bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationship of Soluble Lectin‐Like Low‐Density Lipoprotein Receptor‐1 (sLOX‐1) With Inflammation and Coronary Plaque Progression in Psoriasis
Authors: Florida Elizabeth M. , Li Haiou , Hong Christin G. , Ongstad Emily L. , Gaddipati Ranjitha , Sitaula Sadichha , Varma Vijayalakshmi , Parel Philip M. , O'Hagan Ross , Chen Marcus Y. , Teague Heather L. , Playford Martin P. , Karathanasis Sotirios K. , Collén Anna , Mehta Nehal N. , Remaley Alan T. , Sorokin Alexander V. 
Published: November 2023

Background
Psoriasis is a chronic inflammatory condition associated with coronary artery disease risk. Uptake of oxidized low‐density lipoprotein by the lectin‐like low‐density lipoprotein receptor‐1 triggers release of the soluble extracellular domain of the receptor (sLOX‐1). We sought to characterize the relationship between sLOX‐1, inflammation, and coronary plaque progression in psoriasis.

Methods and Results

A total of 327 patients with psoriasis had serum sLOX‐1 levels measured at baseline by an ELISA‐based assay. Stratification by high‐sensitivity C‐reactive protein ≥4.0 mg/L (quartile 4), identified 81 participants who had coronary plaque phenotyping at baseline and were followed longitudinally by coronary computed tomography angiography. Subjects within high‐sensitivity C‐reactive protein quartile 4 were middle‐aged (51.47±12.62 years), predominantly men (54.3%) with moderate psoriasis disease severity (6.60 [interquartile range, 3.30–13.40]). In the study cohort, participants with sLOX‐1 above the median displayed increased vulnerable coronary plaque features. At baseline, sLOX‐1 was associated with total burden (rho=0.296;
P
=0.01), noncalcified burden (rho=0.286;
P
=0.02), fibro‐fatty burden (rho=0.346;
P
=0.004), and necrotic burden (rho=0.394;
P
=0.002). A strong relationship between sLOX‐1, noncalcified burden (
β
=0.19;
P
=0.03), and fibro‐fatty burden (
β
=0.29;
P
=0.003) was found in fully adjusted models at baseline and 1‐ and 4‐year follow‐up. Finally, coronary plaque features progressed over 1 year regardless of biologic or systemic treatment in subjects with high sLOX‐1.

Conclusions
Patients with psoriasis with both high sLOX‐1 and high‐sensitivity C‐reactive protein levels have increased coronary plaque burden associated with atherosclerotic plaque progression independent of biologic and systemic treatment. Thus, sLOX‐1 might be considered as a promising marker in coronary artery disease risk estimation beyond traditional risk factors.

Registration

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT01778569.
Association of Depression and Adherence to Oral Anticoagulation in Patients With Atrial Fibrillation
Authors: Lapa Matthew E. , Swabe Gretchen M. , Magnani Jared W. 
Published: November 2023

Background
Adherence to oral anticoagulation is essential for stroke prevention in atrial fibrillation (AF). Depression has been associated with decreased adherence to medications in multiple disease states and in AF is further associated with increased risk of stroke. We hypothesized that individuals with depression and AF have decreased adherence to anticoagulation than those without depression.

Methods and Results
We used administrative claims data to identify individuals with AF initiating anticoagulation with direct‐acting oral anticoagulants (DOACs) or warfarin between 2013 and 2019. We quantified adherence using proportion of days covered, categorized as limited (proportion of days covered, <80%), adequate (proportion of days covered, ≥80% to <90%), or optimal (proportion of days covered, ≥90%). We related depression to 12‐month adherence to anticoagulation in logistic regression models, adjusting for demographics, medical and psychiatric comorbidities, household income, educational attainment, and insurance type. As a secondary analysis, we determined the association of depression to adherence for each DOAC agent. We identified 101 041 individuals (aged 74.5±8.9 years; 50.6% women; 29.5% race or ethnicity other than White, including Asian or Black race and Hispanic ethnicity) who initiated either DOACs or warfarin. The odds of adequate adherence to DOACs was 11% (95% CI, 0.85–0.93), and the odds of optimal adherence was 12% (95% CI, 0.83–0.91) less in individuals with depression than those without. Depression was not associated with adherence to warfarin.

Conclusions
We identified an association between depression and decreased adherence to DOACs but not warfarin in individuals with AF. Recognizing depression in AF may guide interventions to improve anticoagulation adherence and reduce stroke risk.
Subhairline Electroencephalography for the Detection of Large Vessel Occlusion Stroke
Authors: Groenendijk Eva A. , van Stigt Maritta N. , van de Munckhof Anita A. G. A. , Koelman Johannes H. T. M. , Koopman Miou S. , Marquering Henk A. , Potters Wouter V. , Coutinho Jonathan M. 
Published: November 2023

Background
Endovascular thrombectomy is standard treatment for patients with anterior circulation large vessel occlusion stroke (LVO‐a). Prehospital identification of these patients would enable direct routing to an endovascular thrombectomy‐capable hospital and consequently reduce time‐to‐endovascular thrombectomy. Electroencephalography (EEG) has previously proven to be promising for LVO‐a stroke detection. Fast and reliable electrode application, however, can remain a challenge. A potential alternative is subhairline EEG. We evaluated the diagnostic accuracy of subhairline EEG for LVO‐a stroke detection.

Methods and Results
We included adult patients with a suspected stroke or known LVO‐a stroke and symptom onset time <24 hours. A single 3‐minute EEG recording was performed at the emergency department, before endovascular thrombectomy, using 9 self‐adhesive electrodes placed on the forehead and behind the ears. We evaluated the diagnostic accuracies of EEG features quantifying frequency band power and brain symmetry (pairwise derived Brain Symmetry Index) for LVO‐a stroke detection using receiver operating characteristic analysis. EEG data were of sufficient quality for analysis in 51/52 (98%) included patients. Of these patients, 16 (31%) had an LVO‐a stroke, 16 (31%) a non‐LVO‐a ischemic stroke, 5 (10%) a transient ischemic attack, and 14 (27%) a stroke mimic. Median symptom‐onset‐to‐EEG‐time was 266 (interquartile range 130–709) minutes. The highest diagnostic accuracy for LVO‐a stroke detection was reached by the pairwise derived Brain Symmetry Index in the theta frequency band (area under the receiver operating characteristic curve 0.90; sensitivity 86%; specificity 83%).

Conclusions
Subhairline EEG could detect LVO‐a stroke with high diagnostic accuracy and had high data reliability. These data suggest that subhairline EEG is potentially suitable as a prehospital stroke triage instrument.
The Role of Typological Feature Prediction in NLP and
Linguistics
Authors: Bjerva Johannes 
Published: November 2023

Abstract
Computational typology has gained traction in the field of Natural Language Processing (NLP) in recent years, as evidenced by the increasing number of papers on the topic and the establishment of a Special Interest Group on the topic (SIGTYP), including the organization of successful workshops and shared tasks. A considerable amount of work in this sub-field is concerned with prediction of typological features, for example, for databases such as the World Atlas of Language Structures (WALS) or Grambank. Prediction is argued to be useful either because (1) it allows for obtaining feature values for relatively undocumented languages, alleviating the sparseness in WALS, in turn argued to be useful for both NLP and linguistics; and (2) it allows us to probe models to see whether or not these typological features are encapsulated in, for example, language representations. In this article, we present a critical stance concerning prediction of typological features, investigating to what extent this line of research is aligned with purported needs—both from the perspective of NLP practitioners, and perhaps more importantly, from the perspective of linguists specialized in typology and language documentation. We provide evidence that this line of research in its current state suffers from a lack of interdisciplinary alignment. Based on an extensive survey of the linguistic typology community, we present concrete recommendations for future research in order to improve this alignment between linguists and NLP researchers, beyond the scope of typological feature prediction.
Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling
Authors: Mellot Apolline , Collas Antoine , Rodrigues Pedro L. C. , Engemann Denis , Gramfort Alexandre 
Published: November 2023

Abstract
Neuroscience studies face challenges in gathering large datasets, which limits the use of machine learning (ML) approaches. One possible solution is to incorporate additional data from large public datasets; however, data collected in different contexts often exhibit systematic differences called dataset shifts. Various factors, for example, site, device type, experimental protocol, or social characteristics, can lead to substantial divergence of brain signals that can hinder the success of ML across datasets. In this work, we focus on dataset shifts in recordings of brain activity using MEG and EEG. State-of-the-art predictive approaches on magneto- and electroencephalography (M/EEG) signals classically represent the data by covariance matrices. Model-based dataset alignment methods can leverage the geometry of covariance matrices, leading to three steps: re-centering, re-scaling, and rotation correction. This work explains theoretically how differences in brain activity, anatomy, or device configuration lead to certain shifts in data covariances. Using controlled simulations, the different alignment methods are evaluated. Their practical relevance is evaluated for brain age prediction on one MEG dataset (Cam-CAN, n = 646) and two EEG datasets (TUAB, n = 1385; LEMON, n = 213). Among the same dataset (Cam-CAN), when training and test recordings were from the same subjects but performing different tasks, paired rotation correction was essential (δR2=+0.13 (rest-passive) or +0.17 (rest-smt)). When in addition to different tasks we included unseen subjects, re-centering led to improved performance (δR2=+0.096 for rest-passive, δR2=+0.045 for rest-smt). For generalization to an independent dataset sampled from a different population and recorded with a different device, re-centering was necessary to achieve brain age prediction performance close to within dataset prediction performance. This study demonstrates that the generalization of M/EEG-based regression models across datasets can be substantially enhanced by applying domain adaptation procedures that can statistically harmonize diverse datasets.
Thermodynamic and Dynamic Components of Winter Temperature Changes in Western Canada, 1950–2020
Authors: Newton Brandi , Sayanda Diogo , Bonsal Barrie 
Published: November 2023

Abstract
Most of the globe has experienced significant warming trends that have been attributed to anthropogenic climate change. However, these rates of warming are also influenced by short-term climate fluctuations driven by atmospheric circulation dynamics, resulting in inconsistent trend magnitudes in both time and space. This research evaluated winter (December–February) temperature trends over 1950–2020 at 91 climate stations across British Columbia (BC), Alberta (AB), and Saskatchewan (SK), Canada, and determined the components attributed to thermodynamic and dynamic (atmospheric circulation) factors. A synoptic climatological approach was used to classify atmospheric circulation patterns in the midtroposphere, relate those patterns to surface temperature, and evaluate changes in frequency. Moderate to high temperature increases over 71 years were found for most of the region, averaging 3.1°C in southern SK to 4.1°C in central-northern AB, and a maximum of 5.8°C in northern BC. Low to moderate increases were found for southern BC, averaging 1.2°C. Changes in atmospheric circulation accounted for 29% and 31% of observed temperature changes in central-northern BC and AB, respectively. Dynamic factors were a moderate driver in southern AB (18%) and central-northern SK (13%), and low in southern SK (5%). Negative dynamic contributions in southern BC (−6%), suggest that atmospheric circulation changes counteracted thermodynamically driven temperature changes. Results were consistent with trend analyses, indicating this method is well suited for trend detection and identification of thermodynamic and dynamic drivers. Results of this research improve our understanding of the magnitude of winter temperature changes critical for informing adaptation and climate-related policy decisions.

Significance Statement
Winter temperatures are strongly influenced by atmospheric circulation patterns, which move warm or cold air masses over large distances. We wanted to understand how changes in atmospheric circulation affect observed changes in winter temperatures in three provinces in western Canada. This also helps us to understand how much temperature change is due to anthropogenic (e.g., caused by greenhouse gases and land cover changes) and naturally occurring changes to Earth’s energy balance. Our results highlight the importance of understanding variability when selecting a time series for trend analyses or climate baselines for modeling studies. This study also helps to inform climate-related policies, decision-making, and adaptation strategies.
Structure and Characteristics of Synoptic-Scale Waves in the Northern Eurasian Storm Track during Summer
Authors: Fukutomi Yoshiki , Hiyama Tetsuya 
Published: November 2023

Abstract
This study examined the dominant structure and characteristics of synoptic-scale (2–8-day periods) waves over northern Eurasia during 40 summer seasons (June–August, 1979–2018). The synoptic-scale wave patterns are isolated using an extended empirical orthogonal function (EEOF) analysis on the 300-hPa geopotential height anomalies, and a composite based on atmospheric circulation fields and gridded precipitation product. The wave patterns are classified into two types from two pairs of EEOF modes. These two different wave types are defined as the polar frontal (PF) mode and Arctic frontal (AF) mode, respectively. The PF-mode waves are initiated in the North Atlantic sector to the west of the British Isles. They propagate eastward across Siberia into the North Pacific, and produce precipitation mainly over the Eurasian polar frontal zone. The AF-mode wave train arcs along the climatological Arctic frontal zone (AFZ). The AF-mode waves originate near the Scandinavian Peninsula. Their eastward passage brings precipitation along the AFZ. The development of the synoptic-scale waves is reflected by unique background conditions over northern Eurasia. The lower-tropospheric baroclinicity in southern Siberia and central Asia favored the baroclinic growth of the PF-mode waves. The AF-mode waves are trapped in the well-organized baroclinic zone along the north coast of the Eurasian continent. The baroclinic zone is coupled with a band of large meridional gradient of potential vorticity in the upper troposphere, suggesting that this band acts as a waveguide for the AF-mode waves.

Significance Statement
This study examines the synoptic-scale waves in the 2–8-day range of time scales over northern Eurasia during summer. The synoptic-scale waves are categorized into two distinct types at different latitude bands by the EEOF analysis on the 300-hPa z anomalies. They are defined as polar frontal (PF) mode and Arctic frontal (AF) mode. Then the EEOF-based composite analysis is conducted to detect the large-scale circulation anomalies associated with the propagation of different types of synoptic-scale waves. The structure and characteristics are examined. The roles of the mean background conditions in the development and propagation of the respective types are discussed. The behavior of these wave disturbances as rain-producing weather systems is also examined.
Factors Associated With Loneliness Among Chinese Patients With Cancer: A Cross-sectional Study
Authors: Lin Jingjing , Zheng Li , Zhang Jun , Zhang Lili , Zeng Yinghua , Liu Yawei , Xiao Lin 
Published: November 2023

Background: Loneliness has a significant impact on the physical and psychological well-being of patients with cancer. However, the specific factors contributing to loneliness among patients with cancer within the context of Chinese culture remain poorly understood. Objective: The objective of this study was to identify the factors associated with loneliness among patients with cancer in China. Methods: A cross-sectional study was conducted using convenience sampling, involving a sample of 205 patients with cancer from a tertiary hospital in Guangzhou, China. Participants completed several validated questionnaires, including the Cancer Loneliness Scale (CLS), Hospital Anxiety and Depression Scale (HADS), Cancer-Related Negative Social Expectations Scale (C-rNSES), and Social Support Rating Scale (SSRS). Multiple linear stepwise regression analysis was employed to explore the relationships between loneliness and psychosocial factors. Results: The median score for loneliness among patients with cancer was 13, with an interquartile range of 8. The multiple linear stepwise regression analysis revealed that negative social expectations, social support, and depression were significantly associated with loneliness in this population. Collectively, these factors accounted for 50.1% ( R2 = .501) of the variance in loneliness. Conclusions: The findings of this study highlight the importance of addressing negative social expectations and depression and improving social support to prevent or reduce loneliness among patients with cancer. Health care providers should consider these factors when developing interventions aimed at preventing or alleviating loneliness in this population.
Bidirectional Glenn operation without cardiopulmonary bypass: Single center experience and results
Authors: Nguyen Tran Thuy , Nguyen Duc Hoang , Nguyen Tran-Chung , Luong Long Hoang 
Published: November 2023

Background The bidirectional Glenn (BDG) shunt operation serves as temporary surgery for the treatment of single-ventricle physiology with the eventual Fontan procedure. In some cases, the procedure can be performed without the support of a cardiopulmonary bypass (CPB) machine. In this study, we present the surgical outcomes of off-pump BDG operation with the use of a temporary veno-atrial shunt to decompress the superior vena cava (SVC) during clamping time. Methods A cohort of 23 patients underwent off-pump BDG operations at Cardiovascular Center, E Hospital. All patients were operated on using a veno-atrial shunt to decompress the SVC. Results Satisfactory results with mean oxygen saturation increased from 79.6 ± 11.2% to 87.2 ± 4.7%. The SVC clamping time was 14 ± 2.4 min (ranging from 12 to 21 min). Among 23 patients, only six patients required blood transfusion, 17 patients had BDG without blood transfusion. No neurological complications or deaths occurred after the surgery, and the post-operative period was uneventful. Conclusions The use of veno-atrial shunts to decompress SVC during off-pump BDG operation is safe with good surgical outcomes and can avoid the deleterious effects caused by CPB. It is easily reproducible, at low cost and economically effective.
The investigation on mechanical properties of ultra-high toughness cementitious composite using orthogonal experiment
Authors: Li Hedong , Qiu Xiaoyu , Qiu Yifu , Liu Hanyong , Pan Yunfeng 
Published: November 2023

Ultra-high toughness cementitious composite (UHTCC) exhibits excellent deformability and multiple cracking properties under tensile loading, which are subjected to multiple compositional parameters. This paper simultaneously investigated the effects of water to binder ratio (W/B), cement and silica fume to fly ash ratio (CS/F), and amount of expanded perlite powder (EPP) on the mechanical properties of UHTCC using the orthogonal experiment, with compressive strength and tensile properties. The result of range analysis presented that the order of the influence of factors on mechanical indexes was CS/F > W/B > EPP. An increasing CS/F was conducive to the strength. Conversely, a lower CS/F had a beneficial effect on the tensile performance. In addition, the best level (within limited levels in this study) of each factor on indexes was carried out. The consequence of analysis of variance showed that W/B and CS/F had significance on the compressive strength and CS/F was a crucial factor in applications with lower crack width required, such as waterproof engineering. The comprehensive analysis indicated that the combination of W/B = 0.3, CS/F = 4:6, and EPP = 23.3 g/L was recommended for general mechanical properties of UHTCC.
What Factors Contribute to Reading in ADHD: Examining Reading-Related Skills in Children With ADHD Only/Comorbid Developmental Dyslexia
Authors: Liu Wenjuan , Hong Tian , Wang Jiuju , Zhang Linjun , Kang Limei , Wang Changming , Shu Hua , Wang Yufeng 
Published: November 2023

Background: ADHD and developmental dyslexia (DD) frequently co-occur. However, it is unclear why some children with ADHD acquire DD while others do not. Methods: A total of 830 children (including typically developing controls, ADHD only, DD only, and ADHD + DD groups) of two ages (younger: first–third grade; older: fourth–sixth grade) were assessed on measures of reading ability and reading-related skills. Results: The clinical groups had different degrees of impairment in each reading-related skill. Regression results found that the four groups had different skills in predicting reading ability in younger and older grades. Especially, rapid automatized naming (RAN) was the only predictor of reading ability in children with ADHD only. Conclusions: The study highlights that RAN plays an important role in the reading development of children with ADHD only, reflecting the possible protective role of RAN in reading development.