bluuebunny/crossref_metadata_2025_split huggingface dataset:
Engineering biology and automation–Replicability as a design principle
Authors: Bultelle Matthieu , Casas Alexis , Kitney Richard 
Published: July 2024

AbstractApplications in engineering biology increasingly share the need to run operations on very large numbers of biological samples. This is a direct consequence of the application of good engineering practices, the limited predictive power of current computational models and the desire to investigate very large design spaces in order to solve the hard, important problems the discipline promises to solve. Automation has been proposed as a key component for running large numbers of operations on biological samples. This is because it is strongly associated with higher throughput, and with higher replicability (thanks to the reduction of human input). The authors focus on replicability and make the point that, far from being an additional burden for automation efforts, replicability should be considered central to the design of the automated pipelines processing biological samples at scale—as trialled in biofoundries. There cannot be successful automation without effective error control. Design principles for an IT infrastructure that supports replicability are presented. Finally, the authors conclude with some perspectives regarding the evolution of automation in engineering biology. In particular, they speculate that the integration of hardware and software will show rapid progress, and offer users a degree of control and abstraction of the robotic infrastructure on a level significantly greater than experienced today.
UCSwin‐UNet model for medical image segmentation based on cardiac haemangioma
Authors: Shi Jian‐Ting , Qu Gui‐Xu , Li Zhi‐Jun 
Published: July 2024

AbstractCardiac hemangioma is a rare benign tumour that presents diagnostic challenges due to its variable clinical symptoms, imaging features, and locations. This study proposes a novel segmentation method based on a Convolutional Neural Network (CNN) and Transformer integration, with Swin‐UNet as the core model. We incorporated a U‐shaped convolutional neural network block into the original jump connection of Swin‐UNet. The Binary Cross Entropy Loss (BCE Loss) algorithm was added, and the learning rate decay algorithm was modified to select the appropriate one by comparing loss values. This paper utilizes the publicly available cardiac angioma dataset in AI Studio, consisting of 215 images for training and testing. To evaluate the effectiveness of the proposed model, this paper demonstrates its optimality through ablation experiments and comparisons with other mainstream models. The comparison experiments show that this model improves Dice by approximately 12%, HD95 by approximately 4.7 mm, Accuracy by approximately 6.1%, and F1 score by 0.11 compared to models such as UNet, UNet++, and Deeplabv3+, etc. For the recently proposed SOTO models, such as TransUNet, Swin‐UNet, and MultiResUnet, the Dice score improved by about 1.2%, HD95 reduced by about 1mm, Accuracy improved by about 0.3%, and F1 score improved by 0.015.
Le principe de limitation des doses et la tolérabilité du risque radiologique
Authors: Vaillant L. 
Published: July 2024

Le système de radioprotection vise à protéger l’homme et l’environnement contre les effets nocifs liés à l’exposition aux rayonnements ionisants. Il repose sur 3 principes de gestion : le principe de justification, le principe d’optimisation de la protection et l’application des limites de dose. En ce qui concerne la santé humaine, l’objectif du système est, plus précisément, de prévenir les réactions tissulaires et de maintenir la probabilité d’effets stochastiques à un niveau acceptable, compte-tenu des caractéristiques de la situation d’exposition. Pour les situations d’exposition planifiées, hors exposition médicale, la fixation de limites de dose est nécessaire, non seulement pour atteindre le premier objectif, mais aussi pour contribuer au second. Depuis 1928, la Commission Internationale de Protection Radiologique a développé un système de protection radiologique fondé sur la science, les valeurs et l’expérience, et qui comprend, entre autres, des recommandations portant sur les limites de dose. Cet article a pour but d’explorer la rationalité des valeurs de limites de dose proposées par la Commission.
Innovative approaches in discussions of diabetes among healthcare sector actors in Germany
Authors: Ölcer Sabahat , Scheipers Maike , Erbsland Manfred , Sharma Constanze 
Published: July 2024

AbstractThe dramatic growth in the rate of diabetes prompts serious debates about awareness, early diagnosis, and care interventions. This Viewpoint aims to explore, from the perspectives of healthcare sector representatives, what challenges and difficulties they face in dealing with diabetes and how these can be overcome. We applied the World Café method for group discussions, which enabled us to bring together 50 stakeholders. They identified challenges at institutional and structural levels under the concepts of awareness, digitalisation, and new forms of care and shared their suggestions for feasible solutions. We learned there is a need for a diabetes map of Germany to identify risk groups and that hybrid solutions should be implemented for treatment, care, prevention, and early diagnosis, considering digital infrastructure. Also, the demand for digital innovation in the healthcare system raised concerns about information transparency and data management.
Intimate Utopias: anti-politics in Chinese civil society
Authors: Ning Rundong , Palmer David A. 
Published: July 2024

AbstractCan civil society offer alternative modes of sociality in an authoritarian political regime? Drawing on a study on small “voluntary fellowships” in China, we explore the anti-political values of a specific type of group whose members share a moral code of “civic intimacy” that values an idealized social condition of free, pure and caring social relations, and dream of achieving this utopian condition not through political activism but through the immediate realization of authentic relations of emotional intimacy. Thus, we offer the case of “intimate utopias” as an invitation to question a normative framework prevalent in discourses on civil society that privileges the political consciousness and activism of voluntary associations and ignores or dismisses other motivations and modes of sociality. We draw on Alexander’s Civil Sphere Theory to analyze the moral codes of small groups seen as micro-civil spheres, in which the group builds its identity by expressing, enacting and maintaining its boundaries against a “profane” world of instrumental and political social relations. Our materials lead us to propose a model of Chinese civil sphere dynamics that is diffuse, pluralistic, and centrifugal.
Foreign Direct Investment, Institutions, and Domestic Investment in Developing Countries: Is there a Crowding-Out Effect?
Authors: Magbondé Kadoukpè Gildas , Thiam Djiby Racine , Konté Mamadou Abdoulaye 
Published: July 2024

Abstract
Despite using a common database for a sample of 46 developing countries to evaluate the impact of foreign direct investment (FDI) inflows on domestic investment (DI), two recent articles on the subject (Morrissey and Udomkerdmongkol in World Dev 40(3):437–445. 10.1016/j.worlddev.2011.07.004, 2012 and Farla et al. in World Dev 88:1–9, 2016. 10.1016/j.worlddev.2014.04.008), produced conflicting results. The current paper contributes to the debate by using a larger panel database of 105 developing countries from 2002 to 2018 while controlling for financial development. We make use of the system generalized method of moments (S-GMM). Our findings do not support a crowding-in effect of FDI; instead, we found that FDI crowded out domestic investment. The findings underscore that institutions played no role in the FDI–DI nexus. Furthermore, there is no strong evidence that good institutions promoted investment in developing countries from 2002 to 2018.
Sustainability and climate change: gender perspective in the traditional fishing sector in Ecuador
Authors: Vélez Santana Ana Gabriela , Olivares Barlin Orlando , Murillo Lucas Kamelia Desireth , Serrano Rodríguez Rocío 
Published: July 2024

AbstractIn the traditional fishing sector of Ecuador, integrating a gender perspective enhances sustainability and addresses climate change by recognizing the vital roles and knowledge of women in fisheries management. The objective of this study was to validate the content, comprehension, and construction of the designed questionnaire. Additionally, it is intended to identify perceptions of sustainability and climate change amongst women and men in fisheries, and compare their views on the dimensions of sustainability and climate change. The research implemented a questionnaire with a metrically satisfactory scale, providing information on how men and women perceive sustainability and climate change in the artisanal fishing sector. The data were collected by designing an ad hoc questionnaire denominated “Gender perception as regards sustainability and climate change” following a process in which the validity of the content (experts > 0.5823; Content Validity Ratio (CVR) > 6.1; Content Validity Index (CVI) > 0.852), decompression (pilot study, N = 30) and construct (KMO = 0.71) were analyzed. The results of the internal consistency reliability analysis indicated that the Likert scale had a high index of reliability, as evidenced by Cronbach’s Alpha coefficient of 0.70. This analysis provided evidence of the structure and validity of the scale, resulting in a reliable, integral, and short tool with which to measure perceptions of sustainability and climate change. The questionnaire was administered to 1464 people employed in the traditional fishing industry (17.14% women) in 40 fishing community ports near the coastal profile of Ecuador (Esmeraldas and Manabí). Most of those surveyed stated that the current traditional fishing quotas are not very sustainable in the long term (47.10%, n = 690) and that climate change may significantly negatively impact catch rates (50.30%, n = 736). Finally, the Wilcoxon test of tests confirmed that women had significantly more positive attitudes than men towards sustainability (3.03 ± 0.69) and climate change (3.35 ± 0.64).
Real-time stress monitoring in a child-friendly court: a repeated measures field study
Authors: Rodríguez-Pellejero Jose M. , Mulero-Henríquez Itahisa , Santana Amador Zaira 
Published: July 2024

AbstractMost child-friendly court reforms are based on the assumption that the court setting is a stressful experience. Our objective was to analyze the acute stress levels of children who come to testify in a child-friendly investigative court using a person-by-environment approach. We employed a simple repeated measures design for this study, which included 42 minors of Spanish nationality who provided testimony as victims of violence in Spain’s inaugural Child-Friendly Court. Among the participants, 73.8% were girls with a mean age of 12.5 years (SD = 3.4), and 26.2% were boys with a mean age of 11.4 years (SD = 3.1). Stress levels were measured using heart rate variability, and anxiety was assessed using state-trait questionnaires. The study found that the mean percentile of anxiety remained at moderate levels, while stress remained at medium-low levels. No significant differences in anxiety or stress were found based on gender or type of crime. Repeated measures ANOVA revealed significant differences in stress levels among different court settings. Stress levels in the waiting room and Gesell room were significantly higher than those in the decompression room. In conclusion, the experience of testifying in a Gesell room about the aggressions suffered increases stress levels. However, in this sample and for this Pilot Court, the stress levels observed during testimony did not reach levels considered detrimental to children’s health. Our results lend support to the new European Judicial Policy, which includes the establishment and operation of Specialized Courts adapted to the needs of children and adolescents.
Exploring the impact of artificial intelligence on higher education: The dynamics of ethical, social, and educational implications
Authors: Al-Zahrani Abdulrahman M. , Alasmari Talal M. 
Published: July 2024

AbstractThe increasing prevalence of Artificial Intelligence (AI) in higher education underscores the necessity to explore its implications on ethical, social, and educational dynamics within the sector. This study aims to comprehensively investigate the impact of AI on higher education in Saudi Arabia, delving into stakeholders’ attitudes, perceptions, and expectations regarding its implementation. The research hones in on key facets of AI in higher education, encompassing its influence on teaching and learning, ethical and social implications, and the anticipated role of AI in the future. Employing a quantitative approach through an online survey questionnaire (N = 1113), this study reveals positive attitudes toward AI in higher education. Stakeholders recognize its potential to enhance teaching and learning, streamline administration, and foster innovation. Emphasis is placed on ethical considerations and guidelines for AI implementation, highlighting the imperative need to address issues such as privacy, security, and bias. Participants envision a future characterized by personalized learning experiences, ethically integrated AI, collaboration, and ongoing support for lifelong learning. Furthermore, the results illuminate the intricate interplay between AI usage, purposes, difficulties, and their impact on attitudes, perceptions, and future implications. Accordingly, the research underscores the necessity for a comprehensive understanding of AI integration, considering not only its technical aspects but also the ethical, social, and educational dimensions. By acknowledging the role of AI uses, AI usage purposes, and addressing associated difficulties, educational stakeholders can work towards harnessing the benefits of AI while ensuring responsible and effective implementation in teaching and learning contexts.
AstroDLLC: Efficiently Reducing Storage and Transmission Costs for Massive Solar Observation Data via Deep Learning-based Lossless Compression
Authors: Liu Xiaoying , Liu Yingbo , Yang Lei , Wu Shichao , Jiang Rong , Xiang Yongyuan 
Published: July 2024

Abstract
Effective data compression technology is essential for addressing data storage and transmission needs, especially given the escalating volume and complexity of data generated by contemporary astronomy. In this study, we propose utilizing deep learning-based lossless compression techniques to improve compression efficiency. We begin with a qualitative and quantitative analysis of the temporal and spatial redundancy in solar observation data. Based on this analysis, we introduce a novel deep learning-based framework called AstroDLLC for the lossless compression of astronomical solar images. AstroDLLC first segments high-resolution images into blocks to ensure that deep learning model training does not rely on high-computation power devices. It then addresses the non-normality of the partitioned data through simple reversible computational methods. Finally, it utilizes Bit-swap to train deep learning models that capture redundant features across multiple image frames, thereby enhancing compression efficiency. Comprehensive evaluations using data from the New Vacuum Solar Telescope reveal that AstroDLLC achieves a maximum compression ratio of 3.00 per image, surpassing Gzip, RICE, and other lossless technologies. The performance of AstroDLLC underscores its potential to address data compression challenges in astronomy.
Diversity-in-Unity: Art Criticism in Conversation
Authors: Kassman-Tod Joseph 
Published: July 2024

Abstract
What is it for art-critical conversation to be productively and appropriately responsive to a work of fine art? Broadly, contemporary work on the nature and purpose of aesthetic discourse tends to prioritize one of two poles: the need for agreement in judgement and/or sensibility, and the flourishing of individuality through aesthetic response. I propose that these alternatives each express the legacy of Kantian and Schillerian thought, respectively. Furthermore, I argue that a favourable approach is available if we look to Friedrich Hölderlin’s way of characterizing the kind of communication that can occur between friends. This is a framework that binds together a plurality of perspectives and voices with what it is for one’s individuality to flourish in and through aesthetic response. Drawing on Hölderlin’s thought, I submit Diversity-in-Unity as a norm on art-critical conversation. In art criticism, individual perspectives need to be reciprocally shaped in new and surprising ways.
Evaluation of the analytical and clinical performance of the Abbott Alinity m instrument for the quantification of HIV-1 RNA plasma viral load in a reference laboratory in Rio de Janeiro, Brazil
Authors: Costa Diego S , Quintana Marcel S B , Grinsztejn Beatriz , Veloso Valdiléa G , Silva Simone C C 
Published: July 2024

Abstract

Objectives
We sought to evaluate the analytical performance of the Alinity m system (Abbott Molecular) and to compare the clinical performance of HIV-1 assays on the Alinity m and m2000 RealTime platforms (Abbott Molecular).

Methods
The sensitivity, precision, and accuracy of the Alinity m instrument were determined using a panel of standard samples (n = 46). The carryover effect was assessed by analyzing HIV-negative clinical samples (n = 20). Clinical performance of the Alinity m and m2000 RealTime platforms was compared using surplus HIV-positive patient plasma samples (n = 39).

Results
The Alinity m HIV-1 assay demonstrated 100% sensitivity, a high precision (coefficient of variation (s/x̄) × 100 ≤1.5% [SD ≤ 0.05] logarithm to base 10 [log10] copies/mL), and partial accuracy over the quantification range. Analysis of clinical samples suggested that the Alinity m HIV-1 assay does not cause carryover effect and produced a mean bias of 0.209 log10 copies/mL (95% CI, 0.153-0.265) compared with the m2000 RealTime System.

Conclusions
The Alinity m instrument’s performance correlated to that of the m2000 RealTime platform and showed excellent sensitivity, precision, and accuracy, despite producing overquantification not clinically relevant for disease management. Furthermore, use of the Alinity m platform can reduce turnaround time.
Primary intestinal T-cell and natural killer–cell lymphomas: Clinicopathologic and prognostic features of 79 cases in South China
Authors: Guo Na , Zhou Chunlu , Wang Yu , Fu Jia , Chen Yueqiong , Wang Fang , Rao Huilan 
Published: July 2024

Abstract

Objectives
Primary intestinal T-cell and natural killer–cell lymphomas (PITNKLs) are aggressive and make pathologic diagnoses in biopsy specimens challenging. We analyzed different subtypes’ clinicopathologic features and treatment outcomes.

Methods
Seventy-nine PITNKL cases were characterized by clinical, morphologic, and immunohistochemical features.

Results
Among 79 cases of PITNKLs from 2008 to 2017 in our institution, 40 (50.63%) were extranodal NK/T-cell lymphoma, nasal type (ENKTL); 32 (40.51%) monomorphic epitheliotropic intestinal T-cell lymphoma (MEITL); 6 (7.59%) intestinal T-cell lymphoma, not otherwise specified; and 1 (1.27%) indolent T-cell lymphoma of the gastrointestinal tract. Small intestine (n = 47) was the most common site. Monomorphic epitheliotropic intestinal T-cell lymphoma showed distinctive clinicopathologic features from other subtypes with high expression (96.88%) of spleen tyrosine kinase (SYK) and PD-L1 (87.5%) and the poorest prognosis (P &lt; .001). CD30 was highly expressed in ENKTL (9/17, 57.94%) and irrelevant to prognosis (P &gt; .05).

Conclusions
Cases of PITNKL are biologically heterogeneous; most have a dismal prognosis. SYK and PD-L1 expression might be a significant marker for MEITL and helps differential diagnosis.
Assessing etiological heterogeneity for multinomial outcome with two-phase outcome-dependent sampling design
Authors: Reifeis Sarah A , Hudgens Michael G , Troester Melissa A , Love Michael I 
Published: July 2024

Abstract
Etiological heterogeneity occurs when distinct sets of events or exposures give rise to different subtypes of disease. Inference about subtype-specific exposure effects from two-phase outcome-dependent sampling data requires adjustment for both confounding and the sampling design. Common approaches to inference for these effects do not necessarily adjust appropriately for these sources of bias, or allow for formal comparisons of effects across different subtypes. We show that using inverse probability weighting (IPW) to fit a multinomial model to yield valid inference with this sampling design for subtype-specific exposure effects, and contrasts thereof. We compare the IPW approach to common regression-based methods for assessing exposure effect heterogeneity using simulations. The methods are applied to estimate subtype-specific effects of various exposures on breast cancer risk in the Carolina Breast Cancer Study (1993-2001).
Vaping transitions and incident depressive symptoms among young adults: a marginal structural model analysis
Authors: Harlow Alyssa F , Stokes Andrew C , Han Dae-Hee , Leventhal Adam M , Barrington-Trimis Jessica L 
Published: July 2024

Abstract
The extent to which vaping influences depression is unclear but could be estimated through application of novel epidemiologic methods. Among a prospective cohort of young adults from California who screened negative for depression, we estimated repeated-measures marginal structural models to examine the association of 4 vaping transitions from time T to T + 1 (persistent use, discontinuation, initiation, persistent nonuse) with risk of clinically significant depressive symptoms at T + 1, simultaneously across three ~ 1.5-year time intervals between 2017 and 2021. Stabilized inverse probability of treatment and censoring weights adjusted for time-dependent confounders and selection bias. Among n = 3496 observations (1806 participants, mean pooled baseline age = 19.5), 8.1% reported persistent vaping from T to T + 1, 6.2% reported discontinuation (ie, use at T and no use at T + 1), 6.5% initiated e-cigarettes (ie, no use at T and use at T + 1), and 79.2% reported persistent nonuse at both time points. Compared to persistent vaping at 2 waves, persistent nonuse (relative risk [RR] = 0.76; 95% CI, 0.62-0.93) and discontinuation (RR = 0.71; 95% CI, 0.52-0.96) were associated with lower risk of depression. Associations were robust to sensitivity analyses, including restricting to tobacco-naive participants and varying temporal assumptions to reduce potential for reverse causation. Young adults who consistently avoid or discontinue vaping may be protected from depressive symptom occurrence.