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Ecosystem productivity and carbon dynamics in Keibul Lamjao National Park, Manipur, India: a gray relational analysis perspective.
Environ Monit Assess
January 2025
Centre of Excellence On Sustainable Land Management, Indian Council of Forestry and Education, Dehradun, 248006, Uttarakhand, India.
An in-depth understanding of carbon dynamics and ecosystem productivity is essential for conservation and management of different ecosystems. Ecosystem dynamics and carbon budget are assessed by estimating net ecosystem production (NEP) across different global ecosystems. An ecological productivity assessment of forest and floating meadow ecosystems in Keibul Lamjao National Park (KLNP), Manipur, North East India, was conducted using the multi-criteria decision-making process namely, gray relational analysis (GRA).
View Article and Find Full Text PDFSmall Gap Dynamics in High Mountain Central European Spruce Forests-The Role of Standing Dead Trees in Gap Formation.
Plants (Basel)
December 2024
Department of Forest Resource Planning and Informatics, Faculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, 960 01 Zvolen, Slovak Republic.
Gap dynamics are driving many important processes in the development of temperate forest ecosystems. What remains largely unknown is how often the regeneration processes initialized by endogenous mortality of dominant and co-dominant canopy trees take place. We conducted a study in the high mountain forests of the Central Western Carpathians, naturally dominated by the Norway spruce.
View Article and Find Full Text PDFDevelopment of Composite Microbial Products for Managing Pine Wilt Disease in Infected Wood Stumps.
Microorganisms
December 2024
Key Laboratory of Forest Protection of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, No. 2 Dongxiaofu, Haidian, Beijing 100091, China.
Wood-decay fungi, including white- and brown-decay fungi, are well known for their ability to degrade lignin and cellulose, respectively. The combined use of these fungi can increase the decomposition of woody substrates. Research has indicated that these fungi also exhibit inhibitory effects against , the causative agent of pine wilt disease (PWD).
View Article and Find Full Text PDFFedPneu: Federated Learning for Pneumonia Detection across Multiclient Cross-Silo Healthcare Datasets.
Curr Med Imaging
January 2025
Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
Background: Pneumonia is an acute respiratory infection that has emerged as the predominant catalyst for escalating mortality rates worldwide. In the pursuit of the prevention and prediction of pneumonia, this work employs the development of an advanced deep-learning model by using a federated learning framework. The deep learning models rely on the utilization of a centralized system for disease prediction on the medical imaging data and pose risks of data breaches and exploitation; however, federated learning is a decentralized architecture which significantly reduces data privacy concerns.
View Article and Find Full Text PDFMulti-Task Deep Neural Networks for Irregularly Sampled Multivariate Clinical Time Series.
Proc (IEEE Int Conf Healthc Inform)
June 2024
College of Medicine, University of Florida, Gainesville, FL, USA.
Multivariate clinical time series data, such as those contained in Electronic Health Records (EHR), often exhibit high levels of irregularity, notably, many missing values and varying time intervals. Existing methods usually construct deep neural network architectures that combine recurrent neural networks and time decay mechanisms to model variable correlations, impute missing values, and capture the impact of varying time intervals. The complete data matrices thus obtained from the imputation task are used for downstream risk prediction tasks.
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