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http://dx.doi.org/10.1136/jech-2016-208711 | DOI Listing |
Xenobiotica
January 2025
Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Athens, Greece.
Idiopathic Pulmonary Fibrosis (IPF) is a chronic respiratory disorder for which pirfenidone is the recommended first-line anti-fibrotic treatment. While pirfenidone has demonstrated efficacy in slowing the progression of IPF, its use is associated with several challenges and unresolved issues that impact patient outcomes. Pirfenidone administration can result in gastrointestinal side effects, photosensitivity reactions, and significant drug interactions, particularly in patients with hepatic impairment.
View Article and Find Full Text PDFBrain Topogr
January 2025
Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.
By gaining insights into how brain activity is encoded and decoded, we enhance our understanding of brain function. This study introduces a method for classifying EEG signals related to visual objects, employing a combination of an LSTM network and nonlinear interval type-2 fuzzy regression (NIT2FR). Here, ResNet is utilized for feature extraction from images, the LSTM network for feature extraction from EEG signals, and NIT2FR for mapping image features to EEG signal features.
View Article and Find Full Text PDFNurs Health Sci
March 2025
Department of Neurology, The Third People's Hospital of Cheng Du, Chengdu, China.
To explore the level and influencing factors of caregivers' benefit finding in stroke patients from both the patient and caregiver perspectives. The growing number of stroke patients with physical impairments has presented significant challenges for caregivers. Benefit finding refers to the positive experience caregivers derive from their caregiving roles, which can help mitigate the adverse effects on their mental health.
View Article and Find Full Text PDFEnviron Res
January 2025
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Earth Critical Zone and Flux Research Station of Xing'an Mountains, Chinese Academy of 15 Sciences, Daxing'anling 165200, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 10049, China. Electronic address:
Accurate quantifying of methane (CH) emissions is a critical aspect of current research on regional carbon budgets. However, due to limitations in observational data, research methodologies, and an incomplete understanding of process mechanisms, significant uncertainties persist in the assessment of wetland CH fluxes in China. In this study, we developed a machine learning model by integrating measured CH fluxes with related environmental data to produce a high-resolution (1 km) dataset of CH fluxes from China's wetlands for the period 2000-2020.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Working Group for Data-Driven Innovation, Hamburg University of Technology, Hamburg, Germany.
Background: Health care innovation faces significant challenges, including system inertia and diverse stakeholders, making regulated market access pathways essential for facilitating the adoption of new technologies. The German Digital Healthcare Act, introduced in 2019, offers a model by enabling digital health applications (DiGAs) to be reimbursed by statutory health insurance, improving market access and patient empowerment. However, the factors influencing the success of these pathways in driving innovation remain unclear.
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