Results 211 to 220 of about 631,638 (309)

Anti‐Globalization Dynamics and Africa's Structural Transformation: Identifying Avoidable Environmental Degradation Thresholds

Sustainable Development, EarlyView.
ABSTRACT This study pursues a dual objective. First, it investigates the unconditional impact of anti‐globalization on structural transformation in Africa. Second, it explores how environmental degradation interacts with anti‐globalization to influence structural transformation. The analysis focuses on 52 African countries over the period 2005–2023. To
Simplice A. Asongu, Ekene ThankGod Emeka
wiley   +1 more source

Illegal Gold Mining in the Brazilian Amazon: Environmental Degradation in Yanomami Indigenous Lands, and Regulatory Failures

Sustainable Development, EarlyView.
ABSTRACT Illegal gold mining has emerged as a major sustainability threat in the Amazon, eroding Indigenous rights, forest integrity, and climate mitigation efforts. This study examines how international market incentives relate to the expansion of illegal mining and associated deforestation within the Yanomami Indigenous Territory (YIT) from 2008 to ...
Shirléia Lago Santos, Ana Claudia de Araujo Moxotó, Jurandir Moura Dutra   +2 more
wiley   +1 more source

Evidence of Impaired Neuroimmune System in Post-COVID Syndrome-A Whole Brain Magnetic Resonance Spectroscopy Study. [PDF]

J Med Virol
Hennemann AK, Mahmoudi N, Döring K, Lanfermann H, Weissenborn K, Dirks M, Ding XQ.   +6 more
europepmc   +1 more source

Pre‐Existing Nocturia Status Predicts Bladder Symptom Exacerbation Following COVID‐19 Vaccination in Women

The Kaohsiung Journal of Medical Sciences, EarlyView.
Hsien‐Che Ou, Hao‐Wei Chen, Yung‐Shun Juan, Yu‐Chen Chen   +3 more
wiley   +1 more source

Recent advances of non‐invasive sensors for smart wearable respiratory monitoring

VIEW, EarlyView.
Respiration contains rich physiological and pathological information, making it one of the most fundamental and continuous vital signs. Respiration monitoring is a non‐invasive and simple, but incredibly powerful, tool for assessing health, managing disease, and tracking fitness.
Jianhui Chen, Baoxiang Yang, Chang Peng, Bao Yang, Licheng Zhou, Zhenyu Jiang, Zejia Liu, Yiping Liu, Liqun Tang   +8 more
wiley   +1 more source

Effectiveness of Five-Element Regulatory Therapy for post-COVID syndrome: a retrospective cohort study. [PDF]

Front Med (Lausanne)
Ding N, Zhou Y, Zhang H, Xin X, Ye Y, Li D.   +5 more
europepmc   +1 more source

Integrating mass spectrometry and systems biology for the modernization of natural medicines: From deciphering chemical complexity to holistic efficacy assessment

VIEW, EarlyView.
This review explores how mass spectrometry is transforming research in natural medicines, with Traditional Chinese medicine (TCM) as a primary exemplar. It details the application of advanced mass spectrometry in chemical analysis, the development of comprehensive quality control methods, and systematic research on the targeted mechanisms of single ...
Yudian Xu, Linlin Cao, Chenhuan Ding, Chen Wang, Yi Lai, Dan Ru, He Li, Wei Xu   +7 more
wiley   +1 more source

REGENECYTE cord blood cell therapy in post-COVID syndrome: a phase IIa randomized, placebo-controlled trial. [PDF]

EClinicalMedicine
Huang YW, Chen YC, Lun Lau EY, Su YC, Tai LK, Rosenthal J, Wang J, Lee TY.   +7 more
europepmc   +1 more source

The association between Post-COVID syndrome and self-stigma among the adult Israeli population during the COVID-19 pandemic. [PDF]

BMC Public Health
Polovin T, Bilenko N, Frankenthal D, Bromberg M, Keinan-Boker L, Davidovitch N.   +5 more
europepmc   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source