bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantitative analysis of liver standardized uptake value repeatability in SPECT/CT implications for clinical practice
Authors: Tokorodani Ryotaro , Kume Toshiaki , Daisaki Hiromitu , Hayashi Naoya , Iwasa Hitomi , Yamagami Takuji 
Published: March 2024

Abstract

Purpose. The aim of this study was to assess the repeatability of the SUV normalized by liver volume (SUVL) between two liver receptor SPECT/CT studies performed on different days in patients with ICG-R15 values within normal range. Methods. 935 patients who underwent liver receptor scintigraphy between January 2010 and August 2018 were included. Patients who underwent liver resection, hepatic arterial embolization or had ICG-R15 >10% between scans were excluded, and 38 patients were finally included in the analysis. The repeatability of SUVL between scans was assessed using the intraclass correlation coefficient (ICC) (1.1) between SUVLmax, SUVLpeak and SUVLmean at the first and second scan and the additive and proportional errors from the Bland-Altman analysis. Results. In ICC (1,1), SUVLmax, SUVLpeak and SUVLmean were all greater than 0.8, indicating almost perfect repeatability; neither additive nor proportional errors were observed in the Bland-Altman analysis. Conclusions. In patients with ICG-R15 values within the normal range, the SUV Liver (SUVL) between two liver receptor SPECT/CT studies performed on different days was repeatability over time. It was suggested that the SUVL of liver receptor scintigraphy could be an indicator that could be used for follow-up over time in the assessment of liver fibrosis.
A model of sustainable development in economic, social, and environmental aspects: the role of social capital in China
Authors: Zhang Fan , Xiao Feng , Yu Pengju 
Published: March 2024

Abstract
This paper takes China as an example to quantitatively study the weight relationship between economic growth, social welfare, and environmental quality, and explores the role of social capital in promoting sustainable development. This paper constructs the Hamilton optimization model, the ‘sustainable’ element is introduced on the basis of the traditional utility function, and given China’s economic characteristics of numerical simulation analysis was carried out on the model parameters, to reveal the connotation of Chinese sustainable development from the mathematical, to explore the influence mechanism of social capital in promoting sustainable development. Research has found that sustainable development seeks coordinated economic, social, and environmental development. Setting the weight ratio of economic growth, social welfare, and environmental quality at 1:1.5:1.5 can better explain China’s concept of sustainable development. When social capital accelerates its accumulation, it can effectively control the development and utilization of natural resources, and the ecosystem environment can maintain the stable state of the ecosystem through its own regeneration and restoration ability. Social capital has become a new driving force for sustainable development, achieving a steady and rising trend of China’s economic development level. The research conclusions are helpful to promote the sustainable development, and to enrich and expand the relevant research on social capital.
High-performance composite transparent electrode composed of ultra-long silver nanowires and antimony-doped tin oxide nanoparticles
Authors: Sin GyeChol , Ri KukChol , Jon SangMo , Kim GangHyok 
Published: March 2024

Abstract
Composite transparent conductive electrodes (TCEs) consisting of silver nanowires (AgNWs) and conductive metal oxides are very promising for flexible optoelectronic devices due to their smooth surface morphology and high chemical stability. However, it is still challenging to ensure high optoelectronic performance and long-term stability in practical applications. Here, we solved these problems by coating antimony-doped tin oxide (ATO) nanoparticles dispersion on ultra-long AgNWs network using waterborne polyurethane (WPU) binder. Ultra-long nanowires occupy less wire-wire junctions and space than short nanowires, thus increasing the optoelectronic performance and flexibility of the composite TCE. WPU improves the adhesion and stability of ATO nanoparticles to the substrate and AgNWs network. The fabricated composite TCE showed a low sheet resistance of 11.9 Ω sq−1, good optical transmittance of 83% at 550 nm and a figure of merit (FOM) of 162 compared to PET/ITO electrode. It also showed excellent mechanical flexibility, adhesion to the substrate and solvent stability. Furthermore, the long-term conductivity was maintained under ambient conditions for 60 days.
A machine learning constitutive model for plasticity and strain hardening of polycrystalline metals based on data from micromechanical simulations
Authors: Shoghi Ronak , Hartmaier Alexander 
Published: March 2024

Abstract
Machine learning (ML) methods have emerged as promising tools for generating constitutive models directly from mechanical data. Constitutive models are fundamental in describing and predicting the mechanical behavior of materials under arbitrary loading conditions. In recent approaches, the yield function, central to constitutive models, has been formulated in a data-oriented manner using ML. Many ML approaches have primarily focused on initial yielding, and the effect of strain hardening has not been widely considered. However, taking strain hardening into account is crucial for accurately describing the deformation behavior of polycrystalline metals. To address this problem, the present study introduces an ML-based yield function formulated as a support vector classification model, which encompasses strain hardening. This function was trained using a 12-dimensional feature vector that includes stress and plastic strain components resulting from crystal plasticity finite element method (CPFEM) simulations on a 3-dimensional RVE with 343 grains with a random crystallographic texture. These simulations were carried out to mimic multi-axial mechanical testing of the polycrystal under proportional loading in 300 different directions, which were selected to ensure proper coverage of the full stress space. The training data were directly taken from the stress–strain results obtained for the 300 multi-axial load cases. It is shown that the ML yield function trained on these data describes not only the initial yield behavior but also the flow stresses in the plastic regime with a very high accuracy and robustness. The workflow introduced in this work to generate synthetic mechanical data based on realistic CPFEM simulations and to train an ML yield function, including strain hardening, will open new possibilities in microstructure-sensitive materials modeling and thus pave the way for obtaining digital material twins.
Partitioning variance in a signaling trade-off under sexual selection reveals among-individual covariance in trait allocation
Authors: Reichert Michael S , de la Hera Iván , Moiron Maria 
Published: March 2024

Abstract
Understanding the evolution of traits subject to trade-offs is challenging because phenotypes can (co)vary at both the among- and within-individual levels. Among-individual covariation indicates consistent, possibly genetic, differences in how individuals resolve the trade-off, while within-individual covariation indicates trait plasticity. There is also the potential for consistent among-individual differences in behavioral plasticity, although this has rarely been investigated. We studied the sources of (co)variance in two characteristics of an acoustic advertisement signal that trade-off with one another and are under sexual selection in the gray treefrog, Hyla chrysoscelis: call duration and call rate. We recorded males on multiple nights calling spontaneously and in response to playbacks simulating different competition levels. Call duration, call rate, and their product, call effort, were all repeatable both within and across social contexts. Call duration and call rate covaried negatively, and the largest covariance was at the among-individual level. There was extensive plasticity in calling with changes in social competition, and we found some evidence for among-individual variance in call rate plasticity. The significant negative among-individual covariance in trait values is perpendicular to the primary direction of sexual selection in this species, indicating potential limits on the response to selection.
Reconstructing the Genetic Relationship between Ancient and Present-Day Siberian Populations
Authors: Gill Haechan , Lee Juhyeon , Jeong Choongwon 
Published: March 2024

Abstract
Human populations across a vast area in northern Eurasia, from Fennoscandia to Chukotka, share a distinct genetic component often referred to as the Siberian ancestry. Most enriched in present-day Samoyedic-speaking populations such as Nganasans, its origins and history still remain elusive despite the growing list of ancient and present-day genomes from Siberia. Here, we reanalyze published ancient and present-day Siberian genomes focusing on the Baikal and Yakutia, resolving key questions regarding their genetic history. First, we show a long-term presence of a unique genetic profile in southern Siberia, up to 6,000 yr ago, which distinctly shares a deep ancestral connection with Native Americans. Second, we provide plausible historical models tracing genetic changes in West Baikal and Yakutia in fine resolution. Third, the Middle Neolithic individual from Yakutia, belonging to the Belkachi culture, serves as the best source so far available for the spread of the Siberian ancestry into Fennoscandia and Greenland. These findings shed light on the genetic legacy of the Siberian ancestry and provide insights into the complex interplay between different populations in northern Eurasia throughout history.
Associations Between Onset Age of Orthostatic Hypotension and Incident Myocardial Infarction, Stroke, and Dementia: A Prospective Cohort Study
Authors: Liang Jie , Zhang Wenya , Pan Yang , Gao Darui , Wang Yongqian , Xie Wuxiang , Zheng Fanfan 
Published: March 2024

Abstract

Background
The associations of age at orthostatic hypotension onset with incident myocardial infarction (MI), stroke, and dementia remain unknown. This study aimed to examine whether younger onset age of orthostatic hypotension was associated with higher risks of incident MI, stroke, and dementia.

Methods
Data were obtained from the UK Biobank. Information on the diagnosis of orthostatic hypotension, MI, stroke, and dementia was collected at baseline (2006–2010) and follow-ups (median = 13 years). The propensity score matching method and the Cox proportional hazard models were employed.

Results
A total of 448 374 adults (mean age: 56.8 ± 8.1 years), of whom 3 795 had orthostatic hypotension, were included. orthostatic hypotension patients exhibited higher risks of developing MI, stroke, and dementia than non-orthostatic hypotension participants. Importantly, among orthostatic hypotension patients, younger onset age (per 10-year decrement) was significantly associated with high risks of MI (HR = 3.15, 95% CI: 2.54–3.90, p &lt; .001), stroke (HR = 1.72, 95% CI: 1.33–2.23, p &lt; .001), and dementia (HR = 1.26, 95% CI: 1.02–1.57, p = .034). After propensity score matching, orthostatic hypotension patients had significantly higher risks of MI, stroke, and dementia than matched controls among all onset age groups, and the HRs gradually increased with descending onset age.

Conclusions
Younger onset age of orthostatic hypotension was associated with higher risks of incident MI, stroke, and dementia, underscoring the necessity to pay additional attention to the cardiovascular health and neurocognitive status of individuals diagnosed with orthostatic hypotension at younger ages to attenuate subsequent risks of incident cardiovascular diseases and dementia.
Affinity targeting of therapeutic proteins to the bone surface—local delivery of sclerostin–neutralizing antibody enhances efficacy
Authors: Zhang Boya , Swanson William Benton , Durdan Margaret , Livingston Heather N , Dodd Michaela , Vidanapathirana Sachith M , Desai Alec , Douglas Lindsey , Mishina Yuji , Weivoda Megan , Greineder Colin F 
Published: March 2024

Abstract
Currently available biotherapeutics for the treatment of osteoporosis lack explicit mechanisms for bone localization, potentially limiting efficacy and inducing off-target toxicities. While various strategies have been explored for targeting the bone surface, critical aspects remain poorly understood, including the optimal affinity ligand, the role of binding avidity and circulation time, and, most importantly, whether or not this strategy can enhance the functional activity of clinically relevant protein therapeutics. To investigate, we generated fluorescent proteins (eg, mCherry) with site-specifically attached small molecule (bisphosphonate) or peptide (deca-aspartate, D10) affinity ligands. While both affinity ligands successfully anchored fluorescent protein to the bone surface, quantitative radiotracing revealed only modest femoral and vertebral accumulation and suggested a need for enhanced circulation time. To achieve this, we fused mCherry to the Fc fragment of human IgG1 and attached D10 peptides to each C-terminus. The mCherry-Fc-D10 demonstrated an ~80-fold increase in plasma exposure and marked increases in femoral and vertebral accumulation (13.6% ± 1.4% and 11.4% ± 1.3% of the injected dose/g [%ID/g] at 24 h, respectively). To determine if bone surface targeting could enhance the efficacy of a clinically relevant therapeutic, we generated a bone-targeted sclerostin-neutralizing antibody, anti-sclerostin-D10. The targeted antibody demonstrated marked increases in bone accumulation and retention (20.9 ± 2.5% and 19.5 ± 2.5% ID/g in femur and vertebrae at 7 days) and enhanced effects in a murine model of ovariectomy-induced bone loss (bone volume/total volume, connectivity density, and structure model index all increased [P &lt; .001] vs untargeted anti-sclerostin). Collectively, our results indicate the importance of both bone affinity and circulation time in achieving robust targeting of therapeutic proteins to the bone surface and suggest that this approach may enable lower doses and/or longer dosing intervals without reduction in biotherapeutic efficacy. Future studies will be needed to determine the translational potential of this strategy and its potential impact on off-site toxicities.
Supplementing a Paper Questionnaire with Web and Two-Way Short Message Service (SMS) Surveys
Authors: Spiegelman Maura , Zotti Allison , Merlin Julia 
Published: March 2024

Abstract
When deciding which modes to offer, researchers consider cost, known respondent contact information, and potential mode effects. For a short survey on employment, we evaluate the effect of adding one of two new electronic data collection modes to a mailed questionnaire. We sent a survey to principals who previously responded to the National Center for Education Statistics’ (NCES) National Teacher and Principal Survey (NTPS) asking about their current job status. This questionnaire, known as the Principal Follow-up Survey (PFS), has typically been administered as a short paper form that is mailed to NTPS respondents. In 2022, the PFS introduced two new modes of completion, and principals were randomly assigned to receive: (i) a paper form only; (ii) a paper form, as well as emails with a direct link to complete a web survey; or (iii) a paper form, as well as invitations by text message to complete an automated two-way short message service text survey by responding to texted “yes/no” questions. This article compares overall response rates and time-to-response by mode to determine respondent preferences for completing short surveys. Adding either electronic mode significantly increased response rates and decreased the number of days in which completed surveys were received, compared to offering only a paper questionnaire. Although email and text messages are both forms of electronic communication that may be accessible on a smartphone, the added text message survey resulted in higher response rates than the added web survey. This suggests that respondents interact differently with emails and text messages they receive and that offering an option to complete a survey by text message can increase the speed and efficiency of data collection for short surveys.
Shaping leaves through TALE homeodomain transcription factors
Authors: Byrne Mary E , Imlay Eleanor , Ridza Nazuratul Nabilah Binti 
Published: March 2024

Abstract
The first TALE homeodomain transcription factor gene to be described in plants was maize knotted1 (kn1). Dominant mutations in kn1 disrupt leaf development, with abnormal knots of tissue forming in the leaf blade. kn1 was found to be expressed in the shoot meristem but not in a peripheral region that gives rise to leaves. Furthermore, KN1 and closely related proteins were excluded from initiating and developing leaves. These findings were a prelude to a large body of work wherein TALE homeodomain proteins have been identified as vital regulators of meristem homeostasis and organ development in plants. KN1 homologues are widely represented across land plant taxa. Thus, studying the regulation and mechanistic action of this gene class has allowed investigations into the evolution of diverse plant morphologies. This review will focus on the function of TALE homeodomain transcription factors in leaf development in eudicots. Here, we discuss how TALE homeodomain proteins contribute to a spectrum of leaf forms, from the simple leaves of Arabidopsis thaliana to the compound leaves of Cardamine hirsuta and species beyond the Brassicaceae.
Recent advances in UV-B signalling: interaction of proteins with the UVR8 photoreceptor
Authors: Liu Wei , Jenkins Gareth I 
Published: March 2024

Abstract
The UV RESISTANCE LOCUS 8 (UVR8) photoreceptor mediates many plant responses to UV-B and short wavelength UV-A light. UVR8 functions through interactions with other proteins which lead to extensive changes in gene expression. Interactions with particular proteins determine the nature of the response to UV-B. It is therefore important to understand the molecular basis of these interactions: how are different proteins able to bind to UVR8 and how is differential binding regulated? This concise review highlights recent developments in addressing these questions. Key advances are discussed with regard to: identification of proteins that interact with UVR8; the mechanism of UVR8 accumulation in the nucleus; the photoactivation of UVR8 monomer; the structural basis of interaction between UVR8 and CONSTITUTIVELY PHOTOMORPHOGENIC 1 (COP1) and REPRESSOR OF UV-B PHOTOMORPHOGENESIS (RUP) proteins; and the role of UVR8 phosphorylation in modulating interactions and responses to UV-B. Nevertheless, much remains to be understood, and the need to extend future research to the growing list of interactors is emphasized.
Beyond content: discriminatory power of function words in text type classification
Authors: Venglařová Klára , Matlach Vladimír 
Published: March 2024

Abstract
Our work aims to evaluate the strength of the association between function words and several text types: novels, poems, academic articles, reviews, and blog posts, and the accuracy of their classification to these categories, through machine-learning and statistical methods. The principal conclusion is that the types of texts are distinguishable based only on the function words, either by vocabulary or vocabulary diversity. Such findings may impact the techniques of authorship attribution based on function words and text clustering techniques since some function words add information about the text types/genres, in addition to content words.
Data Management in Multicountry Consortium Studies: The Enterics For Global Health (EFGH) Shigella Surveillance Study Example
Authors: Feutz Erika , Biswas Prasanta K , Ndeketa Latif , Ogwel Billy , Onwuchekwa Uma , Sarwar Golam , Sultana Shazia , Peñataro Yori Pablo , Acebedo Alyssa , Ahmed Naveed , Ahmed Imran , Atlas Hannah E , Awuor Alex O , Bhuiyan Md Amirul Islam , Conteh Bakary , Diawara Oualy , Elwood Sarah , Fane Moussa , Hossen Md Ismail , Ireen Mahzabeen , Jallow Abdoulie F , Karim Mehrab , Kosek Margaret N , Kotloff Karen L , Lefu Clement , Liu Jie , Maguire Rebecca , Qamar Farah Naz , Ndalama Maureen , Ochieng John Benjamin , Okonji Caleb , Paredes Loyda Fiorella Zegarra , Pavlinac Patricia B , Perez Karin , Qureshi Sonia , Schiaffino Francesca , Traore Moussa , Tickell Kirkby D , Wachepa Richard , Witte Desiree , Cornick Jennifer , Jahangir Hossain M , Khanam Farhana , Olortegui Maribel Paredes , Omore Richard , Sow Samba O , Yousafzai Mohammad Tahir , Galagan Sean R 
Published: March 2024

Abstract

Background
Rigorous data management systems and planning are essential to successful research projects, especially for large, multicountry consortium studies involving partnerships across multiple institutions. Here we describe the development and implementation of data management systems and procedures for the Enterics For Global Health (EFGH) Shigella surveillance study—a 7-country diarrhea surveillance study that will conduct facility-based surveillance concurrent with population-based enumeration and a health care utilization survey to estimate the incidence of Shigella­-associated diarrhea in children 6 to 35 months old.

Methods
The goals of EFGH data management are to utilize the knowledge and experience of consortium members to collect high-quality data and ensure equity in access and decision-making. During the planning phase before study initiation, a working group of representatives from each EFGH country site, the coordination team, and other partners met regularly to develop the data management systems for the study.

Results
This resulted in the Data Management Plan, which included selecting REDCap and SurveyCTO as the primary database systems. Consequently, we laid out procedures for data processing and storage, study monitoring and reporting, data quality control and assurance activities, and data access. The data management system and associated real-time visualizations allow for rapid data cleaning activities and progress monitoring and will enable quicker time to analysis.

Conclusions
Experiences from this study will contribute toward enriching the sparse landscape of data management methods publications and serve as a case study for future studies seeking to collect and manage data consistently and rigorously while maintaining equitable access to and control of data.