bluuebunny/crossref_metadata_2025_split huggingface dataset:
From Bacteria to Host: Deciphering the Impact of Sphingolipid Metabolism on Food Allergic Reactions
Authors: Zubeldia-Varela Elisa , Macías-Camero Andrea , Pérez-Gordo Marina 
Published: December 2023

Abstract
Purpose of Review
Allergic diseases have become a burden in industrialized societies. Among children, food allergy (FA) constitutes a major impairment of quality of life. FA is partly due to a lack or loss of tolerance to food antigens at the level of the intestinal mucosa, where the microbiota plays a crucial role. Early changes in the composition of the gut microbiota may influence the development of the immune system and can be related to the risk of allergic diseases, including FA. This review will focus on the role of sphingolipids and the major bacteria involved in their metabolism, in the development of food antigen sensitization and FA.

Recent Findings
Numerous studies have identified different patterns of microbial composition between individuals with and without FA, pointing to an interaction between gut microbiota, enterocytes, and immune cells. When this interaction is lost and an imbalance in the composition of the intestinal microbiota occurs, the integrity of the epithelial barrier may be altered, leading to intestinal permeability and sensitization to food antigens and the development of FA. Gram-negative bacteria, especially those of the Proteobacteria phylum, have been associated with the development of FA. Investigating the interactions between the intestinal microbiota and the immune system, their influence on intestinal barrier function, and their production of metabolites and signaling molecules may contribute to understanding the pathogenesis of FA.

Summary
Sphingolipids, a class of bioactive amphipathic lipids found in cell membranes, have emerged as critical regulators of inflammation. In this review, we will attempt to summarize the existing knowledge on the role of these molecules and the major bacteria involved in their metabolism in the mechanisms underlying sensitization to food antigens and the development of FA.
Resolving Barriers to Continence for Children with Disabilities: Steps Toward Evidence-Based Practice
Authors: Donnelly Maeve G. , Karsten Amanda M. 
Published: December 2023

AbstractBehavior-analytic toilet training (BATT) methods to support urine continence have been reviewed and replicated in numerous studies. Despite empirical validations of BATT, children with disabilities may not experience successful toilet training nor access the associated health and social benefits of urinary continence. It is possible these outcomes are partially due to practical barriers that arise throughout urine training. In practice, barriers may interfere with toilet training to the extent that training is postponed or discontinued, resulting in long-term incontinence and other related problems. Examples of barriers include problem behavior, excessive urine retention, recurrent accidents, and excessive or insufficient independent self-initiations to toilet. Researchers have sometimes described strategies to address these types of barriers. However, practitioners may not be aware of these strategies because they are secondary to the purpose of an investigation and may only apply to a subset of participants. The purpose of this review article is to synthesize the collection of barrier solutions described in published research on urine training for children with developmental disabilities. Results may assist practitioners in modifying BATT according to an evidence-based practice framework until their clients overcome barriers to achieve urine continence.
Super-efficient Reduction of 4-nitrophenol Using Raw Pelagic Clays as Catalysts
Authors: Zhang Peiping , Liu Tongtong , Sun Xue , Liang Qing , Zhang Wei , Ning Weikun , Li Wenqing , Shi Xuefa , Miao Shiding 
Published: December 2023

AbstractNatural clays are often employed as substrates for heterogeneous catalysts. However, the direct use of raw clays as catalysts has received less research attention. The objective of the present study was to help fill this gap by investigating catalytic properties of raw pelagic clays (PC) collected from the Indian Ocean. The raw PC were discovered to be efficient catalysts in the reduction of 4-nitrophenol (4-NP) in the presence of NaBH4. The effects of parameters including pH values, dosages of PC, and initial concentration of 4-NP and NaBH4 on the conversion or degradation rate of 4-NP have been investigated. The 4-NP was observed to be completely degraded within 480 s under conditions of 0.10 mM 4-NP, 25.0 mM NaBH4, and 0.20 g/L PC at an initial pH value of 7.0. The apparent rate constant was evaluated to be 27.53 × 10–3 s–1. Unlike previous pseudo-first order kinetics experiments, the induction period and degradation stages were observed to occur simultaneously during the PC catalysis. The S-shaped kinetics for 4-NP conversion was found to be perfectly matched by Fermi's function, and the enzyme-like catalysis by PC was appointed to describe the kinetics. Species of Fe(III), Mn(IV), and Mn(III) in PC were found to be essential, and were partly reduced to Fe(0) and Mn(II) by NaBH4 in our reaction, contributing to rapid conversion of 4-NP to 4-aminophenol (4-AP). The raw PC was converted to magnetic PC (m-PC) particles, which made PC particles separate easily for cycling use. This discovery would also have applications in continuous flow-fluid catalysis.
Assessing the Impact of Stratospheric Aerosol Injection on US Convective Weather Environments
Authors: Glade Ivy , Hurrell James W. , Sun Lantao , Rasmussen Kristen L. 
Published: December 2023

AbstractContinued climate warming, together with the overall evaluation and implementation of a range of climate mitigation and adaptation approaches, has prompted increasing research into proposed solar climate intervention methods, such as stratospheric aerosol injection (SAI). SAI would use aerosols to reflect a small amount of incoming solar radiation away from Earth to stabilize or reduce future warming due to increasing greenhouse gas concentrations. Research into the possible risks and benefits of SAI relative to the risks from climate change is emerging. There is not yet, however, an adequate understanding of how SAI might impact human and natural systems. For instance, little to no research to date has examined how SAI might impact environmental conditions critical to the formation of severe convective weather over the United States (US). This study uses ensembles of Earth system model simulations of future climate change, with and without hypothetical SAI deployment, to examine possible future changes in thermodynamic and kinematic parameters critical to the formation of severe weather during convectively active seasons over the US Results show that simulated forced changes in thermodynamic parameters are significantly reduced under SAI relative to a climate change (SSP2‐4.5) world, while simulated changes in kinematic parameters are more difficult to distinguish. Also, unforced internal climate variability is likely to significantly modulate the projected forced climate changes over large regions of the US.
The Capability of Deep Learning Model to Predict Ozone Across Continents in China, the United States and Europe
Authors: Han Weichao , He Tai‐Long , Jiang Zhe , Zhu Rui , Jones Dylan , Miyazaki Kazuyuki , Shen Yanan 
Published: December 2023

AbstractData‐driven methods have been extensively applied to predict atmospheric compositions. Here, we explore the capability of a deep learning (DL) model to make ozone (O3) predictions across continents in China, the United States (US) and Europe. The DL model was trained and validated with surface O3 observations in China and the US in 2015–2018. The DL model was applied to predict hourly surface O3 over three continents in 2015–2022. Compared to baseline simulations using GEOS‐Chem (GC) model, our analysis exhibits mean biases of 2.6 and 4.8 μg/m3 with correlation coefficients of 0.94 and 0.93 (DL); and mean biases of 3.7 and 5.4 μg/m3 with correlation coefficients of 0.95 and 0.92 (GC) in Europe in 2015–2018 and 2019–2022, respectively. The comparable performances between DL and GC indicate the potential of DL to make reliable predictions over spatial and temporal domains where a wealth of local observations for training is not available.
Tropical Cyclone Modeling With the Inclusion of Wave‐Coupled Processes: Sea Spray and Wave Turbulence
Authors: Xu Xingkun , Voermans Joey J. , Zhang Wenqing , Zhao Biao , Qiao Fangli , Liu Qingxiang , Moon Il‐Ju , Janekovic Ivica , Waseda Takuji , Babanin Alexander V. 
Published: December 2023

AbstractWaves critically modulate the air‐sea fluxes, and upper‐ocean thermodynamics in a Tropical Cyclone (TC) system. This study improves the modeling of TC intensification by incorporating non‐breaking wave‐induced turbulence and sea spray from breaking waves into an atmosphere‐ocean‐wave coupled model. Notably, wind forecast error decreased by around 10% prior to TCs' peak intensity. The positive feedback of sea spray along with compensatory negative feedback from non‐breaking waves, overall enhanced TCs' intensity. These breaking and non‐breaking wave‐coupled processes consistently cool sea surface temperature, resulting in improvement of the modeled SST. Observed improvements in full‐year TC cases ranging from Categories I to IV in this study suggest that an accurate characterization of ocean wave‐coupled processes is crucial for improving TCs' intensity forecasts and advancing our understanding of severe weather events in both, the atmosphere and ocean.
Stream Interaction Regions in the Minimum of Solar Cycles 23 and 24
Authors: Sanchez‐Garcia E. , Gonzalez‐Esparza J. A. , Aguilar‐Rodriguez E. , Corona‐Romero P. 
Published: December 2023

AbstractStream interaction regions (SIRs) dominate the large‐scale solar wind dynamics during the minimum of the solar cycle. The interaction of SIRs with the magnetosphere causes most of geomagnetic storms during this epoch. We used in‐situ solar wind observations at 1 AU to study 62 SIRs detected in the interval 2007–2008 (minimum of cycle 23) and 61 SIRs in the interval 2018–2019 (minimum of cycle 24). We compared distinct characteristics of SIRs, such as the solar wind streams velocities, the presence of forward and/or reverse shocks (RS), SIR radial widths, the relative position of the stream interface within the SIRs, SIR latitudinal orientation, and the geoeffectiveness. There were more geomagnetic storms driven by SIRs in cycle 23 than in cycle 24. The pattern of fast solar wind streams in cycle 23 tended to be faster than in cycle 24. We found more SIRs with RS in cycle 23 than in cycle 24. For the geoeffective SIRs, the momentum flows from the fast solar wind to the slow solar wind, as well as their stream interface is closer to the SIR front. Coronal holes associated with SIRs registered in cycle 23 tended to be wider in longitude near the solar equator and/or at midlatitudes. We did not find a clear relation between the geoeffectiveness of the SIRs and their latitudinal inclinations.
Two‐Component Phase Scintillation Spectra in the Auroral Region: Observations and Model
Authors: Hamza A. M. , Song K. , Meziane K. , Jayachandran P. T. 
Published: December 2023

AbstractThe random amplitude and phase fluctuations observed in trans‐ionospheric radio signals are caused by the presence of electron density irregularities in the ionosphere. Ground‐based measurements of radio wave signals provide information about the medium through which these signals propagate. The Canadian High Arctic Ionospheric Network (CHAIN) Global Position System (GPS) receivers record radio signals emitted by the GPS satellites, enabling the study of their spectral characteristics. This study presents examples of phase spectra with two power‐law components. These components exhibit steeper spectral slopes at higher frequencies and shallower ones at lower frequencies. To be more specific, we conducted a spectral characterization of sixty one (61) events recorded by the CHAIN Churchill GPS receiver, which is located in the auroral oval. When fluctuations above the background level are only observed in the phase, the spectra tend to be systematically steeper. Conversely, the power increase in higher frequency fluctuations accompanying amplitude scintillation tends to result in shallower spectra. A basic yet powerful model of radio wave propagation through a turbulent ionosphere, characterized by a power law electron density spectrum, can help to explain the two power laws observed in the scintillation events presented in this study by identifying the role played by small‐scale ionospheric irregularities in diffraction.
Persistent Influence of Non‐Dipole Geomagnetic Field on East Asia Over the Past 4,000 Years
Authors: Li Hai , Tang Jianhui , Gai Congcong , Zhang Weijie , Humbert Fabien , Ni Youzhong , Chou Yu‐Min , Liu Qingsong 
Published: December 2023

AbstractThe observed variations in intense geomagnetic flux lobes have a significant impact on regional geomagnetic fields, and produce unique geomagnetic characteristics. To investigate the time‐dependent effect of the Siberian flux lobe on the geomagnetic field in East Asia, we reconstructed a stacked full‐vector paleomagnetic secular variation record (since 2000 BCE) from three sediment cores collected in the Bohai Sea, China. Age models of the studied cores were established through a combination of radiocarbon 14C dating and inter‐profile correlation of mass‐normalized magnetic susceptibility. Rock magnetic results indicate that fine‐grained magnetite is the primary remanent carrier. We found that the paleomagnetic field records in the Bohai Sea correspond more closely with those from the middle latitudes, rather than the low latitudes. This was primarily attributed to the variation of the Siberian flux lobe. This study provides a better understanding of the contrasting patterns of regional geomagnetic fields in East Asia, and emphasizes the significant role played by the Siberian flux intensity lobe in shaping their formation.
Experimental Study of the Generation of Pore Gas Pressure in Pyroclastic Density Currents Resulting From Eruptive Fountain Collapse
Authors: Penlou Baptiste , Roche Olivier , van den Wildenberg Siet 
Published: December 2023

AbstractPyroclastic density currents formed through collapse of eruptive fountains commonly have runout distances of the order of tens of kilometers. A possible cause of this high flow mobility is elevated interstitial pore gas pressure, which may have various origins. We investigated experimentally the generation of pore pressure at the impact zone of an eruptive fountain, where concentrated pyroclastic density currents emerge from compaction of a free falling gas‐particle mixture. We simulated pyroclastic fountain collapse by releasing glass beads of mean sizes of 29–269 µm from a hopper at height of 3.27 m above a 5 m‐long horizontal channel, and we measured pore air pressure in the impact zone. During free fall, the granular mixtures accelerated and expanded to reach particle concentrations of 1.6–4.4 vol.% before they impacted the base of the channel. Upon impact, the particles accumulated to form concentrated granular flows with particle concentrations of 45–48 vol.% and pore air pressures that indicated almost full weight support for particle sizes ≤76 µm. Both the amount of pore pressure in the impact zone and the flow runout distance increased as we decreased the particle size and hence the hydraulic permeability of the concentrated granular mixtures. Our results suggest that pore gas pressure in concentrated pyroclastic density currents can be generated at the impact zone of collapsing fountains and that small particle size conferring low permeability and long pore pressure diffusion timescale is one of the main causes of long flow runout distances.
RAM‐SCB Runs on Request at CCMC
Authors: Morley Steven K. , Jordanova Vania K. , Zheng Yihua , Petrenko Maksym 
Published: December 2023

AbstractThe Ring current–Atmosphere interactions Model (RAM) with Self‐Consistent magnetic (B) field (SCB) combines a large‐scale kinetic model of ring current plasma with a three‐dimensional (3‐D) force‐balanced model of the terrestrial magnetic field. RAM‐SCB simulates the evolution of major ion species (H+, O+, and He+ by default) and electrons as a function of azimuth, radial distance, energy, and pitch angle. Simulation outputs include the Dst index, and pressure and differential flux of the modeled species, thus providing benefit as a science code and to inform surface charging hazard within the model domain. Version 2.2 of this open‐source simulation code has now—as of 8 August 2023—been made available for Runs‐On‐Request via the Community Coordinated Modeling Center.
SMYD3: a new regulator of adipocyte precursor proliferation at the early steps of differentiation
Authors: Sajic Tatjana , Ferreira Gomes Chayenne Karine , Gasser Marie , Caputo Tiziana , Bararpour Nasim , Landaluce-Iturriria Esther , Augsburger Marc , Walter Nadia , Hainard Alexandre , Lopez-Mejia Isabel C. , Fracasso Tony , Thomas Aurélien , Gilardi Federica 
Published: December 2023

Abstract
Background
In obesity, adipose tissue undergoes a remodeling process characterized by increased adipocyte size (hypertrophia) and number (hyperplasia). The ability to tip the balance toward the hyperplastic growth, with recruitment of new fat cells through adipogenesis, seems to be critical for a healthy adipose tissue expansion, as opposed to a hypertrophic growth that is accompanied by the development of inflammation and metabolic dysfunction. However, the molecular mechanisms underlying the fine-tuned regulation of adipose tissue expansion are far from being understood.

Methods
We analyzed by mass spectrometry-based proteomics visceral white adipose tissue (vWAT) samples collected from C57BL6 mice fed with a HFD for 8 weeks. A subset of these mice, called low inflammation (Low-INFL), showed reduced adipose tissue inflammation, as opposed to those developing the expected inflammatory response (Hi-INFL). We identified the discriminants between Low-INFL and Hi-INFL vWAT samples and explored their function in Adipose-Derived human Mesenchymal Stem Cells (AD-hMSCs) differentiated to adipocytes.

Results
vWAT proteomics allowed us to quantify 6051 proteins. Among the candidates that most differentiate Low-INFL from Hi-INFL vWAT, we found proteins involved in adipocyte function, including adiponectin and hormone sensitive lipase, suggesting that adipocyte differentiation is enhanced in Low-INFL, as compared to Hi-INFL. The chromatin modifier SET and MYND Domain Containing 3 (SMYD3), whose function in adipose tissue was so far unknown, was another top-scored hit. SMYD3 expression was significantly higher in Low-INFL vWAT, as confirmed by western blot analysis. Using AD-hMSCs in culture, we found that SMYD3 mRNA and protein levels decrease rapidly during the adipocyte differentiation. Moreover, SMYD3 knock-down before adipocyte differentiation resulted in reduced H3K4me3 and decreased cell proliferation, thus limiting the number of cells available for adipogenesis.

Conclusions
Our study describes an important role of SMYD3 as a newly discovered regulator of adipocyte precursor proliferation during the early steps of adipogenesis.
Maximizing Student Outcomes in Schools: Data-Driven Individualized Education Program Goals and Objectives Aligned to the Standards
Authors: Powell Rachel , Schultz Jennifer , Harvey Rebecca , Meaux Ashley 
Published: December 2023

Purpose:
Federal and state laws require schools to be accountable for student performance on measures of academic achievement in literacy, mathematics, and science skills; monitor high school graduation rates; and track student growth and academic progression throughout the grade levels. Success on these measures gives students pathways to postsecondary options in the workforce, technical education, or college/university education. Speech-language pathologists (SLPs) can utilize existing data sources in the school in conjunction with their knowledge of diagnostics and treatment of cognition, language, and culture to maximize student outcomes beyond the therapy room and in the curriculum standards.

Method:
This clinical focus article will review methods of data collection from existing sources in the students' grade level and academic content curriculum. Utilization of information and input from parents, teachers, paraprofessionals, and others who support the student's academic endeavors will be discussed for Individualized Education Program Present Levels of Academic Achievement and Functional Performance and goal development. Procedures for the SLP to collect independent data aligned to standards-based curriculum will be explored. Consideration will be given for utilizing data to develop future goals and objectives. The benefits of data collection for monitoring student progress and success in the grade-level or alternate standards will be highlighted through case examples. Techniques for classroom-based services, model lessons, coaching, and co-teaching will be presented.

Conclusions:
SLPs are recognized as specialized instructional support personnel who have unique knowledge and expertise for diagnosing and treating speech/language impairments (S/LI) disabilities. By understanding how they can use existing data and apply it to developing intervention plans, SLPs can ensure students with S/LI disabilities experience the maximum potential for outcomes in academic and functional success. Data-driven tools and methods aligned to the grade-level standards and curriculum are one of the most powerful tools in an SLP's toolbox.

Supplemental Material:

https://doi.org/10.23641/asha.24869592
Research on weighted energy consumption and delay optimization algorithm based on dual‐queue model
Authors: Tan Ling , Sun Lei , Cao Boyuan , Xia Jingming , Xu Hai 
Published: December 2023

AbstractThis article investigates a mobile edge computing (MEC) network assisted by multiple unmanned aerial vehicles (UAVs) to address the computational and offloading requirements for mobile intelligent terminals (MITs) within crowded venues. The objective is to tackle intricate task processing and diminish MITs' waiting times. Considering the randomness of task arrival at the MITs and the imbalance between the amount of data and computation for complex tasks, a dual‐queue model with data cache queue and computation queue is proposed, with minimizing the weighted system total energy consumption and average delay as the optimization objectives. Lyapunov optimization theory is employed to convert the stochastic optimization problem into a deterministic one, and the initial deployment quantity and hovering position of the UAVs are determined by the density‐based spatial clustering of applications with noise (DBSCAN) method with noise. Then PPO algorithm for MIT task, resource allocation, and UAV trajectory optimization. Numerical results display the proposed scheme can efficaciously diminish energy consumption and delay by 10% and 33% respectively, compared with the baseline scheme. This paper proposes a practical and feasible solution for stochastic computing offloading in UAV‐assisted MEC, which fills the gap in existing research on regarding the consideration of complex task imbalances.