Statistical Reports Research Articles

THE ROLE OF FINANCIAL TECHNOLOGY IN PROMOTING GROWTH IN ISLAMIC FINANCE IN THE DIGITAL ERA

Financial technology (fintech) has increased and can potentially drive Sharia finance's growth. This study aims to analyze fintech's role in promoting Islamic finance's growth in the digital era. The research method uses a literature study. A descriptive analysis approach involves breaking secondary data in journals, articles, and statistical reports related to the research topic. The results of this study indicate that the adoption of fintech in Sharia finance is predicted to continue to increase, driven by the millennial Muslim population. Fintech provides opportunities for Sharia financial product innovation. However, the challenges of developing Sharia fintech are significant and related to regulations, compliance risk, and human resources. Some examples of Sharia fintech platforms, such as P2P lending and equity crowdfunding, have been quite successful. The prospects for sharia fintech in Indonesia are positive with the support of digital infrastructure and the millennial Muslim population. Regulatory support is needed so that Sharia fintech is truly compliant and can drive the growth of Islamic finance. Sharia fintech has the potential to be a game changer for the development of Islamic finance in Indonesia. Comprehensive support from regulators and stakeholders can realize the optimal implementation of Sharia fintech for inclusive and sustainable Sharia finance expansion.

Abstract 5468: Pediatric Preclinical In Vivo Testing (PIVOT) data portal enables access to 15 years of retrospective treatment study data in support of prospective study design

Abstract The PIVOT program (https://preclinicalpivot.org) is a National Cancer Institute (NCI) funded initiative in support of the RACE Act that funds collaborations between academic centers and industry partners to test the efficacy of targeted cancer treatments developed for adult oncology for potential application in diverse pediatric cancers, including cancers of the central nervous system, leukemia, osteosarcoma, sarcoma, and neuroblastoma. In support of the PIVOT program, we have harmonized more than 15 years of data collected during two previous preclinical pediatric testing programs. To disseminate the data and results of these programs broadly we designed and implemented the PIVOT Data Portal. The PIVOT Data Portal is an R Shiny App that makes treatment efficacy data from PIVOT accessible on the web. The data are harmonized which supports comparison of treatment results across different cancer types. The data from the portal are freely available and downloadable. The portal includes study summaries within and across cancer models, statistical reports, tables, and tools for the visualization of treatment results. Data summary tables include entries for objective response measures (ORM), mean outcome, number of tumor studies, and p-value as appropriate. Visualizations include relative tumor volume plots for solid tumors; CD45 plots for leukemia; and survival curves to compare survival time across treatment groups. Treatment study visualizations and data summaries with their related metadata can be generated and downloaded within the Shiny App, allowing researchers to perform further downstream analysis. The portal collectively contains data for 52 agents, 45 drug targets, 34 drug classes (including ADCs, small molecular inhibitors, protein degraders, BiTEs, etc.), and 167 models, with a total of 245,926 data points. Currently, 44% of agents have been tested on 2 or more cancer types. Among the solid tumor models tested, 10 had at least one treatment that resulted in an ORM of maintained complete response (MCR), while 29 leukemia models had an ORM of MCR. Similarly, 48% of agents tested had an ORM of MCR for at least one cancer type. The PIVOT Data Portal makes pediatric cancer model treatment data available without restriction to support retrospective analyses and design of prospective studies. We are working to link cancer model data within the portal to molecular data. Merging outcome data with genomics data will facilitate computational approaches for molecular target identification, personalized treatment, and treatment optimization. Citation Format: Saul E. Acevedo, Tim M. Stearns, Phillip Webster, Vivek Philip, Michael W. Lloyd, Anuj Srivastava, Steven Neuhauser, Dale Begley, Debbie Krupke, Emily L. Jocoy, Carol J. Bult, Jeffrey H. Chuang, Dennis A. Dean. Pediatric Preclinical In Vivo Testing (PIVOT) data portal enables access to 15 years of retrospective treatment study data in support of prospective study design [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5468.

Abstract 5467: Identification of possible new treatment options for rare pediatric CNS tumors using a panel of validated and characterized PDX models

Abstract Central nervous system (CNS) malignancies are the most frequent group of childhood solid tumors. While pediatric mortality due to CNS tumors has decreased over the past 40 years, however, there has been no significant change in brain and other CNS tumor mortality in children and adolescents since 2007*. Advances in research and innovative therapies are crucial to improving outcomes and reducing mortality. Collaborative efforts between researchers, healthcare professionals, and the pharmaceutical industry play a pivotal role in developing more effective treatments for these indications. One important piece in this endeavor is the availability of well characterized preclinical models for rigorous preclinical testing. In the framework of the ITCCP4 consortium (www.ITCCP4.eu) our group determined the pharmacological profile of ten orthotopically implanted pediatric brain tumor PDX models. The panel comprises amongst others four CNS-BCOR models, one ZFTA::RELA ependymoma model and two models of PFA ependymoma. We tested the models in a single mouse trial format with 16 arms covering standard of care therapy including radiation as well as targeted agents. All tumors were intracranially implanted into immune-compromised NSG mice. Tumor load was determined using a fluorescence based in vivo imaging technology based on the lentiviral transient transduction of PDX cells with iRFP713 prior to implantation into the brain. In addition, body weight and neurological scoring were monitored to determine the overall condition of the animals. At the end of the study brain tissue was harvested and tumor load confirmed by immunohistochemistry. Vismodegib, a first in class inhibitor of the hedgehog signaling pathway, was the most efficacious treatment with a significantly extended overall survival (Log Rank, p< 0.001) and a reduced tumor load compared to untreated control arms. The effect was most prominent in the subclass of CNS-BCOR models leading to growth delay or stable disease. Several targeted agents such as Ipatasertib (AKT inhibitor), Idasanutlin (MDM2-antagonist) and standard of care such as Carboplatin and Radiotherapy induced stable disease as well but had no significant effect on overall survival. The positive results for Vismodegib, Ipatasertib as well as Idasanutlin will be validated in a smaller subset of models in a conventional set-up to confirm the current dataset. In summary, the single mouse trial format using intracranially implanted PDX models proved to be a feasible tool to identify most promising drug candidates for pediatric ependymoma. *Ostrom QT, Price M, Ryan K, Edelson J, Neff C, Cioffi G, et al.. CBTRUS statistical report: pediatric brain tumor foundation childhood and adolescent primary brain and other central nervous system tumors diagnosed in the United States in 2014-2018. Neuro-Oncology (2022) 24(Supplement_3):iii1-38. Citation Format: Eva Oswald, Dorothee Lenhard, Kanstantsin Lashuk, Olivier Delattre, Didier Surdez, Johannes Gojo, Daniela Lötsch-Gojo, Walter Berger, Stefan Pfister, Julia B. Schueler. Identification of possible new treatment options for rare pediatric CNS tumors using a panel of validated and characterized PDX models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5467.

E-Health Training of Medical Specialists in Russia

Purpose. The article discusses the improvement of e-Health training of medical specialists in Russia, and the challenges that doctors face when working with different health information systems. 
 Methodology. The study used both qualitative and quantitative data of the online survey conducted during the primary case study. Online survey targeted students of the Department of Medical Informatics and Cybernetics of N.I. Pirogov Russian National Research Medical University and doctors who were receiving initial training under the e-Health advanced training program. The survey aimed to determine systemic challenges and demand for training in various medical information systems. 
 Findings. Research data suggest that in order to bridge the digital gap, educational and training programs should include training versions of medical information systems used in Russian practical healthcare (electronic document flow system, EMIAS, Statistica, Sotsstrakh, Retsipient, etc.). It will enable doctors to enhance their theoretical and practical skills, abilities and knowledge, thus improving the quality of educational and work processes. Practicing health specialists who not only possess the theoretical knowledge, but also actively work in these areas (temporary disability examination, evaluation of medical care quality, work with citizens' appeals, compilation of numerous statistical reports, etc.) should be involved as mentors in the educational process. Simultaneous connection under the same login and password from multiple devices should be restricted to protect personal data and increase the security level of electronic document management systems in Russia.

Application of potential machine learning models in landslide susceptibility assessment: A case study of Van Yen district, Yen Bai province, Vietnam

Landslides are natural hazards that cause significant damage to both property and human lives. This study employs potential machine learning models such as Random Forest (RF), Gradient Boosting (GB), and Support Vector Machine (SVM) to assess landslide susceptibility in Van Yen District, Yen Bai Province, Vietnam, that experiences a higher frequency of landslides compared to other localities in the region. The study incorporates thirteen input variables, including elevation, slope angle, aspect, plan curvature, profile curvature, Topographic Wetness Index (TWI), distance to faults, lithology, distance to roads, distance to rivers, land cover, rainfall, and Normalized Difference Vegetation Index (NDVI). To construct the models, landslide statistics reports were utilized, consisting of 302 landslide points collected through field surveys and 52 landslide points determined using Radar Sentinel-1 images. The Google Earth Engine cloud computing platform is utilized for constructing the landslide susceptibility models. The outcome of the research is a landslide susceptibility map with five levels: very low, low, moderate, high, and very high. The Area Under the Curve (AUC) is used as a metric to evaluate the performance of all three models. The findings indicate that, besides similarities observed in landslide susceptibility maps for previously occurred landslides, the Random Forest model demonstrates a favorable performance compared to the other models, with an AUC of 0.883.

INPATIENT DISEASE PATTERNS AT PHAM NGOC THACH TRADITIONAL MEDICINE HOSPITAL LAM DONG

The article presents the disease pattern of inpatients at Pham Ngoc Thach Traditional Medicine Hospital in Lam Dong from 2021 to 2023. The study was conducted using a cross-sectional, retrospective descriptive method, utilizing data from the hospital's medical records system and statistical reports from 2021 stored in the hospital's archives. Information was collected from patient records following predefined selection criteria, encompassing all adequately documented cases during the inpatient treatment period from January 1st, 2021 to August 31st, 2023. The research findings revealed that the group of diseases related to musculoskeletal and connective tissue accounted for the highest proportion at 57.79%, followed by circulatory diseases at 24.18%, and nervous system diseases at 7.75%. Other groups of diseases such as digestive, trauma, and respiratory systems also appeared, albeit with lower proportions. Particularly, rare disease groups like ear and mastoid bone diseases, and skin and subcutaneous tissue diseases were noted. These results provide a comprehensive overview of the disease distribution, supporting decision-making and the development of effective treatment strategies for inpatients in the upcoming period.

DO PEOPLE SAVE ENOUGH FOR TOMORROW? THE COMPARATIVE STUDY ON WESTERN BALKANS

Due to the increase in life expectancy and the decline in the birth rate, which has an impact on the increase in the proportion of the older population, there is a need to develop a rational pension strategy. This is a behavioral economic analysis of voluntary pension funds in the Western Balkans. The main goal of the research is to determine whether fund users behave according to the well-known Richard Thaler model or have a specific pattern of behavior. According to Thaler’s model, people make financial decisions with limited rationality. They are impatient and short-sighted, which is why they focus on the present rather than the future. Younger employees mainly opt for actions that give them immediate gratification rather than planning for the future. More money flows into pension funds when people are approaching retirement, not when they are in their best working and financial position. Another peculiarity of the Western Balkans is that they have gone through a long period of transition, a period of instability, and that long-term savings were not on the agenda for the average family. The paper is based on a hypothesis that should determine whether users of voluntary pension funds in Western Balkans countries (Serbia, North Macedonia, Montenegro) increase a portion of their salary savings as they approach the retirement period. Analysing the content of the statistical reports collected in the pension funds was used as a method of data collection. A regression analysis was performed to examine the established model. Model creation and calculations were performed in IBM Amos 25 and SPSS 25. A significance level was set to α=0.05 (Hair et al., 2019). The results for Serbia, showed significant values for all three R coefficients. R square values were taken into account. Based on the results, the predictor variable (number of users by age) has significantly explained the variability of “amounts of accumulated funds by age” in all three countries of the Western Balkans. The fund users in all three countries behave similarly, paying significantly higher amounts into the fund after the age of forty. Beneficiaries aged between 20 and 39, members of a very productive labour cohort, pay lower, often symbolic amounts into the pension funds. We are talking about relatively young funds in their infancy, which are unstable or insufficiently stable. A more stable and efficient structure can be observed in the case of Serbian voluntary pension funds.

Laminar mixing of Newtonian and non‐Newtonian fluids in SMX static mixer

AbstractThis report is focused on understanding the mixing performance of Newtonian and non‐Newtonian fluids in an SMX static mixer through computational fluid dynamics (CFD) study in Simcenter STAR‐CCM+. For this, the standard SMX mixer with four mixer elements of radius 26 mm was chosen. The aspect ratio (L/D) was taken as 1. The model constructed was compared using pressure drop ratio values available in literature. First, the design was validated for Newtonian fluid, then for shear‐thinning fluid (non‐Newtonian). Mixing patterns produced through particle tracking approach revealed how blending improved as the fluid moved downstream and interacted with increasing number of mixer elements. A sensitivity study was undertaken to investigate the effect of particle injection mechanism on the mixing process. Two injection methods, vertical and horizontal, were explored to check the influence of injection position on mixing. The results indicate that for the given configuration irrespective of the injection location, at least four mixing elements are needed to achieve good mixing for both Newtonian and shear‐thinning fluids investigated in this study. Statistical reports were used to quantify mixing to understand the mixing behaviour for Newtonian and non‐Newtonian fluids with change in Reynolds number. At high Reynolds number, non‐Newtonian fluids exhibited better mixing abilities. Further, efforts were taken to optimize the various design parameters to produce the most optimum solution with a single mixer element for Newtonian fluid.

Implications of the Role of Green Jobs in the Development of Low-Carbon Tourism

Afterward, the tourism sector contributes to environmental impact. Accelerating the tourism sector’s role to achieve net zero carbon tourism activities for a higher quality experience is indispensable. Instead, there is currently a change in tourism trends that focus on developing sustainable tourism and implementing low-carbon tourism within sustainable development resulting in green job opportunities that positively impact economics, socio-cultural, environment, and communities. Based on several previous studies, not much research has been found on the implications of the role of green jobs in developing the tourism sector in Indonesia. Qualitative literature methods such as journals, books, study reports, statistical reports, and policy and regulations, and the acquisition of data and information are analyzed using the VRIO (value, rarity, imitability, and organization) approach. Commence by identifying the issue related to low-carbon tourism and their impact on the value creation of green jobs as an enabler to support sustainable tourism, resource capacity, and competitiveness, and the results of the VRIO analysis to obtain strategic implications. Indonesia's low-carbon tourism sector has four key elements that can provide a sustainable competitive advantage: environmental innovation, investment in an environmentally friendly tourism industry, human resource capacity, and green skills.

IMPACT OF DIGITAL FINANCE ON STOCK MARKET PERFORMANCE IN NIGERIA (2012M1-2021M12)

Purpose: The stock market has long played a significant role in fostering economic growth in developing countries by providing equity funds for capital formation. Technological advancements, particularly in digital technology, have significantly influenced financial services, becoming a crucial aspect of financial affairs. Notably, digital payment services have gained prominence in Nigeria, offering potential improvements to the Nigerian stock market. Despite this, there appears to be a perceived gap between digital finance transactions and the performance of the Nigerian stock market. Therefore, this study centred on the impact of digital finance on stock market performance in Nigeria. The study specifically aimed to assess the influence of Automated Teller Machine (ATM), Point of Sales (POS), mobile payment (mobilepay), and web-based payment (webpay) digital finance transactions on stock market capitalization ratio in Nigeria. Methodology: This study, conducted for the period from January 2012 to December 2021, utilized Fully Modified Ordinary Least Squares regression to investigate the impact of digital finance on stock market performance in Nigeria. Monthly secondary data were sourced from the Central Bank of Nigeria's Statistical Bulletin, Statistics and Monthly Economic Reports. Findings and Conclusion: Empirical findings revealed that ATM, POS, mobile-based, and web-based digital finance transactions had a positive and significant impact on the stock market capitalization ratio in Nigeria. Consequently, the study concluded that digital finance contributes to enhancing stock market performance in the country Originality/Value: To promote further growth in the stock market, the study recommends expanding the deployment and usage of digital finance channels such as ATM, POS, mobile-based, and web-based channels, encouraging their utilization for stock market transactions by participants.

Does Banking Risk And Macroeconomics Variables Matter For Agricultural Sector? Evidence From Lampung Province

This research is conducted to investigate the factors that influence the financing of the agricultural sector on Islamic banking in Lampung Province. The data used in this research is time series data from Islamic Commercial Banks (BUS) and Islamic Business Units (UUS) in Lampung Province totaling 120 samples. The data are obtained from the statistical reports of the Financial Services Authority (OJK) on sharia banking in Indonesia, and data from the Indonesia Statistics (BPS). The method used is a quantitative analysis using multiple linear regression. This study shows that the variables of Financing to Deposit Ratio (FDR) and TPF have a positive and significant correlation. However, the SBIS variable has a negative and insignificant effect on Agricultural sector financing. On the other hand, the Non-Performing Financing (NPF) variable has a negative and significant correlation, and the variable Inflation has a positive and insignificant on the agricultural sector financing in Lampung province.

Bridging gaps: improving the access of primary health care in rural Ukraine through mobile health units

Rural healthcare is an integral part of the Ukrainian healthcare system. However, access to healthcare for the rural population is uneven due to poor development of medical infrastructure and staffing. The problem of access to medical care in rural areas has been exacerbated by the full-scale war.The objective: to study and analyze the current state of accessibility of primary health care in rural areas in Ukraine, followed by a discussion of promising areas for the introduction of mobile health units as a tool for implementing the “Medical Guarantees” program in hard-to-reach regions of Ukraine.Materials and methods. The study included data from official statistical reports, regulatory documents and scientific sources. The methodology includes bibliosemantic, medical and statistical methods and the method of structural logical analysis.Results. It has been established that the low level of access to primary health care for the rural population of Ukraine has been significantly exacerbated by the devastating impact of the war on medical and transport infrastructure, especially in the frontline and recently de-occupied rural areas, and by migration processes. The situation is complicated by the fact that most patients in rural areas are elderly people who are physically unable to use public transportation, even if it is available. The analysis of international practice has shown that mobile health units can be introduced into the public healthcare system as a temporary measure to meet the urgent needs of the Ukrainian population, especially in rural areas. Integration of mobile health units into the state program “Medical Guarantees” can effectively address the urgent health care needs to increase access to health care for the rural population of Ukraine. State regulation of the division of these units will eliminate problems such as duplication and uneven service delivery and will create a transparent system of remuneration for the staff included in these units.Conclusions. The results of the study suggest that the practice of mobile medical units should be introduced as a tool for implementing the “Medical Guarantees” program for regions/locations of Ukraine with low access to medical infrastructure, namely remote rural areas and areas that have been devastated by the war. Mobile medical units will ensure the stability of access to primary health care services and contribute to improving the health of the population.

Initial experience with Bulgarian Arthroplasty Register.

National arthroplasty registries date back to 1975, when the Swedish Knee Arthroplasty Register was founded. This method of database collecting has since been employed for both patient follow-up and the creation of annual statistical reports. In Bulgaria, there is currently no state-approved software that offers these features.

ON THE USE OF THE METHOD OF EXPEDIENT PROBLEMS TO ACTIVATE STUDENTS' COGNITIVE ACTIVITY IN THE PROCESS OF TEACHING MATHEMATICS IN THE NEW UKRAINIAN SCHOOL

Formulation of the problem. The motivation of students to study a subject at school largely depends on the methodology used by the teacher in the teaching process, and his or her ability to convey new knowledge to students in an interesting and accessible form. This problem becomes especially relevant in the context of the New Ukrainian School project, which involves shifting the emphasis in the learning process from the teacher to the student and puts in the forefront the needs of the latter. For a child to be interested in learning and sufficiently motivated, a teacher should have an answer to the question "Why do we need to learn this?" The method of expedient problems gives one of the possible answers to this question, helps the teacher to motivate the student to study mathematics, and indicates directions for further use of mathematical knowledge. The importance of developing students' ability to apply mathematical knowledge in practice is further confirmed by the results of the International Comparative Studies PISA 2018 and PISA 2022, as well as statistical reports of the Ukrainian Center for Educational Quality Assessment in Mathematics. Materials and methods. To achieve our goal, we use a theoretical analysis of the methodological literature related to the chosen research topic. We also implement empirical methods, including conducting our own survey via Google Forms, observing the educational process in secondary schools, and analyzing students’ performance. Results. To study the feasibility and possibility of using the method of expedient problems in teaching mathematics in the NUS, we surveyed 290 mathematics teachers with different pedagogical experiences and qualifications from all regions of Ukraine. In particular, we assumed the effectiveness of using expedient problems in the process of teaching mathematics. The survey was conducted anonymously and online via the Google Forms platform. The results of the survey show that a significant number of respondents are familiar with the method of expedient problems and regularly or constantly use such tasks in the learning process. In addition, they are convinced of the need to include such tasks in existing math textbooks. The survey also shows at what stages of the lesson and when studying which content areas of the mathematics course, in the opinion of the respondents, it is most appropriate to use the method of expedient problems. Conclusions. To ensure the proper quality of students' acquisition of the necessary competencies envisaged by the New Ukrainian School project, the use of appropriate tasks at different stages of the lesson and in the study of different content areas of the school mathematics course is quite appropriate and possible. Although only half of the surveyed teachers currently use such tasks in their pedagogical activities regularly, most of the respondents consider them useful. In addition, teachers express a wish to provide methodological support for the effective implementation of appropriate tasks in the educational process, in particular, in the form of ready-made didactic materials and methodological recommendations for their creation.

Petrophysics of Low Resistivity Reservoir

Low resistivity reservoirs have long been known in the oil and gas industry as reservoirs that have significant potential and contribution to oil and gas production. This reservoir is very unique because of its relatively low resistivity readings (< 5 Ohm) and often other log responses do not show the way carbonate-containing reservoirs do, so they are often overlooked and not considered as potential carbon reservoirs. The low resistivity reading also causes the Water Saturation (Sw) value to be too high, which contributes to why the reservoir is overlooked. Theoretically, the factors that cause low resistivity readings are high clay/shale content, fine grain size, high salinity air formation, presence of microporosity and presence of conductive minerals which affect resistivity log readings in addition to other things such as low structured reservoirs. and there is a significant slope of the layers. Based on statistic reports, generally in low resistivity reservoirs there is a combination of two or more of the causal factors mentioned. This study aims to identify the characteristics of low resistivity reservoirs in the Upper Cibulakan Formation, West Java Basin, especially from log readings and recognition of what factors support reservoir formation both from the results of core and log analysis as well as selecting combinations for calculating water saturation. From the low resistivity reservoir characteristics, it is hoped that it can be used to find and identify the distribution of similar reservoirs so that potential reservoirs that have been overlooked so far can be identified, discovered and developed which in the end are expected to provide additional contributions both in terms of education and for the oil and gas industry in finding new reserves for oil and gas production in Indonesia.

The Influence of Tax Service Quality on Presumptive Taxpayers’ Compliance in Tanzania: A Case of Ilala Tax Region

This study was conducted to examine the influence of tax service quality on presumptive taxpayers’ compliance in Tanzania: a case of Ilala Tax Region. The study was guided by three specific objectives as indicated by independent variables namely Tax Service Reliability, Tax Service Responsiveness and Tax Service Tangibility. The study adopted a positivist philosophy, employed a deductive approach, and utilized survey strategy. The study was conducted in Ilala Municipal with a sample of 384 respondents. Probability sampling procedure was applied through simple random sampling technique. The study used both primary and secondary data. Primary data was collected through questionnaires. Peer reviewed journal articles relevant for the subject matter, national tax and trade statistics reports from Tanzania Revenue Authority (TRA) and National Bureau of Statistics (NBS) were reviewed for secondary data. Data was analyzed using the OLS regression model. This study has found that Tax Service Reliability and responsiveness has no significant influence on presumptive tax payer’s compliance in Ilala Tax Region. Also the study revealed Tax Service Tangibility to have a significant positive influence on presumptive taxpayers’ compliance in the Ilala tax region. From the results, this study recommends Tanzania Revenue Authority (TRA) to focus on enhancing the perceived reliability of their tax services, including measures to ensure consistent interpretation and application of tax regulations, improving the accuracy of tax assessments, expediting the issuance of tax-related documents, enhancing the transparency of tax procedures and policies, and maintaining reliable online tax filing systems. Additionally, they should prioritize improving responsiveness to taxpayers’ needs by enhancing the promptness of addressing inquiries and concerns, making tax authority representatives more accessible through various communication channels, offering comprehensive assistance and guidance, and ensuring clarity in tax-related communication materials to enhance taxpayers’ understanding and compliance.

Challenging knowledge production on migration with statactivism: the category ‘migration background’ and some destabilizations

ABSTRACT ‘Migration background’ has been an official category of population statistics in Germany since 2006 and has become an integral part of knowledge production about Germany as an immigration country. However, ‘migration background’ is not only a way of constructing ‘migrant’ and ‘native’ populations; it is also employed as a marker of ethnic inequality and often differentiated into subgroups to stand for national links or ethnic descent. I reflect on these observations as utterances of methodological nationalism inscribed into data practices and (non)knowledge production in migration research. I link them to ideas about statactivism (Bruno et al. 2014. “Statactivism.” Partezipatione & Conflitto 7 (2): 198–220) as a means of intervention. I give some examples of how I have tried to destabilize the usual (non)knowledge production in migration research and reflect on the possibilities for individual researchers to do so. My ethnographic analysis is based on a close reading of national statistical reports, fieldwork in statistical offices, participatory observations in workshops, informal and formal interviews, and my own involvement in (non)knowledge production.

Pengaruh Profitabilitas dan Ukuran Perusahaan terhadap Nilai Perusahaan: Studi Empiris pada Perusahaan Perbankan yang Terdaftar di Bursa Efek Indonesia Tahun 2019-2022

This study aims to determine and analyze the effect of profitability and firm size on firm value. Firm value is a dependent variable that can be influenced by profitability and firm size. The sample selection method is purposive sampling. The type of data is quantitative and the secondary data source is taken from the company's financial statements and annual statistical reports. The data collection technique used is the documentation technique from the official IDX website. The findings of profitability have a significant positive effect on firm value in line with signal theory. Meanwhile, firm size has a significant negative effect on firm value, not in line with signal theory.

“Statistical Significance” and Statistical Reporting: Moving Beyond Binary

Null hypothesis significance testing (NHST) is the default approach to statistical analysis and reporting in marketing and the biomedical and social sciences more broadly. Despite its default role, NHST has long been criticized by both statisticians and applied researchers, including those within marketing. Therefore, the authors propose a major transition in statistical analysis and reporting. Specifically, they propose moving beyond binary: abandoning NHST as the default approach to statistical analysis and reporting. To facilitate this, they briefly review some of the principal problems associated with NHST. They next discuss some principles that they believe should underlie statistical analysis and reporting. They then use these principles to motivate some guidelines for statistical analysis and reporting. They next provide some examples that illustrate statistical analysis and reporting that adheres to their principles and guidelines. They conclude with a brief discussion.

Role of Symptomatic Management in Understanding Effects of Early Integration of Palliative Care among Nonmetastatic Lung Cancer Patients on Psychological Well-Being

Aim. The impact of early referral to palliative care on quality of life for patients with lung cancer has already been discussed. However, the benefits of early integration of palliative care service (EIPCS) combined with standard oncology care for nonmetastatic lung cancer patients remain unclear. Hence, we designed a study to assess the impact of EIPCS among nonmetastatic cancer patients in India. Methods. In this randomized controlled trial study, we divided the data from 115 patients with diagnosed nonmetastatic lung cancer between age group of >18 years to ≥65 years. Following clinicopathological and radiology diagnosis, patients were referred to pain and palliative medicine department. Patients were randomly assigned by palliative physicians into two groups: Group A (N = 64), those who were receiving standard oncology care (chemotherapy or radiation or both) along with EIPCS, and Group B (N = 51), receiving standard oncology care. Patients were followed up every 3 weeks up to 3 months. Primary outcomes, symptoms’ burden, and psychological well-being were measured by validated tools. To define the impact of EIPCS, appropriate statistics were calculated as the mean ± standard deviation of the score of validated tools. Statistical significance was defined at p<0.005. Results. From the beginning, we had taken 115 patients, and on 42 days’ follow-up, the number of dropout patients for Group A was 3 (due to unable to contact), and for Group B, 9 (due to physical condition). This was followed by a reassessment after 126 days where dropout patients for Group A was 4 (due to unable to contact), and for Group B, 7 (due to physical condition). Following statistical report compliance at 126 days by WEMWBS was 21.16 ± 3.65 in Group A versus 16.1 ± 1.93 versus in Group B and by ESAS 51.84 ± 0.01 in Group A versus 97.64 ± 2.18 in Group B. Conclusion. The findings of this study showed that patients with nonmetastatic lung cancer who received standard oncology care combined with EIPCS had increased the psychological well-being and reduced symptoms burden.