bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exosomal circRHCG promotes breast cancer metastasis via facilitating M2 polarization through TFEB ubiquitination and degradation
Authors: Shen Hong-yu , Xu Jia-lin , Zhang Wei , Chen Qin-nan , Zhu Zhen , Mao Yuan 
Published: January 2024

AbstractTriple-negative breast cancer (TNBC) is a highly aggressive cancer with distant metastasis. Accumulated evidence has demonstrated that exosomes are involved in TNBC metastasis. Elucidating the mechanism underlying TNBC metastasis has important clinical significance. In the present study, exosomes were isolated from clinical specimens and TNBC cell lines. Colony formation, EdU incorporation, wound healing, and transwell assays were performed to examine TNBC cell proliferation, migration, and metastasis. Macrophage polarization was evaluated by flow cytometry and RT-qPCR analysis of polarization markers. A mouse model of subcutaneous tumor was established for assessment of tumor growth and metastasis. RNA pull-down, RIP and Co-IP assays were used for analyzing molecular interactions. Here, we proved that high abundance of circRHCG was observed in exosomes derived from TNBC patients, and increased exosomal circRHCG indicated poor prognosis. Silencing of circRHCG suppressed TNBC cell proliferation, migration, and metastasis. TNBC cell-derived exosomes promoted M2 polarization via delivering circRHCG. Exosomal circRHCG stabilized BTRC mRNA via binding FUS and naturally enhanced BTRC expression, thus promoting the ubiquitination and degradation of TFEB in THP-1 cells. In addition, knockdown of BTRC or overexpression of TFEB counteracted exosomal circRHCG-mediated facilitation of M2 polarization. Furthermore, exosomal circRHCG promoted TNBC cell proliferation and metastasis by facilitating M2 polarization. Knockdown of circRHCG reduced tumor growth, metastasis, and M2 polarization through the BTRC/TFEB axis in vivo. In summary, exosomal circRHCG promotes M2 polarization by stabilizing BTRC and promoting TFEB degradation, thereby accelerating TNBC metastasis and growth. Our study provides promising therapeutic strategies against TNBC.
Implementing Dysphagia Outcome Assessments into Clinical Settings: Leveraging Principles of Implementation, Dissemination, and Psychometrics
Authors: Krisciunas Gintas P. , Scheel Rebecca , Slavin Mary 
Published: January 2024

Purpose:
Myriad dysphagia assessment tools have been designed, but their application is variable. This is partly due to a lack of implementation and dissemination strategy as well as to limited guidance regarding which instruments are optimally designed and best used for clinical and research applications.

Method:
This tutorial provides a high-level overview of implementation and dissemination, their interaction with psychometrics and knowledge coproduction, and how these concepts relate to proper development and widespread application of contextually relevant, psychometrically optimized, evidence-based dysphagia assessment instruments.

Results:
A review of the literature identified two dysphagia assessment instruments that purposefully integrated implementation and dissemination processes after measurement development. Application of knowledge coproduction was not identified in any papers reporting development and testing of dysphagia assessment instruments. A better understanding of coproduction and psychometrics when developing measures, while simultaneously applying implementation science and dissemination strategies, can result in the development of optimal dysphagia assessment tools that are more consistently adopted into clinical practice.

Conclusions:
Clinicians and researchers should promote the development of psychometrically sound measures, and employ principles of implementation science and effective dissemination strategies to advocate for, and promote the use of, well-designed instruments within their appropriate clinical contexts. Support from governing bodies and funding agencies could enhance future efforts to develop, and encourage widespread uptake of, optimally developed dysphagia assessment tools.
Examining the Family-Centeredness of Speech-Language Pathologists Working With Children Who Use Augmentative and Alternative Communication
Authors: Biggs Elizabeth E. , Therrien Michelle C. S. , Abarca Diana , Romano Mollie , Barton-Hulsey Andrea , Collins Sara C. 
Published: January 2024

Purpose:
Family–professional partnerships are important for youth learning to use aided augmentative and alternative communication (AAC). This study examined the family-oriented beliefs and practices of speech-language pathologists (SLPs) working with preschool and school-aged children learning to use aided AAC (aged 3–21 years), specifically during the COVID-19 pandemic.

Method:
Participants were 25 SLPs who participated in an individual semistructured interview. Qualitative analysis was used to identify and describe groups of SLPs based on commonalities and differences in their beliefs and practices working with families. The characteristics of SLPs in each group was also explored descriptively (e.g., race/ethnicity, work setting, caseload).

Results:
SLPs clustered into three groups based on their beliefs and practices: (a) professionally centered, (b) family-allied, and (c) family-focused. SLPs varied across these groups in how they planned services, offered training/coaching, communicated, shared resources, offered emotional support, and adapted to and with different families.

Conclusions:
Findings indicate the need to support greater family-centeredness in AAC services by building on the strengths of SLPs in the field. Promoting strong family–professional partnerships could in turn improve outcomes for students who use AAC.

Supplemental Material:

https://doi.org/10.23641/asha.25044125
Prediction of dissolved gas content in transformer oil based on multi‐information fusion
Authors: Yang Tongliang , Fang Yun , Zhang Chengming , Tang Chao , Hu Dong 
Published: January 2024

AbstractIn order to accurately predict the content and variation trend of dissolved gas in transformer oil and guide the condition maintenance of power transformers, a combined prediction model based on multi‐information fusion is proposed and its effectiveness is analysed. First of all, based on the possibility of pathological and missing historical sample data, a detection and filling method based on variable weight combination samples is established. Second, the authors propose two models. Aiming at the non‐linear and non‐stationary characteristics of gas content, a univariate decomposition prediction mode HBA‐VMD‐TCN which based on the Honey Badger algorithm, variational mode decomposition and time convolutional network (TCN) is established. Then the multivariate Informer prediction model is established for gas content affected by multiple variables. Third, the cross‐entropy theory is used to determine the weight coefficients of the two models, and the multi‐information fusion combined prediction model is formed. Finally, on the basis of the above, a method to determine the time step and the position information of the transition point adaptively in the process of prediction is proposed to further improve the prediction accuracy. The results show that, through a series of simulation experiments of model comparison and transformer anomaly prediction, the accuracy and effectiveness of the combined prediction model are verified.
High step up DC–DC converter with low conduction losses and reduced switching losses
Authors: Akhlaghi Zahra , Karimi Amirhossein , Adib Ehsan 
Published: January 2024

AbstractThis article presents a novel high step up converter based on the active switch inductor (ASL) technique for renewable energy source applications. The coupled inductor technique provides an opportunity to increase the gain. The proposed converter exploited the leakage inductors to provide zero current switching (ZCS) turn‐on for both switches. Therefore, there is no need for an auxiliary circuit, which simplifies the structure. Also, all diodes turn off under ZCS, which eliminates the reverse recovery problem and results in reduced switching losses. The energy of the leakage inductor is recycled, and the voltage spike on the switches is limited. In addition, all semiconductor voltage stresses are clamped below the output voltage. Hence, components with lower on‐resistance can be utilized to reduce conduction loss. Because of the reduction in power loss, the efficiency rises to 97.2% at 250 W output power. It also benefits from the current sharing of the interleaved structure. The operating principles, design considerations, and comparison to other topologies are discussed. To verify the effectiveness of the proposed converter, a prototype converter with 250 W of output power, 50 V of input voltage, 500 V of output voltage, and 100 kHz of switching frequency is implemented.
A proposed method for calculating the voltage and current distributions of grounded and isolated networks subjected to line‐to‐ground faults
Authors: Gouda Ossama. E. , Dein Adel Z. El , Mbasso Wulfran F. , Alharthi Mosleh , Ghoneim Sherif S. M. 
Published: January 2024

AbstractOne crucial objective of this article is to present simplified and accurate approaches to study the current distribution and ground surface potential around the area surrounding an earthed and isolated system in case of a line‐to‐earth fault. The present study is done in the case of uniform and two‐layer soils. Suggested models for calculating the distribution of the earth's surface current density, step, and touch voltages in grounded and isolated systems are presented, discussed, and adapted. The contact and arc resistances of line to ground faulty conductors are considered. Rods and/or grounding grids usually do grounded systems. The impact of both step and touch potentials and current density are investigated in this article. The methods of the calculations are based on the electrical concepts, the charge simulation method, and the imaging procedure for the grounding system. The suggested method can be considered a novel and simple technique for calculating the current distributions of the ground surface during line to ground fault. The results agree with those obtained by others, with the advantage of the proposed algorithm for its ease of application and simplicity. 3‐D dimensions’ contours of the current density and the electric potential on the earth surface around the faulty point are presented in case of homogeneous and two layers’ soil. Finally, this article's novelty is to devise a method for calculating the step and touch potentials and current density around the point of contact of the conductor carrying the electric voltages in the event of faults occurring in the electrical network, whether the network is grounded or isolated. Such faults of electrical networks may cause human hazards.
Efficient simulation of stochastic interactions among representative Monte Carlo particles
Authors: Beutel M. , Dullemond C. P. , Strzodka R. 
Published: January 2024

Context. Interaction processes between discrete particles are often modelled with stochastic methods such as the Representative Particle Monte Carlo (RPMC) method which simulate mutual interactions (e.g. chemical reactions, collisions, gravitational stirring) only for a representative subset of n particles instead of all N particles in the system. However, in the traditionally employed computational scheme the memory requirements and the simulation runtime scale quadratically with the number of representative particles.
Aims. We want to develop a computational scheme that has significantly lower memory requirements and computational costs than the traditional scheme, so that highly resolved simulations with stochastic processes such as the RPMC method become feasible.
Results. In this paper we propose the bucketing scheme, a hybrid sampling scheme that groups similar particles together and combines rejection sampling with a coarsened variant of the traditional discrete inverse transform sampling. For a v-partite bucket grouping, the storage requirements scale with n and v2, and the computational cost per fixed time increment scales with n ⋅ v, both thus being much less sensitive to the number of representative particles n. Extensive performance testing demonstrates the higher efficiency and the favourable scaling characteristics of the bucketing scheme compared to the traditional approach, while being statistically equivalent and not introducing any new requirements or approximations. With this improvement, the RPMC method can be efficiently applied not only with very high resolution but also in scenarios where the number of representative particles increases over time, and the simulation of high-frequency interactions (such as gravitational stirring) as a Monte Carlo process becomes viable.
Bayesian deep learning for cosmic volumes with modified gravity
Authors: García-Farieta Jorge Enrique , Hortúa Héctor J. , Kitaura Francisco-Shu 
Published: January 2024

Context. The new generation of galaxy surveys will provide unprecedented data that will allow us to test gravity deviations at cosmological scales at a much higher precision than could be achieved previously. A robust cosmological analysis of the large-scale structure demands exploiting the nonlinear information encoded in the cosmic web. Machine-learning techniques provide these tools, but no a priori assessment of the uncertainties.
Aims. We extract cosmological parameters from modified gravity (MG) simulations through deep neural networks that include uncertainty estimations.
Methods. We implemented Bayesian neural networks (BNNs) with an enriched approximate posterior distribution considering two cases: the first case with a single Bayesian last layer (BLL), and the other case with Bayesian layers at all levels (FullB). We trained both BNNs with real-space density fields and power spectra from a suite of 2000 dark matter-only particle-mesh N-body simulations including MG models relying on MG-PICOLA, covering 256 h−1 Mpc side cubical volumes with 1283 particles.
Results. BNNs excel in accurately predicting parameters for Ωm and σ8 and their respective correlation with the MG parameter. Furthermore, we find that BNNs yield well-calibrated uncertainty estimates that overcome the over- and under-estimation issues in traditional neural networks. The MG parameter leads to a significant degeneracy, and σ8 might be one possible explanation of the poor MG predictions. Ignoring MG, we obtain a deviation of the relative errors in Ωm and σ8 by 30% at least. Moreover, we report consistent results from the density field and power spectrum analysis and comparable results between BLL and FullB experiments. This halved the computing time. This work contributes to preparing the path for extracting cosmological parameters from complete small cosmic volumes towards the highly nonlinear regime.
Probing the statistical isotropy of the universe with Planck data of the cosmic microwave background
Authors: Kester C. E. , Bernui A. , Hipólito-Ricaldi W. S. 
Published: January 2024

Aims. We study the angular distribution of temperature fluctuations in the cosmic microwave background (CMB) to probe the statistical isotropy of the universe by using precise full-sky CMB data with a model-independent approach.
Methods. We investigated the temperature-temperature angular correlations in the four Planck foreground-cleaned CMB maps that were released recently. We performed a directional analysis on the CMB sphere to search directions in which the temperature-temperature angular correlations are extreme.
Results. Our analyses confirm a preferred axis in the CMB sphere, pointing in the direction (l, b)≃(260° ,130° ), at the 98%−99% confidence level. In this direction, the CMB angular correlations exceed the antipodal direction most strongly. This preferred direction is unexpected in the ΛCDM cosmological model and represents a significant deviation from results obtained by applying the same procedure to simulated statistically isotropic CMB maps. This result confirms the north-south asymmetry in the most recent Planck data. This phenomenon is one of the previously reported CMB anomalies.
Conclusions. We performed a robust detection of the north-south asymmetry in the temperature-temperature angular correlations, with a slightly different statistical significance, in the four Planck foreground-cleaned CMB maps. Moreover, we performed consistency tests by adding foreground and noise, both Planck data products, to the CMB map we studied, and we also investigated and discarded possible bias in our method. After these detailed analyses, we conclude that the north-south asymmetry phenomenon is present with a high statistical significance in the Planck CMB maps we studied. This result confirms previous reports in the literature in the past 20 years.
Thermal and kinetic coronal rain diagnostics with Mg II h & k lines
Authors: Kriginsky M. , Oliver R. 
Published: January 2024

Aims. The aim of this work is to assess the temperature and velocity diagnostics of coronal rain clumps, as observed in the lines formed in the upper chromosphere.
Methods. We performed the temperature diagnostics using inversions of data from nine spectroscopic observations obtained with the IRIS spectrograph in the Mg II h & k lines. The sensitivity to the temperature of the emission peaks of these lines was exploited to determine the temperature of the coronal rain plasma using inversions of the spectroscopic profiles. Additional relationships between different spectral features of these lines, derived from the use of 3D radiative transfer line synthesis applied to simulations, were employed in order to derive the line-of-sight (LoS) velocities in different parts of the coronal rain plasma.
Results. For the first time, spectroscopic inversions of coronal rain were successfully performed. Temperatures derived from the inversions yield coronal rain clump temperatures at the formation height of the emission peaks of the Mg II h & k lines in the range between 5000 and 7000 K. This narrow range of values remains consistent among all the different observations used in this work. We obtained LoS velocities of up to 40 km s−1, which are consistent with the motion of the plasma being mostly constrained to the plane of the sky, as the coronal rain was mostly detected shortly after its formation and the observations took place in the disc. Furthermore, velocity diagnostics led to the detection of larger velocities at higher layers of the coronal rain plasma in some cases. This increased velocity seems to indicate that at some point (at least) during the fall of coronal rain clumps towards the chromosphere, the material in the upper part of the coronal rain plasma is falling with greater velocity than the material below it. The conditions of the temperature and density of the coronal rain plasma where the Mg II h line forms appear to be slightly different that those of the Mg II k line, with the former found at slightly colder and denser parts of the plasma.
Ausbildung fertig, was nun?
Authors: Heeser Alexandra 
Published: January 2024

ZusammenfassungDie ersten Generalisten haben im Frühjahr 2023 ihren Abschluss gemacht. Die neuen Pflegefachfrauen und -männer haben jedoch anders gelernt. Da sich das Berufsbild der Pflege und damit der Fokus der Ausbildung verändert hat, bedarf es auch einer neuen Form des Berufseinstiegs – auch und gerade für den Bereich der Pädiatrie.
Gut angeleitet in die Pädiatrie
Authors: Korzen Nicole 
Published: January 2024

ZusammenfassungDas Uniklinikum Münster hat sich auf den Weg gemacht und ein Einarbeitungsprogramm für Generalisten aufgelegt, das zeitnah starten soll. CNE sprach hierzu mit Nicole Korzen, Pflegedienstleitung der Kinder- und Jugendmedizin, die das Programm mitentwickelt hat.
Crash modules to help Persians speak more intelligible and comprehensible English, emphasizing either production or
perception of either sounds or melodies
Authors: van Heuven Vincent J. , Yenkimaleki Mahmood 
Published: January 2024

Abstract

Yenkimaleki and van Heuven (2021) studied the effects of teaching
either segmental or suprasegmental (prosodic) aspects of English, in combination with either perception or production-focused
practice (four combinations in all) on the speech intelligibility and comprehensibility of Persian L1 learners of English as a
foreign language. Generally, production-focused exercises were more effective but there was no overall effect of teaching
segmentals versus prosody. However, the specific combination of emphasis on prosody and production-oriented exercises was most
beneficial. We summarize the results of the study and present, more systematically and in more detail than in the original
article, the materials and teaching methods used.
Student understanding of the Bloch sphere
Authors: Hu Peter , Li Yangqiuting , Mong Roger S K , Singh Chandralekha 
Published: January 2024

Abstract
Quantum information science is a rapidly growing interdisciplinary field that is attracting the attention of academics and industry experts alike. It requires talent from a wide variety of traditional fields, including physics, engineering, chemistry, and computer science, to name a few. To prepare students for such opportunities, it is important to give them a strong foundation in the basics of quantum information science, in which quantum computing plays a central role. In this study, we discuss the development, validation, and evaluation of a tutorial on the Bloch sphere, a useful visual tool for developing intuition about single quantum bits (qubits), which are the basic building block of any quantum computer. Students’ understanding was evaluated after they received traditional lecture-based instruction on the requisite topics, and again after engaging with the tutorial. We observe, analyze, and discuss their improvement in performance on concepts covered in the tutorial.
Systematic design of a robust half-W1 photonic crystal waveguide for interfacing slow light and trapped cold atoms
Authors: Bouscal Adrien , Kemiche Malik , Mahapatra Sukanya , Fayard Nikos , Berroir Jérémy , Ray Tridib , Greffet Jean-Jacques , Raineri Fabrice , Levenson Ariel , Bencheikh Kamel , Sauvan Christophe , Urvoy Alban , Laurat Julien 
Published: January 2024

Abstract
Novel platforms interfacing trapped cold atoms and guided light in nanoscale waveguides are a promising route to achieve a regime of strong coupling between light and atoms in single pass, with applications to quantum non-linear optics and quantum simulation. A strong challenge for the experimental development of this emerging waveguide-QED field of research is to combine facilitated optical access for atom transport, atom trapping via guided modes and robustness to inherent nanofabrication imperfections. In this endeavor, here we propose to interface Rubidium atoms with a photonic-crystal waveguide based on a large-index GaInP slab. With a specifically tailored half-W1 design, we show that a large chiral coupling to the waveguide can be obtained and guided modes can be used to form two-color dipole traps for atoms down to 115 nm from the edge of the structure. This optimized device should greatly improve the level of experimental control and facilitate the atom integration.