Cross-section Data Research Articles

Penanggulangaan Kemiskinan di Kabupaten Luwu Utara menggunakan Pendekaatan Deep Interview

This study aims to determine the process and success of poverty alleviation carried out by the North Luwu district government. The data used in this study are cross-section data. The method of determining respondents is by using purposive random sampling which is snowball sampling. The research method used is a case study method with a qualitative approach. Data collection methods are observation and direct interviews. The data analysis technique uses QDA (Qualitative Data Analysis) which is divided into 4 important processes, namely, data collection, data reduction, data presentation and drawing conclusions (verification). The results of the study show that the main cause of poverty in North Luwu district is due to lack of income to meet basic needs such as food, housing, education and health, to meet these needs will always be related to spending. The largest expenditure comes from non-food expenditures, namely in housing and household facilities or the highest of all components of non-food needs of a household. Therefore, the government provides "house renovation" assistance through the BSPS program to poor people who have uninhabitable houses. In addition, other assistance such as BPNT, PKH and PBI are also given in cash to people who are categorized as poor in North Luwu Regency.

Utility of a hybrid approach to the hadronic vacuum polarization contribution to the muon anomalous magnetic moment

An accurate calculation of the leading-order hadronic vacuum polarization (LOHVP) contribution to the anomalous magnetic moment of the muon (aμ) is key to determining whether a discrepancy, suggesting new physics, exists between the Standard Model and experimental results. This calculation can be expressed as an integral over Euclidean time of a current-current correlator G(t), where G(t) can be calculated using lattice QCD or, with dispersion relations, from experimental data for e+e−→hadrons. The BMW/DMZ collaboration recently presented a hybrid approach in which G(t) is calculated using lattice QCD for most of the contributing t range, but using experimental data for the largest t (lowest energy) region. Here we study the advantages of varying the position t=t1 separating lattice QCD from data-driven contributions. The total LOHVP contribution should be independent of t1, providing both a test of the experimental input and the robustness of the hybrid approach. We use this criterion and a correlated fit to show that Fermilab/HPQCD/MILC lattice QCD results from 2019 strongly favor the CMD-3 cross section data for e+e−→π+π− over a combination of earlier experimental results for this channel. Further, the resulting total LOHVP contribution obtained is consistent with the result obtained by BMW/DMZ, and supports the scenario in which there is no significant discrepancy between the experimental value for aμ and that expected in the Standard Model. We then discuss how improved lattice results in this hybrid approach could provide a more accurate total LOHVP across a wider range of t1 values with an uncertainty that is smaller than that from either lattice QCD or data-driven approaches on their own. Published by the American Physical Society 2025

How Social Trust Affects Young Adults’ Mental Health: Chain Mediation Effects of Social Sustainability in Communities

The community is the primary living environment of youth groups and serves as a bridge between the individual and society. However, few studies have examined how the social environment affects mental health by influencing the social sustainability of the community. This study examines the chain mediating effects of neighbor interactions, reciprocity, and perceived work stress (i.e., social sustainability of communities) in the association of social trust (i.e., social environment) and mental health among Chinese young adults. The data came from the cross-section data from the Chinese General Social Survey (2021). Multiple linear regression models revealed that both social trust and neighbor interactions were significantly and positively related to the mental health of young adults. The structural equation model revealed that social trust had a direct effect on increasing neighbor interactions, which in turn indirectly influenced neighbor reciprocity and perceived work stress, and gradually resulted in the reduction of depressed mood. The findings indicate that neighbor interactions could be advocated and strengthened in communities. Additionally, policymakers should create a more trusting and inclusive social environment to improve the mental health of young adults.

Structural Model of Antecedents and Consequences of Inpatient Satisfaction at dr. M. Haulussy Ambon Regional Hospital

This study aims to analyze the structural model of antecedents and consequences of inpatient satisfaction at RSUD dr. M. Haulussy Ambon. The research approach used is quantitative, associative with cross-section data collection, and ex post facto methods. The population used in this study were all non-BPJS inpatients at RSUD dr. M. Haulussy Ambon during June-August 2024. The sample determination was purposive as many as 100 non-BPJS inpatients at RSUD dr. M. Haulussy Ambon. Data were analyzed using path analysis.The results of the study indicate that (1) the patient satisfaction variable empirically becomes an intervening variable that is able to mediate service quality, hospital image and price perception towards the trust and loyalty of inpatients; (2) patient satisfaction variables do not only act as independent or dependent variables but are able to act as variables that are able to mediate the involvement of antecedent variables to consequence variables; (3) service quality, hospital image and price perception are antecedent variables to patient satisfaction: (4) inpatient trust and loyalty are consequence variables of patient satisfaction.

Study Of The Influence Of Public Expenditure And Macroeconomic Variables On The Happiness Index In Sumatera

This study aims to analyze the effect of public spending and macroeconomic variables (local government size, per capita GRDP, Gini coefficient, unemployment, inflation and tax revenue) on the happiness index in Sumatra. The types of data used in this study are cross-section data and time series data. Cross-section data covers 10 provinces in Sumatra, namely Aceh, North Sumatra, West Sumatra, Riau, Jambi, South Sumatra, Bengkulu, Lampung, Bangka Belitung Islands and Riau Islands. While the time series data consists of data from 2014, 2017 and 2021. The data sources are secondary data from the Central Statistics Agency and the Directorate General of Fiscal Balance, Ministry of Finance. The data were analyzed using the panel data regression method with the Common Effect Model approach. The results of the study show that Per Capita Income and Inflation have a significant effect on the happiness index in Sumatra. Meanwhile, public spending, local government size, Gini coefficient, unemployment rate, and local tax revenue do not show a significant effect on happiness. These findings suggest that while economic factors and the size of local government play an important role in improving well-being, the direct impact on people's happiness is influenced by a complex of other factors, including people's perceptions, social inequality, and the efficiency of resource management.

Analisis Pengaruh Indeks Pembangunan Manusia dan Keuangan Digital terhadap Pertumbuhan Ekonomi

This research discusses panel data regression models on the Human Development Index (HDI) and digital finance in Indonesia during the 2019-2023 period. The secondary data used in this research is a combination of time series data from 2019- 2023 and cross section data covering 34 provinces in Indonesia. This data was obtained from the Central Statistics Agency (BPS) and Bank Indonesia. The research began by determining the best panel data regression model using the REM (Random Effect Model) approach. The research results show that the HDI variable has a positive influence on economic growth, while digital finance has a negative influence on economic growth. Simultaneous tests show that overall, HDI and digital finance do not have a significant influence on economic growth.

Analysis of Competitiveness and Factors Affecting Indonesian Coal Exports

Indonesia is one of the largest countries that play a role in world coal exports. Coal is one of the non-oil and gas or mining export commodities that has an important role in the economy. The purpose of this study is to analyze the competitiveness and factors that influence Indonesia’s coal exports to the five main destination countries in 2012-2022. The data used is panel data, which is a combination of time series and cross-section data obtained through the Central Bureau of Statistics, BP Statistical Review Of World Energy, UN Comtrade, World Bank, as well as related articles and journals. To analyze the comparative competitiveness of Indonesian coal commodities in the five destination countries, the RCA (Revealed Comparative Advantage) method is used. This study uses a non-participant observation data collection method. The data analysis technique in this study is panel data regression analysis using Eviews 12 software. The results of this study indicate that the competitiveness and economic distance variables have a positive and significant effect on the volume of Indonesia’s coal exports to the five destination countries, while the exchange rate and GDP variables have a negative and insignificant effect on Indonesia’s coal exports to the five destination countries.

Multi-Step Simulations of Ionized Metal Physical Vapor Deposition to Enhance the Plasma Formation Uniformity

Ionized metal physical vapor deposition (IMPVD), which is operated at a very low pressure to take advantage of the metal sputtering effect on the target surface, has unique properties compared with conventional DC magnetron sputtering. In this study, we investigated the effect of the rotating magnetic field on the plasma formation of IMPVD to enhance the deposition uniformity. This was accomplished through a multi-step simulation, which enabled plasma analysis, sputtered particle and chemical reaction analysis, and deposition profile analysis. A two-dimensional particle-in-cell Monte Carlo simulation utilizes the exact cross-section data of the Cu ion collisions and calculates the particle trajectories under specific magnetic field profiles. This new methodology gives guidance for the design of the magnetic field profiles of IMPVD and an understanding of the physical mechanism.

THE EFFECT OF OPERATING CYCLE AND DEFAULT RISK ON PROFIT QUALITY WITH GOOD CORPORATE GOVERNANCE AS A MODERATION VARIABLE

This study aims to examine the influence of operating cycle and default risk on profit quality with good corporate governance as a moderator. The research method used is an associative quantitative method. The data used in this study is panel data, which is a combination of time series data and cross section data. The population in this study is companies in the consumer goods industry sector listed on the Indonesia Stock Exchange in 2019-2023. The determination of samples by purposive sampling technique was obtained from 16 companies with 80 observation data. The analysis technique and hypothesis testing were carried out by panel data regression analysis through EViews ver-12. Based on the results of the T test, it is known that the operating cycle has a significant effect on the quality of profits. On the other hand, default risk has no effect on the quality of profits. Meanwhile, good corporate governance cannot moderate the influence of operating cycle variables and default risk variables on profit quality.

Nuclear Data Uncertainty Propagation in the PWR MOX/UO2 Core Transient Benchmark

In light water reactor (LWR) transient analyses using deterministic simulation codes, best-estimate plus uncertainty (BEPU) approaches complement the results obtained from simulation codes with uncertainty quantification. In this study, a stochastic sampling–based uncertainty analysis function was developed under the framework of BEPU, enabling uncertainty quantification of important parameters in LWR steady-state and transient analyses using SIMULATE5 and SIMULATE5-K. In the uncertainty quantification of the dynamic behavior of nuclear reactors, the uncertainty knowledge of thermal-hydraulic parameters was highlighted; however, the nuclear data uncertainty propagation to dynamic behavior was insufficient. To bridge the knowledge gap, the uncertainties of interest parameters in the Organisation for Economic Co-operation and Development/Nuclear Energy Agency and the U.S. Nuclear Regulatory Commission PWR MOX/UO2 Core Transient Benchmark were quantified considering cross-section and kinetics data uncertainties. Consequently, the uncertainties of the maximum fuel enthalpy important for rod ejection transient analyses evaluated on the basis of the generalized extreme value distribution were equally contributed by cross-section and kinetics data uncertainties.

THE EFFECT OF INDUSTRIAL SECTOR GROWTH RATE, INVESTMENT AND WAGES ON LABOR ABSORPTION IN INDONESIA

The purpose of this study was to determine how much influence the Growth Rate Of The Industrial Sector, Investment And Wage On Employment In Indonesia. This study uses a panel data approach from 2018 to 2022 in 34 Provinces in Indonesia. This study uses a combination of Cross-Section data with Time Series with the help of Eviews 10. From testing the selected panel model, namely the Random Effect Model (REM), the results show that the Growth Rate Of The Industrial Sector partially has a positive and insignificant effect on Employment In 34 Provinces in Indonesia, partially Investment has a negative and insignificant effect on Employment In 34 Provinces in Indonesia and the variable allocation of funds, partially wages have a negative and significant effect on Employment In 34 Provinces in Indonesia. The test results simultaneously state that the variable Growth Rate Of The Industrial Sector, Investment and Wage have a significant effect on Employment In 34 Provinces in Indonesia.

Determinants of the Profitability of Savings Banks in the US and the Moderating Effect of the Pandemic Crisis

The pandemic crisis that began in 2020 and lasted until 2021 has raised concerns about the impact on banking profitability. As a result, the global banking system suffered a drop in the profitability of its banking business as part of the crisis. Taking into account the problem of profitability in the banking sector, some studies have been increasingly highlighted both in academia and in the financial market. Therefore, this study aims to analyze the determinants of bank profitability for banks operating in the savings segment in the United States, for the periods between 2012 and 2022. To this end, four factors explaining profitability (default rate, liquidity, solvency and productivity) were analyzed for 57 banks. In addition, we wanted to assess the moderating effect that the pandemic crisis had on the banking sector. To obtain the results, a panel data analysis model was used, combining cross-section data (banks) and time-series data (years), and a strongly balanced panel was obtained. Four multiple linear regression models were then used and it was possible to identify liquidity and solvency as the main positive factors in bank profitability. In contrast, the factors of default rate and productivity have a negative influence on bank profitability. The results also show that banks with high default rates had greater difficulties during the period of the pandemic crisis, that is, the crisis negatively moderated the effect of default on profitability.

Analisis Pengaruh Ekspor, Impor, Dan Kurs Terhadap Pertumbuhan Ekonomi Negara Anggota Asean (Periode Tahun 2012-2021)

The aim of this research is to analyze the influence of exports, imports and exchange rates on the economic growth of ASEAN member countries. This research uses a panel data regression analysis method (10 year time series data (2012-2021) multiplied by cross section data from 10 ASEAN member countries), so the number of samples is 100. The results of the research show that simultaneously there is a positive and significant influence on exports, imports and exchange rate on the economic growth of ASEAN member countries, while partially there is a positive and significant influence of exports on the economic growth of ASEAN member countries, partially there is a negative and insignificant influence of imports on the economic growth of ASEAN member countries, but partially there is a negative and significant influence of the exchange rate on economic growth of ASEAN member countries. From the research above, the main factor influencing economic growth is exports at 73.81%, meaning that exports are an important factor that ASEAN member countries are trying to increase. The results of the coefficient of determination test (R²) show that exports, imports and exchange rates influence economic growth by 49%, while the remaining 51% is influenced by other factors not discussed in this research. In supporting economic growth, the governments of ASEAN member countries are trying to maintain a balance of exports, imports and exchange rate stability by increasing production of the best products, then inviting the public to buy and use local products from each ASEAN member country.

Measurement and analysis of the 246Cm and 248Cm neutron capture cross-sections at the EAR2 of the n_TOF facility at CERN

The 246Cm(n,γ) and 248Cm(n,γ) cross-sections have been measured at the Experimental Area 2 (EAR2) of the n_TOF facility at CERN with three C6D6 detectors. This measurement is part of a collective effort to improve the capture cross-section data for Minor Actinides (MAs), which are required to estimate the production and transmutation rates of these isotopes in light water reactors and innovative reactor systems. In particular, the neutron capture in 246Cm and 248Cm open the path for the formation of other Cm isotopes and heavier elements such as Bk and Cf and the knowledge of (n,γ) cross-sections of these Cm isotopes plays an important role in the transport, transmutation and storage of the spent nuclear fuel. The reactions 246Cm(n,γ) and 248Cm(n,γ) have been the two first capture measurements analyzed at n_TOF EAR2. Until this experiment and two recent measurements performed at J-PARC, there was only one set of data of the capture cross-sections of 246Cm and 248Cm, that was obtained in 1969 in an underground nuclear explosion experiment. In the measurement at n_TOF a total of 13 resonances of 246Cm between 4 and 400 eV and 5 of 248Cm between 7 and 100 eV have been identified and fitted. The radiative kernels obtained for 246Cm are compatible with JENDL-5, but some of them are not with JENDL-4, which has been adopted by JEFF-3.3 and ENDF/B-VIII.0. The radiative kernels obtained for the first three 248Cm resonances are compatible with JENDL-5, however, the other two are not compatible with any other evaluation and are 20 and 60% larger than JENDL-5.

PENGARUH KEBIJAKAN BIAYA MERCHANT DISCOUNT RATE QRIS TERHADAP OMZET DI KANTIN

Financial Technology (Fintech) has changed the way business actors access financial services, manage finances, and interact with potential buyers. The presence of the Quick Response Code Indonesian Standard (QRIS) makes it easy to carry out non-cash payment transactions. However, unfortunately, using QRIS costs a Merchant Discount Rate (MDR) with the policy set by Bank Indonesia regarding MDR fees of 0.3% for every transaction > IDR 100,000 with QRIS payments as a payment channel for micro businesses. Micro business actors in the Brawijaya University Malang canteen must be prepared to face adjustments to the amount of MDR fees in the QRIS payment system. This researcher aims to determine the effect of MDR costs on turnover in the Brawijaya University Malang canteen. This research is quantitative research using simple linear regression analysis techniques for cross section data with a sample of 50 canteens at Brawijaya University, Malang. This research resulted in the conclusion that QRIS Merchant Discount Rate fees have no influence on turnover in the Brawijaya University Malang canteen. Keywords: Financial Technology, Merchant Discount Rate, Quick Response Code Indonesian Standard, Micro Business

Unitarity Effects in High-Energy Elastic Scattering

We investigate the high-energy behavior of the elastic scattering amplitude using the eikonal and U -matrix unitarization schemes. This work extends the analysis in [1] by exploring the sensitivity of the Pomeron and Odderon parameters to the inclusion of differential cross section data over an extended range of |t|.

Cross-Sections for Projectile Ionization, Electron Capture, and System Breakdown of C5+ and Li2+ Ions with Atomic Hydrogen

For many disciplines of science, all conceivable collisional cross-sections and reactions must be precisely known. Although recent decades have seen a trial of large-scale research to obtain such data, many essential atomic and molecular cross-section data are still missing, and the reliability of the existing cross-sections has to be validated. In this paper, we present projectile ionization, electron capture, and system breakdown cross-sections in carbon (C5+) ions and lithium (Li2+) ion collisions with atomic hydrogen based on the Monte Carlo models of classical and quasi-classical trajectories. According to our expectation, the QCTMC results show higher results in comparison to standard CTMC data, emphasizing the role of the Heisenberg correction constraint, especially in the low-energy regime. On the other hand, at high energy, the Heisenberg correction term has less influence as the projectile momentum increases. We present the total cross-sections of projectile ionization, electron capture, and system breakdown in C5+ ions and Li2+ ion collisions with atomic hydrogen in the impact energy range from 10 keV to 160 keV, which is of interest in astrophysical plasmas, atmospheric sciences, plasma laboratories, and fusion research.

Corporate social responsibility and firm performance: the role of firm reputation

Purpose This study aims to examine the role of firm reputation as a mediator in the relationship between corporate social responsibility and firm performance, along with the underlying mechanism. Design/methodology/approach This research is quantitative research that aims to explain the phenomenon of the relationship between the implementation of corporate social responsibility and firm performance. A total of 573 companies listed on the Indonesia Stock Exchange for the 2019–2021 period were sampled in this study. The analysis method in this study combines time series data and cross-section data called pooled data. Findings This research found a significant positive association between corporate social responsibility and firm reputation as well firm reputation is positively related to firm performance. In contrast, corporate social responsibility directly affects firm performance insignificantly. Based on the analyses, firm reputation mediates the effect of corporate social responsibility on firm performance. Research limitations/implications This study is limited due to its reliance on secondary data related to publicly listed companies from 2019 to 2021, which involves various downsides, that is many businesses still have not disclosed their engagement in corporate social responsibility practices. This study will ultimately yield practical implications for organizational managers, as it emphasizes the significance of corporate social responsibility in enhancing firm success. Originality/value The research presented in this paper contributes to the existing body of knowledge on corporate social responsibility by examining the impact of corporate social responsibility on firm performance. Furthermore, this study provides additional evidence for shared value creation by explaining the impact of corporate social responsibility on firm performance.

Online pre-perception of forming state based on real-time measurement in spinning of thin-walled shell component

Die-less spinning is an advance incremental forming process widely used for the manufacturing of thin-walled shell components. During the spinning, workpiece shape and forming state both change continuously, and the influence of process parameters on the forming results is also time-varying, which make it difficult to control the forming quality. To this end, this work develops a real-time measurement system and an online pre-perception method to provide technical support for dynamic control of the spinning process. Specifically, the real-time measurement system is constructed firstly by placing two laser profilers bilaterally at two sides of the workpiece. Based on the measuring data of two laser profilers, the profile data of workpiece cross-section is obtained by coordinate transformation, data denoising and correcting the error caused by inclined workpiece surface. Then, an algorithm is proposed to identify the critical geometric parameters (flange width, roller action radius, wall thickness and flange fluctuation degree) of workpiece shape from the profile data. In contrast to the measurement results by a three-coordinate measuring machine, the developed system presents a real-time measurement error less than 4 %. Moreover, an online pre-perception method of wall thickness and wrinkling defect is developed based on the real-time measured workpiece shape parameters. The online pre-perception of wall thickness and wrinkling defect presents high accuracy with the relative error less than 2.1 %. The above results indicate both the workpiece dimensions and spinning state can be well real-time measured and online pre-perceived, which can provide important foundation for the study of time-varying influence and dynamic control of the spinning process.

Context and cross-section data improve analyses of wine ratings

Abstract Much research shows that the ratings that critics, judges, and consumers assign to wines are heteroscedastic. A rating observed is one draw from a latent distribution that is wine- and judge-specific. Estimating the shape of a rating’s distribution by minimizing a sum of cross entropies has been proposed and tested. This article proposes a method of improving the accuracy of that estimate by using information about the context of a wine competition or cross-section ratings data. Tests using the distributions implied by 90 blind triplicate ratings show that the sum of squared errors for the solution using context or cross-section information is 50% more accurate than not using such information and over 99% more accurate than ignoring the uncertainty about a rating.