Health effects of fruit juices and beverages with varying degrees of processing

The degree of processing is rarely considered an independent factor in the health effects of fruit juices and beverages(FJBs)consumption.In fact,the consumption of ultra-processed foods has been shown to pose health risks.In this study,we first integrated 4 systems used to classify the degree of food processing and then classified FJBs into three major categories,low(minimal),moderate and high.Second,we compared the differences in attitudes towards FJBs in dietary guidelines.Third,we integrated the results of existing epidemiological surveys,randomized controlled trials,and animal experiments to explore the health risks associated with consuming FJBs.Deepening the processing of FJBs has been found to lead to an increased risk of diseases.Dietary pattern,nutrients,addition agents and consumer preferences may be influential factors.Finally,we investigated whether there were any changes in the health benefits of 100%fruit juices produced by different processing methods.In conclusion,minimally/moderately processed 100%fruit juices provide more health benefits than highly processed fruit beverages.The results support the need to consider the extent of FJBs processing in future studies to adjust official nutritional recommendations for beverage consumption.

Hazard degree identification of goafs based on scale effect of structure by RS-TOPSIS method

In order to precisely predict the hazard degree of goaf(HDG), the RS-TOPSIS model was built based on the results of expert investigation. To evaluate the HDG in the underground mine, five structure size factors, i.e. goaf span, exposed area, goaf height, goaf depth, and pillar width, were selected as the evaluation indexes. And based on rough dependability in rough set(RS)theory, the weights of evaluation indexes were identified by calculating rough dependability between evaluation indexes and evaluation results. Fourty goafs in some mines of western China, whose indexes parameters were measured by cavity monitoring system(CMS), were taken as evaluation objects. In addition, the characteristic parameters of five grades' typical goafs were built according to the interval limits value of single index evaluation. Then, using the technique for order preference by similarity to ideal solution(TOPSIS), five-category classification of HDG was realized based on closeness degree, and the HDG was also identified.Results show that the five-category identification of mine goafs could be realized by RS-TOPSIS method, based on the structure-scale-effect. The classification results are consistent with those of numerical simulation based on stress and displacement,while the coincidence rate is up to 92.5%. Furthermore, the results are more conservative to safety evaluation than numerical simulation, thus demonstrating that the proposed method is more easier, reasonable and more definite for HDG identification.

Effects of iron on growth,degree of pigmentization and nitrogen assimilation in Skeletonema costatum

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Effect of Quasi-Fermi Level on the Degree of Electron Spin Polarization in GaAs

With spin-polarized-dependent band gap renormalization effect taken into account, the energy-dependent evolu- tion of electron spin polarization in GaAs is calculated at room temperature and at a low temperature of 1OK. We consider the exciting light with right-handed circular polarization, and the calculation results show that the degree of electron spin polarization is dependent strongly on the quasi-Fermi levels of ｜1/2） and ｜- 1/2） spin conduction bands. At room temperature, the degree of electron spin polarization decreases sharply from 1 near the bottom of the conduction band, and then increases to a stable value above the quasi-Fermi level of the ｜- 1/2） band. The greater the quasi-Fermi level is, the higher the degree of electron spin polarization with excessive en- ergy above the quasi-Fermi level of the ｜- 1/2） band can be achieved. At low temperature, the degree of electron spin polarization decreases from 1 sharply near the bottom of the conduction band, and then increases with the excessive energy, and in particular, up to a maximum of i above the quasi-Fermi level of the ｜1/2） band.

The Effective Degree of Freedom of Low Energy QCD

The adiabatic effective baryon-baryon interactions and dibaryon candidates are studied syst ematicallywith three constituent quark models based on different effective degrees of freedom: Glozman-Riska-Brown Goldstoneboson exchange model based on constituent quark and Goldstone boson coupling; Fujiwara model based on constituentquark gluon coupling and Nijmegen one-boson exchange; QDCSM based on constituent quark and gluon coupling withquark delocalization and color screening. We find that the three models predicted the similar effective baryon-baryoninteractions for roughly two thirds among the 64 states consisted of octet and decuplet baryons. The differences amongthree models and their separate characteristics are also studied.

How Initial Degrees of Freedom May Contribute to Initial Effective Mass, i.e. Effective Mass of the Universe Proportional to (D.O.F.) to the 1/4th Power by an Enormous Initial Degree of Freedom Value

Using a relationship between Hubble’s “parameter”, Temperature, Energy and effective mass, from there obtain in 3 + 1 dimensions a relationship between effective mass, and the initial degrees of freedom, to the 1/4th power, we will discuss candidates for entry into this, assuming for a start that initial universe conditions are similar to a black hole, i.e. a nearly singular start to inflationary expansion;this would necessitate a HUGE initial degree of freedom value as outlined in our argument.

INFLUENCE OF GRAIN SIZE AND ORDERING DEGREE OF PARENT PHASE ON SME IN A CuZnAl ALLOY CONTAINING BORON

The influence of grain size and ordering degree of the parent phase on the shape memory re- covery in a Cu-25.62Zn-3.97Al-0.0018B(wt-%)memory alloy is investigated.A mathematical relationship is set up between the recovery ratio and ordering degree,probabili- ty of atoms at their ordered sites,grain size,the thickness of the grain boundary affected re- gions,the stress during deformation,as well as the critical shear stress.Shape memory effect reaches a maximum with varying grain size and increases linearly with increasing ordering parameter,which agrees well with experimental results.

Phase-field simulations of the effect of temperature and interface for zirconiumδ-hydrides

Hydride precipitation in zirconium cladding materials can damage their integrity and durability.Service temperature and material defects have a significant effect on the dynamic growth of hydrides.In this study,we have developed a phasefield model based on the assumption of elastic behaviour within a specific temperature range(613 K-653 K).This model allows us to study the influence of temperature and interfacial effects on the morphology,stress,and average growth rate of zirconium hydride.The results suggest that changes in temperature and interfacial energy influence the length-to-thickness ratio and average growth rate of the hydride morphology.The ultimate determinant of hydride orientation is the loss of interfacial coherency,primarily induced by interfacial dislocation defects and quantifiable by the mismatch degree q.An escalation in interfacial coherency loss leads to a transition of hydride growth from horizontal to vertical,accompanied by the onset of redirection behaviour.Interestingly,redirection occurs at a critical mismatch level,denoted as qc,and remains unaffected by variations in temperature and interfacial energy.However,this redirection leads to an increase in the maximum stress,which may influence the direction of hydride crack propagation.This research highlights the importance of interfacial coherency and provides valuable insights into the morphology and growth kinetics of hydrides in zirconium alloys.

Influence of Xenia Effect on the Fruit of Watermelon

[ Objective] To study the influence of xenia effect to the fruit of watermelon. [ Method ] Self-crossing and crossing by inbreeding of more generation female parent, male parent ：07-10-2-3-3（ tall spherical, golden yellow peel with thin lines, red flesh）, 07-32-2-3-5（ tall spherical, green peel with greenish thick lines, red flesh）, 07-33-1-2-3（tall spherical, green peel with greenish thin lines, red flesh） [ Result] It was found that Fo （07-10-2-3-3 × 07-32-2-3-5） and Fo （07-10-2-3-3 × 07-33-1-2-3） seed ripening was accelerated, and the sugar degree increased by 1.7 - 2.4%, and the flesh became crisp.[ Conclusion] The result demonstrates watermelon has xenia effect.

Blasting cumulative damage effects of underground engineering rock mass based on sonic wave measurement

The principle of sonic wave measurement was introduced, and cumulative damage effects of underground engineering rock mass under blasting load were studied by in situ test, using RSM-SY5 intelligent sonic wave apparatus. The blasting test was carried out for ten times at some tunnels of Changba Lead-Zinc Mine. The damage depth of surrounding rock caused by old blasting excavation （0.8-1.2 m） was confirmed. The relation between the cumulative damage degree and blast times was obtained. The results show that the sonic velocity decreases gradually with increasing blast times, hut the damage degree （D） increases. The damage cumulative law is non-linear. The damage degree caused by blast decreases with increasing distance, and damage effects become indistinct. The blasting damage of rock mass is anisotropic. The damage degree of rock mass within charging range is maximal. And the more the charge is, the more severe the damage degree of rock mass is. The test results provide references for researches of mechanical parameters of rock mass and dynamic stability analysis of underground chambers.

Uncertainty entropy-based exploratory evaluation method and its applications on missile effectiveness evaluation

Some attributes are uncertain for evaluation work because of incomplete or limited information and knowledge.It leads to uncertainty in evaluation results.To that end,an evaluation method,uncertainty entropy-based exploratory evaluation(UEEE),is proposed to guide the evaluation activities,which can iteratively and gradually reduce uncertainty in evaluation results.Uncertainty entropy(UE)is proposed to measure the extent of uncertainty.First,the belief degree distributions are assumed to characterize the uncertainty in attributes.Then the belief degree distribution of the evaluation result can be calculated by using uncertainty theory.The obtained result is then checked based on UE to see if it could meet the requirements of decision-making.If its uncertainty level is high,more information needs to be introduced to reduce uncertainty.An algorithm based on the UE is proposed to find which attribute can mostly affect the uncertainty in results.Thus,efforts can be invested in key attribute(s),and the evaluation results can be updated accordingly.This update should be repeated until the evaluation result meets the requirements.Finally,as a case study,the effectiveness of ballistic missiles with uncertain attributes is evaluated by UEEE.The evaluation results show that the target is believed to be destroyed.

The “Overlapping Equilibria” Effect in the Processes of the Electrolytic Dissociation of Weak Multibasic Organic Acids

The “overlapping equilibria” effect observed in the processes of electrolytic dissociation of many weak multibasic organic acids determines the character of these processes. In this communication, the degree of “overlapping equilibria” in case of weak dibasic organic acids is quantitatively characterized by the values of “partial” degree of dissociation for second step and ratio of the concentrations of dianion and monoanion. It has been shown that these dissociation parameters are directly connected with the values of the second dissociation constant. It has been also shown that the contribution of third dissociation step in the “overlapping equilibria” effect is especially appreciable in case of penta and hexabasic weak organic acids causing the double “overlapping” phenomenon.

The Quantitative Analysis on Leverage and its Effects

Leverage of modem enterprise＇s financial management includes operating leverage and financial leverage. Both of them exist objectively, are not changeable with human＇s minds. They enlarge enterprise＇s benefit and risk, so they have both positive and negative effects. The degrees of them are measured as DOL and DFL. In financial management, the relationship between DOL and operating risk has regularity in quantity, and so does the relationship between DFL and financial risk.

生态农业培训效果的耦合协调度研究

为未来生态农业培训模式设计和创新实践提供理论和现实依据,进而为农业高质量发展提供政策启示,基于2012—2021年我国31个省(市、自治区)的相关统计数据,分析政策支持、市场竞争、环保意识、培训资源四个要素之间的耦合协调关系。运用耦合协调度模型,构建影响生态农业培训效果要素系统的协同度评价模型,分析政策支持、市场竞争、环保意识、培训资源四个要素之间耦合协调的时空演变特征。在此基础上,通过障碍度模型识别出制约生态农业培训效果的关键因素,探究我国生态农业培训效果影响要素耦合协调的变化趋势与制约因素。研究发现:2012—2021年全国31个省(市、自治区)四要素耦合协调度整体表现为上升趋势,由0.478增至0.565,增幅为36.61%,但耦合协调度相对较低;在空间分布方面,各省(市、自治区)四要素耦合协调度呈现显著正相关;各要素障碍度由大到小依次为:市场竞争、培训资源、政策支持、环保意识,影响各要素耦合协调的主要障碍因子为政策支持中的政府补助金额,市场竞争中的涉农院校数量,环保意识中的有机肥的投入量,培训资源中的培训场地面积。

综合评价方法中的最优无量纲化模型研究

针对综合评价过程中无量纲化方法选择盲目性较强的问题,文章首先引入综合评价结果优良性的度量指标,优化综合评价结果稳定性和区分度的度量函数,建立无量纲化有效性的统计检验方法;其次,以无量纲化有效为主要约束条件,分别以稳定性最高、区分度最高以及稳定性和区分度均最高为目标函数构建三类最优无量纲化模型,分析大平移尺度和小平移尺度约束条件对最优无量纲化模型的影响;最后,通过大量的数值模拟实验研究了6种常用综合评价方法中的最优无量纲化模型,并对结果进行深入分析。研究发现,大平移尺度约束下几种综合评价方法中的最优无量纲化结果均不同于现有无量纲化方法,小平移尺度约束下的最优无量纲化与均值化较为接近,但不完全相同;经过不断优化后的稳定性函数和区分度函数能更科学地度量综合评价结果的稳定性和区分度大小,无量纲化有效性的统计检验方法能准确判断指标间的量纲差异是否被有效消除;综合评价方法、目标函数和约束条件不同时所对应的最优无量纲化结果不同。

数字经济与实体经济融合是否提升了企业创新能力——基于正反向融合度的非线性检验

促进数字经济与实体经济深度融合,依托数字技术与设备实现核心领域突破性创新,是高质量发展的关键。编制我国非竞争投入产出表,从供需双层面和广义狭义双范畴,可构建并测算我国数字经济与实体经济正、反向融合度,探究数字经济与实体经济融合对实体企业创新影响及内在机制。研究发现,融合度对实体创新的影响存在非线性效应,正向融合度整体提升实体企业创新质量和效率,这与技术吸收能力强化相关;反向融合度处于合理区间时才能拉动创新增长,否则将因成本效应和适应性不足降低实体工业创新质量和效率。

数字普惠金融对新质生产力的影响及作用机制研究

新质生产力是中国经济高质量发展的重要着力点,而数字普惠金融则是推动新质生产力发展的关键动力之一。将数字普惠金融融入到新质生产力的发展中,不仅能够有效提升金融服务的效率和质量,还能够为新质生产力的发展提供有力的金融支持,推动中国经济实现高质量发展。论文利用2012—2021年中国30个省(自治区、直辖市,不含西藏自治区与港澳台地区)的面板数据,系统考察了数字普惠金融对新质生产力的影响及其作用机制。研究表明:数字普惠金融显著推动了新质生产力发展,在进行了内生性检验后,结论仍然成立;机制检验表明,数字普惠金融通过推动产业结构升级对新质生产力产生影响,同时市场化程度在数字普惠金融与新质生产力发展之间发挥正向调节作用。此外,数字普惠金融作用于新质生产力时存在自身双重门槛效应。论文研究结论有助于深入理解数字普惠金融对新质生产力影响的内在机制,为实现高质量发展提供更加有效的路径选择与理论支撑。

石墨烯电热涂料的制备与性能影响因素分析

碳系电热涂料以高电热转化率、安全稳定、适用性强等特点成为电热功能性涂料主流的研究方向。其中以石墨烯为导电填料的石墨烯电热涂料深受研究人员青睐,但是影响石墨烯电热涂料性能的因素众多,为此国内外科技工作者进行了大量的研究。综述了影响石墨烯电热涂料性能的因素,着重分析了制备工艺、界面效应、分散度、粘结剂等对石墨烯电热涂料性能的影响,最后指出了石墨烯电热涂料目前存在的问题并展望了其未来发展趋势。

中国降碳-减污-扩绿-增长协同发展空间关联网络特征及影响因素研究

协同推进降碳-减污-扩绿-增长已成为我国经济社会发展全面绿色转型的必然选择。基于我国30个省份面板数据(不包含港澳台地区以及西藏自治区数据),运用熵值法、耦合协调度模型和社会网络分析方法,分析各省份间降碳-减污-扩绿-增长协同演变趋势及空间关联网络特征。结果表明:①各省份降碳-减污-扩绿-增长协同效应的变化趋势基本一致,但在空间上呈现东部>东北>西部>中部的区域不均衡特征。②降碳-减污-扩绿-增长协同效应呈现以东部地区为核心的复杂空间网络结构,省际间空间关联性呈上升态势,但网络结构稳定性还有待提高。③北京市、天津市和上海市等地区凭借优越区位,在关联网络中处于主导地位,而宁夏回族自治区、黑龙江省和新疆维吾尔自治区等地区对其他地区的影响较小。④北京市、天津市和上海市等地区属于“主受益”板块,浙江省、广东省等地区属于“经纪人板块”,安徽省、江西省和湖北省等地区属于“净溢出”板块。⑤降碳-减污-扩绿-增长协同效应的空间关联网络受多种因素共同影响,人力资本水平、科技投入、市场化水平和数字经济发展均有利于空间关联关系的建立。研究显示,中国降碳-减污-扩绿-增长协同效应存在空间关联性,需进一步加强省份间的绿色合作与交流,共同推动降碳-减污-扩绿-增长协同发展。

乳腺癌病人社交焦虑和病耻感在家庭关怀度与孤独感间的中介作用

目的:探讨乳腺癌病人社交焦虑和病耻感在家庭关怀度与孤独感间的作用机制,为乳腺癌病人孤独感干预提供参考。方法:选取2021年12月—2022年7月在安徽省8所医院就诊的乳腺癌病人328例为研究对象,采用社交焦虑量表、社会影响量表、家庭关怀度指数问卷、孤独感量表对其进行调查。结果:乳腺癌病人社交焦虑、病耻感、家庭关怀度、孤独感总分分别为(11.72±5.33)分、(59.51±12.98)分、(6.84±3.67)分、(49.20±9.14)分。乳腺癌病人家庭关怀度与孤独感呈负相关(P<0.05),社交焦虑、病耻感与孤独感呈正相关(均P<0.05)。社交焦虑和病耻感在家庭关怀度与孤独感间起中介作用。结论:乳腺癌病人家庭关怀度可通过社交焦虑和病耻感的链式中介作用间接影响孤独感。