Assessing the potential acoustic impact of floating offshore wind farms in the Central Mediterranean Sea.

The Strait of Sicily, a vital marine passage with diverse fauna, is seeing a steep rise in the planning of offshore wind farm projects. This study assesses the acoustic impact of these wind farms on local marine species. Underwater propagation was modeled for three proposed floating wind farms using JASCO's Marine Operations Noise Model (MONM), which integrates a parabolic equation method for frequencies from 10 to 800 Hz and a beam-tracing model for 1 to 25 kHz.

Street-scale black carbon modelling over the West Midlands, United Kingdom: Sensitivity test of traffic emission factor adjustments.

Black carbon is harmful for climate, environment, and human health. Road traffic is one of the major sources for black carbon in urban areas. This study develops a street scale air quality model configuration for the dispersion of black carbon concentrations across the West Midlands, UK, incorporating updated road traffic emission factors.

Safety and efficacy of tamoxifen in non-ambulant patients with Duchenne muscular dystrophy: a multicentre, randomised, double-blind, placebo-controlled, phase 3 trial (TAMDMD Group B).

Most patients with Duchenne muscular dystrophy (DMD) are non-ambulant. Preserving proximal motor function is crucial, rarely studied. Tamoxifen, a selective oestrogen receptor modulator, reduced signs of muscular pathology in a DMD mouse model.

Impact of Online Interactive Decision Tools on Women's Decision-Making Regarding Breast Cancer Screening: Systematic Review and Meta-Analysis.

Background: The online nature of decision aids (DAs) and related e-tools supporting women's decision-making regarding breast cancer screening (BCS) through mammography may facilitate broader access, making them a valuable addition to BCS programs.

Objective: This systematic review and meta-analysis aims to evaluate the scientific evidence on the impacts of these e-tools and to provide a comprehensive assessment of the factors associated with their increased utility and efficacy.

Methods: We followed the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and conducted a search of MEDLINE, PsycINFO, Embase, CINAHL, and Web of Science databases from August 2010 to April 2023.

Understanding Individual Differences in Happiness Sources and Implications for Health Technology Design: Exploratory Analysis of an Open Dataset.

Background: Psychologists have developed frameworks to understand many constructs, which have subsequently informed the design of digital mental health interventions (DMHIs) aimed at improving mental health outcomes. The science of happiness is one such domain that holds significant applied importance due to its links to well-being and evidence that happiness can be cultivated through interventions. However, as with many constructs, the unique ways in which individuals experience happiness present major challenges for designing personalized DMHIs.

Evaluation of the Recent Dynamics for Funding Medicinal Chemistry Projects in Academia. Results of a Survey Conducted by IUPAC Division VII (Chemistry and Human Health).

Data collected from scholars across twenty-three countries over the past decade (2010-2019) reveals a 40% decrease in financial support for medicinal chemistry projects. The decline is especially notable among projects focused on small organic molecules. This drop in grants indicates a troubling trend that could jeopardize future drug development by undermining research in this crucial field.

Epidemiological analysis of Leishmaniasis prevalence in Pakistan during 2016-2023.

Leishmaniasis, caused by the Leishmania parasite, remains a persistent public health challenge in Pakistan. Despite control efforts, the disease prevalence continues to rise, particularly among pediatric populations. Understanding prevalence patterns and transmission dynamics is critical for effective control strategies.

Prevalence and clinical profile of hepatitis C virus infections in multitransfused thalassemic patients in the capital twin cities of Pakistan.

Hepatitis C virus (HCV) presents a significant global health concern, affecting 3.3% of the world's population. The primary mode of HCV transmission is through blood and blood products.

Cutting-edge: bionanomaterial solutions in the battle against Severe Acute Respiratory Syndrome Coronavirus 2.

Amidst the ongoing COVID-19 pandemic, the imperative of our time resides in crafting stratagems of utmost precision to confront the relentless SARS-CoV-2 and quell its inexorable proliferation. A paradigm-shifting weapon in this battle lies in the realm of nanoparticles, where the amalgamation of cutting-edge nanochemistry begets a cornucopia of inventive techniques and methodologies designed to thwart the advances of this pernicious pathogen. Nanochemistry, an artful fusion of chemistry and nanoscience, provides a fertile landscape for researchers to craft innovative shields against infection.

[Quality evaluation of Brazilian Mortality Information System (SIM): a scoping review].

The aim was to map evidence on the quality of records in the Mortality Information System (SIM) through a national scoping review of articles published up to April 2023 across five databases (PubMed, Embase, Scopus, LILACS, and SciELO). Studies focused on specific causes of death were excluded. Dimensions evaluated included accessibility, methodological clarity, coverage, completeness, reliability, consistency, non-duplication, timeliness, validity, and studies on ill-defined causes/garbage codes.

Near-infrared spectroscopy discriminates mass-reared sterile and wild tsetse flies.

Background: Monitoring the efficacy of the sterile insect technique (SIT) programs, it is desirable to discriminate between wild and sterile tsetse males captured in monitoring traps. Currently, this is primarily achieved by marking sterile males with fluorescent dye powder before release, and identifying them using a fluorescence camera and/or microscope. However, the accuracy of this method is limited due to defective marking and wild flies contaminated with a few dye particles in the monitoring traps.

Do global health networks facilitate innovation, learning and sharing? A qualitative analysis of the Quality-of-Care Network in Bangladesh, Ethiopia, Malawi, and Uganda.

The Quality-of-Care Network (QCN), launched by WHO and partners, links global and national actors across several countries to improve maternal and newborn health. We conducted a prospective qualitative study to examine how QCN in Bangladesh, Ethiopia, Malawi and Uganda facilitated learning, sharing, and innovation within and between network countries. We conducted 227 key informant interviews with QCN actors at global, national, and facility levels iteratively in two to four rounds from June 2019 to March 2022.

Strong precursor softening in cubic CaSiO perovskite.

CaSiO[Formula: see text] perovskite (CaPv) is the last major mineral in the Earth's lower mantle whose elasticity remains largely unresolved. Here, we investigate the elasticity of CaPv using ab initio machine-learning force fields (MLFF). At room temperature, the elasticity of tetragonal CaPv determined by MLFF molecular dynamics (MD) agrees well with experimental measurements after considering temperature induced variations in the hydrostatic structure, proving the effectiveness of the method.

The role of oscillations in grid cells' toroidal topology.

Persistent homology applied to the activity of grid cells in the Medial Entorhinal Cortex suggests that this activity lies on a toroidal manifold. By analyzing real data and a simple model, we show that neural oscillations play a key role in the appearance of this toroidal topology. To quantitatively monitor how changes in spike trains influence the topology of the data, we first define a robust measure for the degree of toroidality of a dataset.

European ILD registry algorithm for self-assessment in interstitial lung diseases (eurILDreg ASA-ILD).

Background And Aims: Predicting progression and prognosis in Interstitial Lung Diseases (ILD), especially Idiopathic Pulmonary Fibrosis (IPF) and Progressive Pulmonary Fibrosis (PPF), remains a challenge. Integrating patient-centered measurements is essential for earlier and safer detection of disease progression. Home monitoring through e-health technologies, such as spirometry and oximetry connected to smartphone applications, holds promise for early detection of ILD progression or acute exacerbations, enabling timely therapeutic interventions.

morphoHeart: A quantitative tool for integrated 3D morphometric analyses of heart and ECM during embryonic development.

Heart development involves the complex structural remodelling of a linear heart tube into an asymmetrically looped and ballooned organ. Previous studies have associated regional expansion of extracellular matrix (ECM) space with tissue morphogenesis during development. We have developed morphoHeart, a 3D tissue segmentation and morphometry software with a user-friendly graphical interface (GUI) that delivers the first integrated 3D visualisation and multiparametric analysis of both heart and ECM morphology in live embryos.

REACH assessment of humans exposed to chemicals indirectly via the environment: screening modeling in EUSES versus state of the science.

The assessment of humans indirectly exposed to chemicals via the environment (HvE) is an assessment element of the Registration, Evaluation, Authorisation, and Restriction of Chemicals (REACH) regulation. The European Union System for the Evaluation of Substances (EUSES) is the default screening tool, aimed at prioritizing chemicals for further refinement/higher tier assessment. This review summarizes the approach used in EUSES, evaluates the state of the science in human exposure modeling via the environment, and identifies areas for further research to strengthen the confidence and applicability of EUSES for assessing HvE.

Covariate-adjusted construction of gene regulatory networks using a combination of generalized linear model and penalized maximum likelihood.

Many machine learning techniques have been used to construct gene regulatory networks (GRNs) through precision matrix that considers conditional independence among genes, and finally produces sparse version of GRNs. This construction can be improved using the auxiliary information like gene expression profile of the related species or gene markers. To reach out this goal, we apply a generalized linear model (GLM) in first step and later a penalized maximum likelihood to construct the gene regulatory network using Glasso technique for the residuals of a multi-level multivariate GLM among the gene expressions of one species as a multi-levels response variable and the gene expression of related species as a multivariate covariates.

The impact of specialised gastroenterology services for pelvic radiation disease (PRD): Results from the prospective multi-centre EAGLE study.

To undertake a mixed-methodology implementation study to improve the well-being of men with gastrointestinal late effects following radical radiotherapy for prostate cancer. All men completed a validated screening tool for late bowel effects (ALERT-B) and the Gastrointestinal Symptom Rating Score (GSRS); men with a positive score on ALERT-B were offered management following a peer reviewed algorithm for pelvic radiation disease (PRD). Health-related quality of life (HRQoL) at baseline, 6 and 12 months; and healthcare resource usage (HRU) and patient, support-giver, staff experience and acceptability of staff training (qualitative analysis) were assessed.

Heterogeneity analysis provides evidence for a genetically homogeneous subtype of bipolar-disorder.

Background: Bipolar Disorder (BD) is a complex disease. It is heterogeneous, both at the phenotypic and genetic level, although the extent and impact of this heterogeneity is not fully understood. One way to assess this heterogeneity is to look for patterns in the subphenotype data.

A simple tool to evaluate the effectiveness of HIV care for settings with gaps in data availability (ESTIHIV).

Many HIV clinics with poor IT-infrastructure are unable to report data on individuals in care with HIV, on antiretroviral treatment (ART) and virologically suppressed (VS), with the aim of monitoring the HIV Continuum of Care to estimate efficacy of HIV treatment programmes. We developed an estimation-tool, ESTIHIV, and determined the minimal data required for a random sample, to produce representative estimates, with a specified level of precision, of people with HIV on ART and VS. For proof of concept, 8852 HIV positive persons from seven clinics in seven different countries, with a follow-up visit during 2017, were included.