julilili42/papers huggingface dataset:
Private infrastructure in geopolitical conflicts: the case of Starlink and the war in Ukraine
2024-06-17

Privately owned infrastructures play a central role in the unfolding of geopolitical conflicts. While academic contributions generally support this argument, businesses are mostly treated as enablers or spoilers of state action rather than actors in their own right. This article develops a theoretical framework around the relationship of state and transnational corporations in times of intense global competition, combining it with a political–economic perspective on how private ownership of transnational infrastructures shifts this relationship. It argues that private businesses develop and operate infrastructures for profit-seeking purposes, but that this logic can be amended by preferences for political outcomes. The article undertakes an analysis of the role of Starlink, the world’s largest satellite constellation owned by US-based company SpaceX, in the events following the Russian invasion of Ukraine. It reconstructs SpaceX’s initial decision to enable Starlink in Ukraine and its ensuing strategic readjustment that limited Ukraine’s abilities to retake Russian-occupied areas. The findings support the relevance of both profit-seeking and political motives for explaining businesses’ decision-making, with substantial implications for contemporary state–business relations. SpaceX viewed the war in Ukraine as an opportunity to secure capital and contracts, largely from the United States; at the same time, it sought to appease other states on which it depends, most centrally China. The findings furthermore demonstrate that states will seek to reestablish independence from private infrastructure where other forms of hedging fail. While China and the European Union opted to build their own satellite constellations, the United States relied on its economic pull to ensure SpaceX’s cooperation.
Effects of gamma(γ)-irradiation on the physicochemical properties and bioavailability of iron oxyhydroxides coprecipitated with varying concentrations of Na-alginate
2024-06-17

This study investigated the impacts of γ-radiation at a final dose of 25 kGy on the physicochemical properties of a range of wet iron oxyhydroxides (2-line ferrihydrite, lepidocrocite, and goethite) synthesized in the presence of varying concentrations of the polysaccharide Na-alginate (starting solutions containing C/Fe ratios of 0, 0.5, 1.0, and 1.5). The degree of impact to the minerals was examined by chemical extractions, and various analytical techniques including XRD, FTIR-ATR, Mössbauer spectroscopy, and N2 adsorption-desorption isotherms, as well as by assessing their bioavailability towards the model Fe(III) reducing bacteria Shewanella putrefaciens CN32. Across all the coprecipitates studied, it was found that γ-irradiation led to a substantial dissolution of Fe and the concomitant release of Fe(II) and alginate into solution. Despite this observation, the bulk mineralogy and crystallinity of the studied iron oxyhydroxides, as determined by XRD and FTIR-ATR, did not appear to change. However, analyses via Mössbauer spectroscopy (77 and 5 K) revealed that the crystallinity of the 2-line ferrihydrites increased post-irradiation. Moreover, among the minerals studied, the specific surface area and porosity decreased for only the post-irradiated 2-line ferrihydrite coprecipitates with a C/Fe ratio of 0.5 or 1.0. The bioreduction rates of the studied minerals and their irradiated counterparts did not significantly differ, whereas the extent of bioreduction of post-irradiated 2-line ferrihydrite coprecipitates (C/Fe 0.5, 1.0, and 1.5) exhibited a significant increase of up to 28%. In contrast, the extent of Fe reduction for select post-irradiated lepidocrocite (C/Fe 0.5) and goethite (C/Fe 1.5) coprecipitates was slightly higher than determined for their corresponding native controls. The observed differences in bioavailability between the native and irradiated coprecipitates were attributed to irradiation induced alteration of particle aggregation and coagulation as determined by particle size analyses and visual observations. In summary, the findings suggest that even a low total dose of 25 kGy, γ-radiation can lead to significant physicochemical changes in coprecipitates with relatively low organic matter content. Therefore, future research designed to investigate organic matter-Fe composite systems in natural samples should be cognizant of the potential effects of sterilization through γ-irradiation. These effects could potentially result in inaccurate over- or under- estimations of the bioavailability of Fe or organic matter, as well as the possible adsorption capacity of organic matter-Fe coprecipitates for contaminants.
Academic education of midwives in Germany (part 1): Requirements for bachelor of science programmes in midwifery education. Position paper of the Midwifery Science Committee (AHW) in the DACH Association for Medical Education (GMA)
2024-06-17

The current situation in Germany is characterised by significant differences between the two types of higher education institutions offering bachelor's degree programmes in midwifery at both universities of applied sciences and universities. These differences are noticeable in admission procedures, resource allocation, content focus and competence assessment at the respective institutions, which in turn result in heterogeneous study experiences. This article highlights the challenges currently facing bachelor degree programmes and the academic qualification of midwives, and identifies future requirements for the development of degree programmes in theory and practice as well as theory-practice transfer, and assessment formats. Furthermore, this article covers the content-related and structural-organisational requirements to develop in-depth academic skills grounded in theory teaching, the facilitation of clinical placements at an academic level, the training of qualified practical instructors and the development of applicable competence-based assessment formats, especially for the state exam. The development of a standardised, high-quality academic education for midwives in Germany requires networking of the different academic sites/locations to exchange experiences in teaching/learning and assessment formats. Furthermore, it can facilitate the development of a standardised competence-oriented model and core curriculum as well as the definition of quality criteria and standards for study programmes of midwifery science. The Midwifery Science Committee (AHW) in the DACH Assoviation for Medical Education (GMA) offers an optimal platform for cooperation between the different universities. The existing challenges for the further professional development of midwives can only be overcome by collaboration and pooled expertise.
Academic education of midwives in Germany (part 2): Opportunities and challenges for the further development of the profession of midwifery. Position paper of the Midwifery Science Committee (AHW) in the DACH Association for Medical Education (GMA)
2024-06-17

The objective of academic training is to prepare midwives as independent healthcare professionals to make a substantial contribution to the healthcare of women in their reproductive years as well as to the health of their children and families. This article therefore describes the professional and educational requirements derived from the legal midwifery competencies within the new midwifery act. Furthermore, it identifies the conditions that need to be established to enable midwives in Germany to practise to their full scope in compliance with statutory responsibilities. Educational science, academic efforts, policymaking and accompanying research should work in synergy. This in turn enables midwives to achieve the maximum scope of their skills, with the objective of promoting physiological pregnancies and births. Consequently, it can strengthen early parenthood in alignment with the national health objectives of “health around childbirth”. The academisation of the midwifery profession presents a profound opportunity for professional development in Germany. It is essential that midwives receive training based on the principles of educational science and care structures that are yet to be developed. This can enable them to perform within the wide range of their professional tasks to the highest standards, thereby ensuring the optimal care of their clients. Moreover, there is a chance to implement sustainable improvements in healthcare provision for women and their families during the reproductive phase and the period of parenthood in Germany.
From the Lab to the Wild: Examining Generalizability of Video-based Mind Wandering Detection
2024-06-17

Abstract Student’s shift of attention away from a current learning task to task-unrelated thought, also called mind wandering, occurs about 30% of the time spent on education-related activities. Its frequent occurrence has a negative effect on learning outcomes across learning tasks. Automated detection of mind wandering might offer an opportunity to assess the attentional state continuously and non-intrusively over time and hence enable large-scale research on learning materials and responding to inattention with targeted interventions. To achieve this, an accessible detection approach that performs well for various systems and settings is required. In this work, we explore a new, generalizable approach to video-based mind wandering detection that can be transferred to naturalistic settings across learning tasks. Therefore, we leverage two datasets, consisting of facial videos during reading in the lab (N = 135) and lecture viewing in-the-wild (N = 15). When predicting mind wandering, deep neural networks (DNN) and long short-term memory networks (LSTMs) achieve F <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow/> <mml:mn>1</mml:mn> </mml:msub> </mml:math> scores of 0.44 (AUC-PR = 0.40) and 0.459 (AUC-PR = 0.39), above chance level, with latent features based on transfer-learning on the lab data. When exploring generalizability by training on the lab dataset and predicting on the in-the-wild dataset, BiLSTMs on latent features perform comparably to the state-of-the-art with an F <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow/> <mml:mn>1</mml:mn> </mml:msub> </mml:math> score of 0.352 (AUC-PR = 0.26). Moreover, we investigate the fairness of predictive models across gender and show based on post-hoc explainability methods that employed latent features mainly encode information on eye and mouth areas. We discuss the benefits of generalizability and possible applications.
Comment on egusphere-2024-724
2024-06-17

<strong class="journal-contentHeaderColor">Abstract.</strong> Sedimentary records of lipid biomarkers such as leaf wax <em>n</em>-alkanes are not only influenced by ecosystem turnover and physiological changes in plants, they are also influenced by earth surface processes integrating these signals. The integration of biomarkers into the sedimentary record and the effects of integration processes on recorded environmental signals are complex and not fully understood. To determine the depositional constraints on biomarker records in a high-altitude small catchment system, we collected both soil and stream sediments along a 1000 m altitude transect (1500 &ndash; 2500 masl) in the Areguni Mountains, a subrange of the Lesser Caucasus Mountains in Armenia. We utilize the existence of a treeline at ~ 2000 masl, which separates alpine meadow above from deciduous forest below, to assess the relative contribution of upstream biomarker transport to local vegetation input in the stream. We find that average chain length (ACL), hydrogen isotope (&delta;D) and carbon isotope (&delta;<sup>13</sup>C) values of <em>n</em>-alkanes are significantly different in soils collected above and below the treeline. However, samples collected from the stream sediments do not integrate these signals quantitively. As the stream drops below the treeline, the ACL, &delta;D and &delta;<sup>13</sup>C values of <em>n</em>-alkanes preserved in streambed sediments reflect a bias toward <em>n</em>-alkanes sourced from trees. This suggests that there is either 1) minimal transportation of organic matter from the more open vegetation in higher elevations, or 2) greater production of target biomarkers by trees and shurbs found at lower elevations results in overprinting of stream signals by local vegetation. Though this latter observation may preclude using <em>n</em>-alkanes to measure past treeline movement in these mountains, &delta;D values of biomarkers in fluvial deposits in these settings are more likely to record local hydrological changes rather than changes in upstream fractionation differences associated with vegetation turnover.
Living and decaying roots as regulators of soil aggregation and organic matter formation—from the rhizosphere to the detritusphere
2024-06-18

In dryland ecosystems, typically characterized by sparse vegetation and nutrient scarcity, pioneer plants exert a critical role in the build-up of soil carbon (C). Continuous root-derived C inputs, including rhizodeposition and structural root litter, create hotspots of increased microbial activity and nutrient availability where biogeochemical processes, such as soil aggregation and the accumulation and stabilization of organic matter (OM), are promoted. Our study aims to disentangle the effects of root C inputs on soil aggregate formation, microbial community structures, and on the fate of OM—both before and after plant death, i.e., during the transition from rhizosphere to detritusphere. This was realized in a two-phase incubation approach, tracing the natural and undisturbed transition from growth to subsequent decomposition of a pioneer plant-root system (Helenium aromaticum) in a semi-arid topsoil and subsoil. We quantified water-stable aggregates, investigated the fate and composition of OM separated into particulate and mineral-associated OM fractions (POM and MAOM), and observed successional changes in the root-associated microbiome. Our results underscore the significance of roots as vectors for macroaggregation within the rhizosphere in both topsoil and subsoil, associated with a particularly strong increase in fungal abundance in the subsoil. In topsoil, we identified root legacy effects in the detritusphere, as root-induced macroaggregation persisted after plant death, a phenomenon not observed in subsoil. These root legacy effects were accompanied by a clear succession towards gram + bacteria, which appeared to outcompete fungi during root decomposition. The increased availability of decaying litter surfaces further facilitated the protection of particulate OM via the occlusion into aggregates. Overall, to gain a holistic understanding of plant-microbe-soil interactions, we emphasize the need for more studies that span over the full temporal dimension from living to dying plants in intact soil systems.
Conformation- and activation-based BRET sensors differentially report on GPCR–G protein coupling
2024-06-18

G protein–coupled receptors (GPCRs) regulate cellular signaling processes by coupling to diverse combinations of heterotrimeric G proteins composed of Gα, Gβ, and Gγ subunits. Biosensors based on bioluminescence resonance energy transfer (BRET) have advanced our understanding of GPCR functional selectivity. Some BRET biosensors monitor ligand-induced conformational changes in the receptor or G proteins, whereas others monitor the recruitment of downstream effectors to sites of G protein activation. Here, we compared the ability of conformation-and activation-based BRET biosensors to assess the coupling of various class A and B GPCRs to specific Gα proteins in cultured cells. These GPCRs included serotonin 5-HT 2A and 5-HT 7 receptors, the GLP-1 receptor (GLP-1R), and the M 3 muscarinic receptor. We observed different signaling profiles between the two types of sensors, highlighting how data interpretation could be affected by the nature of the biosensor. We also found that the identity of the Gβγ subunits used in the assay could differentially influence the selectivity of a receptor toward Gα subtypes, emphasizing the importance of the receptor-Gβγ pairing in determining Gα coupling specificity. Last, the addition of epitope tags to the receptor could affect stoichiometry and coupling selectivity and yield artifactual findings. These results highlight the need for careful sensor selection and experimental design when probing GPCR–G protein coupling.
Expression of the tumor antigens NY-ESO-1, tyrosinase, MAGE-A3, and TPTE in pediatric and adult melanoma: a retrospective case control study
2024-06-18

Abstract Tumor-associated antigens (TAAs) are potential targets for T cell-based immunotherapy approaches in cutaneous melanoma. BNT111, an investigational lipoplex-formulated mRNA-based therapeutic cancer vaccine encoding melanoma TAAs NY-ESO-1, tyrosinase, MAGE-A3, and TPTE, is undergoing clinical testing in adults. Expression of these TAAs in pediatric melanoma is unclear but is a prerequisite for feasibility of this treatment approach in children with melanoma. Our main objective was to characterize expression of those TAAs in pediatric melanomas compared to control cohorts. In this retrospective case control study, protein and transcript expression of NY-ESO-1, tyrosinase, MAGE-A3, and TPTE were analyzed in a cohort of 25 pediatric melanomas, 31 melanomas of young adults, 29 adult melanomas, and 30 benign melanocytic nevi in children using immunohistochemical staining and digital pathology (QuPath) and reverse transcription quantitative PCR. Based on IHC analysis, pediatric melanomas expressed tyrosinase (100.0%), TPTE (44.0%), MAGE-A3 (12.0%), and NY-ESO-1 (8.0%). Young adult melanomas expressed tyrosinase (96.8%), NY-ESO-1 (19.4%), MAGE-A3 (19.4%), and TPTE (3.2%). Adult melanomas expressed tyrosinase (86.2%), MAGE-A3 (75.9%), NY-ESO-1 (48.3%), and TPTE (48.3%). Childhood melanocytic nevi only expressed tyrosinase (93.3%). Expression prevalence of individual TAAs did not differ between subtypes of pediatric melanoma, and no association with prognosis was found. All four TAAs were expressed in pediatric melanoma, albeit NY-ESO-1 and MAGE-A3 to a lesser extent than in adult melanoma. These data support the possibility of investigating vaccines targeting these TAAs for the treatment of pediatric melanoma.
Evaluating the content structure of intelligent tutor systems—A psychological network analysis
2024-06-18

The adoption of intelligent tutoring systems (ITSs) worldwide has led to a considerable accumulation of process data as students interact with different learning topics within these systems. Typically, these learning topics are structured within ITSs (e.g., the fraction topic includes subtopics such as a fraction number line subtopic). However, there is a lack of methods that offer quick, data-driven insights into the content structure of ITSs, particularly through easily accessible visualizations. Here, we applied psychological network analysis to process data (230,241 students; 5,365,932 problem sets) from an ITS for learning mathematics to explore performance interdependencies between 40 different subtopics. We argue that the visualization of these content interdependencies allows for a quick empirical evaluation of the validity of the existing structuring of the respective learning content. These insights allow for deriving recommendations concerning potential changes in the ITS structure and are thus highly valuable for ITS developers. Our results are also relevant for researchers as the interdependencies illustrated through psychological network analysis can contribute towards a better understanding of the interplay between mathematical skills. Together, our results indicate that psychological network analysis represents a valuable data-driven method to evaluate and optimize ITSs.
An Introduction and Tutorial to Fitting (Time-Dependent) Diffusion Models with the R-Package dRiftDM
2024-06-18

Using mathematical models of human cognition has become an increasingly important and valuable research tool in many different fields of psychological research and neighboring areas. Widely used are drift diffusion models (DDMs) that can be used to predict probability density functions (PDFs) of binary choice reaction tasks. Often, the parameters of such a model are time-independent (i.e., they do not vary as a function of time within a trial). However, the more general case is that of time-dependent parameters. Several recent models, for example, assume time-dependency for the drift rate and/or the boundaries. Such time-dependent (or non-stationary) models increase mathematical complexity, but several solutions to approximate the PDFs have been advanced. We here present dRiftDM, an R package particularly designed to meet the needs of psychological research. This package approximates the PDFs by solving the Kolmogorov-Forward-Equation to handle time-dependent models as well. Fitting a model to data can be done participant-wise, and model parameters and statistics are easily accessible and can be visualized directly to provide information about (qualitative) model fits. Hands-on examples for using pre-built models and for developing own models are provided.
Implications of cognitive and daily living capabilities on early type 2 diabetes management: a preliminary case–control study
2024-06-18

Abstract Background Adherence to the transition from oral agents to insulin injections in Type 2 Diabetes Mellitus therapy varies among patients and is not uniformly successful, leading to suboptimal glycemic control in certain cases. This study aims to investigate the potential correlation between cognitive and daily functional capabilities and glycemic control in middle-aged to older adults (40–74 years old) diagnosed with Type 2 Diabetes Mellitus for less than 10 years, specifically those who have recently transitioned to insulin injections and have lower education levels within the context of a developing country. Methods A case–control study was conducted with 30 poorly controlled diabetes mellitus (PCDM) patients recognized by HbA1c levels &gt; 8% compared to 30 fairly controlled diabetes mellitus (FCDM) patients with HbA1c levels ≤ 8%. Basic Montreal Cognitive Assessment (MoCA-B) score of less than 27 was investigated as the exposure among two groups. Additionally, intra- and inter-battery correlations were assessed among MoCA-B and Instrumental Activities of Daily Living (IADL) domains using Pearson’s r . Results The primary outcomes showed no crude difference between MoCA-B scores in the two diabetic groups ( p -value = 0.82). However, after adjusting for age, education, and IADL scores, cognitive decline in the less-educated younger elderly with high IADL scores demonstrated an unexpected protective effect against PCDM ( p -value &lt; 0.0001, OR 95% CI = 0–0.26). In linear regression analysis among MoCA-B and IADL scores, “delayed recall” and “orientation” domains from MoCA-B, and “managing medications” and “using the phone” from IADL were negatively associated with HbA1c levels ( p -values of &lt; 0.01, 0.043, 0.015, and 0.023, respectively). Intra- and inter-battery correlations further illustrated a strong association between MoCA-B’s “orientation” with IADL’s “using the phone” and “managing medications” ( p -values &lt; 0.0001). Conclusion Superior performance in certain cognitive domains is linked to better glycemic control. Still, since assessing cognitive domains may be timely in clinical routine, a potential rapid approach might be taken by assessing patients’ instrumental abilities to use cell phone or manage medications. Future studies including a larger sample size and a broader spectrum of psychosocial factors are needed to elaborate on our findings.