Comparing the soil quality changes of different land uses determined by two quantitative methods

Soil quality is one of the most important environmental factors in sustaining the global biosphere and developing sustainable agricultural practices. A study was initiated in Wolong Nature Reserve, Sichuan Province, China to elucidate the soil quality changes of natural secondary succession, forest planting and agricultural practices after deforestation in the humid mountainous region. The soil qualities of six land use types (natural forestland, grassland, shrub land, secondary forestland, cultivated land and reforested land) were compared using two quantitative methods: the integrated soil quality index(QI) and soil deterioration index(DI). The QI values of natural forestland, grassland, shrub land, secondary forestland, cultivated land, reforested land were 0.8039, 0.3277, 0.9127, 0.6881, 0.0285 and 0.3183, respectively. The DI values were 0%, -14%, 12%, 1%, -26% and -18% respectively. Both indexes suggested that shrub land can restore soil properties. To compare the two methods more directly, a deduced index QI′ based on QI value was developed. The results showed that DI and QI′had a very high linear correlation coefficient (r=0.9775) despite the values were different. Both methods were efficient in evaluating the soil quality levels and DI was a more simple way in soil quality assessment, while QI could show more ecological meanings.

A Quantitative Method for Evaluating the Transporting Capacity of Oil-Source Faults in Shallow Formation of Oil-Rich Sags

Objective Oil-source faults have an important effect on reservoir formation and distribution in shallow formations with non- hydrocarbon generation in oil-rich fault-related basins （Jiang Youlu et al., 2015）. However, the fault transporting capacity cannot be evaluated quantitatively at present. Taking the Zhanhua Sag in the Bohai Bay Basin as an example, this work analyzed the factors influencing the transporting capacity of the oil-source faults and proposed a quantitative method for evaluating their transporting capacity.

The Application of Quantitative Methods to the Landscape Architecture Science of China

Influenced by traditional methods in the landscape architecture,the studies in landscape architecture science of China are fundamentally subjective and qualitative,and aim at aesthetic elements.The quantitative methods are commonly used in the physicism domain,and there is a great potential for the application of quantitative methods to landscape architecture science.The paper summarized the progress in the application of quantitative methods to landscape architecture science in China,in which the evaluation of eco-effect,sightseeing effect,result of disposing,economic benefit,engineering quality,greenbelts landscape,landscape patterns and usage of greenbelts,etc.were involved.It proves that quantitative methods have aroused general concern and have been well applied in certain fields and there are still some shortcomings in the researches to be improved.Finally,the important directions of Chinese landscape architecture science are proposed.

Quantitative Methods in Human Resource Management

This study searches for possibility of quantitative models in human resources management (HRM). Quantitative methods turn thinking into model structure. Coefficients and symbols represent variables of HRM. Markov Analysis, linear functions, logaritma, and Pisagor Models are explored in this study as a quantitative method. Thus, HR managers use these models to solve HR-related issues. Aim is fastness and effectiveness in management of HR. The study concludes that quantitative methods exist in HRM.

Novel damage constitutive models and new quantitative identification method for stress thresholds of rocks under uniaxial compression

Four key stress thresholds exist in the compression process of rocks,i.e.,crack closure stress(σ_(cc)),crack initiation stress(σ_(ci)),crack damage stress(σ_(cd))and compressive strength(σ_(c)).The quantitative identifications of the first three stress thresholds are of great significance for characterizing the microcrack growth and damage evolution of rocks under compression.In this paper,a new method based on damage constitutive model is proposed to quantitatively measure the stress thresholds of rocks.Firstly,two different damage constitutive models were constructed based on acoustic emission(AE)counts and Weibull distribution function considering the compaction stages of the rock and the bearing capacity of the damage element.Then,the accumulative AE counts method(ACLM),AE count rate method(CRM)and constitutive model method(CMM)were introduced to determine the stress thresholds of rocks.Finally,the stress thresholds of 9 different rocks were identified by ACLM,CRM,and CMM.The results show that the theoretical stress−strain curves obtained from the two damage constitutive models are in good agreement with that of the experimental data,and the differences between the two damage constitutive models mainly come from the evolutionary differences of the damage variables.The results of the stress thresholds identified by the CMM are in good agreement with those identified by the AE methods,i.e.,ACLM and CRM.Therefore,the proposed CMM can be used to determine the stress thresholds of rocks.

Artificial Immune Detection for Network Intrusion Data Based on Quantitative Matching Method

Artificial immune detection can be used to detect network intrusions in an adaptive approach and proper matching methods can improve the accuracy of immune detection methods.This paper proposes an artificial immune detection model for network intrusion data based on a quantitative matching method.The proposed model defines the detection process by using network data and decimal values to express features and artificial immune mechanisms are simulated to define immune elements.Then,to improve the accuracy of similarity calculation,a quantitative matching method is proposed.The model uses mathematical methods to train and evolve immune elements,increasing the diversity of immune recognition and allowing for the successful detection of unknown intrusions.The proposed model’s objective is to accurately identify known intrusions and expand the identification of unknown intrusions through signature detection and immune detection,overcoming the disadvantages of traditional methods.The experiment results show that the proposed model can detect intrusions effectively.It has a detection rate of more than 99.6%on average and a false alarm rate of 0.0264%.It outperforms existing immune intrusion detection methods in terms of comprehensive detection performance.

Review of Quantitative Methods Used in Chinese Educational Research,1978-2018

Purpose:This article reviews the development of quantitative methods in educational research in China since 1978.Design/Approach/Methods:For this summary and literature review,we used data from the China National Knowledge Infrastructure(CNKI),relevant books,and research output from the Graduate School of Education,Peking University.Findings:We divided the development of quantitative methods in Chinese educational research into four stages:the Startup Stage(1978–1988),the Gradual Application Stage(1989–1998),the Growth Spurt Stage(1999–2008),and the Integrated and Diverse Development Stage(2009–2018).Overall,the development of quantitative methods in Chinese educational research shows sustained innovation in numerous aspects,including research methods,data sources,utilization of advancements in computing technology and statistical software,and research topics.However,despite the relatively advanced state of quantitative methods,education measurement and evaluation require further attention.The questionnaire and experimental research data currently available indicate the need to improve the mining and utilization of big data.Moreover,while Chinese educational researchers have demonstrated their proficiency in using quantitative research methods,improvements remain to be made with respect to collaboration and sharing.Originality/Value:This article is the first to analyze systemically the development of quantitative methods in Chinese educational research.It provides an original summary of the development and characteristics of quantitative methods in educational research in China.

Developing biolmaging and quantitative methods to study 3D genome

The recent advances in chromosome configuration capture （3C）-based series molecular methods and optical super- resolution （SR） techniques offer powerful tools to investigate three dimensional （3D） genomic structure in prokaryotic and eukaryotic cell nucleus. In this review, we focus on the progress during the last decade in this exciting field. Here we at first introduce briefly genome organization at chromosome, domain and sub-domain level, respectively; then we provide a short introduction to various super-resolution microscopy techniques which can be employed to detect gcnome 3D structure. We also reviewed the progress of quantitative and visualization tools to evaluate and visualize chromatin interactions in 3D genome derived from Hi-C data. We end up with the discussion that imaging methods and 3C-based molecular methods are not mutually exclusive -- actually they arc complemental to each other and can be combined together to study 3D genome organization.

Quantitative research method for tectonization intensity:a case study in Tahe-Lunnan oilfield of Xinjiang

The research on tectonization intensity plays an important role in the analyses of basin evolution and hydrocarbon accumulation. At present, methods in this field are almost qualitative, and the quantitative one is still rarely reported. In this study, a quantitative research method for tectonization intensity is proposed. The research result on Tahe-Lunnan oilfield shows that this method can not only quantitatively express the tectonization intensity, but also qualitatively reflect the macroscopic deform property and the evolution history of strata. Therefore, it is an effective method for analyzing the characteristics of tectonization. In addition, the realization of the method also can provide qualitative information for studying the influence and control of tectonization on hydrocarbon accumulation.

Real-time quantitative optical method to study temperature dependence of crack propagation process in colloidal photonic crystal film

A real-time quantitative optical method to characterize crack propagation in colloidal photonic crystal film（CPCF）is developed based on particle deformation models and previous real-time crack observations. The crack propagation process and temperature dependence of the crack propagation rate in CPCF are investigated. By this method, the crack propagation rate is found to slow down gradually to zero when cracks become more numerous and dense. Meanwhile, with the temperature increasing, the crack propagation rate constant decreases. The negative temperature dependence of the crack propagation rate is due to the increase of van der Waals attraction, which finally results in the decrease of resultant force. The findings provide new insight into the crack propagation process in CPCF.

A Real-time Fluorescent Quantitative PCR Method for Detection of Genetically Modified Maize MON88017

In order to improve the standardized technical system of quantitative analyses for genetically modified organisms( GMOs) and protect China's bio-safety and reduce ecological risk,we establish a quantitative detection method for the genetically modified( GM) maize MON88017 using real-time fluorescent quantitative PCR. Meanwhile,the method is evaluated by several methodological indicators such as specificity,sensitivity,accuracy and uncertainty of measurement. The results show that the method has strong specificity in analysis of genetically modified maize MON88017. The mean value(1. 54%) repeatedly measured for 29 times with the relative deviation of 2. 7% was close to the real value(1. 50%) and the variation coefficient of the measured value was 0. 1. The tested recovery rate is 100% and the uncertainty of measurement is 0. 096. 5 copies of the MON88017 molecular fragment can be detected at 97. 5% confidence level. Consequently,the quantitative detection method established in this paper for the GM maize MON88017 has fairly high specificity,accuracy and sensitivity and this technology established in this paper can provide good technical support for the safety supervision of genetically modified organisms in China.

QUANTITATIVE ANALYSIS OF VERY WEAK ACID AND BASE BY pH-FIXED TITRATION METHOD

pH-fixed titration method for the determination of weak acids and bases has been studied in this paper.It is not necessary to know the ionization constant of weak acid or base and the concentration of titrant. This method had been applied to determine phenol,4-aminoantipyrine and glycine,whose ionization constants range from 10^(-10)to 10^(-12).The results were satisfactory.

Artificial Neural Network Method Based on Expert Knowledge and Its Application to Quantitative Identification of Potential Seismic Sources

In this paper,an approach is developed to optimize the quality of the training samples in the conventional Artificial Neural Network(ANN)by incorporating expert knowledge in the means of constructing expert-rule samples from rules in an expert system,and through training by using these samples,an ANN based on expert-knowledge is further developed.The method is introduced into the field of quantitative identification of potential seismic sources on the basis of the rules in an expert system.Then it is applied to the quantitative identification of the potential seismic sources in Beijing and its adjacent area.The result indicates that the expert rule based on ANN method can well incorporate and represent the expert knowledge in the rules in an expert system,and the quality of the samples and the efficiency of training and the accuracy of the result are optimized.

Critical Analysis of Increasingly Mathematical Economics in the Modern Society

This paper critically examines the escalating trend of mathematization in economics,highlighting its implications and controversies in contemporary economic research.While the application of sophisticated mathematical models and statistical techniques has enhanced the precision,rigor,and status of economics within academia and practical application,concerns arise regarding the potential oversimplification and detachment from real-world complexities.The adoption of mathematical tools has arguably led to a focus on theoretically tractable problems at the expense of those more relevant to practical economic and social issues.This paper explores both the benefits and limitations of this trend,discussing how the reliance on quantitative methods affects the innovation,comprehensibility,and application of economic theories.We argue for a balanced approach that fosters innovation by integrating qualitative insights and embracing interdisciplinary methods to ensure economics remains both rigorous and relevant to societal needs.

HRM and Quantitatives： Decision Tree and Vector Analysis in HRM Theory

Research topic of this paper is to discuss theory of Human Resources Management （HRM） and to discuss using of quantitative methods in HRM. Firstly, five variables establish HRM theory. They are HRM practices, positive organizational behaviors, individual performance, performance of business departments, and firm performance. Transactions among those variables enable Human Resources （HR） practitioners to apply HRM theory in their organizations. Secondly, this paper discusses use of quantitative methods in HRM. They are vector analysis and decision tree analysis. Those analyses enable HR practitioners to make effective HR decisions. Decision tree sets HR alternatives to efficiently implement HRM practices in organizations. Research question is how HR practitioners apply quantitative methods in department of HRM in firms. Finally this research comes out a conclusion that quantitative methods may be used in HRM.

Evaluation of Clinical Application of Chemiluminescence and Real-time,Fluorescence-based Quantitative PCR in Diagnosis of Epstein-Barr Virus lnfection

Objective:To compare the effects of clinical application of chemiluminescence and real-time,fluorescence-based quantitative PCR in the detection Epstein-Barr virus(EBV).Methods:The data of chemiluminescence and real-time fluorescent quantitative PCR.fromipaEsfwo were suspected of being infectea w1tn rito1 roro January 2016 to January 2019 in our hospital were analyzed.The specific stage of EBV infection was analyzed,and the differences in results of the two detection methods were compared.Results:Chemiluminescence method was used to detect EBV infection during the active phase.The sensitivity of the chemiluminescence method was 76.7%(56/73)and the real-time quantitative PCRmethod was 90.4%(66/73).There was a statistical difference between the two detection methods(P<0.05).Conclusion:There was no statistical difference in positive predictive values between the chemiluminescence method and the real-time,fluorescence-based quantitative PCR method in the detection of EBV infection,but the sensitivity of chemiluminescence method is slightly lower than the real-time quantitative PCRmethod.It is noteworthy that chemiluminescence method is convenient and fast while the real-time,fluorescence-based quantitative PCR method is more accurate,which can provide a more accurate reference for clinical treatment.

Application of the Quantitative Descriptive Analysis in Cosmetics Sensory Evaluation

The sensory evaluation method was introduced so late in China, and a complete system of this method has not built yet in cosmetics industry. In this article, the application of the Quantitative Descriptive Analysis method in the evaluation of the sensory assessment items are studied. With the SPSS reliability analysis, it was found that the Quantitative Descriptive Analysis method is not suitable for some sensory assessment items.

The Meaning of Divergence

The concept of the divergence is fundamental in electromagnetic field theory, yet they are especially difficult mathematical concepts. Understanding this concept requires strong spatial and abstract thinking. When teaching, through the graphical and quantitative methods presented herein, the significance of the divergence is displayed by a quantitative method for the first time. Through these methods, the concepts of the divergence can be grasped more easily. These explanations will be helpful for students to strengthen the understanding of this concept and has a certain reference significance.

Randomized Controlled Trials and Ph.D. Level Training in Educational Research

This invited paper reviews recent initiatives in teaching about randomized field trials at the graduate level in education research. Reports in a book on randomized trials by Mosteller and Boruch are used as a benchmark. The initiatives have been driven heavily by recent governmental emphasis on ＂evidence based policy＂ in education, criminology, welfare and other sectors. This policy has been backed, in the US at least, by substantial investments in mounting randomized controlled trials to evaluate curriculum packages and programs in grades K-12, crime prevention programs, welfare, and other work. Accelerated growth in randomized trials has entailed cross discipline pre-doctoral and post-doctoral institutes and graduate education programs aimed at enhancing the quality in trial design, execution, and analysis of results. Specific illustrations of graduate education in this area of statistics are taken mainly from experience at the University of Pennsylvania＇s Graduate School of Education and selected other institutions.

Sense of Coherence, Self-Disclosure, and Depression in Lung Cancer Patients

This study aimed to investigate the relationship between sense of coherence and depression and the mediating role of self-disclosure in lung cancer patients. Α cross-sectional study was conducted in “Sotiria” Chest Diseases Hospital, Greece, with a sample of 200 lung cancer patients. The administered questionnaires included demographic-medical information, SOC-13, Distress Disclosure Index, and CES-D scale. Analysis was performed by SPSS v.23 and PROCESS. Depression was common (41%) and negatively correlated to SOC (rho = -0.843, df = 198, p < 0.001), while self-disclosure did not mediate this relationship. Hierarchical linear regression analysis showed that patients with weak SOC, disease recurrence, metastases, low income, and receiving therapy in Day clinic had higher levels of depression. In conclusion, a strong SOC represents a protective factor against depression in lung cancer patients. Consequently, there is a need for targeted interventions, which should mainly increase SOC of these patients.