bluuebunny/crossref_metadata_2025_split huggingface dataset:
Residual Neuromuscular Block in HIV-Infected Young Patients: A Prospective Observational Study
Authors: hou Ruixue , wu Liangyu , liu Yadong , miao Fangfang , yin Cheng , wang Tianlong , cheng Hao 
Published: September 2021

Abstract
Objectives: Avoidance of residual neuromuscular blockade (RNMB) is crucial to decrease anesthesia-related pulmonary complications. At present, no data are available for HIV-infected patients about the occurrence of RNMB. In this trial, we aim to investigate the incidence of RNMB in such patients. Methods: Data were prospectively collected on 45 normal and 45 HIV-infected patients (18-65 yr). The train-of-four stimulation (TOF-Watch SX) was used to evaluate the level of neuromuscular block from the induction of anesthesia to back to the postanesthesia care unit (PACU) by an assessor, but blind to the anesthesiologist. Primary endpoint was the presence of RNMB at PACU admission, defined as a train-of-four (TOF) ratio < 0.9. The onset time (from application of cisatracurium to maximum depression of T1), no reaction time (from zero of T1 to non-zero), and clinical duration (from application to 25% recovery of T1) were determined for each patient. Results: The incidence of RNMB was 37.5% in HIV- infected patients and 32.5% in normal patients (difference, 5%; 99% CI, −16% to 26 1%; p=0.815). The onset time was no different between two groups (4.05±0.88 min in HIV-infected group vs. 3.85±1.08 min in normal group (p=0.37)). The no reaction time was also similarly between two groups ( 49.83±3.81min in HIV-infected group vs. 48.98±5.12min in normal group (p=0.40)). The clinical duration was 53.78±3.05 min and 52.40±5.02 min in HIV-infected group and normal group, respectively (p=0.14). Conclusion: The odds of RNMB were not significantly different in HIV-infected young patients compared to normal persons.
Maffucci Syndrome Complicated by Giant Chondrosarcoma in the Left Ankle with an IDH1 R132C Mutation: Case Report
Authors: Lv Haiyan , Jiang Hantao , Zhang Minge , Luo Huarong , Hong Zhenghua , Yang Hai , Xu Weiming , Shen Bo , Zhu Rangteng 
Published: September 2021

Abstract
Background: Maffucci syndrome is a rare, nonhereditary congenital mesodermal dysplasia characterized by multiple enchondromas and hemangiomas. It is associated with an increased risk of the development of malignant tumors. We present a case of 45-year-old man with Maffucci syndrome to supplement the clinical manifestations and explore the molecular mechanism of Maffucci syndrome.Results: The patient was underwent amputation surgery to inhibit tumor development and diagnosed as Maffucci syndrome with 1-2 grade giant chondrosarcoma in the left ankle. In addition, the whole exon analysis by Next Generation Sequencing revealed isocitrate dehydrogenase 1 R132C mutation in chondrosarcoma lesions but not in blood DNA. Conclusions: This case report presents the genetic evidence for the inclusion of chondrosarcoma among tumors characterizing Maffucci syndrome. Consequently, it is suggested that patients with Maffucci syndrome should be followed up more actively to exclude neoplasms due to IDH1 R132C somatic mutation.
Wind-SST Dipole Mode in the Caribbean and Gulf of Mexico: Large-Scale Features and Drivers
Authors: Rodríguez-Vera Geidy , Ribera Pedro , Romero-Centeno Rosario 
Published: September 2021

Abstract
The Dipole Mode (DM) is the leading pattern of springtime wind-SST coupled interannual variability in the Intra-Americas Seas, characterized by SST anomalies of opposite sign between the Caribbean Sea and the Gulf of Mexico. Using the standard deviation (STD) of the wind in a Maximum Correlation Analysis (MCA), this study aims to provide a more dynamic view of the role of the atmosphere in its coupling with the SST. The MCA reveals that the positive phase of the DM is associated with an increase in atmospheric instability, while the negative phase emerges under more stable atmospheric conditions. The DM is preceded by changes in the subtropical high-pressure belt during the previous winter, particularly in the North Atlantic Subtropical High (NASH), and reflects shifts in the latitudinal position of the subtropical jet stream. The DM positive phase tends to occur after an El Niño winter, under negative North Atlantic Oscillation (NAO) conditions. El Niño modulates the DM through a weakening in the meridional pressure gradient and a southward shift of the jet stream. A negative NAO implies a weaker NASH and, therefore, a more irregular circulation over the region. Both El Niño and negative NAO conditions favor the increase in wind STD during the DM positive phase, consistent with an increment in atmospheric disturbances. The DM negative phase responds more to a positive NAO in the previous winter, revealing a stronger NASH acting as an atmospheric block, which justifies the decrease in STD and a more stable circulation.
Meta-Analysis Reveals Consensus Genomic Regions Associated with Multiple Disease Resistance in Wheat ( Triticum Aestivum L.)
Authors: Saini Dinesh Kumar , Chahal Amneek , Pal Neeraj , Srivast Puja , Gupta Pushpendra Kumar 
Published: September 2021

Abstract
In wheat, meta-QTLs (MQTLs), and candidate genes (CGs) were identified for multiple disease resistance (MDR). For this purpose, information was collected from 58 studies for mapping QTLs for resistance to one or more of the five diseases. As many as 493 QTLs were available from these studies, which were distributed in five diseases as follows: septoria tritici blotch (STB) 126 QTLs; septoria nodorum blotch (SNB), 103; fusarium head blight (FHB), 184; karnal bunt (KB), 66, and loose smut (LS), 14. Of these 493 QTLs, only 291 QTLs could be projected onto a consensus genetic map, giving 63 MQTLs. The CI of the MQTLs ranged from 0.04 to 15.31 cM with an average of 3.09 cM per MQTL. This is a ~ 4.39 fold reduction from the CI of initial QTLs, which ranged from 0 to 197.6 cM, with a mean of 13.57 cM. Of 63 MQTLs, 60 were anchored to the reference physical map of wheat (the physical interval of these MQTLs ranged from 0.30 to 726.01 Mb with an average of 74.09 Mb). Thirty-eight (38) of these MQTLs were verified using marker-trait associations (MTAs) derived from genome-wide association studies. As many as 874 CGs were also identified which were further investigated for differential expression using data from five transcriptome studies, resulting in 194 differentially expressed genes (DEGs). Among the DEGs, 85 genes had functions previously reported to be associated with disease resistance. These results should prove useful for fine mapping of MDR genes and marker-assisted breeding.
Amplitude Modulation of Relative Humidity by Wind in Northeast China: the Formation of Variance Annual Cycle in Relative Humidity
Authors: Nian Da , Huang Yu , Fu Zuntao 
Published: September 2021

Abstract
Relative humidity has an important impact not only on climate change and ecosystems but also on human life. The intensity of high-frequency fluctuations in relative humidity over Northeast China shows a predominant seasonally dependent structure, which may be closely related to regional monsoon activities. However, the factors responsible for this phenomenon remain unknown. This study defines the Variance Annual Cycle (VAC) to describe this seasonally dependent intensity structure of high-frequency relative humidity fluctuations. Relative humidity VAC shows a high correlation with low-frequency oscillations of wind speed. We examine the instantaneous amplitude-phase correlation map and amplitude modulation (AM) index between relative humidity and wind speed. We find that the wind speed with a period around 140-420 days has a significant amplitude modulation effect on the relative humidity with a period around 2-90 days over most regions in Northeast China, which reveals that the low-frequency oscillations of wind speed amplitude- modulate on the high-frequency fluctuations of relative humidity. To explore the physical mechanism behind this modulation, we examine the monthly mean patterns of the atmospheric fields. The patterns indicate that this amplitude modulation is induced by the evolution and transition of East Asian winter monsoon and summer monsoon.
A New Approach For Smart Soil Erosion Modelling: Integration of Empirical And Machine Learning Models
Authors: Avand Mohammadtaghi , Mohammadi Maziar , Mirchooli Fahimeh , Kavian Ataollah , Tiefenbacher John P 
Published: September 2021

Abstract
Despite advances in artificial intelligence modelling, the lack of soil erosion data and other watershed information is still one of the important factors limiting soil-erosion modelling. Additionally, the limited number of parameters and the lack of evaluation criteria are major disadvantages of empirical soil-erosion models. To overcome these limitations, we introduce a new approach that integrates empirical and artificial intelligence models. Erosion-prone locations (erosion ≥16 tons/ha/year) are identified using RUSLE model and a soil-erosion map is prepared using random forest (RF), artificial neural network (ANN), classification tree analysis (CTA), and generalized linear model (GLM). This study uses 13 factors affecting soil erosion in the Talar watershed, Iran, to increase prediction accuracy. The results reveal that the RF model has the highest prediction performance (AUC=0.95, Kappa=0.87, Accuracy=0.93, and Bias=0.88), outperforming the three machine-learning models. The results show that slope angle, land use/land cover, elevation, and rainfall erosivity are the factors that contribute the most to soil erosion propensity in the watershed. Curvature and topography position index (TPI) were removed from the analysis due to multicollinearity with other factors. The results can be used to improve the identification of hot spots of soil erosion, especially in watersheds for which soil-erosion data are limited.
Prediction of Iranian EFL Teachers' Burnout Level Using Machine Learning Algorithms and Maslach Burnout Inventory
Authors: Dizaj Shima Baniadam , Dizaj Shahla Baniadam 
Published: September 2021

Abstract
Burnout is that the end result of excessive work-associated pressure and it is categorized through emotional, psychological, and bodily exhaustion. we can remember it as a cutting-edge epidemic withinside the coaching career likewise as distinct professions. The measures that could have an impact on a lecturer and may reason burnout are categorized as Depersonalization, Emotional Exhaustion, Personal Accomplishment. alevin though articles on educator burnout range of their approach, they incline to specialize withinside the reasons of burnout, the manner to evaluate the symptoms and symptoms of burnout, strategies to forestall burnout, and/or subsequent steps for administrators and teachers. The principal problem that has been incomprehensible is the prediction of acquiring burned out. Through prediction, we can reduce lower back the fees of the burnout effect on teachers, students, schools, and society and forestall its results like depression, coronary failure, or possibly suicide. Our goal is to investigate and are expecting the burnout stage in English as a faraway Language (EFL) instructor. we're going to use Maslach Burnout Inventory (MBI) to collect a dataset and stay the three subscales of instructor burnout: emotional exhaustion, depersonalization, and decreased non-public accomplishment. whilst studying the amassed dataset that consisted of 1433 teachers' data, nine system getting to know type algorithms through enforcing exploitation python programing language is implemented and accuracy is hired as an overall performance parameter.
Effect of Nicotiana benthamiana exposed to long- or short-chain perfluoroalkyl substances: Levels, transfer and potential risk analysis
Authors: Liu Huinian , Hu Wenli , Li Xin , Lu Sihui , Hu Fangwen , Liu Yanfen , Xie Tanghuan , Zhang Zhuang , Xi Yanni , Su Zhu , Zhang Chang 
Published: September 2021

Abstract
Background: Perfluoroalkyl substances (PFAS) can endanger human health through the food chain. However, the physiological mechanisms of crops exposed to PFAS are still unclear. Objectives: The physiology, phytotoxicity and accumulation of Solanaceae model crops Nicotiana benthamiana exposed to perfluorooctanoic acid (PFOA), hexafluoropropylene oxide-dimer acid (HFPO-DA) and their mixed contaminants have been studied. Results: (i) Biomass, relative electrical conductivity and catalase all decrease; (ii) Chlorophyll, peroxidase, hydrogen peroxide and malondialdehyde all increase; (iii) Superoxide dismutase and soluble sugar both increase and then decrease; (Ⅳ) The absorption and transport of K, Ca, Mg and Na are affected, particularly shoots; (V) PFOA has the highest toxicity and bioaccumulation. Conclusion: PFAS will damages the economic benefits of crops and people's health. So, its production and uses should be curtailed except for essential uses. Future direction: Substitute substances may be more harmful, so grouping strategies and evaluation framework should be established as soon as possible.
Identify Prognostic Factors and Establish a Risk Stratification Model to Predict Cancer-Specific Survival for Patients with Pancreatic Cancer Liver Metastasis: A Population-Based Study
Authors: Cao Biyang , Wu Chenchen , Zhang Letian , Wang Jing 
Published: September 2021

Abstract
Background

Pancreatic cancer liver metastasis (PCLM) is a commonly fatal disease, but there are few prognostic models for these entities. The purpose of this study is to investigate prognostic factors based on clinicopathological characteristics and establish a prognostic nomogram predicting the cancer-specific survival (CSS) for PCLM patients.
Methods

The characteristics of 6015 patients with PCLM between 2010 and 2015 from Surveillance, Epidemiology, and End Results (SEER) database were analyzed. Prognostic factors and nomogram predicting CSS were developed by Cox proportional hazard regression model. The predictive accuracy and discriminative ability of nomogram were assessed by concordance index (C-index), calibration curve, decision curve analyses (DCAs) and receiver operating characteristic (ROC) curve. Moreover, a risk classification system was built according to the cut-off values off the nomogram.
Results

Based on the univariate and multivariate Cox regression analysis, significant prognostic factors were identified and included to establish the nomogram for CSS. The median survival time (MST) for all patients is 4.0 months (95% confidence interval [CI]:3.8–4.2) and CSS at 6, 12 and 18 months was 34.12%, 15.63% and 7.83%, respectively. The C-index of nomogram was 0.693 (95%CI: 0.689–0.697) and all verification results showed an accurate and discriminative ability in predicting CSS. Significant differences in Kaplan–Meier curves were observed in patients stratified into different risk groups (p < 0.001), with MST of 7.0 months (95% CI: 6.7–7.3), 3.0 months (95% CI: 2.7–3.3), and 2.0 months (95% CI: 1.8–2.2), respectively.
Conclusions

A prognostic nomogram and corresponding risk classification system were proposed to predict CSS for PCLM.
Orbital angular momentum-driven anomalous Hall effect
Authors: Dowinton Oliver , Bahramy Mohammad 
Published: September 2021

Abstract
Orbital angular momentum (OAM) plays a central role in regulating the magnetic state of electrons in non-periodic systems such as atoms and molecules. In solids, on the other hand, OAM is usually quenched by the crystal field, and thus, has a negligible effect on magnetisation. Accordingly, it is generally neglected in discussions around band topology such as Berry curvature (BC) and intrinsic anomalous Hall conductivity (AHC). Here, we present a theoretical framework demonstrating that crystalline OAM can be directionally unquenched in transition metal oxides via energetic proximity of the conducting d electrons to the local magnetic moments. We show that this leads to `composite' Fermi-pockets with topologically non-trivial OAM textures. This enables a giant Berry curvature with an intrinsic non-monotonic AHC, even in collinearly-ordered spin states. We use this model to explain the origin of the giant AHC observed in the forced-ferromagnetic state of EuTiO3 and propose it as a prototype for OAM driven AHC.
The Correlation Analysis Between the Blood Lipids, Glycosylated Protein Level and Inflammatory Factors of Pregnant Women with GDM During Pregnancy and the Weight of Newborn
Authors: Hu Changhua , Wu Lirong , Fang Juan 
Published: September 2021

Abstract
The study was carried to explore the correlation between blood lipids, blood glucose levels, inflammatory factor and weight of newborn, to provide reference for control of blood glucose in pregnant women with gestational diabetes mellitus (GDM) and early screening of macrosomia. Fifty pregnant women (give birth to newborn) with GDM were selected as research group, and 55 normal pregnant women (give birth to newborn) as control group. Blood lipid levels of TC, TG, HDL-C, LDL-C, the fasting blood glucose (FPG), HbAlc, glycosylated albumin (GA), and expression of inflammatory factor TLR4 of pregnant women in the two groups were monitored. The levels of TG, FPG, HbA1c and GA in pregnant women, the levels of TLR4 in cord blood of newborn, the relative expression of TLR4 protein and TLR4mRNA in the placenta were higher than in control group, and level of HDL-C was lower than the control group. The levels of TC and LDL-C of pregnant women were higher than in control group. Weight of newborn was positively correlated with these all except HDL-C levels (negatively correlated) and no correlation was found with TC and LDL-C. The weight of newborn and incidence of macrosomia in research group were higher compared to control group, and scores of newborns at 1 min and 5 min were lower compared to control group. The results revealed that strengthening the detection of blood lipid and blood glucose during pregnancy can prevent adverse outcomes such as giant babies and improve the quality of birth.
The Prevalence of Scoliosis Screening Positive and its Influencing Factors: A School based Cross-sectional Study in Zhejiang Province, China
Authors: Zou Yan , Lin Yun , Meng Jia , Li Juanjuan , Gu Fang , Zhang Ronghua 
Published: September 2021

Abstract
Background: Early detection of scoliosis is of great significance to patients with scoliosis and the whole society. This paper aims to learn the prevalence of scoliosis screening positive among students in primary and secondary schools, and to explore the influencing factors. Methods: In 2019, a stratified cluster sampling technique was employed in this school based cross-sectional study. Sampling covers all prefecture level cities in Zhejiang Province. Based on the whole class, at least 80 students in each grade of primary school, junior high school and senior high school were selected. Physical examination and scoliosis screening were performed in the school-based investigation. Distribution of demographic characteristics and nutritional status of children and adolescents with scoliosis screening positive were explored. Results: A total of 45547 students were screened. The overall prevalence of children and adolescents with scoliosis screening positive were 3.9%. Higher prevalence of scoliosis screening positive was found in students living in urban area (4.1%), female students (4.1%), students with low weight (5.3%) (p < 0.05), and the prevalence increased with age (p < 0.05). In logistic analysis, we found age (OR=1.145), gender (OR=1.118) and low weight (OR=1.480) were the influencing factors for prevalence of scoliosis screening positive (p < 0.05). Conclusions: There were no disparities between living areas, but there was significant difference between genders, among different ages, and among different nutritional status of children and adolescents with or without scoliosis screening positive. In multi analysis, age, gender, and low weight were the influencing factors for prevalence of scoliosis screening positive. Age and gender specific scoliosis screening strategy and nutritional public health policies for children and adolescent are need.
Shared Decision-making in Healthcare in Mainland China: A Scoping Review Protocol
Authors: Li Xuejing , Zhao Junqiang , Zhang Xiaoyan , Meng Meiqi , Han Liu , Hao Yufang 
Published: September 2021

Abstract
Background: Shared decision-making (SDM) has been increasingly studied and applied to improve patients’ decision qualities and health outcomes. Little is known about its development status in mainland China. The Ottawa Decision Support Framework (ODSF) has been extensively used to guide clinicians and patients facing difficult healthcare decisions. It claims that decision quality can be improved though the implementation of decision support interventions that address patients’ decisional needs. Objective: Based on ODSF, the objective of the scoping review is to systematically map the existing research literature to answer the following three questions: 1) What healthcare decisional needs were examined within Chinese population? 2) What decision support interventions (SDM theories, tools, processes, implementation determinants) were used to address the healthcare decisional needs? and 3) What SDM outcomes were reported? Methods and analysis: We will conduct the scoping review following Arksey and O'Malley’ six-stage methodological framework. Seven databases: Ovid MEDLINE, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), EMBASE, China National Knowledge Infrastructure, Wan Fang Database, The VIP Database, and China Biology Medicine will be searched to identify relevant studies. Four reviewers will independently screen studies based on the eligibility criteria. The ODSF, as a guiding framework, will be used to develop the data extraction form and guide data analysis. All the retrieved information will be coded and mapped into the three key components of ODSF, namely decisional needs, decision support interventions, and decision outcomes. We will report our review findings following the Preferred Reporting Items for Systematic reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-ScR) reporting guidelines.Discussion: This study will be the first comprehensive and systematic review to understand the SDM research status in mainland China. The results of this review will help us to identify the gaps in current SDM research and inform future theoretical and empirical studies.Registration: Inplasy protocol 202130021. doi: 10.37766/inplasy2021.3.0021