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Predicting the spatial distribution of soil erodibility factor using USLE nomograph in an agricultural watershed,Ethiopia

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International Soil and Water Conservation Research 2015年第4期3卷 282-290页

作者： Hailu Kendie Addis Andreas Klik Institute of Hydraulics and Rural Water Management University of Natural Resources and Life SciencesViennaAustria Gondar Agricultural Research Center Soil and Water Management DirectorateGondarEthiopia

Soil erosion in the northwestern Amhara region,Ethiopia has been a subject of anxiety,resulting in a major environmental threat to the sustainability and productive capacity of agricultural *** study tried to estimate soil erodibility factor(Kfactor)using Universal Soil Loss Equation(USLE)nomograph,and evaluate the spatial distribution of the predicted K-factor in a mountainous agricultural *** investigate the K-factor,the 54 km2 study watershed was divided into a 500 m by 500 m square grid and approximately at the center of each grid,topsoil samples(roughly 10 to 20 cm depth)were collected over 234 ***,silt,clay and organic matter(OM)percentage were analyzed,while soil permeability and structure class codes were obtained using the United States Department of Agriculture(USDA)*** resulting coefficient of variation(CV)of the estimated K-factor was 0.31,suggesting a moderate ***,the value of nugget to sill ratio of K-factor was 0.32,which categorized as moderate spatial *** accuracy and model fitting effect of the Gaussian semivariogram approach was best,suggesting that the Gaussian ordinary Kriging model was more appropriate for predicting *** resulting value of the mean error(ME)was 0 and the mean squared deviation ratio(MSDR)was nearly 1,which indicates the Gaussian model was unbiased and reproduced the experimental variance *** values of K-factor were smaller(0.0217 to 0.0188)in the northern part and gradually increased(0.0273 to 0.033 Mg h MJ^(-1)mm^(-1))towards the central and south of the study watershed.

关键词： nomograph Semivariogram Soil erodibility factor Spatial variability Watershed

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Risk of cardiovascular death in patients with hepatocellular carcinoma based on the Fine-Gray model

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World Journal of Gastrointestinal Oncology 2024年第3期16卷 844-856页

作者： Yu-Liang Zhang Zi-Rong Liu Zhi Liu Yi Bai Hao Chi Da-Peng Chen Ya-Min Zhang Zi-Lin Cui First Central Clinical College Tianjin Medical UniversityTianjin 300070China Department of Hepatobiliary Surgery Tianjin First Central HospitalSchool of MedicineNankai UniversityTianjin 300192China

BACKGROUND Hepatocellular carcinoma(HCC)is one of the most common types of cancers worldwide,ranking fifth among men and seventh among women,resulting in more than 7 million deaths *** the development of medical tech-nology,the 5-year survival rate of HCC patients can be increased to 70%.How-ever,HCC patients are often at increased risk of cardiovascular disease(CVD)death due to exposure to potentially cardiotoxic treatments compared with non-HCC ***,CVD and cancer have become major disease burdens ***,further research is needed to lessen the risk of CVD death in HCC patient *** This study was conducted on the basis of the Surveillance,Epidemiology,and End Results database and included HCC patients with a diagnosis period from 2010 to *** independent risk factors were identified using the Fine-Gray model.A nomograph was constructed to predict the CVM in HCC *** nomograph performance was measured using Harrell’s concordance index(C-index),calibration curve,receiver operating characteristic(ROC)curve,and area under the ROC curve(AUC)***,the net benefit was estimated via decision curve analysis(DCA).RESULTS The study included 21545 HCC patients,of whom 619 died of ***(5 cm:2.090(1.543-2.830),Pnomograph were *** C-index values for the training and validation sets were 0.736 and 0.665,*** AUC values of the ROC curves at 2,4,and 6 years were 0.702,0.725,0.740 in the training set and 0.697,0.710,0.744 in the validation set,*** calibration curves showed that the

关键词： Hepatocellular carcinoma Cardiovascular disease deaths Fine-Gray model Risk factor nomograph Predict

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Influencing factors and risk prediction model for emergence agitation after general anesthesia for primary liver cancer

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World Journal of Gastrointestinal Surgery 2024年第7期16卷 2194-2201页

作者： Shu-Shu Song Li Lin Li Li Xiao-Dong Han Department of Anesthesia and Surgery Wenzhou Central HospitalWenzhou 325099Zhejiang ProvinceChina

BACKGROUND General anesthesia is commonly used in the surgical management of gastrointestinal tumors;however,it can lead to emergence agitation(EA).EA is a common complication associated with general anesthesia,often characterized by behaviors,such as crying,struggling,and involuntary limb movements in *** treatment is delayed,there is a risk of incision cracking and bleeding,which can significantly affect surgical ***,having a proper understanding of the factors influencing the occurrence of EA and implementing early preventive measures may reduce the incidence of agitation during the recovery phase from general anesthesia,which is beneficial for improving patient *** To analyze influencing factors and develop a risk prediction model for EA occurrence following general anesthesia for primary liver *** Retrospective analysis of clinical data from 200 patients who underwent hepatoma resection under general anesthesia at Wenzhou Central Hospital(January 2020 to December 2023)was ***-surgery,the Richmond Agitation-Sedation Scale was used to evaluate EA presence,noting EA incidence after general *** were categorized by EA presence postoperatively,and the influencing factors were analyzed using logistic regression.A nomogram-based risk prediction model was constructed and evaluated for differentiation and fit using receiver operating characteristics and calibration *** EA occurred in 51(25.5%)*** analysis identified advanced age,American Society of Anesthesiologists(ASA)grade Ⅲ,indwelling catheter use,and postoperative pain as risk factors for EA(P<0.05).Conversely,postoperative analgesia was a protective factor against EA(P<0.05).The area under the curve of the nomogram was 0.972[95%confidence interval(CI):0.947-0.997]for the training set and 0.979(95%CI:0.951-1.000)for the test ***-Lemeshow test showed a good fit(χ^(2)=5.483,P=0.705),and calibration curves showed

关键词： Primary hepatocellular carcinoma resection General anesthesia Emergence agitation Risk factors Forecast nomograph

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Factors Influencing Mode of Delivery: A Case-Control Study

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Advances in Reproductive Sciences 2024年第2期12卷 141-154页

作者： Linfeng Mo Na Wang Bin Peng Jiwei Wu Lishan Tang Han Liu Yonghua He Jie Hu Medicine and Health Science College Guangzhou Huashang Vocational College Guangzhou China School of Public Health Guilin Medical University Guilin China Department of Nursing Zhalantun Vocational College Hulunbuir China School of Public Health and Laboratory Medicine Yiyang Medical College Yiyang China

The primary objective of this investigation was to scrutinize the prepregnancy conditions and lifestyles of 2046 women residing in Liuzhou City, with the aim of delineating the determinants of delivery methods. Evidently, the study unearthed substantial correlations between prepregnancy body mass index, educational attainment, exposure to passive smoking, medical history, and other variables with the mode of delivery. Furthermore, a predictive nomogram model was formulated to accurately forecast the likelihood of cesarean section. These discernments equip pertinent authorities with the means to institute targeted screening and supportive measures for women contemplating pregnancy based on these identified factors. Moreover, provision of services such as prepregnancy counseling and clinical risk assessments could be instrumental in curbing the incidence of cesarean section.

关键词： Mode of Delivery Cesarean Section Influencing Factors nomograph

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