bluuebunny/crossref_metadata_2025_split huggingface dataset:
University innovation and start‐ups: Barriers and facilitators experienced by nursing faculties – A content analysis study
Authors: Jamshidi Zahra , Aieen Mojtaba , Jafari‐Oori Mehdi 
Published: May 2024

AbstractAimUniversity start‐ups have gained significant popularity as a means of translating knowledge and research into practical applications. However, there is a lack of understanding regarding the experiences and perspectives of nursing faculties engaged in start‐up ventures. The objective of this study was to explore valuable insights into the barriers and facilitators within this context for promoting success, generating entrepreneurial attitudes, as well as enhancing the sustainability of nursing faculty‐led start‐ups.DesignWe employed a content analysis methodology to capture the real‐life experiences of nursing faculties involved in university start‐ups. This approach is an effective way to gain a comprehensive understanding of the subject.MethodsData were collected using semi‐structured interviews. Graneheim and Lundman's step was used for analysis and to identify recurring patterns and themes within the collected data. Sampling was done purposefully, with convenience and snowball techniques until data saturation. The MAXQDA version 10 software was utilised to easily analyse, code and present data.ResultsThe analysis revealed four major themes encompassed: motivational factors, personal attributes, limited entry support and barriers to scaling. These themes shed light on factors, support systems, challenges faced during growth as well as personal characteristics highlighted by the participants. Our study highlighted the factors influencing entrepreneurship in nursing faculties. Addressing the challenges of this study requires enhancing support systems and fostering personal development for entrepreneurial success in healthcare innovation. Policymakers can promote university education to expand the entrepreneurship process using more facilities and make more services accessible.
Performance enhancement of phenolic resin by glycol‐modified lignin
Authors: Kimura Hajime , Yonekawa Morio , Shimokawaji Tomohiro , Ohashi Yasunori , Takata Eri , Yamada Tatsuhiko 
Published: May 2024

AbstractWithout using fossil resources such as petroleum and coal, which are likely to be depleted and have a large load on the environment, we studied the improvement of the performance of phenolic resin using lignin‐based natural material, which is a non‐fossil resource that is less likely to cause environmental problems. Using modified lignin with polyethylene glycol, the modified lignin phenolic novolac resin was synthesized, and the properties of the phenolic resin molding material and molded article containing the modified lignin were evaluated. As a result, it was found that the phenolic resin into which the modified lignin was introduced not only has excellent moldability, but also excellent heat resistance, mechanical strength, and electrical insulation, and can achieve both heat resistance and flexibility.
Influence of amine surface treatments of carbon nanotube and boron nitride hybrid fillers on the thermal and mechanical properties of flexible amine‐based acrylate composites via 3D vat photopolymerization
Authors: Cho Youngsung , Cho Jangwoo , Han Seungjae , Kim Hyunsung , Kim Jooheon 
Published: May 2024

AbstractOwing to the rapid advancement in electronic devices, thermal interface materials have been introduced to solve the thermal dissipation and electrical insulation problems in electronic parts and packaging materials. In this study, flexible thermally conductive acrylate‐based composites were fabricated via 3D vat photopolymerization. The effects of amine functional groups on the thermal and mechanical properties of acrylate polymers were explored. Surface‐treatment agents, namely, (3‐aminopropyl)triethoxysilane (APTES) and octadecylamine (ODA), were selected to enhance the poor dispersibility of fillers in the resin matrix caused by aggregation. The APTES‐treated carbon nanotube (CNT)–boron nitride (BN) hybrid composite exhibited the highest thermal conductivity of 0.990 W m−1 K−1, which was remarkably 482.35% higher than that of the matrix owing to the addition of 30 wt% BN, 0.5 wt% CNTs, and APTES treatment. The ODA‐treated CNT composite, which contained only 0.5 wt% CNTs, exhibited a thermal conductivity of 0.540 W m−1 K−1, which was 217.65% higher than that of the matrix. The electrical insulation properties of the composites were characterized, and the composites exhibited low electrical conductivity as electrical insulation materials. The advantages of the 3D‐printed flexible thermally conductive acrylate polymers usher in a new era of using polymer composites to address heat dissipation problems in complex structures.
Unlocking opportunities for the EV industry with beam shaping of high‐power lasers
Authors: Bocksrocker Oliver , Fiechtner Kai , Beranek Matthias , Speker Nicolai , Hesse Tim 
Published: May 2024

AbstractThe electric vehicle (EV) industry is witnessing unprecedented growth, driven by the global shift towards sustainable transportation. Laser welding has emerged as an important technology in this sector, offering a welcome way of reducing production costs and expanding the options in manufacturing new batteries and e‐drive technology. While laser sources have rapidly evolved, introducing power levels of 24 kW and beyond, the efficient application of such high laser power in welding processes remains a challenge.
Photonic technologies for implantable medical devices
Authors: Castelo‐Porta Antonio 
Published: May 2024

AbstractMedical implants have benefited in the last years from established photonics manufacturing processes such as laser cutting and marking, but also from emerging ones such as additive manufacturing and surface structuring. The orthopedic sector has been using them for many years to improve the efficiency of the manufacturing processes and as a way to provide traceability and quality control for each part. Their use has been extended to a large number of new implants. We will review in this article some novel photonics technologies applied to the manufacturing and post‐processing of medical implants.
Survey‐based investigation of sports and leisure horse owners’ approaches to, and expectations of, equine veterinary care
Authors: Elte Yteke , Wolframm Inga , van Grevenhof Ilse , Nielen Mirjam , van Weeren René 
Published: May 2024

AbstractBackgroundClient satisfaction depends on the balance between expectations and service experience. Previous research identified seven aspects of equine veterinary professional conduct that are important for client satisfaction: quality of care, quality of service, horsemanship, transfer of knowledge, financial aspects, interpersonal skills and professionalism.MethodsBy employing a cross‐sectional study design through a survey‐based investigation, horse owners' initial contact preferences and their perceptions of the importance of various aspects of veterinary care in different scenarios were explored. Categories included professional versus amateur and competitive versus non‐competitive horse owners. Quantitative data analysis was performed.ResultsData from 1153 participants revealed that horse owners promptly contacted veterinarians for colic (92.7%) but delayed for lameness (51.8%) and pre‐purchase examinations (63.0%). Overall, quality of care emerged as the most important aspect of veterinary care for horse owners, with financial aspects considered least important. Competitive and professional horse owners prioritised financial aspects and professionalism, whereas non‐professional and non‐competitive horse owners prioritised quality of care and interpersonal skills (p < 0.005).LimitationsSurvey distribution relied on a snowball effect, internet access was necessary and the study exclusively represents the Western equine community. Potential bias should be acknowledged.ConclusionThe perceived importance of various aspects of veterinary care varies depending on the nature of the consultation and the horse owner type. Tailoring veterinary services can improve client satisfaction by aligning with diverse expectations.
Calculating a minimum overlap period for successful intercalibration of soil moisture sensors
Authors: Walker Victoria A. , Cosh Michael H. , Ochsner Tyson E. 
Published: May 2024

AbstractLong‐term in situ soil moisture monitoring inevitably requires sensors to be replaced. Ensuing discontinuities in the data record can be mitigated by intercalibration, however it is unclear how long the existing sensor needs to remain alongside the newly installed before there is enough overlapping data to generate a robust intercalibration. We used 154 pairs of established and newly installed sensors within the Marena, Oklahoma, In Situ Sensor Testbed to determine if there is a minimum overlap time that should be considered when planning upcoming replacements. Hourly observations of the existing sensor were linearly calibrated to those of the newly installed sensor with coefficients determined from overlap periods incremented by 30 days until a reference period of 2 years was reached. The resulting bias, root‐mean‐square error, and correlation coefficient for sensor pairs indicate that a minimum of 6 to 9 months of overlapping data are required to generate a successful intercalibration. Extending that to a full year before decommissioning the old sensor results in a stable intercalibration with higher confidence.
A framework and process for community-engaged, mixed-methods cancer needs assessments
Authors: Burus Todd , Thompson Jessica R. , McAfee Caree R. , Williams Lovoria B. , Knight Jennifer Redmond , Huang Bin , Kanotra Sarojini , Wilhite Natalie P. , Russell Elaine , Rogers Melinda , Sorrell Connie L. , Stroebel Christine , King Rachael , Hull Pamela C. 
Published: May 2024

Abstract
Purpose
Community health needs assessments are required for most state and local public health agencies and non-profit hospitals. Typically based on community health improvement planning models, these assessments encompass overall community health and multiple diseases to inform program planning. National Cancer Institute (NCI)-designated Cancer Centers and community-based cancer-focused programs share the goal of reducing cancer burden in the catchment areas they serve. However, to date, no published models exist to guide cancer-specific needs assessments for a determined geographic area that can inform both public health and research initiatives. The purpose of this article is to outline a cancer needs assessment (CNA) framework and community-engaged, mixed-methods process, along with a case study of how we applied it in Kentucky.

Methods
We convened a steering committee of key organizational partners to provide input throughout the process. We developed a conceptual framework of multi-level determinants affecting cancer-related outcomes. We incorporated both quantitative and qualitative data gathered through a variety of means, including a novel application of group concept mapping to guide definition of priorities.

Results
The resulting CNA has helped guide strategic planning and priorities for Kentucky’s Cancer Action Plan, Markey Cancer Center, state agencies, and community-based organizations.

Conclusion
This framework and process can be used collaboratively by cancer center Community Outreach and Engagement offices, public health agencies, oncology programs, and community partners to plan impactful cancer control programs and research in their catchment areas. Universities can also use them to inform the planning of community engagement and health equity research efforts.
Spanish Students’ Categorical Perceptions of Feminist Movements
Authors: Ávila-Muñoz Antonio Manuel 
Published: May 2024

AbstractIdentifying a society’s perceptions and, by extension, opinions of a certain social movement can help to understand to what extent the movement has been successful in effecting change. When working to gain such an understanding, a focus on the student population is essential, as their opinions provide insight into the future conditions of society and, thus, into whether the movement has been successful in effecting lasting social change. The present work focusses on the feminist movements and, in line with the above, analyses the perceptions held by a sample of 600 Spanish students enrolled in compulsory secondary, pre-university, and university education. The method employed begins with the use of association tests to extract lexical networks. Then, following a theoretical transformation, the traditional lexical availability index is applied in combination with fuzzy set theory to the sample of lists obtained so as to map the structure of the collective network, a novel approach that results in different levels of compatibility. The highest levels of compatibility reveal the prototypical conceptualisation as well as the sample’s shared cognitive perception. The results suggest that although the population under study may have absorbed the feminist movements’ messages of equality and respect, distorted perceptions could still remain in certain groups analysed. This work therefore recommends that education centres may wish to consider communicating objective information on the feminist movements specifically to women, as this could ultimately lead to all students fully embracing a feminist awareness distanced from extreme ideologies.
Socio-Economic Status and Bullying Victimization in India: A Study About Social Misfit and Minority Perception
Authors: Thakkar Niharika , van Geel Mitch , Malda Maike , Rippe Ralph , Vedder Paul 
Published: May 2024

Abstract
The Social Misfit Theory, which states that some individuals deviate from what is normative in a community and may therefore be more likely to be victimized, has mostly been studied in Western countries. The current study addresses in a longitudinal sample whether socio-economic minorities (SES) in the classroom (a contextual SES minority) are more likely to become victims of bullying in India, and whether the relation between minority status and victimization is mediated by perception of oneself as a minority. The current study used three waves separated by three month intervals. A sample of youth from Indore India (grades 7 to 9; N = 1238; M-ageT1 = 13.15, SD = 1.16, 24 percent girls) was used. It was found that being a contextual SES minority was related to more victimization, but only when the contextual status was corroborated by the perceived minority status. However, over time, being part of a contextual minority predicted decreased victimization, possibly pointing to normative beliefs and values in the Indian context. The results of this study are in contrast to the Social Misfit Theory, but do support self-perception as a mediator.
From Effects of Governance to Causes of Epistemic Change
Authors: Gläser Jochen 
Published: May 2024

AbstractIn this paper I argue that the attempts by science studies to identify epistemic effects of new governance instruments have largely failed. I suggest two main reasons for this failure. The first reason is that neither quantitative nor qualitative studies of effects of governance instruments meet the respective methodological standards for establishing causality. While much of this could be repaired, the second reason is more severe: given the complex causal web between governance and knowledge production and the multi-level nature of causation, a strategy that starts from a particular governance instrument and tries to identify its effects cannot work. I propose to reverse this strategy by starting from the observation of epistemic change and applying a strategy of “causal reconstruction” (Mayntz), which identifies the causes of this epistemic change and among them the contribution by governance. This approach has the advantage of starting from well-identified change. Challenges posed by the new approach include the empirical identification of epistemic change and the need to integrate sociological methods in science policy studies.
Quantized Iterative Learning Bipartite Containment Tracking Control for Unknown Nonlinear Multi-agent Systems
Authors: Zhang Ruikun , Sang Shangyu , Zhang Jingyuan , Lin Xue 
Published: May 2024

AbstractThis paper proposes a quantized model-free adaptive iterative learning control (MFAILC) algorithm to solve the bipartite containment tracking problem of unknown nonlinear multi-agent systems, where the interactions between agents include cooperation and antagonistic interactions. To design the controller, the agent’s dynamics is transformed into the linear data model based on the dynamic linearization method, and then a quantized MFAILC algorithm is established based on the quantized values of the relative output measurements. The designed controller only depends on the input and output data of the agent. We prove that under the quantized MFAILC algorithm, the multi-agent systems can achieve the bipartite containment, that is, the output trajectories of followers converge to the convex hull formed by the leaders’ trajectories and the leaders’ symmetric trajectories. Finally, we provide simulations to illustrate the effectiveness of our theoretical results.
Operator-splitting finite element method for solving the radiative transfer equation
Authors: Ganesan Sashikumaar , Singh Maneesh Kumar 
Published: May 2024

AbstractAn operator-splitting finite element scheme for the time-dependent radiative transfer equation is presented in this paper. The streamline upwind Petrov-Galerkin finite element method and discontinuous Galerkin finite element method are used for the spatial-angular discretization of the radiative transfer equation, whereas the backward Euler scheme is used for temporal discretization. Error analysis of the proposed numerical scheme for the fully discrete radiative transfer equation is presented. The stability and convergence estimates for the fully discrete problem are derived. Moreover, an operator-splitting algorithm for the numerical simulation of high-dimensional equations is also presented. The validity of the derived estimates and implementation is illustrated with suitable numerical experiments.
Intersectionality as emergence
Authors: Jorba Marta , López de Sa Dan 
Published: May 2024

AbstractIntersectionality is the notion that concerns the complexity of the experiences of individuals in virtue of their belonging to multiple socially significant categories. One of its main insights is that the way society is structured around categories such as gender, race, sexuality, class, etc., produces distinctive and specific forms of discrimination and privilege for groups in the intersections. In this paper, we suggest conceiving intersectionality as a general metaphysical framework wherein specific claims to the effect that the experiences of discrimination of Black women, among others, can be fruitfully formulated and examined. The main claim is that intersectional experiences emerge from the conjunction of social categories when social structures make them relevant vis-à-vis discrimination and privilege. We then argue that our view has three main virtues: metaphysical neutrality, explanatory flexibility and methodological openness. Explaining these virtues will allow us to contrast our proposal with alternatives from the recent literature.
Ignorance, soundness, and norms of inquiry
Authors: Willard-Kyle Christopher 
Published: May 2024

AbstractThe current literature on norms of inquiry features two families of norms: norms that focus on an inquirer’s ignorance and norms that focus on the question’s soundness. I argue that, given a factive conception of ignorance, it’s possible to derive a soundness-style norm from a version of the ignorance norm. A crucial lemma in the argument is that just as one can only be ignorant of a proposition if the proposition is true, so one can only be ignorant with respect to a question if the question is sound.
Gender disparities in Behçet’s syndrome: identifying distinct phenotypes through cluster analysis
Authors: Kılıç Gamze , Körüklü Kemal Faruk , Kumcu Muhammed Galip , Çakır Elif , Karkucak Murat , Kılıç Erkan 
Published: May 2024

AbstractBehçet’s syndrome (BS) is a complex, multi-systemic disorder with a global occurrence, notably concentrated along the Silk Road. This study aimed to investigate gender-specific expressions and clinical phenotypes in BS patients within the Eastern Black Sea Region of Turkey. A total of 290 BS patients were retrospectively analyzed between January 2013 and December 2023. Demographic characteristics, clinical manifestations, medical treatment, and pathergy test results were obtained from a review of medical records. The mean age was 45.79 ± 13.05, with a male-to-female ratio of 48.6:51.4. Male patients had higher papulopustular lesions (p < 0.001) and ocular involvement (p = 0.036), while females showed more frequent genital ulcers (p = 0.032). Medication usage showed gender-based variations, notably higher corticosteroid, azathioprine, and tumor necrosis factor-alpha inhibitor (TNFi) use in males (p < 0.001). Cluster analysis revealed five distinct clusters, each with unique features and gender predominance. Cardiovascular type, ocular type, and skin type predominantly featured male patients, while joint involvement type and neurologic and mucosal involvement type were more prevalent among female patients with BS. This research contributes valuable insights into the gender-related clinical variations of BS within a specific geographic region, fostering a more comprehensive understanding of this challenging syndrome. The identification of distinct clinical phenotypes facilitates the development of tailored treatment strategies, potentially leading to improved outcomes for patients with BS.
Shenqi Fuzheng injection hinders non-small cell lung cancer cell growth by regulating the Bax/Bcl-2 signaling pathway
Authors: Li Siqi , Ma Tianyu , Li Gege , Cheng Xu , Wen Tao , Wang Yuxuan , Zhang Hongtao , Liu Zhidong 
Published: May 2024

Abstract
Introduction
Lung cancer (LC) is the most common solid tumor and is currently considered the primary cause of cancer-related deaths worldwide. In clinical efficacy studies, it was not difficult to find that the combination of SFI and chemotherapy could improve the general condition of patients, reduce the side effects of chemotherapy drugs, and have a cooperative antitumor effect in NSCLC patients. However, whether SFI can be used as a novel antitumor drug is still unknown.

Methods
First, meta-analysis aimed to explore the efficacy of SFI in NSCLC patients, and SFI was identified by ultra-performance liquid chromatography‒mass spectrometry (UPLC‒MS). Cell proliferation, migration, and invasion were explored by Cell Counting Kit-8 (CCK-8), scratch healing, and Transwell assays, respectively. Cell cycle and apoptosis assays were performed by flow cytometry. Transcriptome sequencing analysis was performed in four NSCLC cell lines. Differential expression analysis was used to identify potential targets. Apoptosis-related protein levels were detected by Western blotting assays. The effects of SFI in NSCLC were further investigated by mouse xenografts.

Results
SFI could markedly improve the chemotherapy efficacy of NSCLC patients. The main active ingredients include flavonoids and terpenoids, which can effectively exert antitumor effects. SFI could not only inhibit tumor cell proliferation and cell migration/invasion but also regulate the cell cycle and promote tumor cell apoptosis. In NSCLC, SFI could enhance the transcription level of the CHOP gene, thereby upregulating the expression of the proapoptotic proteins Bax and caspase 3, and inhibiting the expression of the antiapoptotic protein Bcl-2. SFI hindered the growth of mouse NSCLC xenografts in vivo.

Conclusions
SFI hindered tumor progression and might promote apoptosis by increasing the expression of Bax, caspase 3 and decreasing the level of Bcl-2 in NSCLC.