bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing Current Coastal Subsidence at Continental Scale: Insights From Europe Using the European Ground Motion Service
Authors: Thiéblemont Rémi , Le Cozannet Gonéri , Nicholls Robert J. , Rohmer Jérémy , Wöppelmann Guy , Raucoules Daniel , de Michele Marcello , Toimil Alexandra , Lincke Daniel 
Published: August 2024

AbstractBeside climate‐change‐induced sea‐level rise (SLR), land subsidence can strongly amplify coastal risk in flood‐prone areas. Mapping and quantifying contemporary vertical land motion (VLM) at continental scales has long been a challenge due to the absence of gridded observational products covering these large domains. Here, we fill this gap by using the new European Ground Motion Service (EGMS) to assess the current state of coastal VLM in Europe. First, we compare the InSAR‐based EGMS Ortho (Level 3) with nearby global navigation satellite systems (GNSS) vertical velocity estimates and show that the geodetic reference frame used to calibrate EGMS strongly influences coastal vertical land velocity estimates at the millimeter per year level and this needs to be considered with caution. After adjusting the EGMS vertical velocity estimates to a more updated and accurate International Terrestrial Reference Frame (ITRF2014), we performed an assessment of VLM in European low elevation coastal flood plains (CFPs). We find that nearly half of the European CFP area is, on average, subsiding at a rate faster than 1 mm/yr. More importantly, we find that urban areas and populations located in the CFP experience a near −1 mm/yr VLM on average (excluding the uplifting Fennoscandia region). For harbors, the average VLM is even larger and increases to −1.5 mm/yr on average. This demonstrates the widespread importance of continental‐scale assessments based on InSAR and GNSS to better identify areas at higher risk from relative SLR due to coastal subsidence.
Large Divergence of Projected High Latitude Vegetation Composition and Productivity Due To Functional Trait Uncertainty
Authors: Liu Yanlan , Holm Jennifer A. , Koven Charles D. , Salmon Verity G. , Rogers Alistair , Torn Margaret S. 
Published: August 2024

AbstractVegetation distribution and composition are expected to change in northern high latitudes under rapid warming, which regulates ecosystem functions but remains challenging to predict. Vegetation change arises from the interplay of chronic climate trends such as warming and transient demographic processes of recruitment, growth, competition, and mortality. Most predictive models overlooked the role of demographic dynamics controlled by plant traits. Here, we simulate vegetation dynamics at the Kougarok Hillslope site in Alaska under historical and future climates using the E3SM Land Model coupled to the Functionally Assembled Terrestrial Simulator (ELM‐FATES). To evaluate the roles of plant traits, we parameterize the model with 5,265 trait configurations representing diverse physiological and demographic strategies. Results show current modeled biomass, composition, and productivity are most sensitive to traits controlling photosynthetic capacity, carbon allocation, allometry, and phenology. Among all trait configurations, ∼5% reproduce in situ biomass and plant functional type (PFT) composition measured in 2016, that are indistinguishable from these two observed ecosystem states. Notably, these same trait configurations produce diverging biomass, composition, and productivity under future climate, where the uncertainty attributable to traits is twice the change attributable to climate change. The variation of projected productivity arises from emerging PFT composition under novel climate regimes, primarily explained by traits controlling cold‐induced mortality, recruitment, and allometry. Our findings highlight the importance and uncertainty of demographic dynamics and its interaction with climate change in shaping Arctic vegetation change. Improved model predictions will likely benefit from explicit consideration of vegetation demography and better constraints of critical traits.
Strong Field‐Aligned Current and Its Driven Energy Conversion at Anti‐Dipolarization Front
Authors: Du C. X. , Wang Z. , Fu H. S. , Fu W. D. , Cao J. B. , Grigorenko E. , Yu Y. 
Published: August 2024

AbstractAnti‐dipolarization fronts (ADFs), characterized by the rapid increase of the negative magnetic field Bz component, are typically formed at the leading edge of the tailward reconnection jets in the Earth's magnetotail. To date, the electron‐scale current structures, which govern the energy conversion at ADFs, are still barely understood due to the lack of high‐resolution measurements. Here, using Magnetospheric Multiscale mission, we for the first time report a tailward ADF associated with strong field‐aligned current (FAC). The FAC appears at the leading part of the ADF and its densities can reach about 200 nA/m2, which is significantly larger than those reported before. Such current is primarily contributed by the electron flow, which also forms electron beam distribution in the anti‐parallel direction. Significant energy conversion (E⋅ J, E is electric field and J is current density) is also observed at the ADF, which is mainly contributed by the FAC and the fluctuating electric fields. This study makes essential steps toward understanding the current system and the energy conversion at the ADF in the Earth's magnetotail.
Stripe‐Like Echoes Scattered From Nighttime F‐Region Field‐Aligned Irregularities at Low‐Latitudes
Authors: Jia Yuanlin , Chen Gang , Yan Chunxiao , Xu Jiyao , Zhang Shaodong , Gong Wanlin , Li Yaxian , Hu Pengfei 
Published: August 2024

AbstractThe unusual stripe‐like scattered echoes were observed by the Hainan Coherent Scatter Phased Array Radar (HCOPAR) in the nigh of 9 Sep. 2017. There were parallel stripes with the interval of ∼33 min appearing from 12:57 to 17:50 UT. While the emergence of the scattered echoes, the Hainan Digisonde has observed the Spread‐F, and the Total Electron Content (TEC) maps recorded by the Global Navigation Satellite System (GNSS) in China show that there was no Equatorial Plasma Bubble (EPB), but the Medium‐Scale Traveling Ionospheric Disturbance (MSTID) traveled southwestward. The spatial and temporal distributions of the stripe‐like echoes and the MSTID show great consistency, indicating that the F‐region Field‐Aligned Irregularities were generated in the wave peaks and troughs of the MSTID. The MSTID has decayed greatly while reaching the HCOPAR, and the echo pattern is determined by the wave features of the MSTID.
Influences of Stratospheric Arctic Vortex on Surface Air Temperature Over Asia
Authors: Hu Dingzhu , Yang Junjie , Zhang Huimin , Mo Rongzhong , Guan Zhaoyong 
Published: August 2024

AbstractThe influence of northern polar vortex in the stratosphere (SPV) in December‐January on Asia's surface air temperature (SAT) in February has been examined using reanalysis data sets and a barotropic model. An out‐of‐phase interannual linkage between the SPV in December‐January and SAT in February during 1979–2022 has been observed, that is, a strong (weak) SPV corresponds to a cooling (warming) over Asia. Approximately 25% of the SAT over Asia in February can be explained by the SPV in December‐January. This relationship between the SPV and SAT is independent of the Arctic Oscillation. The influence of the SPV on SAT over Asia cannot be solely explained by radiative processes, but is instead related to circulation anomalies in the troposphere. A stronger SPV tends to result in negative geopotential height anomalies with cyclonic circulation over Asia. The SPV‐related geopotential height over Asia is accompanied by a weakened teleconnection pattern between the North Atlantic and Asia, with three centers from the northeastern Atlantic‐eastern Europe‐Asia, and fewer stationary waves propagated from North Atlantic into Asia. These anomalous circulation patterns and anomalous northerly wind over Central Asia in February are beneficial to the colder air transportation from the higher latitudes to Asia, facilitating a surface cooling over Asia. Our results shed light on the interannual linkage between SPV and SAT over Asia, suggesting that the SPV in December‐January could be considered as a new predicator of SAT in February over Asia.
Impact of Peat Extraction on Downstream Concentrations and Attenuation of Dissolved Organic Carbon and Nutrients
Authors: Frei Rebecca J. , Shewan Renae , Cao Ming , Abbott Benjamin W. , Olefeldt David 
Published: August 2024

AbstractHorticultural peat extraction can mobilize dissolved organic matter (DOM) and inorganic nutrients (nitrogen and phosphorous) to surface waters, harming aquatic ecosystems and water quality. However, it is uncertain how peat extraction affects solute concentration across hydrological and seasonal conditions and how biogeochemical processing in downstream drainage networks responds. Over two years, we used repeated, spatially extensive sampling in stream networks of two mixed land‐use catchments (<200 km2) on the subhumid interior plains of western Canada. We used random forest models to disentangle the effects of land cover, hydrology, and temperature on water chemistry. Peatlands were the dominant source of DOM to streams, but we detected no substantial effect of peat extraction on DOM concentration or composition. Stream discharge was the most important predictor of DOM composition, with generally humic‐like DOM becoming fresher during snowmelt and summer base flow. We detected no effect from peat extraction on soluble reactive phosphorous (SRP) or nitrate (NO3−). However, total ammonia nitrogen (TAN) was an order of magnitude higher in subcatchments with >40% extracted peatland cover (median: 1.5 mg TAN L−1) compared to catchments with similar intact peatland cover. Mass balance analysis suggested that DOM and inorganic nutrients synchronously attenuated during low flows. During high flows, DOM and inorganic nitrogen were conservatively transported, while SRP was attenuated, likely sorbing to suspended particles. Our study suggests that excess TAN mobilized by peat extraction is utilized in headwaters during low flow but propagates downstream during high flow, with implications for eutrophication that land managers should consider.
Learnable digital signal processing: a new benchmark of linearity compensation for optical fiber communications
Authors: Niu Zekun , Yang Hang , Li Lyu , Shi Minghui , Xu Guozhi , Hu Weisheng , Yi Lilin 
Published: August 2024

AbstractThe surge in interest regarding the next generation of optical fiber transmission has stimulated the development of digital signal processing (DSP) schemes that are highly cost-effective with both high performance and low complexity. As benchmarks for nonlinear compensation methods, however, traditional DSP designed with block-by-block modules for linear compensations, could exhibit residual linear effects after compensation, limiting the nonlinear compensation performance. Here we propose a high-efficient design thought for DSP based on the learnable perspectivity, called learnable DSP (LDSP). LDSP reuses the traditional DSP modules, regarding the whole DSP as a deep learning framework and optimizing the DSP parameters adaptively based on backpropagation algorithm from a global scale. This method not only establishes new standards in linear DSP performance but also serves as a critical benchmark for nonlinear DSP designs. In comparison to traditional DSP with hyperparameter optimization, a notable enhancement of approximately 1.21 dB in the Q factor for 400 Gb/s signal after 1600 km fiber transmission is experimentally demonstrated by combining LDSP and perturbation-based nonlinear compensation algorithm. Benefiting from the learnable model, LDSP can learn the best configuration adaptively with low complexity, reducing dependence on initial parameters. The proposed approach implements a symbol-rate DSP with a small bit error rate (BER) cost in exchange for a 48% complexity reduction compared to the conventional 2 samples/symbol processing. We believe that LDSP represents a new and highly efficient paradigm for DSP design, which is poised to attract considerable attention across various domains of optical communications.
The role of body image dissatisfaction in the relationship between body size and disordered eating and self-harm: complimentary Mendelian randomization and mediation analyses
Authors: Power Grace M. , Warne Naomi , Bould Helen , Casanova Francesco , Jones Samuel E. , Richardson Tom G. , Tyrrell Jessica , Davey Smith George , Heron Jon 
Published: August 2024

Abstract
Disordered eating and self-harm commonly co-occur in young people suggesting potential for shared underlying causes. Body image dissatisfaction (BID) has been recognised as a psychological correlate of body size, associated with both disordered eating and self-harm. However, the investigation into etiological pathways early in the lifecourse to provide detail on how body size and BID may foster disordered eating and self-harm remains largely unexplored. Employing data from two large population-based cohorts, the UK Biobank and the Avon Longitudinal Study of Parents And Children (ALSPAC), we conducted bidirectional Mendelian randomization (MR) to determine the causal direction of effect between genetically predicted prepubertal body size and two measures of BID indicating (i) desire to be smaller, and (ii) desire to be larger. We then used multivariable regression followed by counterfactual mediation analyses. Bidirectional MR indicated robust evidence that increased genetically predicted prepubertal body size increased desire to be smaller and decreased desire to be larger. Evidence for the reverse causal direction was negligible. These findings remained very similar across sensitivity analyses. In females and males, multivariable regression analyses demonstrated that being overweight increased the risk of disordered eating (risk ratio (RR), 95% confidence interval (CI): 1.19, 1.01 to 1.40 and 1.98, 1.28 to 3.05, respectively) and self-harm (RR, 95% CI: 1.35, 1.04 to 1.77 and 1.55, 0.86 to 2.81, respectively), while being underweight was protective against disordered eating (RR, 95% CI: 0.57, 0.40 to 0.81 and 0.81, 0.38 to 1.73, respectively). There was weak evidence of an increase in the risk of self-harm among underweight individuals. Mediation analyses indicated that the relationship between being overweight and subsequent disordered eating was largely mediated by the desire to be smaller. Our research carries important public health implications, suggesting distinct risk profiles for self-harm and disordered eating in relation to weight and body image. In addition, a better understanding of genetically predicted prepubertal BID may be valuable in the prevention and treatment of disordered eating and self-harm in adolescence.
Influence of comorbidities on outcome in 1102 patients with an allogeneic hematopoietic stem cell transplantation
Authors: Janscak Marie , Stelmes Anne , van den Berg Jana , Heim Dominik , Halter Joerg , Drexler Beatrice , Arranto Christian , Passweg Jakob , Medinger Michael 
Published: August 2024

AbstractThe hematopoietic comorbidity risk index (HCT-CI) is a pre-transplant risk assessment tool used to qualify comorbidities to predict non-relapse mortality (NRM) of patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT). HSCT procedures continue to improve. Therefore, the predictive value of HCT-CI needs to be re-evaluated. Our study is a retrospective analysis of pre-existing comorbidities assessing the relevance of the HCT-CI on the outcome of consecutive patients (n = 1102) undergoing allo-HSCT from 2006-2021. HCT-CI was classified as low (HCT-CI 0), intermediate (HCT-CI 1–2) and high-risk (HCT-CI ≥ 3). At 10 years, NRM for low, intermediate, and high-risk HCT-CI group was 21.0%, 26.0%, and 25.8% (p = 0.04). NRM difference was significant between low to intermediate (p < 0.001), but not between intermediate to high-risk HCT-CI (p = 0.22). Overall survival (OS) at 10 years differed significantly with 49.9%, 39.8%, and 31.1%, respectively (p < 0.001). In multivariate analysis of HCT-CI organ subgroups, cardiac disease was most strongly associated with NRM (HR = 1.73, p = 0.02) and OS (HR = 1.77, p < 0.001). All other individual organ comorbidities influenced NRM to a lesser extent. Further, donor (HR = 2.20, p < 0.001 for unrelated and HR = 2.17, p = 0.004 for mismatched related donor), disease status (HR = 1.41, p = 0.03 for advanced disease) and previous HSCT (HR = 1.55, p = 0.009) were associated with NRM. Improvement in transplant techniques and supportive care may have improved outcome with respect to comorbidities.
Proton-triggered rearrangement of the AMPA receptor N-terminal domains impacts receptor kinetics and synaptic localization
Authors: Ivica Josip , Kejzar Nejc , Ho Hinze , Stockwell Imogen , Kuchtiak Viktor , Scrutton Alexander M. , Nakagawa Terunaga , Greger Ingo H. 
Published: August 2024

AbstractAMPA glutamate receptors (AMPARs) are ion channel tetramers that mediate the majority of fast excitatory synaptic transmission. They are composed of four subunits (GluA1–GluA4); the GluA2 subunit dominates AMPAR function throughout the forebrain. Its extracellular N-terminal domain (NTD) determines receptor localization at the synapse, ensuring reliable synaptic transmission and plasticity. This synaptic anchoring function requires a compact NTD tier, stabilized by a GluA2-specific NTD interface. Here we show that low pH conditions, which accompany synaptic activity, rupture this interface. All-atom molecular dynamics simulations reveal that protonation of an interfacial histidine residue (H208) centrally contributes to NTD rearrangement. Moreover, in stark contrast to their canonical compact arrangement at neutral pH, GluA2 cryo-electron microscopy structures exhibit a wide spectrum of NTD conformations under acidic conditions. We show that the consequences of this pH-dependent conformational control are twofold: rupture of the NTD tier slows recovery from desensitized states and increases receptor mobility at mouse hippocampal synapses. Therefore, a proton-triggered NTD switch will shape both AMPAR location and kinetics, thereby impacting synaptic signal transmission.
Goggle-free swimming as autonomous water competence from the perspective of breath control on execution of a given distance
Authors: Rejman Marek , Rudnik Daria , Stallman Robert Keig 
Published: August 2024

AbstractThis study aimed to examine the ability of adolescents to maintain breathing rhythm while swimming with and without goggles, in the context of pedagogical interventions for implementation of water competence skills, rather than simply teaching swimming technique (strokes). 25 females and 25 males, 12–13 years old, swam the front crawl both with goggles and without goggles. Distance covered and the ability to maintain breathing rhythm were evaluated by experts. For both girls and boys, the lack of goggles reduced the breath control. The boys in contrast to the girls, could "swim" (cover a distance) but did not have the “competence” to swim effectively/safely—with breathing rhythm—regardless of the goggle factor. Goggle-free swimming as an autonomous component of water competence is highly recommended in elementary swimming education. The following elements for pedagogical intervention in the area of water competence development are proposed: (1) the formatting of breath control on the basis of the student's preferred, simplest form of swimming (not strokes); (2) the a priori treatment of swimming goggles as an unnecessary teaching aid; (3) the gender differences in area of both adaptation in visual perception (the goggles factor) and motor control (breath control factor) should be considered.
CD3-engaging bispecific antibodies trigger a paracrine regulated wave of T-cell recruitment for effective tumor killing
Authors: Liao Chen-Yi , Engelberts Patrick , Ioan-Facsinay Andreea , Klip Janna Eleonora , Schmidt Thomas , Ruijtenbeek Rob , Danen Erik H. J. 
Published: August 2024

AbstractThe mechanism of action of bispecific antibodies (bsAbs) directing T-cell immunity to solid tumors is incompletely understood. Here, we screened a series of CD3xHER2 bsAbs using extracellular matrix (ECM) embedded breast cancer tumoroid arrays exposed to healthy donor-derived T-cells. An initial phase of random T-cell movement throughout the ECM (day 1–2), was followed by a bsAb-dependent phase of active T-cell recruitment to tumoroids (day 2–4), and tumoroid killing (day 4–6). Low affinity HER2 or CD3 arms were compensated for by increasing bsAb concentrations. Instead, a bsAb binding a membrane proximal HER2 epitope supported tumor killing whereas a bsAb binding a membrane distal epitope did not, despite similar affinities and intra-tumoroid localization of the bsAbs, and efficacy in 2D co-cultures. Initial T-cell-tumor contact through effective bsAbs triggered a wave of subsequent T-cell recruitment. This critical surge of T-cell recruitment was explained by paracrine signaling and preceded a full-scale T-cell tumor attack.
International Sponsored Places: 48th FEBS Congress and 23rd YSF 2024
Authors: Ollett Lucy 
Published: August 2024

Each year, the Biochemical Society fully sponsors the attendance of two outstanding postgraduate or early-career members to attend the FEBS Congress and Young Scientists’ Forum (YSF). With a theme of ‘Mining biochemistry for human health and well-being’, the 48th FEBS Congress and 23rd YSF combined research presentations, education-oriented sessions and biochemistry-related economic discussions to showcase the newest developments in health, human well-being and biotechnology. Providing an incredible opportunity to make connections with European colleagues and discuss research with an international audience, we were delighted to offer International Sponsored Places to Emma Ryder (University of Leeds, UK) and Anna Carberry (University of St Andrews, UK) in 2024.
Here, Emma and Anna discuss their experiences at this year’s meetings and highlight the valuable networking and interactions developed as a result of their participation.