bluuebunny/crossref_metadata_2025_split huggingface dataset:
On the NASA GEDI and ESA CCI biomass maps: aligning for uptake in the UNFCCC global stocktake
Authors: Hunka Neha , Santoro Maurizio , Armston John , Dubayah Ralph , McRoberts Ronald E , Næsset Erik , Quegan Shaun , Urbazaev Mikhail , Pascual Adrián , May Paul B , Minor David , Leitold Veronika , Basak Paromita , Liang Mengyu , Melo Joana , Herold Martin , Málaga Natalia , Wilson Sylvia , Durán Montesinos Patricia , Arana Alexs , Ernesto De La Cruz Paiva Ricardo , Ferrand Jeremy , Keoka Somphavy , Guerra-Hernández Juan , Duncanson Laura 
Published: November 2023

Abstract
Earth Observation data are uniquely positioned to estimate forest aboveground biomass density (AGBD) in accordance with the United Nations Framework Convention on Climate Change (UNFCCC) principles of ‘transparency, accuracy, completeness, consistency and comparability’. However, the use of space-based AGBD maps for national-level reporting to the UNFCCC is nearly non-existent as of 2023, the end of the first global stocktake (GST). We conduct an evidence-based comparison of AGBD estimates from the NASA Global Ecosystem Dynamics Investigation and ESA Climate Change Initiative, describing differences between the products and National Forest Inventories (NFIs), and suggesting how science teams must align efforts to inform the next GST. Between the products, in the tropics, the largest differences in estimated AGBD are primarily in the Congolese lowlands and east/southeast Asia. Where NFI data were acquired (Peru, Mexico, Lao PDR and 30 regions of Spain), both products show strong correlation to NFI-estimated AGBD, with no systematic deviations. The AGBD-richest stratum of these, the Peruvian Amazon, is accurately estimated in both. These results are remarkably promising, and to support the operational use of AGB map products for policy reporting, we describe targeted ways to align products with Intergovernmental Panel on Climate Change (IPCC) guidelines. We recommend moving towards consistent statistical terminology, and aligning on a rigorous framework for uncertainty estimation, supported by the provision of open-science codes for large-area assessments that comprehensively report uncertainty. Further, we suggest the provision of objective and open-source guidance to integrate NFIs with multiple AGBD products, aiming to enhance the precision of national estimates. Finally, we describe and encourage the release of user-friendly product documentation, with tools that produce AGBD estimates directly applicable to the IPCC guideline methodologies. With these steps, space agencies can convey a comparable, reliable and consistent message on global biomass estimates to have actionable policy impact.
Analysis and prediction of surface topography characteristics and influence factors of tool passive vibration in milling process
Authors: Zhang Wei , Su Peibin , Zheng Minli , Zhang Lei , Bai Fengsong 
Published: November 2023

Abstract
The surface topography of the processed workpiece has a significant impact on its service performance, and the tool undergoes passive vibration due to the influence of milling forces during the machining process. This article focuses on the influence of milling parameters and tool passive vibration on the formation process of surface topography. Firstly, the forming mechanism of surface topography during passive vibration of cutting tools was studied, and a cutting edge motion trajectory model considering milling parameters and passive vibration of cutting tools was established; And the influence of milling parameters on surface topography with and without tool passive vibration was analyzed through experiments and simulations; A prediction model for the maximum height S
z and areal arithmetic mean height S
a of surface topography was established using least squares support vector machine (LSSVM). We used the Improved Particle Swarm Optimization (PSO) algorithm to search for optimal solutions for kernel width coefficients and regularization parameters in LSSVM, and wrote a program to improve the PSO-LSSVM prediction model. The results indicate that the proposed prediction model can provide a certain basis for the selection of actual milling experimental parameters.
Error analysis of precision measurement with monocular vision
Authors: Wang Shun , Li Xianyou , Zhang Yufei , Xu Ke 
Published: November 2023

Abstract
To systematically study the measurement error of the calibration coefficient method when the camera’s optical axis is not perpendicular to the measurement plane, this paper first discusses the principle of error measurement with 2D imaging model, and then derives the distribution relationship of physical points corresponding to evenly distributed pixels in the pixel coordinate system based on the projection transformation matrix of the vision system. Theoretical analysis reveals an equivariance series in the expression of physical point intervals. Considering rotational symmetry of the coordinate axis, this paper analyzes the geometric relationship when the calibration plane rotates around the

X

axis and derives the mathematical expression for dimensional measurement. Finally, an experimental platform with both industrial and telecentric lenses is proposed and designed. Experimental results demonstrate that the measurement results of the expression derived in this paper are consistent with the traditional coordinate transformation method and the maximum deviation of the measurement is less than 0.06 mm, validating the theoretical analysis presented in this paper and providing theoretical guidance for subsequent practical application.
Study Design and Protocol of the Multisite Pregnancy 24/7 Cohort Study
Authors: Whitaker Kara M , Jones Melissa A , Smith Karina , Catov Janet , Feghali Maisa , Kline Christopher E , Santillan Mark , Santillan Donna , Zimmerman Bridget , Gibbs Bethany Barone 
Published: November 2023

Abstract
Hypertensive disorders of pregnancy and other adverse pregnancy outcomes (APOs) are associated with an increased risk of future maternal cardiovascular disease. Physical activity during pregnancy reduces the risk of these APOs, yet few meet physical activity guidelines during pregnancy. Little is known about the role of sedentary behavior or sleep in APOs, a critical gap in knowledge given these behaviors comprise the majority of a 24-hour day. To address this knowledge gap, the Pregnancy 24/7 cohort study (2020–2025) uses 2 devices for 24-hour activity assessment in each trimester of pregnancy to examine associations of sedentary behavior, sleep, and the 24-hour activity cycle (composition of sedentary behavior, physical activity, and sleep) with hypertensive disorders and other APOs. Participants (n = 500) are recruited from the University of Iowa, University of Pittsburgh, and West Virginia University in early pregnancy and followed through delivery. The activPAL3 micro and Actiwatch Spectrum Plus are worn in each trimester for 7 days of 24-hour wear to assess the 24-hour activity cycle. APOs are abstracted from medical charts. This study will provide critical data to fuel future research examining how modifying the 24-hour activity cycle in pregnancy can improve maternal health.
A Segmented Regression Analysis of Household Income and Recurrent Falls Among Adults in a National Cohort Study
Authors: Brown Janene , Hirsch Jana A. , Tabb Loni Philip , Judd Suzanne E , Bennett Aleena , Rundle Andrew , Lovasi Gina S 
Published: November 2023

Abstract
Falls can have life-altering consequences for older adults, including extended recovery periods and compromised independence. Higher household income may mitigate the risk of falls by providing financial resources for mobility tools, remediation of environmental hazards, and needed supports, or it may buffer the impact of an initial fall on subsequent risk through improved assistance and care. Household income has not had a consistently observed association with falls in older adults; however, a segmented association may exist such that associations are attenuated above a certain income threshold. In this study, we utilized segmented negative binomial regression analysis to examine the association between household income and recurrent falls among 2,302 participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study recruited between 2003 and 2007. Income-fall association segments separated by changes in slope were considered. Model results indicated a 2-segment association between household income and recurrent falls in the past year. In the range below the breakpoint, household income was negatively associated with the rate of recurrent falls across all age groups examined; in a higher income range (from $20,000–$49,999 to ≥$150,000), the association was attenuated (weaker negative trend) or reversed (positive trend). These findings point to potential benefits of ensuring that incomes for lower-income adults exceed the threshold needed to confer a reduced risk of recurrent falls.
Double-Negative Results Matter: A Reevaluation of Sensitivities for Detecting SARS-CoV-2 Infection Using Saliva Versus Nasopharyngeal Swabs
Authors: Wang Zheng , Liu Yu-Lun , Chen Yong , Siegel Lianne , Cappelleri Joseph C , Chu Haitao 
Published: November 2023

Abstract
In a recent systematic review, Bastos et al. (Ann Intern Med. 2021;174(4):501–510) compared the sensitivities of saliva sampling and nasopharyngeal swabs in the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection by assuming a composite reference standard defined as positive if either test is positive and negative if both tests are negative (double negative). Even under a perfect specificity assumption, this approach ignores the double-negative results and risks overestimating the sensitivities due to residual misclassification. In this article, we first illustrate the impact of double-negative results in the estimation of the sensitivities in a single study, and then propose a 2-step latent class meta-analysis method for reevaluating both sensitivities using the same published data set as that used in Bastos et al. by properly including the observed double-negative results. We also conduct extensive simulation studies to compare the performance of the proposed method with Bastos et al.’s method for varied levels of prevalence and between-study heterogeneity. The results demonstrate that the sensitivities are overestimated noticeably using Bastos et al.’s method, and the proposed method provides a more accurate evaluation with nearly no bias and close-to-nominal coverage probability. In conclusion, double-negative results can significantly impact the estimated sensitivities when a gold standard is absent, and thus they should be properly incorporated.
Marshall Joffe’s Contributions to Causal Inference, Biostatistics, and Epidemiology
Authors: Isenberg Dane , Kennedy Edward H , Landis J Richard , Mitra Nandita , Robins James M , Roy Jason , Stephens-Shields Alisa J , Yang Wei , Small Dylan S 
Published: November 2023

Abstract
We pay tribute to Marshall Joffe, PhD, and his substantial contributions to the field of causal inference with focus in biostatistics and epidemiology. By compiling narratives written by us, his colleagues, we not only present highlights of Marshall’s research and their significance for causal inference but also offer a portrayal of Marshall’s personal accomplishments and character. Our discussion of Marshall’s research notably includes (but is not limited to) handling of posttreatment variables such as noncompliance, employing G-estimation for treatment effects on failure-time outcomes, estimating effects of time-varying exposures subject to time-dependent confounding, and developing a causal framework for case-control studies. We also provide a description of some of Marshall’s unpublished work, which is accompanied by a bonus anecdote. We discuss future research directions related to Marshall’s research. While Marshall’s impact in causal inference and the world outside of it cannot be wholly captured by our words, we hope nonetheless to present some of what he has done for our field and what he has meant to us and to his loved ones.
Long-term outcomes and adverse effects of teduglutide in patients with short bowel syndrome: Highlighting hyperamylasemia and hyperlipasemia
Authors: Kim Dong Wook , Kim Eunju , Bertram Kyle , Rim Daniel Sungku , Nolen-Doerr Eric , Shin Jeong-Hun 
Published: November 2023

Abstract

Purpose
Short bowel syndrome is a malabsorptive condition that occurs due to surgical removal or a congenital absence of a significant portion of the small intestine. Patients with short bowel syndrome often rely on parenteral support for extended periods or even their entire lives. Teduglutide, a glucagon-like peptide-2 analog, has shown promising results in reducing dependency on parenteral support in these patients by promoting intestinal adaptation and enhancing nutrient absorption. However, the long-term safety of teduglutide remains a concern, particularly with respect to its potential for the development of hyperamylasemia and hyperlipasemia.

Methods
This study involved patients who received teduglutide from December 2012 to December 2022 at Boston Medical Center. We evaluated outcomes and adverse events, focusing on hyperamylasemia and hyperlipasemia, through chart review.

Results
Thirteen eligible patients were identified who had used teduglutide. Of these, the majority (84.6%) experienced a reduction in parenteral support. A high incidence (72.7%) of nonpathological pancreatic enzyme elevation was observed in patients treated with teduglutide. These elevations were often dose dependent and were not associated with any clinical signs of acute pancreatitis or abnormal imaging findings.

Conclusion
This study highlights the need for further investigations into the long-term safety of teduglutide and the importance of closely monitoring amylase and lipase levels in patients undergoing treatment with teduglutide.
SSLpheno: a self-supervised learning approach for gene–phenotype association prediction using protein–protein interactions and gene ontology data
Authors: Bi Xuehua , Liang Weiyang , Zhao Qichang , Wang Jianxin 
Published: November 2023

Abstract

Motivation
Medical genomics faces significant challenges in interpreting disease phenotype and genetic heterogeneity. Despite the establishment of standardized disease phenotype databases, computational methods for predicting gene–phenotype associations still suffer from imbalanced category distribution and a lack of labeled data in small categories.

Results
To address the problem of labeled-data scarcity, we propose a self-supervised learning strategy for gene–phenotype association prediction, called SSLpheno. Our approach utilizes an attributed network that integrates protein–protein interactions and gene ontology data. We apply a Laplacian-based filter to ensure feature smoothness and use self-supervised training to optimize node feature representation. Specifically, we calculate the cosine similarity of feature vectors and select positive and negative sample nodes for reconstruction training labels. We employ a deep neural network for multi-label classification of phenotypes in the downstream task. Our experimental results demonstrate that SSLpheno outperforms state-of-the-art methods, especially in categories with fewer annotations. Moreover, our case studies illustrate the potential of SSLpheno as an effective prescreening tool for gene–phenotype association identification.

Availability and implementation
https://github.com/bixuehua/SSLpheno.
Effectiveness of antibacterial therapeutic clothing vs. nonantibacterial therapeutic clothing in patients with moderate-to-severe atopic dermatitis: a randomized controlled observer-blind pragmatic trial (ABC trial)
Authors: Ragamin Aviël , Schappin Renske , de Graaf Marlies , Tupker Ron A , Fieten Karin B , van Mierlo Minke M F , Bronner Madelon B , Romeijn Geertruida L E , Sloot Manon M , Boesjes Celeste M , van der Rijst Lisa P , Arents Bernd W M , Rustemeyer Thomas , Schuttelaar Marie L A , Pasmans Suzanne G M A 
Published: November 2023

Abstract

Background
Increased Staphylococcus aureus (SA) colonization is considered an important factor in the pathogenesis of atopic dermatitis (AD). Antibacterial therapeutic clothing aims to reduce SA colonization and AD inflammation; however, its role in the management of AD remains poorly understood.

Objectives
To investigate the effectiveness of antibacterial therapeutic clothing + standard topical treatment in patients with moderate-to-severe AD vs. standard therapeutic clothing + standard topical treatment; and, if effectiveness was demonstrated, to demonstrate its cost-effectiveness.

Methods
A pragmatic double-blinded multicentre randomized controlled trial (NCT04297215) was conducted in patients of all ages with moderate-to-severe AD. Patients were centrally randomized 1 : 1 : 1 to receive standard therapeutic clothing or antibacterial clothing based on chitosan or silver. The primary outcome was the between-group difference in Eczema Area and Severity Index (EASI) measured over 52 weeks. Secondary outcomes included patient-reported outcomes (PROs), topical corticosteroid (TCS) use, SA colonization, safety and cost-effectiveness. Outcomes were assessed by means of (generalized) linear mixed-model analyses.

Results
Between 16 March 2020 and 20 December 2021, 171 patients were enrolled. In total, 159 patients were included (54 in the standard therapeutic clothing group, 50 in the chitosan group and 55 in the silver group). Adherence was high [median 7 nights a week wear (interquartile range 3–7)]. Median EASI scores at baseline and at 4, 12, 26 and 52 weeks were 11.8, 4.3, 4.6, 4.2 and 3.6, respectively, in the standard therapeutic clothing group vs. 11.3, 5.0, 3.0, 3.0 and 4.4, respectively, in the chitosan group, and 11.6, 5.0, 5.4, 4.6 and 5.8, respectively, in the silver group. No differences in EASI over 52 weeks between the standard therapeutic clothing group, the chitosan group [–0.1, 95% confidence interval (CI) –0.3 to 0.2; P = 0.53] or the silver group (–0.1, 95% CI –0.3 to 0.2; P = 0.58) were found. However, a small significant group × time interaction effect between the standard and silver groups was found (P = 0.03), in which the silver group performed worse after 26 weeks. No differences between groups were found in PROs, TCS use, SA skin colonization and healthcare utilization. No severe adverse events or silver absorption were observed.

Conclusions
The results of this study suggest no additional benefits of antibacterial agents in therapeutic clothing in patients with moderate-to-severe AD.
Vortioxetine for the treatment of post-COVID-19 condition: a randomized controlled trial
Authors: McIntyre Roger S , Phan Lee , Kwan Angela T H , Mansur Rodrigo B , Rosenblat Joshua D , Guo Ziji , Le Gia Han , Lui Leanna M W , Teopiz Kayla M , Ceban Felicia , Lee Yena , Bailey Julia , Ramachandra Ranuk , Di Vincenzo Joshua , Badulescu Sebastian , Gill Hartej , Drzadzewski Pawel , Subramaniapillai Mehala 
Published: November 2023

Abstract
Hitherto no therapeutic has received regulatory approval for the treatment of post-COVID-19 condition (PCC). Cognitive deficits, mood symptoms and significant reduction in health-related quality of life (HRQoL) are highly replicated and debilitating aspects of PCC. We sought to determine the impact of vortioxetine on the foregoing symptoms and HRQoL in persons living with PCC.
An 8-week randomized, double-blind, placebo-controlled study of adults ≥ 18 years of age residing in Canada and who are experiencing symptoms of World Health Organization (WHO)-defined PCC, with a history of confirmed SARS-CoV-2 infection, was conducted. Recruitment began November 2021 and ended January 2023. Of the 200 participants enrolled (487 invited: 121 ineligible and 59 eligible but declined participation; 307 cleared pre-screening stage), a total of 149 participants were randomized (1:1) to receive either vortioxetine (5–20 mg, n = 75) or placebo (n = 74) daily for 8 weeks of double-blind treatment (i.e. end point). The primary outcome was the change from baseline-to-end point in the Digit Symbol Substitution Test. Secondary outcomes included the effect on depressive symptoms and HRQoL, as measured by changes from baseline-to-end point on the Quick Inventory of Depressive Symptomatology 16-item and WHO Wellbeing Scale 5-item, respectively.
A total of 68 (90.7%) participants randomized to vortioxetine and 73 (98.6%) participants randomized to placebo completed all 8 weeks. Between-group analysis did not show a significant difference in the overall change in cognitive function [P = 0.361, 95% confidence interval (CI) (−0.179, 0.492)]. However, in the fully adjusted model, a significant treatment × time interaction was observed in favour of vortioxetine treatment with baseline c-reactive protein (CRP) as a moderator (P = 0.012). In addition, a significant improvement in Digit Symbol Substitution Test scores were observed in vortioxetine versus placebo treated participants in those whose baseline CRP was above the mean (P = 0.045). Moreover, significant improvement was obtained in measures of depressive symptoms [P &lt; 0.001, 95% CI (−4.378, −2.323)] and HRQoL [P &lt; 0.001, 95% CI (2.297, 4.647)] in vortioxetine-treated participants and between the treatment groups [depressive symptoms: P = 0.026, 95% CI (−2.847, −0.185); HRQoL: P = 0.004, 95% CI (0.774, 3.938)].
Although vortioxetine did not improve cognitive function in the unadjusted model, when adjusting for CRP, a significant pro-cognitive effect was observed; antidepressant effects and improvement in HRQoL in this debilitating disorder were also noted.
Intensive whole-brain 7T MRI case study of volitional control of brain activity in deep absorptive meditation states
Authors: Yang Winson Fu Zun , Chowdhury Avijit , Bianciardi Marta , van Lutterveld Remko , Sparby Terje , Sacchet Matthew D 
Published: November 2023

Abstract
Jhanas are profound states of mind achieved through advanced meditation, offering valuable insights into the nature of consciousness and tools to enhance well-being. Yet, its neurophenomenology remains limited due to methodological difficulties and the rarity of advanced meditation practitioners. We conducted a highly exploratory study to investigate the neurophenomenology of jhanas in an intensively sampled adept meditator case study (4 hr 7T fMRI collected in 27 sessions) who performed jhana meditation and rated specific aspects of experience immediately thereafter. Linear mixed models and correlations were used to examine relations among brain activity and jhana phenomenology. We identified distinctive patterns of brain activity in specific cortical, subcortical, brainstem, and cerebellar regions associated with jhana. Furthermore, we observed correlations between brain activity and phenomenological qualities of attention, jhanic qualities, and narrative processing, highlighting the distinct nature of jhanas compared to non-meditative states. Our study presents the most rigorous evidence yet that jhana practice deconstructs consciousness, offering unique insights into consciousness and significant implications for mental health and well-being.