bluuebunny/crossref_metadata_2025_split huggingface dataset:
On the hydrodynamic derivatives with respect to heading angle for ship maneuvering in a canal
Authors: Yasukawa H. , Sano M. 
Published: May 2024

AbstractThis study focused on the equation of motion, hydrodynamic derivatives, and course stability with respect to ship maneuvering in a canal. Based on the potential theory, a consistent linearized equation of motion was derived when a ship maneuvers near the center line of a canal with a symmetrical cross-section and uniform length. In the new equation of motion, hydrodynamic derivatives for the lateral force and yaw moment with respect to ship heading angle $$\psi$$
ψ
($$Y_\psi$$

Y
ψ

, $$N_\psi$$

N
ψ

) appear, which have not been considered in existing studies. $$Y_\psi$$

Y
ψ

and $$N_\psi$$

N
ψ

are measured by captive tests using a container ship model in a canal model, and they are significant. Furthermore, the course stability criterion for ships in the canal was derived by considering the $$Y_\psi$$

Y
ψ

and $$N_\psi$$

N
ψ

, and the course stability was investigated. As a result, we found that the effect of $$Y_\psi$$

Y
ψ

and $$N_\psi$$

N
ψ

on course stability cannot be neglected when the water depth becomes shallower. In case of the studied container ship, the consideration of $$Y_\psi$$

Y
ψ

and $$N_\psi$$

N
ψ

causes the ship to shift to the course stable direction.
Unravelling the dynamics of technology integration in mathematics education: A structural equation modelling analysis of TPACK components
Authors: Li Mao , Li Bingqing 
Published: May 2024

AbstractThis quantitative study examined the dynamics of the Technological Pedagogical Content Knowledge (TPACK) framework within mathematics education, centring on the role of Contextual Knowledge (XK). The research, conducted with middle school mathematics teachers in Chongqing, China, employed structural equation modelling (SEM) to explore the relationships between various TPACK components. The study establishes discriminant validity and demonstrates an excellent fit for the SEM model. Notably, it uncovers significant correlations within the TPACK framework, with a special emphasis on the influence of XK. The findings indicate that XK, in conjunction with Pedagogical Knowledge (PK), Pedagogical Content Knowledge (PCK), and Technological Content Knowledge (TCK), considerably impacts the overall TPACK construct. The research highlights the critical influence of XK on key TPACK components, such as Technological Pedagogical Knowledge (TPK), PCK, and TPACK itself. These results underline the importance of integrating XK in professional development programs focused on TPACK, accentuating its vital role in effectively integrating technology in mathematics education. This study significantly contributes to the academic understanding of TPACK’s complex dynamics. It provides essential insights for enhancing technology integration in mathematics education, offering valuable guidance for educational practitioners and policymakers.
Family Life Courses, Uncertain Futures, and the Changing World of Work: State-of-the-Art and Prospects
Authors: Matysiak Anna , Vignoli Daniele 
Published: May 2024

Abstract
Labour markets in post-industrial countries have been undergoing tremendous transformations in the last two decades, substantially changing the conditions in which young adults take family decisions and raise children. Whilst these changes create new opportunities, they also generate risks which potentially foster uncertain futures and affect individuals’ opportunities to earn income, provide care for family members, and make long-term commitments. This Special Issue aims to stimulate the debate on the effects of rapid labour market transformations and growing uncertainty on families in contemporary wealthiest countries. Its articles suggest that economic uncertainty, the threat of unemployment or precarious employment, and financial difficulties lead to fertility postponement and increase the risk of union disruption. These effects intensify when labour market deregulation goes in tandem with labour market dualization and become more pronounced during periods of economic hardship, such as economic recessions or the COVID-19 pandemic. In addition, the effects of economic activity on family-related behaviours have become less gendered as women increasingly gain economic independence. Finally, it appears that highly educated workers and members of the upper social classes face increasingly better conditions for realising their fertility intentions than their lower-educated counterparts and those of the lower social classes. In this introductory article, we review the theoretical premises and the empirical evidence to provide a comprehensive background on what labour force participation and its conditions imply for family life courses. We then introduce the articles collected in this Special Issue and conclude with a discussion on prospects for future research.
Multi-resource allocation and care sequence assignment in patient management: a stochastic programming approach
Authors: Yao Xinyu , Shehadeh Karmel S. , Padman Rema 
Published: May 2024

AbstractTo mitigate outpatient care delivery inefficiencies induced by resource shortages and demand heterogeneity, this paper focuses on the problem of allocating and sequencing multiple medical resources so that patients scheduled for clinical care can experience efficient and coordinated care with minimum total waiting time. We leverage highly granular location data on people and medical resources collected via Real-Time Location System technologies to identify dominant patient care pathways. A novel two-stage Stochastic Mixed Integer Linear Programming model is proposed to determine the optimal patient sequence based on the available resources according to the care pathways that minimize patients’ expected total waiting time. The model incorporates the uncertainty in care activity duration via sample average approximation.We employ a Monte Carlo Optimization procedure to determine the appropriate sample size to obtain solutions that provide a good trade-off between approximation accuracy and computational time. Compared to the conventional deterministic model, our proposed model would significantly reduce waiting time for patients in the clinic by 60%, on average, with acceptable computational resource requirements and time complexity. In summary, this paper proposes a computationally efficient formulation for the multi-resource allocation and care sequence assignment optimization problem under uncertainty. It uses continuous assignment decision variables without timestamp and position indices, enabling the data-driven solution of problems with real-time allocation adjustment in a dynamic outpatient environment with complex clinical coordination constraints.
Discriminatory Types and Homogenising Relevances: A Schutzian Perspective on Oppression
Authors: Hedges Tris , De Biasio Sabrina 
Published: May 2024

AbstractIn this paper, we draw on Alfred Schutz’s theoretical framework to better understand how oppression is enacted through discriminatory acts. By closely examining the role of typifications and relevances in our experience of others, and by supplementing this analysis with contemporary social scientific resources, we argue that a Schutzian perspective on oppression yields important phenomenological insights. We do this in three key steps. Firstly, we contextualise Equality and the Meaning Structure of the Social World within Schutz’s broader body of work, elucidating his central conditions of discrimination. Secondly, we highlight the limitations of Schutz’s account, in how it fails to capture more peripheral, subtle, and implicit oppressive practices. Finally, we introduce two underexplored insights derived from Schutz’s framework: the role of relevances in understanding the motivational underpinnings of implicit biases, and the connection between self-typification and stereotype threat. With this multidimensional approach, we hope to enhance our understanding of oppression whilst bridging gaps in Schutz’s original conceptualization.
Exploring Students’ Generative AI-Assisted Writing Processes: Perceptions and Experiences from Native and Nonnative English Speakers
Authors: Wang Chaoran 
Published: May 2024

AbstractGenerative artificial intelligence (AI) can create sophisticated textual and multimodal content readily available to students. Writing intensive courses and disciplines that use writing as a major form of assessment are significantly impacted by advancements in generative AI, as the technology has the potential to revolutionize how students write and how they perceive writing as a fundamental literacy skill. However, educators are still at the beginning stage of understanding students’ integration of generative AI in their actual writing process. This study addresses the urgent need to uncover how students engage with ChatGPT throughout different components of their writing processes and their perceptions of the opportunities and challenges of generative AI. Adopting a phenomenological research design, the study explored the writing practices of six students, including both native and nonnative English speakers, in a first-year writing class at a higher education institution in the US. Thematic analysis of students’ written products, self-reflections, and interviews suggests that students utilized ChatGPT for brainstorming and organizing ideas as well as assisting with both global (e.g., argument, structure, coherence) and local issues of writing (e.g., syntax, diction, grammar), while they also had various ethical and practical concerns about the use of ChatGPT. The study brought to front two dilemmas encountered by students in their generative AI-assisted writing: (1) the challenging balance between incorporating AI to enhance writing and maintaining their authentic voice, and (2) the dilemma of weighing the potential loss of learning experiences against the emergence of new learning opportunities accompanying AI integration. These dilemmas highlight the need to rethink learning in an increasingly AI-mediated educational context, emphasizing the importance of fostering students’ critical AI literacy to promote their authorial voice and learning in AI-human collaboration.
Constrained Markov Decision Processes with Non-constant Discount Factor
Authors: Jasso-Fuentes Héctor , Prieto-Rumeau Tomás 
Published: May 2024

AbstractThis paper studies constrained Markov decision processes under the total expected discounted cost optimality criterion, with a state-action dependent discount factor that may take any value between zero and one. Both the state and the action space are assumed to be Borel spaces. By using the linear programming approach, consisting in stating the control problem as a linear problem on a set of occupation measures, we show the existence of an optimal stationary Markov policy. Our results are based on the study of both weak-strong topologies in the space of occupation measures and Young measures in the space of Markov policies.
A Final Value Problem with a Non-local and a Source Term: Regularization by Truncation
Authors: Mondal Subhankar 
Published: May 2024

AbstractThis paper is concerned with recovering the solution of a final value problem associated with a parabolic equation involving a non linear source and a non-local term, which to the best of our knowledge has not been studied earlier. It is shown that the considered problem is ill-posed, and thus, some regularization method has to be employed in order to obtain stable approximations. In this regard, we obtain regularized approximations by solving some non linear integral equations which is derived by considering a truncated version of the Fourier expansion of the sought solution. Under different Gevrey smoothness assumptions on the exact solution, we provide parameter choice strategies and obtain the error estimates. A key tool in deriving such estimates is a version of Grönwalls’ inequality for iterated integrals, which perhaps, is proposed and analysed for the first time.
TraumaFlow—development of a workflow-based clinical decision support system for the management of severe trauma cases
Authors: Neumann Juliane , Vogel Christoph , Kießling Lisa , Hempel Gunther , Kleber Christian , Osterhoff Georg , Neumuth Thomas 
Published: May 2024

Abstract
Purpose
The treatment of severely injured patients in the resuscitation room of an emergency department requires numerous critical decisions, often under immense time pressure, which places very high demands on the facility and the interdisciplinary team. Computer-based cognitive aids are a valuable tool, especially in education and training of medical professionals. For the management of polytrauma cases, TraumaFlow, a workflow management-based clinical decision support system, was developed. The system supports the registration and coordination of activities in the resuscitation room and actively recommends diagnosis and treatment actions.

Methods
Based on medical guidelines, a resuscitation room algorithm was developed according to the cABCDE scheme. The algorithm was then modeled using the process description language BPMN 2.0 and implemented in a workflow management system. In addition, a web-based user interface that provides assistance functions was developed. An evaluation study was conducted with 11 final-year medical students and three residents to assess the applicability of TraumaFlow in a case-based training scenario.

Results
TraumaFlow significantly improved guideline-based decision-making, provided more complete therapy, and reduced treatment errors. The system was shown to be beneficial not only for the education of low- and medium-experienced users but also for the training of highly experienced physicians. 92% of the participants felt more confident with computer-aided decision support and considered TraumaFlow useful for the training of polytrauma treatment. In addition, 62% acknowledged a higher training effect.

Conclusion
TraumaFlow enables real-time decision support for the treatment of polytrauma patients. It improves guideline-based decision-making in complex and critical situations and reduces treatment errors. Supporting functions, such as the automatic treatment documentation and the calculation of medical scores, enable the trauma team to focus on the primary task. TraumaFlow was developed to support the training of medical students and experienced professionals. Each training session is documented and can be objectively and qualitatively evaluated.
Less in the West: The tangibility of international organizations and their media visibility around the world
Authors: Parizek Michal 
Published: May 2024

AbstractThis paper presents the first theoretical and large-scale empirical account of the visibility of major global international organizations (IOs) in news media around the world. It focuses on the everyday, continuous coverage of IOs, through which knowledge and support of IOs can be built over time. Synthesizing insights from Media Studies and International Relations (IR), I develop a theoretical framework centered on the tangibility of IOs’ work—its concreteness and proximity to audiences—as the key driver of variation in IOs’ media visibility across states. Empirically, I study the media visibility of the 40 IOs and IO bodies that form the UN System broadly defined, including virtually all the major formal global IOs. I find that the IOs are systematically more visible in states where they conduct tangible development-focused operational activity. The differences are sizeable: IO media visibility in states with the lowest levels of human development is approximately 75% higher than in highest-development level states, typically Western. The empirical analysis is based on a novel dataset of more than 3.4 million news articles in 63 languages and 135 states, accounting for 96% of the world population, spanning 2018–2021. Natural language processing-based analysis is complemented with human coding of the content of a sample of articles, further highlighting the importance of the development-focused operational activity of IOs for their media visibility. The findings have important implications for our understanding of the public image of IOs in Western states and beyond.
MNCs’ Corporate Social Innovation in Emerging Markets: Antecedents, Outcomes, and Boundary Conditions
Authors: Nwoba Arinze Christian , Kusi Samuel , Adebajo Adedapo , Prempeh Mark Kofi 
Published: May 2024

AbstractThis study examines (i) the relationship between first social mover multinational corporations (MNCs) and corporate social innovation (CSI); (ii) the impact of MNCs’ CSI on social value creation; and (iii) the moderating role of local embeddedness on the relationship between the first social mover MNCs, CSI, and social value creation. The study builds from the behavioral theory of social entrepreneurship. Primary data was collected from 150 MNCs operating in Nigeria—a social and resource-constrained emerging market in sub-Saharan Africa. Findings show that there is a positive relationship between first social mover MNCs and CSI. The findings also show that CSI has a positive relationship with social value creation. Furthermore, the findings reveal that local embeddedness strengthens the path between first social mover MNCs, CSI, and social value creation path. These findings have important implications for CSI and international management research as well as the growth and management of MNCs operating in emerging markets in sub-Saharan Africa.
Identification of the biological functions and chemo-therapeutic responses of ITGB superfamily in ovarian cancer
Authors: Han Jiawen , Lyu Lin 
Published: May 2024

Abstract
Background
Patients with ovarian cancer (OC) tend to face a poor prognosis due to a lack of typical symptoms and a high rate of recurrence and chemo-resistance. Therefore, identifying representative and reliable biomarkers for early diagnosis and prediction of chemo-therapeutic responses is vital for improving the prognosis of OC.

Methods
Expression levels, IHC staining, and subcellular distribution of eight ITGBs were analyzed using The Cancer Genome Atlas (TCGA)-Ovarian Serous Cystadenocarcinoma (OV) database, GEO DataSets, and the HPA website. PrognoScan and Univariate Cox were used for prognostic analysis. TIDE database, TIMER database, and GSCA database were used to analyze the correlation between immune functions and ITGBs. Consensus clustering analysis was performed to subtype OC patients in the TCGA database. LASSO regression was used to construct the predictive model. The Cytoscape software was used for identifying hub genes. The ‘pRRophetic’ R package was applied to predict chemo-therapeutic responses of ITGBs.

Results
ITGBs were upregulated in OC tissues except ITGB1 and ITGB3. High expression of ITGBs correlated with an unfavorable prognosis of OC except ITGB2. In OC, there was a strong correlation between immune responses and ITGB2, 6, and 7. In addition, the expression matrix of eight ITGBs divided the TCGA-OV database into two subgroups. Subgroup A showed upregulation of eight ITGBs. The predictive model distinguishes OC patients from favorable prognosis to poor prognosis. Chemo-therapeutic responses showed that ITGBs were able to predict responses of common chemo-therapeutic drugs for patients with OC.

Conclusions
This article provides evidence for predicting prognosis, immuno-, and chemo-therapeutic responses of ITGBs in OC and reveals related biological functions of ITGBs in OC.
Nutritional Considerations During Major Weight Loss Therapy: Focus on Optimal Protein and a Low-Carbohydrate Dietary Pattern
Authors: Volek Jeff S. , Kackley Madison L. , Buga Alex 
Published: May 2024

Abstract
Purpose of Review
Considering the high prevalence of obesity and related metabolic impairments in the population, the unique role nutrition has in weight loss, reversing metabolic disorders, and maintaining health cannot be overstated. Normal weight and well-being are compatible with varying dietary patterns, but for the last half century there has been a strong emphasis on low-fat, low-saturated fat, high-carbohydrate based approaches. Whereas low-fat dietary patterns can be effective for a subset of individuals, we now have a population where the vast majority of adults have excess adiposity and some degree of metabolic impairment. We are also entering a new era with greater access to bariatric surgery and approval of anti-obesity medications (glucagon-like peptide-1 analogues) that produce substantial weight loss for many people, but there are concerns about disproportionate loss of lean mass and nutritional deficiencies.

Recent Findings
No matter the approach used to achieve major weight loss, careful attention to nutritional considerations is necessary. Here, we examine the recent findings regarding the importance of adequate protein to maintain lean mass, the rationale and evidence supporting low-carbohydrate and ketogenic dietary patterns, and the potential benefits of including exercise training in the context of major weight loss.

Summary
While losing and sustaining weight loss has proven challenging, we are optimistic that application of emerging nutrition science, particularly personalized well-formulated low-carbohydrate dietary patterns that contain adequate protein (1.2 to 2.0 g per kilogram reference weight) and achieve the beneficial metabolic state of euketonemia (circulating ketones 0.5 to 5 mM), is a promising path for many individuals with excess adiposity.

Graphical Abstract
Created with Biorender.com.
The current status of health care indices and functional independence among older adults: data from HelpAge international-jordan study
Authors: Abufaraj Mohammad , Alhalaseh Lana , Al-sabbagh Mohammed Q. , Eyadat Zaid , Khatib Walid Al , Samara Osama A , Moonesar Immanuel Azaad , Smith Lee , Al qutob Raeda 
Published: May 2024

Abstract
Background
Health services should anticipate the changing pattern of illnesses associated with population aging to promote healthy aging.

Aim
We aimed to evaluate health indices and chronic illnesses and their relationship with functional independence in community Syrian refugees & Jordanian elderly.

Methods
A stratified sample of 1,718 community older adults aged ≥ 60-year-old from four major Jordanian governorates was interviewed in this cross-sectional study. Katz Index of Independence in Activities of Daily Living was utilized to assess functional status. Data were analyzed using STATA 15.

Results
Despite the similarities in baseline function, Syrian refugees had more multimorbidities but less active health insurance, accessibility to healthcare services and availability of medications and medical devices than Jordanians. Two-thirds had multimorbidities; with heart diseases, musculoskeletal conditions, hypertension, and diabetes being the most commonly reported chronic illnesses. Females had significantly more multimorbidities, and functional dependence, yet less education, income and accessibility to healthcare services. The mean Katz Index score was 4.99 ± 1.61. Significant predictors of functional dependence included increasing age, lower level of education, and some chronic illnesses.

Conclusion
National inclusive plans to support vulnerable older adults especially refugees and older women, provide health insurance, enhance access to health care facilities, and manage chronic medical illnesses comprehensively are urgently needed to improve independence of community-living older adults and to promote healthy aging.