bluuebunny/crossref_metadata_2025_split huggingface dataset:
Promoting Safe Sleep: The Role of Doulas in Black Communities
Authors: Howard Stephenie , Dancy Shannon 
Published: June 2024

Abstract
Background
Accidental suffocation and strangulation in bed continues to be a critical issue in Black communities, despite the widespread initiatives to promote safe sleep. Doulas are in an ideal position to promote safe sleep, particularly in hard-to-reach communities that are more distrusting of conventional medical providers. Little is known about their practices and perspectives for putting infants down to rest. This study informs this gap in the literature.

Purpose
The purpose of this study was to explore doulas’ perspectives and practices in the field of putting infants down to sleep. The researchers aimed to determine whether Black caregivers that work with doulas are likely to encounter safe sleep education.

Methods
The researchers used a descriptive approach to inquiry. They conducted three focus groups with a total of 17 Black doulas. The researchers independently and critically reviewed the transcriptions and observation notes from each group to identify codes. They then triangulated the results using Artificial Intelligence-driven tools.

Findings
The study found four themes: (1) Individualized Services, (2) Cultural Sensitivity, (3) Negotiating Safety, and (4) Safe Sleep Education.

Conclusions
The study concluded doulas have a commitment to promoting safe sleep. The researchers found that doulas engage in practices that help caregivers to integrate safe sleep practices into their lifestyle and to adapt them to meet their needs. The researchers also documented a desire for more information and instruction on safe sleep among practicing doulas.
Central nervous system regulation of diffuse glioma growth and invasion: from single unit physiology to circuit remodeling
Authors: Picart Thiebaud , Hervey-Jumper Shawn 
Published: June 2024

Abstract
Purpose
Understanding the complex bidirectional interactions between neurons and glioma cells could help to identify new therapeutic targets. Herein, the techniques and application of novel neuroscience tools implemented to study the complex interactions between brain and malignant gliomas, their results, and the potential therapeutic opportunities were reviewed.

Methods
Literature search was performed on PubMed between 2001 and 2023 using the keywords “glioma”, “glioblastoma”, “circuit remodeling”, “plasticity”, “neuron networks” and “cortical networks”. Studies including grade 2 to 4 gliomas, diffuse midline gliomas, and diffuse intrinsic pontine gliomas were considered.

Results
Glioma cells are connected through tumour microtubes and form a highly connected network within which pacemaker cells drive tumorigenesis. Unconnected cells have increased invasion capabilities. Glioma cells are also synaptically integrated within neural circuitry. Neurons promote tumour growth via paracrine and direct electrochemical mechanisms, including glutamatergic AMPA-receptors. Increased glutamate release in the tumor microenvironment and loss of peritumoral GABAergic inhibitory interneurons result in network hyperexcitability and secondary epilepsy. Functional imaging, local field potentials and subcortical mapping, performed in awake patients, have defined patterns of malignant circuit remodeling. Glioma-induced remodeling is frequent in language and even motor cortical networks, depending on tumour biological parameters, and influences functional outcomes.

Conclusion
These data offer new insights into glioma tumorigenesis. Future work will be needed to understand how tumor intrinsic molecular drivers influence neuron-glioma interactions but also to integrate these results to design new therapeutic options for patients.
Nested Entity Recognition Method Based on Multidimensional Features and Fuzzy Localization
Authors: Zhao Hua , Bai Xueyang , Zeng Qingtian , Zhou Heng , Bai Xuemei 
Published: June 2024

AbstractNested named entity recognition (NNER) aims to identify potentially overlapping named entities. Sequence labeling method and span-based method are two commonly used methods in nested named entity recognition. However, the linear structure of sequence labeling method results in relatively poor performance, and span-based method requires traversing all spans, which brings very high time complexity. All of them fail to effectively leverage the positional dependencies between internal and external entities. In order to improve these issues, this paper proposed a nested entity recognition method based on Multidimensional Features and Fuzzy Localization (MFFL). Firstly, this method adopted the shared encoding that fused three features of characters, words, and parts of speech to obtain a multidimensional feature vector representation of the text and obtained rich semantic information in the text. Secondly, we proposed to use the fuzzy localization to assist the model in pinpointing the potential locations of entities. Finally, in the entity classification, it used a window to expand the sub-sequence and enumerate possible candidate entities and predicted the classification labels of these candidate entities. In order to alleviate the problem of error propagation and effectively learn the correlation between fuzzy localization and classification labels, we adopted multi-task learning strategy. This paper conducted several experiments on two public datasets. The experimental results showed that the proposed method achieves ideal results in both nested entity recognition and non-nested entity recognition tasks, and significantly reduced the time complexity of nested entity recognition.
Ferritinophagy and Ferroptosis in Cerebral Ischemia Reperfusion Injury
Authors: Liu Xiaoyue , Xie Canming , Wang Yao , Xiang Jing , Chen Litong , Yuan Jia , Chen Chutao , Tian Haomei 
Published: June 2024

AbstractCerebral ischemia–reperfusion injury (CIRI) is the second leading cause of death worldwide, posing a huge risk to human life and health. Therefore, investigating the pathogenesis underlying CIRI and developing effective treatments are essential. Ferroptosis is an iron-dependent mode of cell death, which is caused by disorders in iron metabolism and lipid peroxidation. Previous studies demonstrated that ferroptosis is also a form of autophagic cell death, and nuclear receptor coactivator 4(NCOA4) mediated ferritinophagy was found to regulate ferroptosis by interfering with iron metabolism. Ferritinophagy and ferroptosis are important pathogenic mechanisms in CIRI. This review mainly summarizes the link and regulation between ferritinophagy and ferroptosis and further discusses their mechanisms in CIRI. In addition, the potential treatment methods targeting ferritinophagy and ferroptosis for CIRI are presented, providing new ideas for the prevention and treatment of clinical CIRI in the future.
Mapping varieties of farmers’ experience in the digital transformation: a new perspective on transformative dynamics
Authors: Knitsch Valentin , Daniel Lea , Welz Juliane 
Published: June 2024

AbstractThe COVID-19 pandemic has highlighted the vulnerabilities of the global food system, underscoring the need for a sustainable transformation of the food system. With the advent of new digital technologies emerging as critical tools for achieving the agricultural shift, it is important to understand farmers’ adoption decisions better. This study aims to systematically uncover and delineate the varied forms of experiences farmers have with new digital technologies and investigate how these experiences impact the organizational adoption decisions on the farm. In this study, twenty interviews with apple growers, wine makers, and intermediaries from a German region encompassing Saxony, Thuringia, and Saxony–Anhalt were conducted and analyzed. Through the lens of the modified adaptive capacity wheel and alongside the interview data, five relevant types of experiences were identified. These types of experiences are closely related to farmers’ adaptation motivation (AM) and adaptation belief (AB), potentially influencing their future decisions about the adoption of digital technologies. This study highlights the importance of creating meaningful experiences with technologies to strengthen farmers’ AM and AB.
The impact of orthographic knowledge on reading development in German third graders
Authors: Marković Jelena , Brod Garvin , Tetzlaff Leonard 
Published: June 2024

AbstractOrthographic knowledge (i.e., the knowledge of conventions of a written language) has been identified as a predictor of both basic and higher-level reading processes, however, mostly examined in a cross-sectional design. It remains unclear, whether and how orthographic knowledge contributes uniquely in explaining differences in the acquisition of reading skills. The aim of this study was therefore to examine the effects of orthographic knowledge on basic (word-reading) and higher level (sentence- and text-comprehension) reading development in German third graders over the course of a schoolyear. 325 German speaking children (mean age = 8.35 years, standard deviation = 0.57; 49% girls) participated in the study, 100 of whom also provided data on vocabulary and naming speed. Data were analyzed via multiple regression in hierarchical models with random intercepts, since the children were nested in classes. The longitudinal analyses showed that orthographic knowledge contributes to the development of reading on the word- and text-level, over and above vocabulary knowledge and naming speed. These findings support and extend previous results, showing that orthographic knowledge not only supports reading processes, but also plays an important role in reading development over the course of a schoolyear. The fact that no significant interaction between orthographic knowledge and reading comprehension could be found implies that orthographic knowledge is relevant for reading development in German third graders, independent of the level of reading proficiency. The present findings suggest that orthographic knowledge should be considered in reading instruction at school as well as during reading related interventions.
Trends and Motivations in Critical Quantitative Educational Research: A Multimethod Examination Across Higher Education Scholarship and Author Perspectives
Authors: Winkler Christa E. , Wofford Annie M. 
Published: June 2024

AbstractTo challenge “objective” conventions in quantitative methodology, higher education scholars have increasingly employed critical lenses (e.g., quantitative criticalism, QuantCrit). Yet, specific approaches remain opaque. We use a multimethod design to examine researchers’ use of critical approaches and explore how authors discussed embedding strategies to disrupt dominant quantitative thinking. We draw data from a systematic scoping review of critical quantitative higher education research between 2007 and 2021 (N = 34) and semi-structured interviews with 18 manuscript authors. Findings illuminate (in)consistencies across scholars’ incorporation of critical approaches, including within study motivations, theoretical framing, and methodological choices. Additionally, interview data reveal complex layers to authors’ decision-making processes, indicating that decisions about embracing critical quantitative approaches must be asset-based and intentional. Lastly, we discuss findings in the context of their guiding frameworks (e.g., quantitative criticalism, QuantCrit) and offer implications for employing and conducting research about critical quantitative research.
Magnetic Reconnection and Associated Particle Acceleration in High-Energy Astrophysics
Authors: Guo Fan , Liu Yi-Hsin , Zenitani Seiji , Hoshino Masahiro 
Published: June 2024

AbstractMagnetic reconnection occurs ubiquitously in the universe and is often invoked to explain fast energy release and particle acceleration in high-energy astrophysics. The study of relativistic magnetic reconnection in the magnetically dominated regime has surged over the past two decades, revealing the physics of fast magnetic reconnection and nonthermal particle acceleration. Here we review these recent progresses, including the magnetohydrodynamic and collisionless reconnection dynamics as well as particle energization. The insights in astrophysical reconnection strongly connect to the development of magnetic reconnection in other areas, and further communication is greatly desired. We also provide a summary and discussion of key physics processes and frontier problems, toward a better understanding of the roles of magnetic reconnection in high-energy astrophysics.
How to act on what you know
Authors: Heil Roman 
Published: June 2024

AbstractThat we may rely on our knowledge seems like a platitude. Yet, the view that knowledge is sufficient for permissible reliance faces a major challenge: when much hangs on whether we know, relying on our knowledge seems to license irrational action. Unfortunately, extant proposals to meet this challenge (Hawthorne & Stanley, 2008; Williamson, 2005a; Schulz, 2017, 2021b) either fail to make the correct predictions about high-stakes cases or, as I will argue, face a substantial objection. In this paper, I will offer two novel proposals for defending the sufficiency of knowledge for permissible reliance. My favoured proposal, which I call Flexible Fallibilism, is based on the idea that stakes can affect how we rely on our knowledge and how our knowledge determines what is rational for us to do. Besides making the correct predictions about high-stakes cases, I will argue that Flexible Fallibilism also provides us with a knowledge-based account of when to simplify our practical reasoning. Afterwards, I will present another proposal, which I call Dual Infallibilism, that combines two recent claims by Moss (2013, 2018) and Jackson (2019a) about credal knowledge and the metaphysics of doxastic states. While the offered proposals share various virtues, I will argue that we ultimately should prefer Flexible Fallibilism.
Students’ voices—the dynamic interactions between learning preferences, gender, learning disabilities, and achievements in science studies
Authors: Aloni Oshra , Zion Michal , Spektor-Levy Ornit 
Published: June 2024

AbstractStudents’ individual characteristics influence the effectiveness of instruction and learning and, therefore, the depth of learning. This study brings forth the voices of middle school students regarding their science learning preferences through four modalities: visual, auditory, sensorimotor, and agency support. We examined the relationship between the students’ science learning preferences and three of their personal characteristics (gender, having or not having a learning disability, and level of scientific knowledge and skills). The study encompassed 305 students (166 girls) and applied a quantitative methodology employing two questionnaires: Scientific Knowledge and Skills and Learning Preferences. Analysis of variance and multiple regressions revealed that the participants favored all four learning modalities, with a significant preference for learning via visual and sensorimotor means. Girls significantly preferred learning preferences via visuals and agency support. A significant correlation was found between the level of preference for learning science via auditory means and the students’ level of scientific knowledge and skills. Hierarchical regression analysis showed a significant positive contribution of gender and preference for learning science via auditory means but no contribution of having a learning disability to the students’ level of scientific knowledge and skills. The study results show the importance of implementing multi-faceted instructional strategies to address students’ diversity and learning preferences. Our findings underscore the need for educators and policymakers to be attentive to the students’ voices when striving to narrow gaps, achieve equality among students, and elevate students’ knowledge and skills in science studies.
An ethical assessment of professional opinions on concerns, chances, and limitations of the implementation of an artificial intelligence-based technology into the geriatric patient treatment and continuity of care
Authors: Parchmann Nina , Hansen David , Orzechowski Marcin , Steger Florian 
Published: June 2024

AbstractWith the introduction of an artificial intelligence-based dashboard into the clinic, the project SURGE-Ahead responds to the importance of improving perioperative geriatric patient treatment and continuity of care. The use of artificial intelligence to process and analyze data automatically, aims at an evidence-based evaluation of the patient’s health condition and recommending treatment options. However, its development and introduction raise ethical questions. To ascertain professional perspectives on the clinical use of the dashboard, we have conducted 19 semi-structured qualitative interviews with head physicians, computer scientists, jurists, and ethicists. The application of a qualitative content analysis and thematic analysis enabled the detection of main ethical concerns, chances, and limitations. These ethical considerations were categorized: changes of the patient-physician relationship and the current social reality are expected, causing de-skilling and an active participation of the artificial intelligence. The interviewees anticipated a redistribution of human resources, time, knowledge, and experiences as well as expenses and financing. Concerns of privacy, accuracy, transparency, and explainability were stated, and an insufficient data basis, an intensifying of existing inequalities and systematic discrimination considering a fair access emphasized. Concluding, the patient-physician relationship, social reality, redistribution of resources, fair access, as well as data-related aspects of the artificial intelligence-based system could conflict with the ethical principles of autonomy, non-maleficence, beneficence, and social justice. To respond to these ethical concerns, a responsible use of the dashboard and a critical verification of therapy suggestions is mandatory, and the application limited by questions at the end of life and taking life-changing decisions.
Gestational Diabetes Risk and Low Birth Weight After Metabolic Bariatric Surgery: a Complex Interplay to be Balanced
Authors: Rodrigues-Martins Diana , Andrade Sara , Pereira Sofia S. , Braga Jorge , Nunes Inês , Monteiro Mariana P. 
Published: June 2024

Abstract
Introduction
Metabolic bariatric surgery (MBS) is known to improve the obstetric outcomes of women with obesity and to prevent gestational diabetes (GD). To what extent does MBS decreases GD, without incurring at additional risks is a matter of concern.

Methods
A retrospective case–control study to compare the pregnancy outcomes of women previously submitted to MBS to those of age and preconception body mass index (PC BMI) matched non-operated controls.

Results
Pregnancies of women after MBS (n = 79) and matched controls (n = 79) were included. GD was significantly less frequent after MBS (7.6% vs. 19%; p = 0.03). Fasting blood glucose (76.90 ± 0.77 vs 80.37 ± 1.15 mg/dl, p < 0.05; 70.08 ± 1.34 vs. 76.35 ± 0.95 mg/dl; p < 0.05, first and second trimesters respectively) and birth weight (2953.67 ± 489.51 g vs. 3229.11 ± 476.21 g; p < 0.01) were significantly lower after MBS when compared to controls. The occurrence of small-for-gestational-age (SGA) was more frequent after MBS (22.8% vs. 6.3%; p < 0.01), but no longer significant after controlling for smoking habits (15.5% vs. 6%, p = 0.14). There were no significant differences in gestational weight gain, prematurity rate nor mode of delivery between groups.

Conclusion
MBS was associated with a lower prevalence of GD than observed in non-operated women with the same age and BMI. After controlling for smoking, this occurred at the expense of a lower birth weight. Our data reinforces the hypothesis that MBS has body weight independent effects on glucose kinetics during pregnancy with distinctive impacts for mother and offspring, which need to be balanced.

Graphical Abstract
The impact of duration and severity of obesity exposure on cardiometabolic health
Authors: van Ede Elisabeth S. , Nienhuijs Simon W. , Goossens Gijs H. , Bouwman R. Arthur , Buise Marc P. 
Published: June 2024

Abstract
Purpose
Duration and severity of exposure to excess adipose tissue are important risk factors for complications, but are generally not examined in conjunction. We developed a metric considering both factors to examine the relationship between obesity-related complications and parameters of cardiometabolic health in patients undergoing a metabolic bariatric procedure (MBS).

Materials & Methods
Data from patients screened for primary MBS between 2017 and 2021 were analyzed. The Obesity Exposure score (OBES), based on self-reported years of life with a BMI ≥ 25 kg/m2, was calculated with increased weighting applied for higher BMI categories. Multivariate logistic regression analysis was performed, adjusting for multiple potential confounders.

Results
In total, 2441 patients were included (76% female, age 42.1 ± 11.9 years, BMI 42.0 ± 4.9 kg/m2). OBES was positively related to myocardial infarction, atrial fibrillation and renal function loss (per 10 OBES-units: OR 1.31, 95%CI [1.11–1.52], p = 0.002; OR 1.23, 95% CI [1.06–1.44], p = 0.008; and OR 1.26, 95% CI [1.04–1.51], p = 0.02). OBES was negatively associated with obstructive sleep apnea syndrome (OSAS) (OR 0.90, 95% CI [0.83–0.98], p = 0.02). In patients without obesity-related complications, OBES was related to lower HbA1c and higher HDL-cholesterol levels (ß -0.5 95% CI [-0.08-.0.02] p < 0.001 and ß 0.02 [0.00–0.04] p = 0.01).

Conclusion
OBES was related to myocardial infarction, atrial fibrillation and renal function loss in patients applying for MBS. OBES was negatively related to OSAS, possibly because undiagnosed years were not taken into account. In the absence of obesity-related complications, OBES was not related to metabolic blood markers. Our data may aid in improving perioperative risk assessments.

Graphical Abstract
Human Amniotic Epithelial Stem Cells Alleviate Autoimmune Premature Ovarian Insufficiency in Mice by Targeting Granulosa Cells via AKT/ERK Pathways
Authors: Ye Xiaohang , Lin Yifeng , Ying Yanyun , Shen Xuezhi , Ni Feida , Wang Feixia , Chen Jianpeng , Zhao Wei , Yu Xiaoming , Zhang Dan , Liu Yifeng 
Published: June 2024

AbstractAutoimmune factors play an important role in premature ovarian insufficiency (POI). Human amniotic epithelial stem cells (hAESCs) have recently shown promising treatment effects on chemotherapy-induced POI. However, the therapeutic efficacy and underlying mechanisms of hAESCs in autoimmune POI remain to be investigated. In this study, we showed for the first time that intravenous transplantation of hAESCs could reside in the ovary of zona pellucida 3 peptide (pZP3) induced autoimmune POI mice model for at least 4 weeks. hAESCs could improve ovarian function and fertility, alleviate inflammation and reduce apoptosis of granulosa cells (GCs) in autoimmune POI mice. The transcriptome analysis of mice ovaries and in vitro co-cultivation experiments suggest that activation of the AKT and ERK pathways may be the key mechanism in the therapeutic effect of hAESCs. Our work provides the theoretical and experimental foundation for optimizing the administration of hAESCs, as well as the clinical application of hAESCs in autoimmune POI patients.
Graphical Abstract
Complete Description of Local Conservation Laws for Generalized Dissipative Westervelt Equation
Authors: Sergyeyev Artur 
Published: June 2024

AbstractWe give a complete description of inequivalent nontrivial local conservation laws of all orders for a natural generalization of the dissipative Westervelt equation and, in particular, show that the equation under study admits an infinite number of inequivalent nontrivial local conservation laws for the case of more than two independent variables.