Statistical Review Research Articles

The Impact of Changes in Population Structure on the Economic Development in China and the US

Abstract: China and the United States are both undergoing notable shifts in their population dynamics, marked by longer life expectancy and fewer births. This shift is resulting in population aging, with a growing proportion of elderly people compared to younger generations. Studying the impact of population changes on economic development offers valuable guidance for policymakers in China and the US. The research will utilize statistical analysis, data collection, literature review, and comparative case studies as its methodologies. And it informs effective policies in healthcare, education, retirement, and workforce planning. Both China and the United States are witnessing demographic changes marked by aging populations, impacting labor force participation, healthcare expenses, and social security outlays. And both nations confront challenges in maintaining skilled workforces and have implemented policies like fertility incentives, immigration reform, and education investments to address these issues. However, the impacts of demographic changes vary significantly between the two countries. This is due to differences in government policies and culture, such as immigration and fertility policies. Therefore, each country needs to address issues based on the actual changes in its population structure. By leveraging mutual learning and implementing tailored policies, both China and the United States can adeptly navigate demographic shifts, fostering sustainable growth and prosperity.

SOCIAL POLICY IN THE PUBLIC ADMINISTRATION SYSTEM: ENSURING EQUAL ACCESS TO SOCIAL SERVICES

he article explores current issues of social policy within the public administration system of Ukraine in the context of decentralization, focusing on ensuring equal access to social services for all population groups. The relevance of the research is driven by the need to adapt social policy to new challenges. Key problems identified include socio-economic instability and the consequences of the war. The objective is to identify the main problems and factors affecting the effectiveness of social services delivery. The research aims to find ways to improve social policy at the regional level. The study employs methods such as comparative analysis, statistical review, index-based approach, and social service efficiency evaluation methodology. A comparative analysis of countries like Sweden, Germany, France, and Estonia revealed effective approaches to organizing social policy, with their practices partially applicable in today’s Ukraine. The research results indicate that decentralization has expanded the financial and organizational autonomy of local communities. The war’s impact has been significant, leading to reduced institutional capacity of authorities, the destruction of social infrastructure, and workforce shortages. The article proposes a conceptual model for assessing equal access to social services, which includes five key components: social capital, economic potential, infrastructure, governance level, and digital capabilities. This model enables the evaluation of access to social services based on objective indicators while accounting for regional specificities. The practical application of this model will help identify strengths and weaknesses in social policy at the local level and determine priority areas for future development. The conclusions emphasize that improving the mechanisms of financing, organizing, and monitoring social service delivery is a crucial task today. A key consideration is the specific characteristics of regions and contemporary challenges. Future research prospects include developing new approaches to evaluating the effectiveness of social services. Additionally, future studies should focus on examining the impact of digitalization on access to social services and integrating international experience to enhance the resilience of Ukraine’s social system.

Implementation of SAMPL Guidelines in 100 clinical medicine articles: enhancing statistical reporting and recommendations for biomedical journals

BackgroundContemporary observations indicate insufficient quality in the reporting of statistical data. Despite the publication of the SAMPL guidelines in 2015, they have not been widely adopted. The aim of this article is to highlight the incorporation of SAMPL Guidelines in the statistical reviews of articles related to clinical medicine, as well as the changes implemented by authors in revised manuscripts as a result of such guidance. An additional objective is to provide recommendations for biomedical journals regarding the necessity of integrating SAMPL Guidelines into their daily practices. MethodsThe study incorporated 100 selected statistical reviews of original clinical medicine articles from 8 biomedical journals, conducted between 2016 and 2023. Each of these reviews suggested specific SAMPL Guidelines to be implemented in the revised manuscript. It was evaluated which specific SAMPL Guidelines were most frequently enforced and what changes resulted from their implementation. ResultsSeventy-five percent of the manuscripts in question garnered acceptance following a solitary round of statistical evaluation. Among the most frequently recommended and subsequently implemented SAMPL Guidelines by the authors are a more thorough description of the purpose of the applied statistical tests (65%), indication of the practical significance of the obtained results, including calculation of relevant effect size measures (64%), analysis of assumptions necessary for the application of specific statistical tests (58%), and consideration of the impact of outlier values on the obtained results (34%). ConclusionTo improve the quality of statistical reporting in biomedical journals, greater emphasis should be placed on implementing SAMPL Guidelines.

Life cycle assessment of liquid biofuels: What does the scientific literature tell us? A statistical environmental review on climate change

More than 580 peer-reviewed articles dealing with life cycle assessment (LCA) of biofuels, published from 2012 to 2020, were identified in the scientific literature. Articles without a clear and complete LCA hypothesis were discarded. This resulted into 172 useable articles, providing 566 carbon footprints. LCA of biofuels is a topic that has attracted increasing interest in recent times, with an average production of 20 papers per year on the subject. The objectives addressed range from installation optimisation and the assessment of new types of biomass to comparison of pathways and the impact of methodological choices in LCA. The analysis of published carbon footprints reveals a hierarchy in terms of the carbon footprint of diesel, gasoline, and jet fuel substitutes. The type of feedstock appears to be a determinant. Data collected from the literature highlight that biofuels’ carbon footprint varies greatly. However, the climate change mitigation potential of some pathways can be clearly confirmed. Methodological choices adopted by LCA practitioners remain an important source of differences in LCA results, as the allocation choices for co-products or the inclusion of land use change can lead to a wide range of results. The carbon neutrality principle also has the potential to influence LCA results, as described in the statistical analysis. Through an extensive literature review and a statistical analysis using econometric methods, this work provides an overview and analysis of the variability of the environmental impacts of biofuels in terms of greenhouse gas (GHG) to help shape stakeholder decision-making.

Big Data Analytics on Road Traffic Accidents in India: A Critical Statistical Review on Safety Measures and Awareness on Accidents

Big Data Analytics on Road Traffic Accidents in India: A Critical Statistical Review on Safety Measures and Awareness on Accidents

A Statistical Analysis of Commercial Articulated Industrial Robots and Cobots

This paper aims to elucidate the state-of-the-art, prevailing priorities, and the focus of the industry, and identify both limitations and potential gaps regarding industrial robots and collaborative robots (cobots). Additionally, it outlines the advantages and disadvantages of cobots compared to traditional industrial robots. Furthermore, three novel factors are introduced in this survey as metrics to evaluate the efficiency and performance of industrial robots and cobots. To achieve these purposes, a statistical analysis and review of commercial articulated industrial robots and cobots are conducted based on their documented specifications, such as maximum payload, weight, reach, repeatability, average maximum angular speed, and degrees of freedom (DOF). Additionally, the statistical distributions of the efficiency factors are investigated to develop a systematic method for robot selection. Finally, specifications exhibiting strong correlations are compared in pairs using regressions to find out trends and relations between them, within each company and across them all. The investigation of the distribution of specifications demonstrates that the focus of the industry and robot makers is mostly on articulated industrial robots and cobots with higher reach, lower payload capacity, lower weight, better repeatability, lower angular speed, and six degrees of freedom. The regressions reveal that the weight of robots increases exponentially as the reach increases, primarily due to the added weight and torque resulting from the extended reach. They also indicate that the angular speed of robots linearly decreases with increasing reach, as robot manufacturers intentionally reduce the angular speed through reductive gearboxes to compensate for the additional torque required as the reach extends. The trends obtained from the regressions explain the reasons behind these interrelationships, the design purpose of robot makers, and the limitations of industrial robots and cobots. Additionally, they help industries predict the dependent specifications of articulated robots based on the specifications they require. Moreover, an accompanying program has been developed and uploaded on to GitHub, taking the required specifications and returning a list of proper and efficient robots sourced from different companies according to the aforementioned selection method.

Statistical review of literature sources on carbon emissions during the CSPB based on knowledge graphs

Statistical review of literature sources on carbon emissions during the CSPB based on knowledge graphs

ANALYZING COAL CONSUMPTION IN CHINA: FORECASTING WITH THE ECFGM(1, 1) MODEL AND A PERSPECTIVE ON THE FUTURE

The study analyzes coal consumption using the ECFGM(1, 1) model by utilizing time series data provided by the Statistical Review of World Energy for the years 2016-2019. The optimal α value, determined using the Brute Force Algorithm, is utilized to establish the model’s parameters and formulate the solution function. Subsequently, the model’s predictive accuracy is assessed using data from the years 2020-2022, with the resulting Mean Absolute Percentage Error (MAPE) reflecting the model’s overall performance.

The Impact of the Oil Industry on the Economic Development of Nigeria

The study examined the impact of the oil industry on the economic development of Nigeria. The Nigerian petroleum industry dominates the Nigerian economy in terms of profits and revenue. According to the recent Petroleum Export Organization (OPEC) report, Nigeria currently ranks as the world's tenth-largest crude oil reserves and also the world's fifteenth crude oil producer. According to national statistics, the industry generates for the country more than 95% of the country's external revenue and about 80% of government revenue. Secondary data collected on the economic variable used in the study comes from the World Bank, worldometer, and the International Monetary Fund, Statistical Review of World Energy, Central Bank of Nigeria (CBN) Statistical Bulletin, CEICDATA (Organization of the Petroleum Exporting Countries) from 1990 to 2016. An augmented Dickey-Fuller unit root test, and autoregressive distributive lag (ARDL) method, and ARDL related to the test co-integration with various other diagnostic techniques were used for the study. The result reveals that oil production contributed to economic development, but the consumption and export of crude oil did not contribute to the improvement of the Nigerian economy. The study concluded that the government should implement policies that would encourage the private sector to actively participate in the crude oil sector and sectors of the economy. In addition, the government should use the revenue generated from oil to invest in other national sectors such as agriculture and manufacturing to expand the revenue stream of the economy

Price Cannibalization Effect on Long-Term Electricity Prices and Profitability of Renewables in the Baltic States

This paper aims to evaluate price cannibalization effects in forecasts of long-term electricity prices and substantiate their relevance on the profitability of renewables in the Baltic States from 2024 to 2033. Statistical data analysis, literature review, scenario method, and PLEXOS modeling were applied. Five scenarios were analyzed for developing renewable energy sources (RES) and load in Lithuania. In contrast, scenarios for Estonia and Latvia were based on assumptions derived from the countries’ national RES strategies. The results showed that the increase in RES capacities will halve electricity market prices from around 130 EUR/MWh in 2024 to 58 EUR/MWh in Latvia, 60 EUR/MWh in Estonia, and 60–77 EUR/MWh in Lithuania in 2033. In time-waving, the absolute and relative price cannibalization effects of renewables were found. In 2033, the loss of revenue from solar photovoltaic (PV) generators was estimated to be 5.5–17.0 EUR/MWh in Lithuania, 7.1 EUR/MWh in Latvia, and 5.6 EUR in Estonia. The case of onshore wind demonstrated revenue losses of 10.5–22.0 EUR/MWh in Lithuania, 12.0 EUR/MWh in Latvia, and 10.0 EUR/MWh in Estonia. After 2029, revenues received by RES electricity generators could not guarantee project profitability; therefore, market flexibility options will be required. The key innovative strategy to mitigate the price cannibalization effect is the demand-side response when leveraging demand flexibility. Typically, this is achieved by sending price signals to the consumers who, if they have any, shift their demand to lower price periods. This is easily applied within HVAC systems, smart electric vehicle charging, and smart home appliance usage. Such behavior would allow the price cannibalization effect to be decreased.

Observations from Statistical Review Editors: A Commentary

Observations from Statistical Review Editors: A Commentary

The role of social media on COVID-19 preventive behaviors worldwide, systematic review.

The likelihood of COVID-19 spreading from one individual to another is impacted by personal factors, preventive actions taken, and the quantity and length of exposure. Social media instantly shares health information with the public so medical professionals can interact with them. The review used Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist. We retrieve articles by using keywords on Pub Med, Cochrane Library, and grey literatures. The Joanna Briggs Institute (JBI) Meta-Analysis of Statistics Assessment and Review Instrument was used to check the quality of articles. The main qualitative synthesis was including comments related to the characteristics of the studied populations, the study period, and the main results obtained from the social media platforms. This study includes 32 studies conducted in 20 countries globally. Most of the studies discussed that during the pandemics different types of social medias were utilized to provide knowledge to change the attitude of the people and helps to practices COVID-19 preventive behaviors. By enabling people to seek and share knowledge, socialize, and find pleasure, social media use encourages people to adopt preventive behaviors. This review demonstrated a substantial relationship between higher levels of precautionary behaviors and factors such as educational status, knowledge, fear, and reading medical pages on social media. According to the studies, watching videos is a reliable means to get accurate information, and watching animated films posted on social media can help people learn more about COVID-19 preventive strategies. In these urgent times, social media could even help with quick information availability; misinformation or inadequate understanding can cause misunderstandings within the community. This analysis revealed that following medical pages on social media, having knowledge, feeling afraid, and having an educational background were all strongly correlated with greater levels of aware preventive behavior. Therefore, it is advised for policy makers to develop social behavioral change health communication strategies, guidelines on COVID-19 prevention behaviors. Health care providers should prepare health learning materials, and provide accurate, updated and timely information using all forms of social media to correct mis- information, misperceptions, depression, and anxiety for better control of the pandemics. Future research shall focus on evaluating effectiveness of each social media platform interventions during such emergency crisis.

Impact of HIV coinfection on tuberculosis treatment outcomes in Ethiopia: a systematic review and meta-analysis

ObjectivesDespite the implementation of a short-term direct observation treatment programme, HIV coinfection is one of the main determinants of tuberculosis (TB) treatment success. This meta-analysis was conducted to report the...

State of the Art on Forensic Bridge Engineering in Chile. A Management and Technical Overview

Chile is a country highly affected by natural hazards, especially scour and seismic phenomena. Therefore, throughout the twentieth century and the beginning of the twenty-first, total or partial collapses of bridges have been evidenced, particularly those that occurred in the 1960 and 2010 earthquakes. From these experiences, the Chilean Highway Administration has promoted a series of management activities in order to reduce the number of collapsed structures. In this context, since 2019 the Ministry of Public Works of Chile (MOP) supported by the Chilean universities started a program to develop the subject of forensic engineering on bridges, in order to include the methodology in the technical codes and provide a standardization of protocols for the implementation of activities in the case of the collapse of structures. The aspects included in this methodology are: Determination of volatile and non-volatile information; Actions for intervention on the structure and protection of users; Gathering of technical information through the application of tests; Review of stress–strain states through Finite Element Method (FEM); Elaboration of hypotheses and review of them through a decision tree; and, finally, Conclusions and recommendations from a technical and contractual perspective. This paper presents a detailed description of the current forensic engineering methodology in Chile and its first application in the Cancura Bridge case study. In addition, a historical compilation of Chilean bridge collapses is presented, in each case identifying the typology of the structure, the causes of collapse and the main inspection techniques used. Finally, a statistical review is carried out analyzing aspects such as stages of the life cycle where collapse has occurred: design, construction or operation, and the incidence of natural hazards in these phenomena. From this analysis, the cases of Loncomilla, Cancura and Huasco bridges are highlighted. Since the collapse of these bridges occurred without the implementation of current methodology, the article concludes on the advantages and disadvantages of the methodology, providing a comparative analysis with the inspection activities in these structures.

Evaluating Debio 1347 in Patients with FGFR Fusion-Positive Advanced Solid Tumors from the FUZE Multicenter, Open-Label, Phase II Basket Trial.

This multicenter phase II basket trial investigated the efficacy, safety, and pharmacokinetics of Debio 1347, an investigational, oral, highly selective, ATP-competitive, small molecule inhibitor of FGFR1-3, in patients with solid tumors harboring a functional FGFR1-3 fusion. Eligible adults had a previously treated locally advanced (unresectable) or metastatic biliary tract (cohort 1), urothelial (cohort 2), or another histologic cancer type (cohort 3). Debio 1347 was administered at 80 mg once daily, continuously, in 28-day cycles. The primary endpoint was the objective response rate. Secondary endpoints included duration of response, progression-free survival, overall survival, pharmacokinetics, and incidence of adverse events. Between March 22, 2019, and January 8, 2020, 63 patients were enrolled and treated, 30 in cohort 1, 4 in cohort 2, and 29 in cohort 3. An unplanned preliminary statistical review showed that the efficacy of Debio 1347 was lower than predicted, and the trial was terminated. In total, 3 of 58 evaluable patients had partial responses, representing an objective response rate of 5%, with a further 26 (45%) having stable disease (≥6 weeks duration). Grade ≥3 treatment-related adverse events occurred in 22 (35%) of 63 patients, with the most common being hyperphosphatemia (13%) and stomatitis (5%). Two patients (3%) discontinued treatment due to adverse events. Debio 1347 had manageable toxicity; however, the efficacy in patients with tumors harboring FGFR fusions did not support further clinical evaluation in this setting. Our transcriptomic-based analysis characterized in detail the incidence and nature of FGFR fusions across solid tumors. See related commentary by Hage Chehade et al., p. 4549.

The Economic Role of Technology in International Trade: Theory and Practice in the Trade War

Scientific purpose. The aim of the article is to analyze the impact of technological changes and restrictions on the freedom of technology transfer in the contemporary world economy on international trade in the context of the trade conflict between the United States and China. Research process and methods. Interrelationships between the role of technological changes and trade, the issue of monopoly rent resulting from the technological advantage of some countries, were examined on the basis of the theory of international trade (Ricardian model, Heckscher-Ohlin) and subsequent theories, in particular the approach of Posner, Krugman, Melitz. To analyze the problem of technology transfer limitations in the modern world economy, mainly due to China's trade practices, a quantitative and qualitative method was used as well as a review of statistics of international trade in high-tech goods. Foreign direct investment in China was conditioned by the transfer of knowledge and advanced technologies from the United States. Scientific analysis results. Technological changes and the spread of technology as a result of the intensification of international trade are associated with a specific impact on the benefits and losses for the state with a technological advantage as a result of the phenomenon of "learning by doing". To examine the economic effects of the growing importance of technology in international trade, the theoretical and empirical approach to analyzing the demand in selected countries, including the United States, European Union countries, Japan and China, for the level of employment and wages of highly qualified labor force was used. Conclusions, innovations, recommendations. Further research should cover issues related to the influence of states on supporting the development of advanced technologies, which is associated with specific dilemmas regarding the shaping of international trade flows and the impact on the level of wages in the economy.

The effect of birth-weight and instrumental delivery on neonatal birth trauma in Ethiopia: systematic review and meta-analysis

Birth trauma is one of the most common causes of neonatal mortality in a resource-limited country. However, there is no national evidence on the magnitude and associated factors of neonatal birth trauma in Ethiopia. Therefore, this study aimed to estimate pooled prevalence of neonatal birth trauma and its association with birth-weight and instrumental delivery in the Ethiopian context. PubMed, Scopus, CINAHIL, Cochrane library and Google Scholar were used to search significant articles. Suitable search terms were developed and used to retrieve studies from databases. Searching was limited to cohort, cross-sectional, and case-control studies conducted in Ethiopia and published in English language. Critical appraisal was conducted by using Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI). Heterogeneity across the included studies was evaluated by using the inconsistency index (I2) test. STATA™ version 11 software was used to conduct the meta-analysis. A total of 7 studies with 4063 study participants were included in this systematic review and meta-analysis. The overall pooled prevalence of neonatal birth trauma in Ethiopia was 13.4% (95% CI; (10.86, 15.95). instrumental delivery and ABO large birth weight were significantly associated with the prevalence of neonatal birth trauma. The national pooled prevalence of neonatal birth trauma was found to be high in Ethiopia. Instrumental delivery and large birth-weight were significantly associated with neonatal birth trauma in Ethiopia. Thus, it is better to give strong obstetric care during the use instrumental delivery.

Дмитрий Алексеевич Милютин – один из основателей российской военной статистики

The article is dedicated to a prominent military figure, a scientist, a future reformer of the armed forces of the Russian Empire, who laid the theoretical foundations of a new military science – military statistics. This science contained a variety of information about states, their territories, population, political structure, industrial potential and armed forces. According to the author of the fundamental two-volume work “First Attempts at Military Statistics” only a systemic and critical analysis of state armed forces could constitute the aim and subject of military statistics, its instruction in the Imperial Military Academy as only then Russian military higher educational establishment found in the first half of the 19th century. The work “First Attempts at Military Statistics” became one of the main research works at the Imperial Military Academy, a theoretical basis for the methodology of military statistical research. D. A. Miliutin made a significant contribution to the fourth edition of the seventeen-volume “Military Statistical Review of the Russian Empire” and “Yearbook of the Russian Army”, which had a significant impact on the formation of Russian military statistics and on the formation of Russian geostrategy.

Clustering of Communicable Diseases in Indonesia and the Factors that Affect Them: 2018 Basic Health Research Data Statistical Review

The prevalence of communicable diseases in Indonesia is still high and causes morbidity and mortality in several Indonesian provinces. This cross-sectional study classified provinces based on the prevalence of seven communicable diseases: acute respiratory infections (ARI), pneumonia, diarrhea, filariasis, malaria, hepatitis, and tuberculosis (TB). The study analyzed the 2018 Indonesian Basic Health Research data. It is essential to categorize these diseases to identify regions with low, moderate, and high prevalence and the factors that affect them to facilitate the treatment of these diseases. Grouping provinces and influenced factors were analyzed using K-means, ANOVA, and stepwise regression. The results revealed that Group 1 shows a high prevalence, except for hepatitis and diarrhea. Group 2 demonstrates a moderate prevalence, excluding hepatitis and diarrhea, while Group 3 has a low prevalence. Improved access to primary healthcare services reduced the prevalence of pneumonia and TB, while using insecticide-treated mosquito nets for less than three years increased the prevalence of ARI and pneumonia. Adequate bedroom lighting reduced the prevalence of ARI, whereas being underweight in individuals over 18 increased it. In individuals aged 16–18 with short stature, there was an increase in the prevalence of hepatitis and malaria. Regularly draining the bathtub once a week and ensuring proper bedroom ventilation reduced the incidence of diarrhea. Using improved long-lasting insecticidal nets (LLINs) for mosquitos led to a decrease in filariasis cases. Specific factors influence each communicable disease and necessitate a multisectoral approach for effective treatment.

Heavy Metal Intake by Fishes of Different River Locations in Bangladesh: A Comparative Statistical Review

Bangladesh a nation with a high population density, gets all of the protein it needs from river fishes. The observation is very alarming that heavy metals polluted the major river water by the growing garment washing, dyeing and textile, fertilizer, cement, tannery, metal, electrochemical and pharmaceutical industries were the main culprits that don’t have proper effective effluent treatment plants (ETP). High-value heavy metals in industrial area river fish as chromium (Cr) 164.73 mg/kg in Heteropneustes fossilis (stinging catfish) at Buriganga River, Hazaribagh, zinc (Zn) 309.47 mg/kg in Mastacembelus armatus (Bain) fish at Bangshi river, Savar, copper (Cu) 26.33 mg/kg in Mastacembelus armatus (Bain) at Bangshi river, Savar, arsenic (As) 5.64 mg/kg in Heteropneustes fossilis (stinging catfish) at Bangshi river, Savar, lead (Pb) 18.16 mg/kg in Channa punctatus (Taki) at Buriganga river, Hazaribagh and cadmium (Cd) 2.03 mg/kg in Heteropneustes fossilis (stinging catfish) at Buriganga river, Hazaribagh were observed. The two rivers are identified as most contaminated by heavy metals one is the Bangshi River, Savar, Gazipur and another one Buriganga River, Hazaribagh. The main reason for the contamination of these two rivers was uncontrolled industrialization around Dhaka and in Hazaribagh, a huge number of tanneries have grown that use a huge quantity of Cr creating a threat to the ecosystem and even a serious health risk for humans. Heavy metals that fish consume are contaminating river water ecosystems. This contamination spreads to human bodies and is the cause of many serious ailments.