Holographic multiple-input multiple-output (HMIMO) technology holds great promise for delivering high energy and spectral efficiency, boosting system capacity, enhancing diversity, and achieving other significant Hammock performance gains.In this work, we focus on the issue of HMIMO symbol detection, which is challenging due to the non-ideal charac
Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models
Data assimilation is used in atmospheric chemistry models to improve air quality forecasts, construct re-analyses of three-dimensional chemical (including aerosol) concentrations and perform inverse modeling of input variables or model parameters (e.g., emissions).Coupled chemistry meteorology models (CCMM) are atmospheric chemistry models that sim
ISSUES OF EFFICIENCY FOR PUBLIC-PRIVATE PARTNERSHIPS IN THE WATER SECTOR
The water resources are critical for the economic development in a country or region, since the pollution and depletion of the waters are raising concerns for the environmental and economic efficiency of their management.This SET outlook calls for analysis on economic and financial issues and risks associated with specific investment projects in wa
Reasons for living and dying in suicide attempters: a two-year prospective study
Abstract Background The internal suicide debate hypothesis assumes that in a suicidal crisis, individuals are involved in an internal struggle over whether to live or die.Reasons for living (RFL) and Reasons for dying (RFD) are important individual reasons for staying alive (e.g.family) or wanting to die (e.g.hopelessness) and reflect this internal
A Lightweight Change Detection Network Based on Feature Interleaved Fusion and Bistage Decoding
Hammock Deep learning techniques for change detection have undergone rapid development in the past few years.However, it is still a challenge how to reduce massive network parameters and sufficiently fuse bitemporal image features to improve detection accuracy.Therefore, this work proposes a novel and lightweight network based on feature interleave