Combined Analysis Method Research Articles

Các yếu tố ảnh hưởng đến quyết định đầu tư chứng khoán của thế hệ Z tại Thành phố Hồ Chí Minh

The growing number of young people of Generation Z (generation that is technologically knowledgeable and sensitive to information) who are conscious of investment among themselves is a preferred market compared to other markets. The purpose of this study was to identify the factors and their impact on Generation Z’s stock investment decisions in Ho Chi Minh City. The purpose of this study is to determine the influencing factors and their influence on the stock investment decision of Generation Z in Ho Chi Minh City. The study uses the combined method of principal component analysis (CPA) and multi- layer straight-forward network structure (MLP: Multi Layer Perceptron). The analysis results identify five factors affecting the stock investment decision of Gen Z in Ho Chi Minh City, in order, including: Risk perception factor, Crowd psychology factor, Financial knowledge factor Investment excitement factor, Trading system factor.

Identification of the key odor-active compounds responsible for varietal smoky aroma in wines made from the East Asian species

A smoky aroma was found in wines made from East Asian species that had not been treated with oak products or exposed to smoke. In this study, a combined method of sensory analysis and quantitation of aroma compounds was used to identify the chemical basis of this smoky aroma. Syringol, eugenol, 4-ethylguaiacol, and 4-ethylphenol were confirmed as the key odor-active compounds contributing to the varietal smoky notes in wines of East Asian species. The concentrations of these compounds showed significant variation between grape species. The highest levels of syringol were found in Vitis amurensis wines, with an average of 178.8 μg/L. The average concentration of eugenol in V. davidii wines was 101.5 μg/L, about 10 times higher than in other species. 4-Ethylphenol and 4-ethylguaiacol were both abundant in the wines of the East Asian species. The results of the sensory interaction between the four compounds showed a complete addition effect for eugenol, a partial addition effect for syringol, and a hyper-addition effect for 4-ethylguaiacol and 4-ethylphenol on the smoky attribute.

A combined method for stability analysis of linear time invariant control systems based on Hermite‐Fujiwara matrix and Cholesky decomposition

AbstractIn this paper, we have developed an integrative method for checking the stability of linear time‐invariant (LTI) systems as well as nonlinear continuous‐time ones. In our method, we first apply the iterative Faddeev–Leverrier algorithm to obtain the characteristic polynomial of the LTI system. Subsequently, the associated Hermite‐Fujiwara matrix will be evaluated by a particularly efficient technique for the calculation of the Bézoutian matrices. The positive‐definiteness of the Hermite‐Fujiwara form, as the stability criterion, is next tested by performing the Cholesky decomposition. Our method is extended to assess the local stability of nonlinear continuous‐time systems with the help of the Jacobian matrix concept. The proposed method is demonstrated to approximately be 2.2 times faster than the classical Hurwitz algorithm in average, at least for matrices with dimensions less than 40, according to a performed central processing unit (CPU) time analysis. For the sake of illustration, four numerical examples are given, including dynamical models for a real‐world hydrolysis reactor and a well‐mixed bioreactor.

Using the meteorological early warning model to improve the prediction accuracy of water damage geological disasters around pipelines in mountainous areas

This paper focuses on the threat of water damage geological disasters brought by the complex terrain along the long-distance natural gas pipeline. The role of rainfall factors in the occurrence of such disasters has been fully considered, a meteorological early warning model for water damage geological disasters in mountainous areas based on slope units has been constructed to improve the prediction accuracy of such disasters and timely early warning and forecasting. An actual natural gas pipeline in a typical mountainous area of Zhejiang Province is taken as an example. The hydrology-curvature combined analysis method is chosen to divide the slope units, and the SHALSTAB model is used to fit the slope soil environment to calculate the stability level. Finally, the stability level is coupled with rainfall data to calculate the early warning index for water damage geological disasters in the study area. The results show that compared with the separate SHALSTAB model, the early warning results coupled with rainfall are more effective in predicting water damage geological disasters. The early warning results are compared with the actual disaster points, among the nine actual disaster points, most of the slope units around seven disaster points are in the state of needing early warning, the early warning accuracy rate reaches 77.8 %. The proposed early warning model can carry out targeted deployment in advance according to the divided slope units, and the prediction accuracy of geological disasters induced by heavy rainfall weather is significantly higher and more suitable for the actual location of the disaster point, which can provide a basis for accurate disaster prevention in the research area and areas with similar geological environments.

Experimental and kinetic modeling study of low-temperature oxidation of n-pentane

Attractiveness in advanced low-temperature combustion engines drives a constantly updated understanding of low-temperature oxidation chemistry. In this work, the low-temperature oxidation chemistry of n-pentane in two jet-stirred reactors at atmospheric pressure and in the temperature range of 500–825 K was investigated using combined analysis methods of synchrotron vacuum ultraviolet photoionization mass spectrometry, gas chromatography, and Fourier transform infrared spectroscopy. Furthermore, the gaseous mixture from JSR was collected in acetonitrile for subsequent product characterization using flow injection analysis, high-pressure and ultra-high-pressure liquid chromatography coupled to a Thermo Scientific™ Orbitrap® Q-Exactive high-resolution mass spectrometry. Numerous intermediate species were identified by these analytical methods, which contributed to unraveling the low-temperature oxidation reaction network of n-pentane. A detailed n-pentane model was tentatively developed to reduce deviations between experimental measurements and model predictions by updating the rate constants of C5 keto-hydroperoxide decomposition, C5 hydroperoxy cyclic ether decomposition, and Korcek reactions of C5 keto-hydroperoxide, and by introducing pressure-dependent rate constants for the reaction classes of Q˙OOH + O2, Q˙OOH decompositions, concerted HȮ2-elimination of RȮ2, C5 keto-hydroperoxide decomposition, C5 hydroperoxy cyclic ether decomposition, and Korcek reactions of C5 keto-hydroperoxide, and by adding more detailed sub-mechanisms for C5 cyclic ethers and C5 keto-hydroperoxides. This updated model was validated against a set of available experimental data, including jet-stirred reactor species data and ignition delay times. These exploratory updates of the kinetic model reveal the considerable influence of the rate constants of hydroperoxide decomposition and the pressure-dependent rate constants of key reaction classes on the kinetic model predictions, highlighting the future demands for high-precision quantum chemistry calculations of the pressure-dependent rate constants of the aforementioned reaction classes to reduce mechanism uncertainties and to develop accurate and robust chemical kinetic models.

A New Galactoglucomannan from the Mycelium of the Medicinal Parasitic Fungus Cordyceps cicadae and Its Immunomodulatory Activity In Vitro and In Vivo.

A new galactoglucomannan (C-0-1) was purified from the medicinal parasitic fungus of Cordyceps cicadae using an anion-exchange column and gel permeation column. The results of high-performance liquid chromatography and high-performance gel permeation chromatography indicated that C-0-1 consists of galactose, glucose, and mannose in a ratio of 5:1:4 and has a molecular weight of 23.3 kDa. The combined structural elucidation analysis methods including partial acid hydrolysis, methylation analysis, and NMR experiments revealed that C-0-1 was a comb-like polysaccharide with a core structure including (1→2)-α-D-Manp residues in the backbone and branches at O-6 of the main chain. (1→4)-α-D-Glcp, (1→2)-β-D-Galf, (1→2,6)-β-D-Galf, and terminal β-Galf were located at the side chains. An in vitro experiment using RAW 264.7 cells indicated that C-0-1 exhibits good immunomodulatory activity by enhancing inducible nitric oxide synthase secretion and the production of some major inflammatory cytokines. On inhibiting the cytokine production using anti-pattern recognition receptors antibodies, it was revealed that the activation of macrophages is mainly carried out by C-0-1 through the mannose receptor. Toll-like receptor 4 and Toll-like receptor 2 were also involved in this identification process. An in vivo experiment on immunosuppressive mice treated with cyclophosphamide indicated that C-0-1 improves the secretion of serum-related cytokines (IFN-γ, TNF-α, IL-2, IL-4, and IL-10) and affects the balance of T helper cells Th1/Th2. Given the structural and bioactivity similarity between Cordyceps cicadae and Cordyceps sinensis, we can conclude that Cordyceps cicadae could be used as an important medicinal fungus like Cordyceps sinensis.

Study on Factors Affecting Remote Sensing Ecological Quality Combined with Sentinel-2

Reasonable allocation of urban resources can effectively control changes in ecological quality. This study used Sentinel-2 images, taking urban functional areas as the dividing scale, and combined spatial analysis, statistics, and other relevant methods to explore the factors influencing remote sensing ecological quality in Puxi, Shanghai, China. Landsat-8 and high-resolution Sentinel-2 data fusion achieved more refined remote sensing ecological index (RSEI) distribution data, which is of great significance for ecological quality exploration in small areas; the degree of influence of the selected research factors on the RSEI was spectral index > building > social perception > terrain. The R-value of the soil-adjusted vegetation index (SAVI) was 0.970, and it exerted the strongest influence. The R-value of the average building height was 0.103, indicating that it had the weakest influence. The interactions among the selected factors were mainly two-factor and nonlinear enhancements. Most factor combinations exhibited two-factor enhancement. There were six groups of factor combinations for nonlinear enhancement, of which five were related to the average building height. The results of the present study provide a reference for multi-path ecological quality control in small-area regions.

Tailored rigid-flexible interphase of M40X composites via block copolymers: A combined method of experimental analysis and molecular dynamic simulation

The rigid-flexible interphase was constructed by polyamide acid-polyether amine block copolymer with various ratios of rigid/flexible segments (PAE20, PAE10, PAE5), and the correlation of rigid/flexible proportion with interfacial properties of M40X composites was explored via the combined method of experiments and molecular dynamic (MD) simulation. As the proportion of flexible segments increased, the PAE-CF surface exhibited improved chemical activity and uniform coverage. The interfacial simulation presented a distribution plateau of rigid backbones in the interphase of PAE10-CF/EP composite, corresponding to the experimentally-verified double transit-modulus platform, which indicated that the spatial homogeneity of the stable crosslinked networks facilitated the gradient interphase stiffening. The graduated interfacial structures contributed to 55.25%, 179.31% increment of simulated interfacial shear stress (ISS), and 7.96%, 19.03% enhancement in interfacial shear strength (IFSS) in comparison with those of PAE20-CF/EP and PAE5-CF/EP composites. The interphase reinforcing mechanisms were investigated by interfacial residual stress and toughness via experimental analysis and theoretical calculation. Compared with the pristine CF composite, the interfacial residual stress and interfacial toughness were improved by 26.4% and 165.6% in PAE10-CF/EP composite, respectively. The integration of stress transfer capacity with energy dissipation efficiency was achieved by the optimal rigid/flexible ratio, which contributed to the balance between the interfacial stiffness and toughness of M40X composites.

Stress and deformation control of prestressed concrete beams with corrugated web

Under unidirectional loading, the material composition and joint arrangement of prestressed concrete beams with corrugated steel webs are determined by deformation stress parameters. Furthermore, using the combined analysis method of longitudinal loading and mechanical parameters, a stress and deformation control model of prestressed concrete beams with corrugated steel webs under unidirectional loading is established. In this paper, the corrugated steel webs are studied experimentally and theoretically, and numerical simulations are carried out. In this paper, by establishing the relationship between the grain friction angle and roughness of corrugated steel web prestressed concrete beams under uniaxial strain and using concrete loading mode, the forces of corrugated steel web prestressed concrete beams under uniaxial strain are calculated and adaptively regulated. The experimental results show that the algorithm can accurately estimate and control the deformation and stress of Prestressed concrete beams under uniaxial strain. The grain size parameters of prestressed beams with corrugated steel webs under unidirectional loading were studied, and their mechanical properties were optimized.

Comparative study on the globally optimal performance of cryogenic energy storage systems with different working media

Cryogenic energy storage (CES) has garnered attention as a large-scale electric energy storage technology for the storage and regulation of intermittent renewable electric energy in power networks. Nitrogen and argon can be found in the air, whereas methane is the primary component of natural gas, an important clean energy resource. Most research on CES focuses on liquid air energy storage (LAES), with its typical round-trip efficiency (RTE) being approximately 50% (theoretical). This study aims to explore the feasibility of using different gases as working media in CES systems, and consequently, to achieve a high system efficiency by constructing four steady-state process models for the CES systems with air, nitrogen, argon, and methane as working media using Aspen HYSYS. A combined single-parameter analysis and multi-parameter global optimization method was used for system optimization. Further, a group of key independent variables were analysed carefully to determine their reasonable ranges to achieve the ideal system performance, that is, RTE and liquefaction ratio through a single-parameter analysis. Consequently, a multi-parameter genetic algorithm was adopted to globally optimize the CES systems with different working media, and the energy and exergy analyses were conducted for the CES systems under their optimal conditions. The results indicated the high cycle efficiency of methane and a low irreversible loss in the liquefaction cycle. Moreover, the Joule-Thomson valve inlet temperature and charging and discharging pressures considerably affected the system performance. However, exergy loss in the CES system occurred primarily in the compressor, turbine, and liquefaction processes. The maximum optimal RTE of 55.84% was achieved in the liquid methane energy storage (LMES) system. Therefore, the LMES system is expected to exhibit potential for application in the CES technology to realize the integration of natural gas pipelines with renewable power grids on a large scale. Moreover, the results of study have important theoretical significance for the innovation of the CES technology.

Accurate Extraction of Cableways Based on the LS-PCA Combination Analysis Method

In order to maintain a ski resort efficiently, regular inspections of the cableways are essential. However, there are some difficulties in discovering and observing the cable car cableways in the ski resort. This paper proposes a high-precision segmentation and extraction method based on the 3D laser point cloud data collected by airborne lidar to address these problems. In this method, first, an elevation filtering algorithm is used to remove ground points and low-height vegetation, followed by preliminary segmentation of the cableway using the spatial distribution characteristics of the point cloud. The ropeway segmentation and extraction are then completed using the least squares-principal component combination analysis method for parameter fitting. Additionally, we selected three samples of data from the National Alpine Ski Center to be used as test objects. The real value is determined by the number of point clouds manually deducted by CloudCompare. The extraction accuracy is defined as the ratio of the number of point clouds extracted by the algorithm to the number of point clouds manually extracted. While the environmental complexities of the samples differ, the algorithm proposed in this paper is capable of segmenting and extracting cableways with great accuracy, achieving a comprehensive and effective extraction accuracy rate of 90.59%, which is sufficient to meet the project’s requirements.

Problems of Automatic Processing of Scientific Texts based on Extraction of Information from Encyclopedias of Relevant Domain Areas

The article discusses the problems arising in the automatic processing of scientific texts and presents the results of work on creating a combined method for aspect-oriented analysis of scientific texts in the field of fundamental disciplines, taking into account both knowledge of the subject area and statistical methods of text processing. Thematic encyclopedias, which are not only a source of professional scientific terminology, but are considered to be an information resource for extracting knowledge about the subject area, are proposed to be used as training data. The work offers the structure of templates designed to extract information from the partially structured text of the encyclopedia, considers the structure of extracted sets of professional terms, offers the algorithm of formation of semantic relationships between special terms. The process of knowledge extraction in this paper is demonstrated on the example of processing four encyclopedias: mathematical, physical, chemical, medical. The general principles of the formation of domain scientific terminology are highlighted, and statistical data on the terminological composition in each of the examined areas is given. Within the framework of the conducted research on the basis of the texts of encyclopedias the basic semantic graphs of the corresponding scientific fields with the relations between the professional terms introduced on them are constructed. Basic graphs accumulate knowledge about the scientific field and are intended for the subsequent thematic analysis of unstructured texts of scientific articles. The Implemented algorithm of extraction of semantics of the given scientific text is based both on amplification of weights of nodes — terms of the applied domain, and on the correction of semantic relations between the nodes of the graph according to the processed text. The results of experiments on automatic construction of the list of keywords of the article are given. The results were compared with the list of keywords specified by the author of the article. It should be noted that the relevance of correctly extracted terms is mainly determined by semantic links in the basic domain graph, and depends significantly less on the number of keywords in the original article, which demonstrates the advantage of the proposed combined method compared with a simple frequency analysis. The sample analysis of the texts of the articles on mathematics showed good accuracy in the extraction of key terms compared to the list of keywords specified by the author of the article.

Research on urban road traffic safety evaluation based on the combined weight topsis method

In this paper, an index evaluation system on traffic safety is constructed based on accident indicators and hidden danger indicators, combined with the AHP-EMW combined weight method for index weight analysis, which effectively solves the influence of subjective extremum deviation on weight accuracy, and uses the Topsis method to conduct traffic safety evaluation on 10 urban roads, conducts case verification, and proposes suggestions and measures to improve urban road traffic safety according to the evaluation results, providing a certain reference for the research of urban road traffic safety.

Proposing and Testing a combined Social Media Metrics’ Analysis Method for Digital Marketing: the case of WeWork

Proposing and Testing a combined Social Media Metrics’ Analysis Method for Digital Marketing: the case of WeWork

Study of the diffusion properties of zeolite mixtures by combined gravimetric analysis, IR spectroscopy and inversion methods (IRIS).

We report the development of a new method of investigation of the mass transport properties of acidic zeolite-based materials aiming to overcome the limitations of classical approaches. It consists in hyphenating gravimetric analysis and infrared spectroscopy. The former allows assessing the diffusion from the gas phase to all the porosity, while IR allows for selective assessment of diffusion to the zeolite active sites located in the micropores. Furthermore, the data are processed by an original methodology allowing the recovery of the distribution of diffusion domains by inversion of the integral equations describing the uptake curves or the evolution of the infrared spectra. The combination of gravimetric analysis and IR spectroscopy makes it possible to monitor and distinguish diffusion within the various components of the material. The methodology has been applied to the isooctane uptake in the mechanical mixture of FAU and MFI zeolites. Analysis of both gravimetric uptake curves and evolving infrared spectra allows distinguishing and assigning diffusion domains to the H-FAU and H-MFI components of the mixture, with high and low effective diffusion rate constants, respectively. The advantages and limits of the methodology are discussed.

Changes in the recreational physical activity (RPA) behaviours caused by COVID-19 lockdown – a case study of Poland

ABSTRACT This article aims to describe, explain and compare the changes in Poles’ recreational physical activity (RPA) behaviours that emerged in response to the restrictions introduced by the Covid-19 pandemic. The literature review revealed gaps regarding this subject. Of particular interest is taking into account the comparison of both the national and international context and the comprehensive approach to explaining the mechanism of change. Based on the literature, the theoretical framework was developed, which was then used to design an online questionnaire. The questionnaire was conducted from 20 May to 31 October 2020 and included 533 respondents. To analyse the data, a combination of quantitative and qualitative analysis methods was used (descriptive statistics and grounded theory techniques). Research has shown that RPA behaviours changed temporally or permanently. The behaviours were partially differentiated by gender and age. In comparison to other countries, it seems to be a result of the range and strictness of the introduced restrictions and national culture. The novelty of the work consists of the combined data analysis methods, which allow for an explanation of the mechanism of changes and a comparison of results with other countries.

Community pharmacists as antimicrobial guardians and gatekeepers – A qualitative study of the perspectives of pharmacy sector stakeholders

BackgroundCommunity pharmacists, as primary care providers, are an underutilised resource in antimicrobial stewardship (AMS). Primary care plays an important role in tackling antimicrobial resistance (AMR) as the principle of balancing access to antimicrobials while ensuring optimal use is agnostic to health setting. Understanding the sector's perceptions and practices towards AMS involvement is a continuing focus area of research. However, there is an opportunity to understand the sociological factors which influence the profession's contribution to stewardship practice, particularly across a broader spectrum of sector stakeholders at the individual, practice, system, and policy levels. ObjectiveTo explore stakeholders' perceptions of the Australian community pharmacy sector's AMS involvement. MethodsSemi-structured interviews were conducted with fifteen key informants from the Australian community pharmacy sector. Participants' insights were invited across three broad areas: (1) understanding of AMR and AMS; and the (2) current and (3) future state of community pharmacy's AMS involvement. Interviews were audio-recorded, transcribed verbatim and analyzed using a combined method of inductive (informed by the Theoretical Domains Framework) and deductive thematic analysis. ResultsPerceptions on promoting community pharmacists' AMS involvement within their existing role in promoting the quality use of medicines were heard. Adopting an antimicrobial guardian or gatekeeper role was perceived as influenced by the timing of their interaction with a patient either prior to, or post-consultation with a general practitioner (GP). Suggestions that the profession's potential and actual role in AMS could be challenged or even delimited due to lack of access to completeness of clinical information, and perceived consequences from a clinical and professional engagement perspective were also heard. ConclusionCollaborative partnerships between GPs and community pharmacists, framing stewardship within a quality use of medicines agenda, and highlighting connections between pharmacists' professional services such as minor ailments are key elements enabling community pharmacist's antimicrobial gatekeeper and guardian role.

Bolt-Cable-Mesh Integrated Support Technology for Water Drenching Roadway in Thick Coal Seam.

Aiming at the problems of large deformation and difficult control of the mining roadway water drenching in a thick coal seam, the principle of double-arch zoning cooperative surrounding rock control is studied by using the combined method of theoretical analysis, numerical simulation, and industrial experiment. The water-rock interaction of the surrounding rock of water-drenching roadway is proposed, taking into account the damage to the mechanical parameters of the surrounding rock caused by soaking water. The water-mechanical-damage coupling model for surrounding rock of a coal seam roadway is constructed, and is numerically solved by the code development using the FISH language. The principle of "high prestressed bolt-cable-mesh" zone coordinated control is revealed, and the existence of a compressive stress arch is verified by FLAC3D software. The three support schemes were compared and analyzed by numerical simulation software. We affirmed the bolt length of 2400 mm, spacing of 0.9 m, row spacing of 1 m, cable length of 7300 mm, and arrangement 3-2-3 as the optimal support scheme and applied this scheme in the Zhangcun Coal Mine. The results show that the maximum deformation of the roadway roof is 142 mm, and the ultimate convergence of the two sides is 83 mm. The surrounding rock has been effectively controlled.

A Study on Key Disciplinary Parameters of Artificial Intelligent-Based Analysis Method for Dynamic Response Prediction of Floating Offshore Wind Turbines

Abstract The dynamic performance prediction of floating offshore wind turbines (FOWTs) is a challenging task, as the existing theories might not be fully reliable for FOWTs due to the high nonlinearities and coupling effects. The artificial intelligent (AI) method gives a promising solution for this issue, and Chen and Hu proposed a novel AI-based method, named SADA (software-in-the-loop combined artificial intelligence method for dynamic response analysis of FOWTs), to overcome these challenges. This paper addresses a further and in-depth investigation of the key technologies of the key disciplinary parameters (KDPs) in the SADA method to obtain a novel and accurate analysis method for dynamic responses prediction of FOWTs. First, the categorization of KDPs is introduced, which can be divided into three categories: environmental KDPs, disciplinary KDPs, and specific KDPs. Second, two factors, the number of KDPs and boundary adjustment of KDPs, are investigated through the reinforcement learning algorithm within the SADA method. Basin experimental data of a spar-type FOWT is used for AI training. The results show that more proper KDPs set in the SADA method can lead to higher accuracy for the prediction of FOWTs. Besides, reasonable boundary conditions will also contribute to the convergence of the algorithms efficiently. Finally, the instruction on how to better choose KDPs and how to set and adjust their boundary conditions is given in the conclusion. The application of KDPs in the SADA method not only provides a deeper understanding of the dynamic response of the entire FOWTs system but also provides a promising solution to overcome the challenges of validation.

Investigation of the sulfur enrichment mechanism on the catalyst in the FCC process of waste tire pyrolytic oil

The high sulfur content of polymer solid waste (like waste tires) pyrolytic oil limits its application as feedstock in fluidized catalytic cracking (FCC), while there are fewer studies on the effect of sulfur on catalysts. To explore the mechanisms of sulfur enrichment on the catalyst, the distribution characteristics of sulfur in the spent catalysts were investigated and the conversion behavior of sulfur during the FCC process of the waste tire pyrolytic oil was analyzed. The results showed that the species of sulfur in the catalyst before and after the FCC process could be well distinguished by using combined physicochemical analysis method. Sulfur mainly existed in the form of sulfates in the spent catalysts and part of the sulfur was confirmed to be bound to the catalysts matrix. The enrichment of sulfur in the catalysts was probably due to the direct and indirect migration of sulfur compounds in waste tire pyrolytic oil in the catalytic cracking stage, rather than SO2 adsorption on the catalyst in the flue gas purification stage. Furthermore, it was suggested that the sulfur-containing compounds reacted with the oxygen-containing functional groups to form sulfones and/or sulfates on the surface of the catalysts. These findings contribute to the clean utilization of solid waste and to a better understanding of the catalyst deactivation mechanism in the FCC processes.