bluuebunny/crossref_metadata_2025_split huggingface dataset:
Old woods, new rule: the annexation of Veneto to the Kingdom of Italy from a forest history perspective
Authors: Bonan Giacomo 
Published: January 2025

Abstract
This paper analyses the period following the annexation of Veneto to the Kingdom of Italy in 1866 from the standpoint of forest history. Recent historiography has demonstrated that the development of scientific forestry was a crucial factor in the state-building process. Post-unification Veneto provides an opportunity to explore these dynamics from a decentralised perspective, focusing on two critical aspects, relevant in Italy as in many other countries at that time: (a) the administration's attempts to study and manage forest resources, and (b) the forest conflicts arising from economic and institutional transformations in rural areas.
God Works for Good with Those Who Love Him: The Church as a Sacrament of Providence, Predestination, and Divine Goodness
Authors: Robertson Albert Elias 
Published: January 2025

Abstract
While various parts of St Thomas’ work have been suggested as places to discern a Thomistic ecclesiology, this article tries to situate the Church in a discussion of creation and the communication of divine goodness that is at the heart of the mystery of providence and predestination. Despite the assurance that God works for good with those who love him, our understanding of divine providence must begin with the frank admission of a tension between our intuition that creation must be ordered, and our experience of contingency. By understanding the Church’s place within creation, in a hidden and shadowy way from Abel until its manifestation in the Lord’s Paschal Mystery, we can see how God’s loving purposes are worked out both in the implicit faith in a Mediator, which finds its expression in a belief in God’s providential care of creation, and in the life of the visible Church where the mystery of predestination is worked out in the lives of the faithful until all is at last made manifest at the end of time. Such an ecclesiology allows us to see the fundamental importance, and mystical meaning, of the visible hierarchical Church.
Evaluation of the recombinant protein Sh-TSP-2 for the serological diagnosis of imported urogenital schistosomiasis and comparison with commercially available tests
Authors: Luzón-García María Pilar , Navarro Laura , Rodríguez Esther , Soriano-Pérez Manuel Jesús , Vázquez-Villegas José , Cabeza-Barrera María Isabel , Loukas Alex , Castillo-Fernández Nerea , Perteguer María Jesús , Sotillo Javier , Salas-Coronas Joaquín 
Published: January 2025

Abstract
Different agencies have emphasized the need to evaluate current serological methods for screening patients with suspected urogenital schistosomiasis. However, there is still a lack of evidence regarding the most appropriate methods for this purpose. Here we assessed the diagnostic efficacy of a newly developed serological technique that utilizes the recombinant protein Sh-TSP-2, applied to the urine and serum of migrants suspected of having urogenital schistosomiasis. The sensitivity, specificity, positive and negative predictive values of an in-house enzyme-linked immunosorbent assay (ELISA) using the recombinant protein Sh-TSP-2 were analysed and compared with other commercial serological methods. Due to the limitations of microscopy as a perfect reference method, a latent class analysis (LCA) and composite reference standard (CRS) approach was used to determine the sensitivity and specificity of each test. According to the LCA model, the commercial tests NovaLisa® and immunochromatography test (ICT) immunoglobulin G–immunoglobulin M (IgG–IgM) presented the highest sensitivity (100%), whereas the Sh-TSP-2 serum ELISA test had 79.2%. The Sh-TSP-2 urine and serum ELISA tests had the highest specificities among the serological methods (87.5 and 75%, respectively). CRS modelling showed that the ICT IgG–IgM, NovaLisa® and Sh-TSP-2 serum tests led in sensitivity at 97.1, 88.6 and 71.4%, respectively, with all tests except that the ICT IgG–IgM test having a specificity >90%. Sh-TSP-2 has been validated as a screening tool for patients suspected of having urogenital schistosomiasis. Although commercial serological tests have shown higher sensitivities, Sh-TSP-2 could be valuable for confirming results from tests with lower specificity. Nevertheless, further studies with larger patient cohorts are necessary to fully verify its potential.
The Spirit in relation to the Word, means in relation to grace
Authors: Wiarda Timothy 
Published: January 2025

Abstract
If a strong working concept of the Spirit–Word relationship and the means of grace is lacking in many contemporary churches, part of the solution may be a fresh analysis and articulation of those themes. An adequate doctrine of the means of grace will reflect the complexity of the Holy Spirit's partnership with the Word, highlight the Word of God as the one essential means of grace, and throw as much light as possible on why the Word is the Spirit's necessary and perfectly suited instrument for applying redemptive grace in human lives.
Counting geodesics between surface triangulations
Authors: PARLIER HUGO , POURNIN LIONEL 
Published: January 2025

Abstract
Given a surface

$\Sigma$

equipped with a set P of marked points, we consider the triangulations of

$\Sigma$

with vertex set P. The flip-graph of

$\Sigma$

is the graph whose vertices are these triangulations, and whose edges correspond to flipping arcs in these triangulations. The flip-graph of a surface appears in the study of moduli spaces and mapping class groups. We consider the number of geodesics in the flip-graph of

$\Sigma$

between two triangulations as a function of their distance. We show that this number grows exponentially provided the surface has enough topology, and that in the remaining cases the growth is polynomial.
What happened to the Ekottarikāgama 增壹阿含經 T125 after the death of Dao'an?
Authors: Radich Michael , Norrish Jamie 
Published: January 2025

Abstract
The only extant complete Ekottarikāgama, viz. Zengyi ahan jing 增壹阿含經 T125, has presented modern scholarship with significant challenges. This study departs from the assumption, demonstrated in prior work, that the extant collection is due to *Dharmanandin and Zhu Fonian (and not Saṅghadeva, as wrongly held by tradition and the Taishō). The study first systematically reviews and coordinates prior scholarship on a number of possible anomalous features of T125, such as possible Mahāyāna-ish elements, Sarvāstivādin elements, merged discourses, and material found only late in Pāli and other mainstream canonical parallels. We show that these anomalies are not evenly distributed, but cluster in certain patches of the collection. The second part of the study then presents new, internal (stylistic) evidence that shows that these anomalies tend to be correlated with evidence that associates some discourses in the collection with Zhu Fonian's style in original works, and with later texts. On this basis, we argue that the collection underwent modification after the death of Dao'an 道安 in 385, and suggest, more speculatively, that some of these modifications likely stemmed from the hand of Zhu Fonian.
High‐Resolution Downscaling of Disposable Income in Europe Using Open‐Source Data
Authors: Mikou Mehdi , Vallet Améline , Guivarch Céline , Makowski David 
Published: January 2025

AbstractIncome maps have been extensively used for identifying populations vulnerable to global changes. The frequency and intensity of extreme events are likely to increase in coming years as a result of climate change. In this context, several studies have hypothesized that the economic and social impact of extreme events depend on income. However, to rigorously test this hypothesis, fine‐scale spatial income data is needed, compatible with the analysis of extreme climatic events. To produce reliable high‐resolution income data, we have developed an innovative machine learning framework, that we applied to produce a European 1 km‐gridded data set of per capita disposable income for 2015. This data set was generated by downscaling income data available for more than 120,000 administrative units. Our learning framework showed high accuracy levels, and performed better or equally than other existing approaches used in the literature for downscaling income. It also yielded better results for the estimation of spatial inequality within administrative units. Using SHAP values, we explored the contribution of the model predictors to income predictions and found that, in addition to geographic predictors, distance to public transport or nighttime light intensity were key drivers of income predictions. More broadly, this data set offers an opportunity to explore the relationships between economic inequality and environmental degradation in health, adaptation or urban planning sectors. It can also facilitate the development of future income maps that align with the Shared Socioeconomic Pathways, and ultimately enable the assessment of future climate risks.
An intelligent humidity sensing system for human behavior recognition
Authors: Yang Huabin , Guo Qiming , Chen Guidong , Zhao Yuefang , Shi Meng , Zhou Na , Huang Chengjun , Mao Haiyang 
Published: January 2025

Abstract
An intelligent humidity sensing system has been developed for real-time monitoring of human behaviors through respiration detection. The key component of this system is a humidity sensor that integrates a thermistor and a micro-heater. This sensor employs porous nanoforests as its sensing material, achieving a sensitivity of 0.56 pF/%RH within a range of 60–90% RH, along with excellent long-term stability and superior gas selectivity. The micro-heater in the device provides a high operating temperature, enhancing sensitivity by 5.8 times. This significant improvement enables the capture of weak humidity variations in exhaled gases, while the thermistor continuously monitors the sensor’s temperature during use and provides crucial temperature information related to respiration. With the assistance of a machine learning algorithm, a behavior recognition system based on the humidity sensor has been constructed, enabling behavior states to be classified and identified with an accuracy of up to 96.2%. This simple yet intelligent method holds great potential for widespread applications in medical assistance analysis and daily health monitoring.
Congenital hypothyroidism and associated visual-motor and intellectual development
Authors: Ontiveros-Mendoza Esperanza , González-Medrano Juan Antonio , Rivera-González Rolando , Sánchez-Huerta Karla , Sánchez Carmen , Barragán-Mejía Gerardo 
Published: January 2025

Abstract

Background
Congenital hypothyroidism’s sequelae include visuomotor and intellectual developmental deficits. Visual-motor perception is a cognitive function related to academic performance. Intellect is the ability to learn and use acquired knowledge to solve and achieve goals. Our objective was to evaluate visual-motor and intellectual development in children with late initiation of treatment for congenital hypothyroidism enrolled in a developmental follow-up and intervention program.

Methods
We evaluated the visual-motor and intellectual development of 75 infants with congenital hypothyroidism, 34 with athyrosis, and 41 with ectopia using the Bender Visual-Motor Development Test and the Weschler Intelligence Scale at eight and nine years of age.

Results
Children with ectopia had a visual-motor delay of −2 years and an Intelligence Quotient (IQ) greater than 98 points. Children with athyrosis had a visual-motor delay equivalent to −3.2 years and an IQ below 90 points. Better performance on Bender’s test was positively correlated with IQ. Attending more than 80% of Developmental Intervention Program appointments had a positive impact on intellectual development.

Conclusions
Timely diagnosis and early treatment with the appropriate dose of levothyroxine are determining factors; however, attendance to a development follow-up and intervention program could further support the cognitive development of children with congenital hypothyroidism.

Impact

Visuomotor development influences cognitive functions related to school performance.

Deficits in the ability to learn and use acquired knowledge to solve problems and achieve goals are characteristic of children with congenital hypothyroidism.

Delayed treatment is associated with more severe sequelae in both visual-motor and intellectual development.

Here, we show that treatment with adequate doses of levothyroxine and inclusion in a follow-up and developmental program are highly recommended for patients with delayed treatment.

A better understanding of these factors will allow clinicians to target therapeutic interventions.
Dairy consumption has a partial inverse association with systolic blood pressure and hypertension in populations with high salt and low dairy diets: cross-sectional data analysis from the Iwaki Health Promotion Project
Authors: Kawata Daisuke , Ueno Hiroshi M. , Nakano Ayatake , Tatara Yota , Tamada Yoshinori , Mikami Tatsuya , Murashita Koichi , Nakaji Shigeyuki , Itoh Ken 
Published: January 2025

Abstract
The prevalence of hypertension in Japan remains high, owing to the high salt content of the typical Japanese diet. Dairy-based foods may reduce blood pressure and hypertension risk. However, dairy consumption is low in Japan, and the relationships between dairy intake and blood pressure or the mechanisms by which dairy products affect blood pressure are not fully understood. This cross-sectional study was conducted as part of the Iwaki Health Promotion Project in Aomori, Japan. A total of 1071 participants were included from those who underwent annual medical checkups in June 2015. Adjusted multivariate linear and logistic regression analyses were performed to analyze the relationships between dairy consumption and blood pressure or hypertension risk. Comprehensive blood biomarker measurements were also performed. Whole- and high-fat dairy consumption was found to have significant inverse associations with systolic blood pressure (SBP) for all participants (β = –0.0213, P = 0.044) and with SBP and systolic hypertension risk for non-users of antihypertensive medicines (β = –0.0306, P = 0.011; and OR = 0.9927, P = 0.016; respectively). Three blood biomarkers related to phosphorus metabolism (inorganic phosphorus, intact parathyroid hormone, and interleukin-6) were associated with both dairy consumption and SBP. Dairy consumption had a partial inverse association with SBP and hypertension risk in a Japanese population with high salt and low dairy consumption. Analysis of blood biomarkers suggested that phosphorus metabolism is involved in the associations between dairy consumption and blood pressure.
Triple-negative breast cancer modifies the systemic immune landscape and alters neutrophil functionality
Authors: Bakker Noor A. M. , Garner Hannah , van Dyk Ewald , Champanhet Elisa , Klaver Chris , Duijst Maxime , Voorwerk Leonie , Nederlof Iris , Voorthuis Rosie , Liefaard Marte C. , Nieuwland Marja , de Rink Iris , Bleijerveld Onno B. , Oosterkamp Hendrika M. , Wessels Lodewyk F. A. , Kok Marleen , de Visser Karin E. 
Published: January 2025

Abstract
Cancer disrupts intratumoral innate-adaptive immune crosstalk, but how the systemic immune landscape evolves during breast cancer progression remains unclear. We profiled circulating immune cells in stage I–III and stage IV triple-negative breast cancer (TNBC) patients and healthy donors (HDs). Metastatic TNBC (mTNBC) patients had reduced T cells, dendritic cells, and differentiated B cells compared to non-metastatic TNBC patients and HDs, partly linked to prior chemotherapy. Vδ1 γδ T cells from mTNBC patients produced more IL17 than those from HDs. Chemotherapy-naïve mTNBC patients showed increased classical monocytes and neutrophils. Transcriptional, proteomic, and functional analyses revealed that neutrophils in mTNBC exhibited enhanced migratory capacity, elevated granule proteins, and higher ROS production. Some immune changes, such as reduced non-switched B cells and heightened neutrophil migration, were evident in earlier TNBC stages. This study comprehensively maps systemic immunity in TNBC, guiding future research on patient stratification and immunomodulation strategies.
Egoistic versus Prosocial Decision Making: an Eye Movement Data Report
Authors: Peshkovskaya Anastasia 
Published: January 2025

Abstract
Eye tracking data are highly promising in revealing novel and valuable evidence on human behavior and decision making. Data descripted in this article were collected in fourteen experiments with SMI eye tracking glasses in individual and social decision making conditions. The dataset is available on Harvard Dataverse and include data of 14 subjects with 4,180 visual behavior metrics summary and 3,744 eye moment records in decision-related areas of attention. Data may be applicable in computational models of oculomotor activity to explain decision process and predict its outcomes.
Integrated cancer cell-specific single-cell RNA-seq datasets of immune checkpoint blockade-treated patients
Authors: Gondal Mahnoor N. , Cieslik Marcin , Chinnaiyan Arul M. 
Published: January 2025

Abstract
Immune checkpoint blockade (ICB) therapies have emerged as a promising avenue for the treatment of various cancers. Despite their success, the efficacy of these treatments is variable across patients and cancer types. Numerous single-cell RNA-sequencing (scRNA-seq) studies have been conducted to unravel cell-specific responses to ICB treatment. However, these studies are limited in their sample sizes and require advanced coding skills for exploration. Here, we have compiled eight scRNA-seq datasets from nine cancer types, encompassing 223 patients, 90,270 cancer cells, and 265,671 other cell types. This compilation forms a unique resource tailored to investigate how cancer cells respond to ICB treatment across cancer types. We meticulously curated, quality-checked, pre-processed, and analyzed the data, ensuring easy access for researchers. Moreover, we designed a user-friendly interface for seamless exploration. By sharing the code and data for creating these interfaces, we aim to assist fellow researchers. These resources offer valuable support to those interested in leveraging and exploring single-cell datasets across diverse cancer types, facilitating a comprehensive understanding of ICB responses.
Synthetic Browsing Histories for 50 Countries Worldwide: Datasets for Research, Development, and Education
Authors: Komosny Dan , Rehman Saeed Ur , Ayub Muhammad Sohaib 
Published: January 2025

Abstract
Browsing histories can be a valuable resource for cybersecurity, research, and testing. Individuals are often reluctant to share their browsing histories online, and the use of personal data requires obtaining signed informed consent. Research shows that anonymized histories can lead to re-identification, nullifying the anonymity promised by informed consent. In this work, we present 500 synthetic browsing histories valid for 50 countries worldwide. The synthetic histories are compiled based on real browsing data using a series of transformation criteria, including website content, popularity, locality, and language, ensuring their validity for the respective countries. Each history maintains the order of webpage accesses and covers a one-month period. The motivation for publishing this dataset arises from the community’s call for browsing histories from different countries for research, development, and education. The published synthetic browsing histories can be used for any purpose without legal restrictions.
Hydrologic outputs generated over the Great Lakes with a calibrated version of the GEM-Hydro model
Authors: Gaborit Étienne , Mai Juliane , Princz Daniel , Shen Hongren , Vionnet Vincent , Tolson Bryan , Fortin Vincent 
Published: January 2025

Abstract
This dataset contains outputs from a calibrated version of the GEM-Hydro model developed at Environment and Climate Change Canada (ECCC) and is available on the Federated Research Data Repository. The dataset covers the basins of the Laurentian Great Lakes and the Ottawa River and extends over the period 2001–2018. The data consist of all variables (hourly fluxes and state variables) related to the water balance of GEM-Hydro’s land-surface scheme (including precipitation, surface and sub-surface runoff, drainage, evaporation, snow water equivalent, soil moisture…) and mean daily streamflow at 212 gauge locations. These outputs were simulated with a calibrated version of the GEM-Hydro model that was run in open-loop mode (no assimilation) and driven with atmospheric forcings coming from ECCC’s Canadian Surface Reanalysis version 2.1. GEM-Hydro achieves satisfactory simulations of various hydrologic variables when compared to reference datasets. This dataset can be used for example to drive any routing model, compute climatologies or statistics for different hydrologic variables and study their variability as a function of the local geo-morphology, etc.
Comparative analysis of correlation and causality inference in water quality problems with emphasis on TDS Karkheh River in Iran
Authors: Shakeri Reza , Amini Hossein , Fakheri Farshid , Lam Man Yue , Zahraie Banafsheh 
Published: January 2025

Abstract
Water quality management is a critical aspect of environmental sustainability, particularly in arid and semi-arid regions such as Iran where water scarcity is compounded by quality degradation. This study delves into the causal relationships influencing water quality, focusing on Total Dissolved Solids (TDS) as a primary indicator in the Karkheh River, southwest Iran. Utilizing a comprehensive dataset spanning 50 years (1968–2018), this research integrates Machine Learning (ML) techniques to examine correlations and infer causality among multiple parameters, including flow rate (Q), Sodium (Na+), Magnesium (Mg2+), Calcium (Ca2+), Chloride (Cl−), Sulfate (SO4
2−), Bicarbonates (HCO3
−), and pH. For modeling the causation, the “Back door linear regression” approach has been considered which establishes a stable and interpretable framework in causal inference by focusing on clear assumptions. Predictive modeling was used to show the difference between correlation and causation along with interpretability modeling to make the predictive model transparent. Predictive modeling does not report the causality among the variables as it showed Mg is not contributing to the target (TDS) while the findings reveal that TDS is predominantly positive influenced by Mg, Na, Cl, Ca and SO4, with HCO3 and pH exerting negative (inverse) effects. Unlike correlations, causal relationships demonstrate directional and often unequal influences, highlighting Mg as a critical driver of TDS levels. This novel application of ML-based causal inference in water quality research provides a cost-effective and time-efficient alternative to traditional experimental methods. The results underscore the potential of ML-driven causal analysis to guide water resource management and policy-making. By identifying the key drivers of TDS, this study proposes targeted interventions to mitigate water quality deterioration. Moreover, the insights gained lay the foundation for developing early warning systems, ensuring proactive and sustainable water quality management in similar hydrological contexts.