bluuebunny/crossref_metadata_2025_split huggingface dataset:
The long-term course of the Health Assessment Questionnaire in patients with systemic sclerosis
Authors: Liem Sophie IE , Bergstra Sytske Anne , Ciaffi Jacopo , van der Meulen Coen , Ueckert David A , Schriemer Marisca R , Huizinga Tom WJ , Vliet Vlieland Theodora PM , de Vries-Bouwstra Jeska K 
Published: June 2023

Objective: The Health Assessment Questionnaire–Disability Index is an important outcome measure reflecting functional disability, but knowledge on its course over time in patients with systemic sclerosis is scarce. Therefore, we investigated the long-term course of the Health Assessment Questionnaire–Disability Index and its association with baseline characteristics in systemic sclerosis patients. Methods: Systemic sclerosis patients, fulfilling the European League Against Rheumatism and the American College of Rheumatology 2013 criteria, were included from the Leiden Combined Care in Systemic Sclerosis cohort with annual assessments including the Scleroderma Health Assessment Questionnaire–Disability Index (range = 0–3). The course of the Health Assessment Questionnaire–Disability Index was evaluated over the total follow-up (baseline to last available Health Assessment Questionnaire–Disability Index) and between yearly visits. Based on a minimal clinical important difference of 0.22, courses were categorized into worsening, stable or improvement. The course of the Health Assessment Questionnaire–Disability Index over time was evaluated with linear mixed models. Baseline characteristics were compared between patients with a worsening or improvement of the Health Assessment Questionnaire–Disability Index over the total follow-up period with logistic regression analyses. Results: A total of 517 systemic sclerosis patients were included, with a median follow-up of 7 years (interquartile range = 4–9; 2649 visits) and a baseline Health Assessment Questionnaire–Disability Index of 0.625 (interquartile range = 0.125–1.25). On group level, the Health Assessment Questionnaire–Disability Index is stable with an annual increase of 0.019 (95% confidence interval = 0.011 to 0.027). Looking at subgroups, patients >65 years or who died/were physically unable to come during follow-up had a worse mean Health Assessment Questionnaire–Disability Index. In individual courses from baseline to the last follow-up, the proportions of patients with a clinically meaningful worsening, stable or improved Health Assessment Questionnaire–Disability Index were 35%, 42% and 23%, respectively. Patients with immunosuppressants (odds ratio = 0.5, 95% confidence interval = 0.3 to 0.9) or gastrointestinal involvement (odds ratio = 0.6, 95% confidence interval = 0.4 to 0.9) at baseline showed a reduced chance of worsening of the Health Assessment Questionnaire–Disability Index over the total follow-up period. Conclusion: Over time, the average course of the Health Assessment Questionnaire–Disability Index was stable in systemic sclerosis patients. However, individual courses vary, with worsening occurring in one-third. Worsening occurred less often in individuals using immunosuppressants or with gastrointestinal involvement at baseline.
Assessing Psychological Resilience and Distress Among Graduate Health Profession Students During the COVID-19 Pandemic
Authors: Clark Shane , Loe Emily , Merlo Lisa J. , Estores Irene M. 
Published: June 2023

Background Resilience, a person’s ability to adapt to adverse events, is associated with positive outcomes, especially in the field of healthcare. Research into the effects of the COVID-19 pandemic may help to understand and combat the long-term mental health burden for trainees in health care. Objective This cross-sectional study aimed to assess the impact of the pandemic on health profession students’ educational experiences, determine the association between their self-reported resilience and psychological distress and assess group differences between students from different graduate health profession programs in an academic medical center. Methods Graduate health profession students completed a 44-question online survey and the 10-item Connor Davidson Resilience Scale (CD-RISC-10) during the COVID-19 pandemic period between January-March 2021. We used descriptive statistics, independent samples t test, Related-samples Wilcoxon signed rank test, Pearson correlations test and Analysis of variance (ANOVA) to analyze the data. Results Majority of respondents reported that COVID-19 had a negative impact on their education and caused a reduction in educational opportunities (76.6% and 73% respectively). Majority also reported feeling burned out, lonely/isolated, or frustrated by COVID-19 restrictions (70.0%, 67.4%, and 61.8% respectively). Students reported increased use of both avoidant and adaptive coping strategies during the pandemic. Higher resilience scores were associated with higher self-reported stress, fewer burnout symptoms, and better overall well-being. Conclusion The COVID-19 pandemic significantly affected students in graduate health profession programs. Instructional quality, educational opportunities, institutional trust, peer socialization, and personal health and wellbeing were perceived to be negatively impacted. Students may require additional support and resources from their training programs to mitigate these concerns. Future studies should evaluate the long-term impact of the COVID-19 pandemic among pandemic-era graduate health profession students.
Comparing the value of mono- vs coculture for high-throughput compound screening in hematological malignancies
Authors: Herbst Sophie A. , Kim Vladislav , Roider Tobias , Schitter Eva C. , Bruch Peter-Martin , Liebers Nora , Kolb Carolin , Knoll Mareike , Lu Junyan , Dreger Peter , Müller-Tidow Carsten , Zenz Thorsten , Huber Wolfgang , Dietrich Sascha 
Published: June 2023

Abstract
Large-scale compound screens are a powerful model system for understanding variability of treatment response and discovering druggable tumor vulnerabilities of hematological malignancies. However, as mostly performed in a monoculture of tumor cells, these assays disregard modulatory effects of the in vivo microenvironment. It is an open question whether and to what extent coculture with bone marrow stromal cells could improve the biological relevance of drug testing assays over monoculture. Here, we established a high-throughput platform to measure ex vivo sensitivity of 108 primary blood cancer samples to 50 drugs in monoculture and coculture with bone marrow stromal cells. Stromal coculture conferred resistance to 52% of compounds in chronic lymphocytic leukemia (CLL) and 36% of compounds in acute myeloid leukemia (AML), including chemotherapeutics, B–cell receptor inhibitors, proteasome inhibitors, and Bromodomain and extraterminal domain inhibitors. Only the JAK inhibitors ruxolitinib and tofacitinib exhibited increased efficacy in AML and CLL stromal coculture. We further confirmed the importance of JAK-STAT signaling for stroma-mediated resistance by showing that stromal cells induce phosphorylation of STAT3 in CLL cells. We genetically characterized the 108 cancer samples and found that drug-gene associations strongly correlated between monoculture and coculture. However, effect sizes were lower in coculture, with more drug-gene associations detected in monoculture than in coculture. Our results justify a 2-step strategy for drug perturbation testing, with large-scale screening performed in monoculture, followed by focused evaluation of potential stroma-mediated resistances in coculture.
Superior artificial synaptic properties applicable to neuromorphic computing system in HfOx-based resistive memory with high recognition rates
Authors: Seo Hyun Kyu , Lee Su Yeon , Yang Min Kyu 
Published: June 2023

AbstractWith the development of artificial intelligence and the importance of big data processing, research is actively underway to break away from data bottlenecks and modern Von Neumann architecture computing structures that consume considerable energy. Among these, hardware technology for neuromorphic computing is in the spotlight as a next-generation intelligent hardware system because it can efficiently process large amounts of data with low power consumption by simulating the brain’s calculation algorithm. In addition to memory devices with existing commercial structures, various next-generation memory devices, including memristors, have been studied to implement neuromorphic computing. In this study, we evaluated the synaptic characteristics of a resistive random access memory (ReRAM) with a Ru/HfOx/TiN structure. Under a series of presynaptic spikes, the device successfully exhibited remarkable long-term plasticity and excellent nonlinearity properties. This synaptic device has a high operating speed (20 ns, 50 ns), long data retention time (> 2 h @85 ℃) and high recognition rate (94.7%). Therefore, we propose that memory and learning capabilities can be used as promising HfOx-based memristors in next-generation artificial neuromorphic computing systems.
Pan-transcriptomic Profiling Demarcates Serendipita Indica-Phosphorus Mediated Tolerance Mechanisms in Rice Exposed to Arsenic Toxicity
Authors: Sehar Shafaque , Adil Muhammad Faheem , Askri Syed Muhammad Hassan , Feng Qidong , Wei Dongming , Sahito Falak Sehar , Shamsi Imran Haider 
Published: June 2023

AbstractInadvertent accumulation of arsenic (As) in rice (Oryza sativa L.) is a concern for people depending on it for their subsistence, as it verily causes epigenetic alterations across the genome as well as in specific cells. To ensure food safety, certain attempts have been made to nullify this highest health hazard encompassing physiological, chemical and biological methods. Albeit, the use of mycorrhizal association along with nutrient reinforcement strategy has not been explored yet. Mechanisms of response and resistance of two rice genotypes to As with or without phosphorus (P) nutrition and Serendipita indica (S. indica; S.i) colonization were explored by root transcriptome profiling in the present study. Results revealed that the resistant genotype had higher auxin content and root plasticity, which helped in keeping the As accumulation and P starvation response to a minimum under alone As stress. However, sufficient P supply and symbiotic relationship switched the energy resources towards plant’s developmental aspects rather than excessive root proliferation. Higher As accumulating genotype (GD-6) displayed upregulation of ethylene signaling/biosynthesis, root stunting and senescence related genes under As toxicity. Antioxidant defense system and cytokinin biosynthesis/signaling of both genotypes were strengthened under As + S.i + P, while the upregulation of potassium (K) and zinc (Zn) transporters depicted underlying cross-talk with iron (Fe) and P. Differential expression of phosphate transporters, peroxidases and GSTs, metal detoxification/transport proteins, as well as phytohormonal metabolism were responsible for As detoxification. Taken together, S. indica symbiosis fortified with adequate P-fertilizer can prove to be effective in minimizing As acquisition and accumulation in rice plants.
Effects of highway work zone temporary countermeasures
Authors: Shahin Fadi , Elias Wafa , Toledo Tomer 
Published: June 2023

AbstractHighway work zones are associated with significant adverse impacts on safety. Mitigating these impacts can be achieved by implementing several countermeasures. This paper uses controlled experiments in a driving simulator to investigate the effects of physical and digital temporary traffic control countermeasures on work zone safety. These include variable message signs, dynamic speed displays, rumble strips, and lane widths. 116 participants were recruited for the experiment. A linear mixed-effects model was developed to capture the effects of these countermeasures on average travel speed and standard deviation of speeds in the advanced warning area and within the work zone itself. The results reveal that rumble strips installed within the work zone cause the strongest reduction in speeds. Narrower lanes cause smaller speed reductions. In general, the effects of temporary traffic control countermeasures on speeds were local and were not retained beyond their proximity.
Gene regulatory network inference based on a nonhomogeneous dynamic Bayesian network model with an improved Markov Monte Carlo sampling
Authors: Zhang Jiayao , Hu Chunling , Zhang Qianqian 
Published: June 2023

AbstractA nonhomogeneous dynamic Bayesian network model, which combines the dynamic Bayesian network and the multi-change point process, solves the limitations of the dynamic Bayesian network in modeling non-stationary gene expression data to a certain extent. However, certain problems persist, such as the low network reconstruction accuracy and poor model convergence. Therefore, we propose an MD-birth move based on the Manhattan distance of the data points to increase the rationality of the multi-change point process. The underlying concept of the MD-birth move is that the direction of movement of the change point is assumed to have a larger Manhattan distance between the variance and the mean of its left and right data points. Considering the data instability characteristics, we propose a Markov chain Monte Carlo sampling method based on node-dependent particle filtering in addition to the multi-change point process. The candidate parent nodes to be sampled, which are close to the real state, are pushed to the high probability area through the particle filter, and the candidate parent node set to be sampled that is far from the real state is pushed to the low probability area and then sampled. In terms of reconstructing the gene regulatory network, the model proposed in this paper (FC-DBN) has better network reconstruction accuracy and model convergence speed than other corresponding models on the Saccharomyces cerevisiae data and RAF data.
Recovery of driving skills after endoscopy under propofol sedation: a prospective pilot study to assess the driving skills after endoscopic sedation using driving simulation
Authors: Hao Xiao-Wen , Zhan Yuan-Lin , Li Peng , Zhang Shu-Tian , Yan Xue-Dong , Li Xiao-Meng , Xiang Wang 
Published: June 2023

Abstract
Background
Patients are recommended not to drive for at least the first 24 h after endoscopy with propofol sedation. However, the evidence underlying these recommendations is scarce. We hypothesized that after endoscopic procedures performed under propofol sedation, the subject’s driving ability was restored in less than 24 h.

Methods
We prospectively enrolled thirty patients between 20 and 70 years possessing a legitimate driver’s license scheduled for endoscopy at our hospital. The sample chosen was a convenience sample. Gastroscopy or colonoscopy was performed with propofol sedation. Before and after endoscopy, the investigator drove the subjects to the laboratory to assess their driving skills using a driving simulation system, which employs 3 driving scenarios designed by professional transportation researchers. The blood propofol concentration was estimated before endoscopy, and 2 and 4 h after endoscopy. The primary outcome was the time required for subjects to recover their driving ability after propofol sedation. The secondary outcome was the blood propofol concentration before and after endoscopic procedures under propofol anesthesia.

Results
Thirty volunteers participated in the study and 18 of them completed all the interventions. In the low-risk S-curve scene, the mean acceleration, lane deviation, and number of deviations from the path at baseline (0.016 cm/s2, 42.50 cm, and 0.83, respectively) were significantly less than that at post-2 h (0.029 cm/s2, P = 0.001; 53.80 cm, P = 0.014; 2.06, P = 0.022). In the moderate-(overtaking) and high-risk (emergency collision avoidance) scenes, the tested parameters at baseline and post-2 h were statistically comparable. In the low-, moderate-, and high-risk scenes the tested parameters at baseline and post-4 h were statistically comparable. The total range of propofol was 120-280 mg.The mean blood concentration of propofol at post-2 h was 0.81 ± 0.40 µg/mL, and at post-4 h was below the limit of detection.

Conclusion
After endoscopy performed under propofol sedation, subjects’ driving abilities were completely restored at 4 h when tested on a simulator.
ALDH2 rs671 and MTHFR rs1801133 polymorphisms are risk factors for arteriosclerosis in multiple arteries
Authors: Cai Nan , Li Cunren , Gu Xianfang , Zeng Wenfeng , Liu Jingfeng , Zeng Guopeng , Zhong Jiawei , Zhu Junxing , Hong Haifeng 
Published: June 2023

Abstract
Background
Arteriosclerosis in multiple arteries has long been associated with heightened cardiovascular risk. Acetaldehyde dehydrogenase 2 (ALDH2) and methylenetetrahydrofolate reductase (MTHFR) play an important role in the pathogenesis of arteriosclerosis by participating in the oxidation and reduction reactions in vascular endothelial cells. The purpose was to investigate the relationship of ALDH2 and MTHFR gene polymorphisms with arteriosclerosis in multiple arteries.

Methods
410 patients with arteriosclerosis in single artery and 472 patients with arteriosclerosis in multiple arteries were included. The relationship between ALDH2 rs671 and MTHFR rs1801133 polymorphisms and arteriosclerosis in single artery and arteriosclerosis in multiple arteries was analyzed.

Results
The proportion of ALDH2 rs671 A allele (35.6% vs. 30.9%, P = 0.038) and MTHFR rs1801133 T allele (32.6% vs. 27.1%, P = 0.012) in patients with arteriosclerosis in multiple arteries was significantly higher than that in arteriosclerosis in single artery, respectively. The proportion of history of alcohol consumption in patients with ALDH2 rs671 G/G genotype was higher than those in ALDH2 rs671 G/A genotype and A/A genotype (P < 0.001). The results of logistic regression analysis indicated that ALDH2 rs671 A/A genotype (A/A vs. G/G: OR 1.996, 95% CI: 1.258–3.166, P = 0.003) and MTHFR rs1801133 T/T genotype (T/T vs. C/C: OR 1.943, 95% CI: 1.179–3.203, P = 0.009) may be independent risk factors for arteriosclerosis in multiple arteries (adjusted for age, sex, smoking, drinking, hypertension, and diabetes).

Conclusions
ALDH2 rs671 A/A and MTHFR rs1801133 T/T genotypes may be independent risk factors for arteriosclerosis in multiple arteries.
Different hydration methods for the prevention of contrast-induced nephropathy in patients with elective percutaneous coronary intervention: a retrospective study
Authors: Chen Fei , Lu Jingchao , Yang Xiuchun , Liu Demin , Wang Qian , Geng Xue , Xiao Bing , Zhang Jie , Liu Fan , Gu Guoqiang , Cui Wei 
Published: June 2023

Abstract
Background
Hydration is currently the main measure to prevent contrast-induced nephropathy (CIN). We aimed to compare the preventive effect of preprocedure and postprocedure hydration on CIN in patients with coronary heart disease undergoing elective percutaneous coronary intervention (PCI).

Methods
A retrospective study included 198 cases of postprocedure hydration and 396 cases of preprocedure hydration using propensity score matching. The incidence of CIN 48 h after PCI and adverse events within 30 days after contrast media exposure were compared between the two groups. Logistic regression analysis was used to analyse the risk factors for CIN.

Results
The incidence of CIN in the postprocedure hydration group was 3.54%, while that in the preprocedure hydration group was 4.8%. There was no significant difference between the two groups (p = 0.478). Multivariate logistic regression analysis showed that diabetes mellitus, baseline BNP and cystatin C levels, and contrast agent dosage were independent risk factors for CIN. There was no significant difference in the incidence of major adverse events between the two groups (3.03% vs. 2.02%, p = 0.830).

Conclusions
Postprocedure hydration is equally effective compared to preoperative hydration in the prevention of CIN in patients with coronary heart disease undergoing elective PCI.
What quantifies good primary care in the United States? A review of algorithms and metrics using real-world data
Authors: Wang Yun , Zheng Jianwei , Schneberk Todd , Ke Yu , Chan Alexandre , Hu Tao , Lam Jerika , Gutierrez Mary , Portillo Ivan , Wu Dan , Chang Chih-Hung , Qu Yang , Brown Lawrence , Nichol Michael B. 
Published: June 2023

AbstractPrimary care physicians (PCPs) play an indispensable role in providing comprehensive care and referring patients for specialty care and other medical services. As the COVID-19 outbreak disrupts patient access to care, understanding the quality of primary care is critical at this unprecedented moment to support patients with complex medical needs in the primary care setting and inform policymakers to redesign our primary care system. The traditional way of collecting information from patient surveys is time-consuming and costly, and novel data collection and analysis methods are needed. In this review paper, we describe the existing algorithms and metrics that use the real-world data to qualify and quantify primary care, including the identification of an individual’s likely PCP (identification of plurality provider and major provider), assessment of process quality (for example, appropriate-care-model composite measures), and continuity and regularity of care index (including the interval index, variance index and relative variance index), and highlight the strength and limitation of real world data from electronic health records (EHRs) and claims data in determining the quality of PCP care. The EHR audits facilitate assessing the quality of the workflow process and clinical appropriateness of primary care practices. With extensive and diverse records, administrative claims data can provide reliable information as it assesses primary care quality through coded information from different providers or networks. The use of EHRs and administrative claims data may be a cost-effective analytic strategy for evaluating the quality of primary care.