bluuebunny/crossref_metadata_2025_split huggingface dataset:
Longitudinal stability of cortical grey matter measures varies across brain regions, imaging metrics, and testing sites in the ABCD study
Authors: Parsons Sam , Brandmaier Andreas M. , Lindenberger Ulman , Kievit Rogier 
Published: February 2024

Abstract
Magnetic resonance imaging (MRI) is a vital tool for the study of brain structure and function. It is increasingly being used in individual differences research to examine brain-behaviour associations. Prior work has demonstrated low test-retest stability of functional MRI measures, highlighting the need to examine the longitudinal stability (test-retest reliability across long timespans) of MRI measures across brain regions and imaging metrics, particularly in adolescence. In this study, we examined the longitudinal stability of grey matter measures (cortical thickness, surface area, and volume) across brain regions, and testing sites in the Adolescent Brain Cognitive Development (ABCD) study release v4.0. Longitudinal stability ICC estimates ranged from 0 to .98, depending on the measure, parcellation, and brain region. We used Intra-Class Effect Decomposition (ICED) to estimate between-subjects variance and error variance, and assess the relative contribution of each across brain regions and testing sites on longitudinal stability. In further exploratory analyses, we examined the influence of parcellation used (Desikan-Killiany-Tourville and Destrieux) on longitudinal stability. Our results highlight meaningful heterogeneity in longitudinal stability across brain regions, structural measures (cortical thickness in particular), parcellations, and ABCD testing sites. Differences in longitudinal stability across brain regions were largely driven by between-subjects variance, whereas differences in longitudinal stability across testing sites were largely driven by differences in error variance. We argue that investigations such as this are essential to capture patterns of longitudinal stability heterogeneity that would otherwise go undiagnosed. Such improved understanding allows the field to more accurately interpret results, compare effect sizes, and plan more powerful studies.
Law-Science Nexus in International Law-Making
Authors: Dervovic Medy , Heinrich Katharina 
Published: February 2024

Abstract
Integrating science in the making and implementation of international and regional treaties emerges as an essential component of modern and future international law-making amidst profound climatic, geophysical, and biological changes worldwide. The interplay between science and law or the law-science nexus within, inter alia, the international legal frameworks on climate change, biodiversity, and fisheries offers different levels of integration of science. In practice, subsidiary scientific bodies play a key role in enabling the dialogue between scientists and law/policymakers. However, persisting challenges remain, hampering the optimal implementation of the law-science nexus. Against this background and with comparative perspectives from the 2018 Central Arctic Ocean Fisheries Agreement, which entered into force in 2021, this article explores the evolution of the law-science nexus in international law-making. Furthermore, it highlights current challenges, namely the politicization of science and scientific uncertainty, and identifies opportunities to enhance this interplay. In shedding light on the importance of building an efficient law-science nexus, this article aims to inspire future international law-making to strengthen global and regional governance.
That is not done
Authors: Aijón Oliva Miguel A. 
Published: February 2024

Abstract
Spanish third-person reflexive clitic se allows for passive and impersonal uses that can sometimes be pragmatically interpreted as directive in spite of their declarative form, e.g. Eso no se hace ‘That is not done’. This paper explores the grammatical, semantic and referential factors that promote such an interpretation, using a corpus of oral and written Peninsular media discourse and adopting a qualitative approach. Deontic readings are shown to be connected with more general uses of reflexive constructions as evidential and/or modal markers. Agent defocusing and imperfective verbal aspect construct an objective viewpoint of discourse whereby the event is detached from particular communicative circumstances. At the same time, contextual elements acting as space builders counter such objectivity by guiding the interpretation of the utterance as primarily concerning the direct participants. The analysis suggests that the inherent meanings of grammatical constructions are at the basis of their pragmatic potential in specific contexts.
Estimating Hydrological Regimes from Observational Soil Moisture, Evapotranspiration, and Air Temperature Data
Authors: Koster R. D. , Feldman A. F. , Holmes T. R. H. , Anderson M. C. , Crow W. T. , Hain C. 
Published: February 2024

Abstract
Evapotranspiration has long been understood to vary with soil moisture in drier regions and to be relatively insensitive to soil moisture in wetter regions. A number of recent studies have quantified this behavior with various model and observational datasets. However, given the disparate approaches and datasets used, uncertainty persists in how the underlying relationships vary in space and time. Here we complement the existing studies by analyzing two datasets as yet untapped for this purpose: a satellite-based evapotranspiration E product retrieved using geostationary thermal imagery and a meteorological-station-based dataset of daily 2-m air temperature (T2M) diurnal amplitudes. Both datasets are analyzed synchronously with soil moisture from the Soil Moisture Active Passive (SMAP) satellite. We thereby derive maps of evaporative regimes that vary in space and time as one might expect, that is, the water-limited regime grows eastward across the conterminous United States as spring moves into summer, only to shrink again going into winter. The relationship between the E and soil moisture data appears particularly tight, which is encouraging given that the E data (like the T2M data) were not constructed using any soil moisture information whatsoever. The general agreement between the two independent sets of results gives us confidence that the generated maps correctly represent, to first order, evaporative regime behavior in nature. The T2M results have the added benefit of highlighting the significant connection between soil moisture and overlying air temperature, a connection relevant to T2M predictability.

Significance Statement
When a soil is somewhat dry, an increase in soil moisture can lead to an increase in evapotranspiration E. In contrast, when a soil is wet, E is limited instead by the availability of energy. Determining where E is water limited, energy limited, or some combination of both is important because it tells us where accurate soil moisture initialization in a forecast system might contribute to more accurate forecasts of E and thus air temperature. Here we use a combination of independent datasets (satellite-derived estimates of soil moisture and E as well as air temperature measurements from weather stations) to provide new monthly maps of the water-limited, energy-limited, and combination regimes over the continental United States and across the world.
Regional Cloud Forecast Verification Using Standard, Spatial, and Object-Oriented Methods
Authors: Christophersen H. , Nachamkin J. , Davis W. 
Published: February 2024

Abstract
This study assesses the accuracy of the Coupled Ocean–Atmosphere Mesoscale Prediction System (COAMPS) forecasts for clouds within stable and unstable environments (thereafter refers as “stable” and “unstable” clouds). This evaluation is conducted by comparing these forecasts against satellite retrievals through a combination of traditional, spatial, and object-based methods. To facilitate this assessment, the Model Evaluation Tools (MET) community tool is employed. The findings underscore the significance of fine-tuning the MET parameters to achieve a more accurate representation of the features under scrutiny. The study’s results reveal that when employing traditional pointwise statistics (e.g., frequency bias and equitable threat score), there is consistency in the results whether calculated from Method for Object-Based Diagnostic Evaluation (MODE)-based objects or derived from the complete fields. Furthermore, the object-based statistics offer valuable insights, indicating that COAMPS generally predicts cloud object locations accurately, though the spread of these predicted locations tends to increase with time. It tends to overpredict the object area for unstable clouds while underpredicting it for stable clouds over time. These results are in alignment with the traditional pointwise bias scores for the entire grid. Overall, the spatial metrics provided by the object-based verification methods emerge as crucial and practical tools for the validation of cloud forecasts.

Significance Statement
As the general Navy meteorological and oceanographic (METOC) community engages in collaboration with the broader scientific community, our goal is to harness community tools like MET for the systematic evaluation of weather forecasts, with a specific focus on variables crucial to the Navy. Clouds, given their significant impact on visibility, hold particular importance in our investigations. Cloud forecasts pose unique challenges, primarily attributable to the intricate physics governing cloud development and the complexity of representing these processes within numerical models. Cloud observations are also constrained by limitations, arising from both top-down satellite measurements and bottom-up ground-based measurements. This study illustrates that, with a comprehensive understanding of community tools, cloud forecasts can be consistently verified. This verification encompasses traditional evaluation methods, measuring general qualities such as bias and root-mean-squared error, as well as newer techniques like spatial and object-based methods designed to account for displacement errors.
Agricultural Crisis, Farms Laws, and Farmers’ Protest: Reflection on its Rollback and Implication
Authors: Behera Minaketan 
Published: February 2024

Agriculture has been brought to the forefront of policymaking, parliamentary debate, and political discussions in recent history. India’s Parliament recently voted to scrap agricultural reform laws which came up as a huge victory for the farmers’ movement, who have been protesting for over a year for the rollback of the laws. This farmers’ movement created history at the national and international levels in the present times. The government had passed three farm laws to transform agriculture and increase farmer income without detailed consultations with all stakeholders. This led to protests by the farmer community by blocking roads and highways, calling an All-India Bandh, which attracted public attention and brought weight to the farmer issues, leading to achievement for the ‘Annadatas’ of the country. The article discusses the predicaments of the agriculture sector, the problems of the farmers, critical analysis of the three Farm laws, their implementation, implications and finally, its rollback. The reasons for this move have been examined from the political and economic angle with a reflection on its rollback for the future. JEL Codes: Q18, Q10, Q13, Q15
Management of Immunosuppressive Therapy in Kidney Transplant Recipients with Sepsis: A Multicenter Retrospective Study
Authors: Kim Hyung Duk , Chung Byung Ha , Yang Chul Woo , Kim Seok Chan , Kim Kyung Hoon , Kim Shin Young , Kim Kyu Yean , Lee Jongmin 
Published: February 2024

Background Up to 6% of kidney transplant recipients (KTRs) experience life-threatening complications requiring intensive care unit (ICU) admission, and one of the most common medical complications requiring ICU admission is infection. This study aimed to evaluate the effect of immunosuppressive therapy (IST) modification on prognosis of KTRs with sepsis. Methods We conducted a multicenter retrospective study in 4 university-affiliated hospitals to evaluate the effect of adjusting the IST in KTRs with sepsis. Only patients who either maintained IST after ICU admission or those who underwent immediate (within 24 h of ICU admission) reduction or withdrawal of IST following ICU admission were included in this study. “Any reduction” was defined as a dosage reduction of any IST or discontinuation of at least 1 IST. “Complete withdrawal of IST” was defined as concomitant discontinuation of all ISTs, except steroids. Results During the study period, 1596 of the KTRs were admitted to the ICU, and 112 episodes of sepsis or septic shock were identified. The overall in-hospital mortality rate was 35.7%. In-hospital mortality was associated with higher sequential organ failure assessment score, simplified acute physiology score 3, non-identical human leukocyte antigen relation, presence of septic shock, and complete withdrawal of IST. After adjusting for potential confounding factors, complete withdrawal of IST remained significantly associated with in-hospital mortality (adjusted coefficient, 1.029; 95% confidence interval, 0.024-2.035) and graft failure (adjusted coefficient, 2.001; 95% confidence interval, 0.961-3.058). Conclusions Complete IST withdrawal was common and associated with worse outcomes in critically ill KTRs with sepsis.
Ethical climate, moral resilience, and ethical competence of head nurses
Authors: Yu Qiang , Huang Chongmei , Yan Jin , Yue Liqing , Tian Yusheng , Yang Jiaxin , Li Xuting , Li Yamin , Qin Yuelan 
Published: February 2024

Background The ethical competence of head nurses plays a pivotal role in nursing ethics. Ethical climate is a prerequisite for ethical competence, and moral resilience can positively influence an individual’s ethical competence. However, few studies have focused on the relationship between ethical climate, moral resilience, and ethical competence among them. Objectives To investigate the relationship between ethical climate, moral resilience, and ethical competence, and examine the mediating role of moral resilience between ethical climate and ethical competence among head nurses. Design A quantitative, cross-sectional study. Methods A total of 309 Chinese head nurses completed an online survey, including ethical climate questionnaire, Rushton moral resilience scale, and ethical competence questionnaire. Inferential statistical analysis includes Pearson’s correlation and a structural equation model. Ethical considerations This study received ethical approval from the Institutional Review Board of Xiangya Nursing School of Central South University (No. E2023146). Results Head nurses’ ethical climate score positively impacted ethical competence (r = 0.208, p < .001), and ethical climate could affect ethical competence through the mediating role of moral resilience. Conclusion This study emphasized the value of ethical climate in moral resilience of head nurses, ultimately leading to an enhancement in their ethical competence.
When Persuasion Is Too Persuasive: An Empirical Analysis of Product Returns in Livestream e-Commerce
Authors: Feng Xiaojing , Rong Ying , Tian Xin , Wang Mengmeng , Yao Yuliang 
Published: February 2024

Livestream e-commerce features live social interactions that enable real-time, face-to-text communications among a streamer and many customers. We posit such live social interactions generate persuasion effect that eventually leads to higher product returns. Using data from a leading livestream e-commerce firm, we compare the product returns between live sessions with rerun sessions where the only difference is the presence of live social interactions in live sessions but not in rerun sessions, and develop econometric models to estimate the effect of live social interaction intensity on product returns. We find that product returns are higher for the live sessions than for the rerun sessions, and that the magnitude of the effect increases with live social interaction intensity, confirming the adverse persuasion effect in livestream e-commerce. We also find that the persuasion effect of live social interactions on product returns is stronger when the streamer has more experience in hosting livestream sessions and the product price is lower. We estimate that one standard deviation increase in live social interaction intensity can increase the product return rates by as much as 11.68 percentage points in terms of absolute product return rates, which is more than 30% of the average product return rates. Robustness checks, theoretical and managerial implications are also discussed.
Feline comorbidities: hypersomatotropism-induced diabetes in cats
Authors: Scudder Christopher , Church David 
Published: February 2024

Practical relevance: Diabetes mellitus is the second-most common feline endocrinopathy, affecting an estimated 1/200 cats. While the underlying causes vary, around 15-25% of cats with diabetes mellitus develop the condition secondarily to progressive growth hormone (GH)-induced insulin resistance. This typically results in a form of diabetes that is challenging to manage, whereby the response to insulin is very variable or high doses are required to achieve even minimal diabetic control. Clinical challenges: Although uncontrolled chronic excessive GH may result in phenotypic changes that raise suspicion for acromegaly, many cats with hypersomatotropism (HST) do not have these changes. In these situations, a clinician's index of suspicion may be increased by the presence of less dramatic changes such as marked polyphagia, stertor or uncontrolled diabetes mellitus. The current diagnostic test of choice is demonstration of a markedly increased serum insulin-like growth factor 1 (IGF1) concentration, but some affected cats will have only a marginal increase; additionally, chronic insulin administration in cats results in an increase in serum IGF1, making the diagnosis less clear cut and requiring additional confirmatory tests. Evidence base: Over the past two decades, HST has increasingly been recognised as an underlying cause of diabetes mellitus in cats. This review, which focuses on diagnosis and treatment, utilises data from observational studies, clinical trials and case series, as well as drawing on the experience of the authors in managing this condition.
Evaluation of 9 IOL power calculation formulas using a heteroscedastic statistical method and a new method of IOL constant optimization
Authors: Romero-Valero Daniel , Cárceles Alicia , Alió Jorge L , Monera Lucas Carlos E. , Moya Martínez Alejandro , Martínez-Toldos Jose Juan 
Published: February 2024

Purpose To evaluate the prediction accuracy of 9 IOL power calculation formulas using a heteroscedastic statistical analysis and a novel method for IOL constant optimization. Design Retrospective case series. Methods The LenStar LS900 (Haag-Streit, Koeniz, Switzerland) was used for the preoperative biometry. The predicted SE refraction of the implanted IOL were calculated for: Barrett Universal II, EVO-2.0, Hill RBF-3.0, Hill-RBF 2.0, Kane, PEARL-DGS, SRK-T, Hoffer-Q and Holladay-1. IOL constants were optimized prior to the analysis. A heteroscedastic statistical method was used to compare the standard deviation (SD) of prediction errors (PE). Results Two hundred seventy-eight eyes of 278 patients were included. The SD of the Kane was 0.4214D and was the lowest in this database. The SD of the PE of the Kane and EVO 2.0 were significantly lower than the SRK-T, Holladay 1, and Hoffer-Q. The SD of the PE of the PEARL formula was significantly lower than the SRK-T and Hoffer-Q. The SD of the PE of the Hill-RBF 3.0 was not significantly different to the Hill-RBF 2.0, Kane, EVO 2.0, Barrett Universal II and PEARL. No significant difference was found between the SD of the PE of the new generation formulas analysed. Conclusions the lowest SD of the prediction error was provided by Kane, followed by EVO 2.0 and PERL-DGS formulas. However, no statistically significant differences were found between the SD of the PE of new generation formulas. Further studies are necessary to evaluate the accuracy of these formulas in extreme eyes.
Smartphone applications for remote patient monitoring reduces clinic utilization after full-endoscopic spine surgery
Authors: Leyendecker Jannik , Prasse Tobias , Bieler Eliana , Yap Natalie , Eysel Peer , Bredow Jan , Hofstetter Christoph P. ,   Members of the Endoscopic Spine Research Group (ESRG)
Published: February 2024

Introduction The rising number of outpatient spine surgeries creates challenges in postoperative management and care. Telemedicine offers a unique opportunity to reduce in-person clinic visits and improve resource allocation. We aimed to investigate the impact of a validated smartphone application on clinic utilization following full-endoscopic spine surgery (FESS). Methods We evaluated patients undergoing FESS from 2020 to 2022 and a pre-COVID control group (CG) from 2018 to 2019. Subsequently, we divided the patients into three groups: one using the application (intervention group, IG), and two CGs (2020–2022, CG and 2018–2019, historical control group (HG)). We analyzed the post-surgical hospitalization rate, all follow-ups, and virtually transmitted patient-reported outcomes. Results A total of 115 patients were included in the IG. The CG consisted of 137 and the HG of 202 patients (CG and HG in the following). Group homogeneity was satisfactory regarding patient age ( p = 0.9), sex ( p  = 0.88), and body mass index ( p  = 0.99). IG patients were treated as outpatients significantly more often [14.78% vs. 29.2% vs. 37.62% ( p  < 0.001)]. Additionally, IG patients showed significantly higher follow-up compliance [74.78% vs. 40.14% vs. 37.13% ( p  < 0.001)] 3-month post-surgery and fewer in-patient follow-up visits [(0.5 ± 0.85 vs. 1.32 ± 0.8 vs. 1.33 ± 0.7 ( p  < 0.001)]. Conclusion Our results underline the feasibility, efficacy, and safety of remote patient monitoring following FESS. Furthermore, they highlight the opportunity to implement a virtual wound checkup, and to substantially improve postoperative follow-up compliance via telemedicine.