bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development trends and knowledge framework of artificial intelligence (AI) applications in oncology by years: a bibliometric analysis from 1992 to 2022
Authors: Koçak Murat , Akçalı Zafer 
Published: October 2024

Abstract
Purpose
Oncology is the primary field in medicine with a high rate of artificial intelligence (AI) use. Thus, this study aimed to investigate the trends of AI in oncology, evaluating the bibliographic characteristics of articles. We evaluated the related research on the knowledge framework of Artificial Intelligence (AI) applications in Oncology through bibliometrics analysis and explored the research hotspots and current status from 1992 to 2022.

Methods
The research employed a scientometric methodology and leveraged scientific visualization tools such as Bibliometrix R Package Software, VOSviewer, and Litmaps for comprehensive data analysis. Scientific AI-related publications in oncology were retrieved from the Web of Science (WoS) and InCites from 1992 to 2022.

Results
A total of 7,815 articles authored by 35,098 authors and published in 1,492 journals were included in the final analysis. The most prolific authors were Esteva A (citaition = 5,821) and Gillies RJ (citaition = 4288). The most active institutions were the Chinese Academy of Science and Harward University. The leading journals were Frontiers ın Oncology and Scientific Reports. The most Frequent Author Keywords are "machine learning", "deep learning," "radiomics", "breast cancer", “melanoma” and "artificial intelligence," which are the research hotspots in this field. A total of 10,866 Authors' keywords were investigated. The average number of citations per document is 23. After 2015, the number of publications proliferated.

Conclusion
The investigation of Artificial Intelligence (AI) applications in the field of Oncology is still in its early phases especially for genomics, proteomics, and clinicomics, with extensive studies focused on biology, diagnosis, treatment, and cancer risk assessment. This bibliometric analysis offered valuable perspectives into AI's role in Oncology research, shedding light on emerging research paths. Notably, a significant portion of these publications originated from developed nations. These findings could prove beneficial for both researchers and policymakers seeking to navigate this field.
In Defense of ‘Surveillance Capitalism’
Authors: Königs Peter 
Published: October 2024

AbstractCritics of Big Tech often describe ‘surveillance capitalism’ in grim terms, blaming it for all kinds of political and social ills. This article counters this pessimistic narrative, offering a more favorable take on companies like Google, YouTube, and Twitter/X. It argues that the downsides of surveillance capitalism are overstated, while the benefits are largely overlooked. Specifically, the article examines six critical areas: i) targeted advertising, ii) the influence of surveillance capitalism on politics, iii) its impact on mental health, iv) its connection with government surveillance, v) its effects on the rule of law and social trust, and vi) privacy concerns. For each area, it will be argued that concerns about surveillance capitalism are unfounded or exaggerated. The article also explores some benefits of the services provided by these technology companies and concludes with a discussion of the practical implications. Throughout, the article draws on empirical evidence relating to the societal and political impact of digital technologies.
The long non-coding RNA NEAT1 contributes to aberrant STAT3 signaling in pancreatic cancer and is regulated by a metalloprotease-disintegrin ADAM8/miR-181a-5p axis
Authors: Gao Yutong , Zandieh Kimia , Zhao Kai , Khizanishvili Natalia , Fazio Pietro Di , Yu Xiangdi , Schulte Leon , Aillaud Michelle , Chung Ho-Ryun , Ball Zachary , Meixner Marion , Bauer Uta-Maria , Bartsch Detlef Klaus , Buchholz Malte , Lauth Matthias , Nimsky Christopher , Cook Lena , Bartsch Jörg W. 
Published: October 2024

Abstract
Purpose
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers and several studies demonstrate that STAT3 has critical roles throughout the course of PDAC pathogenesis.

Methods
TCGA, microarray, and immunohistochemistry data from a PDAC cohort were used for clinical analyses. Panc89 cells with ADAM8 knockout, re-expression of ADAM8 mutants, and Panc1 cells overexpressing ADAM8 were generated. Gene expression analyses of ADAM8, STAT3, long non-coding (lnc) RNA NEAT1, miR-181a-5p and ICAM1 were performed by quantitative PCR. Subcellular fractionation quantified NEAT1 expression in cytoplasm and nucleus of PDAC cell lines. Cell proliferation, scratch, and invasion assays were performed to detect growth rate, migration and invasion capabilities of cells. Gain and loss of function experiments were carried out to investigate the biological effects of lncRNA NEAT1 and miR-181a-5p on PDAC cells and downstream genes. Dual-luciferase reporter gene assay determined interaction and binding sites of miR-181a-5p in lncRNA NEAT1. Pull down assays, RNA binding protein immunoprecipitation (RIP), and ubiquitination assays explored the molecular interaction between lncRNA NEAT1 and STAT3.

Results
High ADAM8 expression causes aberrant STAT3 signaling in PDAC cells and is positively correlated with NEAT1 expression. NEAT1 binding to STAT3 was confirmed and prevents STAT3 degradation in the proteasome as increased degradation of STAT3 was observed in ADAM8 knockout cells and cells treated with bortezomib. Furthermore, miRNA-181a-5p regulates NEAT1 expression by direct binding to the NEAT1 promoter.

Conclusion
ADAM8 regulates intracellular STAT3 levels via miR-181a-5p and NEAT1 in pancreatic cancer.
Doing welfare in German secondary schools—How students’ welfare receipt becomes visible in teacher-student interactions and how teachers perceive these students
Authors: Yendell Oscar , Claus Carolina , Budde Jürgen , Karst Karina 
Published: October 2024

AbstractWelfare recipients (e.g., “Bürgergeld”) generally are subject to negative stereotyping, but it is unclear whether students’ welfare receipt plays a role in teacher-student interactions, and if so, what. We conducted eight focus groups with 27 teachers and analyzed them using grounded theory to investigate how teachers characterize welfare-related teacher-student interactions. In addition, we examined how teachers perceive these students and the role of stereotypes in these perceptions. Welfare receipt becomes apparent mostly in bureaucratic care interactions in which teachers support corresponding students in financing school participation possibilities. The familial financial situation meets the school’s participation requirements in these teacher-student interactions. Teachers’ feeling of responsibility for this support varies. Most teachers perceive poverty-related shame among students in these interactions, while others do not. Accordingly, the need for a sensitive approach in these interactions is assessed differently. Teachers mentioned hardly any perspectives on the students themselves but on parents receiving welfare (e.g., low educational responsibility) and assumed parents pass on this behavior to their children. In some cases, this leads to negative educational expectations toward corresponding students, which could implicitly influence teaching-related teacher-student interactions. The results provide initial indications for subsequent negative self-perceptions of students on welfare about their social situation at school.
Association of handgrip strength and risk of cardiovascular disease: a population-based cohort study
Authors: Zhang Fan , Luo Bingru , Bai Yan , Zhang Ying , Huang Liuyan , Lu Wei 
Published: October 2024

Abstract
Background
Handgrip strength (HGS) is a simple and non-invasive measure of muscle strength, which has been proposed as a potential predictor of cardiovascular disease (CVD) risk. However, the association between HGS and CVD risk in the Chinese population remains underexplored. This study aims to investigate the relationship between handgrip strength and the risk of cardiovascular disease using data from the 2015–2018 China Health and Retirement Longitudinal Study (CHARLS).

Methods
We included 9369 participants aged 45 years and older from the CHARLS dataset. HGS was measured using a dynamometer, and the average of three measurements for each hand was recorded. Participants were categorized into quartile based on their HGS levels. The primary outcome was the incidence of CVD, including heart diseases, and stroke, obtained through self-reports and verified by medical records. Cox proportional hazards models were used to estimate hazard ratio (HR) and 95% confidence interval (95% CI) for the association between HGS and CVD risk, and using restricted cubic spline to construct a linear relationship, adjusting for potential covariates including demographic factors, lifestyle factors, body composition, and health status. The robustness of the results was determined by stratified analysis.

Results
During a mean follow-up of 3 years, 1198 CVD events were reported, including 851 heart diseases and 427 strokes. After multivariate adjustment, the HR and 95% CI corresponding to CVD risk for participants in the HGS 2nd, 3rd, and 4th quartiles compared with those in the lowest quartile were 0.824 (95% CI: 0.692–0.981), 0.756 (95% CI: 0.614–0.929), 0.625 (95% CI: 0.484–0.807) (Pfor trend: <0.001), respectively. All subgroups analyzed found similar results. For CVD components, HGS was similarly linearly associated with heart disease, and had an inverted U-shape relationship with the risk of stroke, with a potential threshold of 23.16 kg.

Conclusions
Higher HGS was significantly associated with decreased risk of CVD, including heart disease and stroke, in middle-aged and older adults, suggesting that HGS may be a promising measurable predictor of CVD in this population.
Climate Change, Racism, and Food Insecurity: Cyclical Impacts of Stressors Exacerbate Health Disparities
Authors: Ek Christina , Hébert James R. , Friedman Daniela B. , Porter Dwayne E. 
Published: October 2024

Abstract
Introduction
Disadvantaged populations have higher rates of chronic disease, including heart disease, cancer, and diabetes. Race, ethnicity, lower socioeconomic status, and poverty all contribute to these disproportionate rates. Other factors, including systemic racism, climate change, poor diet, lack of food access, and epigenetic influences, that are distributed and experienced differently across vulnerable populations also play a significant role in the development of chronic diseases. This comprehensive review of contributors to chronic diseases emphasizes a unique focus on these identified emerging factors.

Methods
An ad hoc literature review using OVID Medline and Web of Science was conducted.

Results
Findings from prior studies indicate that multiple stressors, both in isolation and in combination, and their negative impacts on both physical and mental health of minorities are exacerbated by climate change.

Discussion
Various stressors dramatically increase chronic disease risk in minority groups. Recommendations for future research to elucidate the impacts of climatic, racial, and dietary adversity with minority populations are presented. Further study in this area is critical for achieving the UN Sustainable Development Goals and improving public health outcomes.
Der Kompromiss in den Wirtschaftswissenschaften – ein Forschungsüberblick
Authors: Mause Karsten 
Published: October 2024

ZusammenfassungIn den vergangenen Jahren ist in den Sozialwissenschaften ein verstärktes Interesse am Kompromiss als Konfliktregelungstechnik zu beobachten. Dies manifestiert sich u. a. in neueren Büchern zum Thema und der Gründung von Forschungseinrichtungen, die sich mit Konflikten und Kompromissen beschäftigen. Vor diesem Hintergrund gibt der vorliegende Beitrag einen Überblick über den Stand der ökonomischen Forschung zum Kompromiss. Es zeigt sich, dass der Kompromiss in den Wirtschaftswissenschaften keine zentrale analytische Kategorie darstellt und es bislang keine ausgearbeitete ökonomische Theorie des Kompromisses gibt. Gleichwohl sind aber in der wirtschaftswissenschaftlichen Fachliteratur Studien zu finden, die sich mehr oder weniger ausführlich und tiefgehend mit dem Kompromiss als Technik zur Regulierung bzw. Befriedung von Konflikten zwischen Individuen, gesellschaftlichen Interessengruppen und Staaten auseinandersetzen. Neben einer Bestandsaufnahme macht der Beitrag zudem auf Desiderata für künftige Forschungen in Richtung Kompromissökonomik aufmerksam.
Music Evoked Nostalgia and Wellbeing in Autistic and Non-Autistic Young Adults
Authors: Bennett Julie , Wilmut Kate , Rathbone Clare J. 
Published: October 2024

AbstractNostalgia is known to boost state wellbeing and authenticity for people in the general population. However, little research has explored nostalgia’s benefits outside of the general population. This study had two: (1) to explore music evoked nostalgia and its effects on mood, state wellbeing and authenticity in autistic individuals, a group of people who tend to experience reduced wellbeing, compared to non-autistic individuals and (2) to examine the influence of dispositional rumination and reflection on any benefits gained from nostalgic recollection. 146 autistic (69 diagnosed and 77 who self-identified as autistic) and 174 non-autistic people aged 18–25 took part in an online survey. Participants completed scales measuring autistic traits, rumination and reflection. They also reported their mood before, and their mood, state wellbeing and authenticity after a nostalgia manipulation, in which they either listened to and reflected on a nostalgic or a non-nostalgic song. Music evoked nostalgia (versus control) boosted state wellbeing and authenticity in autistic as well as non-autistic individuals. Results also indicated that people who were prone to reflection versus rumination were more likely to reap wellbeing benefits of engaging in nostalgia. This study is the first to show that music evoked nostalgia boosts state wellbeing and authenticity in autistic as well as in non-autistic individuals. Findings suggest that, depending on individual tendencies towards rumination and/or reflection, nostalgia could be viewed as a positive activity that autistic people could use to support wellbeing, aiding their day to day living in the non-autistic social world.
Fabrication of Micro/Nanostructured Copper Fibers by Vibration Cutting for Felt-Based Freshwater Purification
Authors: Wu Kaiyue , Zhang Jianfu , Zheng Zhongpeng , Li Zhiwei , Ding Peiyuan , Liu Jiahui , Wang Jianjian 
Published: October 2024

AbstractFreshwater purification from wasted water and seawater is crucial in addressing the global problem of water scarcity. Porous fiber felt with a micro/nanostructure emerges as an efficient approach for water purification; however, its production usually relies on chemical postprocessing to create micro/nano structures on the fiber surface, which might pollute the environment. This study proposed an ecofriendly method to produce micro/nanostructured copper fiber felt without chemical treatment. First, a new transverse-feeding vibration cutting is proposed to fabricate micro/nanostructured fibers with controllable structure characteristics. Through the sintering of the structured fibers without postprocessing, the fiber felt can be produced in an ecofriendly way and exhibit special wettability and excellent photothermal properties. Felt-based freshwater purification, including oil–water separation and solar-driven seawater desalination, can be realized effectively. Results show an oil–water separation efficiency of > 90% and a high evaporation rate of water of > 1.08 kg m−2 h−1 at 73 mW cm−2 are achieved, demonstrating the application prospect of the produced fiber felt.
Hat Kants Universalismus ausgedient?
Authors: Mohr Georg 
Published: October 2024

ZusammenfassungMoralphilosophischer Universalismus gilt einigen als überholt, anderen als immer schon und grundsätzlich unhaltbar. Durch irritierende Textpassagen im Werk seines angesehensten Vertreters, Immanuel Kant, scheint er nachdrücklich in Misskredit zu geraten. Der Philosoph der Freiheit, der Autonomie, der Menschenwürde, der Rechtsstaatlichkeit, des Weltfriedens wird konfrontiert mit Vorwürfen des Rassismus, des Sexismus, der Homophobie, des Klassismus und des Antisemitismus in verschiedenen seiner Schriften. Ist Kants Universalismus letztlich nur eine Fassade, hinter der sich rassistisches und koloniales Denken verbirgt? Hat Kants Universalismus ausgedient? Und wäre das nicht auch ein Indiz dafür, dass der Universalismus als Theorietyp insgesamt ausgedient hat? Die hier vertretenen Thesen lauten: Wie auch immer man die anti-universalistischen Textstellen in Kants Werk deutet, (i) das systematische Zentrum von Kants Moralphilosophie ist der Universalismus, und (ii) dieser hat nicht nur nicht ausgedient, sondern formuliert die Präsuppositionen dessen, was einen moralischen Standpunkt überhaupt ausmacht.
Psilocybin and the glutamatergic pathway: implications for the treatment of neuropsychiatric diseases
Authors: Szpręgiel Izabela , Bysiek Agnieszka 
Published: October 2024

AbstractIn recent decades, psilocybin has gained attention as a potential drug for several mental disorders. Clinical and preclinical studies have provided evidence that psilocybin can be used as a fast-acting antidepressant. However, the exact mechanisms of action of psilocybin have not been clearly defined. Data show that psilocybin as an agonist of 5-HT2A receptors located in cortical pyramidal cells exerted a significant effect on glutamate (GLU) extracellular levels in both the frontal cortex and hippocampus. Increased GLU release from pyramidal cells in the prefrontal cortex results in increased activity of γ-aminobutyric acid (GABA)ergic interneurons and, consequently, increased release of the GABA neurotransmitter. It seems that this mechanism appears to promote the antidepressant effects of psilocybin. By interacting with the glutamatergic pathway, psilocybin seems to participate also in the process of neuroplasticity. Therefore, the aim of this mini-review is to discuss the available literature data indicating the impact of psilocybin on glutamatergic neurotransmission and its therapeutic effects in the treatment of depression and other diseases of the nervous system.
Enterprise digital management: research review, current status and prospects
Authors: Han Xiao , Hu Yixuan , Wang Li , Zhou Rui 
Published: October 2024

AbstractWith the advent of the digital economy era, digital management has become a hot topic of concern in both the industry and academia. Focusing on digital management in enterprises, this article consists of 750 CSSCI source journals indexed in the CNKI database from 2000 to 2022, 1303 articles in the literature and Web of Science core database were used as research objects, using CiteSpace and VOSviewer Perform bibliometric analysis using visual tools. Firstly, conduct data statistics on the overall collection and apply the author literature coupling method. Analyze representative literature. Secondly, by means of thematic temporal evolution and keyword emergence, we will sort out the development of domestic and foreign research. Expand the context. Next, we use keyword clustering method to explore recent hot topics in domestic and international research. Based on citation analysis and word cluster analysis, with the comprehensive results of "basic elements—management process—management effectiveness", a digital management theory for enterprises has been constructed on the IPO Panoramic Research Framework Model. Finally, future research directions are proposed. Firstly, the issue of digital technology abuse must be addressed through standardized management protocols. Secondly, the mechanisms by which digital technology impacts organizational performance warrant thorough investigation. Thirdly, the paradigm of collaboratively applying multiple digital technologies should be explored. Lastly, the design of an innovative digital ecosystem strategy based on a platform approach needs to be developed.
Digital twins for electric propulsion technologies
Authors: Reza Maryam , Faraji Farbod , Knoll Aaron 
Published: October 2024

AbstractAs the space industry is undergoing an evolution, the current approaches toward design, development, and qualification of Electric Propulsion (EP) systems largely based on empirical “trial-and-error” methodologies are falling short of addressing the emerging needs and keeping abreast of the rapid changes in market trends. Furthermore, with the proliferation of Artificial Intelligence (AI) within the space industry toward next-generation autonomous satellites and spacecrafts, the conventional EP monitoring and control strategies become inadequate and need to give way to approaches compatible with satellite-level autonomy requirements. A digital twin (DT) – a technology capable of providing an accurate dynamically adapting virtual representation of a physical asset – is a game-changing concept that catalyzes the transcendence of the EP industry past its pressing challenges today. In this paper, we aim to: (i) define the DT concept, highlighting how it surpasses traditional modelling, (ii) enumerate the DT’s breakthrough promises for the EP industry, and (iii) specify the challenges to realize practical and scalable EP DTs. Additionally, we report on the technical progress achieved and/or planned at Imperial Plasma Propulsion Laboratory to fill the foundational gaps in three building block elements of DTs, namely, (i) a cost-effective kinetic model to generate extensive high-fidelity databases for machine learning (ML), (ii) ML-enabled models for prediction and analysis of performance and operational behavior, and (iii) a DT architecture that integrates the numerical models in terms of a computing infrastructure and provides data pipelines and interfaces for the DT’s data exchanges with the real world, its dynamic updating, and uncertainty quantification.
Promoting coordinated spatial governance of mega-cities in China via spatial organization of metropolitan areas
Authors: Zhou Yajie , Xu Hui , Wang Ying , Li Changfeng , Luo Qianyi , Chen Sha 
Published: October 2024

AbstractSuper large-sized cities and very large-sized cities (“mega-cities” for short) have become the backbone of China's socio-economic development, but they also face outstanding challenges of "urban diseases" due to their high concentration. In comparison to their foreign counterparts, China's mega-cities possess unique characteristics such as rapid growth, high population density, and large numbers of residents. They naturally have the attributes of metropolitan areas due to an administrative management system of an urban system within city territory. Promoting coordinated spatial governance of mega-cities via spatial organization of metropolitan areas not only helps mega-cities better allocate resources at a larger scope and helps expedite the transformation of development patterns, but is also crucial for better implementing new-type urbanization strategies. In response to the issues in China’s previous research and practices related to mega-cities and metropolitan areas, leveraging the “Critical Technology for Spatial Optimization of Metropolitan Areas of City Clusters” of the national key R&D plan in the “14th Five-year Plan” period, we have employed a scientific approach that combines data and models to propose spatial governance strategies. These strategies encompass both the overall metropolitan area level and the cross-border regional level. Our primary focus lies in optimizing the spatial layout of the “three domains” – ecological space, production space, and living space, facilitating functional dispersal, enhancing spatial patterns, adjusting land use structures and spatial resource allocation, coordinating rail transit and the organization of functions along transit lines, and innovating service management for improvement of administrative efficiency. Through the implementation of these diverse measures, we aim to establish a comprehensive composite collaborative system.