bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiple Classification of Brain MRI Autism Spectrum Disorder by Age and Gender Using Deep Learning
Authors: Nogay Hidir Selcuk , Adeli Hojjat 
Published: January 2024

Abstract
The fact that the rapid and definitive diagnosis of autism cannot be made today and that autism cannot be treated provides an impetus to look into novel technological solutions. To contribute to the resolution of this problem through multiple classifications by considering age and gender factors, in this study, two quadruple and one octal classifications were performed using a deep learning (DL) approach. Gender in one of the four classifications and age groups in the other were considered. In the octal classification, classes were created considering gender and age groups. In addition to the diagnosis of ASD (Autism Spectrum Disorders), another goal of this study is to find out the contribution of gender and age factors to the diagnosis of ASD by making multiple classifications based on age and gender for the first time. Brain structural MRI (sMRI) scans of participators with ASD and TD (Typical Development) were pre-processed in the system originally designed for this purpose. Using the Canny Edge Detection (CED) algorithm, the sMRI image data was cropped in the data pre-processing stage, and the data set was enlarged five times with the data augmentation (DA) techniques. The most optimal convolutional neural network (CNN) models were developed using the grid search optimization (GSO) algorism. The proposed DL prediction system was tested with the five-fold cross-validation technique. Three CNN models were designed to be used in the system. The first of these models is the quadruple classification model created by taking gender into account (model 1), the second is the quadruple classification model created by taking into account age (model 2), and the third is the eightfold classification model created by taking into account both gender and age (model 3). ). The accuracy rates obtained for all three designed models are 80.94, 85.42 and 67.94, respectively. These obtained accuracy rates were compared with pre-trained models by using the transfer learning approach. As a result, it was revealed that age and gender factors were effective in the diagnosis of ASD with the system developed for ASD multiple classifications, and higher accuracy rates were achieved compared to pre-trained models.
Adhesion, metastasis, and inhibition of cancer cells: a comprehensive review
Authors: Yayan Josef , Franke Karl-Josef , Berger Melanie , Windisch Wolfram , Rasche Kurt 
Published: January 2024

Abstract
This comprehensive review delves into cancer’s complexity, focusing on adhesion, metastasis, and inhibition. It explores the pivotal role of these factors in disease progression and therapeutic strategies. This review covers cancer cell migration, invasion, and colonization of distant organs, emphasizing the significance of cell adhesion and the intricate metastasis process. Inhibition approaches targeting adhesion molecules, such as integrins and cadherins, are discussed. Overall, this review contributes significantly to advancing cancer research and developing targeted therapies, holding promise for improving patient outcomes worldwide. Exploring different inhibition strategies revealed promising therapeutic targets to alleviate adhesion and metastasis of cancer cells. The effectiveness of integrin-blocking antibodies, small molecule inhibitors targeting Focal adhesion kinase (FAK) and the Transforming Growth Factor β (TGF-β) pathway, and combination therapies underscores their potential to disrupt focal adhesions and control epithelial-mesenchymal transition processes. The identification of as FAK, Src, β-catenin and SMAD4 offers valuable starting points for further research and the development of targeted therapies. The complex interrelationships between adhesion and metastatic signaling networks will be relevant to the development of new treatment approaches.
Pineal anlage tumor: clinical and diagnostic features, and rationales for treatment
Authors: Obrecht-Sturm Denise , Pfaff Elke , Mynarek Martin , Bison Brigitte , Rodehüser Martina , Becker Martina , Kietz Silke , Pfister Stefan M. , Jones David T. , Sturm Dominik , von Deimling Andreas , Sahm Felix , Kortmann Rolf-Dieter , Schwarz Rudolf , Pietsch Torsten , Fleischhack Gudrun , Rutkowski Stefan 
Published: January 2024

Abstract
Purpose
To provide a treatment-focused review and develop basic treatment guidelines for patients diagnosed with pineal anlage tumor (PAT).

Methods
Prospectively collected data of three patients with pineal anlage tumor from Germany was combined with clinical details and treatment information from 17 published cases.

Results
Overall, 20 cases of PAT were identified (3 not previously reported German cases, 17 cases from published reports). Age at diagnosis ranged from 0.3 to 35.0 (median: 3.2 ± 7.8) years. All but three cases were diagnosed before the age of three years. For three cases, metastatic disease at initial staging was described. All patients underwent tumor surgery (gross-total resection: 9, subtotal resection/biopsy: 9, extent of resection unknown: 2). 15/20 patients were alive at last follow-up. Median follow-up for 10/15 surviving patients with available follow-up and treatment data was 2.4 years (0.3–6.5). Relapse was reported for 3 patients within 0.8 years after diagnosis. Five patients died, 3 after relapse and 2 from early postoperative complications. Two-year-progression-free- and -overall survival were 65.2 ± 12.7% and 49.2 ± 18.2%, respectively. All 4 patients who received intensive chemotherapy including high-dose chemotherapy combined with radiotherapy (2 focal, 2 craniospinal [CSI]) had no recurrence. Focal radiotherapy- and CSI-free survival rates in 13 evaluable patients were 46.2% (6/13) and 61.5% (8/13), respectively.

Conclusion
PAT is an aggressive disease mostly affecting young children. Therefore, adjuvant therapy using intensive chemotherapy and considering radiotherapy appears to comprise an appropriate treatment strategy. Reporting further cases is crucial to evaluate distinct treatment strategies.
Collective procedural memory
Authors: Donahue Sean 
Published: January 2024

AbstractCollective procedural memory is a group’s memory of how to do things, as opposed to a group’s memory of facts. It enables groups to mount effective responses to periodic events (e.g., natural hazards) and to sustain collective projects (e.g., combatting climate change). This article presents an account of collective procedural memory called the Ability Conception. The Ability Conception has various advantages over other accounts of collective procedural memory, such as those appealing to collective know-how and collective identity. It also demonstrates new applications for collective procedural memory. I develop three in this article: to social epistemology, to the ethics of memorialization, and to a pattern of group vulnerability to recurring hazardous events that I call the saeculum effect.
Drawing a Portrayal of Science Teachers’ Epistemic Cognitions Around Different Concepts Characterizing Science Education
Authors: Soysal Yilmaz 
Published: January 2024

AbstractThe objective of this descriptive study is to provide a detailed examination of science teachers’ perspectives regarding scientific knowledge, science learning, science concepts, and science teaching. A total of 304 science teachers created metaphors to express their cognitions about the epistemological aspects of their work. A specifically designed metaphor construction task was used to capture the participants’ epistemic cognitions. The participants’ metaphorical reasoning was captured since the metaphors might deliver experience-based conceptions, perceptions, beliefs, or comprehensions about four concepts regarding epistemic cognition. In-depth, descriptive analysis was undertaken through open, axial, and selective coding procedures with higher validity and reliability. The participants’ epistemic cognitions were gathered around five-order themes: function (accepting science knowledge and science concepts and their teaching/learning as vital entities by adopting an instrumentalist or tool-based perspective), personal epistemological stance (seeing science knowledge and science learning as an endless and immortal accumulation of factual knowledge), motivational construct (scientific knowledge attaches importance so it should be taught in the school systems in the science lessons), sociological construct (science knowledge provides power), and pedagogical construct (not the science knowledge but the science concepts should be taught in the schools in the science lesson). This study concluded that the participant science teachers mostly held conventional orientations in externalizing their epistemic cognitions. Theory-based explanations are presented in terms of the participants’ traditional epistemic orientations in the sense of future directions of further research.
The non-epistemic dimension, at last a key component in mainstream theoretical approaches to teaching the nature of science
Authors: García-Carmona Antonio 
Published: January 2024

AbstractFor many years, hegemonic approaches to teaching the nature of science (NOS) have focused mainly on understanding some epistemic (i.e., rational, or cognitive) aspects involved in the construction of science. So, aspects of a non-epistemic (i.e., non-rational, contextual, or extra-scientific) nature have been practically neglected in these predominant proposals for teaching NOS. However, those of us who advocate a more holistic NOS teaching, with a balanced integration of both epistemic and non-epistemic aspects of NOS, have reason to celebrate. The development of the family resemblance approach (FRA) to NOS, initially proposed by Irzik and Nola (2011, 2014), and then suitably adapted by Erduran and Dagher (2014) for science education, has cemented such a purpose in the current literature on NOS teaching research. But, like all scientific milestones, there are antecedents that, in some way, have also contributed to building the path that has brought us to this point. Therefore, it is fair to acknowledge them. Thus, the aim of this article is to provide a critical discussion of all of this and to make an explicit acknowledgement of some of these antecedents, such as the framework of the science-technology-society (STS) tradition, among others, without undermining the important role of the FRA in achieving the current predominant vision of holistic NOS teaching.
Memory in two dimensions
Authors: Fernández Jordi 
Published: January 2024

AbstractMemories can be accurate or inaccurate. They have, then, accuracy conditions. A reasonable picture of the accuracy conditions of a memory is that a memory is accurate just in case the reference of a memory satisfies the information provided by the memory. But how are the references of our memories determined exactly? And what are the accuracy conditions of memories, given their references? In this paper, I argue that the notion of accuracy conditions for memories is ambiguous. There are two types of conditions which can be plausibly construed as accuracy conditions for memories. I motivate this idea by using some resources from two-dimensional semantics. The outcome of applying two-dimensionalism to memory is that memories have two kinds of accuracy conditions. In both cases, causal relations play an important role in the framing of those conditions. But the role is quite different in each case. For one type of accuracy conditions, the causal relations which produce a memory play the role of fixing the reference of that memory. For the other type of accuracy conditions, the causal relations which produce a memory become part of the information which needs to be satisfied by the reference of the memory for it to be accurate. However, in both cases, the picture according to which a memory is accurate just in case the reference of a memory satisfies the information provided by the memory reemerges as being correct, though for interestingly different reasons.
The role of physical activity in the association between disability and mortality among US older adults: a nationwide prospective cohort study
Authors: Izquierdo-Gomez Rocio , Martínez-Gómez David , Shields Nora , del Rosario Ortola-Vidal María , Rodríguez-Artalejo Fernando , Cabanas-Sánchez Verónica 
Published: January 2024

AbstractTo examine whether physical activity can mitigate the mortality risk associated with disability in activities of daily living and instrumental activities in daily living among older adults. This analysis comprised 177,360 US participants (104,556 women), aged ≥ 60 years, with valid data from the 1997 through 2018 waves of the US National Health Interview Survey. Participants reported the frequency and duration of leisure-time PA, and their disabilities in activities of daily living and instrumental activities in daily living. Mortality data were obtained from the National Death Index. Over a mean (SD) follow-up of 8.02 (5.43) years, 66,694 deaths occurred from all-cause, 22,673 from cardiovascular disease, and 13,845 from cancer. Among people with disability in activities in daily living, those reaching physical activity recommendations had 25%, 24% and 33% lower risk of all-cause mortality, cardiovascular diseases, and cancer death, respectively, compared with those who do not meet physical activity recommendations. Values were 23%, 22% and 24% for those with disability in instrumental activities in daily living. Risk reductions associated with reaching the recommended physical activity ranged 16% to 29% for people without disability. Combining disability type and compliance with physical activity, individuals with disability in activities of daily living or instrumental activities in daily living who meet the recommended physical activity had moderately higher mortality than those without disability who did not achieve the recommended physical activity. Compliance with physical activity recommendations can partially mitigate excess mortality resulting from disability in activities in daily living or instrumental activities in daily living in older adults.
Can LCA be FAIR? Assessing the status quo and opportunities for FAIR data sharing
Authors: Ghose Agneta 
Published: January 2024

Abstract
Aim
The purpose of this study is to assess the status quo of data sharing in LCA in relation to the FAIR (findability, accessibility, interoperability, and reuse) data principles.

Methods
This study investigates how is LCA data from publicly funded research currently shared. Firstly, the focus is on life cycle inventory data shared in journal articles. Given that FAIR data sharing is not only the responsibility of the LCA practitioner, this study further investigates guidelines (e.g., data sharing standards and data management plans) and infrastructure (repositories, data formats, and nomenclature) to identify the tools and services available to LCA community which are essential to enable FAIR data sharing.

Results
The study identifies that although there is growing awareness to improve data sharing practices, implementation of FAIR guidelines for data sharing is seldom seen in practice. LCA studies that adhere to FAIR principles are primarily due to use of generic data repositories which provide tools to support data sharing. However, there is no guidance on how LCA specific data should be shared to ensure its findability, accessibility, interoperability, and reusability. This study suggests a workflow to enable FAIRification of LCA data. In addition, the study recommends further efforts within the LCA community on skill and technology development, strategic funding, and recognition of the best practices in relation to data sharing.

Conclusion
In conclusion, this study highlights the necessity of data sharing incentives, guidelines, and platforms/repositories specific for the LCA community.
Defining and Improving Outcomes Measurement for Virtual Care: Report from the VHA State-of-the-Art Conference on Virtual Care
Authors: Connolly Samantha L. , Sherman Scott E. , Dardashti Navid , Duran Elizabeth , Bosworth Hayden B. , Charness Michael E. , Newton Terry J. , Reddy Ashok , Wong Edwin S. , Zullig Leah L. , Gutierrez Jeydith 
Published: January 2024

AbstractVirtual care, including synchronous and asynchronous telehealth, remote patient monitoring, and the collection and interpretation of patient-generated health data (PGHD), has the potential to transform healthcare delivery and increase access to care. The Veterans Health Administration (VHA) Office of Health Services Research and Development (HSR&D) convened a State-of-the-Art (SOTA) Conference on Virtual Care to identify future virtual care research priorities. Participants were divided into three workgroups focused on virtual care access, engagement, and outcomes. In this article, we report the findings of the Outcomes Workgroup. The group identified virtual care outcome areas with sufficient evidence, areas in need of additional research, and areas that are particularly well-suited to be studied within VHA. Following a rigorous process of literature review and consensus, the group focused on four questions: (1) What outcomes of virtual care should we be measuring and how should we measure them?; (2) how do we choose the “right” care modality for the “right” patient?; (3) what are potential consequences of virtual care on patient safety?; and (4) how can PGHD be used to benefit provider decision-making and patient self-management?. The current article outlines key conclusions that emerged following discussion of these questions, including recommendations for future research.
Factors Associated with Veteran Self-Reported Use of Digital Health Devices
Authors: Robinson Stephanie A. , Shimada Stephanie L. , Zocchi Mark S. , Etingen Bella , Smith Bridget , McMahon Nicholas , Cutrona Sarah L. , Harmon Julie S. , Wilck Nancy R. , Hogan Timothy P. 
Published: January 2024

Abstract
Background
Digital health devices (DHDs), technologies designed to gather, monitor, and sometimes share data about health-related behaviors or symptoms, can support the prevention or management of chronic conditions. DHDs range in complexity and utility, from tracking lifestyle behaviors (e.g., pedometer) to more sophisticated biometric data collection for disease self-management (e.g., glucometers). Despite these positive health benefits, supporting adoption and sustained use of DHDs remains a challenge.

Objective
This analysis examined the prevalence of, and factors associated with, DHD use within the Veterans Health Administration (VHA).

Design
National survey.

Participants
Veterans who receive VHA care and are active secure messaging users.

Main Measures
Demographics, access to technology, perceptions of using health technologies, and use of lifestyle monitoring and self-management DHDs.

Results
Among respondents, 87% were current or past users of at least one DHD, and 58% were provided a DHD by VHA. Respondents 65 + years were less likely to use a lifestyle monitoring device (AOR 0.57, 95% CI [0.39, 0.81], P = .002), but more likely to use a self-management device (AOR 1.69, 95% [1.10, 2.59], P = .016). Smartphone owners were more likely to use a lifestyle monitoring device (AOR 2.60, 95% CI [1.42, 4.75], P = .002) and a self-management device (AOR 1.83, 95% CI [1.04, 3.23], P = .037).

Conclusions
The current analysis describes the types of DHDs that are being adopted by Veterans and factors associated with their adoption. Results suggest that various factors influence adoption, including age, access to technology, and health status, and that these relationships may differ based on the functionalities of the device. VHA provision of devices was frequent among device users. Providing Veterans with DHDs and the training needed to use them may be important factors in facilitating device adoption. Taken together, this knowledge can inform future implementation efforts, and next steps to support patient-team decision making about DHD use.
Improving Veteran Engagement with Virtual Care Technologies: a Veterans Health Administration State of the Art Conference Research Agenda
Authors: Haderlein Taona P. , Guzman-Clark Jenice , Dardashti Navid S. , McMahon Nicholas , Duran Elizabeth L. , Haun Jolie N. , Robinson Stephanie A. , Blok Amanda C. , Cutrona Sarah L. , Lindsay Jan A. , Armstrong Christina M. , Nazi Kim M. , Shimada Stephanie L. , Wilck Nancy R. , Reilly Erin , Kuhn Eric , Hogan Timothy P. 
Published: January 2024

AbstractAlthough the availability of virtual care technologies in the Veterans Health Administration (VHA) continues to expand, ensuring engagement with these technologies among Veterans remains a challenge. VHA Health Services Research & Development convened a Virtual Care State of The Art (SOTA) conference in May 2022 to create a research agenda for improving virtual care access, engagement, and outcomes. This article reports findings from the Virtual Care SOTA engagement workgroup, which comprised fourteen VHA subject matter experts representing VHA clinical care, research, administration, and operations. Workgroup members reviewed current evidence on factors and strategies that may affect Veteran engagement with virtual care technologies and generated key questions to address evidence gaps. The workgroup agreed that although extensive literature exists on factors that affect Veteran engagement, more work is needed to identify effective strategies to increase and sustain engagement. Workgroup members identified key priorities for research on Veteran engagement with virtual care technologies through a series of breakout discussion groups and ranking exercises. The top three priorities were to (1) understand the Veteran journey from active service to VHA enrollment and beyond, and when and how virtual care technologies can best be introduced along that journey to maximize engagement and promote seamless care; (2) utilize the meaningful relationships in a Veteran’s life, including family, friends, peers, and other informal or formal caregivers, to support Veteran adoption and sustained use of virtual care technologies; and (3) test promising strategies in meaningful combinations to promote Veteran adoption and/or sustained use of virtual care technologies. Research in these priority areas has the potential to help VHA refine strategies to improve virtual care user engagement, and by extension, outcomes.
Spreadsheet quality assurance: a literature review
Authors: Poon Pak-Lok , Lau Man Fai , Yu Yuen Tak , Tang Sau-Fun 
Published: January 2024

AbstractSpreadsheets are very common for information processing to support decision making by both professional developers and non-technical end users. Moreover, business intelligence and artificial intelligence are increasingly popular in the industry nowadays, where spreadsheets have been used as, or integrated into, intelligent or expert systems in various application domains. However, it has been repeatedly reported that faults often exist in operational spreadsheets, which could severely compromise the quality of conclusions and decisions based on the spreadsheets. With a view to systematically examining this problem via survey of existing work, we have conducted a comprehensive literature review on the quality issues and related techniques of spreadsheets over a 35.5-year period (from January 1987 to June 2022) for target journals and a 10.5-year period (from January 2012 to June 2022) for target conferences. Among other findings, two major ones are: (a) Spreadsheet quality is best addressed throughout the whole spreadsheet life cycle, rather than just focusing on a few specific stages of the life cycle. (b) Relatively more studies focus on spreadsheet testing and debugging (related to fault detection and removal) when compared with spreadsheet specification, modeling, and design (related to development). As prevention is better than cure, more research should be performed on the early stages of the spreadsheet life cycle. Enlightened by our comprehensive review, we have identified the major research gaps as well as highlighted key research directions for future work in the area.