bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Nursing Guidelines on First-year Nursing Students' Knowledge and Reported practice Towards Sensory Impairments among Elderly
Authors: Abdelnasser Nadia , Abdelaziz Saieda Abd Elhameed , El-Gamal Sara Mohamed Ahmed 
Published: April 2022

Abstract
Background: Sensory impairments are more common among older adults. In addition to its consequences on activities of daily livings and communication with others. It has remained major public health issues throughout the whole world. The study aimed to assess effect of nursing guidelines on first-year nursing students' knowledge and reported practice towards sensory impairment among elderly. Method: A quasi-experimental (Pre- post-test) research design was utilized in this study, and it was carried out at three faculties of nursing affiliated to the following Universities; Assiut, South Valley and Tanta. A purposive sample (531) of the first-year nursing students in the three previous mentioned faculties were concluded. The study was conducted in four phases; Assessment, Nursing guidelines development, An nursing guidelines implementation, and Post-test after one month. Online questionnaire was developed by the researchers includes three parts to collect the required data. Student t-tests and ANOVA test were used to compare means. For qualitative data, comparison was done using chi-square. Pearson correlation coefficient was used for detecting the relations between continuous variables of the study. A significant was adopted at P value < 0.05 for interpretation of results of significance. Results: There is a statistically significant differences between the studied subjects means score knowledge and reported practice about the five senses among elderly in the pre- and the post-tests, (P = 0.001).Conclusion: The levels of the first-year nursing students’ knowledge and reported practice of the studied sample in the previous mentioned three universities towards sensory impairment among elderly were improved after implementation of the nursing guidelines.
Single-cell RNA sequencing reveals the tissue-specific immune signatures of lung cancer with COPD overlapped
Authors: Meng Heng , Chang Jiwei , Wang# Bo , Geng Boxin , He Ruyuan , Hao Bo , Lin Weichen , Song Congkuan , Li Ning , Geng Qing 
Published: April 2022

Abstract
COPD is one of the high-risk factors for lung cancer, but the underlying mechanism is still unclear. Here, we performed single-cell RNA sequencing analysis on three COPD tissues, and three COPD-based lung cancer tissue (LCCOPD), and enrolled the scRNA-seq data of normal lung tissues, COPD tissues, lung cancer tissues, and LCCOPD tissues from the public database. We found that most immune cell types were significantly enriched in COPD groups, and the LCCOPD showed a differential enrichment of T-regs and macrophage subtypes in comparison with COPD. FOXP3 mRNA expression was significantly increased in LCOPD-related T-regs and positively associated with CTLA-4 and PD-1 to form an immunosuppressive environment. Macrophages from different pathological environments show significant differences in cell composition, pseudo-time trajectories, and phenotypic dominance. COPD-related macrophages were dominated by M1-type with increased cell proliferation. LCCOPD-related macrophages, dominated by M2-type and tumor-associated macrophages, had progressively enhanced immune population chemotaxis along the trajectory. Based on the public data, we found the overlap of COPD accelerated infiltration of T-regs and M2 macrophages. Several metabolic and cytokine pathways were down-regulated in COPD tissues and up-regulated in LCCOPD groups, such as the SREBP pathway, IL2, IFN-γ, glycolysis, and glutamine metabolism. Our study provided an extensive description of lung cancer overlapping COPD and revealed the association between COPD status and the formation of an immunosuppressive environment, which elucidates the role of COPD, as a high-risk factor, in the development of lung cancer.
Clinical Effectiveness of Perioperative EPO combine with Iron sucrose Treatment in Total Knee Arthroplasty Surgery：Not blinded， prospective randomized clinical trial of efficacy and safety
Authors: Lu Jun , Yusufu Yalikun , Ren Ke , Li Yong gang , Wang Chen 
Published: April 2022

Abstract
Trial design: This study prospectively analyzes the effect of EPO combined with Iron sucrose on postoperative anemia prevention and prognosis of patients with TKA. Methods: Participants in this study will be randomly assigned to a treatment group or control group. Patients in the treatment group will receive EPO for ten days combined with iron sucrose injection for three days preoperative. The general data, hematological indexes, transfusion rate, total blood loss, and knee joint function score will be analyzed. Results: 92 patients met the inclusion criteria, including 46 patients in the treatment group and 46 in the control group. There were no significant statistical differences in descriptive characteristics of the population between the two groups. The results indicated that the anemic rate of the treatment group was significantly lower than the control group after treatment (67.4%vs93.5%, P=0.001). The hematological index also has a significant difference in the two groups, such as Postoperative Hb, RBC count, Hct. The treatment group, perioperative blood loss, was significantly lower than the control group (587.69±340.81ml vs. 812.72±329.7ml, P=0.002). The treatment group showed a better HSS score and WOMAC score (HSS score: P=0.007; WOMAC score: P=0.001), HSS score improved 3.37 points, and WOMAC scores improved 12.08 points after the operation than the control group. No postoperative blood transfusion and postoperative complications occurred in the study period. Conclusions: According to our study, we found that perioperative treatment of erythrocyte mobilization in patients with TKA can improve postoperative hemoglobin level, reduce postoperative total blood loss, and reduce postoperative anemic rate without increased drug costs on the hospitalization expenses. Patients who receive erythrocyte mobilization treatment can significantly accelerate erythropoiesis after surgery and promote the hemoglobin level to normal more quickly. The patients after treatment show an advantage in HSS score and WOMAC score.
Multi-View Substructure Learning for Drug-Drug Interaction Prediction
Authors: Li Zimeng , Zhu Shichao , Shao Bin , Liu Tie-Yan , Zeng Xiangxiang , Wang Tong 
Published: April 2022

Abstract
Drug-drug interaction (DDI) prediction provides a drug combination strategy for systemically effective treatment. Previous studies usually model drug information constrained on a single view such as the drug itself, leading to incomplete and noisy information, which limits the accuracy of DDI prediction. In this work, we propose a novel multi-view drug substructure network for DDI prediction (“MSN-DDI”), which learns chemical substructures from both the representations of the single drug (“intra-view”) and the drug pair (“inter-view”) simultaneously and utilizes the substructures to update the drug representation iteratively. Comprehensive evaluations demonstrate that MSN-DDI has almost solved DDI prediction for existing drugs by achieving a relatively improved accuracy of 19.32% and an over 99% accuracy under the transductive setting. More importantly, MSN-DDI exhibits better generalization ability to unseen drugs with a relatively improved accuracy of 7.07% under more challenging inductive scenarios. Finally, MSN-DDI improves prediction performance for real-world DDI applications to new drugs.
Effects of rainfall and land use on river nutrient dynamics in the Brazilian semiarid region
Authors: Freire Letícia Lacerda , Costa Alexandre Cunha , Neto Iran Eduardo Lima 
Published: April 2022

Abstract
This paper investigated the effects of rainfall and land use on the dynamics of total phosphorus (TP) and total inorganic nitrogen (TIN) in the Brazilian semiarid region. The study covered eleven watersheds within an area of 142,381 km². TP and TIN were monitored between 2013 and 2018 at 92 river water quality monitoring sites. The monthly rainfall (Rn) was obtained from 575 rain gauges. Pearson’s correlation (R) between Rn and nutrient concentration was performed. The correlation patterns were also analysed based on land use data: urban area (%), agricultural field area (%), demographic density (inhabitants/km²), sewer system coverage (%), and reservoir density (reservoir/km²). Backward stepwise regression was carried out to identify predictors of nutrient concentrations. The results revealed that in watersheds with high demographic density, the rainfall is not the most influential factor in the concentration of nutrients (marginal effect). However, in regions with greater accumulated rainfall and lower reservoir density, the rainfall was related to a linear increase in nutrient concentrations (positive effect) (R > 0.8). On the other hand, in watersheds with less accumulated rainfall and greater inter-basin hydrological disconnection due to a high-density reservoir network, there was a linear decrease in nutrient concentration (inverse effect) (R<-0.5). In the backward stepwise regression, sewer system coverage and Rn had the greatest influence on TP, and the urban area was the strongest predictor of TIN. These findings provide valuable information for water quality management in drylands with strong human-induced impacts, similar to the Brazilian semiarid region.
Concentration of mercury in human hair and its associated factors in residents of the Gulf of Trieste (North-Eastern Italy)
Authors: Cegolon Luca , Petranich Elisa , Pavoni Elena , Floreani Federico , Barago Nicolò , Papassissa Elisa , Filon Francesca Larese , Covelli Stefano 
Published: April 2022

Abstract
The Gulf of Trieste (Northern Adriatic Sea, Italy) is the coastal area of the Mediterranean Sea most highly contaminated by mercury (Hg) due to fluvial inputs from the Isonzo/Soča River system, draining over 500 years’ worth of cinnabar extraction activity from the Idrija mining district (Western Slovenia). The aim of this research is to investigate the concentration of Hg in hair samples taken from participants from the general population from the coast of the Friuli Venezia Giulia Region (FVG), as a marker of chronic exposure to Hg.Three hundred and one individuals - 119 males and 182 females - were recruited by convenience sampling in Trieste in September 2021. An amount of approximately 100 mg of hair was collected from the occipital scalp of each participant to measure the respective Hg concentrations (expressed as mg/kg). Moreover, participants completed a self-report questionnaire collecting extensive socio-demographic and life-style information. A multiple linear regression analysis was performed to investigate the relationships among Hg concentrations in hair and several factors potentially related to an increase in the Hg content of hair.A mean Hg concentration in hair of 1.63 mg/kg was found, slightly above the 1.0 mg/kg threshold recommended by the WHO, although still well below the no observed adverse effects level (NOAEL) of 10 mg/kg. Among respondents, 55.6% showed a Hg concentration in hair > 1 mg/kg, 22.9% > 2 mg/kg and 2 participants exhibited Hg levels >10 mg/kg. Factors associated with higher concentrations of Hg in hair were male sex, ingestion of > 4 servings of fish per month and preferred consumption of small/medium size fish or shell/crayfish/molluscs. Conversely, ingestion of frozen fish represents a protective factor.Though a risk alert for Hg exposure for coastal residents from FVG is deemed unnecessary at this time, it is recommended that pregnant women limit their ingestion of locally caught fish to < 4 servings/month.
A Study of Talent Perceptions in Classroom Activities: in Select Iraqi Primary School Instructors
Authors: Jalil Ahmed , MAHDI WISAM ABDUL , Basim Dhafar 
Published: April 2022

Abstract
This study aims to investigate elementary school academics` perceptions of precociousness and their experiences of operating with gifted children in their regular classes. this is often an exploratory study with thirteen teachers and the information were collected through semi-structured interviews. Our participants cared-for represent giftedness with a stress on the intellectual traits of gifted learners and to regulate their pedagogic approach accordingly. Their assessment practices targeted basically on product-oriented approaches rather than process-oriented approaches. Our findings counsel that there's still a long way to go, particularly in terms of formal teacher training, to tailor teaching to the wants and characteristics of precocious learners.
Identify Multiple Seeds for Influence Maximization by Statistical Physics Approach and Multi-hop Coverage
Authors: Liao Fuxuan , Hayashi Yukio 
Published: April 2022

Abstract
Finding the influential nodes as seeds in a real network is an important problem which relates to wide applications. However, some conventional heuristic methods do not consider the overlap phenomenon. In order to avoid the overlap of spreading, we propose a new method in combing the statistical physics approach and multi-hop coverage. We also propose a faster epidemic model which does not need the averaging of stochastic behavior. Through the computer simulation, the obtained results show that our method can outperforms other conventional methods in the meaning of stronger spreading power per seed.
Image defogging based on Multi-input and Multi-scale UNet
Authors: Lin Zhengchun , Luo Qingxing , Jiang Yunzhi , Wang Jing , Li Siyuan , Cheng Gongwen , Zheng genrang 
Published: April 2022

Abstract
The coarse-to-fine image defogging strategy has been widely used in the structural design of individual image defogging networks. In the traditional method, multi-scale input image subnets are superimposed, so that the sharpness of the image is gradually improved from the bottom subnet to the top subnet, which inevitably leads to the loss of image details. Toward a fast and accurate dehazing network design, we revisit the coarse-to-fine strategy and present a multi-input and multi-scale U-Net (MIMS-UNet). The MIMS-UNet has two distinct features. On the one hand, the single-encoder of MIMS-UNet adopts multi-input and multi-scale image, which increases the computation amount but greatly improves the network performance. On the other hand, codec structures with context blocks are used to capture context information and recover more details. The experimental results show that the proposed method achieves good results in both quantification and visualization. Compared with the existing methods, the proposed network can achieve ideal results of defogging and effectively avoid color distortion after defogging.
Musculoskeletal ultrasound to evaluate the effect of suspension rope training combined with Mulligan technique on nonspecific low back pain: a single-blind randomized controlled trial
Authors: Zhang Di , Wang Cong , Zhang Wen-dong , Zhang Yu , Zhang Guan-nan 
Published: April 2022

Abstract
Background
In addition to the symptoms and limitation of function, non-specific low back pain also presents the stability imbalance of the local muscle and the whole muscle of the trunk. The treatment mode of exercise combined with manipulation is widely recognized, but the effect of suspension rope training combined with Mulligan technology is unclear. Musculoskeletal ultrasound and clinical indicators were used to evaluate the effect of suspension rope training combined with Mulligan technique on non-specific low back pain.
Methods
From December 2020 to November 2021, a randomized controlled clinical trial was conducted in the Sports Medicine Rehabilitation Center of Hebei Institute of Sports Science. Sixty patients with clinically diagnosed non-specific low back pain were enrolled in the study. They were randomly divided into the suspension group and the control group for eight weeks. The two groups were also treated with Mulligan manipulation. The suspension group was treated combined with suspension rope training on this basis, and the control group was treated combined with traditional rehabilitation training. Pain (NRS score), lumbar function (ODI score) and spinal range of motion were measured by a specialist before and after treatment. In addition, musculoskeletal ultrasound was used to measure muscle thickness of bilateral transversalis and multifidus muscles. Patients in both groups did not know about the treatment of the other group, and the data collection and statisticians of the manipulation therapists were not aware of the grouping, only the researcher was aware of the grouping but did not participate in the whole treatment process. χ2 test was used for counting the data of two groups, homogeneity of variance test was used for comparability of measurement data, independent sample T test was used for data comparison between groups, and paired sample T test was used for data comparison before and after treatment.
Results
After eight weeks, muscle thickness of bilateral transversalis and multifidus muscles, NRS, ODI and spinal range of motion in two groups were significantly better than those before treatment (P < 0.05)), and the amplitude of change in suspension group was significantly higher than that in control group(P < 0.05).
Conclusions
Suspension rope training combined with Mulligan technology has a significant effect on the treatment of non-specific low back pain, which can significantly improve the patients' lumbar function, and its effect is better than traditional rehabilitation training combined with Mulligan technology.
Functional Connectivity Uniqueness and Variability? A Signature of Cognitive and Psychiatric Problems in Children
Authors: Fu Zening , Liu Jingyu , Salman Mustafa , Sui Jing , Calhoun Vince 
Published: April 2022

Abstract
Brain functional connectivity (FC) derived from functional magnetic resonance imaging (fMRI) has been serving as a potential “fingerprint” for adults. However, intra-subject variation of FC can be substantial and carry biologically meaningful information, especially during adolescence, a time of intense brain changes. Here, for the first time, we performed a large-scale analysis on cross-scan FC stability and its association with a diverse range of health measures in children from the Adolescent Brain Cognitive Development (ABCD) data. Functional network connectivity (FNC), a network analog of FC, was extracted via an automated independent component analysis framework on 9071 subjects (age: 9~11 years) and compared across 4 scans. We found that the FNC profile can identify a given child from a large group with high accuracy (> 80%), though intra-subject variations exist cross-scan. The robustness of this finding is verified by replicating the child identification using the second-year scans and between longitudinal scans with a two-year interval. Moreover, cross-scan FNC stability was predictive of sleep condition, cognitive performance, and psychiatric problems in children, with higher stability correlated with better cognitive performance, longer sleep duration, and less psychotic expression. Meanwhile, parental psychopathology and prenatal exposure were associated with the FNC stability in their children. Overall, our findings show that a child’s connectivity profile is not only intrinsic but also exhibits reliable variability cross-scan, regardless of brain growth and development. The intra-subject connectivity stability may serve as a valuable biomarker to draw inferences on early cognitive and psychiatric behaviors in children.
L-Stable and A-Stable numerical method of order two for stiff differential equation
Authors: K.SELVAKUMAR  , Jason K. 
Published: April 2022

Abstract
This article presents a finite difference method of order two for stiff differential equation that will overcome the effects of stiffness since it is A-stable. And, reflect the asymptotic behavior of the solution of the stiff problem since it is L-stable.
The classical explicit Runge-Kutta methods of order two are not suitable for stiff problems since the numerical solution will not overcome the effects of stiffness and will not reflect the asymptotic behavior of the solution of the stiff problem ( for example, Dahlquist problem ). And, they are not both A-stable and L-stable. On applying Euler's implicit method, the numerical solution will overcome the effects of stiffness and wil reflect the asymptotic behavior of the solution of the stiff problem. And hence, it is both A-stable and L-stable. But it is of order one method.
A new numerical method which is both A-stable and L-stable and of order two for the numerical solution of a stiff differential equation is presented in this article. It will overcome the effects of stiffness and reflects the aysmptotic behaviour of the solution. The new method works well for large values of step size and works well in large domain. The new method is a modified form of the mid-point rule for the stiff problems. The rate of order of convergence is proved to be two both theoretically and numerically. Experimental results show the performance of the method based on the metrics such as stability function, stability region, order star fingers, the rate of order of theoretical and numerical convergence, absolute and relative errors, percentage of numerical solution accuracy and local and global truncation errors both numerically and graphically.
A Method for Correcting TRMM Satellite Temperature Network in Mazandaran Province
Authors: Nadi Mehdi , Kebriya Alireza Yousefi 
Published: April 2022

Abstract
The accurate spatial estimation of temperature is crucial in climate research. This study investigated the efficiency of temperature products of the TRMM satellite in estimating temperature in Mazandaran Province, and its accuracy were compared with inverse distance weighting and Co-Kriging interpolation methods. Finally, a new method was proposed to improve the accuracy of temperature estimation by combining the TRMM temperature products and terrains. Data recorded at 25 meteorological stations and 26 monthly and annual TRMM satellite images in 2012 and 2013 were used. The results showed a significant correlation between temperature data and satellite products, latitude, and altitude in significance level of 95%. Analyzing error indices showed that TRMM products have underestimation error that this bias error contributed to about 60% of error in these satellite images. Despite the larger error of TRMM products than interpolation methods, the regression analysis results demonstrated the superiority of satellite temperature products over interpolation methods. Furthermore, higher correlation of observed and estimated data showing that satellite products give a better understanding of cold and hot points of the study area despite its underestimation error. Combining satellite temperature products with influential covariates of altitude and latitude in the regression equation reduced the temperature estimation error of the TRMM products by 80%. The estimation precision increased over 70% compared to other temperature interpolation methods. Analyzing isotherm maps indicate the higher temperature of eastern coasts than western coasts. Moreover, evaluating different temperature estimation methods showed the higher precision of the methods that involved covariates than other methods.