bluuebunny/crossref_metadata_2025_split huggingface dataset:
Snapshot of the Atlantic Forest canopy: surveying arboreal mammals in a biodiversity hotspot
Authors: Kaizer Mariane C. , Alvim Thiago H.G. , Novaes Claudio L. , McDevitt Allan D. , Young Robert J. 
Published: October 2022

AbstractThe Atlantic Forest of South America supports a rich terrestrial biodiversity but has been reduced to only a small extent of its original forest cover. It hosts a large number of endemic mammalian species but our knowledge of arboreal mammal ecology and conservation has been limited because of the challenges of observing arboreal species from ground level. Camera trapping has proven to be an effective tool in terrestrial mammal monitoring but the technique has rarely been used for arboreal species. For the first time in the Atlantic Forest, we obtained data on the arboreal mammal community using arboreal camera trapping, focusing on Caparaó National Park, Brazil. We placed 24 infrared camera traps in the forest canopy in seven areas within the Park, operating them continuously during January 2017–June 2019. During this period the camera traps accumulated 4,736 camera-days of footage and generated a total of 2,256 photographs and 30-s videos of vertebrates. The arboreal camera traps were able to detect arboreal mammals of a range of body sizes. The mammal assemblage comprised 15 identifiable species, including the Critically Endangered northern muriquiBrachyteles hypoxanthusand buffy-headed marmosetCallithrix flavicepsas well as other rare, nocturnal and inconspicuous species. We confirmed for the first time the occurrence of the thin-spined porcupineChaetomys subspinosusin the Park. Species richness varied across survey areas and forest types. Our findings demonstrate the potential of arboreal camera trapping to inform conservation strategies.
Product redesign considering the sensitivity of customer satisfaction
Authors: Sha Kaixin , Li Yupeng , Zhao Zhihua , Zhang Na 
Published: October 2022

Abstract
Redesign is a widespread strategy for product improvement whose essence is the optimization of design parameters (DPs) considering the trade-off between customer satisfaction and cost concerns. Similar to the relation between customer requirements (CRs) and customer satisfaction, the sensitivity of customer satisfaction is diverse to different DPs. In this study, a sensitivity-enhanced customer satisfaction function is defined for redesign model construction. This fills the research gap in product redesign that lacking of consideration and quantification of customer satisfaction sensitivity. First, a sensitivity index is defined based on Kano indices for analyzing sensitivity of customer satisfaction in different DP categories. Second, traditional customer satisfaction function has been improved by injecting the sensitivity of customer satisfaction to the variations of DPs. Subsequently, a DP optimization model is established to maximize shared surplus between customers and enterprise. Finally, a case study involving the redesign of a braking system of automobile is implemented to demonstrate the effectiveness and rationality of the proposed approach. The results show that the improved customer satisfaction function can reflect a more nuanced relationship between customer satisfaction and fulfilment level of DPs. Additionally, the proposed redesign model helps designers determine the target values of DPs under a better trade-off and enhances enterprise competitiveness.
Three Forms of Actualist Direct Consequentialism
Authors: Nair Shyam 
Published: October 2022

AbstractOne family of maximizing act consequentialist theories is actualist direct theories. Indeed, historically there are at least three different forms of actualist direct consequentialism (due to Bentham, Moore, and contemporary consequentialists). This article is about the logical differences between these three actualist direct theories and the differences between actualist direct theories and their competitors. Three main points emerge. First, the sharpest separation between actualist direct theories and their competitors concerns the so-called ‘inheritance’ principle. Second, there are a myriad of other logical differences among actualist direct theories. Third, one theory (Moore's theory) stands out among actualist direct theories because it entails a variety of logical principles. This fact may count in favor of that theory.
A Hermite spline approach for modelling population mortality
Authors: Tang Sixian , Li Jackie , Tickle Leonie 
Published: October 2022

AbstractOne complication in mortality modelling is capturing the impact of risk factors that contribute to mortality differentials between different populations. Evidence has suggested that mortality differentials tend to diminish over age. Classical methods such as the Gompertz law attempt to capture mortality patterns over age using intercept and slope parameters, possibly causing an unjustified mortality crossover at advanced ages when applied independently to different populations. In recent research, Richards (Scandinavian Actuarial Journal2020(2), 110–127) proposed a Hermite spline (HS) model that describes the age pattern of mortality differentials using one parameter and circumvents an unreasonable crossover by default. The original HS model was applied to pension data at individual level in the age dimension only. This paper extends the method to model population mortality in both age and period dimensions. Our results indicate that in addition to possessing desirable fitting properties, the HS approach can produce accurate mortality forecasts, compared with the Gompertz and P-splines models.
Prevalence and prevention of suicidal ideation among asylum seekers in a high-risk urban post-displacement setting
Authors: Aizik-Reebs A. , Yuval K. , Beyene Kesete Y. , Lurie I. , Bernstein A. 
Published: October 2022

AbstractAimsAmong asylum seekers in a high-risk unstable post-displacement context, we aimed to investigate the prevalence of and risk for suicidal ideation (study 1), and then to test whether and how Mindfulness-Based Trauma Recovery for Refugees (MBTR-R) may prevent or treat suicidal ideation (study 2).MethodsStudy 1 was conducted among a community sample ofN= 355 (31.8% female) East African asylum seekers in a high-risk urban post-displacement setting in the Middle East (Israel). Study 2 was a secondary analysis of a randomised waitlist-control trial of MBTR-R among 158 asylum-seekers (46.2% female) from the same community and post-displacement setting.ResultsPrevalence of suicidal ideation was elevated (31%). Post-migration living difficulties, as well as posttraumatic stress, depression, anxiety and their multi-morbidity were strongly associated with suicidal ideation severity. Likewise, depression and multi-morbidity prospectively predicted the onset of suicidal ideation. Relative to its incidence among waitlist-control (23.1%), MBTR-R prevented the onset of suicidal ideation at post-intervention assessment (15.6%) and 5-week follow-up (9.8%). Preventive effects of MBTR-R on suicidal ideation were mediated by reduced posttraumatic stress, depression, anxiety and their multi-morbidity. MBTR-R did not therapeutically reduce current suicidal ideation present at the beginning of the intervention.ConclusionsFindings warn of a public health crisis of suicidality among forcibly displaced people in high-risk post-displacement settings. Although preliminary, novel randomised waitlist-control evidence for preventive effects of MBTR-R for suicidal ideation is promising. Together, findings indicate the need for scientific, applied and policy attention to mental health post-displacement in order to prevent suicide among forcibly displaced people.
Counting the carnivores: Who ate meat in Republican-Era China?
Authors: DuBois Thomas David 
Published: October 2022

AbstractIt is commonly asserted that Chinese diets before the market and production reforms of the 1980s contained little or no meat. Yet this nearly universal assumption remains untested: Unlike other forms of material consumption, the question of meat in Chinese diets has received almost no systematic attention from historians. Focusing on the early twentieth century, this article examines who in China ate meat, and how meat consumption was shaped by regional and household patterns. It combines insights from three sorts of data. First, Japanese price surveys from the 1920s show a high degree of variation in the preference for one type of meat over others, and the price availability of meat versus wages or other food products. Second, production data, including slaughterhouse tallies and industry estimates of animal by-products show the seasonality of animal slaughter and the vast scale and dispersed geography of China’s livestock production. Finally, nutrition and diet studies from the 1920 to the late 1940s examine actual household consumption, emphasizing how social forces and cyclical fortunes shaped individual choices. The composite picture from these three perspectives confirms that China’s meat consumption was hardly inconsequential. But more than simply triangulating a result, the exercise of comparing perspectives of price, production, and nutrition also highlights the collection of survey data as a series of historical moments.
A Coupled River Basin‐Urban Hydrological Model (DRIVE‐Urban) for Real‐Time Urban Flood Modeling
Authors: Chen Weitian , Wu Huan , Kimball John S. , Alfieri Lorenzo , Nanding Nergui , Li Xiaomeng , Jiang Lulu , Wu Wei , Tao Yingchun , Zhao Shihu , Zhong Wenting 
Published: October 2022

AbstractReliable urban flood modeling is highly demanded in emergency response, risk management, and urban planning related to urban flooding. In this paper, the Storm Water Management Model (SWMM) is adapted to simulate urban rainfall‐runoff and pipe drainage processes within the Dominant river tracing‐Routing Integrated with VIC Environment (DRIVE) model which accounts for natural river basin runoff generation and routing processes. The integrated DRIVE‐SWMM model (referred to as DRIVE‐Urban) allows to explicitly delineate the mass‐energy interactions between urban drainage system (e.g., pipes and dikes) and river networks. This presents a further step model development for accurate urban flooding prediction which is lacking in existing urban flood models and traditional hydrological models. The validity of the DRIVE‐Urban model is evaluated for three case studies in Haikou City, China, with camera observations of street inundation during typhoon landfalls and heavy rainfall events. The results show that the DRIVE‐Urban model successfully captures 62%, 69%, and 77% of the total observed inundated road‐sections for the three cases respectively. The third case study with severe flooding situation shows that the DRIVE‐Urban performance is further improved when given reliable river and tidal level information, indicating the importance of integrating river‐basin with urban hydrological and hydraulic modeling.
Quasi‐Optical Ray Tracing of Gaussian Beams in the Magnetosphere
Authors: Ling A. G. , Starks M. J. , Albert J. M. 
Published: October 2022

AbstractA method for tracing rays in tokamak plasmas is applied to tracing rays in the Earth's magnetosphere. The problem of computing power flux from pencil rays using classical geometric optics that occurs when constituent rays exhibit coplanarity is addressed by appealing to complex geometric optics. The construction of Gaussian beams is discussed and the quasi‐optical method of tracing such beams is given. Examples of tracing Gaussian beams from a ground transmitter, a partial beam, and from a satellite location are presented. A median method for dealing with nonviable contributions to the power flux from sections of the beam encountering caustics or otherwise experiencing coplanarity is described. The effect of beam parameter choices on the resulting power flux computation is provided for each of the examples.
Forecasting the Geomagnetic Activity Several Days in Advance Using Neural Networks Driven by Solar EUV Imaging
Authors: Bernoux Guillerme , Brunet Antoine , Buchlin Éric , Janvier Miho , Sicard Angélica 
Published: October 2022

AbstractMany models of the near‐Earth's space environment (radiation belts, ionosphere, upper atmosphere, etc.) are driven by geomagnetic indices, representing the state of disturbance of the Earth's magnetosphere. Over the past decade, machine learning‐based methods for forecasting geomagnetic indices from near‐Earth solar wind parameters have become popular in the space weather community. These methods often prove to be very accurate and skilled. However, these approaches have the notable drawback of being effective in an operational context only for limited forecasting horizons (often up to a couple of hours ahead at best). In order to increase this prediction horizon, we introduce SERENADE, a novel deep learning‐based proof‐of‐concept model using images delivered by the Atmospheric Imaging Assembly instrument onboard the Solar Dynamics Observatory spacecraft to directly provide probabilistic forecasts of the daily maximum of the geomagnetic index Kp up to a few days ahead. We show in particular that SERENADE is able to capture information on the geomagnetic dynamics from solar imaging alone. In addition, despite it being a prototypical model, our model is more accurate in most situations than three empirical baseline models. However, the model still shows some strong limitations inherent to its structure and the used data set, which could be the focus of future works. This opens the way to a better mid‐to‐long term data‐driven magnetospheric modeling within space weather and geophysical pipelines.
Systematic review of the method and quality of reporting of complications from studies evaluating innovative glaucoma surgical procedures
Authors: Bonnar Jonathan , Azuara-Blanco Augusto 
Published: October 2022

AbstractThe objective of this systematic review is to identify how reporting of micro-invasive glaucoma surgery (MIGS) procedure complications are reported in randomised controlled trials (RCTs) and the quality of this reporting compared to the CONSORT extension for harms. RCTs evaluating MIGS procedures were identified from a database of systematic reviews and from recent literature. Trials were evaluated in comparison to the CONSORT extension for harms to quantify the quality of harms reporting. Simple descriptive statistics were calculated for the CONSORT checklist. 21 trials were identified as eligible for inclusion, 14 were evaluating iStent, one Trabectome, three Hydrus, one Cypass, one Preseflo MicroShunt and one Excimer laser trabeculotomy. The average number of CONSORT for Harms checklist items fulfilled by the studies was 10 out of 16. No studies used a validated instrument to report severity of harms and only 4 had a list or definition of adverse events. An analysis of harm was conducted by 19 of 21 studies (90%). Appropriate metrics were used for reporting rates of adverse events in 19 of 21 studies but in only 4 studies was there an attempt to give these adverse events a grade of seriousness. In conclusion, most studies evaluating MIGS procedures do make an effort to acknowledge harms data, however this is not done uniformly well or in the same manner. A validated instrument to report severity and a standard list of complications for MIGS surgery would go a long way to helping this.
Comprehensive and clinically accurate head and neck cancer organs-at-risk delineation on a multi-institutional study
Authors: Ye Xianghua , Guo Dazhou , Ge Jia , Yan Senxiang , Xin Yi , Song Yuchen , Yan Yongheng , Huang Bing-shen , Hung Tsung-Min , Zhu Zhuotun , Peng Ling , Ren Yanping , Liu Rui , Zhang Gong , Mao Mengyuan , Chen Xiaohua , Lu Zhongjie , Li Wenxiang , Chen Yuzhen , Huang Lingyun , Xiao Jing , Harrison Adam P. , Lu Le , Lin Chien-Yu , Jin Dakai , Ho Tsung-Ying 
Published: October 2022

AbstractAccurate organ-at-risk (OAR) segmentation is critical to reduce radiotherapy complications. Consensus guidelines recommend delineating over 40 OARs in the head-and-neck (H&N). However, prohibitive labor costs cause most institutions to delineate a substantially smaller subset of OARs, neglecting the dose distributions of other OARs. Here, we present an automated and highly effective stratified OAR segmentation (SOARS) system using deep learning that precisely delineates a comprehensive set of 42 H&N OARs. We train SOARS using 176 patients from an internal institution and independently evaluate it on 1327 external patients across six different institutions. It consistently outperforms other state-of-the-art methods by at least 3–5% in Dice score for each institutional evaluation (up to 36% relative distance error reduction). Crucially, multi-user studies demonstrate that 98% of SOARS predictions need only minor or no revisions to achieve clinical acceptance (reducing workloads by 90%). Moreover, segmentation and dosimetric accuracy are within or smaller than the inter-user variation.
Vesicular release probability sets the strength of individual Schaffer collateral synapses
Authors: Dürst Céline D. , Wiegert J. Simon , Schulze Christian , Helassa Nordine , Török Katalin , Oertner Thomas G. 
Published: October 2022

AbstractInformation processing in the brain is controlled by quantal release of neurotransmitters, a tightly regulated process. From ultrastructural analysis, it is known that presynaptic boutons along single axons differ in the number of vesicles docked at the active zone. It is not clear whether the probability of these vesicles to get released (pves) is homogenous or also varies between individual boutons. Here, we optically measure evoked transmitter release at individual Schaffer collateral synapses at different calcium concentrations, using the genetically encoded glutamate sensor iGluSnFR. Fitting a binomial model to measured response amplitude distributions allowed us to extract the quantal parameters N, pves, and q. We find that Schaffer collateral boutons typically release single vesicles under low pves conditions and switch to multivesicular release in high calcium saline. The potency of individual boutons is highly correlated with their vesicular release probability while the number of releasable vesicles affects synaptic output only under high pves conditions.
Structure of a mitochondrial ribosome with fragmented rRNA in complex with membrane-targeting elements
Authors: Tobiasson Victor , Berzina Ieva , Amunts Alexey 
Published: October 2022

AbstractMitoribosomes of green algae display a great structural divergence from their tracheophyte relatives, with fragmentation of both rRNA and proteins as a defining feature. Here, we report a 2.9 Å resolution structure of the mitoribosome from the alga Polytomella magna harbouring a reduced rRNA split into 13 fragments. We found that the rRNA contains a non-canonical reduced form of the 5S, as well as a permutation of the LSU domain I. The mt-5S rRNA is stabilised by mL40 that is also found in mitoribosomes lacking the 5S, which suggests an evolutionary pathway. Through comparison to other ribosomes with fragmented rRNAs, we observe that the pattern is shared across large evolutionary distances, and between cellular compartments, indicating an evolutionary convergence and supporting the concept of a primordial fragmented ribosome. On the protein level, eleven peripherally associated HEAT-repeat proteins are involved in the binding of 3′ rRNA termini, and the structure features a prominent pseudo-trimer of one of them (mL116). Finally, in the exit tunnel, mL128 constricts the tunnel width of the vestibular area, and mL105, a homolog of a membrane targeting component mediates contacts with an inner membrane bound insertase. Together, the structural analysis provides insight into the evolution of the ribosomal machinery in mitochondria.
Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
Authors: Xiong Lei , Tian Kang , Li Yuzhe , Ning Weixi , Gao Xin , Zhang Qiangfeng Cliff 
Published: October 2022

AbstractComputational tools for integrative analyses of diverse single-cell experiments are facing formidable new challenges including dramatic increases in data scale, sample heterogeneity, and the need to informatively cross-reference new data with foundational datasets. Here, we present SCALEX, a deep-learning method that integrates single-cell data by projecting cells into a batch-invariant, common cell-embedding space in a truly online manner (i.e., without retraining the model). SCALEX substantially outperforms online iNMF and other state-of-the-art non-online integration methods on benchmark single-cell datasets of diverse modalities, (e.g., single-cell RNA sequencing, scRNA-seq, single-cell assay for transposase-accessible chromatin use sequencing, scATAC-seq), especially for datasets with partial overlaps, accurately aligning similar cell populations while retaining true biological differences. We showcase SCALEX’s advantages by constructing continuously expandable single-cell atlases for human, mouse, and COVID-19 patients, each assembled from diverse data sources and growing with every new data. The online data integration capacity and superior performance makes SCALEX particularly appropriate for large-scale single-cell applications to build upon previous scientific insights.
Accelerated pyro-catalytic hydrogen production enabled by plasmonic local heating of Au on pyroelectric BaTiO3 nanoparticles
Authors: You Huilin , Li Siqi , Fan Yulong , Guo Xuyun , Lin Zezhou , Ding Ran , Cheng Xin , Zhang Hao , Lo Tsz Woon Benedict , Hao Jianhua , Zhu Ye , Tam Hwa-Yaw , Lei Dangyuan , Lam Chi-Hang , Huang Haitao 
Published: October 2022

AbstractThe greatest challenge that limits the application of pyro-catalytic materials is the lack of highly frequent thermal cycling due to the enormous heat capacity of ambient environment, resulting in low pyro-catalytic efficiency. Here, we introduce localized plasmonic heat sources to rapidly yet efficiently heat up pyro-catalytic material itself without wasting energy to raise the surrounding temperature, triggering a significantly expedited pyro-catalytic reaction and enabling multiple pyro-catalytic cycling per unit time. In our work, plasmonic metal/pyro-catalyst composite is fabricated by in situ grown gold nanoparticles on three-dimensional structured coral-like BaTiO3 nanoparticles, which achieves a high hydrogen production rate of 133.1 ± 4.4 μmol·g−1·h−1 under pulsed laser irradiation. We also use theoretical analysis to study the effect of plasmonic local heating on pyro-catalysis. The synergy between plasmonic local heating and pyro-catalysis will bring new opportunities in pyro-catalysis for pollutant treatment, clean energy production, and biological applications.
Brain milieu induces early microglial maturation through the BAX-Notch axis
Authors: Zhao Fangying , He Jiangyong , Tang Jun , Cui Nianfei , Shi Yanyan , Li Zhifan , Liu Shengnan , Wang Yazhou , Ma Ming , Zhao Congjian , Luo Lingfei , Li Li 
Published: October 2022

AbstractMicroglia are derived from primitive myeloid cells and gain their early identity in the embryonic brains. However, the mechanism by which the brain milieu confers microglial maturation signature remains elusive. Here, we demonstrate that the baxcq55 zebrafish and Baxtm1Sjk mouse embryos exhibit similarly defective early microglial maturation. BAX, a typical pro-apoptotic factor, is highly enriched in neuronal cells and regulates microglial maturation through both pro-apoptotic and non-apoptotic mechanisms. BAX regulates dlb via the CaMKII-CREB axis calcium-dependently in living neurons while ensuring the efficient Notch activation in the immigrated pre-microglia by apoptotic neurons. Notch signaling is conserved in supporting embryonic microglia maturation. Compromised microglial development occurred in the Cx3cr1Cre/+Rbpjfl/fl embryonic mice; however, microglia acquire their appropriate signature when incubated with DLL3 in vitro. Thus, our findings elucidate a BAX-CaMKII-CREB-Notch network triggered by the neuronal milieu in microglial development, which may provide innovative insights for targeting microglia in neuronal disorder treatment.