Simultaneous Approach Research Articles

Analysis of Catch and Fishermen Family Welfare in West Sumatra Province: Simultaneous Equation Approach

Analysis of Catch and Fishermen Family Welfare in West Sumatra Province: Simultaneous Equation Approach

Radiovirotherapy at twenty

Radiovirotherapy at twenty

RETRACTED: Impact of international trade on crude oil in political unstable economies: Evidence from quantile regression

The current study examined the relationship between crude oil and political stability. The study relied on the global crude oil network from 2000 to 2020 for 100 countries. The underlying premise is that oil dependence can lead to political instability. We distinguish between two types of oil dependence: economic dependence, which occurs when crude oil is the primary source of income, and energy dependence, which occurs when oil dominates a country's energy mix. In the second case, countries that rely on oil imports to meet domestic oil demand are much more reliant on energy sources and, as a result, are indirectly exposed to the instability of oil-exporting nations. Using a simultaneous quantile regression approach and the concepts of out-degree and in-degree centrality, the empirical results show that reliance on oil for both economic and energy needs can be dangerous to internal stability. The findings support the resource curse hypothesis for both oil-exporting and oil-importing countries. The latter import political unrest alongside oil, especially when crude oil is primarily used to meet their energy needs.

Comparing workload and performance during demanding push force and mental tasks.

The effects of performing occupational tasks that demand physical and mental efforts in combined and simultaneous approaches are unknown, especially when pushing force is analyzed as a physical effort and solving arithmetic problems as a mental effort. In this study, physical and mental demands were simulated in a lab environment to assess the workload. Using a push force dynamometer, the maximum push force strength of each participant was recorded, and the physical demand was simulated exerting the push force in low, medium, and high levels. Mental demands were simulated solving arithmetic tasks in low, medium, and high levels. Two experimental conditions were defined: (1) task with combined physical and mental workload (performing physical demands first and mental demands after) and (2) task in a simultaneous way (performing both demands at the same time. NASA-TLX Traditional and RAW were applied to assess the workload. The time to complete the tasks was significantly longer in the combined than the simultaneous approach, and performance was significantly higher in the combined than the simultaneous tasks. The combined approach obtained better results than simultaneous and Traditional NASA-TLX presented a significantly higher level of global workload index than RAW.

Optimization of methanol synthesis under forced periodic operation in isothermal fixed-bed reactors

Methanol is usually produced in large amounts in fixed-bed reactors under steady-state conditions using Cu/ZnO/Al2O3-catalyst. In this paper, possible improvements through forced periodic operation compared to optimal steady-state solution are investigated. The numerical study is done with a simplified model which describes a hypothetical 7-meter-long isothermal and isobaric fixed-bed reactor. The forced periodic operation is implemented using harmonic forcing and square-waves. Multi-objective optimization is performed for different operating conditions quantifying the achievable molar flow rate of methanol at the reactor outlet and the yield of methanol based on total carbon. The resulting PDE-constrained optimization problems are solved using a simultaneous approach, with orthogonal collocation as discretization. The results show most significant improvements through forced periodic operation with square-waves. The periodic operation can provide theoretical improvements of up to 50% for the methanol mean outlet molar flow rate and improvements of up to 10% for the yield based on total carbon.

Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan via Deep Learning.

A novel method is proposed to obtain four-dimensional (4D) cone-beam computed tomography (CBCT) images from a routine scan in patients with upper abdominal cancer. The projections are sorted according to the location of the lung diaphragm before being reconstructed to phase-sorted data. A multiscale-discriminator generative adversarial network (MSD-GAN) is proposed to alleviate the severe streaking artifacts in the original images. The MSD-GAN is trained using simulated CBCT datasets from patient planning CT images. The enhanced images are further used to estimate the deformable vector field (DVF) among breathing phases using a deformable image registration method. The estimated DVF is then applied in the motion-compensated ordered-subset simultaneous algebraic reconstruction approach to generate 4D CBCT images. The proposed MSD-GAN is compared with U-Net on the performance of image enhancement. Results show that the proposed method significantly outperforms the total variation regularization-based iterative reconstruction approach and the method using only MSD-GAN to enhance original phase-sorted images in simulation and patient studies on 4D reconstruction quality. The MSD-GAN also shows higher accuracy than the U-Net. The proposed method enables a practical way for 4D-CBCT imaging from a single routine scan in upper abdominal cancer treatment including liver and pancreatic tumors.

Preparing Analytics-Enabled Professionals in Finance Using a Simultaneous Team-Teaching Approach: A Case Study

To meet the demands of industry, undergraduate business curricula must evolve to prepare analytics-enabled professionals in fields such as finance, accounting, human resource management, and marketing. In this article, we provide a case study of developing a rigorous, integrated finance and data analytics course that was delivered using a simultaneous team-teaching approach within a regional, teaching university. This case study describes developing the learning outcomes; defining the integrated teaching approach; identifying and developing course content and materials; and planning the course delivery. Next, we describe the course delivery, including student achievement of course learning outcomes, and a summary of student feedback from end-of-course evaluations is provided. Finally, we present lessons learned from delivering the course and provide considerations for future work such as scaling this course and replicating it in other business domains.

Skill-Biased Technological Change and Gender Inequality across OECD Countries—A Simultaneous Approach

Of the various approaches that, over the last few decades, have sought explanations for the constant increase in the wage gap between more and less skilled workers, the Skill-Biased Technological Change (SBTC) approach has been the most used and the one that has led to the most consistent results. The objective of this study is to assess whether the possible mobility between different types of workers, considering their experience and professional training, and this way, replacing more skilled workers in terms of education widens or reduces the wage gap between qualifications. For this purpose, we resorted to the modeling of simultaneous equations taking into account the OECD countries between 2007 and 2020, concluding that there is a strong influence of the wage gaps of the less qualified in the widening of the gaps of the more qualified and that this influence is more significant in the case of women. Education continues to promote the increase in wage differences in favor of the most qualified, as well as the SBTC approach. We also conclude that women’s wage gaps are approaching the average of most workers, thus reducing wage inequality between genders.

A Best Approach to Load Balancing in Cloud Computing Security Using SSL in Iaas Infrastructure

Now a days there is low performance of cloud computing service provider cloud computing service provider allow users to hire a service on rent basis to use high cost software and hardware resources so now a days this feature are usable without suffering discontinue services and performance of the system the secure socket layer and associated security algorithm come with internet age and first introduce by Netscape but some problem found with it which is found by some researcher. Now a days cloud computing facility are face problem of performance degradation but we have to avoid such problem.in this paper we have to avoid such problem so we propose a solution on that so in existing system the commercial offering from the F5 Inc a new network equipment manufacturer introduced a product BIG-IP With in simultaneous approach high availability load balancing and secure data channel Key Words: Key words: Secure Socket Layer (SSL), Local TrafficManager (LTM), Access Policy Manager (APM), Infrastructure – as – a - Service (IaaS), Throughput

Comparative Analysis of Isolated Abdominoplasty and Concomitant Hernio-Abdominoplasty

Introduction . According to the statistics of Plastic Surgery Unit, Mother and Child Clinical Hospital, Ufa (Russia), for 2019–2022, surgical interventions on the anterior abdominal wall rank third in popularity. The complexity of the approach to the treatment of patients with concomitant pathology of the anterior abdominal wall implies the need to replace isolated techniques with simultaneous surgical intervention in this area. Aim . To analyze the experience of surgical treatment and postoperative management of patients with aesthetic and physiological pathology of the anterior abdominal wall, based on the clinical data of Plastic Surgery Unit, Mother and Child Clinical Hospital. Materials and methods . The study enrolled 54 women who were undergoing inpatient and outpatient treatment in Plastic Surgery Unit, Mother and Child Clinical Hospital from 2019 to 2022. 31 of them made up group 1 (persons with aesthetic and functional deformity of the anterior abdominal wall but without a hernial defect), and 23 made up group 2 (persons with aesthetic and functional deformity of the anterior abdominal wall and with a midline ventral hernia). Abdominoplasty was performed in group 1, and hernio-abdominoplasty was performed in group 2. Results and discussion . Both abdominoplasty and simultaneous hernio-abdominoplasty enable the lost shape and contours of the anterior abdominal wall to be restored. Simultaneous hernio-abdominoplasty increases the time of surgical intervention, but reduces the multiplicity of necessary operations and anaesthetic support, the duration of the rehabilitation period, and financial costs. Abdominoplasty provides convenient access to perform tension-free hernioplasty. The simultaneous approach to the treatment of the anterior abdominal wall did not cause an increase in the incidence of complications. Conclusion . Simultaneous hernio-abdominoplasty is a justified surgical intervention with a concomitant pathology of the anterior abdominal wall. An integrated approach improves immediate and long-term surgical out-comes.

Pushing the Limits of Surgical Resection in Colorectal Liver Metastasis: How Far Can We Go?

Colorectal cancer is the third most common cancer worldwide, and up to 50% of all patients diagnosed will develop metastatic disease. Management of colorectal liver metastases (CRLM) has been constantly improving, aided by newer and more effective chemotherapy agents and the use of multidisciplinary teams. However, the only curative treatment remains surgical resection of the CRLM. Although survival for surgically resected patients has shown modest improvement, this is mostly because of the fact that what is constantly evolving is the indication for resection. Surgeons are constantly pushing the limits of what is considered resectable or not, thus enhancing and enlarging the pool of patients who can be potentially benefited and even cured with aggressive surgical procedures. There are a variety of procedures that have been developed, which range from procedures to stimulate hepatic growth, such as portal vein embolization, two-staged hepatectomy, or the association of both, to technically challenging procedures such as simultaneous approaches for synchronous metastasis, ex-vivo or in-situ perfusion with total vascular exclusion, or even liver transplant. This article reviewed the major breakthroughs in liver surgery for CRLM, showing how much has changed and what has been achieved in the field of CRLM.

Relationship of Marketing Mix, Brand Equity to Purchase Decision and Loyalty with Digital Wallet as Moderating during the Covid 19 Pandemic Period

This study aims to examine the relationship between Marketing Mix, Brand Equity with Purchase Decisions, and Loyalty with Digital Wallets to reinforce the relationship between Brand Equity and purchasing decisions. This research is included in cross-sectional research because it was conducted at a particular time and was not compared with other studies. The sample selection technique used non-probability sampling, namely convenience samples, and questionnaires were distributed via e-link via Whatsapp and Facebook. The sample of this study is the population aged 17 years and over who live in Jakarta, Bogor, Depok, Tangerang, and Bekasi. The number of research samples is 271 respondents. This study uses a simultaneous equation approach model with two-stage least square (2SLS) estimation techniques and data processing with SPSS version 26.00. The results showed that marketing mix, brand equity, and customer loyalty positively and significantly affected customer satisfaction. Digital wallets played a moderating factor, statistically, do not influence purchasing decisions. Purchase decisions and customer satisfaction positively and significantly influence customer loyalty. The findings of this study are that in improving smartphone purchasing decisions, the best effort is to prioritize aspects of the marketing mix and brand equity. The digital wallet is not a factor that drives consumer purchasing decisions. Furthermore, customer loyalty can be built in the long term through efforts to optimize purchasing decisions and customer satisfaction

Evaluation of different parameters affecting the performance of asphaltene controlling chemical additives in crude oils using multiple experimental approaches assisted with image processing technique

Asphaltene deposition problem in oil field is a major flow assurance problem which is affecting petroleum industry for decades. This issue not only affects sustainable production of crude oil but poses severe impacts to the integrity of production system. There are several methods available for the treatment of asphaltene problem. Among different treatment methods, chemical treatment is the most effective, reliable and flexible method. However, before implementation of this method in field conditions, this technique requires rigorous evaluation of chemical additives in lab environment for final selection of most efficient chemical additive. In this research work, we have applied simultaneous multiple experimented approaches namely; Asphaltene dispersant test and spot test to evaluate chemical additive tendency to reduce asphaltene deposition and enhance asphaltene precipitates dispersion respectively. To improve the interpretation and eliminate uncertainties associated with spot test results, the spot test results were analyzed by image processing tool and precipitation intensities were calculated. Generally, precipitation intensity represents the dispersion ability of chemical additive which in turn is inversely proportional to the deposition. Moreover, the impact of parameters like precipitant type (Molecular Weight of precipitant), volume percentage of precipitant in crude oil, chemical additive dosage and experimental time on precipitation intensities were determined using statistical metric namely relevancy factor. In this study, two precipitants namely; n-pentane and n-heptane were used in two different volume percentages i.e. 75 vol percent and 95 vol percent in three crude oil samples namely; crude oil 1 (CO1), crude oil 2 (CO2) and crude oil 3 (CO3). The final results concluded that chemical additive performance was poor in crude oil 1 as it unable to prevent deposition in most of the conditions. The chemical additive performs equally well for CO2 and CO3 having slightly better results obtained in CO2. Among all studied input parameters, precipitant to crude oil ratio was the most important parameter impacting the performance of chemical additive adversely. The performance of chemical additive was largely negatively affected when precipitant used in crude oil at higher proportion. Secondly, the effect of Molecular weight of precipitant found in strong positive relationship with precipitation intensity the case of CO1 while negligibly negative in case of CO2 and CO3. Precipitation intensities were found to decrease with increasing experimental time and chemical dosage in CO1. However, the positive trend was found in CO2 and CO3 between precipitation intensity with time and chemical dosage. These suggests that chemical additive depend upon the type of crude oil and the underlying operating conditions and cannot be applied for the equal and effective treatment of asphaltene precipitation problem in various crude oils.

Simultaneous Confidence Band Approach for Comparison of COVID-19 Case Counts.

The outbreak of the novel coronavirus (COVID-19) was declared to be a global emergency in January of 2020, and everyday life throughout the world was disrupted. Among many questions about COVID-19 that remain unanswered, it is of interest for society to identify whether there is any significant difference in daily case counts between males and females. The daily case count sequences are correlated due to the nature of a contagious disease, and contain a nonlinear trend owing to several unexpected events, such as vaccinations and the appearance of the delta variant. It is possible that these unexpected events have changed the dynamical system that generates data. The classic t-test is not appropriate to analyze such correlated data with a nonconstant trend. This study applies a simultaneous confidence band approach in an attempt to overcome these difficulties; that is, a simultaneous confidence band for the trend of an autoregressive moving-average time series is constructed using B-spline estimation. The proposed method is applied to the daily case count data of seniors of both genders (at least 60 years old) in the State of Ohio from April 1, 2020 to March 31, 2022, and the result shows that there is a significant difference at the 95% confidence level between the two gender case counts adjusted for the population sizes.

A comparison of online recommendation methods: Simultaneous versus sequential approaches

This study investigates the relative profitability of online recommendations (sequential or simultaneous) of durable goods used by various firms, such as Walmart and Amazon. To achieve this, we develop a utility model (specified in terms of product attributes) that captures the complementarity between the recommended products. To recover customers’ utility for simultaneous or sequential purchases of durable goods, we conduct incentive-aligned conjoint experiments in which participants select a combination of fully or partially complementary products. The results reveal that the product attribute associations are more noticeable for fully complementary product categories. In addition, customers tend to balance comparable attributes when buying durable goods sequentially over time, while they reinforce comparable attributes when buying simultaneously. The profit analysis based on the estimates shows that the recommendations for simultaneous purchases can yield higher profits for fully complementary product categories than for sequential recommendation purchases. However, the recommendations for sequential purchases generate higher earnings for partially complementary product categories than for simultaneous recommendation purchases. A simulation study reveals that the profits differ considerably by combinations of product attributes because customers evaluate complementarity among attributes differently between the two recommendations.

Additive modeling systems to simultaneously predict aboveground biomass and carbon for Litsea glutinosa of agroforestry model in tropical highlands

Aim of study: To develop and cross-validate simultaneous modeling systems for estimating components and total tree aboveground biomass and carbon of Litsea glutinosa in an agroforestry model with cassava.
 Area of study: In the Central Highlands of Vietnam, the agroforestry model widely planted on fallow land of ethnic minorities is a mixture of 65% L. glutinosa in combination with 35% cassava (Manihot esculenta).
 Material and methods: Twenty-two 300-m2 circular sample plots were located, representing the range of tree age, plantation density, and a 6-7 year rotation cycle. In each sample plot, one selected tree with a diameter at breast height equal to the plot quadratic mean diameter was destructively sampled. The relationships among tree aboveground biomass and carbon (AGB/AGC) and their components with dendrometric variables diameter, height, age, and crown area were examined using factor analysis. To fit systems of equations for AGB/AGC and their components, we compared two methods: weighted nonlinear least-squares (WNLS) and weighted nonlinear seemingly unrelated regression (WNSUR).
 Main results: The results of the leave-one-out cross-validation showed that the simultaneous WNSUR approach to modeling systems of four tree components, total biomass, and carbon provided better results than independent WNLS models.
 Research highlights: The simultaneous WNSUR modeling system provided improved and reliable estimates of tree components, total biomass, and carbon for L. glutinosa in an agroforestry model with cassava compared to independently fitted WNLS models.

Inter-Dependency and Inter-relationship Among Tax Revenue, Infrastructure and Human Capital Development in Nigeria: Small Scale Macroeconometric Model

Recently, there has been increased calls for human capital development across the African economics. The role of human capital to economic growth and development cannot be overemphasized. Infrastructural development and efficient tax system are veritable tools for promoting human development. When human development is stunted, infrastructural development and tax revenue also shrink. This paper examined the inter-relationship and interdependency among tax revenue, infrastructure and human development in Nigeria for the period 1980- 2021. This paper adopted the simultaneous equation modeling approach and a system of equations where tax revenue, infrastructure and human development are taken to be exogenous. From the result, temporary 10 percent increase in value added tax revenue has higher effect on human capital development , real GDP and broad money supply. In contrast, permanent increase in value added tax revenue has higher effect on government spending on social and community services(including health and education) and inflation rate than the temporary 10 percent increase in value added tax revenue. Hence, to increase human capital development in Nigeria, temporary tax revenue shock is sufficient. The government should diversify its revenue base and expend more on health and education in addition to building a strong institutional framework to ensure the efficacy of government spending on both health and education. Keywords: Infrastructure, human capital, macroeconometric model, tax revenue, Nigeria JEL Codes: H54, J24, F41, H24 DOI: 10.7176/RHSS/13-6-04 Publication date: March 31 st 2023

Ultrasound-assisted ionic exchange and solvothermal synthesis of Bi2MoO6/Bi2SiO5/Bi12SiO20 ternary nanophotocatalysts for visible light-driven degradation reaction of pharmaceutical pollutants

The novel ternary Bi2MoO6/Bi2SiO5/Bi12SiO20 nanophotocatalyst as a cascaded pseudo-type II configuration was synthesized at different values of Si and Bi2MoO6 via a simultaneous ultrasound-boosted ionic exchange-solvothermal approach to degrade fluoroquinolones contaminants under solar light. The influence of ultrasound irradiation was assessed and Bi2MoO6/Bi2SiO5/Bi12SiO20 (Si-2)-U sample was designated as the most effective sample with the best performance. To illustrate the efficacious performance of the referred sample, PL, XRD, UV–Vis DRS, FESEM, TEM, BET-BJH analyses were carried out. Regarding the phase diagram obtained by XRD analysis, the amount of Bi2MoO6, Bi2SiO5, and Bi12SiO20 for Bi2MoO6/Bi2SiO5/Bi12SiO20 (Si-2)-U was 27%, 13% and 60%, respectively. In contrast, without ultrasound irradiation, these amounts were obtained which are 39.6%, 37.6%, and 22.8% for Bi2MoO6, Bi2SiO5, and Bi12SiO20, correspondingly. BET-BJH technique displayed 20.8 m2/g surface area, 0.1805 cm3/g pore volume, and 34.7 nm mean pore diameter. DRS presented two absorption edges for the best nanocomposite at 414.7 (2.99 eV) and 489.3 (2.53 eV) nm. In addition, morphology observations proved the microcube architecture covered by nanosheets assembled of spherical nanoparticles. The photodegradation of levofloxacin, ofloxacin and ciprofloxacin over Bi2MoO6/Bi2SiO5/Bi12SiO20 (Si-2)-U was 96.9%, 83.6%, and 70.3%, subsequently that the kinetic constant was 2.6 times of nanocomposite synthesized without the usage of ultrasound energy. The perfect performance and suitable reusability of Bi2MoO6/Bi2SiO5/Bi12SiO20 (Si-2)-U nanophotocatalyst can be attributed to the proper composition and presence of ultrasound energy during synthesis, leading to the operative mass transfer, pollutant adsorption, light harvesting/diffusion, and charge separation.

Inclusive Human Development and Inclusive Green Growth: A Simultaneous Approach

Inclusive Human Development and Inclusive Green Growth: A Simultaneous Approach

Electrochemical simultaneous treatment approach: Electro-reduction of CO2 at Pt/PANI@ZnO paired with wastewater electro-oxidation over PbO2

The electro-reduction of CO2 paired with wastewater electro-oxidation processes is a promising method for producing value-added products and decreasing energy consumption. In an H-type cell, the electrocatalytic mineralization of AMD 10B in an aqueous medium over novel β-PbO2 anode paired with the CO2 electrocatalytic reduction converts to methanol and formic acid at Pt/PANI@ZnO cathode. The proposed anode electrode showed a very high surface-to-volume ratio, high-performance electrocatalytic degradation, and a long service lifetime. Experimental results indicate in the anode compartment, a good COD removal efficiency (93%) and the lowest specific energy consumption, 4.6 kWh m−3 were obtained. Simultaneously, results obtained from the catholyte analysis showed Faradaic efficiency of 57% and 41% with a total cathodic energy efficiency of 34% at 15 mA cm−2 for methanol and formic acid, respectively. The lowest cell voltage was obtained (3.92 V) by using NaCl in the anolyte.