Quantitative Analysis Of Factors Research Articles

Conductivity analysis of hydraulic fractures filled with nonspherical proppants in tight oil reservoir

AbstractHydraulic fracturing is an effective way to exploit hydrocarbons in tight oil reservoir. The success of this technique lies on the creation of high conductivity channels for the oil and gas. Quantitative analysis of factors influencing the conductivity of propped fractures is significant for the design of the operation schedule. According to the definition of sphericity, cylindrical and planar proppants of different sphericity and sizes were presented. And disordered packs of nonspherical proppants in fractures of different widths were established by the discrete element method. The change of the proppant embedment and fracture width under different closure pressures were analyzed by the solid mechanics. During the fracture deformation, the pressure and velocity of the fluid flowing in fractures were simulated by Lattice‐Boltzmann method. Based on that, the effect of the proppant size, sphericity, and the fracture width on the permeability and conductivity of hydraulic fractures were investigated. The accuracy of the model was verified by the experimental data. The simulation results show that the fracture permeability and conductivity decrease with the decrease in the rock's Young's modulus, proppant size, and sphericity, and their stress sensitivity increases with the decrease in the rock's Young's modulus and the increase in the proppant size. Increasing fracture width can improve fracture conductivity more significantly than increasing fracture permeability. The permeability and conductivity of the fractures filled cylindrical proppants are higher than that of the fractures filled with planar proppants.

Quantitative Analysis of Factors Affecting the Event Rate in Glass Nanopore Sensors.

While the solid-state nanopore sensors have shown exceptional promise with their single-molecule sensitivity and label-free operations, one of the most significant challenges in the nanopore sensor is the limited analyte translocation event rate that leads to prolonged sensor response time. This issue is more pronounced when the analyte concentration is below the nanomolar (nM) range, owing to the diffusion-limited mass transport. In this work, we systematically studied the experimental factors beyond the intrinsic analyte concentration and electrophoretic mobility that affect the event rate in glass nanopore sensors. We developed a quantitative model to capture the impact of nanopore surface charge density, ionic strength, nanopore geometry, and translocation direction on the event rate. The synergistic effects of these factors on the event rates were investigated with the aim to find the optimized experimental conditions for operating the glass nanopore sensor from the response time standpoint. The findings in the study would provide useful and practical insight to enhance the device response time and achieve a lower detection limit for various glass nanopore-sensing experiments.

Faktor Perencanaan Suksesi Generasi Pertama Berbasis Family Business Enterprise (Studi Kasus pada Toko Emas di Kota Bandung)

Di kota Bandung terdapat banyak usaha yang didirikan oleh keluarga salah satunya toko emas. Pengusaha emas berpendapat usahanya memberikan prospek cerah dengan memilih generasi penerus yang berasal dari anggota keluarga. Namun peneliti harus mencari kebenaran tentang hal tersebut sehingga peneliti tertarik untuk melakukan penelitian ini. Tujuan penelitian ini adalah untuk mengetahui faktor-faktor yang mempengaruhi keputusan generasi pertama dalam pemilihan generasi penerus dengan perencanaan suksesi dalam bisnis keluarga agar bertahan dalam waktu yang lama.
 Elemen-elemen yang menjadi 24 variabel dalam penelitian perencanaan suksesi generasi pertama dalam bisnis keluarga yang dimaksudkan menggunakan enam teori diantaranya Alcorn (1982), John Ward (1998), Alan Carsrud (2006), Soedibyo (2007), Boyd, Royer, Pie dan Zhang (2015) dan Ghee, Ibrahim dan Halim (2015).
 Penelitian ini merupakan penelitian studi analisis faktor dengan pendekatan kuantitatif. Populasi diketahui peneliti melalui survey ke toko emas di kota Bandung sebanyak 120 populasi dan 60 responden. Data kemudian diolah dengan metode analisis faktor melalui bantuan SPSS versi 23 for Windows.
 Penelitian menghasilkan lima faktor yang mempengaruhi perencanaan suksesi generasi pertama untuk memilih generasi penerus dalam bisnis keluarga toko emas di kota Bandung. Kelima faktor tersebut adalah faktor generasi penerus yang kompeten sebesar 30,014%, faktor sasaran fokus utama sebesar 11,157%, faktor hubungan bisnis dengan keluarga sebesar 11,081%, faktor motivasi generasi pertama sebesar 11,044% dan faktor perencanaan dan kontrol suksesi sebesar 10,642%. Total keseluruhan sebesar 73,938%, sehingga terdapat faktor lain sebesar 26,02% yang mempengaruhi pemilihan generasi penerus bagi bisnis keluarga toko emas di kota Bandung.

Kings of The System: Determining the NBA Team(s) That Would Be the Best Fit for the Grinnell System Using Investment-Based Quantitative and Qualitative Analysis

The Grinnell is a fast-paced basketball playstyle that emphasizes a massive amount of high-value shots, stifling full-court defense, and full lineup substitutions in order to both force opponents into a high-octane shootout and to provide a non-stop spectacle for anyone watching. The has resulted in multiple NCAA records for most assists in a single game along with providing a game in which a Grinnell player scored an absurd 138 points in 36 minutes, a total unequaled at any professional or collegiate level in the United States. It is clear that The has merit in its current application, but does it have promise at the NBA level? This paper sought out the answer to that question, combining quantitative and qualitative analysis akin to that used in the investment field. The quantitative portion consisted of using NBA 2018-19 season data to build a factor model off of five key components of The and transforming them via normalization and vectorization. This resulted in an all-encompassing System Factor in order to see which NBA teams fared best with The System. This quantitative factor analysis resulted in four NBA teams being the top candidates. These teams were further winnowed down with a combination of topline quantitative statistics and qualitative perspectives, eliminating teams with too much downside, personnel uncertainty, and a lack of history with The itself. In the end, the Sacramento Kings emerged as the NBA team with the right combination of quantitative metrics and qualitative support to run The System.

A quantitative analysis of factors related to Taiwan teenagers’ smartphone addiction tendency using a random sample of parent-child dyads

The portability, sophistication and connectivity prompt users to revolve around multiple applications on the phones at all times. Teenagers are of particular concern because they are usually overoptimistic about their online activity management but underestimate the negative impacts. This study aims to address individual and parental factors related to teenagers' (mainly aged 13 to 18) smartphone addiction tendency (SAT) with a representative sample of parent-child dyads around Taiwan. We try to draw a holistic view of how Taiwan youngsters use their smartphones and how their parents mediate that use by surveying all possible factors related to that use. According to the analytical results, we ascertained that smartphone ownership and dissimilar purposes for surfing the Internet are associated with students' SAT. Online games and trade are related to younger students' SAT, while SNSs is associated with older students' SAT. Additionally, teenagers' cybersecurity knowledge regarding smartphones is negatively related to their SAT. Lastly, we found parent-reported mediation strategies are barely effective, and parents are even unaware of older students’ smartphone use. The implications for suitable interventions in family and school contexts are discussed followed by the analyses.

WOOD COLORIMETRY OF NATIVE SPECIES OF MYRTACEAE FROM A ARAUCARIA FOREST

Colorimetric parameters have potential to differentiate tree species through their wood type. Therefore, this can be used to aid the inspection of illegal trade. Thus, considering the need to identify species with precision and speed, this study aimed to explore the potential of these parameters in order to characterize wood of some species of native Myrtaceae from the Araucaria Forest: Campomanesia xanthocarpa Berg., Eugenia pyriformis Cambess., Myrcia retorta Cambess., and Plinia Peruviana (Poir.) Govaert. Twelve trees were collected randomly – three per species – for the removal of a disc at diameter at breast height (DBH). We took samples from three regions of the disc (next to the bark, intermediate and next to the pith) and analyzed them in three anatomical sections (transversal, radial and tangential) by the system CIE L*a*b* using a bench colorimeter. We analyzed the data based on the following criteria: test of means in order to differentiate species, quantitative factor analysis (considering the region of the disc and the anatomical section as factors), and principal components analysis (PCA). Then, we used the original spectrum and the values of parameters L*, a* and b* in order to verify the distribution of the species. The analysis determined that the species present different values for the colorimetric parameters. In addition, the factors region of the disc and anatomical section have specific influence for each species. Finally, the PCA indicated that only E. pyriformis differs from the others.

ENHANCING STRATEGIC PLANNING OF SCHOOL PROGRAM THROUGH SWOC ANALYSIS

This study aims to draw up a work program and guidelines for the state vocational high schools. This research used a mixed method (quantitative and qualitative) with SWOC analysis. Qualitative methods were used to obtain components of strengths, weaknesses, opportunities, and challenges through group interviews, observation, and the previous year's program documents. The sample consisted of 150 personnel involving the head of departments, school supervisors, headmasters, teachers, administration staff, guardianship of student organizations, alumni representatives, and parent representatives. Quantitative data collection was conducted through instrument in the form of questionnaires using a model of Likert scale. The obtained data were then grouped into components of the strengths, weaknesses, opportunities, and challenge of the schools. All of those components are tested first on their validity and reliability with 100 personnel as a sample of quantitative analysis. These four components are then analysed by quantitative Factor Analysis method based on Internal Factor Analysis Summary (IFAS) and the External Factor Analysis Summary (EFAS) to get the resultant value. The resultant value was then filled into Cartesian diagrams resulting in the organization’s position. The final result of the research is: The stages of strategic planning in the Indonesian vocational high schools, dominant factors of the schools at present conditions based on the resultant calculation, and the future strategic planning for vocational high schools in Indonesia. It is hoped that the result of this study can be beneficial for the policymaker, stake holder, school principals, and other researchers in related fields.&nbsp

ENHANCING STRATEGIC PLANNING OF SCHOOL PROGRAM THROUGH SWOC ANALYSIS

This study aims to draw up a work program and guidelines for the state vocational high schools. This research used a mixed method (quantitative and qualitative) with SWOC analysis. Qualitative methods were used to obtain components of strengths, weaknesses, opportunities, and challenges through group interviews, observation, and the previous year's program documents. The sample consisted of 150 personnel involving the head of departments, school supervisors, headmasters, teachers, administration staff, guardianship of student organizations, alumni representatives, and parent representatives. Quantitative data collection was conducted through instrument in the form of questionnaires using a model of Likert scale. The obtained data were then grouped into components of the strengths, weaknesses, opportunities, and challenge of the schools. All of those components are tested first on their validity and reliability with 100 personnel as a sample of quantitative analysis. These four components are then analysed by quantitative Factor Analysis method based on Internal Factor Analysis Summary (IFAS) and the External Factor Analysis Summary (EFAS) to get the resultant value. The resultant value was then filled into Cartesian diagrams resulting in the organization’s position. The final result of the research is: The stages of strategic planning in the Indonesian vocational high schools, dominant factors of the schools at present conditions based on the resultant calculation, and the future strategic planning for vocational high schools in Indonesia. It is hoped that the result of this study can be beneficial for the policymaker, stake holder, school principals, and other researchers in related fields.&nbsp

Quantitative Analysis of Factors Affecting Optimum Utilization of Antenatal Health Services Among Women of Reproductive Age in Nigeria

Les soins prenatals chez les femmes enceintes sont l'un des facteurs les plus importants de la reduire la morbidite maternelle, la mortalite, les traumatismes a la naissance et d'autres problemes de la puerperale. Dans le present article, les facteurs affectant l'utilisation des services de soins prenatals, la disponibilite de ces services, la perception des femmes a son egard, le niveau de sensibilisation, le taux de participation, les sources et types d'informations sur les services de soins prenatals chez les femmes des âge de procreer sont ete etudies. Les outls d'analyse descriptive tels que les tableaux, lees diagrammes a secteurs et a barres sont utilises pour la presentation des variables sociodemographiques et de recherche. Des tests d'hypotheses sous forme de tests d'association entre l'utilisation par les femmes des services de sante des soins prenatals et certaines variables demographiques telles que l'âge, l'education, la formation du conjoint, la religion, etc, sont abordes a un seuil de signification de 5%.

Quantitative Analysis of Factors Affecting Optimum Utilization of Antenatal Health Services Among Women of Reproductive Age in Nigeria

Quantitative Analysis of Factors Affecting Optimum Utilization of Antenatal Health Services Among Women of Reproductive Age in Nigeria

К ВОПРОСУ ОЦЕНКИ ВНЕШНЕПОЛИТИЧЕСКОГО ПОТЕНЦИАЛА ГОСУДАРСТВ В ПРОГНОЗНЫХ ИССЛЕДОВАНИЯХ

The article introduces an approach to identifying a state’s foreign policy potential and its components. It aims to assess the dynamics of the foreign policy potential and analyze foreign policy in the context of forecasting logic of states’ foreign policy behavior. The authors offer their own interpretation of a state’s foreign policy potential as a multidimensional and historically entrenched set of foreign policy resources, which interact with one another in varying degrees, as assets, means, possibility and capacity of a state to efficient use of its tangible and intangible advantages and project its strength externally. They evaluate the prospects and limitations of quantitative factor analysis in assessing foreign policy potential of states and specific foreign policy resources. Using contemporary United Kingdom and Spain as examples, the authors identify key (systemic) factors playing the role in their foreign policy potential transformation. Identifying such factors and detection of long-term political trends and risks of country development provide opportunities of predictive estimates not only for the foreign-policy analysis of specific states, but in a broader context of regional and international political processes.

Exploring variation in how ambulance services address non-conveyance: a qualitative interview study

ObjectivesThere is considerable variation in non-conveyance rates between ambulance services in England. The aim was to explore variation in how each ambulance service addressed non-conveyance for calls ending in telephone...

Dissecting the Dynamics of N-Linked Glycosylation in Fed-Batch Cultures of Chinese Hamster Ovary Cells Through Time Course Omics Analyses

N-linked glycosylation is a post-translational modification that affects potency, safety, immunogenicity and pharmacokinetic clearance of several therapeutic proteins including monoclonal antibodies (mAbs). A robust control strategy is needed to accurately dial in appropriate glycosylation profile during the course of a cell culture process. However, N-glycosylation dynamics remain insufficiently understood due to the lack of integrative and quantitative analyses of factors that influence the dynamics, including nucleotide sugar donors (NSDs), glycosyltransferases and glycosidases. Here, an integrative approach is taken employing multiple omics analyses to dissect the temporal dynamics of glycoforms produced during fed-batch cultures of CHO cells. Several pathways linked with NSD metabolism, such as glycolysis, TCA cycle and purine and pyrimidine biosynthesis exhibit significant temporal dynamics over cell culture period. The steps involving galactose and sialic acid addition were determined as temporal bottlenecks in the N-glycosylation process. Our results show that galactose and not manganese is able to mitigate the temporal bottleneck, despite both being known effectors of galactosylation. Another bottleneck step, sialylation, is primarily governed by the sialyltransferases, but is also affected significantly by galactosylated precursors and the auto-regulation of CMP-sialic acid biosynthesis.

Quantitative analyses of factors related to anxiety and depression in patients with retinitis pigmentosa.

The purpose of this study is to determine the factors related to anxiety and depression in patients with retinitis pigmentosa (RP). The status of anxiety and depression was determined in RP patients with the Hospital Anxiety and Depression Scale (HADS) questionnaire which consisted of subscales for HADS-anxiety (HADS-A) and HADS-depression (HADS-D). The vision-specific quality of life (VSQOL) was assessed with the National Eye Institute Visual Function Questionnaire 25 (NEI-VFQ25). The correlations between the HADS-A or HADS-D scores and vision-related clinical parameters such as the best-corrected visual acuity (BCVA), Functional Acuity Score, Functional Field Score, Functional Vision Score, the NEI- VFQ25 subscale score were determined. The socioeconomic status, such as the work status and membership in the RP society, was investigated to determine the factors related to the HADS-A and HADS-D scores. One hundred and twelve RP patients (46 men and 66 women) with mean age of 60.7±15.4 (standard deviation) years were studied. The HADS-A score was not significantly correlated with any visual functions but was significantly correlated with the general health condition (r = -0.34, P<0.001) and the role limitation (r = -0.20, P = 0.03) of the NEI-VFQ25 subscale. The HADS-D score was significantly correlated with all the visual functions (r = -0.38 to 0.29, P<0.001), the NEI-VFQ25 subscale score (r = - 0.58 to -0.33, P<0.001) by Spearman’s correlations. The HADS-A score was significantly higher in the members of the RP society than in non-members (P = 0.013). The mean HADS-D score of employed individuals was significantly lower than that of unemployed ones (P = 0.001) by the Mann-Whitney U test. The results indicate that visual function impairments and vision-related quality of life are associated with a depressive state, and the general health condition is related to anxiety in RP patients. Being employed may be strongly correlated with the degree of depression in RP patients.

A Quantitative Analysis of Factors Affecting Migration to Disappearing Local Municipalities in Japan

In “Disappearing Localities”, Masuda raised an alarm that 523 local municipalities in Japan will most likely disappear by 2040 due to the declining population. However, the study seemingly overlooked the phenomenon of reverse migration to rural areas. This process of “counter-urbanization”, as it is known, has been widely discussed lately, but researched little. This research attempted to identify factors affecting migration to 371 local municipalities using econometric analysis. It demonstrated that migrations are affected by factors such as financial health index, agriculture sales, consumer price index, subsidies for senior welfare and primary industries, and the number of preschools and clinics.

Implementation of simulation for the analysis of available layout alternatives of manufacturing plant

The analysis of quantitative factors is very complicated and necessary part for any industrial/practical problem. In the present study a simulation based approached has been proposed for analysing such data. In the proposed approach various layout models have been developed and analysed based on some selected factors. The % machine utilisation, total exits, total average time in the system, and total average time blocked have been considered as factors for the evaluation. There can be more than one alternative layout for one industry. The proposed study demonstrates that the performance of the each alternative is highly affected by some factors (i.e. % machine utilisation). The effect of some factors are ignorable on the performance of the layout, it is one of the output of the proposed study.

Quantitative analysis of factors that affect oil pipeline network accident based on Bayesian networks: A case study in China

Some factors can affect the consequences of oil pipeline accident and their effects should be analyzed to improve emergency preparation and emergency response. Although there are some qualitative analysis models of risk factors’ effects, the quantitative analysis model still should be researched. In this study, we introduce a Bayesian network (BN) model of risk factors’ effects analysis in an oil pipeline accident case that happened in China. The incident evolution diagram is built to identify the risk factors. And the BN model is built based on the deployment rule for factor nodes in BN and the expert knowledge by Dempster-Shafer evidence theory. Then the probabilities of incident consequences and risk factors’ effects can be calculated. The most likely consequences given by this model are consilient with the case. Meanwhile, the quantitative estimations of risk factors’ effects may provide a theoretical basis to take optimal risk treatment measures for oil pipeline management, which can be used in emergency preparation and emergency response.

Grey Relational Grade Based Quantitative Analysis of the Factors Influencing the Load Characteristics of A Power Grid

Regarding analysis of load characteristics of a power grid, there are multiple factors that influence the variation of load characteristics. Among these factors, the influence of different ones on the change of load characteristic is somewhat different, thus the degree of influence of various factors needs to be quantified to distinguish the main and minor factors of load characteristics. Based on this, the grey relational analysis in the grey system theory is employed as the basis of mathematical model in this paper. Firstly, the main factors affecting the load characteristics of a power grid are analysed. Then, the principle of quantitative analysis of the influencing factors by using grey relational grade is introduced. Lastly, the load of Guangzhou power grid is selected as the research object, thereby the main factor of temperature affecting the load characteristics is quantitatively analysed, such that the correlation between temperature and load is established. In this paper, by investigating the influencing factors and the degree of influence of load characteristics, the law of load characteristics changes can be effectively revealed, which is of great significance for power system planning and dispatching operation.

Impact of radius and skew angle on areal density in heat assisted magnetic recording hard disk drives

This study aims to investigate the impact that factors such as skew, radius, and transition curvature have on areal density capability in heat-assisted magnetic recording hard disk drives. We explore a “ballistic seek” approach for capturing in-situ scan line images of the magnetization footprint on the recording media, and extract parametric results of recording characteristics such as transition curvature. We take full advantage of the significantly improved cycle time to apply a statistical treatment to relatively large samples of experimental curvature data to evaluate measurement capability. Quantitative analysis of factors that impact transition curvature reveals an asymmetry in the curvature profile that is strongly correlated to skew angle. Another less obvious skew-related effect is an overall decrease in curvature as skew angle increases. Using conventional perpendicular magnetic recording as the reference case, we characterize areal density capability as a function of recording position.

A Quantitative Analysis of Factors Influencing Ease of Formation and σ-Bonding Strength of Oxa- and Thia-N-Heterocyclic Carbenes.

The index described previously (carbene relative energy of formation) has been extended to oxygen and sulfur heterocycles. This provides a quantitative overview of factors determining ease of formation of (i) neutral N-heterocyclic carbenes (NHCs) by deprotonation of heterocyclic salts and (ii) anionic NHCs by deprotonation of heterocyclic mesomeric betaines. The influence of the nature and ring position of oxygen and sulfur is discussed for a range of known and unknown systems. Attention is directed to unexplored systems of potential interest.