypertension with period of gestation above 20 weeks and B.P. more than 140/90 mm of Hg measured on two occasions 6 hours or more apart. The control group consists of 42 normotensive patients matched with age and parity. One ultrasonic examination were performed between 28 weeks and 34 weeks and another after 34 weeks till term. Apart from routine parameters i.e. BPD, AC, FL, Amniotic fluid index, EBW and gestational age routine placental grading were performed according to the classification proposed by Grannum and associates. To evaluate perinatal outcome following measurement were studied – birth weight immediately after delivery, mode of delivery, perinatal morbidity and mortality , APGAR  score , presence of fetal distress.Results: In 97.62%  cases (41 out of 42 ) of control group showed Grade–II changes as opposed to 57.14% of cases (24 out of 42) in study group before 34 weeks.Conclusions: Accelerated maturation of placenta in pregnancy complicated with hypertension are more common in the hypertensive group

Attentive Fusion: A Transformer-based Approach to Multimodal Hate Speech Detection

With the recent surge and exponential growth of social media usage, scrutinizing social media content for the presence of any hateful content is of utmost importance. Researchers have been diligently working since the past decade on distinguishing between content that promotes hatred and content that does not. Traditionally, the main focus has been on analyzing textual content. However, recent research attempts have also commenced into the identification of audio-based content. Nevertheless, studies have shown that relying solely on audio or text-based content may be ineffective, as recent upsurge indicates that individuals often employ sarcasm in their speech and writing. To overcome these challenges, we present an approach to identify whether a speech promotes hate or not utilizing both audio and textual representations. Our methodology is based on the Transformer framework that incorporates both audio and text sampling, accompanied by our very own layer called "Attentive Fusion". The results of our study surpassed previous state-of-the-art techniques, achieving an impressive macro F1 score of 0.927 on the Test Set.Comment: Accepted in 20th International Conference on Natural Language Processing (ICON