bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low TTG‐IgA associated with isolated bulb pathology in pediatric celiac disease: Implications in a no‐biopsy approach era
Authors: Wang Qing Yin , Jantchou Prévost , Dirks Martha , Lavoie Sébastien B. , Oligny Luc L. , Dal Soglio Dorothée , Patey Natacha 
Published: January 2025

AbstractObjectivesDuodenal involvement in celiac disease (CD) can be patchy, with a subset of patients demonstrating histopathological involvement limited to the bulb. This study evaluates whether bulb‐restricted CD represents a distinct subgroup associated with lower titers of immunoglobulin A anti‐tissue transglutaminase antibody (TTG‐IgA) compared to distal duodenal CD in pediatric patients. Additionally, we assess the impact of a no‐biopsy approach for pediatric CD with TTG‐IgA ≥10 times the upper limit of normal (TTG‐IgA ≥10× ULN) on the relative frequency of bulb‐restricted CD among biopsied patients.MethodsIncident pediatric CD cases were identified retrospectively between 2017 and 2022. A no‐biopsy approach for TTG‐IgA ≥10× ULN was locally implemented in 2020. Serum TTG‐IgA was categorized as negative, equivocal, positive TTG‐IgA <10× ULN, and positive TTG‐IgA≥ 10× ULN. Biopsies were classified by Marsh score and site of involvement.ResultsOf the 405 cases included (mean age = 9.6 years, female‐to‐male ratio = 2.1:1), bulb‐restricted CD was present in 7.4%. TTG‐IgA was negative or equivocal in 60.0% of bulb‐restricted CD, compared to 5.3% of distal duodenal CD (odds ratio [OR] = 26.6; 95% confidence interval [CI] = [11.1–63.3], p < 0.001). Notably, no bulb‐restricted CD cases attained TTG‐IgA ≥10× ULN, compared to 48.5% of distal duodenal CD. Following local implementation of the no‐biopsy approach for TTG‐IgA ≥10× ULN, the relative percentage of bulb‐restricted CD significantly increased from 4.6% to 12.4% (OR = 2.9, 95% CI = [1.4–6.4], p = 0.004).ConclusionPediatric CD with isolated bulb pathology presents with lower serum TTG‐IgA titers than cases with distal duodenal involvement. Implementation of the no‐biopsy approach increased the relative proportion of bulb‐limited CD, as these cases were not associated with TTG‐IgA ≥10× ULN.
Maximized Enhancement of Polarized and Unpolarized Emissions via Critical Coupling in Brillouin Zone Folding Metasurfaces
Authors: Han Jungho , Lim Yeonsoo , Lee Jeheon , Kim Seongheon , Jun Young Chul 
Published: January 2025

AbstractCritical coupling can induce maximized field enhancement in resonant optical modes. Therefore, it is important for various photonic technologies. Here, it is shown that directional light sources with highly enhanced emission intensities can be realized via critical coupling. A clear experimental demonstration of maximized emission enhancement is presented in quantum dot (QD)‐coated Brillouin zone folding (BZF) metasurfaces. BZF dielectric metasurfaces support guided‐mode resonances, where the radiative quality factor can be gradually tuned by structural parameters, allowing critical coupling to occur at the QD emission wavelength. Maximized enhancements of polarized and unpolarized emissions are demonstrated in the normal direction, resulting in highly enhanced, directional, and narrow‐angled emissions. The investigations indicate that light emission from quantum emitters can be optimized via critical coupling and that BZF metasurfaces can provide a highly tunable platform for both polarization‐sensitive and polarization‐insensitive critical coupling. Maximized field enhancement and highly enhanced light–matter interactions in BZF metasurfaces are important for a wide range of photonic technologies such as light sources, photodetectors, sensors, nonlinear enhancement, and quantum photonic devices.
A Mobile Health Intervention for Improving Problem‐Solving Skills, Emotional Adaptation, and Glycemic Control in Patients With Type 2 Diabetes
Authors: Wu Fei‐Ling , Lin Chia‐Hung , Lin Chia‐Ling , Sun Jui‐Chiung , Juang Jyuhn‐Huarng 
Published: January 2025

ABSTRACTMobile health (mHealth) enables health‐care professionals to assist patients with type 2 diabetes (T2D) in effective self‐management of the disease. Using a quasi‐experimental design, we evaluated the effectiveness of a nurse‐led mHealth problem‐solving program (mHealth‐PSP) in enhancing problem‐solving skills, improving emotional adaptation, and reducing glycated hemoglobin (HbA1c) levels in patients with T2D. The present study included 83 patients with T2D from two hospitals in northern Taiwan. All diagnoses were made at least 1 year before the study. Eligible patients were divided into an intervention group (n = 41; underwent an mHealth‐PSP for 4 months) and a usual care group (n = 42). Self‐report surveys and HbA1c measurements were performed at baseline (T0) and 6 (T1), 9 (T2), and 12 (T3) months after the intervention. The intervention group exhibited better problem‐solving skills and lower HbA1c levels at T3 than at T0; however, the usual care group exhibited no changes in these parameters. Furthermore, although the intervention group exhibited a slight increase in emotional adaptation scores between T0 and T1, these scores decreased significantly over time. Overall, mHealth‐PSP can optimize long‐term T2D management, enabling health‐care professionals to help patients achieve improved health outcomes.
Development of an offline and online hybrid model for the Integrated Forecasting System
Authors: Farchi Alban , Chrust Marcin , Bocquet Marc , Bonavita Massimo 
Published: January 2025

AbstractIn recent years, there has been significant progress in the development of fully data‐driven global numerical weather prediction models. These machine learning weather prediction models have their strengths, notably accuracy and low computational requirements, but also their weaknesses: they struggle to represent fundamental dynamical balances, and they are far from being suitable for data assimilation experiments. Hybrid modelling emerges as a promising approach to address these limitations. Hybrid models integrate a physics‐based core component with a statistical component, typically a neural network, to enhance prediction capabilities. In this article, we propose to develop a model‐error correction for the operational Integrated Forecasting System (IFS) of the European Centre for Medium‐Range Weather Forecasts using a neural network. The neural network is initially pre‐trained offline using a large dataset of operational analyses and analysis increments. Subsequently, the trained network is integrated into the IFS within the Object‐Oriented Prediction System (OOPS) so as to be used in data assimilation and forecast experiments. It is then trained further online using a recently developed variant of weak‐constraint 4D‐Var. The results show that the pre‐trained neural network already provides a reliable model‐error correction, which translates into reduced forecast errors in many conditions, and that the online training improves the accuracy of the hybrid model further in many conditions.
Environment, Cardiovascular Health, and Local and Global Inequities
Authors: Ruiz-Rudolph Pablo , Yohannessen Karla 
Published: January 2025

Abstract
We are all aware that globally we are experiencing severe environmental degradations. We can intuitively relate to well-known environmental problems, such as traffic and industrial pollution, but we might feel more distant as how climate change or the urban environment might affect our health and how disproportionate these effects can be. From this perspective, the two guiding questions of this chapter are (1) whether the environment can affect cardiovascular health and (2) whether some particular groups, at local or global level, can be more affected. In trying to answer these questions, we focus in three interconnected environmental problems: air pollution, climate change, and urban environment. Throughout the chapter, we present these environmental stressors, their drivers, mechanisms, and dynamics, while recognizing the presence of synergistic loops between them. These stressors are closely related to the effects on cardiovascular health, and we show the pathways that link them, as well as the unequal distribution of both exposures to environmental factors and cardiovascular diseases. We conclude with recommendations to confront environmental threats, from the individual level to a more collective level considering the full picture of the problem, including the environment, health, and equity at the local, regional, and global levels.
Re-evaluating creative labor in the age of artificial intelligence: a qualitative case study of creative workers’ perspectives on technological transformation in creative industries
Authors: Öztaş Yunus Emre , Arda Balca 
Published: January 2025

Abstract
This article explores how the emergence of creative AI technologies transforms creative workers’ self-apprehension in the context of critical theory and labor studies. The distinguishing contribution of this study resides in its focus on how CI laborers’ creativity perception and reception are affected by AI technologies’ intrusion into the creative domain. Creative AI technologies are expected to present new expressive capacities to creative workers and cost-cutting advantages for CIs’ production that put a lot of creative jobs at risk. Findings show that creatives perceive the adaptation of AI technologies as both an opportunity for their creative process and a requirement of their active presence in the market survival as a matter of technocratic rule. We critically analyze creative labor’s novel mods engaged with updated technology and present reflections on the favorable co-creation conditions to flourish an understanding of socially intelligible technology and thereby a creative livelihood against technocracy.
Hyperfiniteness and Borel asymptotic dimension of boundary actions of hyperbolic groups
Authors: Naryshkin Petr , Vaccaro Andrea 
Published: January 2025

Abstract
We give a new short proof of the theorem due to Marquis and Sabok, which states that the orbit equivalence relation induced by the action of a finitely generated hyperbolic group on its Gromov boundary is hyperfinite. Our methods permit moreover to show that every such action has finite Borel asymptotic dimension.
Normative measurements of the frontal nerve by magnetic resonance imaging in an Australia cohort
Authors: Perera Dinan , Rana Khizar , Caltabiano Carmelo , Patel Sandy , Selva Dinesh 
Published: January 2025

Abstract

Purpose
To report the normative dimensions of the frontal nerve (FN) on fat-suppressed suppressed gadolinium (fs-gad) enhanced magnetic resonance imaging (MRI).

Method
A retrospective cohort study of patients who underwent coronal fs-gad T1-weighted MRI. Orbits were excluded if there was unilateral or bilateral pathology of the FN or optic nerve sheath (ONS), incomplete MRI sequences, poor image quality or indiscernible FN on radiological assessment. The maximum diameter of the FN and ONS was measured.

Results
The mean age of participants was 58 ± 16 years and 50% were females (n = 42). The mean normative measurements (mean ± standard deviation) on coronal T1-weighted imaging: optic nerve sheath, 5.08 ± 0.67mm. On coronal fs-gad T1-weighted imaging: frontal nerve, 0.74 ± 0.18mm. No significant differences were found between male or female participants in both the frontal nerve (p = 0.913) or optic nerve sheath (p = 0.646). There was no significant correlation between age and mean diameter of the frontal nerve (r = 0.14, p = 0.067) or optic nerve sheath (r = 0.075, p = 0.336). Additionally, no significant difference was identified between the mean diameter of the frontal nerve (p = 0.075) and optic nerve sheath (p = 0.120) across age groups. The mean frontal nerve to optic nerve sheath ratio was 0.15 ± 0.04.

Conclusion
Normative dimensions of the FN may provide quantitative cut-offs that can aid the diagnosis of FN enlargement seen in instances such as IgG4-related ophthalmic disease (IgG4-ROD) and neoplastic perineural spread.
Conservative SPDEs as fluctuating mean field limits of stochastic gradient descent
Authors: Gess Benjamin , Gvalani Rishabh S. , Konarovskyi Vitalii 
Published: January 2025

Abstract
The convergence of stochastic interacting particle systems in the mean-field limit to solutions of conservative stochastic partial differential equations is established, with optimal rate of convergence. As a second main result, a quantitative central limit theorem for such SPDEs is derived, again, with optimal rate of convergence. The results apply, in particular, to the convergence in the mean-field scaling of stochastic gradient descent dynamics in overparametrized, shallow neural networks to solutions of SPDEs. It is shown that the inclusion of fluctuations in the limiting SPDE improves the rate of convergence, and retains information about the fluctuations of stochastic gradient descent in the continuum limit.
CONELPABO: composite networks learning via parallel Bayesian optimization to predict remaining useful life in predictive maintenance
Authors: Solís-Martín David , Galán-Páez Juan , Borrego-Díaz Joaquín 
Published: January 2025

Abstract
Maintaining equipment and machinery in industries is imperative for maximizing operational efficiency and prolonging their lifespan. The adoption of predictive maintenance enhances resource allocation, productivity, and product quality by proactively identifying and addressing potential equipment anomalies through rigorous data analysis before they escalate into critical issues. Consequently, these measures strengthen market competitiveness and generate favorable economic outcomes. In many applications, sensors operate at high frequencies or capture data over extended periods. This work introduces CONELPABO (Composite Networks Learning via Parallel Bayesian Optimization), a framework for analyzing long time series data, particularly for predicting the remaining useful life of a system or component. It uses a divide-and-conquer strategy to manage the exponential growth in the hyperparameter search space during Bayesian Optimization and to accelerate model training by 50%. Additionally, this strategy enables the training of deeper networks with limited resources. The usefulness of the framework is demonstrated through two case studies, in which it achieves state-of-the-art results, showing that CNN-CNN and RNN-RNN architectures are highly effective for long time-series data. These architectures outperform many existing approaches and challenge the common academic focus on CNN-RNN hybrids.
Amino acid stable carbon isotopes in nail keratin illuminate breastfeeding and weaning practices of mother – infant dyads
Authors: Salahuddin Hana , Waters-Rist Andrea L. , Longstaffe Fred J. 
Published: January 2025

Abstract
Compound-specific stable carbon isotope analysis of amino acids (CSIA-AA) is widely used in ecological studies to analyze food-webs and is gaining use in archaeology for investigating past diets. However, its use in reconstructing breastfeeding and weaning practices is not fully understood. This study evaluates the efficacy of stable carbon isotope analysis of amino acids in early life diet reconstruction by analyzing keratin from fingernail samples of three mother-infant pairs during late gestation and early postpartum periods. Our results show that stable carbon isotope ratios (δ
13C) of glycine, and to a lesser extent glutamate, effectively trace the onset of exclusive breastfeeding and the end of weaning in infants. We propose that glycine’s ‘conditionally essential’ metabolic pathway during infancy allows it to reflect maternal glycine δ
13C, indicating breastmilk consumption. Subtle changes in glutamate δ
13C likely result from its ‘non-essential’ status. Additionally, δ
13C values of glycine and glutamate indicate maternal physiological and pathological stress due to catabolic effects such as gluconeogenesis. These findings have significant implications for ecological and archaeological research using CSIA-AA for dietary reconstructions. They highlight the need to understand how metabolic pathways affecting δ
13C of amino acids may change over an individual’s lifespan or be altered due to various forms of stress.
Medical teleconsultation from the patient’s perspective. A demographic segmentation
Authors: Arenas-Gaitán Jorge , Ramírez-Correa Patricio E. , Ledesma-Chaves Pablo , Callarisa Fiol Luis J. 
Published: January 2025

Abstract
Medical teleconsultation is a tool that is here to stay among the services offered by health systems. Therefore, it is important to understand the process of adopting this technology. However, most studies have endorsed the point of view of health professionals. Our research adopts the patient’s point of view with a sample of 1500 patients who have used teleconsultation in Spain between May and November 2022, therefore, in a post-COVID-19 scenario. We started from a technology acceptance model, UTAUT, and applied a novel segmentation technique: Pathmox. As a result, we have obtained six segments of patients using teleconsultation with differentiated technology acceptance processes, and we also propose strategies adapted to each of them.
Protein kinase C iota (PKCι) and pVHL are both needed for lysosomal degradation of α5 integrin in renal carcinoma cells
Authors: Schurr Alissa F. , Dave Chandni S. , Shah Prachi J. , Meth Jennifer L. , Jaramillo Alexandria S. , Bartley Kelly , Schoenfeld Alan R. 
Published: January 2025

Abstract

Background
von Hippel-Lindau (VHL) hereditary cancer syndrome is caused by mutations in the VHL tumor suppressor gene and is characterized by a predisposition to form various types of tumors, including renal cell carcinomas, hemangioblastomas, and pheochromocytomas. The protein products of the VHL gene, pVHL, are part of an ubiquitin ligase complex that tags hypoxia inducible factor alpha (HIF-α) for proteosomal degradation. pVHL has also been reported to bind to atypical protein kinase C (aPKC).

Methods and results
To better understand the relationship between pVHL and aPKC, the PKC iota (PKCι) isoform of aPKC was knocked out in renal carcinoma cells, both pVHL-negative and those with replaced pVHL. Cellular properties associated with pVHL function were assayed. Knockout of PKCι in pVHL-expressing cells led to greater downregulation of HIF-α than seen with pVHL alone, suggesting that the presence of PKCι opposes complete regulation of HIF-α by pVHL. In contrast, absence of either pVHL or PKCι disrupted tight junction formation and led to upregulated levels of α5 integrin, both of which were phenocopied by lysosomal inhibition. LAMP1 (lysosome associated membrane protein 1), a marker for lysosomes, showed dysregulated localization and altered electrophoretic gel migration in the absence of pVHL. While the upregulated α5 integrin seen in the absence of either pVHL or PKCι loss was associated with increased cell adhesion, loss of pVHL caused increased cell motility whereas loss of PKCι decreased motility.

Conclusions
These data are consistent with a known role of PKCι in endocytosis of α5 integrin and suggest a subsequent novel role of pVHL in targeting a pool of endocytosed α5 integrin for lysosomal degradation.
Repeated examiner-attorney interaction and patent approval
Authors: Tur Elena M. , Markus Arjan 
Published: January 2025

Abstract
Can factors other than technical merit influence whether a patent application is approved and how long that approval takes? We posit that interactions between a given patent attorney-examiner pair related to former patenting procedures benefit subsequent application processes, increasing the likelihood and speed of an application being granted. Combining USPTO PatEx data with the PATSTAT database enabled us to study over 3 million applications dating from 2001 to 2014. This revealed that examiner-attorney interactions and the percentage of those leading to approval increased the probability of grant approval and reduced the length of the process. For an average patent, with a lag of 36.45 months, a one-standard deviation increase in the mean of previous examiner-attorney interaction speeds up future grant processes by around 11 days, and a one-standard deviation increase in successful interaction speeds them up by a further 65 days. We conclude that communication between examiners and attorneys enhances mutual understanding and reduces friction between applicants and granting institutions. Our findings have implications for diverse stakeholders in the patent process, including patent office examiners, patent attorneys, and companies applying for patents.
Human recreational activity does not influence open cup avian nest survival in urban green spaces
Authors: Cull Chloe A. , Guest Mackenzie J. , Frei Barbara , Ziter Carly D. 
Published: January 2025

Abstract
The breeding period of birds is a critical and sensitive portion of the annual cycle. Understanding how human use of urban green spaces affects nest survival can improve our understanding of conserving breeding bird populations in cities and support science-based management of urban green spaces that benefit both people and nature. We conducted a nest survival field study between April and August of 2023 in multiple green spaces in Montreal, Quebec, Canada, the country’s second-largest city. We asked whether human presence (distance to trails and amount of human activity) influences the nest survival of four common open-cup nesting bird species: American robins (Turdus migratorius), gray catbirds (Dumetella carolinensis), Northern cardinals (Cardinalis cardinalis), and yellow warblers (Setophaga petechia). We also asked if variables traditionally associated with nest survival, such as vegetation concealment and seasonality, would influence nest survival. Our analyses surprisingly revealed no significant influence of human activity, vegetation concealment, and seasonality on nest survival for our target species. We found for nests that did fail, nests established during the earlier part of the nesting period failed faster. American robin nests were the most successful of our study’s four target species, whereas Northern cardinal nests were the least successful. Within the limitations of our study system, our findings suggest that human presence on trails is not negatively impacting the nesting success for our target bird species using urban green spaces. Our study provides integrated science advice to land managers so they can support opportunities for people to connect with nature without causing trade-offs with biodiversity conservation.