bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tyrosine hydroxylase phosphorylation is under the control of serine 40
Authors: Stoop Jesse , Douma Erik H. , van der Vlag Marc , Smidt Marten P. , van der Heide Lars P. 
Published: September 2023

AbstractTyrosine hydroxylase catalyzes the initial and rate‐limiting step in the biosynthesis of the neurotransmitter dopamine. The phosphorylation state of Ser40 and Ser31 is believed to exert a direct effect on the enzymatic activity of tyrosine hydroxylase. Interestingly, some studies report that Ser31 phosphorylation affects Ser40 phosphorylation, while Ser40 phosphorylation has no effect on Ser31 phosphorylation, a process named hierarchical phosphorylation. Here, we provide a detailed investigation into the signal transduction mechanisms regulating Ser40 and Ser31 phosphorylation in dopaminergic mouse MN9D and Neuro2A cells. We find that cyclic nucleotide signaling drives Ser40 phosphorylation, and that Ser31 phosphorylation is strongly regulated by ERK signaling. Inhibition of ERK1/2 with UO126 or PD98059 reduced Ser31 phosphorylation, but surprisingly had no effect on Ser40 phosphorylation, contradicting a role for Ser31 in the regulation of Ser40. Moreover, to elucidate a possible hierarchical mechanism controlling tyrosine hydroxylase phosphorylation, we introduced tyrosine hydroxylase variants in Neuro2A mouse neuroblastoma cells that mimic either phosphorylated or unphosphorylated serine residues. When we introduced a Ser40Ala tyrosine hydroxylase variant, Ser31 phosphorylation was completely absent. Additionally, neither the tyrosine hydroxylase variant Ser31Asp, nor the variant Ser31Ala had any significant effect on basal Ser40 phosphorylation levels. These results suggest that tyrosine hydroxylase is not controlled by hierarchical phosphorylation in the sense that first Ser31 has to be phosphorylated and subsequently Ser40, but, conversely, that Ser40 phosphorylation is essential for Ser31 phosphorylation. Overall our study suggests that Ser40 is the crucial residue to target so as to modulate tyrosine hydroxylase activity.image
Low tongue pressure and depression using Kihon Checklist for assessing frailty status among community‐dwelling Japanese older adults: A pilot study
Authors: Yoshikawa Mineka , Nishikawa Yuichi , Kitagawa Masae , Nagao Akiko , Hiraoka Aya , Haruta Azusa , Takeuchi Maho , Yoshida Mitsuyoshi , Tsuga Kazuhiro 
Published: September 2023

AbstractBackgroundEvaluation of low tongue pressure is used to diagnose oral hypofunction. The pathophysiology of oral hypofunction is hypothesized to be associated with oral dysfunction related to ageing. Depression in older adults is a major problem and is related to handgrip strength, which is related to tongue pressure. We hypothesized that low tongue pressure could indicate depression mood in community‐dwelling older adults.ObjectivesThis study aimed to measure maximum tongue pressure and compare it to the responses to the Kihon Checklist (KCL), which is used to check mental and physical deterioration of community‐dwelling older adults.MethodsA total of 49 community‐dwelling independent older adults with stable dental condition (23 men, 26 women; median age, 79 years) answered the KCL, which contained questions on frailty status, cognitive function, nutritional and sarcopenia status. Oral function was measured to assess oral hypofunction. The relationship between tongue pressure differences and frailty status, cognitive function, nutritional and sarcopenia status was analysed using logistic regression analyses after adjusting for age and sex.ResultsNine participants (6 men and 3 women; median age, 81 years) had a tongue pressure <23.0 kPa, which was the lowest limit of the standard value of maximum tongue pressure in patients aged ≥70 years. Logistic regression analyses showed that only Question 21, which is related to a lack of fulfilment in daily life, was significantly associated with low tongue pressure (p = .027).ConclusionLow tongue pressure may be associated with sociopsychological factors in older adults.
Fast topology optimization of phononic crystal‐based metastructures for vibration isolation by deep learning
Authors: Liu Chen‐Xu , Yu Gui‐Lan , Liu Zhanli 
Published: September 2023

AbstractA novel deep learning‐based optimization (DLBO) methodology is proposed for rapidly optimizing phononic crystal‐based metastructure topologies. DLBO eliminates the need for pre‐optimized data by leveraging the learned relation from metastructure features to bandgaps. It enables optimization based on qualitative/quantitative descriptions and forms a regular generalization domain to avoid misjudgments. DLBO achieves similar or better results to genetic algorithm (GA) and only requires 0.01% of the time GA costs. Metastructures with different periodic constants and filling fractions are also optimized, offering insights for balancing space, material, and vibration isolation. Based on a newly defined objective function, an economical metastructure is customized for subway‐induced vibrations; and its performance on vibration isolation is verified through a 3D finite element model. Additionally, the datasets and codes in this study are shared.
Evaluation of maxillary sinus volumes and pathologies in children with and without cleft lip and palate using cone beam computed tomography
Authors: Altun Busra Dilara , Dumlu Asim 
Published: September 2023

AbstractObjectiveThe aim of this study is to evaluate the maxillary sinus (MS) volume and pathologies, nasal septum (NS) deviation, and MS septa formation in children with and without cleft lip and palate (CLP); also to investigate the possible causes of MS pathologies.Materials and MethodsCone Beam Computed Tomography (CBCT) images of 200 (100 CLP, 100 control) children (5–18 years old) were evaluated from the computer database of Marmara University Faculty of Dentistry. Children with a history of maxillofacial trauma, diseases that affect bone metabolism, orthognathic surgery, extrinsic pathologies of the MS, and accompanying syndromes were excluded. NS deviation, MS septa formation, volume, and pathologies evaluated using Mimics® software. In statistical evaluations; Student t test, paired sample t test, Chi‐Square test, Fisher's Exact Chi‐Square test, Continuity Correction, Chi‐square analysis in one‐eyed layout, McNemar test, and logistic regression analysis were used.ResultsTotal MS volume was smaller in the CLP group (21 232 mm3) than in control children (23 763 mm3) (P:0.026). NS deviation and MS pathology were more frequent in the CLP. In logistic regression analysis, there was no significant relation between the presence of NS deviation and pathology in MS. The presence of CLP increased the risk of MS pathology by 2.6 times.ConclusionWe found that children with CLP have less MS volume and an increased rate of NS deviation and MS pathology compared to the control group. Further radiological and clinical studies are needed to explain the predisposing factors of MS pathology in children with CLP.
Prevalence and associated factors of cognitive frailty in community‐dwelling older adults: Results from the Korean longitudinal study of aging
Authors: Lee Taewha , Chung Jane , Song Kijun , Ji Yoonjung 
Published: September 2023

AbstractBackgroundCognitive frailty, a condition characterized by physical frailty with cognitive impairment, is emerging as a determinant of adverse health outcomes in older adults. However, its prevalence and correlation with associated factors are unknown in the aging population of Korea.ObjectivesTo estimate the prevalence of cognitive frailty and identify factors associated with it among older Korean adults.MethodsA secondary analysis was performed using the Korean Longitudinal Study of Aging seventh survey dataset collected in 2018. Multinomial logistic regression analyses were conducted to examine the association between cognitive frailty and demographic, psychosocial, oral health and physical function factors. Individuals aged ≥65 years and without dementia were included (N = 1024). Participants were classified into four groups based on the presence or absence of physical frailty and mild cognitive impairment. This article is executed in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement.ResultsThe prevalence of cognitive frailty in the study sample was 11.2%. The results of multinomial logistic regression showed that advanced age, being female, lower education levels, heart disease, arthritis or rheumatoid arthritis, underweight, depression, non‐social activity, poor oral health and functional limitation were significantly associated with cognitive frailty.ConclusionsCognitive frailty is prevalent among community‐dwelling older adults in Korea. The findings provide primary care providers with insights about effective strategies for identifying at‐risk individuals and will guide the development of population‐level interventions to prevent or delay the onset of physical frailty and cognitive impairment in older adults.Implications for practiceThe findings provide practical information to healthcare providers for identifying cognitive frailty in older adults. The risk factors of cognitive frailty, such as psychosocial, oral health, and physical function factors, should be thoroughly monitored for older adults. Health personnel working in primary care have a critical role in identifying risk and beneficial factors and promoting preventative strategies that enhance health outcomes.
“For just decisions we need you!”: Relational decision‐making and the bureaucratic exclusion of “poor others”
Authors: Achermann Christin , Borrelli Lisa Marie , Pfirter Luca 
Published: September 2023

AbstractFocusing on the intersections between bureaucracies of welfare and migration control, this article interrogates how decisions about the future stay of non‐citizens receiving social assistance are made in a relational interplay of different offices and actors in Switzerland. We investigate how relational decision‐making is fundamental in crafting legitimate decisions about the exclusion of “poor others.” Based on ethnographic fieldwork with diverse actors involved in migration control enforcement and welfare policy implementation, this article contributes to understanding how legal regulations turn into social reality. We show that a multitude of actors, including social services, inform and affect migration control‐related decisions. This relationality co‐produces the outcome and legitimacy of the final decision taken by the respective migration office. In turn, the actors’ fields of action, values, and procedures are themselves affected by this relational involvement. The relational character of decision‐making therefore involves an expansion of migration control into other bureaucratic and social fields that co‐construct legitimate decisions concerning the deportation of “poor others” and create the illusion of a “coherent state,” invisibilizing structural inequalities.
Aligning top‐down and bottom‐up modes of governance? How EU Fisheries Local Action Groups support small‐scale fisheries and coastal community development in Sweden
Authors: Linke Sebastian , Siegrist Nathan 
Published: September 2023

AbstractSmall‐scale fisheries and coastal communities experienced dramatic downward trends over recent decades impacting rural development on European coastlines. Fisheries governance in the European Union (EU) follows exogenous top‐down regulations steering fishing practices through detailed regulations. In contrast, the EU's structural funding system of Fisheries Local Action Groups (FLAGs) involves an endogenous approach consisting of more participatory bottom‐up processes. This article explores these approaches by investigating the capacity of Swedish FLAGs to support small‐scale fisheries and coastal communities. Using document analyses and interviews, we show that, in principle, the FLAG approach has the capacity to support local fisheries developments and to foreground small‐scale fisheries interests in combination with community interests. However, the unique Swedish FLAG experience reveals a diminished scope for including small‐scale fisheries’ and coastal communities’ interests on a structural basis. The Swedish FLAG experience, we conclude, mirrors a path‐dependent trajectory of marginalisation and disempowerment of local fisheries interests hampering the potential of endogenous development.
Enhancing diagnostic accuracy in common human poxvirus infections during mpox outbreak: A dermoscopy review
Authors: Li Xu , Zhao Mutong , Li Yanfei , Zhang Anda , Liu Ying , Li Jiaojiao , Li Dan , Guo Jingxue , Ma Lin , Mu Qiri 
Published: September 2023

AbstractPoxviruses belong to the Poxviridae family, a group of pathogens known for their high infectivity in humans, posing significant health threats. One of the most well‐known representatives of poxvirus infections is smallpox, which has been successfully eradicated. However, in recent years, there has been a resurgence in cases of mpox, another member of the Poxviridae family, raising concerns about the potential for a global pandemic or a worldwide health crisis. While the typical clinical presentation of mpox and other poxvirus infections often involves cutaneous lesions, there have been reports of various atypical and non‐classic clinical manifestations. Dermoscopy has emerged as a crucial diagnostic tool, aiding dermatologists in clinical practice to make informed decisions. In this summary, we provide an overview of the clinical and dermoscopic features of representative cutaneous lesions associated with human poxvirus infections, including mpox, orf, milker's nodule, and molluscum contagiosum.
Role of concept map format and student interest on introductory electrochemistry learning
Authors: Wong Rachel M. , Alpizar David , Adesope Olusola O. , Nishida Krista R. A. 
Published: September 2023

AbstractElectrochemistry, a key topic in introductory chemistry, is a topic that many students struggle with conceptually. Visual learning tools like concept maps allow the externalization of key concepts and the relationships between these concepts may aid in students' acquisition and retention of newly learned electrochemistry concepts. Partnering with a general chemistry instructor, this study explored the effectiveness of two concept map formats—fill‐in‐the‐concepts and student‐corrected maps, on electrochemistry outcomes with undergraduate general chemistry students. To examine students' engagement with these maps, we also explored the role of students' interest. Results indicated that prior knowledge and map condition were significant predictors of students' electrochemistry performance. Specifically, the fill‐in‐the‐concepts condition resulted in better learning outcomes than the map correction condition. Furthermore, students with a higher interest in electrochemistry were more likely to perform well on their respective concept mapping activities, thus, scoring higher on the posttest. These findings suggested that concept maps can effectively represent key concepts of a challenging topic, and are beneficial for students' learning and retention of information. Importantly, instructors may further support learning by providing scaffolds in the form of fill‐in‐the‐concept maps to help students better organize their mental structures and identify misconceptions.
On the number of tiles visited by a line segment on a rectangular grid
Authors: Arkhipov Alex , Mendo Luis 
Published: September 2023

AbstractConsider a line segment placed on a two‐dimensional grid of rectangular tiles. This paper addresses the relationship between the length of the segment and the number of tiles it visits (i.e., has intersection with). The square grid is also considered explicitly, as some of the specific problems studied are more tractable in that particular case. The segment position and orientation can be modeled as either deterministic or random. In the deterministic setting, the maximum possible number of visited tiles is characterized for a given length, and conversely, the infimum segment length needed to visit a desired number of tiles is analyzed. In the random setting, the average number of visited tiles and the probability of visiting the maximum number of tiles on a square grid are studied as a function of segment length. These questions are related to Buffon's needle problem and its extension by Laplace.
An intrinsic approach to relative braid group symmetries on ı$\imath$quantum groups
Authors: Wang Weiqiang , Zhang Weinan 
Published: September 2023

AbstractWe initiate a general approach to the relative braid group symmetries on (universal) quantum groups, arising from quantum symmetric pairs of arbitrary finite types, and their modules. Our approach is built on new intertwining properties of quasi ‐matrices which we develop and braid group symmetries on (Drinfeld double) quantum groups. Explicit formulas for these new symmetries on quantum groups are obtained. We establish a number of fundamental properties for these symmetries on quantum groups, strikingly parallel to their well‐known quantum group counterparts. We apply these symmetries to fully establish rank 1 factorizations of quasi ‐matrices, and this factorization property, in turn, helps to show that the new symmetries satisfy relative braid relations. As a consequence, conjectures of Kolb–Pellegrini and Dobson–Kolb are settled affirmatively. Finally, the above approach allows us to construct compatible relative braid group actions on modules over quantum groups for the first time.
2‐Selmer parity for hyperelliptic curves in quadratic extensions
Authors: Morgan Adam 
Published: September 2023

AbstractWe study the 2‐parity conjecture for Jacobians of hyperelliptic curves over number fields. Under some mild assumptions on their reduction, we prove the conjecture over quadratic extensions of the base field. The proof proceeds via a generalisation of a formula of Kramer and Tunnell relating local invariants of the curve, which may be of independent interest. A new feature of this generalisation is the appearance of terms which govern whether or not the Cassels–Tate pairing on the Jacobian is alternating, which first appeared in work of Poonen–Stoll. We establish the local formula in many instances and show that in remaining cases, it follows from standard global conjectures.
The Hybrid Pathway to Flexible Power Turbines, Part I: Novel Autoencoder Methods for the Automated Optimization of Thermal Probes and Fast Sparse Data Reconstruction, Enabling Real-Time Thermal Analysis
Authors: Baker Mark , Rosic Budimir 
Published: September 2023

Abstract
The global drive toward renewable energy is imposing challenging operating requirements on power turbines. Flexible load-leveling applications must accept more frequent and demanding start-stop cycles. Full transient analyses are too computationally expensive for real-time simulation across all operating regimes so monitoring relies on sparse physical measurements. Alone, these sparse data lack the fidelity for real-time prediction of a complex thermal field. A new hybrid methodology is proposed, coupling data across a range of fidelities to bridge the limitations in the individual analyses. Combining several fidelity methods in parallel, low-order models, corrected by real-time physical measurements, is calibrated with high-fidelity simulations. The multifaceted hybrid approach enables the real-time speed of low-order analysis at high resolution. This paper series develops the critical enabling features of the hybrid method. Real-time cross-fidelity data transition is fundamental to the hybrid methodology. A novel neural network auto-encoder method is presented, facilitating complex thermal profile reconstruction. Uncovering a compressed latent space, auto-encoders leverage underlying data features for fast simulation. Coupled with a dynamic mask and top-k selection, thermal probe placement can be automatically optimized. The auto-encoder method is demonstrated on a turbine casing, reconstructing over 500 h of transient operation in real-time, whilst reducing the required number of measurements by half.
Virginia Tech Optical Inlet Sensor for Particle Detection: Rolls Royce M250 Turboshaft Demonstration
Authors: Antous Brittney , Byun Gwibo , Lowe K. Todd , Smith C. Fred 
Published: September 2023

Abstract
Propulsion systems are exposed to environmental ingestion hazards that can cause significant damage and decrease performance. Particles are ingested in a wide range of flight environments that can cause immediate engine failure or long-term damage. An accurate measurement technique has been developed to quantify particle ingestion and aid engine health monitoring. This sensor utilizes scattering and extinction techniques along with machine learning models to measure particle characteristics based on a robust and versatile library. The capabilities of this sensor have been demonstrated using solid quartz particles on the Rolls-Royce M250-C20B particle ingestion turboshaft test engine. To the authors' knowledge, this work presents the first demonstration and validation of optical solid particle sensing in a turbine engine. CSPEC sand (Mil-E-5007C) was ingested for the validation test at two different feed rates using a sand feeder. The sand concentrations were 45 mg/m3 and 22 mg/m3. The sensor outputs the particle characteristics of aspect ratio (AR), size distribution (σ), Sauter mean diameter (D32), and the particle mass flowrate. The Sauter mean diameter and mass flowrate of ingested sand were calculated using the machine learning model outputs and validated by independent measurements. The sensor produced a 0.1 g/min RMS error compared to the validation measurement.
The Hybrid Pathway to Flexible Power Turbines, Part II: Fast Data Transfer Methods Between Varying Fidelity Simulations, to Enable Efficient Conjugate Thermal Field Prediction
Authors: Baker Mark , Rosic Budimir 
Published: September 2023

Abstract
The global drive toward renewable energy is imposing challenging operating requirements on power turbines. Flexible load-leveling applications must accept more frequent and demanding start-stop cycles. Full transient analyses are too computationally expensive for real-time simulation across all operating regimes so monitoring relies on sparse physical measurements. Alone, these sparse data lack the fidelity for real-time prediction of a complex thermal field. A novel hybrid methodology is proposed, coupling data across a range of fidelities to bridge the limitations in the individual analyses. Combining several fidelity methods in parallel; low-order models, corrected by real-time physical measurements, are calibrated with high-fidelity simulations. A newly developed low-order thermal network code is used to predict the thermal field in real-time. High-fidelity flow characteristics are routinely transferred to the decoupled low-order solution. A critical enabling feature of this hybrid approach is the fast data interpolation between differing fidelity numerical simulations. This paper evaluates a spatial Kriging method for robust data transfer between two different fidelity mesh, tested in the case of thermal profile prediction of a power turbine. Additionally, a novel coordinate-based hash mapping process is demonstrated for the fast high-to-low fidelity data transfer. Localized hashing allows independent, parallel, nearest neighbor search at significantly reduced computational cost. The demonstrated method facilitates fast mesh pairing, necessary to support the real-time hybrid method for thermal field prediction during turbine transient operation.