Effect of solvent on the development of Poly(2-ethyl-2-oxazoline) nanofibrous scaffolds using electrospinning technique for biomedical applications.

The selection of a biomaterial plays a very important role for the development of scaffolds for biomedical applications. Amidst, the development of nanofibrous scaffolds through electrospinning technique by selecting a suitable polymer is of more importance. Poly (2-ethyl-2-oxazoline) (PEOX) is one among the selected polymers that can be employed for electrospinning for the development of scaffolds for biomedical applications.

Imagine going left versus imagine going right: whole-body motion on the lateral axis.

Unlike the conventional, embodied, and embrained whole-body movements in the sagittal forward and vertical axes, movements in the lateral/transversal axis cannot be unequivocally grounded, embodied, or embrained. When considering motor imagery for left and right directions, it is  assumed that participants have underdeveloped representations due to a lack of familiarity with moving along the lateral axis. In the current study, a 32 electroencephalography (EEG) system was used to identify the oscillatory neural signature linked with lateral axis motor imagery.

Lessons from integrating mental health as part of lymphatic filariasis morbidity management and disability prevention services in Jigawa State, Nigeria.

Lymphatic filariasis (LF) is a neglected tropical disease affecting >120 million people worldwide. LF has debilitating effects on humans and leads to morbidity and sometimes irreversible disability. A significant proportion of persons affected by LF morbidity also suffer from ill health, such as depression, anxiety, pain, stigma and social isolation due to disfigurement, as well as loss of mobility, livelihood and income.

MEASURE: Multiplex Exhaled Breath Condensate - Scanning Using Rapid Electro-Analytics.

Exhaled breath condensate is an emerging source of inflammatory biomarkers suitable for the noninvasive detection of respiratory disorders. Current gold standard methods are highly invasive and pose challenges in sample collection during airway inflammation monitoring. Cytokine biomarkers are detectable in EBC at increased or decreased concentrations.

Ultra-high field cardiac MRI in large animals and humans for translational cardiovascular research.

A key step in translational cardiovascular research is the use of large animal models to better understand normal and abnormal physiology, to test drugs or interventions, or to perform studies which would be considered unethical in human subjects. Ultrahigh field magnetic resonance imaging (UHF-MRI) at 7 T field strength is becoming increasingly available for imaging of the heart and, when compared to clinically established field strengths, promises better image quality and image information content, more precise functional analysis, potentially new image contrasts, and as all imaging techniques, a reduction of the number of animals per study because of the possibility to scan every animal repeatedly. We present here a solution to the dual use problem of whole-body UHF-MRI systems, which are typically installed in clinical environments, to both UHF-MRI in large animals and humans.

Deep supervised dictionary learning by algorithm unrolling-Application to fast 2D dynamic MR image reconstruction.

Background: Unrolled neural networks (NNs) have been extensively applied to different image reconstruction problems across all imaging modalities. A key component of the latter is that they allow for physics-informed learning of the regularization method, which is parametrized by the NN. However, due to the lack of understanding of deep NNs from a theoretical point of view, unrolled NNs are still black-boxes when the regularizers are given by deep NNs, for example, U-Nets.

Electrochemical Aptasensing for Lifestyle and Chronic Disease Management.

Over the past decade, researchers have investigated electrochemical sensing for the purpose of fabricating wearable point-of-use platforms. These wearable platforms have the ability to non-invasively track biomarkers that are clinically relevant and provide a comprehensive evaluation of the user's health. Due to many significant operational advantages, aptamer-based sensing is gaining traction.

Barriers and enablers to the provision of postnatal newborn care at community health centres in Sikka district, East Nusa Tenggara province, Indonesia.

Objective: This study examined routine newborn care practices provided in the postnatal ward of primary health care facilities, known as Puskesmas, in Sikka District of eastern Indonesia The newborn mortality rate in this region is higher than the national rate despite an increasing proportion of facility based births, suggesting suboptimal quality of newborn care.

Design: We employed a mixed methods study combining qualitative and quantitative approaches, in four purposively sampled Puskesmas. Nine mothers, twelve midwives, and four key informants were interviewed on the provision and experience of postnatal care, and an audit of postnatal care processes, including observation of routine postnatal check-up was conducted.

EBC-SURE (exhaled breath condensate- scanning using rapid electro analytics): A non-faradaic and non-invasive electrochemical assay to screen for pro-inflammatory biomarkers in human breath condensate.

The innovation of this work lies in the trace detection of inflammatory biomarkers (IL-6, hs-CRP) in human exhaled breath condensate on the developed EBC-SURE platform as a point-of-care aid for respiratory disorder diagnosis. The unique design of the EBC-SURE leverages non-faradaic electrochemical impedance spectroscopy to capture target-specific biomolecular interactions for highly sensitive biomarker detection. For sensor calibration, EBC-SURE's performance is assessed to measure the response of the sensor to a known concentration by spike and recovery analysis with a recovery error of <20% and an extended dynamic range over 3-log orders.

A machine learning-based on-demand sweat glucose reporting platform.

Diabetes is a chronic endocrine disease that occurs due to an imbalance in glucose levels and altering carbohydrate metabolism. It is a leading cause of morbidity, resulting in a reduced quality of life even in developed societies, primarily affected by a sedentary lifestyle and often leading to mortality. Keeping track of blood glucose levels noninvasively has been made possible due to diverse breakthroughs in wearable sensor technology coupled with holistic digital healthcare.

Tracking metabolic responses based on macronutrient consumption: A comprehensive study to continuously monitor and quantify dual markers (cortisol and glucose) in human sweat using WATCH sensor.

earable wareness hrough ontinuous idrosis (WATCH) sensor is a sweat based monitoring platform that tracks cortisol and glucose for the purpose of understanding metabolic responses related to macronutrient consumption. In this research article, we have demonstrated the ability of tracking these two biomarkers in passive human sweat over a workday period (8 h) for 10 human subjects in conjunction with their macronutrient consumption. The validation of the WATCH sensor performance was carried out via standard reference methods such as Luminex and ELISA This is a first demonstration of a passive sweat sensing technology that can detect interrelated dual metabolites, cortisol, and glucose, on a single sensing platform.

Temporal profiling of cytokines in passively expressed sweat for detection of infection using wearable device.

This work presents the viability of passive eccrine sweat as a functional biofluid toward tracking the human body's inflammatory response. Cytokines are biomarkers that orchestrate the manifestation and progression of an infection/inflammatory event. Hence, noninvasive, real-time monitoring of cytokines can be pivotal in assessing the progression of infection/inflammatory event, which may be feasible through monitoring of host immune markers in eccrine sweat.

Brucellosis in dairy herds: Farm characteristics and practices in relation to likely adoption of three potential private-public partnership (PPP) vaccination control strategies in West and Central Africa.

Brucellosis is regarded as one of the highest burden zoonotic diseases to persist in many regions globally. While sustained vaccination against B. abortus in an endemic setting can markedly reduce the prevalence of large ruminant and human brucellosis and benefit local livelihoods, the implementation of effective and sustainable control programmes has often failed in the worst affected areas.

Measurement model data of academic resilience for students in senior high school of middle seminary.

This article aims to describe the academic resilience of secondary seminary students. Data were obtained from Garum Middle Seminary High School students, Blitar (East Java), Indonesia, in the 2019 academic year. Evidence for validity and reliability of the measurement was provided through confirmatory factor analysis.

Adaptive sparsity level and dictionary size estimation for image reconstruction in accelerated 2D radial cine MRI.

Purpose: In the past, dictionary learning (DL) and sparse coding (SC) have been proposed for the regularization of image reconstruction problems. The regularization is given by a sparse approximation of all image patches using a learned dictionary, that is, an overcomplete set of basis functions learned from data. Despite its competitiveness, DL and SC require the tuning of two essential hyperparameters: the sparsity level S - the number of basis functions of the dictionary, called atoms, which are used to approximate each patch, and K - the overall number of such atoms in the dictionary.

A Sweat-based Wearable Enabling Technology for Real-time Monitoring of IL-1β and CRP as Potential Markers for Inflammatory Bowel Disease.

Background: More than 1.2 million people in the United States are affected by inflammatory bowel disease (IBD). Inflammatory bowel disease has a natural course characterized by alternating periods of remission and relapse.

CortiWatch: watch-based cortisol tracker.

Sweat-based analytics have recently caught the attention of researchers and medical professionals alike because they do not require professionally trained personnel or invasive collection techniques to obtain a sample. The following presents a small form-factor biosensor for reporting physiological ranges of cortisol present in ambient sweat (8-151 ng/ml). This device obtains cortisol measurements through low volumes of unstimulated sweat from the user's wrist.

Brucellosis in dairy herds: A public health concern in the milk supply chains of West and Central Africa.

Ten herd-level cross-sectional studies were conducted in peri-urban dairy production areas of seven West and Central African countries (Burkina Faso, Burundi, Cameroon, Mali, Niger, Senegal and Togo). The objectives were to estimate herd level Brucella spp. seroprevalence and identify risk factors for seropositivity.

Sonographic detection of blunt hepatic trauma: hemoperitoneum and parenchymal patterns of injury.

Objectives: To determine the sensitivity and utility of emergency sonography for the detection of blunt hepatic injury (BHI) in patients with abdominal trauma and to describe parenchymal sonographic patterns of BHI.

Methods: This report was a prospective clinical study in which the findings of all patients who had emergency sonograms were recorded on a data sheet by the initial sonographer and interpreting physicians. All patients with hepatic injuries during this period were identified and physical examination, laboratory, computed tomographic and intraoperative findings were compared with the prospective data sheets.