Complete genome sequence of a Bangladesh-developed live-attenuated lumpy skin disease (LSD) vaccine strain.

Lumpy skin disease (LSD) in cattle is managed through live-attenuated vaccines. Bangladesh LSD vaccine was developed from LSD virus isolate Bangladesh LSD-29 by passaging 60 times in cell culture. Here, we report the complete genome sequence of Bangladesh LSD vaccine strain.

Complete genome sequence of a lumpy skin disease virus isolate from a 2021 outbreak of disease in Bangladesh.

Lumpy skin disease (LSD) is an economically devasting and vector-borne transboundary disease of cattle caused by lumpy skin disease virus (LSDV). Here, we report the complete genome sequence of an outbreak isolate of LSDV from Bangladesh. Bangladesh LSD-29 was detected in skin nodule samples of an LSD-infected bovine in 2021.

Screening depression among university students utilizing GHQ-12 and machine learning.

The escalating incidence of depression has brought attention to the increasing concern regarding the mental well-being of university students in the current academic environment. Given the increasing mental health challenges faced by students, there is a critical need for efficient, scalable, and accurate screening methods. This study aims to address the issue by using the General Health Questionnaire-12 (GHQ-12), a well recognized tool for evaluating psychological discomfort, in combination with machine learning (ML) techniques.

Elemental Characterization of Ambient Particulate Matter for a Globally Distributed Monitoring Network: Methodology and Implications.

Global ground-level measurements of elements in ambient particulate matter (PM) can provide valuable information to understand the distribution of dust and trace elements, assess health impacts, and investigate emission sources. We use X-ray fluorescence spectroscopy to characterize the elemental composition of PM samples collected from 27 globally distributed sites in the Surface PARTiculate mAtter Network (SPARTAN) over 2019-2023. Consistent protocols are applied to collect all samples and analyze them at one central laboratory, which facilitates comparison across different sites.

Multivariate statistics and hydrogeochemistry of deep groundwater at southwestern part of Bangladesh.

Multivariate statistics and GIS alone with geochemical modeling were applied to investigate the hydro-geochemical characteristics of groundwater and their spatial distribution in the deep aquifer system of Bagherpara Upazila, Bangladesh. This Upazila consists of an area of 308.3 km and local people mostly rely on groundwater to meet the drinking water requirements.

Prevalence, Genomic Characterization, and Risk Assessment of Human Pathogenic Vibrio Species in Seafood.

Abstract: Pathogenic Vibrio species are largely responsible for human diseases associated with consumption of contaminated seafood. The aim of this study was to determine the prevalence, population densities, species diversity, and molecular characteristics of pathogenic Vibrio in various seafood commodities and the health risks associated with consumption of these contaminated commodities. Samples of finfish and shellfish (oysters and sea urchins) were collected from various regions and analyzed for Vibrio with the most-probable-number (MPN) technique.

Machine learning aided classification of tremor in multiple sclerosis.

Background: Tremors are frequent and disabling in people with multiple sclerosis (MS). Characteristic tremor frequencies in MS have a broad distribution range (1-10 Hz), which confounds the diagnostic from other forms of tremors. In this study, we propose a classification method for distinguishing MS tremors from other forms of cerebellar tremors.

Discrimination between parkinsonian tremor and essential tremor using artificial neural network with hybrid features.

Background: Essential tremor (ET) and the tremor in Parkinson's disease (PD) are the two most common pathological tremors with a certain overlap in the clinical presentation.

Objective: The main purpose of this work is to use an artificial neural network to select the best features and to discriminate between the two types of tremors. The features used are of hybrid type obtained from two different algorithms: the statistical signal characterization (SSC) of the signal describing its morphology, and the soft-decision wavelet-decomposition (SDWD) features extracted from the accelerometer and surface EMG signals.

Investigation of heart rate variability of patients undergoing coronary artery bypass grafting using the statistical signal characterization method.

Background: Autonomic function can be estimated non-invasively using heart rate variability (HRV). HRV of patients undergoing coronary artery bypass grafting (CABG) is investigated in time-domain and frequency-domain before and after CABG to study the effect of operation on the status of patients.

Objective: The main purpose of this work is to evaluate the effect of CABG surgery on patients with ischemic heart disease (IHD) before operation, and to monitor the status of patients on day 6 and day 30 after the CABG operation.

Wavelet analysis for early identification of HRV changes in offspring with genetic predisposition to hypertension in Oman.

Background: Offspring with a genetic predisposition to hypertension may have higher blood pressure (BP) at rest compared with those without a genetic predisposition to hypertension. They are also expected to have a higher sympathetic component in the heart rate variability (HRV) which could be computed with signal processing algorithms.

Objective: The purpose of this study is to design a wavelet-based system to estimate the heart rate variability that can be used to detect early cardiovascular changes in offspring with a genetic predisposition to hypertension.

Discrimination of physiological tremor from pathological tremor using accelerometer and surface EMG signals.

Background And Objective: Although careful clinical examination and medical history are the most important steps towards a diagnostic separation between different tremors, the electro-physiological analysis of the tremor using accelerometry and electromyography (EMG) of the affected limbs are promising tools.

Methods: A soft-decision wavelet-based decomposition technique is applied with 8 decomposition stages to estimate the power spectral density of accelerometer and surface EMG signals (sEMG) sampled at 800 Hz. A discrimination factor between physiological tremor (PH) and pathological tremor, namely, essential tremor (ET) and the tremor caused by Parkinson's disease (PD), is obtained by summing the power entropy in band 6 (B6: 7.

A new simple efficient classification technique for severity of sleep apnea with mathematical model and interpretation.

Background: Obstructive Sleep Apnea (OSA) is the cessation of breathing during sleep due to the collapse of the upper airway. Polysomnographic recording is a conventional method for detection of OSA. Although it provides reliable results, it is expensive and cumbersome.

Cardio-autonomic functions and sleep indices before and after coronary artery bypass surgery.

Background: Earlier studies showed a short-term impairment of cardio-autonomic functions following coronary artery bypass grafting (CABG). There is a lack of consistency in the time of recovery from this impairment. Studies have attributed the post-CABG atrial fibrillation to preexisting obstructive sleep apnea (OSA) without an objective sleep assessment.

Identification of patients with preeclampsia from normal subjects using wavelet-based spectral analysis of heart rate variability.

Background: The spectral analysis of the heart rate variability (HRV) shows a decrease in the power of the high frequency (HF) component in preeclamptic pregnancy compared with normal pregnancy; such a decrease is associated with an increase in the low frequency (LF) and the very low frequency (VLF) power. The physiological interpretation is that preeclamptic pregnancy is associated with a facilitation of sympathetic regulation and an attenuation of parasympathetic influence of HR compared with non-pregnancy and normal pregnancy.

Objective: To use an efficient nased on spectral analysis non-invasive technique to identify preeclamptic pregnant subjects from normal pregnant in Oman.

Investigation of heart rate variability of patients undergoing coronary artery bypass grafting (CABG).

Background: Myocardial revascularization by coronary artery bypass grafting (CABG) is an effective measure for reducing symptoms and mortality in patients with unstable or severe coronary artery disease (CAD). Autonomic function can be estimated non-invasively using heart rate variability (HRV). HRV of patients undergoing CABG is investigated before and after CABG using a soft-decision wavelet based spectral analysis.

Discrimination of Parkinsonian tremor from essential tremor using statistical signal characterization of the spectrum of accelerometer signal.

A new technique for discrimination of Parkinson tremor from essential tremor is presented in this paper. This technique is based on Statistical Signal Characterization (SSC) of the spectrum of the accelerometer signal. The data has been recorded for diagnostic purposes in the Department of Neurology of the University of Kiel, Germany.

A neural network approach for feature extraction and discrimination between Parkinsonian tremor and essential tremor.

Background: Essential tremor (ET) and the tremor in Parkinson's disease (PD) are the two most common pathological tremor with a certain overlap in the clinical presentation.

Objective: The main purpose of this work is to use an artificial neural network to select the best features and to discriminate between the two types of tremors using spectral analysis of tremor time-series recorded by accelerometry and surface EMG signals.

Methods: The Soft-Decision wavelet-based technique is to be used in this work in order to obtain a 16 bands approximate spectral representation of both accelerometer and two EMG signals of two sets of data (training and test).

Classification of sleep apnea using wavelet-based spectral analysis of heart rate variability.

Background: Obstructive Sleep Apnea (OSA) is the cessation of breathing during sleep due to the collapse of upper airway. Polysomnographic recording is a conventional method for detection of OSA. Although it provides reliable results, it is expensive and cumbersome.

In search of healing between two worlds: the use of traditional and modern health services by older women in rural Bangladesh.

The objective of this study is to gain a deeper understanding of the use of traditional and modern medicine among older adult women living in rural Bangladesh. Factors are identified that guide the women's decisions about who to seek help from when they are ill. The findings provide evidence that, in spite of the availability of modern health care, traditional healers--faith-based and herbalists--are widely utilized.

Improving access to government health care in rural bangladesh: the voice of older adult women.

Our purpose in this study was to provide an in-depth understanding of the health-system-related barriers to utilization of health services by older women living in rural Bangladesh. Interviews were conducted with 17 women in Bibirchar Union, Sherpur district, Bangladesh, in June 2006. Three main barriers were identified: perceived discrimination based on age, class, and gender; structural aspects of the health care delivery system; and quality of care.

A new lectin from the tuberous rhizome of Kaempferia rotunda: isolation, characterization, antibacterial and antiproliferative activities.

A lectin (designated as KRL) was purified from the extracts of Kaempferia rotunda Linn. tuberous rhizome by glucose-sepharose affinity chromatography. KRL was determined to be a 29.

A new diagnostic test to distinguish tremulous Parkinson's disease from advanced essential tremor.

Background: Clinical distinction between advanced essential tremor and tremulous Parkinson's disease can be difficult.

Methods: In selected power spectra of accelerometric postural tremor recordings on the more affected side of 41 patients with essential tremor and 39 patients with tremulous Parkinson's disease being indistinguishable by tremor frequency, peak power or number of harmonic peaks, waveform asymmetry (autocorrelation decay), and mean peak power of all harmonic peaks were computed. Cutoff for essential tremor-Parkinson's disease distinction was determined by receiver operating characteristics.

A socially excluded space: restrictions on access to health care for older women in rural Bangladesh.

This study was an exploration of the experiences of 17 women, age 60 or more years, from Bangladesh. The women were asked about decision-making processes with respect to their access to health care and whether they perceived that there were differences based on age and sex in the way a household responds to an illness episode. The overall theme that characterized their experiences was "being in a socially excluded space.