Biggest Increase Research Articles

Design and Application of Augmented Reality in Science Education to Develop Students' Critical Thinking Skills

The goal of this project is to create instructional materials based on augmented reality (AR) that will enhance students’ critical thinking abilities. There were 25 pupils enrolled in the public junior high school where the study was done. The ADDIE approach is being used in this development research study. The resulting product is AR-based media equipped with learning devices consisting of a Learning Implementation Plan, Student Worksheets, test instruments. Data collection was carried out using validation sheets, learning implementation sheets, student activity sheets, critical thinking tests and student response questionnaires. The percentage of each score attained was calculated in order to analyse the data. The findings indicated that the student worksheet’s validity scored 85.3 in the very valid category, the learning implementation plan’s validity scored 87.3 in the same area, and the learning outcome test’s average validity score was 90 very valid. With an average of 93.6%, learning implementation indicated very good outcomes; student activities in learning showed very good results with an average of 94.3%; and 88% of student responses fell into the very good category. The critical thinking test’s findings indicated that the critical thinking indicators of interpretation, analysis, and explanation had the biggest increases, and the conclusion indicator saw the lowest. The study’s conclusion is that teachers can use the augmented reality-based learning tool to teach the Life Organization System’s content since it is valid, practical, and effective.

Characterization of Research Support of Genome Editing Technologies and Transition to Clinical Trials.

Genome editing technologies have become widely used research tools. To assess the rate of growth with respect to federal funding of gene editing projects, we analyzed publicly available data retrieved from the NIH RePORTER and Clinicaltrials.gov databases. We identified 6,111 awards between 1977 and 2023, the majority being extramural, investigator-driven R (noneducational) awards (66.7%). There was an average growth rate of 40% between 2008 and 2022, and the biggest increase in awards was observed between 2017 and 2018 (doubling from 140 to 280). Five administering institutes/centers accounted for more than 60% of awards with the highest number of awards from the National Cancer Institute (20.0%). The majority of clinical trials involving some type of genome editing (75%) started in or after 2020. This analysis illuminates the rapid and widespread growth of gene editing research across disciplines and the eventual launch of clinical trials using gene editing tools.

“Incivility makes me angrier than uncivil disagreement”: a survey experiment using news comments

ABSTRACT News comments are a great space for citizen interaction, albeit they lack the rationale that would account for an online deliberative space. Through an experiment embedded into a population-based survey, this study seeks to explain how different levels of both incivility and disagreement affect readers on two key variables: negative emotions and user participation. Results show that the exposure to both incivility alone and uncivil disagreement increases negative emotions by the reader, such as anxiety and anger. However, contrary to what literature suggested, incivility by itself was the group with the biggest increase on negative emotions. In terms of online participation (e.g. putting an extra like in a comment), results showed no evidence to indicate a relationship between incivility, disagreement, and online participation. These results support previous findings suggesting that the exposure to online political incivility has mainly negative consequences.

PENGGUNAAN CHATGPT PADA PROSES PEMBELAJARAN PADA MATA KULIAH PEMASARAN DIGITAL UNTUK MENINGKATKAN KEMANDIRIAN MAHASISWA DI STMA TRISAKTI

New technologies, like ChatGPT, are changing the way we learn in school. Some people really like it, but others don't like it as much. Many people are talking about how ChatGPT affects education. The purpose of this study is to examine how the use of ChatGPT in the learning process can increase student independence at STMA Trisakti. This is really important because students are one of the people who use ChatGPT. The type of research used is descriptive-quantitative. The sample used is the pre-test and post-test results of all STMA Trisakti students in digital marketing courses, totaling 34 respondents. The data analysis techniques used in the study were a validity test, a reliability test, a prerequisite test, and a hypothesis test (a paired sample test) to see which one had the biggest increase. The results showed that there was a significant difference between the pre-test and post-test scores on whether the use of Chat GPT in the learning process can increase student independence at STMA Trisakti. These results can be used to conclude that the knowledge score in the learning process increases student independence at Stma Trisakti.

Navigating Strategic Balance: CEO Big Data Orientation, Environmental Investment, and Technological Innovation in Chinese Manufacturing

In the digital age, China’s economic development is transitioning from high speed to high quality. Through the application of digital technology, China’s manufacturing industry is moving toward more environmentally friendly and sustainable innovation, which makes it of great significance to study the effect of green investment and big data on innovation. Grounded in strategic management theory, this paper examines the interplay between CEO big data orientation, environmental investment, and their joint impact on technological innovation in manufacturing enterprises. Data are extracted from annual reports of listed Chinese manufacturing companies using computer-assisted text analysis methods and evaluated with negative binomial regression. The results indicate an inverted U-shaped relationship between CEO big data orientation and technological innovation. The results further explain that as CEO big data orientation increases, enterprises with higher levels of green investment will reach the peak of technological innovation performance earlier. According to China’s intelligent manufacturing in 2035, we have proposed some methods and suggestions for green investment and big data applications.

The Impact of Human Cystic Echinococcosis in the Central Asian Region, 1990-2019.

This research aims to update knowledge on the regional and national sickness burden attributable to cystic echinococcosis (CE) from 1990 to 2019, as well as epidemiology and disease control, with a particular emphasis on the People's Central Asian Regions. We calculated the morbidity, mortality, and disability-adjusted life years at the global, regional, and national levels for CE in all central Asian countries from 1990 to 2019, and we analyzed the association between GDP per capita and the disease burden of CE. In 2019, the three greatest numbers of CE cases were recorded in Kazakhstan [23986; 95% uncertainty interval (UI); 19796; 28908]; Uzbekistan (41079; 18351; 76048); and Tajikistan (10887; 4891; 20170) among all 9 countries. The three countries with the greatest ASIR of CE were estimated to be Kazakhstan (127.56; 95% UI: 105.34-153.8), Uzbekistan (123.53; 95% UI: 58.65-219.16), and Tajikistan (121.88; 58.57-213.93). Kyrgyzstan, Tajikistan, and Uzbekistan had the biggest increases (125%, 97%, and 83%, respectively) in the number of incident cases of CE, whereas Georgia, Kazakhstan, and Armenia saw the largest decreases (45%, 8%, and 3%, respectively). To reduce the illness burden caused by CE, our findings may help public health professionals and policymakers design cost-benefit initiatives. To lessen the impact of CE on society, it is suggested that more money be given to the region's most endemic nations. Echinococcosis, cystic, negative health effects, life-years lost due to disability, rate of occurrence as a function of age, rate of death as a function of age.

A broad battle: public opinion and the 1945–1946 General Motors strike

ABSTRACT This article explores the 1945–1946 strike at General Motors, a massive dispute involving 320,000 workers. The 113-day walkout was the longest of the 1945–1946 strike wave, which saw over three million U.S. workers mobilize. A key feature of the strike – and one particularly overlooked – is public reaction. The strike secured widespread press coverage, and much of the United Automobile Workers’ (UAW) strategy revolved around appealing for public support. Drawing on under-utilized strike records, this article argues that reaction to the dispute highlights why labour would be on the defensive in succeeding decades. While many citizens were supportive, seeing this as an emblematic dispute, opponents were vociferous. In a rich body of letters, they outlined key arguments that were used later to justify attacks on unions – that their demands were selfish and excessive, that they caused strikes and violence, that they hurt business competitiveness, and that their leaders were ‘union bosses’ and ‘racketeers’.’ Opponents particularly opposed UAW calls for GM to ‘open its books’ to prove they could not afford big wage increases. Overall, the strike set the stage for post-war labour relations, where unions made economic gains but were unable to impinge on executives’ ‘right to manage’.

The Impact of General Elections on Stock Market Volatility in Indonesia (2004–2023)

Elections are events that play an important role in the economic aspects of a country. Elections create uncertainty and potentially affect investor sentiment, causing fluctuations in Indonesian stock prices. A few months before the election, stock prices in Indonesia showed a significant increase in the Indonesia Composite Stock Price Index (IHSG). This occurs due to an increase in purchasing power for campaign needs and an increase in the government budget. The ARCH/GARCH model is a relevant analysis instrument in looking at market volatility. This study forecasts the close value of IHSG in the election year 2024 and analyzes the effect of elections on stock price volatility in Indonesia. This research resulted in the best model is GARCH (1,1) with RMSE 604.74, MAE 484.27, and MAPE 13.37. The forecasting results from November 23, 2023 - February 29, 2023 tend to increase, the average increase is 0.097%, the biggest increase from the end of November to the beginning of the first week of December 2023 by 0.229%. The relationship between IHSG value and political month is positive. The regression equation shows the IHSG value in months containing political events is 743,53 greater than in non-political months.

Boundary-spanning search and breakthrough innovation: the moderating role of big data analytics capability

PurposeThe rapid advancement of digital transformation requires a shift in firms’ focus from past met needs to both latent future and unmet past needs. However, how boundary-spanning search with future orientation and past orientation affects breakthrough innovation remains unclear. This study thus aims to investigate the relationship between boundary-spanning search and breakthrough innovation from the perspective of search orientation.Design/methodology/approachIn terms of search orientation, this study divides boundary-spanning search into forward-looking search and backward-looking search. Drawing on resource-based view, this study develops a theoretical model in which big data analytics capability moderates the effects of forward-looking and backward-looking searches on breakthrough innovation. Empirical analyses were conducted on data from China’s advanced manufacturing firms. Research model and hypotheses were tested through multiple regression.FindingsThe results confirm that forward-looking search has a positive effect on breakthrough innovation, and big data analytics capability strengthens this positive effect. Furthermore, backward-looking search has an inverted U-shaped effect on breakthrough innovation. Interestingly, as big data analytics capability increases, this inverted U-shaped curve flattens and becomes almost linear.Originality/valueThis study uncovers the different effects of boundary-spanning search with different orientations on breakthrough innovation and extends the research on the relationship between boundary-spanning search and breakthrough innovation by incorporating search orientation. Furthermore, by demonstrating the moderating role of big data analytics capability, this study provides a crucial condition under which boundary-spanning search can enhance breakthrough innovation.

The Effect of the COVID Pandemic on the Rate of Same-Day Discharge in Primary Hip and Knee Arthroplasty

BackgroundSame-day discharge (SDD) following primary total hip arthroplasty (THA) and total knee arthroplasty (TKA) started increasing prior to 2020. The purpose of this study was to evaluate the change in the rate of SDD after the pandemic and determine whether those changes became permanent. MethodsThe annual rate of SDD for 15,208 primary THA and TKA cases performed between January 1, 2015, and September 9, 2022, at a single institution was determined. We also examined changes in SDD patient demographics as well as differences in the 90-day complication rates of SDD and overnight patients. ResultsIn 2015, the rate of SDD for primary arthroplasty was 24%, which grew annually to 29% in 2019. Postpandemic, the rate of SDD jumped above 50% and continued up to 64% by 2022. The biggest increase was in TKA, which went from under 10% SDD prepandemic to 50% by 2022. The average age and body mass index of SDD cases prepandemic increased significantly to 62 ± 9 years and 29.4 ± 5.3 (P < .01). Overnight patients had higher rates of 90-day postoperative complications (8.4 versus 4.2%, P < .00001). ConclusionsThe pandemic caused major changes in the rate of SDD for primary THA and TKA, increasing in subsequent years. The SDD patients became older and heavier due to the expanded criteria for SDD cases. The 90-day postoperative complication rate was lower for SDD patients since higher risk patients were kept overnight. At the prepandemic rate, 29% of patients currently being sent home would have stayed overnight.

Skookum Health

This article presents findings of a collaborative, community-based project that established partnerships between researchers at Simon Fraser University and Indigenous community members and organizations in Surrey, British Columbia. In Metro Vancouver, Surrey saw the biggest increase in its Indigenous population, which grew 77 per cent between 2006 and 2016 to 13,460. This was a timely project given that community research partners were interested in focusing on health issues and that traditional health and social service models geared towards Indigenous populations tend to focus on on-reserve populations. Research objectives included: 1) to identify the health needs and priorities of Indigenous peoples in Surrey; 2) to determine what methodologies should be used when researching culture and health; and 3) to explore how existing data connected to Surrey’s Indigenous population can be accessed to better align research priorities with the health status of Indigenous peoples in Surrey. Data was gathered through two community talking circles (n=30) and one-to-one interviews with health and social service providers (n=12). Findings from the project included: the importance of culturally safe care and support in health and social service systems; the need for training and education among health and social service providers on the history and contemporary experiences of Indigenous peoples; and the importance of having access to Elder-led cultural teachings and land-based activities that support health and wellbeing of families and communities.

In Case You Haven't Heard…

Last week, the federal Centers for Disease Control and Prevention (CDC) issued state‐by‐state overdose data, and the state with the biggest increase in deaths is Oregon, which decriminalized drug possession three years ago (see Drug decriminalization measure in Oregon would not increase treatment funding, ADAW Dec. 7, 2020; https://onlinelibrary.wiley.com/doi/10.1002/adaw.32905). That measure was supported by the Drug Policy Alliance and others who have been silent on whether there is a connection. The CDC's interactive dashboard contains useful information for all states. Go to https://www.cdc.gov/nchs/nvss/vsrr/drug‐overdose‐data.htm.

Modelling the longer-term health and health inequality impacts of changes in alcohol consumption during the COVID-19 pandemic in England.

Alcohol consumption changed substantially during the COVID-19 pandemic for many people. This study quantified how these changes in drinking varied across the population and their potential longer-term impact on health and health inequalities. We analyzed data from the Alcohol Toolkit Study to estimate how alcohol consumption changed during the pandemic (April 2020-November 2021) and how these changes varied with age, sex, drinking level and socioeconomic position. We combined these estimates with a range of alternative scenarios of future alcohol consumption and used the Sheffield Alcohol Policy Model to assess the long-term health and health inequality impacts of these changes. Alcohol consumption in 2020-21 increased in heavier drinkers but fell in moderate drinkers. If alcohol consumption returns to pre-pandemic levels in 2022, we estimate a total of 42677 additional hospital admissions and 1830 deaths over 20years because of these changes. If consumption remains at 2021 levels in the long-term these figures rise to 355832 and 12849, respectively. In all scenarios, the biggest increase in harm occurs in the most deprived 20% of the population. Pandemic-era changes in alcohol consumption are likely to have a significant negative impact on public health and health inequalities, even under optimistic assumptions about future drinking.

Research on Comprehensive Evaluation Model of Supply Chain and Logistics Performance Based on Economic Management

Abstract The establishment of a scientific and comprehensive comprehensive evaluation model of logistics performance is of great significance to enhance the cost reduction and efficiency of enterprises and market competitiveness. The research constructs a supply chain and logistics performance evaluation model based on supply chain management and logistics performance and performance evaluation with the help of a balanced scorecard, hierarchical analysis method, and fuzzy comprehensive evaluation method. The supply chain and logistics performance evaluation index system is then weighed and analyzed. The experimental object for investigating the evaluation effect of the constructed supply chain and logistics performance evaluation index system is Y Logistics Company. In the proposed supply chain and logistics performance evaluation index system, the weight of internal operation and customer dimension accounts for 61.2%. Y Express Company’s logistics performance evaluation from 2016 to 2020 shows a steady increase. The increase in customer dimension from 1.54 in 2016 to 9.47 in 2020 was the biggest increase among all indicators. Finally, Company Y performs better in the customer dimension, financial dimension, and internal operation, and its indicators of learning and development and social responsibility score lower. Company Y should increase its logistics digital learning and technological innovation and take the initiative to assume social responsibility.

Investigation of the Dynamics of Salmonellosis in the Republic of North Macedonia.

The main goals of this research are to determine the developmental tendency of salmonellosis in the Republic of North Macedonia and to determine the index of dynamics and the rate of decline/increase of salmonellosis in the Republic of North Macedonia. The research covers the period from 01.01.2012 until 31.12.2022. The data used to implement this study were obtained from the Institute of Public Health of the Republic of North Macedonia. The research included 2711 subjects who were sick with salmonellosis from 2012 to 2022. The following statistical methods of work are used: linear trend, dynamic index with a constant base, dynamic index with a variable base (chain index), rate of decline, and rate of increase. The results of the study suggest that in the period 2012-2022, the highest number of patients (n=373) and the highest incidence (18/100000) of salmonellosis were registered in 2018, and the lowest in 2020 (n=119, I=5.8/100000). From the linear trend values, it can be concluded that salmonellosis in the Republic of North Macedonia shows a decreasing tendency. The biggest increase in salmonellosis in the Republic of North Macedonia was in 2015 by 71% compared to 2014. The biggest decrease in salmonellosis in the Republic of North Macedonia was in 2020 by 48% compared to 2019. From the study, it can be concluded that food operators and manufacturers are observing the procedures of the HACCP control system for food safety, leading to a possible decrease in salmonellosis.

Local autonomy around the world: the updated and extended Local Autonomy Index (LAI 2.0)

ABSTRACT This paper presents an extension and update of the Local Autonomy Index (LAI) under the name LAI 2.0. It applies the comprehensive methodology of the LAI 1.0 to 57 countries over 30 years (1990–2020), including almost all EU, CoE and OECD member states. Looking at the overall results, over thirty years, the LAI has increased around 7–8%, albeit less important in the most recent period of 2015–2020. The biggest increase is to be found in the Central and Eastern European countries. Conversely, some countries (e.g. Hungary and Belarus) have seen a decrease in local autonomy. The highest ranking countries include the Nordic countries and Switzerland, whereas South-Eastern European countries generally score the lowest. We view the LAI as a springboard to academics and policymakers for a more comprehensive and empirically based understanding of local autonomy over time.

The ten-million-year explosion: Paleocognitive reconstructions of domain-general cognitive ability (G) in extinct primates

The correlation between primate “Big G” scores and brain volume in 68 extant species was employed to estimate probable G values for an additional 68 extinct and 1 extant species with endocranial volume data, employing phylogenetic bracketing. Three different methods were used to generate bracketed estimates, which all showed high convergence. The average of these G estimates (for the extinct primates) coupled with the values from the extant species were found to correlate strongly with neurocognitive measures of both extant and extinct primate taxa, specifically Transfer Index scores (an indicator of cognitive flexibility) and the neuroanatomical covariance ratio (a measure of neural integration). Ancestral character reconstruction incorporating G values was made possible with a phylogenetic tree containing data on the relationships among extant and extinct primates. Negative correlations were found between G and branch length, indicating that higher-G species do not persist as long as lower-G ones, consistent with the presence of the grey-ceiling effect (brain mass negatively predicts maximum population growth rate, and therefore a heightened vulnerability to extinction). Cladogenesis rates were also positively associated with G. Both associations were robust to models that controlled for false positive rates. Comparative models revealed that G evolved in extinct and extant primates in a punctuated pattern. The biggest increase in G occurred after the split between the members of the tribes Hominini and Gorillini 10 million years ago. Hence at the macroevolutionary scale, there can be said to have been a “ten-million-year explosion” in primate G leading up to modern humans.

Wet bead milling by dual centrifugation – An approach to obtain reproducible and differentiable suspensions

Aqueous nano- and microsuspensions containing poorly water-soluble, crystalline drug particles have in the recent years sparked an interest for the preparation of long-acting injectables (LAIs), which increase patient compliance for patients treated for long-term or chronic conditions. Nano- and microsuspensions are often prepared by top-down methods, such as wet bead milling, with the addition of stabilizers in the dispersion media, such as surfactants, which influence the particle sizes and physical stability of the suspension. To improve the efficacy of formulation screening for nano- and microsuspensions, dual centrifugation was utilized in this study whereby 40 samples could be manufactured simultaneously to support the formulation definition. Hence, the type and concentration of stabilizer as well as bead size and milling speed was investigated throughout the presented study, but also the ability of the method to produce consistent data was investigated. The obtained results demonstrated that the particle profile obtained after milling was very consistent from run to run and so was the observed stability data, i.e., running n = 1 experiment per combination could clearly be justified as a predictable approach for the formulation screening. The data also showed that the stabilizer, as well as its concentration highly influenced the physical stability of suspensions containing both the two investigated model compounds, i.e., both cinnarizine and indomethacin, where the biggest increase in particle sizes was observed within the first week. For short-term studies, polysorbate 20 was found to be a suitable stabilizer for suspensions of cinnarizine, whereas sodium dodecyl sulphate was more suitable for indomethacin suspensions immediately after the milling even with 1% (w/v) stabilizer solution, but not sufficient for short-term stability due to an insufficient stabilizer concentration. Smaller particles sizes could be achieved by milling the suspensions with the smallest bead sizes and at the highest speed of 1500 rpm without disrupting the crystal structure of the active pharmaceutical ingredient (API), which was confirmed by X-ray Powder Diffraction.

Současný stav a perspektivy vývoje kapacit pobytových sociálních služeb pro seniory v SO ORP Kraje Vysočina

Demographic ageing brings with it many challenges for contemporary society. One of them includes an increase in the demand for social services. This article evaluates the current capacity of residential social services for seniors in the administrative districts of municipalities with extended powers (AD MEP) in the Vysočina Region and an outline of their possible future development. Based on a population projection we compiled and the current capacity of residential social services, we calculated model estimates of the capacity of these facilities in the administrative districts of the Vysočina Region. We found that in order to maintain the current availability of accommodation services, capacity needs to be increased on average by more than one-third by 2050. The highest relative increase in capacity should occur in AD MEP Velké Meziříčí and AD MEP Jihlava, because these are the districts that are expected to see the biggest increase in the number of senior citizens.

Pancreatic Exocrine Secretion and Weight Gain After Pancreas Transplantation.

Weight gain after pancreas transplant is a poorly understood phenomenon thought to be related to increased posttransplant insulin production, immunosuppressive medications, and appetite changes. No study has investigated the effect of increased exocrine secretion posttransplant. We hypothesized that exocrine function, measured by fecal elastase-1 (FE-1), was normal posttransplant and not correlated with weight gain. Our primary aim was to investigate changes in FE-1 levels with pancreas transplantation and to correlate this with weight gain. Establishing weight trends and identifying additional correlating factors were secondary aims. Forty-two patients that underwent simultaneous pancreas and kidney or pancreas after kidney transplant at a single center between 2013 and 2021 were included. Fecal elastase was measured prospectively in each patient at a single time point, with >500 µg/g categorized as high. Weight and C-peptide values were obtained. All the patients were on steroid-free immunosuppression. Nineteen patients (45%) had fecal elastase levels >500 µg/g, with a maximum of 3910 µg/g; 43% had levels greater than twice the upper limit of normal. The biggest increase in weight occurred between years 1 and 2, which continued to a median weight gain of 14% at 3 years. There was no correlation between weight gain and FE-1, pretransplant C-peptide levels, or duration of diabetes. This study demonstrated supranormal fecal elastase levels and weight gain posttransplant; however, there was no correlation. Future study with serial FE-1 before and after transplant is needed to better assess its correlation with weight gain.