bluuebunny/crossref_metadata_2025_split huggingface dataset:
Distinct transcriptomes and autocrine cytokines underpin maturation and survival of antibody-secreting cells in systemic lupus erythematosus
Authors: Chen Weirong , Hong So-Hee , Jenks Scott A. , Anam Fabliha A. , Tipton Christopher M. , Woodruff Matthew C. , Hom Jennifer R. , Cashman Kevin S. , Faliti Caterina Elisa , Wang Xiaoqian , Kyu Shuya , Wei Chungwen , Scharer Christopher D. , Mi Tian , Hicks Sakeenah , Hartson Louise , Nguyen Doan C. , Khosroshahi Arezou , Lee Saeyun , Wang Youliang , Bugrovsky Regina , Ishii Yusho , Lee F. Eun-Hyung , Sanz Ignacio 
Published: March 2024

AbstractSystemic lupus erythematosus (SLE) is an autoimmune disease characterized by multiple autoantibody types, some of which are produced by long-lived plasma cells (LLPC). Active SLE generates increased circulating antibody-secreting cells (ASC). Here, we examine the phenotypic, molecular, structural, and functional features of ASC in SLE. Relative to post-vaccination ASC in healthy controls, circulating blood ASC from patients with active SLE are enriched with newly generated mature CD19−CD138+ ASC, similar to bone marrow LLPC. ASC from patients with SLE displayed morphological features of premature maturation and a transcriptome epigenetically initiated in SLE B cells. ASC from patients with SLE exhibited elevated protein levels of CXCR4, CXCR3 and CD138, along with molecular programs that promote survival. Furthermore, they demonstrate autocrine production of APRIL and IL-10, which contributed to their prolonged in vitro survival. Our work provides insight into the mechanisms of generation, expansion, maturation and survival of SLE ASC.
Distinct neurochemical influences on fMRI response polarity in the striatum
Authors: Cerri Domenic H. , Albaugh Daniel L. , Walton Lindsay R. , Katz Brittany , Wang Tzu-Wen , Chao Tzu-Hao Harry , Zhang Weiting , Nonneman Randal J. , Jiang Jing , Lee Sung-Ho , Etkin Amit , Hall Catherine N. , Stuber Garret D. , Shih Yen-Yu Ian 
Published: March 2024

AbstractThe striatum, known as the input nucleus of the basal ganglia, is extensively studied for its diverse behavioral roles. However, the relationship between its neuronal and vascular activity, vital for interpreting functional magnetic resonance imaging (fMRI) signals, has not received comprehensive examination within the striatum. Here, we demonstrate that optogenetic stimulation of dorsal striatal neurons or their afferents from various cortical and subcortical regions induces negative striatal fMRI responses in rats, manifesting as vasoconstriction. These responses occur even with heightened striatal neuronal activity, confirmed by electrophysiology and fiber-photometry. In parallel, midbrain dopaminergic neuron optogenetic modulation, coupled with electrochemical measurements, establishes a link between striatal vasodilation and dopamine release. Intriguingly, in vivo intra-striatal pharmacological manipulations during optogenetic stimulation highlight a critical role of opioidergic signaling in generating striatal vasoconstriction. This observation is substantiated by detecting striatal vasoconstriction in brain slices after synthetic opioid application. In humans, manipulations aimed at increasing striatal neuronal activity likewise elicit negative striatal fMRI responses. Our results emphasize the necessity of considering vasoactive neurotransmission alongside neuronal activity when interpreting fMRI signal.
Spatiotemporal control of photochromic upconversion through interfacial energy transfer
Authors: Yan Long , Huang Jinshu , An Zhengce , Zhang Qinyuan , Zhou Bo 
Published: March 2024

AbstractDynamic control of multi-photon upconversion with rich and tunable emission colors is stimulating extensive interest in both fundamental research and frontier applications of lanthanide based materials. However, manipulating photochromic upconversion towards color-switchable emissions of a single lanthanide emitter is still challenging. Here, we report a conceptual model to realize the spatiotemporal control of upconversion dynamics and photochromic evolution of Er3+ through interfacial energy transfer (IET) in a core-shell nanostructure. The design of Yb sublattice sensitization interlayer, instead of regular Yb3+ doping, is able to raise the absorption capability of excitation energy and enhance the upconversion. We find that a nanoscale spatial manipulation of interfacial interactions between Er and Yb sublattices can further contribute to upconversion. Moreover, the red/green color-switchable upconversion of Er3+ is achieved through using the temporal modulation ways of non-steady-state excitation and time-gating technique. Our results allow for versatile designs and dynamic management of emission colors from luminescent materials and provide more chances for their frontier photonic applications such as optical anti-counterfeiting and speed monitoring.
Plasma GFAP as a prognostic biomarker of motor subtype in early Parkinson’s disease
Authors: Che Ningning , Ou Ruwei , Li Chunyu , Zhang Lingyu , Wei Qianqian , Wang Shichan , Jiang Qirui , Yang Tianmi , Xiao Yi , Lin Junyu , Zhao Bi , Chen Xueping , Shang Huifang 
Published: March 2024

AbstractParkinson’s disease (PD) is a heterogeneous movement disorder with different motor subtypes including tremor dominant (TD), indeterminate and postural instability, and gait disturbance (PIGD) motor subtypes. Plasma glial fibrillary acidic protein (GFAP) was elevated in PD patients and may be regarded as a biomarker for motor and cognitive progression. Here we explore if there was an association between plasma GFAP and different motor subtypes and whether baseline plasma GFAP level can predict motor subtype conversion. Patients with PD classified as TD, PIGD or indeterminate subtypes underwent neurological evaluation at baseline and 2 years follow-up. Plasma GFAP in PD patients and controls were measured using an ultrasensitive single molecule array. The study enrolled 184 PD patients and 95 control subjects. Plasma GFAP levels were significantly higher in the PIGD group compared to the TD group at 2-year follow-up. Finally, 45% of TD patients at baseline had a subtype shift and 85% of PIGD patients at baseline remained as PIGD subtypes at 2 years follow-up. Baseline plasma GFAP levels were significantly higher in TD patients converted to PIGD than non-converters in the baseline TD group. Higher baseline plasma GFAP levels were significantly associated with the TD motor subtype conversion (OR = 1.283, P = 0.033) and lower baseline plasma GFAP levels in PIGD patients were likely to shift to TD and indeterminate subtype (OR = 0.551, P = 0.021) after adjusting for confounders. Plasma GFAP may serve as a clinical utility biomarker in differentiating motor subtypes and predicting baseline motor subtypes conversion in PD patients.
Gene-environment interaction analysis of school quality and educational inequality
Authors: Stienstra Kim , Knigge Antonie , Maas Ineke 
Published: March 2024

AbstractWe study to what extent schools increase or decrease environmental and genetic influences on educational performance. Building on behavioral genetics literature on gene-environment interactions and sociological literature on the compensating and amplifying effects of schools on inequality, we investigate whether the role of genes and the shared environment is larger or smaller in higher-quality school environments. We apply twin models to Dutch administrative data on the educational performance of 18,384 same-sex and 11,050 opposite-sex twin pairs, enriched with data on the quality of primary schools. Our results show that school quality does not moderate genetic and shared-environmental influences on educational performance once the moderation by SES is considered. We find a gene-environment interplay for school SES: genetic variance decreases with increasing school SES. This school SES effect partly reflects parental SES influences. Yet, parental SES does not account for all the school SES moderation, suggesting that school-based processes play a role too.
Climate threats to coastal infrastructure and sustainable development outcomes
Authors: Adshead Daniel , Paszkowski Amelie , Gall Sarah S. , Peard Alison M. , Adnan Mohammed Sarfaraz Gani , Verschuur Jasper , Hall Jim W. 
Published: March 2024

AbstractClimate hazards pose increasing threats to development outcomes across the world’s coastal regions by impacting infrastructure service delivery. Using a high-resolution dataset of 8.2 million households in Bangladesh’s coastal zone, we assess the extent to which infrastructure service disruptions induced by flood, cyclone and erosion hazards can thwart progress towards the Sustainable Development Goals (SDGs). Results show that climate hazards potentially threaten infrastructure service access to all households, with the poorest being disproportionately threatened in 69% of coastal subdistricts. Targeting adaptation to these climatic threats in one-third (33%) of the most vulnerable areas could help to safeguard 50–85% of achieved progress towards SDG 3, 4, 7, 8 and 13 indicators. These findings illustrate the potential of geospatial climate risk analyses, which incorporate direct household exposure and essential service access. Such high-resolution analyses are becoming feasible even in data-scarce parts of the world, helping decision-makers target and prioritize pro-poor development.
Living in disadvantaged neighborhoods linked to less intervention for severe aortic stenosis
Authors: Ram Chirag , Yousef Sameh , Ma Wei-Guo , Vallabhajosyula Ishani , Singh Saket , Agarwal Ritu , Milewski Rita K. , Assi Roland , Patel Prakash A. , Williams Matthew , Geirsson Arnar , Vallabhajosyula Prashanth 
Published: February 2024

AbstractTo investigate the association between area deprivation index (ADI) and aortic valve replacement (AVR) in patients with severe aortic stenosis (AS). Patients aged 40–95 years with severe AS confirmed by echocardiography were included. The 9-digit zip code of patient residence address was used to identify the ADI ranking, based on which patients were divided into 5 groups (with Group E being most deprived). The rates of AV intervention were compared among 5 groups using competing risks analysis, with death as a competing event. We included 1751 patients with severe AS from 2013 to 2018 followed for a median 2.8 (interquartile range, 1.5–4.8) years. The more distressed ADI groups tended to be younger (P = 0.002), female (P < 0.001), and of African American race (P < 0.001), have higher presentation of sepsis (P = 0.031), arrhythmia (P = 0.022), less likely to have previous diagnosis of AS (P < 0.001); and were less likely to undergo AVR (52.5% vs 46.9% vs 46.1% vs 48.9% vs 39.7%, P = 0.023). Using competing risk analysis, the highest ADI group (E) were the least and the lowest ADI group (A) the most likely to undergo AVR (Gray’s test, P = 0.025). The association between ADI ranking and AVR rates was influenced by sex and race. Within group analysis, there was significant association between race and AVR (Gray’s test, P < 0.001), and between sex and AVR (Gray’s test, P < 0.001). Patients with severe AS living in more deprived neighborhoods were less likely to undergo aortic valve interventions, which was influenced by female gender, and African American race.
Sleep traits and associated factors among people living with HIV/AIDS in Iran: a two-step clustering analysis
Authors: Mohammadnejhad Safieh , Najafi Arezu , Earnshaw Valerie A. , Mousavi Mohammad Ebrahimzadeh , Fotouhi Akbar , Akbarpour Samaneh 
Published: March 2024

AbstractSleep plays an essential role in improving the quality of life of people living with HIV (PLWH); however, sleep traits in this population are not well studied. This study aims to evaluate the sleep traits and related associated factors among PLWH in Iran. A nationwide cross-sectional study was conducted with 1185 PLWH who attended Voluntary Counseling and Testing centers in 15 provinces in Iran between April 2021 and March 2022. The Berlin Obstructive Sleep Apnea questionnaire, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale and Insomnia Severity Index were used. A two-step clustering method was employed to identify the number of sleep clusters in PLWH. Prevalence of poor sleep quality, sleepiness and insomnia were 49.6%, 21.15% and 42.7% respectively. Three sleep trait clusters were identified: I. minor sleep problems (45.6%); II. Snoring & sleep apnea (27.8%), and III. poor sleep quality and insomnia (26.7%). Age (Odds Ratio (OR) 1.033, 95% Confidence Interval (CI) 1.017–1.050), academic education (OR 0.542, 95% CI 0.294–0.998) and HIV duration were associated with being in Snoring & sleep apnea cluster, while age (OR = 1.027, 95% CI 1.009–1.040) was associated with being in Poor sleep quality and insomnia cluster. PLWH with depression had higher odds of being in Poor sleep quality and insomnia cluster, and those with anxiety had higher odds of being in Snoring & sleep apnea cluster and Poor sleep quality and insomnia cluster. A significant proportion of PLWH have poor sleep quality, sleepiness, and insomnia. The identification of three distinct sleep trait clusters underscores the need for increased attention and tailored interventions to address the specific sleep issues experienced by PLWH.
Understanding social dynamics and patient experience in out of hospital care: validation of a co-responsibility questionnaire (CoReCare)
Authors: Knufinke-Meyfroyt Melanie , Lancia Carlo , Lodewijks Yentl , Nienhuijs Simon , Deckers Eva 
Published: February 2024

AbstractPatient experiences are commonly assessed through patient reported experience measures (PREMs). Ambulatory care models extend traditional care into the patients’ home, meaning that a triangle of health care professionals, patients, and their families need to be considered when assessing the remote care experience. These intertwined responsibilities are described by co-responsibility. Currently, PREMs don’t reflect how elements to remote care impact this remote care experience. Therefore, this study aimed to develop a questionnaire assessing perceived patient-partner co-responsibility as a PREM in remote care. A 30-item questionnaire was assessed among 1000 individuals aged between 18 and 65 years that tried to lose weight with a partner, friend or family member supporting them. Pairwise item correlations, Exploratory Factor Analysis, and Cronbach’s alpha were used for validation. 29-items were identified to reflect co-responsibility across 6 factors: empowerment and support, relational aspects, lack of sympathy, co-participation, accepting help and awareness. Cronbach’s alpha ranged between 0.66 and 0.93, showing good internal consistency. We present a validated CoReCare Questionnaire to understand the impact of social dynamics on achieving desired health outcomes in a remote care setting. The CoReCare Questionnaire extends current PREMs when aiming to assess and improve the patient experience of a care episode outside of the hospital.
Smartphones enabled up to 58 s strong-shaking warning in the M7.8 Türkiye earthquake
Authors: Finazzi Francesco , Bossu Rémy , Cotton Fabrice 
Published: February 2024

AbstractPublic earthquake early warning systems (PEEWSs) have the potential to save lives by warning people of incoming seismic waves up to tens of seconds in advance. Given the scale and geographical extent of their impact, this potential is greatest for destructive earthquakes, such as the M7.8 Pazarcik (Türkiye) event of 6 February 2023, which killed almost 60,000 people. However, warning people of imminent strong shaking is particularly difficult for large-magnitude earthquakes because the warning must be given before the earthquake has reached its final size. Here, we show that the Earthquake Network (EQN), the first operational smartphone-based PEEWS and apparently the only one operating during this earthquake, issued a cross-border alert within 12 s of the beginning of the rupture. A comparison with accelerometer and macroseismic data reveals that, owing to the EQN alerting strategy, Turkish and Syrian EQN users exposed to intensity IX and above benefitted from a warning time of up to 58 s before the onset of strong ground shaking. If the alert had been extended to the entire population, approximately 2.7 million Turkish and Syrian people exposed to a life-threatening earthquake would have received a warning ranging from 30 to 66 s in advance.
Mean Length of Utterance in Czech Toddlers: Validity Estimates and Comparison of Words, Morphemes, and Syllables
Authors: Matiasovitsová Klára , Čechová Petra , Sláma Jakub , Homolková Kamila , Smolík Filip 
Published: February 2024

Purpose:
We examined the properties of mean length of utterance (MLU) in Czech, a morphologically complex Slavic language. We compared the scores of MLU calculated in different units and based on different sample lengths and assessed its validity against another transcript and test-based measures.

Method:

One hundred nine children were recorded during free-play at 2;6 and 3;11 (years;months). We compared MLU in syllables, morphemes, and words (MLU
w
) in transcripts of different lengths (50, 75, 100, and all available utterances). For evaluating the validity of MLU, we also calculated Index of Productive Syntax (IPSyn) and number of different words (NDW) and used results of receptive vocabulary and grammar comprehension tests.

Results:

The different MLU measures based on different sample lengths correlated closely with MLU in transcripts of all utterances (all
r
s > .87). We found mostly strong correlations between MLU, IPSyn, and NDW at both time points and weak or moderate correlations between MLU and grammar and vocabulary. Regression models showed the significant unique effect of MLU
w
at 2;6 for MLU
w
(β = .29) and grammar (β = .33) at 3;11 and vocabulary (β = .27) at 3;7.

Conclusion:

MLU
w
based on all utterances was confirmed as a valid measure of early language skills in Czech, as it is stable in time and shows concurrent and predictive relations with other transcript-based and test-based measures.

Supplemental Material:

https://doi.org/10.23641/asha.25215203
A Viewpoint on Simulation Debriefing to Optimize Student Learning
Authors: Martin Kenyan L. 
Published: March 2024

Purpose:
The purpose of this article is to promote the viewpoint that simulation debriefing is a critical element of the simulation experience, which serves to facilitate students' ability to synthesize information and construct new mental models as they prepare for their future work as speech-language pathologists. The use of simulations in communication sciences and disorders (CSD) has grown significantly over the last decade. This article reviews key concepts in clinical simulation pedagogy and highlights the importance of debriefing as part of the simulation learning experience. Current guidelines and standards for simulations and debriefing in CSD are discussed, and debriefing models commonly used in nursing and medicine are described. Suggestions are provided to enhance current debriefing practices and guide future research in CSD.

Conclusions:
Clinical simulation, particularly the debriefing component, has the power to close the gaps in students' clinical knowledge and skills and to prepare students for robust and diverse careers. In a review of debriefing models originating from nursing and medicine, several crucial debriefing components are noted. Students need time to (a) react to and defuse emotions related to the simulation experience, (b) gather and describe key simulation details, (c) analyze simulation outcomes, and (d) summarize new knowledge and consider how it applies to future contexts. Additional research is needed to continue developing and refining simulation and debriefing best practices in CSD. Debriefing models from nursing and medicine ought to be explored and replicated in future CSD research.
Semiparametric constant false alarm rate method for radar and sonar images
Authors: Li Ke , Zhang Peng , Yang Ziyuan 
Published: March 2024

AbstractThis work proposed a novel constant false alarm rate detection method based on Gaussian mixture model (GMM). The main contribution contains two aspects. First, the Gabor wavelet is used to determine the GMM component number. Second, the expression of probability of false alarm is derived based on the GMM parameter.
Enhanced classification performance through GauGAN‐based data augmentation for tomato leaf images
Authors: Cho Seung‐Beom , Cheng Yu , Sul Sanghun 
Published: March 2024

AbstractThis study investigated a data augmentation method for plant disease classification and early diagnosis based on a generative adversarial neural network (GAN). In the development of classification models using deep learning, data imbalance is a primary factor that reduces classification performance. To address this issue, tomato disease images from the public dataset PlantVillage were used to evaluate the performance of the GauGAN algorithm. The images generated by the proposed GauGAN model were used to train a MobileNet‐based classification model and compared with methods trained with conventional data augmentation techniques and cut‐mix and mix‐up algorithms. The experimental results demonstrate that based on F1‐scores, GauGAN‐based data augmentation outperformed conventional methods by more than 10%. In addition, after the model was retrained on data collected in the field, it efficiently generated various disease images. The evaluation results from those images also revealed a data augmentation effect of about 10% compared with traditional augmentation techniques.
EUHFORIA modelling of the Sun-Earth chain of the magnetic cloud of 28 June 2013
Authors: Prete G. , Niemela A. , Schmieder B. , Al-Haddad N. , Zhuang B. , Lepreti F. , Carbone V. , Poedts S. 
Published: March 2024

Context. Predicting geomagnetic events starts with an understanding of the Sun-Earth chain phenomena in which (interplanetary) coronal mass ejections (CMEs) play an important role in bringing about intense geomagnetic storms. It is not always straightforward to determine the solar source of an interplanetary coronal mass ejection (ICME) detected at 1 au.
Aims. The aim of this study is to test by a magnetohydrodynamic (MHD) simulation the chain of a series of CME events detected from L1 back to the Sun in order to determine the relationship between remote and in situ CMEs.
Methods. We analysed both remote-sensing observations and in situ measurements of a well-defined magnetic cloud (MC) detected at L1 occurring on 28 June 2013. The MHD modelling is provided by the 3D MHD European Heliospheric FORecasting Information Asset (EUHFORIA) simulation model.
Results. After computing the background solar wind, we tested the trajectories of six CMEs occurring in a time window of five days before a well-defined MC at L1 that may act as the candidate of the MC. We modelled each CME using the cone model. The test involving all the CMEs indicated that the main driver of the well-defined, long-duration MC was a slow CME. For the corresponding MC, we retrieved the arrival time and the observed proton density.
Conclusions. EUHFORIA confirms the results obtained in the George Mason data catalogue concerning this chain of events. However, their proposed solar source of the CME is disputable. The slow CME at the origin of the MC could have its solar source in a small, emerging region at the border of a filament channel at latitude and longitude equal to +14 degrees.