bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimation of Monthly Water Table Depth Anomalies Based on the Integration of GRACE and ERA5-Land with Large-Scale Simulations Using Random Forest and LSTM Networks
Authors: Avila Leandro , de Lavenne Alban , Ramos Maria-Helena , Kollet Stefan 
Published: January 2025

Abstract
Increasing pressure on groundwater resources, exacerbated by climate change, highlights the need to develop advanced methods for monitoring groundwater storage and levels. While numerical and physics-based models are widely used to analyze the spatial and temporal dynamics of groundwater levels, they require extensive input data and can be computationally expensive for high-resolution and large-scale simulations. In contrast, remote sensing products such as the Gravity Recovery and Climate Experiment (GRACE) provide global-scale information on total water storage anomalies. However, due to its coarse spatial resolution (0.25
$$^{\circ }$$
), GRACE data cannot be used directly to assess groundwater conditions at local and regional scales. In order to obtain local groundwater levels that can be quickly accessed by stakeholders to monitor and define appropriate groundwater management, this study implements a methodology based on data-driven models to estimate monthly water table depth anomalies (wtda), integrating simulations from the Terrestrial Systems Modeling Platform (TSMP) with GRACE and reanalysis ERA5-Land datasets. Considering the spatial resolution of current TSMP simulations (TSMP-G2A - 0.11 degrees), we tested and compared multiple Random Forest (RF) and LSTM networks at the pixel scale over the Seine River Basin, combining different hydrological and climatological variables with GRACE as input features. For each data-driven approach, we selected the model that best represents the temporal pattern of the wtda during the test period and compared the results with the original TSMP simulation, as well as in-situ groundwater observations. The results indicate that both RF and LSTM networks can well reproduce the temporal patterns of groundwater levels across the Seine Basin obtained by the TSMP simulations, with average Pearson correlations of 0.65 and average KGE of 0.6, respectively. A comparison with multiple groundwater wells allowed us to identify the regions where the applied models are more reliable for representing wtda over the Seine River Basin. In general, the proposed models show good agreement with in-situ observations, independent of the groundwater well depth. However, we found significant differences between observed and simulated water table depths in the downstream regions of the Seine River Basin, where coastal systems and the presence of karst in the chalk might influence groundwater levels and the performance of the adopted models, respectively. The proposed methods provide end users with an extremely lightweight reconstruction and prediction tool for wtda at the pixel level, including reliability estimates, which is easy to implement in an ad hoc fashion in any evaluation and groundwater management workflow.
Modeling tritium release to the atmosphere during the Fukushima Daiichi Nuclear Power Plant accident and application to estimating post-accident water system transit times
Authors: Cauquoin Alexandre , Gusyev Maksym , Bong Hayoung , Okazaki Atsushi , Yoshimura Kei 
Published: January 2025

Abstract
During the Fukushima Daiichi Nuclear Power Plant (FDNPP) accident on March 11, 2011, radionuclides such as tritium were released into the environment across Japan, obscuring the natural background signal of tritium in precipitation. This anthropogenic component was rapidly washed out by precipitation according to measurements in Japan. However, the impact of the accident on the natural tritium-based estimation of water system transit times in Fukushima and other prefectures in Japan remains uncertain. For the first time, anthropogenic tritium from the FDNPP accident together with natural tritium were simulated in an atmospheric general circulation model with a good ability to represent tritium variations in daily and monthly precipitation. For the FDNPP accident, we estimate the maximum tritium atmospheric emission of 0.815 PBq with a tritium in precipitation peak of 68.7 Bq/L (582 tritium units) on March 2011 at Fukushima, which are consistent with previous estimations. Using our modeled outputs with tritium measurements, we improve tritium-tracer application for estimating mean transit times of Fukushima surface and groundwater systems impacted by the anthropogenic tritium from the FDNPP accident. While the anthropogenic impact of the FDNPP accident was limited compared to the tritium peak due to the thermonuclear testing, globally modeled tritium in precipitation is useful to apply for other areas of tritium-tracer studies.
Sunlight promotes aboveground carbon loss by producing polysaccharides from litter decomposition in a temperate forest
Authors: Chang Lu , Deng Jiaojiao , Zhang Juanjuan , Fu Qinglong , Wang Tao , Osono Takashi , Peng Huan , Robson Thomas Matthew , Kurokawa Hiroko , Wang Qing-Wei 
Published: January 2025

Abstract
Photodegradation is considered as a universal contributing factor to litter decomposition and carbon (C) cycling within the Earth’s biomes. Identifying how solar radiation modifies the molecular structure of litter is essential to understand the mechanism controlling its decomposition and reaction to shifts in climatic conditions and land-use. In this study, we performed a spectral-attenuation experiment following litter decomposition in an understory and gap of a temperate deciduous forest. We found that short-wavelength visible light, especially blue light, was the main factor driving variation in litter molecular structure of Fagus crenata Blume, Quercus crispula Blume, Acer carpinifolium Siebold & Zuccarini and Betula platyphylla Sukaczev, explaining respectively 56.5%, 19.4%, 66.3%, and 16.7% of variation in its chemical composition. However, the variation also depended on canopy openness: Only in the forest gap was lignin aromatic C negatively associated with C-oxygen (C–O) bonding in polysaccharides receiving treatments containing blue light of the full spectrum of solar radiation. Regardless of species, the decomposition index of litter that explained changes in mass and lignin loss was driven by the relative content of C–O stretching in polysaccharides and lignin aromatic C. The results suggest that the availability of readily degradable polysaccharides produced by the reduction in lignin aromatic C most plausibly explains the rate of litter photodegradation. Photo-products of photodegradation might augment the C pool destabilized by the input of readily degradable organic compounds (i.e., polysaccharides).
Psychometric evaluation of the Chinese version of self- and social recognition scales: exploring well-being and career development of young adults amidst economic constraints and marginalization
Authors: Su Xuebing , Wong Victor , Rossier Jérôme , Atitsogbe Kokou A. 
Published: January 2025

Abstract
Informed by Axel Honneth’s recognition theory, the Self- and Social Recognition Scales were initially developed in Western contexts to measure the acknowledgment individuals receive from themselves and others within a specific society. However, there is no Chinese version of these scales. This study aims to assess the psychometric properties of the Chinese version of the Self- and Social Recognition Scales and examine the links of self- and social recognition with the well-being and career development of Chinese young adults, considering the influence of economic constraints and marginalization. A cross-sectional survey was conducted in Hong Kong from October to November 2022, involving 1,016 university students aged 18–29. Exploratory and confirmatory factor analyses supported a three-factor-11-item structure for the Self- and Social Recognition Scales. The findings distinguished self- and social recognition from self-judgment. The scales exhibited satisfactory internal consistency. Overall, the Chinese version of these scales displayed adequate psychometric properties, supporting their future use in Chinese contexts. Moreover, the findings of this study demonstrated the mediating roles played by self- and social recognition in a structural equation model explaining how economic constraints and marginalization influence young adults’ well-being and career development. The findings of this study suggested the potential for utilizing self- and social recognition in career support services to mitigate the adverse effects of contextual constraints on the well-being and career development of young adults. (224 words)
An Efficient, Organic Solvent-Free Method for Extraction and Concentration of Hepatitis E Virus from Pig Liver
Authors: Santamaría-Palacios Jorge , García Nerea , Rodríguez-Lázaro David 
Published: January 2025

Abstract
The presence of the hepatitis E virus (HEV) in pork products, particularly in pig liver has been frequently described. However, a standardized method is not still available for the detection of HEV in foods, particularly in those difficult food matrixes such as pig meat and pork products. The aim of this study was to design, optimize and evaluate a new method of food-separation and virus concentration for HEV in pig liver samples. This method is based on organic flocculation and avoids the use of organic solvents. The virus recovery rates and analytical sensitivity of the method using murine norovirus MNV-1 as a surrogate were 73.6–82.2% and at least 1 × 103 TCID50 per g of liver in 100% of the replicates, respectively. Furthermore, this new methodology was validated by testing the presence of HEV RNA in naturally infected pig liver samples, comparing it with two other commonly used concentration methods. The new extraction method run satisfactory in comparison with the two reference methods; statistically equivalent (p < 0.05) to one of the methods used while presented statistically significant better results (p < 0.05) compared to the second method. Consequently, our results indicate that the new extraction method can be an adequate cost-effective and ecologically friendly alternative for the food separation and concentration of HEV RNA in pig liver samples.
Adversity, Trauma Symptoms and the Effectiveness of an Australian Individualised Developmental Trauma Intervention Program
Authors: Smith Pamela , Sharmin Sonia , Ambry Dallas , Cox Allison , Hambrick Erin , Frederico Margarita , Mosse Holly 
Published: January 2025

Abstract
This study evaluated the effectiveness of a therapeutic intervention program Take Two; designed to address developmental trauma experienced by Child Protection clients in Victoria, Australia. Replicating a 2010 evaluation study of the program, we utilised a Time 1—Time 2 design to identify the impact of tailored Take Two treatments informed by the Neurosequential Model of Therapeutics’ (NMT™). Change in the overall sample was measured by the Trauma Symptom Checklist for Children (TSCC; ages 8–16 years) and Trauma Symptom Checklist for Young Children (TSCYC; ages 3—12 years). In addition, a sub-cohort of children with severe adverse infant experiences was identified using a developmental history of adversity tool; Part A of the Neurosequential Network’s Neurosequential Model of Therapeutics (NMT™) Metric. Treatment effects were also evaluated to determine the extent to which this potentially more vulnerable subgroup was improving. Significant improvement was found in the TSCC cohort (8–16 years) with effect sizes ranging from small to medium (d = 0.23–0.54) on TSCC sub-scales. The largest effects were found on Anxiety (0.54), which moved from sub-clinical to non-clinical. The TSCYC cohort (3–12 years) showed significant symptom reduction on all trauma scales with medium sized effects (d = 0.44–0.53), and the largest effect on Posttraumatic Stress-Total (0.53). In the sub-cohort experiencing moderate-to-severe adversity in infancy, effect sizes were small to medium (d = 0.15–0.59). Take Two interventions were associated with significantly reduced trauma symptoms even when children’s adverse experiences in infancy were moderate to severe, highlighting the benefits of NMT™ guided systemic and individually tailored therapeutic interventions.
Ground Resolved Distance Estimation of Sentinel-2 Imagery Using Edge-based Scene-Driven Approach
Authors: Dadrass Javan Farzaneh , Samadzadegan Farhad , Toosi Ahmad , Schneider Mathias , Persello Claudio 
Published: January 2025

Abstract
Sentinel‑2 satellite provides freely accessible multispectral images used in various remote sensing (RS) applications, where spatial resolution is crucial. The Ground Sampling Distance (GSD) for Sentinel’s visible and near-infrared (VNIR) bands is specified at 10 meters, but it may not accurately reflect ground resolution due to environmental effects. As a result, Ground Resolved Distance (GRD) serves as an alternative measure for actual resolution, but information about Sentinel GRD is lacking, calibration targets are not always available, and GRD may vary across different tiles. This paper estimates Sentinel’s GRD using a scene-driven approach that analyzes the edges of natural targets, reducing the challenges associated with artificial targets. The method involves selecting suitable natural targets based on their geometric and spectral characteristics, sub-pixel edge extraction, estimating the Edge Spread Function (ESF), generating the Line Spread Function (LSF), and calculating the Full-width at Half Maximum (FWHM). Two tiles of Sentinel‑2 imagery from the Shadnagar Calibration Facility, India, and Baotou, China, were analyzed. The analysis of 40 natural targets revealed average GRD values of 12.65 m, 12.40 m, 12.49 m, and 12.58 m for the red, green, blue, and NIR bands, respectively, aligning closely with results from calibration targets. The method demonstrated high accuracy and precision with a total RMSE of approximately 0.77 m and a total standard deviation of 0.19 m, respectively.
African Studies, Forging Common Grounds: Languages, Scripts and Translation
Authors: Alidou Ousseina 
Published: January 2025

AbstractIn this presidential address I offer a critical examination of how Africa was misrepresented in the Global North’s imaginations and media reporting during the COVID-19 pandemic. Such biased imaginings of Africa as a site of inevitable catastrophe account for the racialized under-accounting of the history of African scientists’ pioneering success in biomedical research and with epidemics. The global archives of COVID-19 pandemics must acknowledge these scientists, as well as the humanistic contributions of African artists who collaborated with health experts and produced poetic/musical performances in local and world languages to tackle biomedical and social pandemics.
Motivating Reasons, Moral Culpability, and Criminal Law
Authors: Segev Re’em 
Published: January 2025

Abstract
Consider the following argument: (1) Whether, or the degree, persons are morally culpable ultimately depends on the (final) reasons that motivate their actions; (2) The degree to which persons are morally culpable should be a central concern of criminal law; (3) Criminal law in many countries focuses more on the beliefs and intentions of agents and less on their motivating reasons; therefore (4) Criminal law in many countries is unjust and should be revised. The premises of this argument are appealing and widely accepted, yet its conclusion is radical. Therefore, the argument is interesting and important. However, the argument is not entirely clear in several respects, and the attempt to clarify it reveals several significant (although not necessarily decisive) doubts regarding its soundness. In this paper, I examine these doubts as well as a related, more general, lesson concerning normative arguments about the law.
Knowing One’s Nature as Self-Knowledge
Authors: Glaser Matthew 
Published: January 2025

AbstractWhile many people think of self-knowledge as about having particular knowledge of oneself, and contemporary philosophers think of self-knowledge as about knowing one’s own mental states, historically, many thinkers have thought about self-knowledge as about knowing one’s nature. This is clear in Thomas Aquinas’s account of self-knowledge. Yet how is knowing one’s nature, which is one of the least individual aspects of oneself, self-knowledge rather than more general anthropological knowledge? This article defends the idea that there is a knowledge of one’s nature which qualifies as self-knowledge and not just anthropological knowledge. In particular, it defends Aquinas’s conception of self-knowledge in dialogue with contemporary epistemology and Leo Tolstoy’s ‘The Death of Ivan Ilyich’. It is argued that Aquinas’s account of self-cognition describes a first-personal knowledge of our nature which is self-knowledge insofar as it is acquired through reflection on one’s experience of oneself in contrast to third-personal anthropological knowledge.
The Elastic Ruler: Placebo Responses, Clinical Trials, and Medical Knowledge
Authors: Glackin Shane N. 
Published: January 2025

Abstract
This article first poses a skeptical challenge to clinical trials in medicine. The efficacy of treatments is measured against placebo, but placebo responses are not constant. They fluctuate with demographic variables, and they seem to be increasing over time. We therefore find ourselves measuring with the equivalent of what Wittgenstein termed an “elastic ruler.”
I then propose a “skeptical solution” to the problem. Elastic rulers are suitable tools for measuring dynamic, floating networks of values, like foreign currency exchanges. We can assuage the skeptical concerns by understanding clinical trials in this way; I suggest several practical guidelines for doing so.
A modeling radiocarbon dating for the founding of Yan Vassal State in Western Zhou Dynasty
Authors: Ouyang Xinyi , Wu Xiaohong , Wang Jing , Pan Yan , Lin YiHsien , He Jianing , Guo Jingning , Cui Jianfeng 
Published: January 2025

AbstractWestern Zhou Dynasty (ca. 1046–771 BC) was established soon after conquering the Shang Dynasty (ca. 1600–1046 BC) and brought about the earliest enfeoffment system in Chinese history. Yan was one of the vassal states of the same clan as Zhou. According to historical records, the capital of Yan state was located near Yan mountain, which is now known as the Liulihe site in the Fangshan District, Beijing. This study carries out the high-precision dating of two newly discovered Western Zhou Dynasty noble tombs at the Liulihe site. The man in tomb M1902 participated in the groundbreaking ceremony of Yan’s capital according to inscriptions on the bronze vessel found in this tomb. Samples of different materials, especially different parts of human skeletons from the tombs, were selected to form a sample series in chronological order. Wiggle-matching models were established in OxCal program based on the growth and development time of different teeth and bones of human skeletons. More accurate ages were acquired for the death of the individuals. The results indicate that the most probable distribution range of the death date of the individual in M1902 is about 1045–1010 BC. The radiocarbon dates of M1902 give important chronological information about the founding of Yan state, and they are very close to those of the year in which King Wu of Zhou conquered the Shang Dynasty.
Gender differences in the association between adherence to healthy diet principles and adherence to cardiopreventive medication among adults from Québec (Canada)
Authors: Leblay Lise , Lessard-Lord Jacob , Paquette Jean-Sébastien , Guénette Line , Drouin-Chartier Jean-Philippe 
Published: January 2025

Abstract
Adherence to healthy diet principles and to cardiopreventive medication, both key behaviours in CVD prevention, is known to differ between women and men. Whether these adherence behaviours are differentially related among women and men has never been thoroughly assessed. The objective was to assess gender differences in the association between adherence to healthy diet principles and to cardiopreventive medication in adults free of CVD. This cross-sectional study included 268 women and 204 men from the CARTaGENE cohort (Québec, Canada) who were using antihypertensive and/or cholesterol-lowering medication. Adherence to healthy diet principles was assessed using the Alternate Healthy Eating Index (AHEI, %), calculated from a validated FFQ assessing diet in the 12-month preceding its completion. Medication adherence was assessed using the daily pharmacotherapy possession rate (DPPR, %), calculated from prescription claim data over the same 12-month period. In multivariable-adjusted analyses, an inverse association between AHEI and DPPR was observed among men (βAHEI for 10 % increment in DPPR = –0·65 %; 95 % CI −1·28 %, −0·03 %; P = 0·04), while it tended to be positive among women (β = 0·44 %; 95 % CI −0·11 %, 1·00 %; P = 0·12; Pgender×DPPR = 0·01). The negative association between AHEI and DPPR was stronger among men who never smoked or used cholesterol-lowering medication only. Among women, the positive association was stronger and statistically significant among those with obesity or using ≥ 3 medications simultaneously. Association between adherence to healthy diet principles and to cardiopreventive medication differs between women and men, with men potentially facing greater challenges in achieving optimal complementarity between these two behaviours.
A decision-analytic method to evaluate the cost-effectiveness of remote monitoring technology for chronic depression
Authors: Sun Xiaonan , Wissow Lawrence , Liu Shan 
Published: January 2025

Abstract

Objectives
Advances in mobile apps, remote sensing, and big data have enabled remote monitoring of mental health conditions, but the cost-effectiveness is unknown. This study proposed a systematic framework integrating computational tools and decision-analytic modeling to assess cost-effectiveness and guide emerging monitoring technologies development.

Methods
Using a novel decision-analytic Markov-cohort model, we simulated chronic depression patients’ disease progression over 2 years, allowing treatment modifications at follow-up visits. The cost-effectiveness, from a payer’s viewpoint, of five monitoring strategies was evaluated for patients in low-, medium-, and high-risk groups: (i) remote monitoring technology scheduling follow-up visits upon detecting treatment change necessity; (ii) rule-based follow-up strategy assigning the next follow-up based on the patient’s current health state; and (iii–v) fixed frequency follow-up at two-month, four-month, and six-month intervals. Health outcomes (effects) were measured in quality-adjusted life-years (QALYs).

Results
Base case results showed that remote monitoring technology is cost-effective in the three risk groups under a willingness-to-pay (WTP) threshold of U.S. GDP per capita in year 2023. Full scenario analyses showed that, compared to rule-based follow-up, remote technology is 74 percent, 67 percent, and 74 percent cost-effective in the high-risk, medium-risk, and low-risk groups, respectively, and it is cost-effective especially if the treatment is effective and if remote monitoring is highly sensitive and specific.

Conclusions
Remote monitoring for chronic depression proves cost-effective and potentially cost-saving in the majority of simulated scenarios. This framework can assess emerging remote monitoring technologies and identify requirements for the technologies to be cost-effective in psychiatric and chronic care delivery.