bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accelerating thermokarst lake changes on the Qinghai-Tibetan Plateau
Authors: Zhou Guanghao , Liu Wenhui , Xie Changwei , Zhang Qi , Li Qingpeng , Liu Guangyue , Li Qing , Luo Bingnan 
Published: July 2023

Abstract
As significant evidence of ice-rich permafrost degradation due to climate warming, thermokarst lake was developing and undergoing substantial changes. Thermokarst lake was an essential ecosystem component, which significantly impacted the global carbon cycle, hydrology process and the stability of the Qinghai-Tibet Engineering Corridor. In this paper, based on Sentinel-2 (2021) and Landsat (1988-2020) images, thermokarst lakes within a 5,000 m range along both sides of Qinghai-Tibet Highway (QTH) were extracted to analyse their spatio-temporal variations. The results showed that the number and area of thermokarst lake in 2021 were 3,965 and 4,038.6 ha (1 ha = 10,000 m2), with an average size of 1.0186 ha. Small thermokarst lakes (<1 ha) accounted for 85.65% of the entire lake count, and large thermokarst lakes (>10 ha) occupied for 44.92% of the whole lake area. In all sub-regions, the number of small lake far exceeds 75% of the total lake number in each sub-region. R1 sub-region (around Wudaoliang region) had the maximum number density of thermokarst lakes with 0.0071, and R6 sub-region (around Anduo region) had the minimum number density with 0.0032. Thermokarst lakes were mainly distributed within range of 4,300 m~5,000 m a.s.l. (94.27% and 97.13% of the total number and size), on flat terrain with slopes less than 3° (99.17% and 98.47% of the total number and surface) and in the north, south, and southeast aspects (47.06% and 32.99% of the total number and area). Thermokarst lakes were significantly developed in warm permafrost region with mean annual ground temperature (MAGT) > -1.5°C, accounting for 47.39% and 54.38% of the total count and coverage, respectively. From 1988 to 2020, in spite of shrinkage or even drain of small portion of thermokarst lake, there was a general expansion trend of thermokarst lake with increase in number of 195 (8.58%) and area of 1,160.19 ha (41.36%), which decreased during 1988-1995 (-702 each year and -706.27 ha/yr) and then increased during 1995-2020 (184.96-702 each year and 360.82 ha/yr). This significant expansion was attributed to ground ice melting as rising air temperature at a rate of 0.03~0.04℃/yr. Followed by the increasing precipitation (1.76~3.07 mm/yr) that accelerated the injection of water into the lake.
Sex-stratified patterns of emergency cardiovascular admissions prior and during the COVID-19 pandemic
Authors: Gajewski Piotr , Błaziak Mikołaj , Urban Szymon , Garus Mateusz , Braunschweig Freider , Caldeira Daniel , Gawor Antoni , Greenwood John P , Guzik Mateusz , Halfwerk Frank R , Iwanek Gracjan , Jarocki Michał , Jura Maksym , Krzystek-Korpacka Małgorzata , Lewandowski Łukasz , Lund Lars H. , Matysiak Michał , Pinto Fausto , Sleziak Jakub , Wietrzyk Weronika , Sokolski Mateusz , Biegus Jan , Ponikowski Piotr , Zymliński Robert 
Published: July 2023

Abstract
The COVID-19 pandemic has had a significant impact on global public health, with long-term consequences that are still largely unknown. This study aimed to assess the data regarding acute cardiovascular hospital admissions in five European centers before and during the pandemic. A multicenter, multinational observational registry was created, comparing admissions to the emergency departments (ED) during a 3-month period in 2020 (during the pandemic) with the corresponding period in 2019 (pre-pandemic). Data on patient demographics, COVID-19 test results, primary diagnosis, comorbidities, heart failure profile, medication use, and laboratory results were collected. A total of 8,778 patients were included in the analysis, with 4,447 patients in 2019 and 4,331 patients in 2020. The results showed significant differences in the distribution of cardiovascular diseases between the two years. The frequency of pulmonary embolism (PE) increased in 2020 compared to 2019, while acute heart failure (AHF) and other cardiovascular diseases decreased. The odds of PE incidence among hospitalized patients in 2020 were 1.316-fold greater than in 2019. The incidence of AHF was 50.83% less likely to be observed in 2020, and the odds for other cardiovascular diseases increased by 17.42% between the two years. Regarding acute coronary syndrome (ACS), the distribution of its types differed between 2019 and 2020, with an increase in the odds of ST-segment elevation myocardial infarction (STEMI) in 2020. Stratification based on sex revealed further insights. Among men, the incidence of AHF decreased in 2020, while other cardiovascular diseases increased. In women, only the incidence of STEMI showed a significant increase. When analyzing the influence of SARS-CoV-2 infection, COVID-positive patients had a higher incidence of PE compared to COVID-negative patients. COVID-positive patients with ACS also exhibited symptoms of heart failure more frequently than COVID-negative patients. These findings provide valuable information on the impact of the COVID-19 pandemic on acute cardiovascular hospital admissions. The increased incidence of PE and changes in the distribution of other cardiovascular diseases highlight the importance of monitoring and managing cardiovascular health during and post pandemic period. The differences observed between sexes emphasize the need for further research to understand potential sex-specific effects of COVID-19 on cardiovascular outcomes.
Decreased Max-value Entropy Search for Multi-fidelity Bayesian Optimization
Authors: Gong Zhuo , Wang Binglin , Duan Xiaojun , Chen Jiangtao , Yan Liang 
Published: July 2023

Abstract
Bayesian Optimization is a widely applied efficient framework for updating the surrogate model sequentially. To improve the efficiency, multi-fidelity Bayesian Optimization is developed to combine the information of samples in different fidelity levels. However, the multi-fidelity levels brings the challenge for sequential sampling. In multi-fidelity Bayesian Optimization, the sampling strategy is applied to determine not only the sample location but also the sample fidelity level for updating the model. To balance the benefit and the experiment cost, it is vital to measure the potential effect of each fidelity sample. Some sampling strategies, which is categorized as direct-type methods, can measure the potential effect of different samples in a easy way, but they cannot figure out the difference of samples that has little uncertainty and it has the risk for redundant sampling. Some other strategies, which is categorized as direct-type methods, can measure the potential effect appropriately, but the calculation of them are much complicated and time-consuming. In this paper, a new type method combining the direct-type and indirect-type methods is presented for measuring the potential effect of different fidelity sample. It is convenient enough and can avoid the problems occurring in the direct-type method. Based on this paradigm, a sampling strategy named decreased max-value entropy search(DMES) is proposed and applied in the multi-fidelity Bayesian Optimization framework. The characteristics of DMES and how it is different from direct-type method are detailed in some examples. Besides, two numerical experiments and one simulation experiment demonstrate the efficiency of DMES.
Knowledge, attitude, and practice of healthcare workers towards healthcare- associated infections in Jimma University Medical Center, southwestern Ethiopia: using structural equation model
Authors: Shacho Etagegn , Ambelu Argaw , Yilma Daniel 
Published: July 2023

Abstract

Background:
Healthcare-associated infections (HCAIs) are a common challenge faced in healthcare facilities, particularly in low and middle-income countries (LMICs). Evaluating the level of KAP among healthcare personnel regarding HCAI prevention and identifying the relevant factors is important for handling and controlling these infections. Therefore, this study aimed to know the direct and indirect effects of knowledge, attitude, and practices of HCWs towards HCAIs prevention in Jimma University medical center (JUMC).
Method:
The primary data was collected from the sampled health professionals. The total sample size was 262 from 1354 health professionals working in JUMC using the population proportion stratified random sampling method. An institutional cross-sectional study was conducted from March to April 2022. The data were collected using a self-administered questionnaire. Structural equation modeling (SEM) was used to identify the direct and indirect effects of KAP of HCWs on HCAIs.
Results:
The study shows that 55% (144 respondents) were nurses and 52.7% were female participants. The goodness of fit indices for the hypothetical model specification and selection proved that the model was appropriate to analyze the data. The study findings indicated that the standardized direct effects of HCW occupational skill in HCAIs prevention on knowledge and attitudes were significant effect (βosk=1.43, Posk=0.004 and βosa=0.65, Posa=0.004).Whereas HCWs’ practice on HCAIs had an effect (βosp=-0.79, Posp=0.004). The attitude of HCWs towards HCAIs prevention practice and knowledge were significant effect with p-value Pap=.002 and Pak=.003 respectively. On the other hand mediating effect showed that the attitude of HCWs toward their knowledge through practice towards HCAIs prevention was significant effects (γak=.426, Pak=.003). At the same time occupational skills of HCWs towards practice of HCAIs prevention through attitude was a significant effect (γosp=.523, Posp=.002).
Conclusion:
The study results indicated that both attitude and occupational skills can be improved through practice which finally brings a statistically significant improvement in the knowledge of HCWs about HCAIs prevention.
In vivo RNA interactome profiling reveals 3’UTR-processed small RNA targeting a central regulatory hub
Authors: Chao Yanjie , Liu Fang , Chen Ziying , Zhang Shuo , Wu Kejing , Bei Cheng , Wang Chuan 
Published: July 2023

Abstract
Small noncoding RNAs (sRNAs) are crucial regulators of gene expression in bacteria. Acting in concert with major RNA chaperones such as Hfq or ProQ, sRNAs directly base-pair with multiple target mRNAs, together forming a large and complex RNA-RNA interaction network. To systematically investigate the RNA-RNA interactome in living cells, we have developed a streamlined in vivo approach LiRIP-seq (LiRIP-seq, ligation RIP-seq). This generic approach is highly robust, illustrating the dynamic sRNA interactomes in Salmonella enterica across multiple stages of growth. Strikingly, we have identified the OmpD porin mRNA as a central regulatory hub that is targeted by more than a dozen sRNAs. These include a novel sRNA FadZ that is processed from the conserved 3’ UTR of fadBA mRNA by RNase E. Our results show that both ompDand its regulator FadZ are activated by the same transcription factor upstream, constituting a type I incoherent feed-forward loop in the fatty acid metabolism pathway. Altogether, we have established a novel approach to profile RNA-RNA interactomes in live cells, providing insights into the complexity of post-transcriptional regulatory hubs in RNA interaction networks.
Ears Wide Shut: A Complete Failure to Recognize Relevant Acoustic Stimuli
Authors: Stickgold Robert , Okamoto Cynthia , Hon Katrina , Denis Dan 
Published: July 2023

Abstract

The filtering out of apparently extraneous and redundant stimuli is critical for the effective processing of novel and relevant sensory information. But brain mechanisms that evolved to perform this function are necessarily less than perfect, in some cases failing to filter out irrelevant stimuli and in others filtering out important information. We report here on a stimulus from everyday life—the sound made by an arriving elevator, which contains information indicating the car’s direction of movement—that not one of over 1,100 study participants was aware of, despite encountering this information repeatedly throughout their lives. Evidence of implicit knowledge of this information was also absent, suggesting that this valuable information is filtered out at an early stage of sensory processing.
Colorimetric pH Sensitive Smart Film Based on Carrageenan Containing Quercetin or Eucalyptus Extract for Freshness Monitoring of Chicken Meat
Authors: Mirzaei Akbar , Jorshari Yashar Bina , Javanshir Shahrzad , Noori Milad , Mahdavi Mohammad 
Published: July 2023

Abstract
Utilizing natural flavonoid indicators in marine-derived biopolymers to develop new biomaterials for food packaging that provide information about the quality of food products can inform the customer about food safety and diminish food waste. Herein, two novel smart pH-sensitive hydrogel films composed of κ-carrageenan (CG) combined with quercetin (QUE) or eucalyptus leaf extract (ELE) were extended for freshness information of chicken meat at room temperature. As quality indicators, the color changes of the hydrogel films through colorimetric and UV-Vis spectroscopy at pH 1–12 and TVB-N (total volatile basic nitrogen) were investigated. The films’ transparency, mechanical, antibacterial activity, and morphology were investigated. The results showed that the CG film with 0.3% QUE performs best. The CG film containing QUE or ELE had good antibacterial activity and preserved and controlled the freshness of chicken meat. In the case of engaging CG films, they showed visible color changes in informing the freshness of the chicken. The comparison of the film containing QUE and the ELE states that the film containing the ELE had a greater effect in preventing chicken spoilage and revealed distinguished pH-responsive color changes.
Acute Stanford type A aortic dissection with the “giant R wave” electrocardiogram pattern: a case report
Authors: Su Tingting , Liu Zhaohui , Wu Dedi , Yang Yong 
Published: July 2023

Abstract

Background: Stanford type A aortic dissection (TAAD) is a life-threatening cardiovascular event with a significantly high mortality rate if not promptly treated. The “giant R wave” electrocardiogram(ECG) pattern is a dangerous ECG pattern associated with ST-elevation myocardial infarction (MI), most commonly involving occlusion of the left main coronary artery, which carries a high risk of cardiac arrest, cardiogenic shock, and ventricular fibrillation. The concurrence of acute TAAD and MI with the “giant R wave” ECG pattern is an extremely rare condition.
Case presentation: A 47-year-old male admitted to the emergency department (ED) with complaints of sudden severe pain behind the sternum, which was diagnosed as acute TAAD, with coronary artery involved, and the ECG shows "giant R wave" pattern accompanied by ST-segment elevation in I, aVL, V2-5 leads. The management should be aggressive with reperfusion via percutaneous intervention in order to race against time for subsequent surgery of TAAD. However, the patient’s condition rapidly deteriorated, presenting with cardiovascular events including cardiogenic shock and cardiac arrest. Despite prompt intervention, the patient unfortunately succumbed to his condition.
Conclusions: TAAD with coronary artery involvement is a dangerous condition with high mortality, TTE or computed tomography angiography are important examinations especially when patient with high D-dimer levels, they can help to reduce misdiagnosis. In such case, aggressive with reperfusion via percutaneous intervention to obtain stable vital signs, in order to race against time for subsequent surgery of TAAD maybe the first-line choice.
Proximate Composition of Vitex Doniana and Saba Comorensis Fruits
Authors: Charles Dominic , MGINA CLARENCE 
Published: July 2023

Abstract
The fruits of V. doniana and S. comorensis were randomly collected from Pwani and Tanga regions. Laboratory analysis was done using the methods described by the Association of Official Analytical Chemists AOAC (1995 and 2000). The amount of protein was 7.13 ± 0.04% and 21.73 ± 0.02% in V. doniana fruits while the fat contents were 2.4 ± 0.00% and 1.9 ± 0.10% in V. doniana fruits. The amount of fats in S. comorensis fruits ranged from 0.00–0.01% for the fruit samples from both Pwani and Tanga regions, however the differences was not statistically significant (P > 0.05). The amounts of carbohydrates in V. doniana 23.98 ± 0.20% and in S. comorensis fruit samples (23.81 ± 0.38%) from Pwani Region were not statistically difference. The differences can be attributed to environmental and soil factors. S. comorensis fruit samples from Tanga had ash 4.20 ± 0.01% and moisture content 70.97 ± 0.04%. These values were higher than those observed for S. comorensis fruit samples from Pwani. The amount of ash is indicative of potential elements like sodium and potassium which are beneficial in human health for the development of bones. These fruits have significant amounts of carbohydrate and protein and hence healthy for consumption as part of human diet.
Acute aortic syndrome risk stratification score: A new risk assessment tool
Authors: Fu Fengxia , Wang Xinyan , Shi Meng , Li Yong , Xiao Ziya , Xu Xin , Jing Liufang , Meng Fanliang 
Published: July 2023

AbstractBackground To construct a risk stratification score for acute aortic syndrome (AAS) with high predictive value for AAS. Methods Patients suspected of having AAS who visited the emergency department of the Affiliated Hospital of Jining Medical University between August 2019 and July 2022 were enrolled. The patients were divided into AAS and non-AAS groups according to the AAS diagnostic criteria. The independent risk factors for AAS were analyzed by binary logistic regression analysis, the AAS risk stratification score (AAS-RSS) was constructed, and a receiver operating characteristic (ROC) curve was drawn to evaluate the AAS-RSS. Results A total of 23 variables were effectively integrated into the AAS-RSS according to the size of the logistic regression analysisBvalue and were combined with the ADD-RS score. AAS-RSS and ADD-RS predicted that the areas under the AAS curve were 0.919(0.898 ~ 0.941) and 0.734 (0.694 ~ 0.773), respectively. Conclusions The AAS-RSS has high predictive value for risk stratification of AAS.
WITHDRAWN: Study on the Flexural Behavior of Ferro-Geopolymer Panels
Authors: radhakrishnan Sankaranarayanan , Soundarapandian Nagan 
Published: July 2023

Abstract
Ferro-Geopolymer (FG) panels, which combine wire mesh as the skeleton with geopolymer mortar as the matrix, have gained popularity in recent years. The goal of the current study is to determine how well FG panels function when hybrid fibres are included into the binder matrix, which gives the matrix a synergetic flexural behaviour. Steel and Poly-Vinyl Alcohol (PVA) fibres were utilized, with a maximum of 2% by the volume of mortar. Additionally, in place of the traditional Fly Ash (FA), Ground Granulated Blast Furnace Slag (GGBS) is used to make the binder matrix air set. The percentage of FA that was replaced with GGBS ranged from 10–100%, with a 10% increase. The geopolymer mortar used GGBS and fibres in various proportions. The compressive and flexural strengths of the geopolymer mortar with various proportions of GGBS and fibres were evaluated, and it was discovered that the geopolymer mortar with 40% of GGBS showed the best strength response. The above-optimal matrix mix and fibres were used to build the FG panels, which were evaluated under two-point loading. The hybrid fibre specimens, which contained 0.5 percent PVA fibre and 1.5 percent steel fibre, demonstrated improved stiffness, ductility, and load bearing ability.
Accelerated Failure Time (AFT) and Weighted Least Square Estimation (WLSE) With Five Different Underlying Distributions: A Model Comparison to the Application of Cancer Survival Data Analysis
Authors: Hasim Sherhana A. , Nads Azman A. , Jal-Usman Ebni A. 
Published: July 2023

Abstract
Survival data have been extensively analyzed using the parametric model. As cited in the literature in the statistical area of survival analysis, an alternative to the widely used cox proportional hazard (PH) model is the accelerated failure time (AFT) model, which is parametric model. If the model imposed distribution and homoscedasticity assumption are met, the AFT model is more effective and comprehensible than the cox PH model. However, most of the real datasets are heteroscedastic which violate the fundamental assumption. The weighted least square estimation (WLSE), a method that is just developed recently, is a semi-parametric methodology that can handle homoscedastic and heteroscedastic data. Furthermore, a valid inference can be obtained from the WLSE. In this paper, we used AFT with the application of WLSE method to a real dataset specifically on cancer data. The findings show that among the different distributions that were generated, the Weibull having the lowest AIC and BIC values, made the best fit of the model which further determine the factor associated on cancer data. With the use of homoscedasticity test, the data was found to be homoscedastic. The finding also show that, in case of homoscedastic data, the Weibull AFT outperformed in terms of generating more significant effects and more precise estimations of covariates effect than the WLSE method. Thus, it is recommended to use AFT model rather than the WLSE when the homoscedasticity assumption is met.
Climates and associated factors for evidence-based practice implementation among nurses: A cross-sectional study
Authors: Zhang Xinyue , Peng Mengting , He Mei , Du Meijie , Jiang Mengyao , Cui Mengying , Cai Yue , Yan Qi , Wang Ying 
Published: July 2023

Abstract
Background: The organizational climate that promotes and supports the implementation of evidence is one of the key factors affecting the effective implementation of evidence-based practice (EBP). As the largest group of medical staff, nurses are confirmed in implementing EBP. However, nurses’ perception of the climate for implementing EBP in their organizations is unknown, especially among the Chinese nurses.
Aims: To clarify the implementation climate of EBP among Chinese nurses and identify the associated factors for implementing and developing evidence-based nursing practices.
Methods: This study used a descriptive cross-sectional study design. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) was used to reporting the study. In March 2023, nurses (n=1260) from 2 Tertiary care hospitals in Central China were selected and surveyed by social-demographic questionnaire and Implementation Climate Scale (ICS). Multiple linear stepwise regression analysis was conducted to determine the predictors of implementation climate.
Results: The nurses’ mean score on ICS was 59.10±11.22 and the mean scores of each sub-dimension and item were more than 3 points. Satisfaction with current income, the unit having undertaken evidence-based nursing practice project(s), experience of evidence-based nursing practice during working life, and specific training or courses in evidence-based nursing practice were predictors of ICS.
Conclusion: The climate for implementing EBP in Chinese nursing organizations was relatively strong. Nursing managers can enhance the climate for implementing EBP in their organizations by actively improving salary and enhancing EBP-related trainings and practices.
Relevance to Clinical Practice: Understanding nurses’ perceptions of the EBP implementation climate in their organizations can help to identify specific barriers and facilitators to the development of EBP and facilitate its successful implementation.
Patient or Public Contribution: Clinical nurses were involved in data collection and completed the questionnaires on EBP implementation climate.