bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clonal Hematopoiesis of Indeterminate Potential in Chronic Thromboembolic Pulmonary Hypertension: A Multicenter Study
Authors: Liu Chao , Zhou Yu-Ping , Lian Tian-Yu , Li Ruo-Nan , Ma Jing-Si , Yang Yin-Jian , Zhang Si-Jin , Li Xian-Mei , Qiu Lu-Hong , Qiu Bao-Chen , Ren Li-Yan , Wang Jia , Han Zhi-Yan , Li Jing-Hui , Wang Lan , Xu Xi-Qi , Sun Kai , Chen Lian-Feng , Cheng Chun-Yan , Zhang Ze-Jian , Jing Zhi-Cheng 
Published: January 2024

BACKGROUND:
The pathogenesis of chronic thromboembolic pulmonary hypertension (CTEPH) is multifactorial and growing evidence has indicated that hematological disorders are involved. Clonal hematopoiesis of indeterminate potential (CHIP) has recently been associated with an increased risk of both hematological malignancies and cardiovascular diseases. However, the prevalence and clinical relevance of CHIP in patients with CTEPH remains unclear.

METHODS:
Using stepwise calling on next-generation sequencing data from 499 patients with CTEPH referred to 3 centers between October 2006 and December 2021, CHIP mutations were identified. We associated CHIP with all-cause mortality in patients with CTEPH. To provide insights into potential mechanisms, the associations between CHIP and inflammatory markers were also determined.

RESULTS:

In total, 47 (9.4%) patients with CTEPH carried at least 1 CHIP mutation at a variant allele frequency of ≥2%. The most common mutations were in
DNMT3A
,
TET2
,
RUNX1
, and
ASXL1
. During follow-up (mean, 55 months), deaths occurred in 22 (46.8%) and 104 (23.0%) patients in the CHIP and non-CHIP groups, respectively (
P
<0.001, log-rank test). The association of CHIP with mortality remained robust in the fully adjusted model (hazard ratio, 2.190 [95% CI, 1.257–3.816];
P
=0.006). Moreover, patients with CHIP mutations showed higher circulating interleukin-1β and interleukin-6 and lower interleukin-4 and IgG galactosylation levels.

CONCLUSIONS:
This is the first study to show that CHIP mutations occurred in 9.4% of patients with CTEPH are associated with a severe inflammatory state and confer a poorer prognosis in long-term follow-up.
Embodying Spatial Sound Synthesis with AI in Two Compositions for
Instruments and 3-D Electronics
Authors: Einbond Aaron , Carpentier Thibaut , Schwarz Diemo , Bresson Jean 
Published: January 2024

Abstract
The situated spatial presence of musical instruments has been well studied in the fields of acoustics and music perception research, but so far it has not been the focus of human–AI interaction. We respond critically to this trend by seeking to reembody interactive electronics using data derived from natural acoustic phenomena. Two musical works, composed for human soloist and computer-generated live electronics, are intended to situate the listener in an immersive sonic environment in which real and virtual sources blend seamlessly. To do so, we experimented with two contrasting reproduction setups: a surrounding Ambisonic loudspeaker dome and a compact spherical loudspeaker array for radiation synthesis. A large database of measured radiation patterns of orchestral instruments served as a training set for machine learning models to control spatially rich 3-D patterns for electronic sounds. These are exploited during performance in response to live sounds captured with a spherical microphone array and used to train computer models of improvisation and to trigger corpus-based spatial synthesis. We show how AI techniques are useful to utilize complex, multidimensional, spatial data in the context of computer-assisted composition and human–computer interactive improvisation.
Identification of rare cortical folding patterns using unsupervised deep learning
Authors: Guillon Louise , Chavas Joël , Bénézit Audrey , Moutard Marie-Laure , Roca Pauline , Mellerio Charles , Oppenheim Catherine , Rivière Denis , Mangin Jean-François 
Published: January 2024

Abstract
Like fingerprints, cortical folding patterns are unique to each brain even though they follow a general species-specific organization. Some folding patterns have been linked with neurodevelopmental disorders. However, due to the high inter-individual variability, the identification of rare folding patterns that could become biomarkers remains a very complex task. This paper proposes a novel unsupervised deep learning approach to identify rare folding patterns and assess the degree of deviations that can be detected. To this end, we preprocess the brain MR images to focus the learning on the folding morphology and train a beta variational auto-encoder (β−VAE) on the inter-individual variability of the folding to identify outliers. We compare the detection power of the latent space and of the reconstruction errors, using synthetic benchmarks and one actual rare configuration related to the central sulcus. Finally, we assess the generalization of our method on a developmental anomaly located in another region and we validate the relevance of our approach on patients suffering from drug-resistant epilepsy. Our results suggest that this method enables encoding relevant folding characteristics that can be enlightened and better interpreted based on the generative power of the β−VAE. The latent space and the reconstruction errors bring complementary information and enable the identification of rare patterns of different nature. This method generalizes well to a different region on another dataset and demonstrates promising results on the epileptic patients. Code is available at https://github.com/neurospin-projects/2022_lguillon_rare_folding_detection.
Mycena lamprocephala, a new luminescent species from the Brazilian Amazon
Authors: SOARES CÉLIA C.B. , CABRAL TIARA S. , VARGAS-ISLA RUBY , CARDOSO JULI S. , RODRIGUES DORIANE P. , ISHIKAWA NOEMIA K. , OLIVEIRA JADSON J.S. 
Published: January 2024

A luminescent fungus growing on decaying leaves and sticks was collected in terra-firme forest at the upper Cuieiras river, Amazonas, Brazil. Morphological study and phylogenetic analysis (based on ITS+LSU data) confirmed it as a new species of Mycena. Mycena lamprocephala sp. nov. is characterized macroscopically by small, thin, basidiomata with an olivaceous brown pileus and glutinous stipe, and microscopically by diverticulate pleurocystidia, ramose cheilocystidia, and thin, diverticulate and branching pileipellis hyphae. The luminescence of the pileus and of the mycelium in the substrate is typically green and sometimes pulsating. This is the third luminescent species of Mycenaceae described from the Amazon Forest.
A Glimpse into the Future: The 2023 Ocean Temperature and Sea Ice Extremes in the Context of Longer-Term Climate Change
Authors: Kuhlbrodt Till , Swaminathan Ranjini , Ceppi Paulo , Wilder Thomas 
Published: January 2024

Abstract
In the year 2023, we have seen extraordinary extrema in high sea surface temperature (SST) in the North Atlantic and in low sea ice extent in the Southern Ocean, outside the 4σ envelope of the 1982–2011 daily time series. Earth’s net global energy imbalance (12 months up to September 2023) amounts to +1.9 W m−2 as part of a remarkably large upward trend, ensuring further heating of the ocean. However, the regional radiation budget over the North Atlantic does not show signs of a suggested significant step increase from less negative aerosol forcing since 2020. While the temperature in the top 100 m of the global ocean has been rising in all basins since about 1980, specifically the Atlantic basin has continued to further heat up since 2016, potentially contributing to the extreme SST. Similarly, salinity in the top 100 m of the ocean has increased in recent years specifically in the Atlantic basin, and in addition in about 2015 a substantial negative trend for sea ice extent in the Southern Ocean began. Analyzing climate and Earth system model simulations of the future, we find that the extreme SST in the North Atlantic and the extreme in Southern Ocean sea ice extent in 2023 lie at the fringe of the expected mean climate change for a global surface-air temperature warming level (GWL) of 1.5°C, and closer to the average at a 3.0°C GWL. Understanding the regional and global drivers of these extremes is indispensable for assessing frequency and impacts of similar events in the coming years.
Global Evaluation of Simulated High and Low Flows from 23 Macroscale Models
Authors: Guo Hui , Hou Ying , Yang Yuting , McVicar Tim R. 
Published: January 2024

Abstract
Macroscale hydrological/land surface models are important tools for assessing historical and predicting future characteristics of extreme hydrological events, yet quantitative understandings of how these large-scale models perform in simulating extreme hydrological characteristics remain limited. Here we evaluate simulated high and low flows from 23 macroscale models within three modeling experiments (i.e., 14 climate models from CMIP6, 6 global hydrological models from ISIMIP2a, and 3 land surface models from GLDAS) against observation in 633 unimpaired catchments globally over 1971–2010. Our findings reveal limitations in simulating extreme flow characteristics by these models. Specifically, we find that (i) most models overestimate high-flow magnitudes (bias range: from +15% to +70%) and underestimate low-flow magnitudes (bias range: from −80% to −20%); (ii) interannual variability in high and low flows is reasonably reproduced by ISIMIP2a and GLDAS models but poorly reproduced by CMIP6 models; (iii) no model consistently replicates the observed trend direction in high and low flows in over two-thirds of the catchments, and most models overestimate high-flow trends and underestimate low-flow trends; and (iv) CMIP6 and GLDAS models show timing biases, with early high flows and late low flows, while ISIMIP2a models exhibit the opposite pattern. Furthermore, all models performed better in more humid environments and noncold regions, with model structure and parameterization contributing more to uncertainties than climatic forcings. Overall, our results demonstrate that extreme flow characteristics simulated from current state-of-the-art macroscale models still contain large uncertainties and provide important guidance regarding the robustness of assessing extreme hydrometeorological events based on these modeling outputs.

Significance Statement
Macroscale hydrological and land surface models represent crucial tools for assessing historical trends and making predictions about future hydrological changes. Nevertheless, our current understanding of the quantitative performance of these large-scale models in simulating extreme hydrological characteristics remains limited. Here, we evaluate simulated high and low flows from 23 state-of-the-art macroscale models against observation in 633 unimpaired catchments globally over 1971–2010. Our results reveal important limitations in the extreme flow characteristics simulated from these models and provide important guidance regarding the robustness of assessing extreme hydrometeorological events based on these modeling outputs. The model evaluation performed herein serves as a pivotal, offering valuable insights to inform the development of the next generation of macroscale hydrological and land surface models.
A Generalized Slab Model
Authors: Stokes Ian A. , Kelly Samuel M. , Lucas Andrew J. , Waterhouse Amy F. , Whalen Caitlin B. , Klenz Thilo , Hormann Verena , Centurioni Luca 
Published: January 2024

Abstract
We construct a generalized slab model to calculate the ocean’s linear response to an arbitrary, depth-variable forcing stress profile. To introduce a first-order improvement to the linear stress profile of the traditional slab model, a nonlinear stress profile, which allows momentum to penetrate into the transition layer (TL), is used [denoted mixed layer/transition layer (MLTL) stress profile]. The MLTL stress profile induces a twofold reduction in power input to inertial motions relative to the traditional slab approximation. The primary reduction arises as the TL allows momentum to be deposited over a greater depth range, reducing surface currents. The secondary reduction results from the production of turbulent kinetic energy (TKE) beneath the mixed layer (ML) related to interactions between shear stress and velocity shear. Direct comparison between observations in the Iceland Basin, the traditional slab model, the generalized slab model with the MLTL stress profile, and the Price–Weller–Pinkel (PWP) model suggest that the generalized slab model offers improved performance over a traditional slab model. In the Iceland Basin, modeled TKE production in the TL is consistent with observations of turbulent dissipation. Extension to global results via analysis of Argo profiling float data suggests that on the global, annual mean, ∼30% of the total power input to near-inertial motions is allocated to TKE production. We apply this result to the latest global, annual-mean estimates for near-inertial power input (0.27 TW) to estimate that 0.08 ± 0.01 TW of the total near-inertial power input are diverted to TKE production.
CT-Diagnosed Non-Alcoholic Fatty Liver Disease as a Risk Predictor of Symptomatic Carotid Plaque and Cerebrovascular Symptoms
Authors: Xu Tianqi , Wang Li , Chang Na , Li Sha , Jiao Bingxuan , Zhang Shuai , Wang Ximing 
Published: January 2024

We aimed to test whether computed tomography (CT)-diagnosed Non-Alcoholic Fatty Liver Disease (NAFLD) is a risk factor for cerebrovascular symptoms in patients with suspected atherosclerotic disease. A total of 550 patients (mean age 65.2 ± 8.8 years, 370 males) with carotid plaques who underwent carotid computed tomographic angiography (CTA) and unenhanced abdominal CT were retrospectively analyzed. NAFLD was diagnosed by abdominal CT. Carotid CTA assessed the presence of carotid artery stenosis or plaque. The relationship between NAFLD and cerebrovascular symptoms was analyzed using generalized estimating equations and receiver operating characteristic (ROC) analysis. The prevalence of NAFLD was significantly higher in symptomatic patients (76.5 vs 9.8%; P < .001). After adjusting for several confounding factors (e.g., hypertension and hyperlipidemia), univariate and multivariate logic regression analysis revealed that NAFLD was still strongly associated with cerebrovascular symptoms (odds ratio, 22.81; 95% CI 13.03–39.93; P < .001). ROC analysis showed that the area under the curve for discriminating symptomatic and asymptomatic plaques using NAFLD measurements was 0.833, with a sensitivity of 76.5% and a specificity of 90.2%. NAFLD is strongly associated with an increased risk of cerebrovascular symptoms. It may be an important predictor of symptomatic carotid plaque and cerebrovascular symptoms.
A Systematic Review and Meta-Analysis of the Impacts of Time-Restricted Eating on Metabolic Homeostasis
Authors: Qi Dan , Nie Xiaolu , Zhang Jianjun 
Published: January 2024

This meta-analysis investigated the effect of time-restricted eating (TRE) as an economical lifestyle intervention for the prevention of metabolic syndrome and improving the related metabolic variables. The Cochrane library, MEDLINE, EMBASE, clinical trials, and other databases were searched for randomized controlled trials (RCTs). We included 22 RCTs (1004 participants, aged 18–75 years, including healthy subjects, prediabetes and overweight patients) designed to evaluate the effect of TRE on metabolic parameters. Body mass index (BMI) (-0.56 kg/m2, 95% CI: -1.00, -0.13, P < .01), fasting blood glucose (-1.74 mmol/L, 95% CI: -3.34, -0.14, P < .01), and body weight (-0.48 kg, 95% CI: -0.74, -0.22, P < .01) in the TRE intervention group were decreased to varying degrees compared with controls. In contrast, high-density lipoprotein cholesterol (HDL-C) levels were significantly increased in the TRE group compared with the control group ( P < .01). The change in waist circumference, blood pressure, triglycerides, low-density lipoprotein cholesterol (LDL-C), and total cholesterol did not vary markedly across the groups. In conclusion, this meta-analysis found a significant reduction in BMI, weight, and fasting glucose, as well as a rise in HDL-C level with TRE compared with control. TRE could be used as an adjuvant treatment for metabolic dysfunctions.
Economic Policy Uncertainty and Equity Fund Flows to India: A Bayesian Approach
Authors: French Joseph J. , Martin Michael , McClatchey Christine 
Published: January 2024

We compare the impacts of economic policy uncertainty (EPU) and global economic policy uncertainty (GEPU)-related shocks on equity fund flows (EFFs) to India using a Bayesian vector autoregression approach. We find that (a) Indian EPU and GEPU are strongly and negatively related to EFF; (b) EFF are more sensitive to GEPU relative to Indian EPU; (c) evidence of trend-chasing behaviour by fund managers in India; and (d) GEPU is an important factor for forecasting returns on the Bombay Stock Exchange. Taken together, our findings indicate that EPU is important to understanding equity allocation decisions and returns in India. JEL Codes: F21, F39, G11
The Prevalence of Type II Workplace Violence in US Nurses 2000 to 2022: A Meta-Analysis
Authors: McLaughlin Laura , Khemthong Usa 
Published: January 2024

Background: Physical violence against nurses is a concern in the United States; however, its prevalence is not well quantified. Objective: We sought to describe the prevalence of workplace violence against nurses in the United States over a 22-year period. Methods: A meta-analysis was performed following a literature search of English texts through Scopus, CINAHL Plus, and Ovid MEDLINE. Inclusion criteria included the following: (1) primary reports of workplace violence incidents in the United States against nurses, (2) perpetrator was a patient, family member, or visitor, and (3) publications between January 1, 2000, and June 21, 2022. Reports where prevalence rates for nurses could not be calculated were excluded. Study quality was assessed using the Strengthening the Reporting of Observational Studies in Epidemiology checklist. Results: Thirty-seven studies met the inclusion criteria; 27 030 nurses were included. The pooled prevalence of workplace violence was 0.35 (95% confidence interval [CI]: 0.29-0.42; Q = 3189.40; I2 = 98.87). Pooled rates of workplace violence increased from 30% in 2000 to 2004 to 43% in 2020 to 2022; however, the overlapping CIs indicate that the increase may not be statistically significant. The mean prevalence of reported workplace violence among nurses who work in the emergency department, in corrections, and psychiatric mental health settings (pooled prevalence = 0.59, 95% CI: 0.46-0.71) was higher than that of nurses who worked in all other settings (pooled prevalence = 0.24, 95% CI: 0.18-0.30). Conclusions: Workplace violence is a significant and potentially increasing problem for nurses in the United States. This critical problem requires an effective response from nurse policymakers.
Long-term bereavement outcomes in family members of those who died in acute care hospitals before and during the first wave of COVID-19: A cohort study
Authors: Lapenskie Julie , Anderson Koby , Lawlor Peter G. , Kabir Monisha , Noel Chelsea , Heidinger Brandon , Parsons Henrique A. , Cohen Leila , Gratton Valérie , Besserer Ella , Adeli Samantha , Murphy Rebekah , Warmels Grace , Bruni Adrianna , Bhimji Khadija , Dyason Claire , Enright Paula , Desjardins Isabelle , Wooller Krista , Arsenault-Mehta Kyle , Webber Colleen , Bedard Daniel , Iyengar Akshai , Bush Shirley H , Isenberg Sarina R , Tanuseputro Peter , Vanderspank-Wright Brandi , Downar James 
Published: January 2024

Background: Severe grief is highly distressing and prevalent up to 1 year post-death among people bereaved during the first wave of COVID-19, but no study has assessed changes in grief severity beyond this timeframe. Aim: Understand the trajectory of grief during the pandemic by reassessing grief symptoms in our original cohort 12–18 months post-death. Design: Prospective matched cohort study. Settings/participants: Family members of decedents who died in an acute care hospital between November 1, 2019 and August 31, 2020 in Ottawa, Canada. Family members of patients who died of COVID (COVID +ve) were matched 2:1 with those who died of non-COVID illness (COVID −ve) during pandemic wave 1 or immediately prior to its onset (pre-COVID). Grief was assessed using the Inventory of Complicated Grief (ICG). Results: Follow-up assessment was completed by 92% (111/121) of family members in the initial cohort. Mean ICG score on the 12–18-month assessment was 19.9 (SD = 11.8), and severe grief (ICG > 25) was present in 28.8% of participants. One-third (33.3%) had either a persistently high (>25) or worsening ICG score (⩾4-point increase between assessments). Using a modified Poisson regression analysis, persistently high or worsening ICG scores were associated with endotracheal intubation in the deceased, but not cause of death (COVID +ve, COVID −ve, pre-COVID) or physical presence of the family member in the final 48 h of life. Conclusions: Severe grief is a substantial source of psychological morbidity in the wake of the COVID-19 pandemic, persisting more than a year post-death. Our findings highlight an acute need for effective and scalable means of addressing severe grief.
Participant and caregiver experiences of an activities of daily living-focused cognitive stimulation program for individuals with mild-to-moderate dementia (CS-ADL)
Authors: Ryan Simone , Chockalingam Manigandan , Brady Orla 
Published: January 2024

Background: Individuals with dementia experience a progressive deterioration in their cognitive and functional abilities, and as a result, require support from informal family caregivers. Non-pharmacological interventions, such as cognitive stimulation, are increasingly being used to address this deterioration. This study explored the participant and caregiver experiences of CS-ADL (Cognitive Stimulation in Activities of Daily Living), an activities of daily living-focused group cognitive stimulation program for individuals with mild-to-moderate dementia. Methods: A descriptive qualitative design was implemented. CS-ADL participants and caregivers were recruited in dyads through a Psychiatry of Later Life service where CS-ADL was delivered. Semi-structured interviews were completed with each dyad either in-person or via the telephone. Data retrieved were analyzed through reflexive thematic analysis. Results: CS-ADL was experienced as an acceptable intervention that positively influenced the everyday life of both dyad members, with benefits reported in the memory, mood, daily routine, and social interaction of participants. Furthermore, the facilitation style of group facilitators positively influenced participants’ engagement in CS-ADL. Limited data was gathered regarding the experience of activities of daily living. Conclusion: This is the first study to explore experiences of CS-ADL, producing a preliminary addition to the evidence-base for CS-ADL. However, further research is required to confirm study findings and explore the experiences of activities of daily living in greater depth.