Comprehensive Study on the Influence of Evapotranspiration and Albedo on Surface Temperature Related to Changes in the Leaf Area Index

Many studies have investigated the influence of evapotranspiration and albedo and emphasize their separate effects but ignore their interactive influences by changing vegetation status in large amplitudes. This paper focuses on the comprehensive influence of evapotranspiration and albedo on surface temperature by changing the leaf area index （LAD between 30^-90~N. Two LAI datasets with seasonally different amplitudes of vegetation change between 30^-90~N were used in the simulations. Seasonal differences between the results of the simulations are compared, and the major findings are as follows. （1） The interactive effects of evapotranspiration and albedo on surface temperature were different over different regions during three seasons [March-April-May （MAM）, June-July-August （JJA）, and September-October-November （SON）], i.e., they were always the same over the southeastern United States during these three seasons but were opposite over most regions between 30°-90°N during JJA. （2） Either evapotranspiration or albedo tended to be dominant over different areas and during different seasons. For example, evapotranspiration dominated almost all regions between 30^-90~N during JJA, whereas albedo played a dominant role over northwestern Eurasia during MAM and over central Eurasia during SON. （3） The response of evapotranspiration and albedo to an increase in LAI with different ranges showed different paces and signals. With relatively small amplitudes of increased LAI, the rate of the relative increase in evapotranspiration was quick, and positive changes happened in albedo. But both relative changes in evapotranspiration and albedo tended to be gentle, and the ratio of negative changes of albedo increased with relatively large increased amplitudes of LAI.

Baishideng’s Reference Citation Analysis database announces the first Journal Article Influence Index of 101 core journals and a list of high-quality academic journals in gastroenterology and hepatology

After three rounds of rigorous evaluation of core journals in gastroenterology andhepatology conducted by the Reference Citation Analysis (RCA) editorial team ofBaishideng Publishing Group (Baishideng), the RCA database of Baishidengofficially released the 2022 Journal Article Influence Index (2022 JAII) of 101 corejournals in gastroenterology and hepatology, for the first time. The list of 101 corejournals can be found at: https://www.referencecitationanalysis.com/Search-Journal. Among them, the highest 2022 JAII is 48.014 and the lowest is 3.900. Thisarticle highlights the top 20 journals, describes the calculation method for the 2022JAII, the evaluation process, and the inclusion principles for journals in the RCA.These steps are the underpinning of the RCA’s empirical journal academicevaluation service by which the digital platform addresses the needs of authors toselect reliable journals for submission, readers to select high-quality literature forreading, and editors to track their own journal citation performance. As such, theRCA core journal list will serve as a useful Find-a-Journal tool. Any interestedparty is welcome to use this journal list and recommend it to their peers.

Baishideng’s Reference Citation Analysis database announces the first Journal Article Influence Index of 104 core journals and a list of high-quality academic journals in orthopedics

After three rounds of rigorous evaluation of core journals in orthopedics conducted by the Reference Citation Analysis(RCA)editorial team of Baishideng Publishing Group(Baishideng),the RCA database of Baishideng officially released the 2022 Journal Article Influence Index(2022 JAII)of 104 core journals and a list of high-quality academic journals in orthopedics,for the first time on August 9,2022.The list of 104 core journals can be found at:https://www.referencecitationanalysis.com/SearchJournal.Among them,the highest 2022 JAII is 55.015 and the lowest is 3.076.This article introduces the 21 high-quality academic journals and describes the calculation method for the 2022 JAII,the evaluation process,and the inclusion principles for journals in the RCA.These steps are the underpinning of the RCA’s empirical journal academic evaluation service by which the digital platform addresses the needs of authors to select reliable journals for submission,readers to select high-quality literature for reading,and editors to track their own journal citation performance.As such,the RCA core journal list will serve as a useful Find-a-Journal tool.Any interested party is welcome to use this journal list and recommend it to their peers.

Postoperative body weight change and its influencing factors in patients with gastric cancer

BACKGROUND The high incidence and mortality of gastric cancer(GC)pose a significant threat to human life and health,and it has become an important public health challenge in China.Body weight loss is a common complication after surgical treatment in patients with GC and is associated with poor prognosis and GC recurrence.However,current attention to postoperative weight change in GC patients remains insufficient,and the descriptions of postoperative weight change and its influencing factors are also different.AIM To investigate body weight changes in patients with GC within 6 mo after gastrectomy and identify factors that influence dynamic body weight changes.METHODS We conducted a prospective longitudinal study of 121 patients with GC and collected data before(T0)and 1(T1),3(T2),and 6(T3)mo after gastrectomy using a general data questionnaire,psychological distress thermometer,and body weight measurements.The general estimation equation(GEE)was used to analyze the dynamic trends of body weight changes and factors that influence body weight changes in patients with GC within 6 mo of gastrectomy.RESULTS The median weight loss at T1,T2,and T3 was 7.29%(2.84%,9.40%),11.11%(7.64%,14.91%),and 14.75%(8.80%,19.84%),respectively.The GEE results showed that preoperative body mass index(BMI),significant psychological distress,religious beliefs,and sex were risk factors for weight loss in patients with GC within 6 mo after gastrectomy(P<0.05).Compared with preoperative low-weight patients,preoperative obese patients were more likely to have weight loss(β=14.685,P<0.001).Furthermore,patients with significant psychological distress were more likely to lose weight than those without(β=2.490,P<0.001),and religious patients were less likely to lose weight 6 mo after gastrectomy than those without religious beliefs(β=-6.844,P=0.001).Compared to female patients,male patients were more likely to experience weight loss 6 mo after gastrectomy(β=4.262,P=0.038).CONCLUSION Male patients with GC with high preoperative BMI,significant psychological distress,and no religious beliefs are more likely to lose weight after gastrectomy.

The Influence Function of the Correlation Indexes in a Two-by-Two Table

In this paper we examine 5 indexes (the two Yule’s indexes, the chi square, the odds ratio and an elementary index) of a two-by-two table, which estimate the correlation coefficient ρ in a bivariate Bernoulli distribution. We will find the compact expression of the influence functions, which allow the quantification of the effect of an infinitesimal contamination of the probability of any pair of attributes of the bivariate random variable distributed according to the above-mentioned model. We prove that the only unbiased index is the chi square. In order to determine the indexes, which are less sensitive to contamination, we obtain the expressions of three synthetic measures of the influence function, which are the maximum contamination (gross sensitivity error), the mean square deviation and the variance. These results, even if don’t allow a definitive assessment of the overall optimum properties of the five indexes, as not all of them are unbiased, nevertheless they allow to appreciating the synthetic entity of the effect of the contaminations in the estimation of the parameter ρ of the bivariate Bernoulli distribution.

Baishideng’s Reference Citation Analysis database announces the first Article Influence Index of multidisciplinary scholars

After three rounds of rigorous evaluation of registered scholars conducted by the Reference Citation Analysis(RCA)editorial team of Baishideng Publishing Group(Baishideng),the RCA database of Baishideng officially released the 2022 Article Influence Index(2022 AII)of 632 scholars from 74 countries/territories in 98 research categories,for the first time.The list of 632 scholars can be found at:https://www.referencecitationanalysis.com/searchscholar.Among them,the highest 2022 AII is 348.211,the highest number of total citations is 42830,and the highest number of total articles is 901.The category with the largest number of RCA scholars is Gastroenterology&Hepatology,with a total of 100(15.8%),and the second is Surgery,with a total of 46(7.3%).This article summarizes the RCA scholars and describes the mission of RCA,the openness and transparency of RCA evaluation,the calculation method for the 2022 AII,and the evaluation process of RCA scholars.The RCA scholar list will effectively serve as a useful Find-a-Scholar tool.Any interested scholar is welcome to register and join this RCA scholar list.

Index System and Influence of Drought in Northwest China

In this paper, the index systems of the agricultura drought and decrease percentage of grain crop are established. Th trend and influence of drought in the region is analyzed based o the 50 years (1951-2000) statistical data of precipitation and 5 years (1951–2002) agricultural drought of the region, includin five provinces: Shaanxi, Gansu, Ningxia, Qinghai and Xinjiang The result shows that the drought disaster is increasing and th most serious were in the 1970s and 1990s, and main agricultura drought is a great disaster incident. The regression prediction equa tion of drought and flood grades and agricultural drought area grades are set up by the harmonic wave method, and forecastin the drought will lighten during the first ten years of the 21s century.

Field Modeling Method for Identifying Urban Sphere of Influence:A Case Study on Central China

With rapid development of urbanization and regional interaction and interdependence,regional urban agglomeration planning becomes more and more important in China,in order to promote integrated development of various cities with close interrelationship.However,it is still arguable academically on how to define the boundary or which cities to be included for the urban agglomeration of a region.This paper aims to shed lights on how to identify urban spheres of influence scientifically by introducing field modeling method and by practicing a case study on 168 cities in Central China.In our field modeling method,the influence intensities of cities were measured by a comprehensive index and urban spheres of influence were represented spatially by field intensity.Then,their classification and spatial distribution characteristics of study area in 2007 were identified and explored by using GIS and statistical methods.The result showed that:1) Wuhan is the absolute dominant city in Central China;2) the provincial capital cities dominate their own provinces and there are no other lower grade agglomeration centers;and 3) the basic types of organization form of urban sphere of influence are single-polar type,agglomeration type,close-related group type and loose-related group type.

Study on Characteristics and Influencing Factors of Coagulation Indexes in Pulmonary Infection Sepsis

Objective:To explore the characteristics and influencing factors of coagulation indexes in patients with pulmonary infection sepsis.Methods:104 patients in Shaanxi Provincial Hospital of Chinese Medicine from January 2015 to April 2021 were collected and divided into case group(52 cases)and control group(52 cases).The general data and coagulation indexes of the two groups were statistically analyzed.The difference was statistically significant(P<0.05).Binary logistic regression analysis was used.Results:The indexes of age PT,APTT,TT,FDP,D-Dimer,INR and PLT in the control group were significantly higher than those in the control group(P<0.05);There was no significant difference in FIB-C(P>0.05);Binary logistic regression analysis showed that D-Dimer and PLT were the risk factors of pulmonary infection sepsis(OR>1,P<0.05).Conclusion:FDP and D-Dimer are risk factors for the development of pneumonia into sepsis.

Extreme gradient boosting algorithm based urban daily traffic index prediction model:a case study of Beijing,China

The exhaust emissions and frequent traffic incidents caused by traffic congestion have affected the operation and development of urban transport systems.Monitoring and accurately forecasting urban traffic operation is a critical task to formulate pertinent strategies to alleviate traffic congestion.Compared with traditional short-time traffic prediction,this study proposes a machine learning algorithm-based traffic forecasting model for daily-level peak hour traffic operation status prediction by using abundant historical data of urban traffic performance index(TPI).The study also constructed a multi-dimensional influencing factor set to further investigate the relationship between different factors on the quality of road network operation,including day of week,time period,public holiday,car usage restriction policy,special events,etc.Based on long-term historical TPI data,this research proposed a daily dimensional road network TPI prediction model by using an extreme gradient boosting algorithm(XGBoost).The model validation results show that the model prediction accuracy can reach higher than 90%.Compared with other prediction models,including Bayesian Ridge,Linear Regression,ElatsicNet,SVR,the XGBoost model has a better performance,and proves its superiority in large high-dimensional data sets.The daily dimensional prediction model proposed in this paper has an important application value for predicting traffic status and improving the operation quality of urban road networks.

融合Altmetrics指标的领域高产学者综合影响力研究——以Nature生物科技子刊为例

[目的/意义]评估高产学者的影响力有利于推动学者研究的积极性,也可为引进优秀人才提供参考。根据普赖斯定律确定的高产作者是一个研究领域中有影响力的骨干力量,在科研工作中发挥着关键的导向作用。但依据科研产出量这一单一指标来评判学者的影响力存在一定的局限性。合理的学者影响力评价方法在评价学者科研产出绝对数量的基础上还应考虑科研成果的质量,对学者进行包括学术水平在内多维度的综合影响力展开评价研究。[方法/过程]本文在前人的研究基础上初步遴选传统指标和Altmetrics指标,以3本Nature生物科技子刊为例,其官网为数据源采集相关指标数据。分别从高产学者的科研影响力和社会影响力两个维度构建评价指标体系,通过相关性分析等方法对指标进行筛选,接着采用因子分析、主成分分析方法分别对高产学者的科研影响力和社会影响力进行评价,并分析两个维度的相关关系,最后得到高产学者影响力的二维测度结果。[结果/结论]结果显示,大部分学者在两个维度的影响力排名差距较大,并且两个维度呈较强的正相关关系,因此本文将科研影响力即传统指标与社会影响力即Altmetrics指标二者结合进行高产学者的综合影响力评价具有合理性。同时,通过比较该领域不同发文量的高产学者综合影响力情况,发现高产学者科研成果的“高产出量”并不完全意味着“高质量”,预示学者们应摒弃唯发文量至上的观念,形成一支真正高质量的高产作者队伍,助推领域的发展。

基于统计的语音传输指数预测方法实验对比

良好的言语可懂度是语言声厅堂声环境设计的重要目标,语音传输指数(STI)是言语可懂度的客观评价参量。在设计阶段就能对STI做出准确预测,对语言声厅堂的声环境控制具有重要意义。基于统计的STI预测方法是IEC 60268-16标准推荐的主要预测方法,但对于使用该方法时的影响因素以及预测精度,当前仍缺少系统性的实验对比研究。该文使用4个房间中13个测点共52种听音条件下的STI实测结果,分析了基于统计的STI预测方法的精度以及影响因素,结果表明:考虑和不考虑直达声的两种预测方法,都存在着系统偏差,预测结果普遍小于实测值;在距离声源较近测点的预测都产生了较大误差,在距离声源较远测点的预测误差相对较小;基于单指数衰变声场不考虑直达声的预测方法操作简单,但误差较大,52种听音条件的平均误差达到了-0.032,最大误差达到了-0.131;考虑直达声的预测方法误差相对较小,52种听音条件的STI平均误差为-0.018,最大误差为-0.080;预测精度主要受所使用的信噪比、扬声器的指向性、房间的声场条件等因素影响,并对这些因素的影响进行了对比分析。结果可为STI预测方法的使用者提供参考。

基于一种土地利用变化新指标的土地利用变化影响因素分析——以大兴安岭林牧交错区为例

研究土地利用变化机制,是保障生态脆弱区生态环境良性发展的必然要求。基于土地利用信息图谱构建新指标——土地利用转换度,借助土地利用转移矩阵和土地利用转换度刻画1990—2021年研究区土地利用转移的宏观特征,构建渔网提取土地利用转换度,分析其空间自相关性,并用地理加权回归(GWR)分析研究区土地利用变化的影响因素,为林牧交错区社会经济发展服务。研究发现:(1)1990—2021年,研究区土地利用类型的宏观格局变化不大,林地和草地是该区域的主要用地类型,林地主要分布在东部和北部的山区,草地主要分布在西南部,耕地主要分布于山地和草原交接的地区及河谷地带。(2)1990—2021年林地呈现增加趋势,草地逐年减少,耕地和建设用地缓慢增加。(3)草地、耕地和林地是该地区土地利用变动的主要类型,以草地转出最多,主要转换为林地和耕地。(4)土地利用转换度有显著空间自相关,存在明显的高高聚集和低低聚集。转换频繁区呈倒“C”字形,分布在大兴安岭西部山区与草地过渡带,即海拔700~900 m的地带。(5)GWR分析发现坡度、气温变化、人均GDP变化是影响该区土地利用的主要因素,人均GDP增加会降低土地利用转换度,而其他因素增加会导致土地利用转换加速。(6)土地利用转换度是一种可靠的土地利用变化度量指标,能够将空间和时间融合反映土地利用状态的变化强度。

婴儿体脂指数的影响因素分析

目的探究不同性别婴儿体脂指数(FMI)的影响因素。方法于2021年10月至2022年12月,在山东省开展婴儿体成分的横断面研究,对研究对象进行电子问卷调查和体成分测量获取研究数据,最终纳入9291份有效数据,应用多因素线性回归分析不同性别婴儿FMI的影响因素。结果不同性别婴儿月龄与FMI具有显著正相关。与适于胎龄儿相比,大于胎龄儿的FMI增加(β值分别为0.086、0.078,P<0.001),小于胎龄儿的FMI降低(β值分别为-0.088、-0.072,P<0.001)。与6月龄以后添加辅食相比,4~6月龄添加辅食男女婴儿FMI均增加,差异均具有统计学意义(β值分别为0.099、0.053,P<0.001)。与父母亲体重正常相比、父母亲肥胖与婴儿FMI的增加显著相关(β值分别为0.058、0.070和0.054、0.058,P<0.001),母亲体重过低与婴儿FMI降低显著相关(β值分别为-0.039、-0.046,P=0.005、0.002)。妊娠期糖尿病与婴儿FMI降低显著相关(β值分别为-0.039、-0.046,P=0.005、0.002),妊娠期高血压与男婴FMI升高显著相关(β=0.028,P=0.038)。纯配方奶喂养对女婴FMI存在显著正向影响(β=0.029,P=0.046)。孕期增重不足对女婴FMI存在显著负向影响(β=-0.033,P=0.032)。结论影响婴儿身体成分的因素有胎龄别体重、喂养方式、辅食添加时间、母亲孕期增重及孕期疾病等,应在生命早期采取干预措施进行控制,预防子代代谢性疾病的发生。

生态旅游赋能矿山修复开发适宜性评价及影响因素

【目的】发展生态旅游赋能以绿色矿山为代表的矿山土地综合修复利用受到广泛关注,研究生态旅游赋能矿山修复开发适宜性评价体系与影响因素,为全国绿色矿山生态旅游高质量发展提供技术支撑。【方法】基于层次分析法(AHP)从科研价值、历史文化价值、休闲游憩价值、生态环境价值、矿区开发条件、城市开发环境6个维度构建了绿色矿山生态旅游评价指标体系,以湖南为案例地,运用因子分析法测算湖南绿色矿山生态旅游开发适宜性评价,采用多元线性回归方法分析了湖南绿色矿山生态旅游开发的影响因素。【结果】结果显示,湖南绿色矿山生态旅游开发评价指标综合评分最高为0.84,最低为0.38,开发评价指标综合评分差距较小。旅游资源丰富程度、生态环境质量、政策支持情况通过了1%水平的显著性检验,基础设施、相关者的参与度和友善度、交通便利性通过了5%水平的显著性检验,且与湖南绿色矿山生态旅游开发存在正相关关系,风险安全状况对湖南绿色矿山生态旅游开发影响不显著。【结论】湖南省生态旅游赋能矿山修复开发潜力大,为此,应加强政府的宏观规划管理,制定相应政策法规,引导和保障矿山生态旅游开发。加强科学技术与数字化水平,加大创新投入,充分利用矿山遗留资源和当地文化,在生态修复保护的基础上,提高矿山生态旅游价值,打造矿山生态旅游产品。

恩施州乡村旅游地农户返贫风险评估及其影响因素研究

有效预防返贫风险是后脱贫时代脱贫攻坚和乡村振兴战略有效衔接的关键.该研究将风险的概率纳入返贫风险评估体系,从发生概率和破坏程度两方面综合评估其返贫风险,系统反映返贫风险的可能性和破坏性,进而探究其影响因素.研究发现:1)农户各维度的返贫风险水平从高到低依次为个体风险、家庭风险、社会风险和自然风险,农户受家庭风险和个体风险影响较大,存在明显的内生性、个体化特征.2)依据风险的发生概率和破坏程度,返贫风险可分为“高概率-高破坏”型、“高概率-低破坏”型和“低概率-低破坏”型3种类型,其中,“高概率-高破坏”型风险包括非农就业能力和教育负担,返贫风险指数最高,对农户返贫的威胁最大.3)抚养人数和户主的文化程度等家庭特征是影响返贫风险的主要因素,乡村旅游扶贫开发模式不同导致农户的返贫风险存在显著差异.在返贫防治实践中,应因户施策,重点防治内生性返贫,同时要根据返贫风险发生概率及破坏程度的差异,制定合理的返贫风险预警机制及防治措施.

体重指数对老年心房颤动患者导管消融术后复发的影响

目的探讨体重指数(BMI)与老年心房颤动患者导管消融术后复发的关系以及对心房颤动复发的预测价值。方法收集2018年1月至2019年12月入住安徽医科大学第一附属医院心血管内科并接受导管消融术的219例老年(≥60岁)心房颤动患者一般情况资料,体格测量资料,血液学、心脏超声影像学等指标,分析BMI值对老年心房颤动患者导管消融术后复发的影响以及对术后心房颤动复发的预测价值。结果BMI值、心房颤动类型为非阵发性以及左心房内径都是老年心房颤动患者导管消融术后心房颤动复发的影响因素,且BMI值对老年心房颤动患者导管消融术后复发有较好的预测价值(AUC=0.595,95%CI:0.526~0.662,P=0.016)。结论BMI值过高是老年心房颤动患者导管消融术后复发的独立影响因素,对老年心房颤动患者导管消融术后复发具有预测意义。

下肢静脉曲张术后延续性干预的效果及复发影响因素分析

目的探讨下肢静脉曲张术后延续性干预的效果及复发影响因素。方法选择2020年3月至2022年9月收治的下肢静脉曲张并行手术治疗的患者100例,随机分为观察组和对照组各50例,对照组行常规干预,观察组使用延续性干预,对比2组复发情况、凝血功能及生活质量。根据患者术后12个月是否复发分为复发组42例和未复发组58例,收集2组一般资料,应用多因素Logistic回归分析术后复发的影响因素。结果观察组术后6、9、12个月复发率低于对照组(P<0.05,P<0.01);观察组凝血酶时间、凝血酶原时间及活化部分凝血酶原时间均长于对照组(P<0.05);观察组躯体、心理、角色、社会四个维度评分均高于对照组(P<0.05)。年龄≥60岁、体质量指数、文化程度、静脉曲张年限、凝血功能以及延续性干预均是下肢静脉曲张术后复发的影响因素(P<0.05,P<0.01)。结论年龄、体质量指数、文化程度、静脉曲张年限及凝血功能是下肢静脉曲张术后复发影响因素,术后应用延续性干预能降低复发率,提高患者生活质量。