Benefit analysis of multi-approach biomass energy utilization toward carbon neutrality

To reduce greenhouse gas(GHG)emissions,biomass has been increasingly developed as a renewable and clean alternative to fossil fuels because of its carbon-neutral characteristics.China has been investigating the rational development and use of bioenergy for developing its clean energy and achieving carbon neutrality.Substituting fossil fuels with multi-source and multi-approach utilized bioenergy and corresponding carbon reduction in China remain largely unexplored.Here,a comprehensive bioenergy accounting model with a multi-dimensional analysis was developed by combining spatial,life cycle,and multi-path analyses.Accordingly,the bioenergy production potential and GHG emission reduction for each distinct type of biomass feedstock through different conversion pathways were estimated.The sum of all available organic waste(21.55 EJ yr^(-1))and energy plants on marginal land(11.77 EJ yr^(-1))in China produced 23.30 EJ of bioenergy and reduced 2,535.32 Mt CO_(2)-eq emissions,accounting for 19.48%and 25.61%of China’s total energy production and carbon emissions in 2020,respectively.When focusing on the carbon emission mitigation potential of substituting bioenergy for conventional counterparts,bioelectricity was the most effective,and its potential was 4.45 and 8.58 times higher than that of gaseous and liquid fuel alternatives,respectively.In this study,life cycle emission reductions were maximized by a mix of bioenergy end uses based on biomass properties,with an optimal 78.56%bioenergy allocation from biodiesel,densified solid biofuel,biohydrogen,and biochar.The main regional bioenergy GHG mitigation focused on the Jiangsu,Sichuan,Guangxi,Henan,and Guangdong provinces,contributing to 31.32%of the total GHG mitigation potential.This study provides valuable guidance on exploiting untapped biomass resources in China to secure carbon neutrality by 2060.

多元响应变量超高维线性模型的经验似然特征筛选方法

本文针对多元响应变量超高维线性模型建立一种经验似然特征筛选方法.新方法基于多元矩条件构建经验似然,因而响应变量之间的相关性得以被应用,筛选有效性得到大幅提升.同时,新方法被进一步推广到条件方法,可以有效地恢复出模型中的隐藏变量.本文证明新方法及对应条件方法均具有确定性筛选性质,数值模拟与实际数据分析也验证了新方法的有效性.

How far has the globe gone in achieving One Health?Current evidence and policy implications based on global One Health index

Background In the 21st century,as globalization accelerates and global public health crises occur,the One Health approach,guided by the holistic thinking of human-animal-environment and emphasizing interdisciplinary collaboration to address global health issues,has been strongly advocated by the international community.An immediate requirement exists for the creation of an assessment tool to foster One Health initiatives on both global and national scales.Methods Built upon extensive expert consultations and dialogues,this follow-up study enhances the 2022 global One Health index(GOHI)indicator system.The GOHI framework is enriched by covering three indices,e.g.external drivers index(EDI),intrinsic drivers index(IDI),and core drivers index(CDI).The comprehensive indicator system incorporates 13 key indicators,50 indicators,and 170 sub I-indicators,utilizing a fuzzy analytic hierarchy process to ascertain the weight for each indicator.Weighted and summed,the EDI,IDI,and CDI scores contribute to the computation of the overall GOHI 2022 score.By comparing the ranking and the overall scores among the seven regions and across 160 countries/territories,we have not only derived an overall profile of the GOHI 2022 scores,but also assessed the GOHI framework.We also compared rankings of indicators and sub I-indicators to provide greater clarity on the strengths and weaknesses of each region within the One Health domains.Results The GOHI 2022 performance reveals significant disparities between countries/territories ranged from 39.03 to 70.61.The global average score of the GOHI 2022 is 54.82.The average score for EDI,IDI,and CDI are 46.57,58.01,and 57.25,respectively.In terms of global rankings,countries from North America,Europe and Central Asia,East Asia and Pacific present higher scores.In terms of One Health domains of CDI,the lowest scores are observed in antimicrobial resistance(median:43.09),followed by food security(median:53.78),governance(median:54.77),climate change(median:64.12)and zoonotic diseases(median:69.23).Globally,the scores of GOHI vary spatially,with the highest score in North America while lowest in sub-Saharan Africa.In addition,evidence shows associations between the socio-demographic profile of countries/territories and their GOHI performance in certain One Health scenarios.Conclusion The objective of GOHI is to guide impactful strategies for enhancing capacity building in One Health.With advanced technology and an annually updated database,intensifying efforts to refine GOHI's data-mining methodologies become imperative.The goal is to offer profound insights into disparities and progressions in practical One Health implementation,particularly in anticipation of future pandemics.

Nanotechnology for cardiovascular diseases

Cardiovascular diseases have become the major killers in today’s world,among which coronary artery diseases(CADs)make the greatest contributions to morbidity and mortality.Although state-of-the-art technologies have increased our knowledge of the cardiovascular system,the current diagnosis and treatment modalities for CADs still have limitations.As an emerging cross-disciplinary approach.