bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing a Conceptual Framework: Women STEM Faculty's Participation in Entrepreneurship Education Programs
Authors: Menon Maya , Shekhar Prateek 
Published: August 2024

Abstract
Motivated by the high socio-economic impact of innovations in science and technology, entrepreneurship in STEM disciplines is gaining increasing attention. As a result, entrepreneurship education programs (EEPs) have been introduced and designed to train STEM faculty and expose them to entrepreneurial practice. This study examines factors influencing women STEM faculty's perspectives on their participation in EEPs within the broader socio-cultural context of academia. The study addresses the under-researched and undertheorized area of women academics in STEM entrepreneurship by drawing on adult participation literature and key theoretical works in entrepreneurship education to formulate the conceptual grounding. Using qualitative methods, including in-depth interviews with 32 women STEM faculty, the findings identify internal and external influences and unpacks their complex interactions across the programmatic and systemic dimensions. Internal factors include perceptions of entrepreneurship, STEM academic identity, entrepreneurial identity, and self-efficacy, while external factors included professional mentors, personal role models, socioemotional support, and financial resources. The study conceptually synthesizes these factors and elucidates a nuanced understanding of women STEM faculty’s perspectives on their participation in EEPs, offering insights for future research and program development to enhance diversity, equity, and inclusivity in STEM entrepreneurship education.
Protection motivation when using biocidal products – A survey study in Germany
Authors: Bearth Angela , Thoma Livia , Stark Christiane , Siegrist Michael 
Published: August 2024

AbstractDue to their inherent properties, biocidal products might pose a risk to human and animal health and the environment. In risk management, there exists uncertainty about private users' comprehension of and willingness-to-adhere to use instructions that mitigate these risks (e.g., limit frequency of use or application area). This study aimed at providing insights into the users' perspective by focusing on their attention, comprehension, and the attitudinal predictors of protection motivation. In the online study (N = 957 participants from Germany) were introduced to a hypothetical purchase scenario featuring an insect spray and a realistic set of use instructions. Next, the participants' attention for the use instruction was measured in self-report and by tracking the time spent on the page with the use instruction, while Likert scale-type questions measured the comprehensibility, protection motivation, and predictors. Participants reported higher protection motivation if they spent more time with the use instruction, perceived it as comprehensible, rated the threat to humans, animals, and the environment as more severe, perceived themselves as responsible (i.e., internal locus of control) and capable (i.e., self-efficacy) of adhering to the use instructions, perceived adherence to the use instructions as effective (i.e., response efficacy) and did not perceive biocidal products as inherently safe (i.e., neutral locus of control). These results offer valuable information for an improved regulation of biocidal products and better management of potential risks associated with their use. They also provide concepts for interventions to ensure users of biocidal products follow the instructions for a safe use and better protection of the environment.
Neue Normalitäten in Partnerschaft und Elternschaft in Österreich? Wandel von Verhalten, Einstellungen und rechtlichen Normen
Authors: Beham-Rabanser Martina , Berghammer Caroline , Zartler Ulrike 
Published: August 2024

ZusammenfassungIn den letzten Jahrzehnten veränderten sich Verhalten, Einstellungen und rechtliche Normen in Bezug auf Partnerschaft und Elternschaft. Der Beitrag geht der Frage nach, ob diese Veränderungen zeitlich parallel stattfanden und ob sich „neue Normalitäten“ etablierten. Dies wird in einem Zeitraum von mehr als drei Jahrzehnten untersucht für (a) nichteheliche Lebensgemeinschaften; (b) Scheidung, Ein-Eltern-Familien und Stieffamilien; (c) gleichgeschlechtliche Partner- und Familienbeziehungen sowie (d) medizinisch unterstützte Elternschaft. Als Datengrundlage dient vorwiegend das International Social Survey Programme 1988 bis 2023, zusätzlich werden die Europäische Wertestudie sowie der Generations and Gender Survey herangezogen. Zudem werden Daten der Statistik Austria zu Veränderungen in den Familienformen dargestellt.Die Ergebnisse zeigen das komplexe Zusammenspiel von Verhalten, Einstellungen und rechtlichen Normen: Entwicklungen fanden keineswegs immer zeitlich parallel statt. Beispielsweise waren positive Einstellungen zu nichtehelichen Lebensgemeinschaften bereits weit verbreitet, als diese Lebensform Mitte der 1990er an Bedeutung gewann. Auch traten Änderungen in den Rechtsnormen zum Teil zeitversetzt zu entsprechenden Veränderungen in den Einstellungen auf, z. B. sind gleichgeschlechtliche Ehen erst seit 2019 möglich, obwohl gleichgeschlechtliche Partnerschaften bereits seit dem Ende der 1990er-Jahre zunehmend befürwortet werden. Die Analysen weisen darauf hin, dass sich neue Normalitäten zu etablieren scheinen, während ältere Normen – insbesondere die Zwei-Eltern-Norm sowie die Heteronormativitätsnorm – weiterhin fortbestehen.
Characteristics of childhood cancer survivors attending a specialized survivorship clinic in the Deep South
Authors: Hoppmann Anna L. , Dai Chen , Hageman Lindsey , Francisco Liton , Knight Jada , Mast Angela , Whelan Kimberly , Bhatia Smita , Landier Wendy 
Published: August 2024

Abstract
Purpose
Childhood cancer survivors carry a high burden of late-occurring treatment-related morbidity. Long-term risk-based anticipatory surveillance allows for early detection and management of complications. We sought to examine demographic, clinical, and social characteristics associated with survivorship clinic attendance at the Taking on Life after Cancer (TLC) Clinic at the Children’s Hospital of Alabama.

Methods
The cohort included 1122 TLC-eligible patients diagnosed with cancer between 2000 and 2016. The outcome of interest was ≥1 TLC visit. Univariable logistic regression modeling assessed cancer type, treatment era, age, sex, race/ethnicity, payer type, rural/urban residency, and distance from clinic. Significant variables (P<0.1) were retained in multivariable modeling.

Results
The median age at diagnosis was 7 years old (0–19); 47% were female, 69% non-Hispanic White, 25% African American; 45% leukemia or lymphoma, 53% solid or CNS tumor, 3% other. We found that among 1122 survivors eligible to attend a survivorship clinic in the Deep South, only 52% attended. Odds of attendance were lower among survivors diagnosed at an older age, those with cancers other than leukemia/lymphoma, those lacking private insurance, and those living farther from the clinic. Race/ethnicity and rurality were not associated with clinic attendance.

Conclusion
Just over half of eligible survivors attended survivorship clinic. Factors associated with non-attendance can be used to guide development of intervention strategies to ensure that childhood cancer survivors receive optimal long-term follow-up care.

Implications for Cancer Survivors
Measures of healthcare access (insurance status and distance to care) were identified as potential intervention targets to improve uptake of survivorship care.
Precision Genetic Therapies: Balancing Risk and Benefit in Patients with Heart Failure
Authors: Johnston Jamie R. , Adler Eric D. 
Published: August 2024

Abstract
Purpose of Review
Precision genetic medicine is evolving at a rapid pace and bears significant implications for clinical cardiology. Herein, we discuss the latest advancements and emerging strategies in gene therapy for cardiomyopathy and heart failure.

Recent Findings
Elucidating the genetic architecture of heart failure has paved the way for precision therapies in cardiovascular medicine. Recent preclinical studies and early-phase clinical trials have demonstrated encouraging results that support the development of gene therapies for heart failure arising from a variety of etiologies. In addition to the discovery of new therapeutic targets, innovative delivery platforms are being leveraged to improve the safety and efficacy of cardiac gene therapies.

Summary
Precision genetic therapy represents a potentially safe and effective approach for improving outcomes in patients with heart failure. It holds promise for radically transforming the treatment paradigm for heart failure by directly targeting the underlying etiology. As this new generation of cardiovascular medicines progress to the clinic, it is especially important to carefully evaluate the benefits and risks for patients.
The Role of Cannabinoids in Advancing Cancer Treatment: Insights from Evidence-Based Medicine
Authors: Skórzewska Magdalena , Gęca Katarzyna 
Published: August 2024

Abstract
Purpose of Review
This document critically examines the role of cannabinoids in cancer care during an era marked by rapid advancements in oncology and changing perceptions on cannabis. It traces the historical context of cannabis in medicinal use, navigating its journey from widespread acceptance, subsequent criminalization, to its resurgence in modern therapeutic applications, particularly within the framework of Evidence-Based Medicine (EBM).

Recent Findings
Anchored in EBM principles, this study synthesizes current research from clinical trials, systematic reviews, and meta-analyses to evaluate the efficacy and safety of cannabinoids in oncology. The focus is on their palliative effects, considering the nuances of effectiveness, risk assessment, and challenges inherent in translating these findings into clinical guidelines.

Summary
The study seeks to bridge the gap between scientific research and clinical practice, offering insights to inform future oncological therapies and symptom management strategies involving cannabinoids. The potential benefits and risks of cannabinoid use in cancer treatment are assessed to guide clinicians and researchers in developing comprehensive, evidence-based approaches to patient care.
AnNoBrainer, An Automated Annotation of Mouse Brain Images using Deep Learning
Authors: Peter Roman , Hrobar Petr , Navratil Josef , Vagenknecht Martin , Soukup Jindrich , Tsuji Keiko , Barrezueta Nestor X. , Stoll Anna C. , Gentzel Renee C. , Sugam Jonathan A. , Marcus Jacob , Bitton Danny A. 
Published: August 2024

AbstractAnnotation of multiple regions of interest across the whole mouse brain is an indispensable process for quantitative evaluation of a multitude of study endpoints in neuroscience digital pathology. Prior experience and domain expert knowledge are the key aspects for image annotation quality and consistency. At present, image annotation is often achieved manually by certified pathologists or trained technicians, limiting the total throughput of studies performed at neuroscience digital pathology labs. It may also mean that simpler and quicker methods of examining tissue samples are used by non-pathologists, especially in the early stages of research and preclinical studies. To address these limitations and to meet the growing demand for image analysis in a pharmaceutical setting, we developed AnNoBrainer, an open-source software tool that leverages deep learning, image registration, and standard cortical brain templates to automatically annotate individual brain regions on 2D pathology slides. Application of AnNoBrainer to a published set of pathology slides from transgenic mice models of synucleinopathy revealed comparable accuracy, increased reproducibility, and a significant reduction (~ 50%) in time spent on brain annotation, quality control and labelling compared to trained scientists in pathology. Taken together, AnNoBrainer offers a rapid, accurate, and reproducible automated annotation of mouse brain images that largely meets the experts’ histopathological assessment standards (> 85% of cases) and enables high-throughput image analysis workflows in digital pathology labs.
Simultaneous p53 and p16 Immunostaining for Molecular Subclassification of Head and Neck Squamous Cell Carcinomas
Authors: Pakkanen Pihla , Silvoniemi Antti , Aro Katri , Bäck Leif , Irjala Heikki , Aaltonen Leena-Maija , Hagström Jaana , Haglund Caj , Laine Jukka , Minn Heikki , Huvila Jutta 
Published: August 2024

Abstract
Purpose
Our aim was to assess the ability of simultaneous immunohistochemical staining (IHC) for p16 and p53 to accurately subclassify head and neck squamous cell carcinomas (HNSCC) as HPV-associated (HPV-A) versus HPV-independent (HPV-I) and compare p53 IHC staining patterns to TP53 mutation status, p16 IHC positivity and HPV status.

Methods
We stained 31 HNSCCs for p53 and p16, and performed next-generation sequencing (FoundationOne©CDx) on all cases and HPV in-situ hybridization (ISH) when sufficient tissue was available (n = 23). p53 IHC staining patterns were assessed as wildtype (wt) or abnormal (abn) patterns i.e. overexpression, null or cytoplasmic staining.

Results
In a majority of cases (28/31) interpretation of p16 and p53 IHC was straightforward; 10 were considered HPV-A (p16+/p53wt) and 18 cases were HPV-I (p16-/p53abn). In the remaining three tumours the unusual immunophenotype was resolved by molecular testing, specifically (i) subclonal p16 staining and wild type p53 staining in a tumour positive for HPV and with no TP53 mutation (HPV-A), (ii) negative p16 and wild type p53 staining with a TP53 mutation and negative for HPV (HPV-I), and (iii) equivocally increased p16 staining with mutant pattern p53 expression, negative HPV ISH and with a TP53 mutation (HPV-I).

Conclusion
Performing p16 and p53 IHC staining simultaneously allows classification of most HNSCC as HPV-A (p16 +, p53 wild type (especially basal sparing or null-like HPV associated staining patterns, which were completely specific for HPV-A SCC) or HPV-I (p16 -, p53 mutant pattern expression), with the potential for limiting additional molecular HPV or mutational testing to selected cases only.
Accounting for friction in the mechanical testing of athletics tracks
Authors: Andena Luca , Gobbi Riccardo , Meda Paolo , Zalaffi Samuele , Marenghi Andrea 
Published: August 2024

AbstractThis investigation deals with the problem of identifying the mechanical behaviour of rubbers from compression tests, performed on specimens having unfavorable geometry. A typical situation is that of flat specimens obtained from high-friction sports surfaces. To this purpose, experimental tests were conducted, aimed at measuring friction under various conditions and evaluating its effect on the compressive behavior of different rubber samples. The experimental results have been interpreted in view of an existing analytical model proposed by Gent and coworkers. The method was shown to be valid within a relatively broad range of conditions (in terms of materials, lubrication and aspect ratio). Its application allowed the creation of virtual “frictionless” curves, by rescaling experimental data for the stiffening factor predicted by Gent model. These curves represent more closely the intrinsic material behaviour, removing the large frictional contribution present in the experimental tests, and can be used as a more reliable input for numerical simulations.
Combating climate change through sustainable cattle ranching in the global south: The role of societal corporatism
Authors: Rudel Thomas K. 
Published: August 2024

AbstractThe contours of the collective action necessary to limit climate change remain difficult to discern. In this context, societal corporatist political processes, fueled by crisis narratives, have shown some promise as political devices for mobilizing people. Corporatist processes have, historically, brought political competitors like employers and labor unions together to negotiate compacts that have advanced collective goods during times of crisis. In response to the climate crisis in the Global South, affluent donor groups, state officials, some farmers, and indigenous peoples have begun to assemble corporatist-like coalitions to pursue climate stabilization. A comparative case study of efforts to promote sustainable cattle ranching through the spread of silvopastoral landscapes in Colombia and Ecuador illustrates this political dynamic, its shortcomings, and its accomplishments.
Regularizers to the rescue: fighting overfitting in deep learning-based side-channel analysis
Authors: Rezaeezade Azade , Batina Lejla 
Published: August 2024

AbstractDespite considerable achievements of deep learning-based side-channel analysis, overfitting represents a significant obstacle in finding optimized neural network models. This issue is not unique to the side-channel domain. Regularization techniques are popular solutions to overfitting and have long been used in various domains. At the same time, the works in the side-channel domain show sporadic utilization of regularization techniques. What is more, no systematic study investigates these techniques’ effectiveness. In this paper, we aim to investigate the regularization effectiveness on a randomly selected model, by applying 4 powerful and easy-to-use regularization techniques to 8 combinations of datasets, leakage models, and deep learning topologies. The investigated techniques are $$L_1$$

L
1

, $$L_2$$

L
2

, dropout, and early stopping. Our results show that while all these techniques can improve performance in many cases, $$L_1$$

L
1

and $$L_2$$

L
2

are the most effective. Finally, if training time matters, early stopping is the best technique.
Place meanings of shore recreational fishers in the urban fringe
Authors: Brink Talya ten 
Published: August 2024

AbstractWhile recreational fishers recognize the many benefits of their practice, there is less recognition of these benefits by decision-makers in natural resource management. Fisheries motivations and benefits have not been sufficiently captured in urban and urban/suburban interface (urban fringe) areas. To help address this gap, this work captures fisheries motivations and benefits in the urban fringe of Rhode Island using a place meaning methodology. In-person interviews were conducted in Spanish and English with anglers who use public access sites in the urban fringe near Providence, Rhode Island. This area was found to support diverse users with needs for access, suitable water quality, and safety. Mental and physical health benefits were also found. The results inform fisheries management and landscape planning via a greater understanding of the conceptualization of coastal spaces and suggestions for future attributes of coastal spaces. Future directions to explore include the relationship between place meanings and well-being, the relationship between place meanings and fishing motivations, and gathering place meanings across diverse users and locations. Understanding recreational fishing motivations and benefits in the urban fringe informs fisheries and coastal management decision-making under potential landscape changes or fishery stock decline.
Development and Mechanical Characterization of a CoCr-Based Multiple-Principal-Element Alloy
Authors: Padilla-González A. , González G. , Alfonso I. , Vidilli A. L. , Otani L. B. , Figueroa I. A. 
Published: August 2024

AbstractThe development and mechanical characterization of a CoCr-based multiple-principal-element alloy are presented and discussed. In this work, ab initio synthesis and mechanical characterization of the (CoCr)100-x(TiNbZr)x (x = 0, 48 60, 78 and 100 % at) alloy family is reported; these include the calculation of thermodynamic parameters such as mixing entropy (ΔSmix), mixing enthalpy (ΔHmix), valence electron concentration (VEC), Ω and δ factors. The alloys were melted in a vacuum arc furnace; rod-shaped ingots were produced by suction casting. Phase characterization was carried out using optical microscopy, scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), and X-ray diffraction. Mechanical characterization was done via compressive and hardness tests. Calculation of phase diagrams was performed using Thermo-Calc © software. Yang’s model for phase prediction predicted a BCC solid solution. Multicomponent simulations predicted a more complex structure, with Laves (C14 and C15), Theta (C16), BCC 1, 2 and 3, Mu, CoTi2, CoZr3 and TiZr2. Contrary to Yang’s model for phase prediction, the experimentally obtained phases agreed reasonability well with those obtained by the Thermo-Calc simulation. The suction cast process cooling rate suppressed the nucleation and growth of some equilibrium phases, i.e., Laves (C14) or BCC 3 for the (CoCr)100-x(TiNbZr)x (x = 0, 48 60, 78 and 100 % at) alloys. The hardness test results were strongly related to the intermetallic phase formation, showing an increase of 331% with the x = 78 alloy. The BCC 1 phase played an important role in the yield strength behavior, as the (CoCr)22(TiNbZr)78 alloy, with a considerable amount of this phase, showed the highest yield strength value.
Artificial neural networks-based modelling of effects of cryogenic electrode treatment, nano-powder, and surfactant-mixed dielectrics on wear performance and dimensional errors on superalloy machining
Authors: Sana Muhammad , Khan Anamta , Farooq Muhammad Umar , Anwar Saqib 
Published: August 2024

AbstractIn the present era dominated by Industry 4.0, the digital transformation and intelligent management of industrial systems is significantly important to enhance efficiency, quality, and the effective use of resources. This underscores the need for a framework that goes beyond merely boosting productivity and work quality, aiming for a net-zero impact from industrial activities. This research introduces a comprehensive and adaptable analytical framework intended to bridge existing gaps in research and technology within the manufacturing sector. It encompasses the essential stages of using artificial intelligence (AI) for modelling and optimizing manufacturing systems. The effectiveness of the proposed AI framework is evaluated through a case study on electric discharge machining (EDM), concentrating on optimizing the electrode wear rate (EWR) and overcut (OC) for aerospace alloy Inconel 617. Utilizing a comprehensive design of experiments, the process modelling through an artificial neural network (ANN) is carried out, accompanied by careful fine-tuning of hyperparameters throughout the training process. The trained models are further assessed using an external validation (Valext) dataset. The results of the sensitivity analysis indicated that the surfactant concentration (Sc) has the highest level of influence, accounting for 52.41% of the observed influence on the EWR, followed by the powder concentration (Cp) with a contribution of 33.14%, and the treatment variable with a contribution of 14.43%. Regarding OC, Sc holds the highest percentage significance at 72.67%, followed by Cp at 21.25%, and treatment at 6.06%. Additionally, parametric optimization (PO) shows that EWR and OC overcome experimental data by 47.05% and 85.00%, respectively, showcasing successful performance optimization with potential applications across diverse manufacturing systems.