Local Changes Research Articles

Linking deep-time subduction history to modern day expressions of dynamic topography

Dynamic topography refers to vertical deflections of Earth’s surface from viscous flow within the mantle. Here we investigate how past subduction history affects present dynamic topography. We assimilate two plate reconstructions into TERRA forward mantle convection models to calculate past mantle states and predict Earth’s present dynamic topography; a comparison is made with a database of observed oceanic residual topography. The two assimilated plate reconstructions ‘Earthbyte’ and ‘Tomopac’ show divergent subduction histories across an extensive deep-time interval within Pacific-Panthalassa. We find that introducing an alternative subduction history perturbs our modelled present-day dynamic topography on the same order as the choice of radial viscosity. Additional circum-Pacific intra-oceanic subduction in Tomopac consistently produces higher correlations to the geoid (more than 20% improvement). At spherical harmonic degrees 1–40, dynamic topography models with intra-oceanic subduction produce universally higher correlations with observations and improve fit by up to 37%. In northeast Asia, Tomopac models show higher correlations (0.46 versus 0.18) to observed residual topography and more accurately predict approximately 1 km of dynamic subsidence within the Philippine Sea plate. We demonstrate that regional deep-time changes in subduction history have widespread impacts on the spatial distribution and magnitude of present-day dynamic topography. Specifically, we find that local changes to plate motion histories can induce dynamic topography changes in faraway regions located thousands of kilometres away. Our results affirm that present-day residual topography observations provide a powerful, additional constraint for reconstructing ancient subduction histories.

Local goal-based governance: a novel approach to environmental sustainability in China?

Abstract The recent emergence of goal-based governance at global scale may be considered as a new approach to enhance environmental sustainability at local level. This article examines how local goal-based governance actually unfolds with a focus on its fundamental features and effectiveness. We build a conceptual framework for local goal-based governance which consists of three key elements: nature of problem, setting the goals, and achieving the goals. It provides a set of theoretical propositions: 1) the problems with two defining features are more amendable to goal-setting strategies, 2) setting a specified, practical, and learning-focused goal structure as the key premise, 3) goal attainment is built around a campaign-mode experimentation to try and find out locally appropriate approaches, a double-layered engagement between civil society and statutory institutions, and a system to track the goals through quantitative and qualitative measures. Based on semi-structured interviews and documents analysis, we adopt a case study of Chinese local waste management to test the theory and explain the unique process of local goal-based governance. This article also discusses how local goal-based governance differs from the traditional rule-based governance and further explores how these two governance strategies interact with each other to realize local changes. We highlight two complementary effects: enabling and compensating. Local goal-based governance has unique strengths to compensate for the weakness of rule-based system in promoting civic engagement; and meanwhile rule-based governance creates favorable social conditions within which local goal-based governance is initiated and developed. The inherent limitations of local goal-based governance are also discussed.

Health and air pollutant emission impacts of net zero CO2 by 2050 scenarios from the energy modeling forum 37 study

Carbon dioxide and non-greenhouse gas air pollutants are emitted from many of the same sources. Decarbonization actions thus typically yield air pollutant emission reductions, resulting in significant air quality benefits. Although several studies have highlighted this connection, including in the context of net zero carbon emission targets, substantial uncertainty remains regarding how alternative technological pathways to this goal will affect the spatial distribution and magnitude of air pollutants. Comprehensive multi-model and multi-scenario analyzes are needed to explore the relative impacts of alternative pathways. Our study begins to address this gap by leveraging the results from the recent Energy Modeling Forum 37 inter-model comparison exercise on U.S. decarbonization pathways. Comparing the results of the six teams who submitted air pollutant emissions suggests that strategies that target net zero U.S. carbon emissions would yield significant reductions in many air pollutants, and that this finding is generally robust across pathways. However, some energy sources, such as biomass and fossil fuels with carbon capture, will emit air pollutants and can potentially influence the magnitude, spatial distribution, and even sign of localized air pollutant emission changes. In the second part of this analysis, a simplified air quality and health impacts screening model is used to evaluate the air quality impacts in 2035 of sectoral emission changes from the three models that provided sectoral detail. Relative to a reference scenario, a net zero pathway is estimated to reduce fine particulate matter concentrations across the contiguous U.S., with health benefits from reduced mortality ranging from $65 billion to $250 billion in 2035 alone (2023$s). These benefits would be expected to grow over time as the net zero trajectory becomes more stringent. Both the magnitude of potential benefits and the substantial variation of the projections across models underscore the need for an EMF-like inter-model comparison exercise focused on air quality.

Volatilome is Inflammasome- and Lipidome-dependent in Ischemic Heart Disease.

Ischemic heart disease (IHD) is a pathology of global interest because it is widespread and has high morbidity and mortality. IHD pathophysiology involves local and systemic changes, including lipidomic, proteomic, and inflammasome changes in serum plasma. The modulation in these metabolites is viable in the pre-IHD, during the IHD period, and after management of IHD in all forms, including lifestyle changes and pharmacological and surgical interventions. Therefore, these biochemical markers (metabolite changes; lipidome, inflammasome, proteome) can be used for early prevention, treatment strategy, assessment of the patient's response to the treatment, diagnosis, and determination of prognosis. Lipidomic changes are associated with the severity of inflammation and disorder in the lipidome component, and correlation is related to disturbance of inflammasome components. Main inflammasome biomarkers that are associated with coronary artery disease progression include IL-1β, Nucleotide-binding oligomerization domain- like receptor family pyrin domain containing 3 (NLRP3), and caspase-1. Meanwhile, the main lipidome biomarkers related to coronary artery disease development involve plasmalogen lipids, lysophosphatidylethanolamine (LPE), and phosphatidylethanolamine (PE). The hypothesis of this paper is that the changes in the volatile organic compounds associated with inflammasome and lipidome changes in patients with coronary artery disease are various and depend on the severity and risk factor for death from cardiovascular disease in the time span of 10 years. In this paper, we explore the potential origin and pathway in which the lipidome and or inflammasome molecules could be excreted in the exhaled air in the form of volatile organic compounds (VOCs).

Unveiling degradation mechanisms of anode-free Li-metal batteries

Anode-free Li-metal batteries (AFLMBs), in which Li+ ions from the cathode are deposited on a Cu substrate and the deposited Li-metal serves as the anode, exhibit higher energy density compared to Li-metal batteries (LMBs). However, achieving stable cycle performance, even at moderate operating conditions, is difficult and has so far hindered their practical uses. In AFLMBs, the homogeneity of solid electrolyte interphase (SEI), initially created by electrolyte reduction on Cu substrate, is not maintained during Li-metal deposition, leading to uncontrolled electrolyte decomposition. The SEI is therefore not conserved, and uneven Li deposition morphology is induced on the Cu substrate and the eventual instability of SEI leads to the overall degradation of AFLMBs. Here, we report on the failure mechanisms of AFLMBs through a comparative study with LMBs using 3 M lithium bis(fluorosulfonyl)imide (LiFSI) dissolved in N,N-dimethylsulfamoyl fluoride. Our investigation reveals that the SEI inhomogeneity in AFLMBs makes Li+ transport through SEI sluggish and non-uniform, triggering local compositional changes of the initially formed SEI on the Cu substrate and unwanted consumption of FSI– anion from the electrolyte. This work provides clear understanding to the interfacial engineering and important roles of Li-metal on the Cu substrate in AFLMBs, promising the creation of stable SEI, reversible electrochemical reaction of Li-metal, and interfacial stability of the cathode in LMBs.

Senescence, change, and competition: When the desire to pick one model harms our understanding

The question of why we age is a fundamental one. It is about who we are, and it also might have critical practical aspects as we try to find ways to age slower. Or to not age at all. Different reasons point at distinct strategies for the research of anti-ageing drugs. While the main reason why biological systems work as they do is evolution, for quite a while, it was believed that aging required another explanation. Aging seems to harm individuals so much that even if it has group benefits, those benefits were unlikely to be enough. That has led many scientists to propose non-evolutionary explanations as to why we age. But those theories seem to fail at explaining all the data on how species age. Here, I will show that the insistence of finding the one idea that explains it all might be at the root of the difficulty of getting a full picture. By exploring an evolutionary model of aging where locality and temporal changes are fundamental aspects of the problem, I will show that environmental change causes the barrier for group advantages to become much weaker. That weakening might help small group advantages to add up to the point they could make an adaptive difference. To answer why we age, we might have to abandon asking which models are correct. The full answer might come from considering how much each hypothesis behind each existing model, evolutionary and non-evolutionary ones, contributes to the real world’s solution.

Downward Revision of Investment Decisions after Corporate Tax Hikes

This paper estimates the causal effect of corporate tax hikes on firm investment based on more than 1,400 local tax changes. By observing planned and realized investment volumes in a representative sample of German manufacturing firms, we can study how tax hikes induce firms to revise their investment decisions. On average, the share of firms that invest less than previously planned increases by 3 percentage points after a tax hike. This effect is twice as large during recessions. (JEL D22, E32, G31, H25, H32, H71, L60)

A multi-task learning framework for aerodynamic computation of two-dimensional airfoils

Accurate and efficient prediction of airfoil aerodynamic coefficients is essential for improving aircraft performance. However, current research often encounters significant challenges in balancing accuracy with computational efficiency when predicting complex aerodynamic coefficients. In this paper, a Multi-Task Learning framework for Aerodynamic parameters Computation (MTL4AC) of two-dimensional (2D) airfoils is proposed. The MTL4AC processes two key subtasks: flow field prediction and pressure coefficient prediction. These two subtasks complement each other to reveal both global and local aerodynamic changes around the airfoil. The flow field prediction provides a coarse-grained global perspective, which focuses on the pressure and velocity variations on and around the airfoil surface. The pressure coefficient prediction offers a fine-grained local perspective, which concentrates on the pressure distribution on the airfoil surface to accurately calculate lift and drag coefficients. The MTL4AC demonstrated substantial improvements in the experiments conducted on the public dataset, achieving significant enhancements in accuracy and stability. This research contributes an accurate and efficient framework for aerodynamic computation, integrating geometric features and advanced multi-task learning techniques to achieve superior performance in predicting aerodynamic coefficients.

Species loss and decline in taxonomic diversity of macroalgae in the Gulf of Trieste (Northern Adriatic sea) over the last six decades

Assessing historical changes in marine biodiversity at regional or local scales is often challenging due to insufficient long-term data for most marine organisms. Yet, these assessments are crucial to understanding potential long-term variation in the species pool in response to complex and interacting local and global environmental changes. Here, we performed a comprehensive review of scientific and grey literature, archival records and floristic data spanning over the last two centuries to reconstruct an updated and revised taxonomic dataset of macroalgae in the Gulf of Trieste (Northern Adriatic Sea), one of the most exposed to human-driven pressures and climatically vulnerable regions in the Mediterranean Sea. The subset of data from 1960 to present, encompassing nearly all available records, was used to assess the contribution of species replacement and gain/loss to temporal β-diversity and to test for changes in the taxonomic distinctness of the species pool over the past six decades.We identified 68 species that have never been recorded again since 1990, indicating their likely local extinction. The major change, however, was due to species replacement and to a reduction in the taxonomic breadth of macroalgal diversity, as highlighted by a significant decrease in the Average Taxonomic Distinctness of the species pool, especially along the Italian coast. The loss of species has mainly affected habitat-formers (e.g., Cystoseira sensu lato) and species with Atlantic/Circumboreal and Mediterranean affinities, which were replaced by turf-formers and species with Pantropical/Cosmopolitan/IndoPacific affinities. While multiple human impacts (e.g., coastal artificialisation, unbalanced N/P ratios) might have contributed to the ongoing change in macroalgal diversity, the observed decline of cold-affinity species in favour of warm-affinity species pointed out a critical role of exacerbating climatic changes. Our study demonstrated that historical reconstructions of species records coupled with effective indicators for the analysis of presence/absence data can help quantify long-term biodiversity changes and provide valuable insights into their possible causes.

Neutron tomography and image registration methods to study local physical deformations and attenuation variations in treated archaeological iron nail samples

This study presents a preliminary examination of the effects of environment changes post-excavation on heavily corroded archaeological Roman iron nails using neutron tomography and image registration techniques. Roman nails were exposed to either a high relative humidity environment, or fast thermal drying as primary experiments to show the power of this imaging technique to monitor and quantify the structural changes of corroded metal artifacts. This research employed a series of pre- and post-treatment tomography acquisitions (time-series) complemented by advanced image registration methods. Based on mutual information (MI) metrics, we performed rigid body and affine image registrations to meticulously account for sample repositioning challenges and variations in imaging parameters. Using non-affine local registration results, in a second step, we detected localized expansion and shrinkage in the samples attributable to imposed environmental changes. Specifically, we observed local shrinkage on the nail that was dried, mostly in their Transformed Medium (TM), the outer layer where corrosion products are cementing soil and sand particles. Conversely, the sample subjected to high relative humidity environment exhibited localized expansion, with varying degrees of change across different regions. This work highlights the efficacy of our registration techniques in accommodating manual removal or loss of extraneous material (loosely adhering soil and TM layers around the nails) post-initial tomography, successfully capturing local structural changes with high precision. Using differential analysis on the accurately registered samples we could also detect and volumetrically quantify the variation in moisture and detect changes in active corrosion sites (ACS) in the sample. These preliminary experiments allowed us to advance and optimize the application of a neutron tomography and image registration workflow for future, more advanced experiments such as humidity fluctuations, corrosion removal through micro-blasting, dechlorination and other stabilization treatments.

Modeling The Evolution of Community Structure by the Dynamic Network Analysis: Sustainability Transition in Kyoto Eco-School Districts, Japan

Sustainability transition increasingly relies on local institutional settings and community-based efforts where local agencies play pivotal roles. A significant gap lies in understanding the dynamic interplay among community-based organizations over time that shape evolving strategic collaborations in different stages to drive local institutional change. This study adopts a dynamic network approach to map the evolving community structure, identify key organizations, and detect collaboration patterns among local actors by the case study of Kyoto, Japan. Furthermore, it explores the influence of significant events and policies on the network evolution. The study uncovers three main findings. Firstly, a three-stage evolution of the local network is concluded that presents incremental change towards an expanding, decentralized community structure, forming collaborative governance. Secondly, five collaboration patterns and their dynamics are revealed, reflecting evolving strategic alliances that play different roles in leveraging resources throughout the process. Thirdly, the effects of policies and events on the network are well reflected and explained through matching the time series data. The Kyoto case uncovers hidden community dynamics that illuminate local pathways to sustainable practices, offering guidance for policymaking and practices that resonate more broadly with globally relevant contexts.

Allosteric modulation of the Lon protease via ssDNA binding and local charge changes.

The ATPase Associated with diverse cellular Activities (AAA+) family of proteases play crucial roles in cellular proteolysis and stress responses. Like other AAA+ proteases, the Lon protease is known to be allosterically regulated by nucleotide and substrate binding. Although it was originally classified as a DNA binding protein, the impact of DNA binding on Lon activity is unclear. In this study, we characterize the regulation of Lon by single-stranded DNA (ssDNA) binding and serendipitously identify general activation strategies for Lon. Upon binding to ssDNA, Lon's ATP hydrolysis rate increases due to improved nucleotide binding, leading to enhanced degradation of protein substrates, including physiologically important targets. We demonstrate that mutations in basic residues that are crucial for Lon's DNA binding not only reduce ssDNA binding but result in charge-specific consequences on Lon activity. Introducing negative charge at these sites induces activation akin to that induced by ssDNA binding, whereas neutralizing the charge reduces Lon's activity. Based on single molecule measurements, we find this change in activity correlated with changes in Lon oligomerization. Our study provides insights into the complex regulation of the Lon protease driven by electrostatic contributions from either DNA binding or mutations.

Structural insights into brassinosteroid export mediated by the Arabidopsis ABC transporter ABCB1

Brassinosteroids (BRs) are steroidal phytohormones indispensable for plant growth, development, and responses to environmental stresses. The export of bioactive BRs to the apoplast is essential for BR signalling initiation, which requires binding of BR molecule to the extracellular domains of the plasma membrane-localized receptor complex. We have previously shown that the Arabidopsis thaliana ATP-binding cassette (ABC) transporter, ABCB19, functions as a BR exporter, and together with its close homologue, ABCB1, positively regulate BR signalling. Here, we demonstrate that ABCB1 is another BR transporter. The ATP hydrolysis activity of ABCB1 was stimulated by bioactive BRs, and its transport activity was confirmed in proteoliposomes and protoplasts. Structures of ABCB1 in substrate-unbound (apo), brassinolide (BL)-bound, and ATP plus BL-bound states were determined. In the BL-bound structure, BL was bound to the hydrophobic cavity formed by the transmembrane domain, and triggered local conformational changes. Together, our data provide additional insights into the ABC transporter-mediated BR export.

Divergent responses of carbon fluxes to elevated temperature and precipitation: A meta-analysis in North Hemisphere grassland ecosystems

The manipulation experiments involving increased precipitation and elevated temperature have elucidated a series of responses to the carbon fluxes (gross ecosystem productivity (GEP), ecosystem respiration (ER), and net ecosystem productivity (NEP)) in grassland ecosystems. It is still unclear how the duration, magnitude or local climate conditions of these manipulation experiments can affect the response of GEP, ER, and NEP. Here, we conducted a meta-analysis using data from 50 published studies that manipulated precipitation or temperature, while measuring GEP, ER, and NEP in North Hemisphere grassland ecosystems. The results showed that increased precipitation significantly increased the GEP and ER of grassland ecosystems in the Northern Hemisphere, with an average increase of 9.8% and 12.5% respectively. In contrast to increased precipitation, warming did not have a significant effect on GEP and ER. Meantime, there was no significant response of the NEP to both elevated temperature and increased precipitation. Furthermore, we found that the responses of carbon fluxes in North Hemisphere grassland ecosystems were associated with the magnitude and duration of increased precipitation, as well as to local temperature and precipitation changes induced by increased precipitation and elevated temperature. GEP was positively correlated with the local temperature under warming and increased precipitation. These findings emphasize the divergent response of carbon fluxes to climate factors change such as temperature and precipitation in North Hemisphere grassland ecosystems, which helps us better protect grasslands and predict ecosystem functions in the future.

Greening‐Induced Biophysical Impacts Lead to Earlier Spring and Autumn Phenology in Temperate and Boreal Forests

AbstractTree phenology, the timing of periodic biological events in trees, is highly sensitive to climate change. Previous studies have indicated that forest greening can impact the local climate by modifying the seasonal surface energy budget. However, the understanding of tree phenological responses to forest greening at large spatial scales remains limited. Utilizing satellite‐derived phenological and leaf area index data spanning from 2001 to 2021, herein we show that forest greening led to earlier spring and autumn phenology in both temperate and boreal forests. Our findings demonstrated that forest greening during winter and spring contributed to a reduction in surface albedo, resulting in biophysical warming and consequently advancing spring leaf phenology. Conversely, forest greening in summer and autumn induced biophysical cooling through increased evapotranspiration, leading to an earlier onset of autumn leaf phenology. Our findings highlight the significant impact of forest greening‐induced local seasonal climate changes on shaping tree phenology in temperate and boreal forests. It is crucial to consider these greening‐induced alterations in microclimate conditions when modeling changes in tree phenology under future climate warming scenarios.

Nonlinear vibration characteristics and damage detection method of blade with breathing fatigue crack

In aero-engine, blades operate under harsh conditions for extended periods, which makes them highly susceptible to fatigue cracks. The localized and nonlinear structural changes caused by blade crack lead to complex vibration characteristics that are not well understood, posing challenges to the identification of these cracks. This paper proposes an approach for identifying breathing fatigue crack in compressor blade, leveraging the nonlinear features induced by the cracks. Crucial sensitive characteristics are extracted and a crack indicator for accurate crack detection is defined. Initially addressing the typical morphology of fatigue breathing cracks, a dynamic model of blade with cracks is developed to analyze their impact on the natural frequencies. Nonlinear contact forces are introduced to characterize the "breathing" effect of the fatigue crack, allowing for the determination of the harmonic distribution patterns in the blade's vibration response under various excitation conditions. A finite element model is then established considering the crack morphology, by adopting the contact element. Based on that, the nonlinear response characteristics associated with the blade's primary, sub-harmonic, and super-harmonic resonances are explored. A crack-sensitive parameter is defined and extracted from the nonlinear responses, under different crack propagation stages. At last, effectiveness and reliability of the defined parameter for identifying cracks is validated through a vibration fatigue test.

Crystal structure of the alternative complex III from the phototrophic bacterium Chloroflexus aurantiacus.

Alternative complex III (ACIII) is a multi-subunit quinol:electron acceptor oxidoreductase that couples quinol oxidation with transmembrane proton translocation in bacterial respiratory and photosynthetic electron transport chains. Four ACIII cryoelectron microscopy (cryo-EM) structures are known. However, the effects of cryo-EM versus X-ray crystallography structure determination on ACIII structure are unclear. Here, we report a 3.25Å crystal structure of photosynthetic ACIII from Chloroflexus aurantiacus (CaACIIIp), revealing eight subunits (ActA-G and I) with four iron-sulfur clusters and six c-type hemes, a menaquinol-binding site, and two proton translocation passages. Structural comparisons with the previously reported cryo-EM structures reveal slight local conformational changes in the solvent-exposed regions of ActB, ActD, ActG, and the transmembrane (TM) helix of subunit I. The regions conferring structural flexibility possess low sequence conservation across species. However, the core functional modules containing the menaquinol-binding pocket, redox centers, and proton translocation passages remain unchanged, preserving the enzyme's activity.

Application and simulation of IEC water chillers for summer free cooling in data centers

Free cooling is regarded as the most effective way to reduce the energy consumption of the cooling system in data centers. This study proposes a novel water-medium indirect evaporative cooling (IEC) chiller used in a data center to achieve free cooling throughout the year as an alternative to electrical chillers. Field tests and numerical modeling of the IEC water chillers are both reported to evaluate the performance and efficiency. This paper first-time reports on the application of IEC water chillers to deliver year-round free cooling for a data center in Changji, China. The wet-bulb efficiency of the tested chiller is measured as 120% to 152.8% and the dew-point efficiency is 27% to 62.7%. A numerical model is established to verify the operating conditions, and some common operational optimizations are pointed out in this test for energy savings. PUE can be reduced to 1.212 after the optimization. More future performance predictions of the IEC water chillers are studied when the data center load rate increases and when the local weather changes in a year to discuss the year-round availability. For further study, the performance of IEC water chillers in different climate regions is also forecasted. The results indicate that it’s an effective way for IEC to achieve free cooling in regions where natural cold resources are abundant. In this study, the field test performance and prediction of IEC water chillers are provided as a typical and practical application as the natural cooling source in data centers in hot and dry areas.

Generalized Social Marginal Welfare Weights Imply Inconsistent Comparisons of Tax Policies

This paper concerns Saez and Stantcheva’s (2016) generalized social marginal welfare weights, which aggregate losses and gains due to tax policies while incorporating nonutilitarian ethical considerations. The approach evaluates local tax changes without a global social objective. I show that local tax policy comparisons implicitly entail global comparisons. Moreover, whenever welfare weights do not have a utilitarian structure, these implied global comparisons are inconsistent. I argue that broader ethical values cannot in general be represented simply by modifying the weights placed on benefits to different people, and a more thoroughgoing modification of the utilitarian approach is required. (JEL D60, D63, D71, H21, H23, I31)

Effects of Growth Hormone on Osteoarthritis Development.

Osteoarthritis (OA), a chronic joint disease characterized by primary or secondary degeneration of articular cartilage and bone dysplasia, is associated with various risk factors and is the leading cause of musculoskeletal pain and disability, severely impacting the quality of life. Growth hormone (GH), secreted by the anterior pituitary gland, is essential in mediating the growth and development of bone and cartilage. Reportedly, osteoarthritis increases, and the growth hormone decreases with age. A negative correlation between GH and OA suggests that GH may be related to the occurrence and development of OA. Considering that abnormal growth hormone levels can lead to many diseases related to bone growth, we focus on the relationship between GH and OA. In this review, we will explain the effects of GH on the growth and deficiency of bone and cartilage based on the local pathological changes of osteoarthritis. In addition, the potential feasibility of treating OA with GH will be further explored and summarized.