bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of Soft Drink Intake With Cardiovascular Disease Mortality and Morbidity: A Large Prospective Cohort Study
Authors: Liu Dan , Zhang Peidong , Li Zhihao , Shen Dong , Zhang Xiru , Chen Peiliang , Huang Qingmei , Zhong Wenfang , Mao Chen 
Published: June 2021

Abstract
BackgroundThe associations of SSBs, ASBs and pure fruit/vegetable juices with CVD events have not been thoroughly evaluated. The present study determined the association of soft drinks with CVD and effects of the substitution of alternative beverages for soft drinks and the population-attributable fraction of CVD mortality due to soft drinks.MethodsA cohort study was performed using data from UK Biobank and 168007 participants (mean (SD) age, 55.6 (7.9) years) without CVD/cancer at baseline were eligible for this analysis. Dietary consumption of SSBs, ASBs and pure fruit/vegetable juices was self–reported via a 24–hour dietary questionnaire between 2009 and 2012 and followed up to 2018. ResultsDuring a median follow–up of 7.0-year, we recorded 5922 incident CVD cases and 884 CVD deaths. Multivariable adjusted analyses revealed that compared to non–consumers, participants who consumed >2.5 drinks/day had a higher risk of CVD mortality and incidence with HR (95% CI) of 1.63 (1.22–2.17) and 1.23 (1.09–1.39) for SSBs, and 1.77 (1.23–2.56) and 1.20 (1.02–1.42) for ASBs, respectively. Compared to non–consumers, moderate pure fruit/vegetable juice consumers (>0–2.5 drinks/day) have an 8% (2%–13%)–34% (16%–48%) lower risk for CVD incidence and mortality. There was a positive dose–response association of SSBs per 5% energy with CVD mortality and incidence with HR (95% CI) of 1.15 (1.17–1.25) and 1.06 (1.03–1.10), respectively. Substituting one drink/day of pure fruit/vegetable juice, un–sweetened tea/coffee for SSBs and ASBs was associated with 4%–24% lower risks for CVD mortality and incidence. A reduced SSB intake to below 5% energy may prevent 4% (1%–8%) of CVD mortality.ConclusionSSBs and ASBs was associated with a higher CVD mortality and morbidity. Pure fruit/vegetable juice and un–sweetened tea/coffee are suitable alternatives to SSBs and ASBs to reduce CVD risk.
Preparation and Performance of a Biological Dust Suppressant Based on the Synergistic Effect of Enzyme-Induced Carbonate Precipitation and Surfactant
Authors: Wu Mingyue , Hu Xiangming , Zhang Qian , Zhao Yanyun , Cheng Weimin , Xue Di 
Published: June 2021

Abstract
To control dust pollution caused by open-pit coal mining and reduce or avoid the secondary hazards of existing dust suppressants to the environment. A biological dust suppressant was prepared through the synergistic effect of surfactant and enzyme-induced carbonate precipitation. The optimal ratio of biological dust suppressant was determined, and the dust suppressive effect and dust-fixing mechanism of biological dust suppressant were studied. The results showed that when the concentration of alkyl glucoside (APG) was 0.3%, the concentration of urea-CaCl2 was 0.6 mol/L, and the volume ratio of urease to urea-CaCl2 was 1:3, the wind erosion resistance of coal dust was enhanced by 86.69%. The adsorption of biological dust suppressant and coal dust is mainly due to the electrostatic interaction between surfactant and coal dust. The mineralization product is calcite type CaCO3, and its can consolidate coal dust due to the formation of intermolecular hydrogen bonds between CaCO3 and coal dust.
DEAD-Box Helicase 27 Enhances Stem Cell-Like Properties With Poor Prognosis in Breast Cancer
Authors: Li Shan , Ma Jinfei , Zheng Ang , Song Xinyue , Chen Si , Jin Feng 
Published: June 2021

Abstract
Background
Although the rapid development of diagnosis and treatment has improved prognosis in early breast cancer, challenges from different therapy response remain due to breast cancer heterogeneity. DEAD-box helicase 27 (DDX27) had been proved to influence ribosome biogenesis and identified as a promoter in gastric and colorectal cancer associated with stem cell-like properties, while the impact of DDX27 on breast cancer prognosis and biological functions is unclear. We aimed to explore the influence of DDX27 on stem cell-like properties and prognosis in breast cancer.
Methods
The expression of DDX27 was evaluated in 24 pairs of fresh breast cancer and normal tissue by western blot. We conducted Immunohistochemical (IHC) staining in paraffin sections of 165 breast cancer patients to analyze the expression of DDX27 and its correlation to stemness biomarker. The Cancer Genome Atlas-Brest Cancer (TCGA-BRCA) and Kaplan-Meier survival analysis were used to investigate the expression of DDX27 in breast cancer and its implication on prognosis. Western blot, CCK-8 assay, Transwell assay and wound-healing assay were used to clarify the regulation of DDX27 on stem cell-like properties in breast cancer cells. Gene Set Enrichment Analysis (GSEA) was performed to analyze the potential molecular mechanisms of DDX27 in breast cancer.
Results
DDX27 was significantly high expressed in breast cancer compared with normal tissue. High expression of DDX27 was related to larger tumor size (p = 0.0005), positive lymph nodes (p = 0.0008), higher histological grade (p = 0.0040), higher ki-67 (p = 0.0063) and later TNM stage (p ༜ 0.0001). Patients with high DDX27 expression turned out worse prognosis on overall survival (OS, p = 0.0087) and disease-free survival (DFS, p = 0.0235). Overexpression of DDX27 could enhance the expression of biomarkers related to stemness and promote stem cell-like activities such as proliferation and migration in breast cancer cells.
Conclusion
DDX27 can enhance stem cell-like properties and cause poor prognosis in breast cancer, also may be expected to become a potential biomarker for breast cancer therapy.
The Forecasting of Renewable Energy Generation for Turkey by Artificial Neural Networks and a Auto-Regressive Integrated Moving-Average Model -2023 Generation Targets by Renewable Energy Resources
Authors: albayrak özlem karadag 
Published: June 2021

Abstract
Turkey attaches particular importance to energy generation by renewable energy sources in order to remove negative economic, environmental and social effects caused by fossil resources in energy generation. Renewable energy sources are domestic and do not have any negative effect, such as external dependence in energy and greenhouse gas, caused by fossil resources and which constitute a threat for sustainable economic development. In this respect, the prediction of energy amount to be generated by Renewable Energy (RES) is highly important for Turkey. In this study, a generation forecasting was carried out by Artificial Neural Networks (ANN) and Autoregressive Integrated Moving Average (ARIMA) methods by utilising the renewable energy generation data between 1965-2019. While it was predicted by ANN that 127.516 TWh energy would be generated in 2023, this amount was estimated to be 45.457 TeraWatt Hour (TWh) by ARIMA (1.1.6) model. The Mean Absolute Percentage Error (MAPE) was calculated in order to specify the error margin of the forecasting models. This value was determined to be 13.1% by ANN model and 21.9% by ARIMA model. These results suggested that the ANN model provided a more accurate result. It is considered that the conclusions achieved in this study will be useful in energy planning and management.
Collaborative Identification and Prioritisation of Mental Health Nursing Care Process Metrics and Indicators: A Delphi Consensus Study
Authors: Hunter Andrew , Barrett Nora , Gallen Anne , Conway Gillian , Brennan Anne , Giltenane Martina , Murphy Louise 
Published: June 2021

Abstract
Background
The Irish Office of Nursing & Midwifery Services Director (ONMSD) commissioned the development an updated suite of mental health nursing metrics and indicators for implementation in Irish mental health clinical settings. While measuring care processes does offer the potential to improve care quality, the choice of which mental health nursing metrics to measure presents a significant challenge, both in Ireland and internationally. The provision of safe and high-quality mental health nursing care stems from nurses’ expertise, skills and overall capacity to provide recovery focused care across a range of health care settings. Accordingly, efforts to measure what mental health nurses do depends on the identification of those care processes that contribute to mental health nursing practice. This paper reports on the identification, development and prioritisation of a national suite of Quality Care Metrics (QCM), along with their associated indicators, for mental health nursing care processes in Ireland.
Methods
The study was undertaken over four phases; i) a systematic literature review to identify mental health care process metrics and their associated indicators of measurement; ii) a two-round, online Delphi survey of mental health nurses to develop consensus on the suit of mental health nursing care process metrics; iii) a two-round online Delphi survey of mental health nurses to develop consensus on the indicators to be used to measure the agreed metrics; and iv) a face-to-face consensus meeting with mental health nurses and service user representatives to develop consensus on the final suite of metrics and indicators.
Results
Following these four phases 9 metrics and their 73 associated indicators were agreed for inclusion in the final suite of Mental Health Nursing QCM. These metrics are applicable across the life span and the range of mental health nursing health care settings.
Conclusion
The development of this suite of Mental Health Nursing QCM and their indicators represents an opportunity for the measurement of safe and high-quality mental health nursing care for application in Ireland and internationally. This initial development of metrics and indicators should be followed by a rigorous baseline review of QCM uptake and implementation amongst mental health nurses as part of an ongoing evaluation.
Does Climate Change Asymmetrically Affect Rice Productivity In India? New Insight From NARDL Cointegration Approach
Authors: Baig Imran Ali , Chandio Abbas Ali , Salam Md. Abdus 
Published: June 2021

Abstract
This article attempt to answer the question "whether the dynamic relationship between climate change and rice productivity is symmetrical or asymmetrical" using data from 1990-2017 in India. First, we test the symmetrical and long-run dynamic relationship using the Autoregressive Distributed Lags (ARDL) model and test the asymmetrical and cointegration relationship based on Nonlinear Auto-Regressive Distributed Lag (NARDL) technique. The results of the ARDL model indicates that no symmetrical relationship between the variables in long-run. Whereas outcomes of the NARDL bound test reveal that there is long-run asymmetrical impact of climate change on rice productivity. The positive and negative shock of climate change has affected the rice productivity by different magnitude in India. The Wald statistics confirm asymmetric relationship between rice productivity and climate change in the long-run while only short-run asymmetrical relationships exist between rainfall and rice productivity in India.Furthermore, dynamic multipliers indicate that negative component of rainfall and temperature has a dominant effect over the positive component on rice productivity. To the best of the author's knowledge, no studies have been done to assess both symmetrical and asymmetrical dynamic relationships between climate change and rice productivity using ARDL and NARDL cointegration approaches in India's context. This study will help frame the environmental policies and strategy to cope with climate change in India's agriculture productivity.
Improve The Effective Resonance Light Scattering Of Three-Layered Plasmonic Au@Dielectric@Ag Bimetallic Nanoshells
Authors: Zhu Jian , Zhao Shu-min 
Published: June 2021

Abstract
The strong light scattering from SPR has received an extraordinary attention due to the useful applications in photodetectors, cell and biomedical imaging. However, the applications using light scattering require a high scattering cross-section along with low absorption losses near the resonance wavelength. In this paper, effective plasmonic scattering of three-layered Au-Ag bimetallic nanoshells with a dielectric separate layer has been studied using the quasi-static approximation of classical electrodynamics. Because of the surface plasmon resonance (SPR)-induced intense light absorption, the effective scattering intensity is much weaker than that of scattering cross section. However, the effective scattering intensity could be improved by tuning the geometric dimension and local dielectric environment of the nanostructure. It has been found that the greatest effective scattering takes place when the outer Ag nanoshell has a thick thickness or the dielectric separate layer has a small dielectric constant. The effective scattering also depends on the inner Au sphere radius and outer surrounding dielectric constant. Because of the mode transformation of the SPR, the effective scattering could also be greatly improved when the inner Au sphere has a very small or large size. However, the effective scattering intensity changes non-monotonously as the surrounding dielectric constant increases. The greatest effective scattering could be obtained when the surrounding dielectric constant has an intermediate value. This tunable effective plasmonic scattering of Au@Ag three-layered nanoshells presents a potential for design and fabrication of plasmonic optical nanodevice based on resonance light scattering.
Effect of the COVID-19 Outbreak and Lockdown on Mental Health Among Post-Secondary Students in the Grand Est Region of France: Results of the PIMS-Cov19 Study
Authors: Baumann Cédric , Rousseau Hélène , Tarquinio Cyril , Batt Martine , Tarquinio Pascale , Lebreuilly Romain , Sorsana Christine , Legrand Karine , Guillemin Francis , Bourion-Bédès Stéphanie 
Published: June 2021

Abstract
Background. The COVID-19 epidemic has sent billions of students into lockdown in the world. This study sought to assess the prevalence of impaired self-perceived mental health and identify associated factors among French post-secondary students during the lockdown.Methods. A cross-sectional study was conducted among French students living in the Grand Est area in France from May 7 to 17, 2020 during the first lockdown. An online survey was used to collect sociodemographic data, learning and teaching conditions, living conditions, and exposure to COVID-19, and self-perceived mental health was assessed with mental composite score (MCS) of the SF-12. Results. Overall, 4,018 were analyzed. Most participants were female (70.7%), and the mean age was 21.7 years (SD 4.0). The mean MCS score was 44.5 (SD 17.3). Impaired mental health, defined by a MCS<1rst Quartile, was mainly associated with female sex; decreased time for learning; not having access to the outside with a garden, a terrace or a balcony; difficulties with the living situation and having someone in the home affected by the SARS-COV2 requiring hospitalization or not. Conclusion. This study showed that living conditions during lockdown had a clear impact on the mental health of French post-secondary students. There is a need to improve prevention and to access distance education as well as an urgent need for measures to develop healthy coping strategies for students. This is a major challenge to prevent these disorders from developing into true psychiatric illnesses.
Identification of proteins involved in response to cold stress and genome-wide identification and analysis of the APX gene family in winter rapeseed (Brassica rapa L.)
Authors: Ma Li , Bai Jing , Xu Jia , Qi Weiliang , Li Haiyun , Fang Yan , Xu Yaozhao , Zeng Xiucun , Pu Yuanyuan , Wang Wangtian , Liu Lijun , Li Xuecai , Sun Wancang , Wu Junyan 
Published: June 2021

Abstract
Winter Brassica rapa is an important oilseed crop in northern China, but the mechanism of its cold resistance remains unclear. APX plays important roles in response of this plant to abiotic stress and in scavenging free radicals. In this study, 59 DEPs were isolated and identified from winter B. rapa and B. napus using bidirectional electrophoresis, and APX was found to be differentially expressed in these two species. Therefore, the roles of APX proteins in the cold response and superoxide metabolism pathways in both rapeseed species were further investigated. And comprehensive analysis of phylogeny, chromosome distribution, motif identification, sequence structure, gene duplication, and RNA-seq expression profile in APX gene family. Most of the BrAPX genes were specifically expressed under low temperature stress and behaved significantly differently in cold-tolerant and cold-sensitive varieties. qPCR was also used to verify the differences in expression between these two varieties under cold, freezing, drought and heat stress, and these candidate genes and proteins may play important roles in the response of B. rapa to low temperature stress and provide new information for the elucidation of the cold resistance mechanism in B. rapa.
Developing an Algorithm for the Application of Bayesian Method to Software Using Artificial Immune Systems
Authors: Mahmudova Shafagat 
Published: June 2021

Abstract
This study provides information on artificial immune systems. The artificial
immune system is an adaptive computational system that uses models,
principles, mechanisms and functions to describe and solve the problems in
theoretical immunology. Its application in various fields of science is explored.
The theory of natural immune systems and the key features and algorithms of
artificial immune system are analyzed. The advantages and disadvantages of
protection systems based on artificial immune systems are shown. The methods
for malicious software detection are studied. Some works in the field of artificial
immune systems are analyzed, and the problems to be solved are identified.
A new algorithm is developed for the application of Bayesian method in
software using artificial immune systems, and experiments are implemented.
The results of the experiment are estimated to be good. The advantages and
disadvantages of AIS were shown. To eliminate the disadvantages, perfect
AISs should be developed to enable the software more efficient and effective.
Pre-Crystallization Criteria and Triple Crystallization Kinetic Parameters of Amorphous-Crystalline Phase Transition of As40S45Se15 Alloy
Authors: Alzaid Meshal , Salam mohamed N. Abd-el , Qasem Ammar , Shaaban E. R. , Hadia N. M.A. 
Published: June 2021

Abstract
This framework focuses mainly on a detailed study of the pre-crystallization criteria that characterize the As40S45Se15 glassy alloy in various heating rates ranging from 5 to 40 (K/min.) by DSC thermo-grams in the range of (300-575 K). These criteria aim to clarify the relationship of the tendency of glass-forming by the heating rate for the investigated glassy alloy. As well, the present framework demonstrates the criteria of thermal stability. Continuously, the various nucleation and growth pathways. The transformation in activation energy with the volume of the crystalline portion was deduced and, through this, we were able to determine the surface resistance of the analyzed bulk alloy in the crystallization region. The crystalline structure of the study sample was recognized by X-ray diffraction (XRD) and electron scanning microscope (SEM).
The Saudi Critical Care Society Practice Guidelines on the Management of COVID-19 in the ICU: Therapy Section
Authors: Alhazzani Waleed , Alshahrani Mohammed , Alshamsi Fayez , Aljuhani Ohoud , Eljaaly Khalid , Hashim Samaher , Alqahtani Rakan , Alsaleh Doaa , Duhailib Zainab Al , Algethamy Haifa , Al-Musawi Tariq , Alshammari Thamir , Alqarni Abdullah , Khoujah Danya , Tashkandi Wail , Dahhan Talal , Almutairi Najla , Alserehi Haleema A. , Al-Yahya Maytha , Al-Judaibi Bandar , Arabi Yaseen M , Abualenain Jameel , Alotaibi Jawaher M. , Albshabshe Ali , Alharbi Reham , Al-Hameed Fahad , Elhazmi Alyaa , Almaghrabi Reem S. , Almaghlouth Fatma , Abedalthagafi Malak , Khathlan Noor Al , Al-Suwaidan Faisal A. , Bunyan Reem F. , Baw Bandar , Alghamdi Ghassan , Hazmi Manal Al , Mandourah Yasser , Assiri Abdullah , Enani Mushira , Alawi Maha , Aljindan Reem , Aljabbary Ahmed , Alrbiaan Abdullah , Algurashi Fahd , Alsaawi Abdulmohsen , Alenazi Thamer H. , Alsultan Mohammed A. , Alqahtani Saleh A. , Memish Ziad , Al-Tawfiq Jaffar A. , Al-Jedai Ahmed 
Published: June 2021

Abstract
BackgroundThe rapid increase in coronavirus disease 2019 (COVID-19) cases during the subsequent waves in Saudi Arabia and other countries prompted the Saudi Critical Care Society (SCCS) to put together a panel of experts to issue evidence-based recommendations for the management of COVID-19 in the intensive care unit (ICU).MethodsThe SCCS COVID-19 panel included 51 experts with expertise in critical care, respirology, infectious disease, epidemiology, emergency medicine, clinical pharmacy, nursing, respiratory therapy, methodology, and health policy. All members completed an electronic conflict of interest disclosure form. The panel addressed 9 questions that are related to the therapy of COVID-19 in the ICU. We identified relevant systematic reviews and clinical trials, then used the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach as well as the evidence-to-decision framework (EtD) to assess the quality of evidence and generate recommendations.ResultsThe SCCS COVID-19 panel issued 12 recommendations on pharmacotherapeutic interventions (immunomodulators, antiviral agents, and anticoagulants) for severe and critical COVID-19, of which 3 were strong recommendations and 9 were weak recommendations. ConclusionThe SCCS COVID-19 panel used the GRADE approach to formulate recommendations on therapy for COVID-19 in the ICU. The EtD framework allows adaptation of these recommendations in different contexts. The SCCS guideline committee will update recommendations as new evidence becomes available.