bluuebunny/crossref_metadata_2025_split huggingface dataset:
High‐degree penalty based global statistical network embedding for name disambiguation in anonymized graph
Authors: Bai Shengxing , Bu Chenyang , Wu Xindong 
Published: June 2024

SummaryIn person‐centric applications, the prevalence of shared names significantly hampers document retrieval, web search, and database integration, highlighting the critical need for name disambiguation. Network embedding based unsupervised name disambiguation methods have received much attention due to their wide applicability and superior disambiguation performance. However, existing methods require complex feature engineering, such as extracting biographical and source content features or constructing supplementary features from external knowledge bases, which are unavailable in privacy‐preserving scenarios. Moreover, they may face challenges such as imbalanced node training or overlooking global statistical information during node embedding learning. In this article, we propose a method to tackle the name disambiguation problem based on high‐degree penalty and global statistical information using only relational data. First, we construct a weighted source similarity network based on multi‐hop collaborator relationships. Second, we employ a high‐degree penalty based global statistical network embedding model to learn low‐dimensional node embeddings and preserve the structural features of the network. Finally, we cluster the same sources using a joint clustering algorithm that does not require prior knowledge of the number of clusters. The experiment validates the effectiveness of the proposed method on two real‐life datasets.
Water use and water use efficiency of three Brassicaceae oilseeds under high‐ and low‐yielding environments
Authors: Gesch Russ W. , Allen B. L. , Archer D. W. , Jabro J. D. , Isbell T. A. , Long D. S. 
Published: June 2024

AbstractBrassicaceae oilseed crops have proven potential as vegetable oil feedstock for biofuels and food uses. However, meeting a growing demand for vegetable oils for food and industrial uses will require identifying oilseed species that are best suited for various growing environments within a particular region. The objective of this study was to compare growth dynamics, seasonal water use (WU), seed yields, and water use efficiency (WUE) of canola (Brassica napus L.), camelina (Camelina sativa L.), and white mustard (Sinapis alba L.) to determine their suitability under three different environments within the northern Great Plains. Comparisons were made among these species over three growing seasons between 2013 and 2016 at Morris, MN; Mandan, ND; and Sidney, MT, situated along a strong precipitation gradient from east to west. Generally, growing season precipitation was similar at Morris and Mandan, but both were considerably greater than at Sidney. Seasonal WU was similar among these oilseed species at Morris and Mandan but was greatest for camelina at the drier Sidney environment. Canola seed yield was the greatest at Morris and had higher WUE than camelina and white mustard. At Mandan and Sidney, canola and camelina had similar seed yields and WUE, which were generally greater than white mustard. Under abundant moisture and low stress (e.g., Morris), seed yield per millimeter of water used could be maximized by growing canola, while in a drier more stressful environment like Sidney, seed yield per millimeter of water used could be maximized by growing camelina.
Synthetic Mn3Ce2O5‐Cluster Mimicking the Oxygen‐Evolving Center in Photosynthesis
Authors: Chen Yang , Su Yao , Han Juanjuan , Chen Changhui , Fan Hongjun , Zhang Chunxi 
Published: June 2024

AbstractThe photosynthetic oxygen‐evolving center (OEC) is a unique Mn4CaO5‐cluster that catalyses water splitting into electrons, protons, and dioxygen. Precisely structural and functional mimicking of the OEC is a long‐standing challenge and pressingly needed for understanding the structure‐function relationship and catalytic mechanism of O−O bond formation. Herein we report two simple and robust artificial Mn3Ce2O5‐complexes that display a remarkable structural similarity to the OEC in regarding of the ten‐atom core (five metal ions and five oxygen bridges) and the alkyl carboxylate peripheral ligands. This Mn3Ce2O5‐cluster can catalyse the water‐splitting reaction on the surface of ITO electrode. These results clearly show that cerium can structurally and functionally replace both calcium and manganese in the cluster. Mass spectroscopic measurements demonstrate that the oxide bridges in the cluster are exchangeable and can be rapidly replaced by the isotopic oxygen of H218O in acetonitrile solution, which supports that the oxide bridge(s) may serve as the active site for the formation of O−O bond during the water‐splitting reaction. These results would contribute to our understanding of the structure‐reactivity relationship of both natural and artificial clusters and shed new light on the development of efficient water‐splitting catalysts in artificial photosynthesis.
A naturalistic examination of feeling fat: Characteristics, predictors, and the relationship with eating disorder behaviors
Authors: Srivastava Paakhi , Giannone Alyssa , Lampe Elizabeth W. , Clancy Olivia M. , Fitzpatrick Brighid , Juarascio Adrienne S. , Manasse Stephanie M. 
Published: June 2024

AbstractObjectiveAlthough literature implicates feeling fat in the maintenance of binge‐spectrum eating disorders (EDs; e.g., bulimia nervosa, binge‐ED), research in this area is small, nascent, and relies on retrospective self‐report. The current study sought to understand the temporal pattern of feeling fat and its role as a precipitant and consequence of ED behaviors.MethodsTotally 106 treatment‐seeking adults with binge‐spectrum EDs completed 7–14‐day ecological momentary assessments. They rated feeling fat, negative affect states, and reported on ED behaviors six times per day. Multilevel models evaluated whether feeling fat mediates prospective links between negative affect states and ED behaviors, assessed if negative affect states mediate the prospective association of feeling fat on ED behaviors, and examined the bidirectional prospective association between feeling fat and ED behaviors.ResultsFeeling fat was highest in the early morning (6–8:59 a.m.). Individuals with binge‐ED‐spectrum EDs demonstrated greater variability in feeling fat than those with bulimia nervosa‐spectrum EDs who had stable and high levels of feeling fat. Guilt, sadness, anxiety, and the overall NA at Time 2 mediated the prospective associations between at Time 1 feeling fat and Time 3 dietary restraint, actual dietary restriction, and compensatory exercise. There was a bidirectional prospective association between feeling fat and binge eating.DiscussionFeeling fat serves as a proximal predictor and mediator of the prospective association between guilt and binge eating. Feeling fat and binge eating mutually reinforce each other.Public SignificanceLittle is understood regarding the experience of feeling fat in natural environments among individuals with binge‐spectrum eating disorders. We found that the risk for having the experience of feeling fat is high in the morning and evening. Feeling fat triggers guilt, anxiety, and sadness which in turn, increases engagement in dietary restraint/restriction and compensatory exercise. Feeling fat also triggers binge eating, and binge eating leads to feelings of fatness.
Long‐term changes in autumn–winter harvest distributions vary among duck species, months, and subpopulations
Authors: Verheijen Bram H. F. , Webb Elisabeth B. , Brasher Michael G. , Hagy Heath M. 
Published: June 2024

AbstractOur aim was to describe shifts in autumn and winter harvest distributions of three species of dabbling ducks (blue‐winged teal [Spatula discors], mallard [Anas platyrhynchos], and northern pintail [Anas acuta]) in the Central and Mississippi flyways of North America during 1960–2019. We measured shifts in band recovery distributions corrected for changes in hunting season dates and zones by using kernel density estimators to calculate 10 distributional metrics. We then assessed interannual and intraspecific variation by comparing species‐specific changes in distributional metrics for 4 months (October–January) and three geographically based subpopulations. During 1960–2019, band recovery distributions shifted west‐ and southwards (blue‐winged teal) or east‐ and northwards (mallard and northern pintail) by one hundred to several hundred kilometers. For all three species, the broad (95% isopleth) and core distributions (50% isopleth) showed widespread decreases in overlap and increases in relative area compared to a 1960–1979 baseline period. Shifts in band recovery distributions varied by month, with southward shifts for blue‐winged teal most pronounced in October and northward shifts for mallard and northern pintail greatest during December and January. Finally, distributional metric response varied considerably among mallard subpopulations, including 2–4‐fold differences in longitude, latitude, and overlap, whereas differences among subpopulations were minimal for blue‐winged teal and northern pintail. Our findings support the popular notion that winter (December–January) distributions of duck species have shifted north; however, the extent and direction of distributional changes vary among species and subpopulations. Long‐term distributional changes are therefore complex and summarizing shifts across species, months, or subpopulations could mask underlying finer‐scale patterns that are important to habitat conservation and population management. A detailed understanding of how species distributions have changed over time will help quantify important drivers of species occurrence, identify habitat management options, and could inform decisions on where to focus conservation or restoration efforts.
Fluorinated Chiral Pyrans Obtained via Mechanochemical Organocatalytic Michael/oxa‐Michael Cascade
Authors: Stankovianska Klára , Némethová Viktória , Peňaška Tibor , Borko Jakub , Mečiarová Mária , Šebesta Radovan 
Published: June 2024

AbstractFluorine‐containing compounds are important in medicine or crop‐protection. Herein, we show asymmetric organocatalytic Michael/oxa‐Michael cascade leading to chiral fluorinated pyrans under mechanochemical conditions. Formal oxa‐Diels‐Alder reaction between fluorine containing unsaturated keto esters and β,γ‐unsaturated ketones afforded a range of drug‐like pyran derivatives in short times and good to high yields. Ball‐milling conveys the reaction in short times and high product yields, while keeping high enantiomeric purities of products. The reaction is diastereodivergent depending on the use of either monofunctional amine catalysts or bifunctional thiourea or squaramide.
The influence of cross‐sectional aspect ratio on ceiling temperature profile and mass flow rate of ceiling jet in tunnel fires
Authors: Zhao Shengzhong , Gao Hanxiao , Xu Tiantian , Wang Fei , Obadi Imad , Xu Lin , Yu Junhao , Liu Mengzhen 
Published: June 2024

AbstractIn this paper, the influence of tunnel cross‐sectional aspect ratio on the ceiling temperature profile and mass flow rate (MFR) of ceiling jet is studied theoretically and numerically, and 13 tunnel cross sections with different aspect ratios () are considered. A total of 26 full‐scale numerical simulation cases are conducted using Fire Dynamics Simulator, and small‐scale experiments are used to verify the accuracy of the simulations. Results show that the maximum ceiling temperature is more sensitive to the tunnel height and decreases with increasing aspect ratio, which can be divided into two regions, <1 and ≥1. When ≥1, the maximum ceiling temperature varies more linearly. The initial locations of the one‐dimensional spread for the tunnel with different tunnel cross‐sectional aspect ratios are similar, which are concentrated at 15–20 m from the fire source when taking the MFR increase rate of 0.001 as the criterion. By introducing the sectional coefficient, the MFR model and temperature attenuation model of ceiling jet are developed for the tunnels with <1 and ≥1, respectively. The results of this paper could provide definite reference value for the smoke control in tunnel fires.
Multimodal cross‐examination of progressive apraxia of speech by diffusion tensor imaging‐based tractography and Tau‐PET scans
Authors: Gatto Rodolfo G. , Pham Nha Trang Thu , Duffy Joseph R. , Clark Heather M. , Utianski Rene L. , Botha Hugo , Machulda Mary M. , Lowe Val J. , Schwarz Christopher G. , Jack Clifford R. , Josephs Keith A. , Whitwell Jennifer L. 
Published: June 2024

AbstractProgressive apraxia of speech (PAOS) is a 4R tauopathy characterized by difficulties with motor speech planning. Neurodegeneration in PAOS targets the premotor cortex, particularly the supplementary motor area (SMA), with degeneration of white matter (WM) tracts connecting premotor and motor cortices and Broca's area observed on diffusion tensor imaging (DTI). We aimed to assess flortaucipir uptake across speech‐language‐related WM tracts identified using DTI tractography in PAOS. Twenty‐two patients with PAOS and 26 matched healthy controls were recruited by the Neurodegenerative Research Group (NRG) and underwent MRI and flortaucipir‐PET. The patient population included patients with primary progressive apraxia of speech (PPAOS) and non‐fluent variant/agrammatic primary progressive aphasia (agPPA). Flortaucipir PET scans and DTI were coregistered using rigid registration with a mutual information cost function in subject space. Alignments between DTI and flortaucipir PET were inspected in all cases. Whole‐brain tractography was calculated using deterministic algorithms by a tractography reconstruction tool (DSI‐studio) and specific tracts were identified using an automatic fiber tracking atlas‐based method. Fractional anisotropy (FA) and flortaucipir standardized uptake value ratios (SUVRs) were averaged across the frontal aslant tract, arcuate fasciculi, inferior frontal‐occipital fasciculus, inferior and middle longitudinal fasciculi, as well as the SMA commissural fibers. Reduced FA (p < .0001) and elevated flortaucipir SUVR (p = .0012) were observed in PAOS cases compared to controls across all combined WM tracts. For flortaucipir SUVR, the greatest differentiation of PAOS from controls was achieved with the SMA commissural fibers (area under the receiver operator characteristic curve [AUROC] = 0.83), followed by the left arcuate fasciculus (AUROC = 0.75) and left frontal aslant tract (AUROC = 0.71). Our findings demonstrate that flortaucipir uptake is increased across WM tracts related to speech/language difficulties in PAOS.
Neural representations of statistical and rule‐based predictions in Gilles de la Tourette syndrome
Authors: Takacs Adam , Toth‐Faber Eszter , Schubert Lina , Tarnok Zsanett , Ghorbani Foroogh , Trelenberg Madita , Nemeth Dezso , Münchau Alexander , Beste Christian 
Published: June 2024

AbstractGilles de la Tourette syndrome (GTS) is a disorder characterised by motor and vocal tics, which may represent habitual actions as a result of enhanced learning of associations between stimuli and responses (S‐R). In this study, we investigated how adults with GTS and healthy controls (HC) learn two types of regularities in a sequence: statistics (non‐adjacent probabilities) and rules (predefined order). Participants completed a visuomotor sequence learning task while EEG was recorded. To understand the neurophysiological underpinnings of these regularities in GTS, multivariate pattern analyses on the temporally decomposed EEG signal as well as sLORETA source localisation method were conducted. We found that people with GTS showed superior statistical learning but comparable rule‐based learning compared to HC participants. Adults with GTS had different neural representations for both statistics and rules than HC adults; specifically, adults with GTS maintained the regularity representations longer and had more overlap between them than HCs. Moreover, over different time scales, distinct fronto‐parietal structures contribute to statistical learning in the GTS and HC groups. We propose that hyper‐learning in GTS is a consequence of the altered sensitivity to encode complex statistics, which might lead to habitual actions.
Evidence gaps and challenges in maintaining and increasing vaccine uptake: A Delphi survey with Australian stakeholders
Authors: Robinson Penelope , Degeling Chris , Wiley Kerrie , Carter Stacy , Leask Julie 
Published: June 2024

AbstractIssue AddressedIncreasing and maintaining vaccination uptake is crucial for preventing and managing infectious diseases. In the context of the post‐coronavirus disease 2019 (COVID‐19) pandemic landscape, this paper examines the perceptions of immunisation implementers and policymakers to uncover the challenges and evidence gaps in routine immunisation efforts.MethodsWe conducted an online two‐round modified Delphi survey with immunisation experts, senior public servants, policymakers, policy advisory groups, and representatives from peak bodies from across Australia. We asked respondents to outline what they see as the greatest challenges to increasing and maintaining uptake of recommended vaccines in Australia; the most difficult aspects of their work in vaccination; the largest evidence gaps in vaccine uptake; and the kinds of social and behavioural research they would like to see prioritised.ResultsThe two most important challenges for increasing and maintaining vaccine uptake were effectively communicating the benefits of vaccines to parents and the public and ensuring accessible and affordable vaccination services. Participants strongly agreed that ‘communication about the importance of vaccination’ was the most difficult aspect of their work. Consistently important was the need to better engage specific population groups, such as culturally and linguistically diverse people, pregnant people, at risk cohorts, and health care providers. Social and behavioural research about ‘how to effectively address hesitancy’ was ranked highly among participants.ConclusionsFindings from this project help provide an understanding of the behavioural, social, ethical, and policy knowledge needs for immunisation policy and implementation in Australia. To respond to vaccine challenges, increase coverage and build public trust in vaccination, policymakers and governments should incorporate social research into vaccination programmes.So What?Australia is preparing to launch a Centre for Disease Control. This study demonstrates the importance of integrating social, behavioural, ethical, and policy research into the fabric of this new enterprise. It underlines the need to capacity‐build a workforce able to deliver high‐quality research in these areas, address the needs of immunisation implementers and policymakers, and achieve good outcomes for Australians.
Implementing ‘Closing the Gap’ policy through mainstream service provision: A South Australian case study
Authors: George Emma , Fisher Matt , Mackean Tamara , Baum Fran 
Published: June 2024

AbstractIssue AddressedThe Australian government's ‘Closing the Gap’ (CTG) strategy has been implemented via multiple strategies. We examined CTG policy in early childhood within Southern Adelaide during the first decade of implementation (2008–2018) and critiqued the complexity and challenges of policy that is designed to promote health and well‐being of Aboriginal and Torres Strait Islander children but lacked Aboriginal control.MethodsA qualitative case study was conducted in Southern Adelaide, and we interviewed 16 policy actors from health and early childhood education sectors. Thematic analysis revealed key themes to show how policy had been implemented through mainstream structures.ResultsThe rapid roll out of the CTG strategy, the limitations of short‐term funding, cuts to Aboriginal health services, tokenistic consultation, and the mainstreaming of service provision were key features of policy implementation. The influence of Aboriginal leaders varied across implementation contexts. Participants advocated for services in health and education that are culturally safe to improve health of children, families, and communities.ConclusionsThe implementation of the CTG strategy in Southern Adelaide was rushed, complex, and lacking Aboriginal control. This contributed to the marginalisation of Aboriginal leaders, and disengagement of families and communities. A more collaborative and Aboriginal led process for policy implementation is essential to reform policy implementation and address health inequity.So What?Findings from this study suggest that policy has continued to be implemented I ways that reflect colonial power imbalances. Alternative processes that promote the recognition of Indigenous rights must be considered if we are to achieve the targets set within the CTG strategy.
The US structural transformation and regional convergence: Racial heterogeneity
Authors: Kim Minki , Lee Munseob 
Published: June 2024

SummaryStructural transformation and regional convergence in US income are both longstanding trends. Caselli and Coleman (2001) documented that 60% of regional convergence between the US South and North from 1940 to 1990 was due to structural transformation. Our replication confirms these robust findings. Examining black and white populations separately, we find the magnitude of regional income convergence was much larger for the black workers, and that structural transformation explains most regional income convergence for white workers but only 30% for black workers. Extending the analysis until 2020, however, we observe income convergence among black workers and divergence among white workers. Structural transformation's role in income convergence or divergence from 1990 to 2020 is negligible.
Optimization and performance indication of surrounding gate tunnel field‐effect transistors based on machine learning
Authors: Charumathi V. , Balamurugan N. B. , Suguna M. , Kumar D. Sriram 
Published: June 2024

AbstractSelecting designs that efficiently optimize multiple objectives simultaneously is an important problem in several distinct industries. Typically, there is not a single ideal design; rather, there are several Pareto‐optimal designs that provide the best possible trade‐offs between the objectives. However, evaluating every design might be expensive, making a thorough search for the whole Pareto optimum set impractical. The aforementioned issue with technology computer‐aided design (TCAD) while investigating a multidimensional parameter set for device design is addressed using Pareto active learning (PAL) and the nondominated sorting genetic algorithm‐III (NSGA‐III) which are metaheuristics‐based multiobjective optimization (MOO) techniques. NSGA‐III adeptly analyzes the tradeoffs among multiple objectives while ensuring diversity in the design space. PAL forecasts the Pareto‐optimal set with intelligence by deliberately sampling the design space. This work focusses on improving the performance of surrounding gate tunnel field‐effect transistors (SGTFETs) by optimizing and assessing their complex designs in terms of multiple objectives, including power, energy, speed, and variability. This paper presents a novel MOO framework that incorporates machine learning (ML) approaches, including NSGA‐III and PAL in SGTFETs technology. The framework provides effective global optimization without gradients, allowing for the automatic recognition of the best solutions. The outcomes show the possibility of ML‐based MOO to create next‐generation nanoscale transistors.