Use of isavuconazole in mucormycosis: a systematic review.

Background: Mucormycosis is an opportunistic fungal infection which is associated with poor prognosis. Only a few antifungals are available in the arsenal against mucormycosis. The global guidelines for diagnosing and managing mucormycosis recommend high doses of liposomal amphotericin B (LAmB) as the first-line treatment.

The Sri Lankan enigma: demystifying public healthcare information systems acceptance.

The deployment of Health Information Systems (HIS) in Sri Lanka has been low in adoption compared to developed countries. There has been a dearth of studies to identify the factors that improve the adoption of HIS in developing countries. Thus, this study investigates the factors influencing the acceptance of HIS among public healthcare staff.

Rhino-orbital-cerebral mucormycosis in acute myeloid leukemia patients: a case series from Sri Lanka.

Background: Mucormycosis, is a rare yet potentially life-threatening fungal infection common in immunocompromised patients. Despite optimal care, mucormycosis in haemato-oncological patients often results in poor outcomes. This case series details the presentations and unique challenges faced during the management of patients with acute myeloid leukemia who developed rhino-cerebral mucormycosis.

Unravelling a mystery of hypokalemic hypertension- a rare case report of a reninoma.

Background: Reninoma is a rare cause of secondary hypertension, which can be cured with surgery if identified early before any target organ damage occurs. It leads to hypokalaemia and hypertension and typically responds well to treatment with renin-angiotensin-aldosterone system blockers. However, confirmation of the diagnosis and the localisation of this rare culprit lesion can be challenging.

Dynamic CT features of scapholunate instability during the wrist extension to flexion-An in vivo study.

Purpose: This biomechanical study aimed to assess the change in the radioscaphoid and the radiolunate angles during wrist extension to flexion in scapholunate instability compared to the healthy wrist.

Methods: Dynamic CT scans of 19 participants with no history of wrist pathology and 19 patients with scapholunate instability without degenerative changes were selected. Motion sequence studied was wrist extension to flexion.

Machine Learning based Heart Murmur Detection and Classification.

Cardiovascular diseases rank among the leading causes of mortality worldwide and the early identification of diseases is of paramount importance. This work focuses on developing a novel machine learning-based framework for early detection and classification of heart murmurs by analysing phonocardiogram signals. Our heart murmur detection and classification pipeline encompasses three classification settings.

Lived Experiences of Primary Caregivers of Children with Dyslexia: A Phenomenological Study.

Background: Caregivers play an important role in children's development. Therefore, they need to recognize the learning difficulties that their children face and support them to ensure learning gains and prevent secondary complications. Nevertheless, supporting a child with a learning disability can be challenging for caregivers in many ways.

Spinal chondrosarcoma in a young girl: radiological diagnosis and treatment perspectives.

Spinal chondrosarcomas are uncommon malignant bone tumors that are rare in children. The location and imaging features of the lesion help in formulating a differential diagnosis, though in certain instances the lack of typical imaging findings may elude the differential of a chondrosarcoma. There are only a few reported cases in literature and owing to its rarity and lack of specific management protocols in this age group, making treatment decisions can be complex.

Impulse control disorders and other non-motor symptoms in Sri Lankan patients with Parkinson's disease.

The impact of non-motor symptoms is often overlooked in favour of the motor symptoms when managing Parkinson's disease resulting in suboptimal patient outcomes. This study aimed to characterise the non-motor symptoms of Parkinson's disease in a cohort of Sri Lankan patients with a special focus on the impulsive control disorders and other compulsive behaviours (ICDs-CB) that had not been previously studied in this population. All patients with idiopathic Parkinson's disease followed up at the National Hospital of Colombo, Sri Lanka were included.

Rapid and Resilient LoRa Leap: A Novel Multi-Hop Architecture for Decentralised Earthquake Early Warning Systems.

We introduce a novel LoRa-based multi-hop communication architecture as an alternative to the public internet for earthquake early warning (EEW). We examine its effectiveness in generating a meaningful warning window for the New Zealand-based decentralised EEW sensor network implemented by the CRISiSLab operating with the adapted Propagation of Local Undamped Motion (PLUM)-based earthquake detection and node-level data processing. LoRa, popular for low-power, long-range applications, has the disadvantage of long transmission time for time-critical tasks like EEW.

Advancements in Textile-Based sEMG Sensors for Muscle Fatigue Detection: A Journey from Material Evolution to Technological Integration.

Textile-based surface electromyography (sEMG) electrodes have emerged as a prominent tool in muscle fatigue assessment, marking a significant shift toward innovative, noninvasive methods. This review examines the transition from metallic fibers to novel conductive polymers, elastomers, and advanced material-based electrodes, reflecting on the rapid evolution of materials in sEMG sensor technology. It highlights the pivotal role of materials science in enhancing sensor adaptability, signal accuracy, and longevity, crucial for practical applications in health monitoring, while examining the balance of clinical precision with user comfort.

Factors influencing the maternal choice of packaged snacks for 6-10 years old children: A cross-sectional study from Sri Lanka.

Childhood overweight and obesity due to unhealthy diet result in several adverse effects. Mothers play a major role in selecting snacks for younger children. This study assessed the factors associated with the choice of packaged food/beverage snacks among mothers of 6- to 10-year-old children in the Medical Officer of Health area Balangoda.

Content analysis of policy documents related to non-communicable diseases prevention and control in Sri Lanka: a developing country in the South-East Asia.

Background: Health policies form the foundation for provisioning best level care and are important for all stakeholders including patients and healthcare providers. Health policy analysis and evaluation allows policy makers to improve an existing policy, terminate a non-effective policy and to successfully implement future policies.The objective was to assess the coherence between the two local policy documents on NCD prevention and control in Sri Lanka, the national NCD policy (NCD policy) and the multisectoral action plan (MSAP), and to assess the consistency of MSAP with the global action plan for NCDs.

Effect of iron oxide nanoparticles on mixotrophic cultivation of Chlorella spp. for biofuel production.

The current study investigated the effect of iron oxide nanoparticles (IONPs) on mixotrophic microalgae cultivation in wastewater for biofuel production. Optimal IONPs doses of 10 and 20 mg L increased Chlorella pyrenoidosa growth by 16% and lipid accumulation by 53 %, respectively, compared with the control group. Conversely, the protein content declined drastically, while carbohydrates remained relatively unchanged.

Exploring the feasibility of utilizing universal primers in detecting mucormycosis pathogens: An in-silico analysis.

This study aimed to design and evaluate a universal primer for Polymerase Chain Reaction (PCR)- based detection of mucormycosis-causing fungi by targeting their Internal Transcribed Spacer (ITS) sequences. In-silico analysis was conducted to assess primer suitability. Using Clustal Omega and Primer-BLAST, ITS sequences of 32 fungi species causing mucormycosis were aligned and subjected to primer design.

Optimizing material circularity pathways in industrial waste streams: A decision-making model.

The increasing pressures of environmental regulation and the introduction of new policy frameworks by various nations have accelerated the popularization of industrial solid waste management and recovery, underscoring the transition towards a circular economy. This paradigm shift emphasizes the importance of material recovery, reuse, and recycling of industrial waste to minimize environmental impact and enhance sustainability. Despite the availability of individual approaches for waste recovery, there exists a significant gap in the systematic selection of optimal recovery pathways that facilitate the reintegration of materials into the production cycle.

Real-Time Tracking Data and Machine Learning Approaches for Mapping Pedestrian Walking Behavior: A Case Study at the University of Moratuwa.

The growing urban population and traffic congestion underline the importance of building pedestrian-friendly environments to encourage walking as a preferred mode of transportation. However, a major challenge remains, which is the absence of such pedestrian-friendly walking environments. Identifying locations and routes with high pedestrian concentration is critical for improving pedestrian-friendly walking environments.

ESC-NAS: Environment Sound Classification Using Hardware-Aware Neural Architecture Search for the Edge.

The combination of deep-learning and IoT plays a significant role in modern smart solutions, providing the capability of handling task-specific real-time offline operations with improved accuracy and minimised resource consumption. This study provides a novel hardware-aware neural architecture search approach called ESC-NAS, to design and develop deep convolutional neural network architectures specifically tailored for handling raw audio inputs in environmental sound classification applications under limited computational resources. The ESC-NAS process consists of a novel cell-based neural architecture search space built with 2D convolution, batch normalization, and max pooling layers, and capable of extracting features from raw audio.

The collateral effects of COVID-19 on marine pollution.

The COVID-19 pandemic has gained significant attention to the intersection of public health crises and environmental challenges, particularly in the context of marine pollution. This paper examines the various impacts of the pandemic on marine environments, focusing on the pollution attributed to single-use plastics (SUPs) and personal protective equipment (PPE). Drawing on a comprehensive analysis of literature and case studies, the paper highlights the detrimental effects of increased plastic waste on marine ecosystems, biodiversity, and human health.

Characterization of new cellulosic fiber derived from (L.) thwaites rhizome and its potential use as biodegradable textile material.

Fibers extracted from (L.) thwaites (LS) were characterized to investigate their potential use as biodegradable textile materials. Mechanical and alkali extraction methods were followed to extract LS rhizome fibers.

Development of Light, Strong, and Water-Resistant PVA Composite Aerogels.

A significant weakness of many organic and inorganic aerogels is their poor mechanical behaviour, representing a great impediment to their application. For example, polymer aerogels generally have higher ductility than silica aerogels, but their elastic modulus is considered too low. Herein, we developed extremely low loading (<1 wt%) 2D graphene oxide (GO) nanosheets modified poly (vinyl alcohol) (PVA) aerogels via a facile and environmentally friendly method.

Uncovering the recycling potential of industrial waste in Sri Lanka.

The generation of industrial waste is mainly dependent on several factors, including the type of industry, production capacity, technology use and raw materials involved in the manufacturing processes. The present study is a cross-sectional study that was conducted with 580 industries under six industrial sectors in Sri Lanka in 2022. The main objective of this research was to investigate solid waste generation and estimate the recyclable fraction in the waste.