bluuebunny/crossref_metadata_2025_split huggingface dataset:
A free boundary model for transport-induced neurite growth
Authors: Marino Greta , Pietschmann Jan-Frederik , Winkler Max 
Published: November 2024

Abstract
We introduce a free boundary model to study the effect of vesicle transport onto neurite growth. It consists of systems of drift-diffusion equations describing the evolution of the density of antero- and retrograde vesicles in each neurite coupled to reservoirs located at the soma and the growth cones of the neurites, respectively. The model allows for a change of neurite length as a function of the vesicle concentration in the growth cones. After establishing existence and uniqueness for the time-dependent problem, we briefly comment on possible types of stationary solutions. Finally, we provide numerical studies on biologically relevant scales using a finite volume scheme. We illustrate the capability of the model to reproduce cycles of extension and retraction.
The Geneticization of Education and Its Bioethical Implications
Authors: Matthews Lucas J. 
Published: November 2024

Abstract
The day has arrived that genetic tests for educational outcomes are available to the public. Today parents and students alike can send off a sample of blood or saliva and receive a ‘genetic report’ for a range of characteristics relevant to education, including intelligence, math ability, reading ability, and educational attainment. DTC availability is compounded by a growing “precision education” initiative, which proposes the application of DNA tests in schools to tailor educational curricula to children’s genomic profiles. Here I argue that these happenings are a strong signal of the geneticization of education; the process by which educational abilities and outcomes come to be examined, understood, explained, and treated as primarily genetic characteristics. I clarify what it means to geneticize education, highlight the nature and limitations of the underlying science, explore both real and potential downstream bioethical implications, and make proposals for mitigating negative impacts.
Prevalence of and factors associated with overweight and obesity in patients with severe mental disorders in Shenzhen: results from the urban Chinese population
Authors: Shan Wei , Zhou Zhijian , Wang Guojun , Peng Xiaodong 
Published: November 2024

Abstract

Objective:
To determine the prevalence of overweight and obesity in patients with severe mental disorders (SMD) and the factors associated with their socio-demographic and disease characteristics in a cross-sectional population-based study.

Design:
This analysis examined the prevalence of overweight and obesity in 14 868 managed SMD patients in an urban area of Shenzhen city based on data from the health information monitoring system in 2021. Multivariate logistic regression were used to identify the factors associated with the prevalence of overweight and obesity in patients with SMD.

Setting:
China.

Participants:
14 868 patients with SMD.

Results:
The prevalence of overweight and obesity in patients with SMD in this study was 32·6 % and 16·1 %, respectively. In multivariate analysis, married status, Shenzhen household registration, management durations of 5–10 years and >10 years, participation in family physician services, taking clozapine or aripiprazole, FPG > 6·1 mmol/l, hypertension, TC ≥ 5·2 mmol/l, TG ≥ 1·7 mmol/l, and more frequent follow-ups in the past year were associated with higher odds of overweight and obesity. Compared to their respective reference categories, living with parents, spouse and children, taking risperidone, aripiprazole, amisulpride and perphenazine, FPG > 6·1 mmol/l, hypertension, TC ≥ 5·2 mmol/l, TG ≥ 1·7 mmol/l, and more frequent follow-ups in the past year were associated with higher odds of obesity.

Conclusion:
We observed a high prevalence of overweight and obesity in patients with SMD in this study. The findings highlight the need for integrated management of overweight and obesity risk factors among patients with SMD.
Primary healthcare as a strategy for eliminating hepatitis C: the METRIC toolkit
Authors: Baptista-Leite Ricardo , Lopes Henrique , Franco Diogo , Clemens Timo , Brand Helmut 
Published: November 2024

Abstract

Aim:
This paper presents the development of the METRIC toolkit, aimed at enhancing primary healthcare interventions in the context of hepatitis C control, thus contributing to the World Health Organization’s global strategy to achieve the elimination of the disease by 2030.

Background:
At the global level, most people living with hepatitis C are unaware of their condition. As such, the eradication of hepatitis C necessitates comprehensive strategies within primary healthcare settings, as it provides an opportunity to reach the general population, facilitates the identification of potential patients who may be unfamiliar with hepatitis C, and guides them toward adequate care. Herein, we propose the METRIC toolkit as a means to optimize the efficiency and efficacy of healthcare services dedicated to hepatitis C control.

Methods:
The development of the METRIC toolkit was guided by a thorough review of pertinent literature, focusing on primary healthcare interventions in hepatitis C control. Key components were identified, encompassing systematic problem identification, solution formulation, outcome evaluation, and feedback integration.

Findings:
The METRIC toolkit represents a valuable resource for strengthening primary healthcare interventions in hepatitis C control. By fostering a culture of continuous improvement and data-driven decision-making, this framework holds promise in advancing the global agenda towards hepatitis C elimination. However, its successful application requires careful consideration of contextual factors and ongoing adaptation to local needs and circumstances.
Effects of Tropospheric Turbulence on Radio Signal Data Passing Atmospheric Communication Links
Authors: Bronfman I. , Ben‐Shimol Y. , Blaunstein N. 
Published: November 2024

AbstractThis paper analyzes the effects of turbulent structures of different sizes on the structural parameter of the refractive index and, consequently, on the scintillation index of radio waves passing through atmospheric channels with fading. The relationships between these parameters are analyzed and discussed not only for weak turbulence, but also for moderate and strong turbulences occurring in the mid‐latitude troposphere. By using the relationship between the scintillation index of signal intensity and the well‐known Rician parameter of fast fading, and by obtaining the relationships between the signal data stream parameters, capacity, spectral efficiency, and bit error rate, and factor of fast fading, we have numerically analyzed various cases of data transmission over tropospheric communication links with fading. This analysis considers the effects of weak, moderate, and strong turbulence on the quality of data transmission over such communication links. The results of this study can be used to improve the design and performance of tropospheric communication links in the presence of turbulence.
Separating Storm Intensity and Arrival Frequency in Nonstationary Rainfall Frequency Analysis
Authors: O’Shea Declan , Nathan Rory , Wasko Conrad , Sharma Ashish 
Published: November 2024

AbstractNonstationary Rainfall frequency analysis (RFA) is used to assess how climate change is impacting the likelihood of extreme storms. A key limitation of covariate‐based approaches to nonstationary RFA is that without a physical basis, models selected based on the quality of fit to historical data cannot be reliably projected to estimate future quantiles. Here we propose to improve the physical representation of rainfall processes by using a peaks‐over‐threshold approach to separate the processes of storm intensity (impacted by thermodynamic drivers related to changes in atmospheric moisture) and storm arrival frequency (impacted by dynamic drivers that lead to changes in regional weather systems). Through stochastic experiments we demonstrate that quantiles can only be accurately projected beyond the observed climate when nonstationary models reflect the underlying nonstationary process. Through a case study we demonstrate how climate model projections of rainfall can be utilized to deduce nonstationary model structures, showing that changes in both the storm intensity and storm arrival frequency are needed to accurately estimate future quantiles. While here we propose a single simple physically informed approach for storm intensity, structuring the arrival frequency component requires a detailed understanding of atmospheric dynamics in the region of interest.
Convective and Orographic Origins of the Mesoscale Kinetic Energy Spectrum
Authors: Kouhen Salah , Storer Benjamin A. , Aluie Hussein , Marshall David P. , Christensen Hannah M. 
Published: November 2024

AbstractThe mesoscale spectrum describes the distribution of kinetic energy in the Earth's atmosphere between length scales of 10 and 400 km. Since the first observations, the origins of this spectrum have been controversial. At synoptic scales, the spectrum follows a −3 spectral slope, consistent with two‐dimensional turbulence theory, but a shallower −5/3 slope was observed at the shorter mesoscales. The cause of the shallower slope remains obscure, illustrating our lack of understanding. Through a novel coarse‐graining methodology, we are able to present a spatio‐temporal climatology of the spectral slope. We find convection and orography have a shallowing effect and can quantify this using “conditioned spectra.” These are typical spectra for a meteorological condition, obtained by aggregating spectra where the condition holds. This allows the investigation of new relationships, such as that between energy flux and spectral slope. Potential future applications of our methodology include predictability research and model validation.
Deducing Aerodynamic Roughness Length From Abundant Anemometer Tower Data to Inform Wind Resource Modeling
Authors: Wang Jiamin , Yang Kun , Yuan Ling , Liu Jiarui , Peng Zhong , Ren Zuhuan , Zhou Xu 
Published: November 2024

AbstractAerodynamic roughness length () fundamentally affects land surface momentum loss and wind resource simulation, but ground truth data of are sparse in space, causing datasets used in atmospheric models are empirically estimated from land cover types through a look‐up table. In this study, we derived values from 101 anemometer towers in China. Taking them as ground truth, we show that existing gridded datasets determined from either a look‐up table or a machine‐learning method contain considerable uncertainty and fail to capture the variability of within each land cover type, although the latter performs better. Even for the widely used ERA5, its is overestimated in wind‐rich regions of China, causing an underestimation of near‐surface wind speed. This highlights the necessity to improve data in atmospheric models. Current rapidly expanding anemometer towers may substantially enrich truth data and thus provide potential to improve wind resource modeling.
Role of Quasi‐Biweekly Cloud‐Radiative Feedback in Modulating and Simulating Extreme Rainfall Intensity Over Asian Monsoon Regions
Authors: Chen Hongli , Hsu Pang‐Chi , Hu Shuzhen 
Published: November 2024

AbstractAlthough Cloud‐radiative feedback (CRF) has been investigated in terms of its modulation of extreme precipitation over tropical oceans, the specific timeframe of CRF variability and the associated processes driving extreme rainfall over Asian monsoon regions remain unclear. Based on observational analyses and model sensitivity experiments, this study reveals that longwave CRF at the quasi‐biweekly timescale is most closely linked to the intensity of persistent (≥3‐day) heavy rainfall events in southern China and northern India by efficiently maintaining the large‐scale convective perturbations. When CRF is disabled, the quasi‐biweekly convective anomalies supporting extreme precipitation are weakened. Additional assessments of Coupled Model Intercomparison Project historical simulations confirm that models with more accurate quasi‐biweekly longwave CRF exhibit smaller biases in capturing the amplitude of persistent heavy rainfall. These results have implications for improving model capability in simulating and forecasting quasi‐biweekly CRF to mitigate the risks of extreme precipitation events in monsoonal Asia.
Cryo-electron tomography reveals how COPII assembles on cargo-containing membranes
Authors: Pyle Euan , Miller Elizabeth A. , Zanetti Giulia 
Published: November 2024

AbstractProteins traverse the eukaryotic secretory pathway through membrane trafficking between organelles. The coat protein complex II (COPII) mediates the anterograde transport of newly synthesized proteins from the endoplasmic reticulum, engaging cargoes with a wide range of size and biophysical properties. The native architecture of the COPII coat and how cargo might influence COPII carrier morphology remain poorly understood. Here we reconstituted COPII-coated membrane carriers using purified Saccharomyces cerevisiae proteins and cell-derived microsomes as a native membrane source. Using cryo-electron tomography with subtomogram averaging, we demonstrate that the COPII coat binds cargo and forms largely spherical vesicles from native membranes. We reveal the architecture of the inner and outer coat layers and shed light on how spherical carriers are formed. Our results provide insights into the architecture and regulation of the COPII coat and advance our current understanding of how membrane curvature is generated.
Performance and safety evaluation of a cold ablation robot-guided laser osteotome (CARLO) in 28 midface osteotomies
Authors: Köhnke Robert , Chin Shih-Jan , Assaf Alexandre T. , Helmbold Katja , Müller Andreas A. , Juergens Philipp , Wilken Tobias , Hirsch Sibylle , Morawska Marta M. , Wolff Jan , Smeets Ralf , Kluwe Lan , Holzinger Daniel , Schicho Kurt , Millesi Gabriele 
Published: November 2024

AbstractThe CARLO (cold ablation robot-guided laser osteotome) is a compact device with integrated multiple sensory, steering and safety checking elements. A multi-center study was performed to evaluate the CARLO device for the linear part of midface osteotomy in 28 patients. Feasibility, success rate, safety, performance and experience of the surgeons were assessed and evaluated. All 28 procedures were completed with CARLO without falling back to the conventional methods, giving a technical success rate of 100%. For 27 (96%) cases, procedural success was achieved with cutting lines deviation less than 2 mm. For 25 procedures, the CARLO-cutting was conducted smoothly. In the other 3 cases, some minor difficulties related to the reference markers were reported. For 18 procedures, no change for the cutting path was necessary. For the other 10 cases, cut path was adapted. Intraoperative re-planning was possible, easy and quick without significant delay of the procedures. No CARLO-related adverse events were recorded. Especially, there was no unexpected and unusual bleeding during the CARLO-conducted osteotomy. The time needed for the registration ranged from 1 to 12 min (median = 4). The CARLO-cutting lasted for 5 to 21 min (median = 7). The present study demonstrated feasibility, simplicity, safety, reliability and accuracy of CARLO for the linear part of midface osteotomy.
Method for extracting the surface impedance of a generic reflective metasurface
Authors: Smith J. G. , Hooper I. R. , Clow N. , Hibbins A. P. , Horsley S. A. R. 
Published: November 2024

AbstractWe develop a method for the extraction of the surface impedance tensor of a generic reflective metasurface using an analytic relation between the tensorial surface impedance and the four polarisation-dependent reflection coefficients. We apply this technique to experimental data obtained from a metasurface with a rhomboidal unit cell in the 16–26 GHz range, but note that it could be applied to reflective metasurfaces in any frequency regime. The extraction method can also be applied to model data to facilitate the design process of spatially graded tensorial metasurfaces that allow for full control of the form of the scattered field.
Settlement patterns and temporal successions of coral reef cryptic communities affect diversity assessments using autonomous reef monitoring structures (ARMS)
Authors: Couëdel Marion , Dettai Agnes , Guillaume Mireille M. M. , Bonillo Céline , Frattini Baptiste , Bruggemann J. Henrich 
Published: November 2024

AbstractAutonomous Reef Monitoring Structures (ARMS) are used worldwide to assess cryptic diversity, especially on coral reefs. They were developed as standardised tools, yet conditions of deployment, such as immersion duration and/or deployment and retrieval seasons, vary among studies. Here we studied temporal and seasonal variability in coral reef cryptic communities sampled with 15 ARMS on a single coral reef slope site at Reunion Island, Southwest Indian Ocean. Settlement patterns and temporal succession of Eukaryote communities were investigated across three immersion times (6 months, 1 year, 2 years), two immersion seasons (hot vs. cool) and three fractions (500–2000 μm, 106–500 μm, sessile) using two genetic markers (18S, COI). Both markers detected different taxa with different resolutions, but broadly similar patterns of community composition and structure. While OTU diversity of communities did not change with immersion time and season, these parameters significantly affected community structure and composition. Our results showed a decrease of the similarity of ARMS communities with duration of immersion, and a strong temporal turnover of species with only a small proportion of the diversity persisting over time. The small proportion of OTUs assigned at phylum level highlights the uniqueness of the Mascarene cryptobiome.
Repurposing of sericin combined with dactolisib or vitamin D to combat non-small lung cancer cells through computational and biological investigations
Authors: Helmy Maged W. , Youssef Mariam H. , Yamari Imane , Amr Alaa , Moussa Farouzia I. , El Wakil Abeer , Chtita Samir , El-Samad Lamia M. , Hassan Mohamed A. 
Published: November 2024

AbstractThis study aims to repurpose sericin in combating non-small lung cancer cells (A549 and H460) by combining it with dactolisib or vitamin D to reduce the dose of dactolisib and boost the anticancer effectiveness of dactolisib and vitamin D. Therefore, the binding affinities of individual and combined drugs were examined using in silico and protein-protein interaction studies, targeting NF-κB, Cyclin D1, p-AKT, and VEGF1 proteins. The findings manifested remarkable affinities for combinatorial drugs compared to individual compounds. To substantiate these findings, the combined IC50 for each combination (sericin + dactolisib and sericin + vitamin D) were determined, reporting 31.9 and 41.8 µg/ml, respectively, against A549 cells and 47.9 and 55.3 µg/ml, respectively, against H460 cells. Furthermore, combination indices were assessed to lower the doses of each drug. Interestingly, in vitro results exhibited marked diminutions in NF-κB, Cyclin D1, p-AKT, and VEGF1 after treatment with sericin + dactolisib and sericin + vitamin D compared to control lung cancer cells and those treated with a single drug. Moreover, A549 and H460 cells treated with both combinations demonstrated augmented caspase-3 levels, implying substantial apoptotic activity. Altogether, these results accentuated the prospective implementation of sericin in combination with dactolisib and vitamin D at low doses to preclude lung cancer cell proliferation.
A comparative study of temperature-dependent characteristics and non-local behavior in a submerged microstretch thermoelastic medium using two models
Authors: Othman Mohamed I. A. , Eraki Ebtesam E. M. , Ismail Mohamed F. 
Published: November 2024

AbstractThis article is concerned with a thermoelastic response in a non-local micro-stretch completely covered in the endless non-viscous fluid under temperature dependent, the medium is investigated employing the theory of Green-Naghdi (G-N III) and the model of three-phase-lag (3PHL).Basic equations are derived based on these models. The normal mode technique is employed to achieve an analysis solution to the problem. The study used a magnesium crystal element to compare non-local measurements of thermo-micro-stretch elasticity in water using the (G-N III) theory and the (3PHL) model. The non-local effect has been discovered to have a considerable impact on all physical quantities. Furthermore, comparisons are made between three different frequency values.
Exploring geothermal energy prospects through radioelement enrichment zones in Gabal Abu Hashim area in southeastern Aswan by geophysical and remote sensing data integration
Authors: El-Hadidy Shaimaa M. , Youssef Mohamed A. S. 
Published: November 2024

AbstractAlteration zones in the Eastern Desert are promising for minerals and geological resources exploration. Remote sensing and geophysical techniques offer cost-effective tools for identifying new exploration sites. Additionally, their use in mapping potential alteration zones is crucial for enhancing exploration. Geophysical and remote sensing data are integrated to perform a comprehensive study of minerals alteration associated with radioactive materials under controlling geological structures. This study aims to explore the associated radiogenic heat and geothermal energy to expand the geothermal resources assessments. The study utilizes Spectral Angle Mapper classification, band algebra, principal component analysis (PCA), surface lineament density, and decorrelation stretch techniques and Multiple Criteria Decision Analysis to enhance the mapping of mineralized alterations in the study area. It uses VNIR-SWIR ASTER data to identify hydrothermal alteration minerals and dominant alteration zones, also Landsat 8 Thermal Infrared Sensor (TIRS) offers two adjacent thermal bands, benefiting land surface temperature (LST) radiation from space in the Gabal Abu Hashim area. The area contains minerals alteration indicators like chlorite, alunite, illite, kaolinite, sericite, with less abundant ferrous minerals and epidote. Airborne gamma-ray spectrometry (AGRS) was used to identify naturally occurring radioactive anomalous zones, including potassium (K), equivalent uranium (eU), and equivalent thorium (eTh), to estimate the radiogenic heat production (RHP) in selected areas of the study area. The examination of AGRS data indicated that the studied region has radioelement concentrations ranging from 2.8 to 148 ppm, 18 to 144 ppm, and 0.004 to 9% of (eU), (eTh), and (K), respectively, indicating the existence of various rock types. The Radioelements Composite Image (RCI) successfully highlighted the radioelements enriched zones associated with younger granite, older granite, and metamorphic rocks, particularly those with extensive hydrothermal alteration. The results successfully discriminated alteration zones associated with radioelements K, U, and Th potential parts in the regional shear oblique zone. The weighted overlay GIS model was used to produce the alteration zones potentiality map, and to identify five zones of significant variations in heat production across different geological formations. The northern and southeastern regions demonstrate high alterations and land surface temperature corresponding to areas of high fault density and shear zones. The results of this study reveal that the proposed methods of remote sensing and AGRS data are effective in detecting areas rich in K, eU, and eTh in alteration zones associated with high radiogenic heat production in younger granite, older granite, and metamorphic rocks.