Model Analysis Tools Research Articles

A Comprehensive Assessment of the Marginal Abatement Costs of CO2 of Co-Optima Multi-Mode Vehicles.

The Co-Optimization of Fuels and Engines (Co-Optima) is a research and development consortia funded by the U.S. Department of Energy, which has engaged partners from national laboratories, universities, and industry to conduct multidisciplinary research at the intersection of biofuels and combustion sciences. Since 2016, the Co-Optima team has examined high-quality bioblendstocks, and their properties, as design variables for increasing efficiency in modern engines while decarbonizing on-road light- and heavy-duty vehicles. The objective of this analysis is to combine and expand upon research into Co-Optima multi-mode bioblendstocks, which blend with petroleum gasoline to form high efficiency fuels for combustion in both spark ignition and advanced compression ignition engines. Consequently, the economic and environmental impacts of deploying 10 different multi-mode bioblendstocks derived from renewable and circular resources are quantified. Each bioblendstock is evaluated across several variables including (1) target blend levels of 10, 20, and 30 vol %, (2) years from 2030 to 2050, (3) crude oil benchmark prices, (4) vehicle lifetime miles, and (5) incremental vehicle costs. A Monte Carlo simulator is developed using a refinery optimization model and life-cycle analysis tool from prior Co-Optima research to sample marginal abatement costs of CO2, or cost of removing an additional unit of CO2, corresponding to each bioblendstock while considering input variable uncertainties. Results show that the combination of efficiency gains from advanced multi-mode fuel-engine technologies and the reoptimization of refinery operations results in several bioblendstocks demonstrating near-zero expected marginal abatement costs. Variable importances are also explored to highlight which aspects of the multi-mode technology are most influential in determining marginal abatement costs. Results suggest that Co-Optima multi-mode technology could provide economically viable decarbonization contributions to electrification-resistant light-duty vehicle sectors or near-term emission reductions, while Co-Optima fuels or alternatives decarbonize further to reach net-zero status.

Critical Discourse Analysis of People’s Daily and the New York Times’ Headlines on the Beijing Winter Olympics

This paper examined the headlines of the Chinese newspaper, People’s Daily, and the American newspaper, the New York Times, about the Beijing Winter Olympics in 2022. To investigate the possible ideological biases of news headlines, this paper performs corpus-based critical discourse analysis. It hypothesizes that Chinese media will use positive strategies to report the event, whereas American media will maintain a neutral stance. Fairclough’s three-dimensional analysis model and sentiment analysis tools via Google apps were applied to analyze news headlines of the two newspapers. With “Beijing Winter Olympics” as the keyword, People’s Daily generated 261 results and a sentiment score of 60.2 whereas the New York Times produced 235 results and a sentiment score of 0.1 from February 3 to 20, 2022. The analysis reveals that People’s Daily predominantly uses positive language and active voice, frequently quoting authoritative figures to reinforce the success and international approval of the Beijing Winter Olympics. Notable features include a high frequency of positive words, reinforce China’s high-power position in the sentence structure. Conversely, the New York Times presents a more balanced perspective, with both positive and negative sentiments. It often employs passive voice and indirect language to highlight controversies and challenges, such as human rights issues and the political implications of the Games. The New York Times’ headlines also exhibit the use of metaphors and euphemisms to subtly convey skepticism about China’s intentions. The conclusion of this study is that People’s Daily is committed to establishing and maintaining the image of a strong and capable Chinese government, while the New York Times, although striving for journalistic objectivity, still exposes ideological differences towards China, which also reflects the geopolitical tensions between China and the United States.

Analysis of Locus of Control and Self Efficacy on Satisfaction Employee Work and its Impact on Performance Achievement Levels

The Kampar Regency Ministry of Religion Office has the main task of carrying out functions in formulating and establishing vision, mission and technical policies in the field of religious life services and guidance to the community in Kampar Regency as well as providing services, guidance and guidance in the field of Hajj and Umrah. Therefore, employees with optimal performance are very necessary. Many factors influence employee performance, including job satisfaction, locus of control and self-efficacy. This research was conducted at the Ministry of Religion of Kampar Regency which is located on Jalan DI Panjaitan, Bangkinang District. The aim of this research is to find out and analyze the influence of locus of control on employee job satisfaction, the influence of self-efficacy on employee job satisfaction, direct influence of locus of control on employee performance, the direct influence of self-efficacy on employee performance, the influence of job satisfaction on employee performance, the indirect influence of locus of control on employee performance through job satisfaction and , the direct influence of self-efficacy on employee performance through job satisfaction; This research uses primary data and secondary data obtained by distributing questionnaires, observations, interviews and research files. The population in this study were all employees at the Ministry of Religion office in Kampar Regency, totaling 48 people and all of them were used as samples. Data analysis was carried out using the Structural Equation Modeling (SEM) analysis tool and hypothesis testing was carried out at an alpha of 5%. The results of this study concluded that locus of control was proven to have no significant effect on job satisfaction, self-efficacy has been proven to have a significant effect on employee job satisfaction, locus of control has been proven to have a direct and significant effect on employee performance, self-efficacy is proven to have a direct and significant effect on employee performance, job satisfaction has a significant effect on employee performance, locus of control is indirectly proven to have no significant effect on employee performance through job satisfaction and self efficacy is indirectly proven to have a significant effect on employee performance through job satisfaction at the Kampar Regency Ministry of Religion Office.

Profiling households through a combined vulnerability and flood exposure index in Ho Chi Minh City, Vietnam

As climate risks escalate worldwide, comprehending the household-level vulnerability to flood is critical for sustainable adaptation, particularly in rapidly urbanizing cities like Ho Chi Minh City. This study develops a household vulnerability index to a flood exposure index within the frameworks of contextual vulnerability and the risk-hazard model. Using six sub-components of vulnerability, we assess a composite index through a detailed analysis of qualitative and quantitative data collected from a survey of 1000 households across four districts. A hierarchical weighting model and geostatistical analysis tools are employed to calculate the vulnerability index and examine the spatial patterns of vulnerability. The findings reveal three key insights into household-level vulnerability: First, the flood does not directly cause or strongly correlate with vulnerability in the survey households. Second, equal levels of general inequality do not imply similar distributions of vulnerability across specific components and areas. Third, vulnerability and flood risk tend to be more pronounced in urban than rural areas, with notable spatial clustering. This study provides insights that can guide policymakers in prioritizing adaptation, and enhancing understanding of the interactions between social vulnerability, hazard exposure, and household-centered adaptation. The study also highlights important considerations for inequality and climate finance, and underscores the need for future research on vulnerability across multiple scales.

Impact of Change in Meteorological Conditions on PM2.5 Air Quality Improvement in Beijing-Tianjin-Hebei Region Using Process Analysis

The air quality has significantly improved since the implementation of the Air Pollution Prevention and Control Action Plan in 2013. The effect of meteorological conditions on air quality improvement is complex, including affecting the emission, transport, diffusion, chemical transformation, and other processes of air pollutants. Based on the WRF-CMAQ model and process analysis （PA） tool, this study evaluates the impact of meteorological factor changes on the improvement of PM2.5 concentration in the Beijing-Tianjin-Hebei Region from 2013 to 2020 and further analyzes the role of meteorological conditions on the diffusion, transport, and transformation of atmospheric pollutants. The results provided the technical support for improving air quality in China. The changed meteorological conditions resulted in the PM2.5 concentration decreasing by 5.4 μg·m-3 during the 2013-2017 period and increasing by 11.6 μg·m-3 from 2017-2020. From 2013 to 2017, aerosol chemical processes, vertical transmission, and horizontal transmission processes were the main processes affecting the PM2.5 improvement. Conversely, the change in meteorological conditions contributed little to the reduction of PM2.5 level, which is mainly affected by aerosol chemical processes, horizontal transmission, and vertical transmission.

Pengaruh Kualitas dan Harga Terhadap Keputusan Pembelian Mobil Hybrid di Jawa Barat dengan Promosi Sebagai Variabel Intervening

This study aims to determine and analyze the effect of product quality on hybrid car purchasing decisions in West Java. To determine and analyze the effect of price on hybrid car purchasing decisions in West Java. To determine and analyze the effect of promotion on hybrid car purchasing decisions in West Java. To determine and analyze the effect of product quality on purchasing decisions through hybrid car promotions in West Java. To determine and analyze the effect of price on purchasing decisions through hybrid car promotions in West Java. This research method uses quantitative samples used in this study as many as 100 respondents using the purposive sampling technique method, the data analysis technique used in this study is path analysis with the structural model analysis tool used in this study, namely SmartPLS. The results of the research that has been conducted can be concluded that the product quality variable has a significant effect on the promotion of hybrid cars in West Java. The price variable has a significant effect on the promotion of hybrid cars in West Java. The product quality variable has a significant effect on the decision to purchase hybrid cars in West Java. The price variable has a significant effect on the decision to purchase hybrid cars in West Java. The promotion variable has a significant effect on the decision to purchase hybrid cars in West Java. The product quality variable has a significant effect on the decision to purchase through the promotion of hybrid cars in West Java. The price variable has a significant effect on the decision to purchase through the promotion of hybrid cars in West Java.

Establishment of a rhesus macaque model for coxsackievirus A6 infection: Pilot study to evaluate infection initiated through the respiratory or digestive track

Coxsackievirus A6 (CVA6) is a primary pathogen associated with hand, foot, and mouth disease (HFMD) and is typified by fever, rashes or herpetic lesions at distinct locations. Although HFMD patients exhibit mild symptoms, a subset of patients may develop severe complications, such as viral encephalitis, myocarditis, pneumonia, and neurological disorders. However, in addition to rodent models, such as the CVA6-infected mouse model, no definitive nonhuman primate animal model or related research or analysis tool is available, which makes the development of suitable nonhuman primate animal models particularly crucial. In this study, 3- to 4-month-old rhesus monkeys were infected via the respiratory or digestive tract, and the pathogenic, pathological, and immunological alterations following CVA6 infection were investigated. The results revealed that the infected rhesus monkeys exhibited symptoms similar to those of patients, including signs of HFMD, blood cell changes, viremia, viral excretion, and inflammatory reactions during the acute phase (1–11 days). Pathological observations revealed inflammatory reactions in the intestinal and lymph node tissues. Notably, the acute symptoms gradually waned in the recovery phase (12–120 days), and a high level of neutralizing antibodies was sustained. Intriguingly, no significant disparity was observed between the infections initiated via the respiratory or digestive tract in terms of clinical symptoms, hemogram results or virus shedding. Overall, this study yielded a comprehensive dataset regarding the physiological, pathological, and immunological outcomes of CVA6 infection in a primate host, enhancing our comprehension of the mechanism of CVA6 infection and providing essential data for related vaccine and drug development.

Factors Affecting Stock Investment by Individual Investors on the Indonesia Stock Exchange

This study aims to examine the factors that influence individual investors in investing in stocks on the Indonesia Stock Exchange. The factors studied and suspected of influencing individual investor decisions are financial literacy, risk perception and herding behavior. The study also examines the effect of financial literacy on risk perception. The population in this study were college students in Yogyakarta who had invested in the Indonesia Stock Exchange. Respondents were focused on students of the Islamic University of Indonesia with a total of 115 students taken using convenience sampling and snowball sampling techniques. To test the hypothesis, the researcher used a structural equation model analysis tool with the Smart PLS program. The results of the study indicate that financial literacy, risk perception have a positive effect on investment decisions. However, herding behavior does not affect investment decisions, while financial literacy also affects risk perception.

Perceived Ease of Use and Perceived Usefulness, Intention to Use Digital Banks and the Role of Trust as Mediating Variables

By incorporating the trust variable as a mediator in the relationship between perceived ease of use and perceived usefulness of using digital banking services on intention to use digital banking services and location—research in the special region of Yogyakarta—this study aims to analyze banking customers’ tendencies to use digital banking services using the technology acceptance model (TAM) theoretical approach. This research’s type and source of data is quantitative with primary data. Questionnaires were distributed as part of a survey procedure to collect data for this study. Using sample data from 208 respondents and the structural equation model (SEM) analysis tool, he concluded that while users’ perceptions of the usefulness and ease of use of digital banking services have no bearing on each other, their perceptions of the ease of use of these services has a significant impact on their trust in them. It has a significant impact on user trust in digital banking services, which in turn has a significant impact on users’ intention to use digital banking services; perceived ease of use of digital banking services has no significant impact on users’ intention to use digital banking services; on the other hand, perceived usefulness of digital banking services has a significant impact on users’ intention to use digital banking services; trust in digital banking services mediates the relationship between users’ intention to use digital banking services and perceived ease of use of digital banking services. Keywords: perceived ease of use, perceived usefulness, trust, intention to use, digital bank

Sustainable Marketing Performance Model Through Succession Strategy With Marketing Capabilities And Competitive Advantage As Mediators In Batik Trusmi Cirebon Business

Batik is a cultural product in Indonesia. However, the batik industry is still identically with the Central Java region. Batik Trusmi Cirebon is a batik product that has a long history in Central Java. The Cirebon batik industry is managed from generation to generation, and has the potential to become a developing batik industrial area. This study aims to determine the influence of succession strategy on marketing capability and competitive advantage, and its implications for marketing performance. This study involved 42 respondents of batik business actors. The model analysis tool used was SEM. The results of the study showed that the succession strategy significant affect marketing capability. Succession strategy has a significant effect on competitive advantage. Marketing capability has a significant effect on competitive advantage. Marketing capability has a significant effect on marketing performance. Competitive advantage does not have a significant effect on marketing performance. Succession strategy has a significant effect on competitive advantage through marketing capability. Succession strategy has a significant effect on marketing performance through marketing capability. Succession strategy has a significant effect on marketing performance through competitive advantage. Marketing capability has a significant effect on marketing performance through competitive advantage. Succession strategy has a significant effect on marketing performance through marketing capability and competitive advantage. Thus, the succession strategy plays a crucial role in enhancing marketing performance at Batik Trusmi Cirebon.

The Effect of Digital Technology Adoption On Industry 4.0 Readiness and Business Performance of Culinary MSMEs in Bogor Regency

MSMEs significantly contribute to employment and economic growth, particularly in Indonesia, and impact the socioeconomic conditions of the lower middle-class community. The Fourth Industrial Revolution has transformed the fundamental managerial aspects of the industry. The aim of this era was to revolutionise industries through digitalisation. Digital technology can help MSMEs adapt swiftly and accelerate through digital transformation. This study investigates the influence of digital technology on the preparedness of MSMEs in Bogor Regency, West Java Province, for Industry 4.0, and on enhancing business performance using the Technology Acceptance Model (TAM). This study employs a quantitative approach with structural equation modelling (SEM) analysis tools for 116 business actors. Readiness indicators are measured using organizational resilience, infrastructure systems, manufacturing systems, data transformation, and digital technology. The findings of this study indicate that the adoption of digital technology by business actors has a minimal and insignificant impact on business performance in MSMEs, but does influence the preparedness of MSMEs to face Industry 4.0. Readiness indicators indirectly affect the use of digital technology and business performance.

The Factors Affecting the Demand for Higher Education in Albania – Case Study: An Analysis of the Demand for Second Cycle Master's Studies

Universities in the modern world are expected to seek and cultivate new strategies, to provide the right direction to promote knowledge and social equality. The quality of education is an important factor in attracting and retaining students, as it is a substantial investment made by their parents. Therefore, providing a quality service has become the most important objective for most Higher Education Institutions. The general objective of this paper is to investigate the experiences of students enrolled at university programs in different universities in the country through a questionnaire addressed to third-year Bachelor students, and how this experience will affect their decision-making process to continue or not the second cycle master's studies at these universities. The data from this questionnaire were processed in the R-Studio program. The analysis was conducted using Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) tools for data analysis and testing of relationships between variables. With these methods, we demonstrate how factors such as: academic experience during the years of study, infrastructure and quality of the institution, and the academic offer for master's studies, influence the decision-making of students about whether to continue or not the studies of the second master's cycle, precisely in the universities where they have completed the first cycle of Bachelor studies.

Modeling energy storage in long-term capacity expansion energy planning: an analysis of the Italian system

This paper presents a framework to represent short-term operational phenomena associated with renewables capacity factors and final service demand distributions in a capacity-expansion and integrated energy system optimization model. The aim is to study the potential role of energy storage technologies coupled with renewable energy sources aiding the decarbonization of the overall energy system. The proposed methodology is implemented in an energy system optimization model named Tools for Energy Model Optimization and Analysis (TEMOA) and then tested in a case study focused on the Italian energy system. We examine a collection of scenarios that includes reference time scale scenarios, time scale sensitivity scenarios, and technology alternative scenarios. This paper's findings indicate that energy storage is crucial for fully decarbonizing the Italian power sector by 2050 in the absence of a low-carbon baseload. Additionally, it suggests that approximately 10 % of Italy's electricity generation in 2050 should be routed through short-term energy storage devices.

Systems Modeling of the Water-Energy-Food-Ecosystems Nexus: Insights from a Region Facing Structural Water Scarcity in Southern Spain

The complex relationship between water, energy, food, and ecological systems, known as the WEFE nexus, has emerged as a major topic in the debate about sustainable economic development and resource management. This subject is of special interest in Mediterranean coastal areas as rapid economic expansion driven by population growth, higher influx of tourists, and intensification of agriculture is leading to structural water scarcity conditions. However, addressing the diverse range of issues associated with the nexus is a difficult task due to the existence of intricate interconnections, interdependencies, and nonlinearities within and across its various components. Accordingly, this case study applies a combination of participatory systems modeling and network analysis tools to yield insights into the complexity of this nexus in Axarquia, a region with features that make it an example of water-stressed jurisdictions in the Mediterranean. Overall, our results provide a strong foundation to understand the dynamics that govern this nexus in regions where the availability of freshwater resources is a significant concern. Furthermore, they lay the groundwork for the development of models and scenarios to simulate the impact of various policies and interventions on the overall system.

PENGARUH PROMOSI, KUALITAS PRODUK DAN KUALITAS PELAYANAN TERHADAP KEPUTUSAN PEMBELIAN PADA TOKO BANGUNAN CITRA UTAMA

In this day and age, it is necessary to increase the purchase of a product. Consumer purchasing decisions regarding a product need to be considered. The aim of this research is to determine the influence of promotions, product quality and service quality on product purchasing decisions at the Citra Utama Building Store. The population in this research is all consumers who have purchased products at the Citra Utama Building Store. The sample used in this research was 100 respondents. The sampling technique uses probability sampling techniques. Data collection was carried out by respondents filling out existing questionnaires. In this research, structural Equation Modeling (SEM) analysis tools were used, with an emphasis on the Partial Least Squares (PLS) method, and the tool used was Smart PLS version 4.0. Data analysis testing includes checking the Convergent Validity of the Outer Model, Reliability, as well as evaluating the Inner Model which includes R Square, F-Square, and Hypothesis Testing. The results of this research show that promotion and service quality have a positive and significant effect on purchasing decisions at the main image building store. Meanwhile, product quality has no influence on product purchasing decisions at the main image building store.

Mengukur Peran Mediasi E-Satisfaction dalam hubungan antara E-Trust dan E-Service Quality terhadap E-Loyalty (Studi Kasus pada Nasabah Pengguna E-Banking Perbankan Syariah di DKI Jakarta

This research aims to analyze the variables e-trust, e-service quality in influencing the e-loyalty variable either directly or through the mediating role of the e-satisfaction variable. on sharia banking e-banking users. This research developed 20 question items and distributed them via Google form to customers using sharia banking e-banking in DKI Jakarta. A total of 104 data were collected and then analyzed using the Structural Equation Modeling (SEM) analysis tool. The research results show that the variables e-trust, e-service quality have an influence on e-satisfaction. Likewise, e-loyalty can be influenced by e-loyalty and e-satisfaction, while e-service quality fails to influence e-loyalty. In this research, it was also found that the e-satisfaction variable can play its role as an intervening variable between e-trust and e-service quality on e-loyalty.

APAKAH PROGRAM “JAMULA” BERDAMPAK TERHADAP PERUBAHAN SOSIAL EKONOMI MASYARAKAT KABUPATEN LAMONGAN? DITINJAU DARI TEORI MERILEE GRINDLE

The purpose of this study is to analyze the influence of policy content and implementation context in the Merilee Grindle theory of the Jamula policy on the Sukodadi-Sumberwudi highway of Pucangro Village on the impact and changes and acceptance of the people of Lamongan district. This research was conducted quantitatively with an exploratory approach. The sample of this study amounted to 100 people from the people of Lamongan Regency and the sample was obtained from a nonprobability sampling technique with snowball sampling. The data obtained is then processed using the Structural Equation Model analysis tool based on Partial Least Square (SEM-PLS). The hypothesis of this study is that the policy content variable and the implementation context variable of the Jamula policy on the Sukodadi-Sumberwudi highway of Pucangro Village have an influence on impact variables as well as change and acceptance variables. The test results show that policy content has an influence on impact, policy content has an influence on change and acceptance, and the context of implementation has an influence on change and acceptance. There is one hypothesis that is not empirically proven, namely that the context of implementation has no effect on impact. The conclusions of this study are: (1) the three hypotheses based on the theory of the merilee grindle implementation model are acceptable or empirically provable; (2) one hypothesis is rejected is the influence of the implementation context on the impact and the author assumes that the implementation context carried out by the Lamongan Regency government is ineffective, so that the community does not feel the positive impact of the Jamula policy on the Sukodadi-Sumberwudi highway in Pucangro Village. The Jamula program provides positive benefits to the community, so the government must be responsive and timely in repairing roads to increase community satisfaction.

Efforts to Increase Organizational Commitment Through Visionary Leadership, Learning Organizations, and Competencies

With quality education, the quality of a nation will be reflected. To produce superior human resources, lecturers as educators have a responsibility to improve human resources by providing quality education. In achieving the vision and mission of higher education, it is necessary to support the organizational commitment of lecturers. The purpose of the study analyze efforts to increase organizational commitment through visionary leadership, learning organizations, and competencies. The method used in this study is quantitative, using the Structural Equation Model (SEM) analysis tool. The population of permanent lecturers of the Foundation amounted to 3322 people, and the sample amounted to 357 respondents. Sample determination using stratified cluster random sampling. The results of this study explain that visionary leadership, learning organizations, and competencies partially affect organizational commitment. In addition, the results of the hypothesis test simultaneously show visionary leadership, learning organizations and competencies together affect organizational commitment. To increase organizational commitment, Private Universities in the Banten Province area need continuous improvement, including increasing the effectiveness of Visionary leadership, the existence of institutions to continue to learn and adapt as ideal Learning Organizations, and increasing their Competencies its lecturers, as an effort to build and increase the organizational commitment of the Dosen.

The BioRECIPE Knowledge Representation Format.

The BioRECIPE (Biological system Representation for Evaluation, Curation, Interoperability, Preserving, and Execution) knowledge representation format was introduced to standardize and facilitate human-machine interaction while creating, verifying, evaluating, curating, and expanding executable models of intra- and intercellular signaling. This format allows a human user to easily preview and modify any model component, while it is at the same time readable by machines and can be processed by a suite of model development and analysis tools. The BioRECIPE format is compatible with multiple representation formats, natural language processing tools, modeling tools, and databases that are used by the systems and synthetic biology communities.

Artificial intelligence in soil science: Where do we go now?

AbstractRecognizing the fast advancement of artificial intelligence (AI) in soil science, the main objective of this commentary paper is to discuss how this technology is being incorporated into the discipline, focusing on the most common algorithms and their applications. Employing a discursive and reflective methodology, the article draws insights from the authors' expertise and opinions. The paper explores some ethical considerations and the potential impact of AI on the job market and calls for a balanced approach that maximizes the benefits of this technology while vigilantly mitigating its negative implications to ensure the integrity and inclusivity of the profession.Core Ideas Artificial intelligence (AI) is changing soil science with advanced analytic and predictive modeling tools. Ethical AI in soil science should focus on data integrity, privacy, and transparent research. AI is reshaping the soil science job market, emphasizing the need for adaptability, and continuous learning. Collaboration between technology and soil experts can lead to groundbreaking research and academic solutions. AI, as a complementary tool, can enhance soil scientists' expertise, creativity, and problem‐solving abilities.