bluuebunny/crossref_metadata_2025_split huggingface dataset:
A classification tool to foster self-regulated learning with generative artificial intelligence by applying self-determination theory: a case of ChatGPT
Authors: Chiu Thomas K. F. 
Published: April 2024

AbstractGenerative AI such as ChatGPT provides an instant and individualized learning environment, and may have the potential to motivate student self-regulated learning (SRL), more effectively than other non-AI technologies. However, the impact of ChatGPT on student motivation, SRL, and needs satisfaction is unclear. Motivation and the SRL process can be explained using self-determination theory (SDT) and the three phases of forethought, performance, and self-reflection, respectively. Accordingly, a Delphi design was employed in this study to determine how ChatGPT-based learning activities satisfy students’ each SDT need, and foster each SRL phase from a teacher perspective. We involved 36 SDT school teachers with extensive expertise in technology enhanced learning to develop a classification tool for learning activities that affect student needs satisfaction and SRL phases using ChatGPT. We collaborated with the teachers in three rounds to investigate and identify the activities, and we revised labels, descriptions, and explanations. The major finding is that a classification tool for 20 learning activities using ChatGPT was developed. The tool suggests how ChatGPT better satisfy SDT-based needs, and fosters the three SRL phrases. This classification tool can assist researchers in replicating, implementing, and integrating successful ChatGPT in education research and development projects. The tool can inspire teachers to modify the activities using generative AI for their own teaching, and inform policymakers on how to develop guidelines for AI in education.
Development and Validation of a Simple Risk Calculator for Alcohol-Related Adverse Outcomes: Results from a Composite Scale Approach in a Nationally Representative Sample
Authors: Hoertel Nicolas , Dosquet Marie , Sánchez-Rico Marina , Godino-Cruz Jesús , Blanco Carlos , Aubin Henri-Jean , Ducoutumany Géraldine , Gorwood Philip , Leleu Henri , Airagnes Guillaume , Lemogne Cédric , Rezaei Katayoun , Peyre Hugo , Limosin Frédéric 
Published: April 2024

AbstractWe tested how 5 simple variables, routinely collected in primary care (i.e., the 3 AUDIT-C items, age, and sex), could constitute a clinician-friendly risk calculator tool of the 3-year risk of several alcohol-related adverse outcomes (i.e., alcohol use disorder, withdrawal symptoms, occurrence of tremors or seizures, and alcohol related interpersonal relationship problems, legal problems, and psychological problems) among non-alcohol-dependent individuals consuming alcohol. Data were drawn from a nationally representative sample of US adults, the National Epidemiologic Survey on Alcohol and Related Conditions (wave 1, 2001–2002; wave 2, 2004–2005). We used scaled and rounded composite scoring systems to combine information derived from these predictors and quantify the risks for each subject. Analyses were limited to 16,710 respondents without a lifetime history of alcohol use disorder who completed both interviews and had consumed alcohol during the year prior to wave 1 (development sample N = 8355, validation sample N = 8355). The risk equations calibrated well (Hosmer and Lemeshow test p values ≥ 0.072) and showed good predictive values (C indices ranging from 0.727 to 0.872) in the validation sample. This risk calculator can be clinically useful in primary care for identification of at-risk individuals, encourage respondents to reduce their drinking, and improve prevention.
Multimodal semi-supervised learning for online recognition of multi-granularity surgical workflows
Authors: Yamada Yutaro , Colan Jacinto , Davila Ana , Hasegawa Yasuhisa 
Published: April 2024

AbstractPurpose Surgical workflow recognition is a challenging task that requires understanding multiple aspects of surgery, such as gestures, phases, and steps. However, most existing methods focus on single-task or single-modal models and rely on costly annotations for training. To address these limitations, we propose a novel semi-supervised learning approach that leverages multimodal data and self-supervision to create meaningful representations for various surgical tasks. Methods Our representation learning approach conducts two processes. In the first stage, time contrastive learning is used to learn spatiotemporal visual features from video data, without any labels. In the second stage, multimodal VAE fuses the visual features with kinematic data to obtain a shared representation, which is fed into recurrent neural networks for online recognition. Results Our method is evaluated on two datasets: JIGSAWS and MISAW. We confirmed that it achieved comparable or better performance in multi-granularity workflow recognition compared to fully supervised models specialized for each task. On the JIGSAWS Suturing dataset, we achieve a gesture recognition accuracy of 83.3%. In addition, our model is more efficient in annotation usage, as it can maintain high performance with only half of the labels. On the MISAW dataset, we achieve 84.0% AD-Accuracy in phase recognition and 56.8% AD-Accuracy in step recognition. Conclusion Our multimodal representation exhibits versatility across various surgical tasks and enhances annotation efficiency. This work has significant implications for real-time decision-making systems within the operating room.
Criminalisation as a Speech-Act: Saying Through Criminalising
Authors: Fassnidge J. P. 
Published: April 2024

AbstractThe act of criminalising conduct has been understood by many theorists as a form of communication. This paper proposes a model, based on speech-act theory, for understanding how that act of communication works. In particular, it focuses on analysing how and where wrongfulness can appear in this speech-act, if one were to argue, as many theorists do, that part of what is being communicated through criminalisation is the wrongfulness of the target conduct. I argue that the act of criminalisation is best understood as an indirect speech-act, which both asserts and declares normative facts, the utterance of which makes it the case that a conduct is now criminalised. Within this speech-act, wrongfulness can appear as an implicit assertion of the wrongness of the conduct, which has to be inferred by hearers from the context of utterance. The paper then briefly discusses the upshots of this model, mainly that it allows a clearer picture of how criminalisation conveys meanings, as well as leaving open the question as to whether it makes sense to think that the wrongfulness being conveyed is specifically of a moral kind.
Crime, Character, and the Evolution of the Penal Message
Authors: Zimran Adiel , Dagan Netanel 
Published: April 2024

AbstractScholars depict punishment as a moral dialogue between the community and the offender, which addresses both the offender’s crime and character. However, how the penal message evolves vis a vis that crime and character as it passes through the different stages of the criminal process has remained under-theorized. This article, building on communicative theory, explores the interrelation between crime and character along the penal process, from sentencing, through prison, to parole release. We argue that in the penal dialogue the relationship between crime and character evolves in a dynamic way through three phases: separateness (sentencing), fusion (prison), and re-distinction (parole) of crime and character. The proposed analysis develops the communicative meaning of the penal process, provides a normative account of the work of punishment administration authorities, and explores applications of our proposed normative analysis for the administration of the punishment.
Public management of digitalization into the Spanish tourism services: a heterodox analysis
Authors: Sánchez-Bayón Antonio , Sastre F. Javier , Sánchez Luis Isasi 
Published: April 2024

AbstractThis study is a critical review of public intervention and its management of change with digitalization, applied to Spanish tourism services, as ones of the largest case and most required of attention into the European Union. In comparison with other mainstream papers, this heterodox review is based on the combination of Austrian Economics and Neo-Institutional approaches (Cornucopists), with their common theoretical and methodological frameworks. Thus, it is possible to analyze failures and paradoxes in the public intervention, especially with post-COVID recovery policies. The case of the Spanish tourism sector highlights the effect of double bureaucracy, from European institutions and the Spanish Government, affecting its competitiveness and revealing the confirmation of heterodox theorems. Faced with mainstream public intervention guidelines, which usually involve expansive spending and more debt (and New-Malthusian measures), a heterodox mainline solution is offered here, based on the revival of the original sustainability principle, the readjustment effect and the promotion of geek'n'talent education, to facilitate the transition to the Knowledge Economy, where the tourism sector is capable of offering personalized travel experiences due to digitalization.
Quetiapine Versus Haloperidol in the Management of Hyperactive Delirium: Randomized Controlled Trial
Authors: Zakhary Tamer , Ahmed Islam , Luttfi Ibrahim , Montasser Mina 
Published: April 2024

Abstract
Background
In the population of patients in the intensive care unit (ICU), most studies compared the use of atypical antipsychotics, such as quetiapine, with the use of traditional haloperidol in patients with delirium of various forms and etiologies. The role of such agents in patients with hyperactive delirium is not fully understood. This study compares the effectiveness of quetiapine with haloperidol in treating the hyperactive form of delirium in terms of their effects on the Delirium Rating Scale-Revised-98 (DRS-R-98), length of stay in the ICU, and mortality in critically ill patients.

Methods
One hundred adult patients diagnosed with hyperactive delirium were randomly assigned to receive either oral quetiapine (25–50 mg/day) or haloperidol (1–2 mg/day). The response, defined as “a DRS-R-98 severity score reduction from baseline of 50% or more” and a DRS-R-98 severity score of 12 or less without relapse, was the primary outcome.

Results
The mean age of all patients was 68 ± 6 years. The study population’s overall response rate was 92%. Response rates for the two groups were remarkably equal (p = 0.609). Secondary outcomes were comparable in both groups, such as ICU mortality (p = 0.496), in-hospital mortality (p = 0.321), in-hospital stay (p = 0.310), and the need for mechanical ventilation (p > 0.99). But the quetiapine group showed a statistically reduced mean ICU stay (10.1 ± 2.0 vs. 11.7 ± 2.6 days, p = 0.018) and increased sleeping hours per night (p = 0.001).

Conclusions
Quetiapine may be equally as effective as haloperidol in treating the symptoms of hyperactive delirium in critically ill patients, with no mortality benefit.
Receptor-Assisted Nanotherapeutics for Overcoming the Blood–Brain Barrier
Authors: Mhaske Akshada , Shukla Shalini , Ahirwar Kailash , Singh Kamalinder K. , Shukla Rahul 
Published: April 2024

AbstractBlood–brain barrier (BBB) is a distinguishing checkpoint that segregates peripheral organs from neural compartment. It protects the central nervous system from harmful ambush of antigens and pathogens. Owing to such explicit selectivity, the BBB hinders passage of various neuroprotective drug molecules that escalates into poor attainability of neuroprotective agents towards the brain. However, few molecules can surpass the BBB and gain access in the brain parenchyma by exploiting surface transporters and receptors. For successful development of brain-targeted therapy, understanding of BBB transporters and receptors is crucial. This review focuses on the transporter and receptor–based mechanistic pathway that can be manoeuvred for better comprehension of reciprocity of receptors and nanotechnological vehicle delivery. Nanotechnology has emerged as one of the expedient noninvasive approaches for brain targeting via manipulating the hurdle of the BBB. Various nanovehicles are being reported for brain-targeted delivery such as nanoparticles, nanocrystals, nanoemulsion, nanolipid carriers, liposomes and other nanovesicles. Nanotechnology-aided brain targeting can be a strategic approach to circumvent the BBB without altering the inherent nature of the BBB.
Effects of Confinement on Opposed-Flow Flame Spread over Cellulose and Polymeric Solids in Microgravity
Authors: Sharma Ankit , Li Yanjun , Liao Ya-Ting T. , Ferkul Paul V. , Johnston Michael C. , Bunnell Charles 
Published: April 2024

AbstractOpposed-flow flame spread over solid materials has been investigated in the past few decades owing to its importance in fundamental understanding of fires. These studies provided insights on the behavior of opposed-flow flames in different environmental conditions (e.g., flow speed, oxygen concentration). However, the effect of confinement on opposed-flow flames remains under-explored. It is known that confinement plays a critical role in concurrent-flow flame spread in normal and microgravity conditions. Hence, for a complete understanding it becomes important to understand the effects of confinement for opposed-flow flames. In this study, microgravity experiments are conducted aboard the International Space Station (ISS) to investigate opposed-flow flame spread in different confined conditions. Two materials, cotton-fiberglass blended textile fabric (SIBAL) and 1 mm thick polymethyl methacrylate (PMMA) slab are burned between a pair of parallel flow baffles in a small flow duct. By varying the sample-baffle distance, various levels of confinement are achieved (H = 1–2 cm). Three types of baffles, transparent, black, and reflective, are used to create different radiative boundary conditions. The purely forced flow speed is also varied (between 2.6 and 10.5 cm/s) to investigate its interplay with the confinement level. For both sample materials, it is observed that the flame spread rate decreases when the confinement level increases (i.e., when H decreases). In addition, flame spread rate is shown to have a positive correlation with flow speed, up to an optimal value. The results also indicate that the optimal flow speed for flame spread can decrease in highly confined conditions. Surface radiation on the confinement boundary is shown to play a key role. For SIBAL fabric, stronger flames are observed when using black baffles compared to transparent. For PMMA, reflective baffles yield stronger flames compared to black baffles. When comparing the results to the concurrent-flow case, it is also noticed that opposed-flow flames spread slower and blow off at larger flow speeds but are not as sensitive to the flow speed. This work provides unique long-duration microgravity experimental data that can inform the design of future opposed-flow experiments in microgravity and the development of theory and numerical models.
The Ethical Dimensions of Mindfulness in Public Health
Authors: Berryman Kevin 
Published: April 2024

AbstractThis commentary on “Mindfulness for global public health: Critical analysis and agenda” seeks to add to the discussion by considering, what are the moral or ethical implications of introducing mindfulness-based interventions (MBIs) into public health? An open question should be asked: Do MBIs promote “moral health,” a type of mental well-being based on moral integrity? Currently, there is a lack of comprehensive understanding regarding the moral influences of MBIs on individuals, but more concerning is the complete absence of population or collective-based data. Moreover, the data on the moral influences of MBIs originate from neurotypical, socially advantaged, and homogeneous demographics, so caution is warranted regarding the potential impact on general public’s moral functioning before proceeding. This commentary briefly reviews the existing literature on the relationship between moral functioning and MBIs, then addresses why the unknown effects of moral functioning from mindfulness on a social level are a concern for public health. Following many of Oman’s proposed axes, it then raises questions about what MBIs could do to the moral functioning of certain populations with mental health issues, diverse and disadvantaged populations, and various multi-sector levels throughout society. In some cases, MBIs might need to include ethical adaptations, which add components that explicitly encourage moral development. These adaptations could support protective measures or mitigate moral risk factors. The commentary concludes by suggesting that ethical motivation could be an added axis to Oman’s scheme, as there is an alignment between mindfulness and public health. Nonetheless, it cautions that more research is needed at the population level on the moral influences from MBIs before their widespread implementation in public health.
Circulating tumor cells clusters and their role in Breast cancer metastasis; a review of literature
Authors: Sayed Zeinab S. , Khattap Mohamed G. , Madkour Mostafa A. , Yasen Noha S. , Elbary Hanan A. , Elsayed Reem A. , Abdelkawy Dalia A. , Wadan Al-Hassan Soliman , Omar Islam , Nafady Mohamed H. 
Published: April 2024

AbstractBreast cancer is a significant and deadly threat to women globally. Moreover, Breast cancer metastasis is a complicated process involving multiple biological stages, which is considered a substantial cause of death, where cancer cells spread from the original tumor to other organs in the body—representing the primary mortality factor. Circulating tumor cells (CTCs) are cancer cells detached from the primary or metastatic tumor and enter the bloodstream, allowing them to establish new metastatic sites. CTCs can travel alone or in groups called CTC clusters. Studies have shown that CTC clusters have more potential for metastasis and a poorer prognosis than individual CTCs in breast cancer patients. However, our understanding of CTC clusters' formation, structure, function, and detection is still limited. This review summarizes the current knowledge of CTC clusters' biological properties, isolation, and prognostic significance in breast cancer. It also highlights the challenges and future directions for research and clinical application of CTC clusters.
Averting Depletion in a Two-Player Common Pool Resource Game: Being Seen, the Expectation of Future Encounters, and Biophilia Play a Role in Cooperation
Authors: Bonfrisco Mario , Russell Yvan I. , Broom Mark , Spencer Robert 
Published: April 2024

AbstractUsing a two-player common pool resource game, we investigated the influence of multiple factors on cooperation: (1) probability of future rounds, (2) visibility of other participants, (3) biophilia, (4) future discounting, and (5) life history. In each round, participants simultaneously and independently (without conferring) decided how much of the common pool to consume. Participants (n = 116) were informed that the shared resource would be fully replenished in the next round—but only if—both players together consumed ≤ 50% of the common pool in the current round. Additionally, participants were told the probability (0–100%) of further rounds of play with the same player (this probability was not real; it was purely to manipulate the player’s expectations). To assess the effect of the probability of future rounds, we developed a mathematical model to predict the threshold that would permit a Nash Equilibrium of Conditional Cooperation (CC). To manipulate visibility, half the pairs were tested in the same room (seen condition) and half in separate rooms (unseen condition). To measure biophilia, the “Nature Relatedness” (NR) scale was used. To measure future discounting, the “consideration of future consequences” (CFC) scale was used. To measure life history, the participant’s UK postcode was obtained (indicating possible residence in a deprived neighbourhood). Participants in our study were not paid. In our results, there was a significant effect showing more cooperation in the visible than not visible condition, but no significant effects of NR, CFC, nor postcodes (but NR was significant in interaction with visibility). For predictability of future rounds, we found a number of significant effects using different tests. A notable result was that there was significantly more CC when the probability of future rounds was ≥ 69% (congruent with one of our model predictions).
Immunomodulatory potential of rapamycin-loaded mesoporous silica nanoparticles: pore size-dependent drug loading, release, and in vitro cellular responses
Authors: Pérez-Moreno Ana M. , Aranda Carlos J. , Torres María José , Mayorga Cristobalina , Paris Juan L. 
Published: April 2024

AbstractRapamycin is a potent immunosuppressive drug that has been recently proposed for a wide range of applications beyond its current clinical use. For some of these proposed applications, encapsulation in nanoparticles is key to ensure therapeutic efficacy and safety. In this work, we evaluate the effect of pore size on mesoporous silica nanoparticles (MSN) as rapamycin nanocarriers. The successful preparation of MSN with 4 different pore sizes was confirmed by dynamic light scattering, zeta potential, transmission electron microscopy and N2 adsorption. In these materials, rapamycin loading was pore size-dependent, with smaller pore MSN exhibiting greater loading capacity. Release studies showed sustained drug release from all MSN types, with larger pore MSN presenting faster release kinetics. In vitro experiments using the murine dendritic cell (DC) line model DC2.4 showed that pore size influenced the biological performance of MSN. MSN with smaller pore sizes presented larger nanoparticle uptake by DC2.4 cells, but were also associated with slightly larger cytotoxicity. Further evaluation of DC2.4 cells incubated with rapamycin-loaded MSN also demonstrated a significant effect of MSN pore size on their immunological response. Notably, the combination of rapamycin-loaded MSN with an inflammatory stimulus (lipopolysaccharide, LPS) led to changes in the expression of DC activation markers (CD40 and CD83) and in the production of the proinflammatory cytokine TNF-α compared to LPS-treated DC without nanoparticles. Smaller-pored MSN induced more substantial reductions in CD40 expression while eliciting increased CD83 expression, indicating potential immunomodulatory effects. These findings highlight the critical role of MSN pore size in modulating rapamycin loading, release kinetics, cellular uptake, and subsequent immunomodulatory responses.
Graphical abstract