bluuebunny/crossref_metadata_2025_split huggingface dataset:
“Open Sourcing” Workflow and Machine Learning Approaches for Attributing Obsidian Artifacts to Their Volcanic Origins: A Feasibility Study from the South Caucasus
Authors: Hnila Pavol , Frahm Ellery , Gilibert Alessandra , Bobokhyan Arsen 
Published: January 2025

Abstract
Traditionally, reliable obsidian sourcing requires expensive calibration standards and extensive geological reference collections as well as experience with statistical processing. In the South Caucasus — one of the most obsidian-rich regions on the planet — this combination of requirements has often restricted sourcing studies because few projects have geological reference collections that cover all known obsidian sources. To test an alternative approach, we conducted “open sourcing” using portable X-ray fluorescence (pXRF) analyses of geological specimens with three key changes to the conventional method: (1) commercially available calibration standards were replaced with a loanable Peabody-Yale Reference Obsidians (PYRO) set, (2) a comprehensive geological reference collection was replaced with a published dataset of consensus values (Frahm, 2023a, 2023b), and (3) processing in statistical packages was replaced with two semiautomated machine-learning workflows available online. For comparison, we used classification by-eye with JMP 17.2 statistical software. Furthermore, we propose a new method to evaluate calibrations, which streamlines comparisons and which we refer to as a symmetric difference ratio (SDR). The results of this feasibility study demonstrate that this “open sourcing” workflow is reliable, yet currently only in combination with classification by-eye. When the consensus values were combined with the machine-learning solutions, the classification results were unsatisfactory. The most encouraging aspect of our alternative “open sourcing” workflow is that it enables correct source identification without physically measuring reference collections, therefore surmounting an obstacle that, until now, has severely limited archaeological research. We anticipate that rapid developments in machine-learning will also soon improve the workflow.
ShuttleFlow: learning the distribution of subsequent badminton shots using normalizing flows
Authors: Lien Yun-Hsuan , Lian Chia-Tung , Wang Yu-Shuen 
Published: January 2025

Abstract
This paper introduces ShuttleFlow, a simple yet effective model designed to forecast badminton shot types and shuttle positions. This tool could be invaluable for coaches, enabling them to identify opponents’ weaknesses and devise effective strategies accordingly. Given the inherent unpredictability of player behaviors, our model leverages conditional normalizing flow to generate the distributions of shot types and shuttle positions. This is achieved by considering the players and their preceding shots on the court. To augment the performance of our model, especially in predicting outcomes for players who have not previously competed against each other, we incorporate a novel regularization term. Additionally, we utilize Poisson disk sampling to reduce sample redundancy when generating the distributions. Compared to state-of-the-art techniques, our results underscore ShuttleFlow’s effectiveness in forecasting shot types and shuttle positions.
Exploring Maternal Resilience among Predominantly Low-Income and Minoritized Women
Authors: Wakeel Fathima , Corcino-Davis Yalitza , Everman Samara , Manz Patricia H. , Ledis Gabriella 
Published: January 2025

Abstract

Background
Research has increasingly explored maternal resilience or protective factors that enable women to achieve healthier maternal and child outcomes. However, it has not adequately examined maternal resilience using a culturally-relevant, socio-ecological lens or how it may be influenced by early-life stressors and resources. The current study contributes to the literature on maternal resilience by qualitatively exploring the salient multi-level stressors and resources experienced over the lifecourse by predominantly low-income and minoritized women.

Procedures
Data are from 19 women who were either adult mothers with children under 18 years of age living at home or reproductive-aged. Respondents completed semi-structured interviews, and grounded theory analyses identified themes related to stressors experienced and resilience resources utilized over the lifespan.

Results
Four domains relating to maternal stress and resilience, including stressors (caregiving stress, family conflict, and deaths in the family), traumas (abandonment, domestic violence, child abuse, and substance misuse), coping mechanisms (positive mindset, faith, activities, and movement, healthy eating, self-regulation, and self-love/care), and supports (family, friends, spouses/partners, community members, and religious institutions), emerged from the data. Familial relationships were perceived as the most significant support as well as the biggest source of stress and trauma.

Conclusions
As proposed by the socio-ecological framework, our findings suggest that components of maternal resilience exist at the individual (i.e., positive mindset, faith, self-regulation, self-love, and positive health behaviors), interpersonal (i.e., support from family, friends, and partner), and community (i.e., support from community members and religious organizations) levels.
On estimations of Dawn spacecraft’s capture probability into 1:1 ground-track resonance around Vesta
Authors: Boumchita Wail , Feng Jinglang , Neishtadt Anatoly 
Published: January 2025

Abstract
This paper develops semi-analytical and analytical methodologies to estimate the probability of the Dawn spacecraft being captured into a 1:1 ground-track resonance around Vesta. The spacecraft, using low-thrust propulsion, approached the asteroid Vesta, and one significant challenge during this phase is crossing ground-track resonances with the asteroid. As the capture phenomenon is dependent on the initial condition of the trajectory, it is necessary to accurately estimate the probability of such a capture. Firstly, the system dynamics are described by a model incorporating Hamiltonian perturbations from the irregular gravitational field up to the second degree and order, and continuous low-thrust that is constant in magnitude and directed in the opposite direction of the spacecraft’s velocity. The resonance region is enclosed by separatrices which are approximated with a fourth-order polynomial for quantitative analysis. The Hamiltonian, serving as a proxy for the system’s energy, changes when the spacecraft crosses the separatrices, and these changes are quantified using a global adaptive quadrature method. Finally, the probability of capture into ground-track resonance is estimated based on the energy change across the separatrices, and the accuracy and efficiency of the developed semi-analytical and analytical methodologies are investigated by comparing them to numerical simulations based on the perturbed Hamilton’s equations of motion. This research makes a significant contribution to the field of astrodynamics by providing a systematic and efficient approach to estimating the probability of resonance capture.
Can feedback from students to teachers improve different dimensions of teaching quality in primary and secondary education? A hierarchical meta-analysis
Authors: Röhl Sebastian , Bijlsma Hannah , Schwichow Martin 
Published: January 2025

Abstract
This meta-analysis summarizes the available evidence on the effectiveness of student feedback interventions in primary and secondary schools on different aspects of teaching quality. It aims to examine indications of success conditions for an effective use of student feedback in practice. The analysis included 23 studies with 314 effect sizes. We estimated an overall weighted mean effect size of d = 0.27 based on a three-level random-effects model. For effectiveness with respect to various dimensions of teaching quality, only minor and mostly nonsignificant differences were found. Further moderator analyses showed larger effect sizes for studies in which teachers received support for interpreting student feedback and implementing changes in their teaching. Moreover, studies in which teachers were encouraged to discuss the feedback with their students have larger effect sizes than studies in which teachers were not encouraged to do so. Item and answering scale characteristics also showed significant effects on the effectiveness of student feedback. Implications for further research and the use of student feedback in schools are discussed.
Metabolic profiles of meconium in preeclamptic and normotensive pregnancies
Authors: Toivonen Elli , Sikkinen Jutta , Salonen Anne , Kärkkäinen Olli , Koistinen Ville , Klåvus Anton , Meuronen Topi , Heini Tuomas , Maltseva Arina , Niku Mikael , Jääskeläinen Tiina , Laivuori Hannele 
Published: January 2025

Abstract

Introduction
Preeclampsia (PE) is a common vascular pregnancy disorder affecting maternal and fetal metabolism with severe immediate and long-term consequences in mothers and infants. During pregnancy, metabolites in the maternal circulation pass through the placenta to the fetus. Meconium, a first stool of the neonate, offers a view to maternal and fetoplacental unit metabolism and could add to knowledge on the effects of PE on the fetus and newborn.

Objectives
To compare meconium metabolome of infants from PE and normotensive pregnancies.

Methods
A cohort of preeclamptic parturients and normotensive controls were recruited in Tampere University Hospital during 2019–2022. Meconium was sampled and its metabolome analyzed using liquid chromatography– mass spectrometry in 48 subjects in each group.

Results
Differences in abundances of 1263 compounds, of which 19 could be annotated, were detected between the two groups. Several acylcarnitines, androsterone sulfate, three bile acids, amino acid derivatives (phenylacetylglutamine, epsilon-(gamma-glutamyl)lysine and N-(phenylacetyl)glutamic acid), as well as caffeine and paraxanthine were lower in the PE group compared to the control group. Urea and progesterone were higher in the PE group.

Conclusion
PE is associated with alterations in the meconium metabolome of infants. The differing abundances of several metabolites show alterations in the interaction between the fetoplacental unit and mother in PE, but whether they are a cause or an effect of the disorder remains to be further investigated.
Superior performance in classification of breast cancer molecular subtype and histological factors by radiomics based on ultrafast MRI over standard MRI: evidence from a prospective study
Authors: Jeong Juhyun , Ham Sungwon , Seo Bo Kyoung , Lee Jeong Taek , Wang Shuncong , Bae Min Sun , Cho Kyu Ran , Woo Ok Hee , Song Sung Eun , Choi Hangseok 
Published: January 2025

Abstract

Purpose
To compare the performance of ultrafast MRI with standard MRI in classifying histological factors and subtypes of invasive breast cancer among radiologists with varying experience.

Methods
From October 2021 to November 2022, this prospective study enrolled 225 participants with 233 breast cancers before treatment (NCT06104189 at clinicaltrials.gov). Tumor segmentation on MRI was performed independently by two readers (R1, dedicated breast radiologist; R2, radiology resident). We extracted 1618 radiomic features and four kinetic features from ultrafast and standard images, respectively. Logistic regression algorithms were adopted for prediction modeling, following feature selection by the least absolute shrinkage and selection operator. The performance of predicting histological factors and subtypes was evaluated using the area under the receiver-operating characteristic curve (AUC). Performance differences between MRI methods and radiologists were assessed using the DeLong test.

Results
Ultrafast MRI outperformed standard MRI in predicting HER2 status (AUCs [95% CI] of ultrafast MRI vs standard MRI; 0.87 [0.83–0.91] vs 0.77 [0.64–0.90] for R1 and 0.88 [0.83–0.91] vs 0.77 [0.69–0.84] for R2) (all P < 0.05). Both ultrafast MRI and standard MRI showed comparable performance in predicting hormone receptors. Ultrafast MRI exhibited superior performance to standard MRI in classifying subtypes. The classification of the luminal subtype for both readers, the HER2-overexpressed subtype for R2, and the triple-negative subtype for R1 was significantly better with ultrafast MRI (P < 0.05).

Conclusion
Ultrafast MRI-based radiomics holds promise as a noninvasive imaging biomarker for classifying hormone receptors, HER2 status, and molecular subtypes compared to standard MRI, regardless of radiologist experience.
Unraveling dolomite dissolution stoichiometry in circumneutral to alkaline pH environments
Authors: Bibi Irshad , Amin Aniqa , Haese Ralf R. , Niazi Nabeel Khan 
Published: January 2025

Abstract
Examining carbonate dissolution kinetics at mineral-water interface is crucial to understand numerous environmental and geochemical processes, including global carbon cycling, CO2 sequestration in deep geological reservoirs, and trace elements release in terrestrial and aquatic environments. Here we explored the effect of circumneutral to alkaline pH solutions (pH 6–11) on dissolution kinetics of pure dolomite and Ca and Mg release stoichiometry in flow-through reactor experiments at 25 ± 1 °C. Results revealed that the dolomite dissolution rates obtained from effluent Ca and Mg concentrations (RCa and RMg in mol/cm2/s) were dependent on input solution pH and HCO3
− log activity. The pH dependence of dissolution rates showed two distinct trends, i.e., at circumneutral pH ranging between 6 and 8, the dissolution rate decreased with increasing pH, with minimum rate at pH 8. While in the highly alkaline pH range (pH 9–11), the dolomite dissolution rate increased with an increasing pH. Irrespective of the input pH, the dolomite dissolution rates indicated a reverse relationship with HCO3
− log activity, with the lowest dissolution rate (RCa = 3.80 × 10–12 mol/cm2/s) at pH 8 where HCO3
− log activity attained the highest value (− 3.957). The lower RCa and RMg obtained at pH 8 compared to all the other pH could possibly be attributed to an inhibition caused by high HCO3
− log activity in solution at this pH. Dolomite dissolution rates were non-stoichiometric at all the experimental pH values, showing higher preferential Ca over Mg release (RCa > RMg) whereas an opposite trend was observed at pH 8, with RCa < RMg at the steady state. Saturation index values calculated using geochemical speciation modelling were positive for Mg-bearing minerals (brucite, dolomite, artinite) at alkaline pH of 10–11, indicating favourable conditions for their precipitation under studied conditions. This study provides insights on the significance of log ion activities of HCO3
− and Me-OH+ under varying pH for elucidating the dissolution mechanism of dolomite in circumneutral to alkaline aqueous environments.
Modelling the Dissolutive Wetting of Slag-Oxide System at High Temperatures
Authors: Yang Mingrui , Yan Zhiming , Li Zushu , Lv Xuewei , Bai Chenguang 
Published: January 2025

Abstract
A model of the dissolutive wetting process for slag-oxide systems is developed, based on the assumption that the shape of the liquid slag droplet on a solid surface is a spherical cap. The model incorporates key factors such as substrate density, slag density, viscosity, as well as the dissolution rate. Numerical simulations are performed using an iterative calculation method, which reveals the spreading dynamics of the dissolutive wetting process. Experimental data for the wetting of slags, including CaO–Fe2O3, CaO–SiO2–Al2O3–MgO on Al2O3, Fe2O3 and MgAl2O4 substrates, were used to validate the model, showing good agreement with the predicted results. The calculated dynamic results indicate that the apparent contact angle (α
apt) decreases rapidly at first, followed by a slower decline due to a lower dissolution rate. The wetting process is primarily governed by the dissolution rate, which is significantly influenced by the dissolution driving force (ΔC = C
sat − C
L) rather than the slag viscosity. The development of this model enhances the understanding of the dynamic dissolutive wetting process, including time variation in droplet size, formation of corrosion pit, and changes in liquid composition and its properties.
Application of silver and selenium nanoparticles to enhance plant-defense response against biotic stressors
Authors: Batista Anielkis , Mai Van Chung , Sadowska Katarzyna , Labudda Mateusz , Jeandet Philippe , Morkunas Iwona 
Published: January 2025

Abstract
The present review discusses the role of silver (AgNPs) and selenium (SeNPs) nanoparticles at different concentrations in the regulation of plant defence responses to the biotic stressors. Study of the role of the above nanoparticles (NPs) has generated considerable interest because these caused significant changes in the framework of plant growth and their metabolism and play an important role in responses to biotic stress factors. Numerous results of metabolomics studies provide evidence that NPs change the profile of metabolites and their concentrations. NPs were applied as potential tools to improve the growth of plants, plant tolerance to abiotic stresses and food production, but research on the environmental safety of their use in agriculture is still necessary. The response of plants to the application of NPs depends on their concentration, plant species, exposure time and stage of development.
Nanoindentation Crack Suppression and Hardness Increase in SrTiO3 by Dislocation Engineering
Authors: Zhang Jiawen , Preuß Oliver , Fang Xufei , Lu Wenjun 
Published: January 2025

Abstract
Dislocations in functional oxides have sparked interest in the potential they hold for harvesting both enhanced mechanical and functional properties for next-generation electronic devices. This has motivated the recent research endeavor to achieve tunable dislocation density and plastic zone size in functional oxides. However, the dislocation density-dependent micro-/nanomechanical properties in functional ceramics have yet to be assessed, which will be critical for the design of reliable electronic devices in the near future. In this work, we use a model material, single-crystal SrTiO3, as one of the most widely used substrates for oxide electronics, to assess the hardness and fracture behavior at micro-/nanoscale by pre-engineering the dislocation densities from ~ 1010 m-2 up to ~ 4.0 × 1014 m-2. We find crack suppression and enhanced hardness during nanoindentation in samples with pre-engineered dislocations. Post-indentation analysis using transmission electron microscopy revealed the critical role of pre-existing dislocations in regulating the crack suppression and increased hardness in SrTiO3. The results can help guide the design of mechanically reliable electronics via dislocation engineering.
Novel Surgical Initiatives in Gastroenteropancreatic Neuroendocrine Tumours
Authors: Ritter Alina S. , Poppinga Jelte , Steinkraus Kira C. , Hackert Thilo , Nießen Anna 
Published: January 2025

Abstract

Purpose of Review
Neuroendocrine tumours (NET) are rare entities arising from hormone producing cells in the gastroentero-pancreatic (GEP) tract. Surgery is the most common treatment of GEP-NETs.

Recent Findings
Improvements in surgical techniques allow for more locally advanced and metastasised GEP-NETs to be resected. Laparoscopic and robotically--assisted approaches are increasingly being utilised in the resection of selected GEP-NETs and are facilitated by novel intraoperative tumour localisation tools and parenchyma-sparing methods. At the same time, some authors suggest that indications for formal resections of small well differentiated non-functioning pancreatic NETs and appendiceal NETs should be more restrictive.

Summary
Advancements in surgery allows for tissue-sparing resections of GEP-NETs. Indications for surgical resection and the extent of the procedure are highly dependent on GEP-NET size, localisation and grading. Robotically assisted surgeries with intraoperative ultrasound and visualisation methods as well as vessel-sparing radical retrograde lymphadenectomies for small intestinal NETs seem to be the future of GEP-NET surgery.
How Painful are Lumbar Hernias? A Comprehensive Review of Intervention Strategies
Authors: Moreno-Gómez-Toledano Rafael , Méndez-Mesón Irene , Aguado-Henche Soledad , Sebastián-Martín Alba , Grande-Alonso Mónica 
Published: January 2025

Abstract

Purpose of Review
Low back pain (LBP) is considered an important issue of public health, with annual prevalence estimations almost achieving 60% of the worldwide population. Available treatments have a limited impact on this condition, although they allow to alleviate pain and recover the patient’s quality of life. This review aims to go deeper on the understanding of this condition, providing an updated, brief, and concise whole picture of this common musculoskeletal problem.

Recent Findings
Scientific literature, current clinical practice and clinical guidelines are summarized, focusing on three key aspects: classification of LBP, diagnosis of symptomatic lumbar hernia, and intervention strategies (conservative, surgical, and pharmacological). Benefits and drawbacks of each approach are tackled.

Summary
The most appropriate intervention for LBP suffers is hitherto a conservative treatment based on therapeutic exercise, manual therapy and therapeutic education on the neurophysiological mechanisms of pain. Whether patient's condition is severe, does not improve with conservative treatment, or presents neurological symptoms, then surgical intervention is recommended. The efficiency of pharmaceutical approaches for LBP lacks high-quality evidence-based studies, and still needs to be in-depth explored. Current treatments help to improve symptoms and patient’s perspectives. However, further research in the field of herniated discs is essential in order to seek a therapy that could definitely cure or eliminate this condition.
Development and preliminary validation of the dyadic sexual self-esteem inventory
Authors: Wehrli Fabienne S. V. , Weitkamp Katharina , Bodenmann Guy 
Published: January 2025

Abstract
Previous research has consistently shown a close relationship of sexual health with the dynamics within a romantic relationship. However, most measurements in this field have traditionally focused solely on the individual level, thus neglecting relationship aspects. In the present study, we introduce a new theoretical framework and the Dyadic Sexual Self-Esteem Inventory (DSSEI) as a measurement tool designed to evaluate sexual self-esteem from an interpersonal perspective. Using data from individuals in monogamous relationships (N = 784), we conducted confirmatory factor analyses, tested measurement invariance, and assessed the instrument’s reliability and validity. The results demonstrate that the DSSEI is a reliable and valid 30-item tool that consists of one higher-order factor (Dyadic Sexual Self-Esteem), five second-order factors (Evaluation of the Self, Perceived Partner’s Influence on Self, Perceived Partner’s Self-Evaluation, Perceived Influence on Partner, Couple Evaluation) and ten first-order factors that differentiate between sexual self-worth and sexual self-efficacy within dyadic sexual self-esteem. The DSSEI exhibits partial scalar invariance across gender and measurement points for the second-order factors. Reliability analyses demonstrate good internal consistency and stability over time. The validity analyses incorporated Pearson product-moment correlations and regression analyses, revealing significant associations between dyadic sexual self-esteem and sexual self-esteem, sexual subjectivity, self-esteem, sexual function, sexual satisfaction, relationship satisfaction, and emotional intimacy. Additionally, the DSSEI differentiates between individuals with and without sexual dysfunction and between those with high and low relationship satisfaction. The DSSEI has implications for both sexual health research and clinical practice and adds to an understanding of couples’ sexual interactions as a product of their dyadic experiences rather than the sum of individual predispositions.