Shifts In Patterns Research Articles

Differential protection against SARS-CoV-2 reinfection pre- and post-Omicron

Abstract The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has rapidly evolved over short timescales, leading to the emergence of more transmissible variants such as Alpha and Delta1–3. The arrival of the Omicron variant marked a major shift, introducing numerous extra mutations in the spike gene compared with earlier variants1,2. These evolutionary changes have raised concerns regarding their potential impact on immune evasion, disease severity and the effectiveness of vaccines and treatments1,3. In this epidemiological study, we identified two distinct patterns in the protective effect of natural infection against reinfection in the Omicron versus pre-Omicron eras. Before Omicron, natural infection provided strong and durable protection against reinfection, with minimal waning over time. However, during the Omicron era, protection was robust only for those recently infected, declining rapidly over time and diminishing within a year. These results demonstrate that SARS-CoV-2 immune protection is shaped by a dynamic interaction between host immunity and viral evolution, leading to contrasting reinfection patterns before and after Omicron’s first wave. This shift in patterns suggests a change in evolutionary pressures, with intrinsic transmissibility driving adaptation pre-Omicron and immune escape becoming dominant post-Omicron, underscoring the need for periodic vaccine updates to sustain immunity.

Cultural diversity shaped neolithic subsistence in the Carpathian Basin

Stable carbon and nitrogen isotope analysis from archaeological human and animal bone collagen is a powerful tool to enlighten past socio-agricultural systems and their close links to environmental conditions. To assess whether isotopic patterns are a function of cultural behavior or rather determined by environmental diversity, we test the spatio-temporal effects of conditional and multivariate exploratory and environmental models on stable isotope variability in the Neolithic and Chalcolithic Carpathian Basin (6000–2800 BCE). Our results stress that variation in environmental settings influence both the isotope baselines and the subsistence strategies of early agricultural societies. Major shifts in isotopic patterns are, however, culturally-driven, which is particularly visible with the development and intensification of adapted agropastoral practices from 5500 − 5350 BCE and among the diet between different cultural groups. We conclude that socio-cultural diversity was the main driver of dietary habits and isotopic variability in early agropastoral societies of Neolithic Hungary.

Insights into climate variability of the meteorological records from a background monitoring station: the Giordan lighthouse, Gozo

Background The Maltese islands are subject to significant climate variability, with implications for ecosystems and human activities. This study leverages a 26-year dataset from the Giordan Lighthouse Background Monitoring Station (GL) on the island of Gozo to analyse short-term climate variability and its alignment with broader regional trends. Methods Hourly meteorological data collected from 1997 to 2022, including wind speed, wind direction, air temperature, relative humidity, and air pressure, were analysed. The study examined diurnal and annual cycles, probability distribution functions, and climate indices to characterise local climate dynamics. Comparisons were made to existing findings based on the Malta International Airport dataset to validate results. Results The analysis revealed pronounced seasonal variability in all parameters. Rising air temperatures were detected, consistent with regional warming trends. Humidity and wind conditions showed seasonal shifts aligning with observations from other regional monitoring stations. The high-resolution dataset also captured fine-scale temporal patterns, reinforcing the critical value of localised, long-term meteorological monitoring for understanding climatic shifts. Conclusions This study underscores the value of long-term meteorological datasets in detecting climate variability and trends, including a clear warming pattern and seasonal shifts in temperature, humidity, and wind conditions. Continuous monitoring and improved data reliability are essential for enhancing climate assessments and supporting effective adaptation strategies in the Maltese Islands.

Annual incidence of colorectal cancer among patients with average risk in the United States between 2017 and 2023.

83 Background: Colorectal cancer (CRC) is the second most common cause of cancer-related mortality and third most common cancer in the United States. In 2021, 141,902 new cases of CRC were reported. With recent increases in early onset of CRC incidence, a shift in patterns amongst various demographics has been observed. Together with an estimated 60% increase in burden of CRC globally, it is important to continuously assess the nationwide incidence rates and monitor the changing patterns. In this study, we examined the annual incidence rates of CRC in average risk adults using a large national claims database and report patterns of incidence based on various demographic characteristics. Methods: CRC diagnoses were retrospectively identified from a large national claims database, which covers over 165 million lives and is representative of the U.S. population, for each calendar year during the study period from 2017 to 2023. Individuals aged 45 to 75 years, with an average risk of CRC before each index calendar year were included in the study. Individuals were required to be continuously enrolled in the same health plan for at least 1 year prior to and 1 year following the index year. Annual CRC incidence rates per 100,000 people were calculated for each year from 2017 to 2023 within various subgroups based on baseline demographics. Results: Overall, annual CRC incidences remained consistent during the study period with 186.86 (95% CI, 184.87-188.86) cases in 2017 and 183.40 (95% CI, 181.32-185.5) cases in 2023 per 100,000. Among younger adults aged 45-49 years, the annual CRC incidence increased by 66% from 2017 (92.04 cases/100,000) to 2023 (153.12 cases/100,000). Conversely, annual CRC incidence decreased by 25% between 2017 (328.52 cases/100,000) and 2023 (244.93/100,000) in older adults aged 65-75 years. Over the study period, CRC incidence in men was higher than women with an overall rate ratio (RR) of 1.206 (95% CI, 1.122-1.297). African American adults had higher CRC incidence than White Americans with an overall rate ratio (RR) of 1.216 (95% CI, 1.152-1.283). Conclusions: Based on this large study of national claims data, CRC incidence rates remained relatively stable in the total population among average-risk patients from 2017 to 2023. The continuing increase in recommended CRC screening utilization showed a decreased incidence rate in the older population, while observing increased incidences among younger patients.

Antithrombotic therapy following transcatheter aortic valve implantation: a Danish nationwide study.

Antithrombotic therapy post-transcatheter aortic valve implantation (TAVI) has been widely debated in the past two decades. Data describing practice patterns of antithrombotic therapy are warranted. This study examined the trends in use of antithrombotic therapy post-TAVI in Denmark. Danish patients with aortic stenosis who underwent first-time TAVI from 2008 to 2021 were identified from Danish registries. Patients were categorized according to atrial fibrillation (AF) status and antithrombotic therapy post-TAVI based on prescription fillings. The antithrombotic therapy groups: No antithrombotic therapy, single antiplatelet therapy (SAPT), dual antiplatelet therapy (DAPT), oral anticoagulant therapy (OAC), and oral anticoagulant therapy with antiplatelet therapy (OAC+). Use of antithrombotic therapy among survivors at 15 months was examined to assess persistence and possible changes in treatment. This study included 6447 patients undergoing TAVI. Among patients without AF (n=3975), most patients received SAPT or DAPT. In AF-patients (n=2472), most patients received OAC or OAC+. During the first 14 years of TAVI, there was a shift in the antithrombotic treatment pattern: For patients without AF, SAPT increased from 15.6% to 69.5% with a concomitant decrease in DAPT from 56.3% to 9.1%. For AF-patients OAC increased from 13.0% to 77.9% and OAC+decreased to 9.1%. Most patients without AF either remained with or shifted to SAPT. AF-patients either remained in or shifted to the OAC group. Antithrombotic therapy patterns post-TAVI has changed over the first 14 years of TAVI in Denmark. Use of DAPT and OAC+decreased with a concomitant increase in SAPT and OAC.

Venom variation and ontogenetic changes in the Crotalus molossus complex: Insights into composition, activities, and antivenom neutralization.

The Crotalus molossus complex consists of five to seven phylogenetically related lineages of black-tailed rattlesnakes widely distributed in Mexico. While previous studies have noted venom variation within specific lineages of the Crotalus molossus complex, a comprehensive characterization of interspecific and ontogenetic venom variations, their functional implications, and the neutralizing ability of the Mexican antivenom against these variants remains largely unexamined. Herein, using two proteomic approaches for five lineages (C. basiliscus, C. m. molossus, C. m. nigrescens, C. m. oaxacus, and C. ornatus) of the C. molossus complex we characterized the number of toxins and their relative abundance in the venom of individuals of varying sizes. All five lineages undergo ontogenetic venom composition shifts associated with snake length. However, the pattern of ontogenetic shifts varied among lineages. In some lineages, these shifts led to significant differences in proteolytic, phospholipase A2, and fibrinogenolytic activities. Venom in smaller C. basiliscus, C. m. nigrescens, and C. m. oaxacus individuals had lower LD50 values (more lethal) in mice. Whereas the venom lethality of C. m. nigrescens (both juvenile and adult) and C. m. oaxacus (adult) was several times higher in a mammalian (mouse) model than in a reptilian (iguana) model. Antivipmyn® showed different neutralizing potencies toward venom pools. Overall, our results indicated that even among closely related rattlesnake lineages, venom phenotypes may vary greatly, impacting their function and the efficacy of antivenom neutralization.

A Framework for Fourth Industrial Revolution Adoption by Small-Scale Rural Farmers in Sub-Saharan Africa: A Systematic Literature Review

Climate change is witnessed in unpredictable weather conditions that negatively affect human lives, economies, and farming worldwide. This results in severe heat waves and a shift in rainfall patterns. This is a major global threat to agriculture and food security, especially for rural farmers. Small-scale rural-based farmers contribute immensely to local communities’ socio-economic well-being and food security. However, most of the small-scale rural farmers are constrained, especially regarding resources. There is a need for the agricultural industry in rural areas to adopt the fourth industrial revolution (4IR) technologies to predict and make well-informed decisions on how to manage existing, often constrained resources efficiently. Government support, in various forms, is equally needed. Furthermore, adopting 4IR by small-scale rural farmers will assist countries in the Sub-Saharan African region in achieving the United Nations Sustainable Development Goal Number 2 on ‘Zero Hunger’ by achieving food security and promoting smart, sustainable agriculture. However, there is a deficiency in the literature on 4IR adoption frameworks to guide small-scale rural farmers in adopting 4IR tools to manage their resources and promote sustainable agriculture. This study aims to develop a 4IR adoption framework that could guide small-scale rural farmers in adopting 4IR tools for managing their resources and promoting smart agriculture. A systematic literature review approach is employed to identify critical components significant for adopting 4IR in rural farming. Rural farmers may use this framework as a guiding lens when adopting 4IR tools. This study broadens the scope of the scant literature on the best practices for adopting 4IR for smart small-scale rural farming in Sub-Saharan Africa and other developing nations with similar setups. The smart-scale rural farming is mainstreamed within the smart village concept and the greenfield orgreen economy resilient to harsh climate change conditions.

Craniofacial modularity and the evolution of cranial kinesis in the adaptive radiation of Furnariidae (Aves: Passeriformes).

The role of phenotypic modularity in the evolution of skull morphology in birds has been a subject of debate in recent years. Furnariids (ovenbirds and woodcreepers), a spectacular avian adaptive radiation, are distinguished in their cranial morphology as the only passerines with two types of cranial kinesis, constituting a great model to test whether the evolution of novelties linked to kinesis was associated with shifts in patterns of evolutionary modularity and allometry in the avian skull. Our analyses by means of geometric morphometric tools and phylogenetic comparative methods show that the beak and neurocranium of furnariids evolved in a modular fashion and shaped by the cranial kinesis evolution. Besides, species with prokinesis show a higher degree of modularity and morphological disparity, lower phenotypic rates, as well as higher contribution of allometry in the evolution of the beak morphology than species with proximal rhynchokinesis, suggesting, as observed in several vertebrates, that the functional demands associated with higher degrees of cranial kinesis promoted rapid integration throughout the skull. Prokinetic - robust morphotypes and proximal rhynchokinetic - gracile morphotypes, have repeatedly evolved by evolutionary convergence in both modules, which suggests the existence of functional trade-offs and long-standing adaptive optima related to cranial kinesis.

Exploring the lived experiences of diagnostic radiographers after transitioning to non-emergency imaging settings.

The demand for diagnostic imaging in emergency clinical settings has increased in recent years, placing pressure on the available workforce. However, challenges including staff shortages and inflexible shift patterns may prompt radiographers to leave emergency settings. This study explores the lived experiences of radiographers who have transitioned to non-emergency settings and factors that might influence their decision to return. A descriptive phenomenological approach was used. Semi-structured interviews were conducted with 12 diagnostic radiographers working in the UK, who had transitioned to non-emergency settings within the last one to five years. Participants provided insight into (1) the past: reasons for transitioning, (2) the present: current thoughts on wellbeing and professional development, and (3) the future: possibility of returning to the emergency setting. Occupational pressures including excessive workloads, physical exhaustion, and time constraints leading to moral distress, were commonly cited reasons for transitioning to non-emergency setting. Since transitioning, participants reported improvement in their physical and mental well-being, renewed job satisfaction, and enhanced work-life balance. Career advancement opportunities, a better work environment, competitive salaries, and improved mental health support, could encourage a return to the emergency setting. This study highlights the valuable learning experiences that emergency settings offer diagnostic radiographers, greatly enhancing their skills and overall competence. However, challenging work conditions can lead to job dissatisfaction and burn out. Instead of leaving the profession altogether, some radiographers found renewed satisfaction by transitioning to non-emergency settings. The majority of participants would consider returning to emergency imaging under the right conditions. Flexibility regarding work arrangements, career advancement opportunities, competitive salary offers, and improved mental health support through interventions such as debriefing, could help retain radiographers in emergency settings.

Antioxidant Activity and Anti-tyrosinase Activity of Nelumbo nucifera Gaertn. Flower Extract Encapsulated in Layered Double Hydroxide

Dermatological problem is mainly caused by reactive oxygen species (ROS) and excessive tyrosinase level in human body. It becomes interesting in the field of biological research which has been attempted to develop new materials from plant extracts to solve this problem. The concern is how those components in the plant extract can be used, protected, and released efficiently during application processes. In this study, we aimed to create a layered double hydroxide (LDH) encapsulating white lotus (Nelumbo nucifera Gaertn.) flower extract (WLE-LDH), investigate the antioxidant and anti-tyrosinase effects of Nelumbo nucifera Gaertn. flower extract encapsulated in the layered double hydroxide (WLE-LDH), and assess the release properties of the nanohybrid. DPPH assay and anti-tyrosinase enzyme assay were performed on methanol extract of N. nucifera and WLE-LDH. The white lotus methanolic extract demonstrated antioxidant activity with an EC50 of 0.17 mg mL-1 and uncompetitive inhibition of tyrosinase with an IC50 of 0.43 mg mL-1. The reconstruction method was used to encapsulate the white lotus flower extract into Mg-Al LDH without isolating the phytochemicals. The successful intercalation of the crude flower extract into the layered structure was confirmed by an increase in the interlayer spacing as indicated by shift in the powder X-ray diffraction pattern. Fourier transform infrared spectroscopy data and SEM image also showed that an encapsulated nanohybrid had been successfully formed. Further, the data of exposure to ultraviolet–visible light suggested that the crude extract of N. nucifera Gaertn. flower was stabilized within the LDH bilayer, protecting its bioactivities. The resulting nanohybrid with bioactive phytoconstituents showed antioxidant activity with an EC50 of 0.58 mg mL-1 and anti-tyrosinase activity with an IC50 of 0.63 mg mL-1. Furthermore, the WLE-LDH sample demonstrated slow and controlled release characteristics with antioxidant activity for up to 3½ h and anti-tyrosinase activity for up to 2½ h. Our findings suggest a promising strategy of its potential applications in the cosmetic and pharmaceutical industries.

In vitro dynamics of rumen microbiota and fermentation profiles with Antler growth of Sika deer.

The rumen microbiota plays a vital role in the nutrient metabolism affecting the growth of velvet antler. However, the fermentation patterns and dynamics of the rumen microbiota across growth stages of velvet antler remain largely unexplored. Here, we employed an in vitro fermentation approach to assess fermentation parameters and microbial composition in the rumen liquid of sika deer during the early growth (EG), metaphase growth (MG), and fast growth (FG) phases . Our findings indicated that the levels of short-chain fatty acids (SCFAs), ammonia nitrogen, and gas production increased over fermentation time in all three groups. The concentrations of total SCFAs, ammonia nitrogen, and gas production, along with the proportions of butyrate, isobutyrate, and isovalerate, were markedly higher in the MG and FG groups compared with the EG group. Principal coordinate analysis highlighted significant variations in microbial communities among the EG, MG, and FG groups during the fermentation process. The abundances of Stomatobaculum and Blautia across the three groups increased over fermentation time, whereas Bacteroides, Lawsonibacter, Sporobacter, Papillibacter, Butyricicoccus, and Succiniclasticum exhibited higher abundances in MG or FG groups than in the EG group after 24 hours of fermentation. Co-occurrence network analysis uncovered positive correlations between butyrate levels and butyrate-producing bacteria (Stomatobaculum, Butyrivibrio) in the MG and FG groups. Additionally, there were positive correlations between proteolytic bacteria (Clostridium and Roseburia) and branched-chain volatile fatty acids in the FG group. These findings shed light on the fermentation patterns and microbial dynamics within the rumen of sika deer during different growth periods of velvet antler.IMPORTANCEVelvet antlers are distinctive and rapidly growing organs that hold significant value in traditional medicine. Through in vitro analysis, our study characterized the dynamics of microbiota and metabolites within the rumen liquid fermentation of sika deer throughout the different antler growth phase. We identified distinct microbial communities at various fermentation time points and observed shifts in fermentation patterns that paralleled antler development. These findings suggest a potentially pivotal role for these microbial dynamics in facilitating the growth process of velvet antlers.

Climate Change and Human Mobility: Considering Context, Mechanisms, and Selectivity

AbstractClimate change is projected to increase human mobility. Research links climate stressors, such as warming temperatures, severe weather events, and rising sea levels, to human migration within and between countries in many regions of the world. This paper reviews this new frontier for migration research and charts directions for future work. Understanding climate mobility, we argue, requires considering local context to identify mechanisms (what climate impacts) and selectivity (who responds). Research needs to draw more on existing theory to deduce selectivity patterns under alternative drivers of mobility and to extend the theory by considering how those patterns shift under climate shocks. Research also needs to generalize from diverse findings by documenting which mechanisms and selectivity patterns are most common in which contexts.

Disentangling effects of the COVID-19 pandemic and Black Lives Matter protests on implicit anti-Black bias.

Terror Management Theory (TMT) holds that mortal threats bolster people's desire to support their worldviews, which may contribute to increased outgroup bias. In 2020, two events likely increased mortality salience and death anxiety: COVID-19 and the Black Lives Matter (BLM) protests that followed George Floyd's murder. We used Project Implicit data to investigate their impact on implicit anti-Black bias, controlling for demographic variables. Study 1 (N=82,639) found a decrease in anti-Black bias from April 1-May 20, 2020 compared to the same period in 2019, indicating that increased mortality salience amid the pandemic failed to increase anti-Black bias. Study 2 (N=96,957) examined anti-Black bias and death anxiety across two seven-week periods prior to (April 1-May 20, 2020) and during the BLM protests (May 27-July 15, 2020). Death anxiety increased during the protests, while anti-Black bias decreased. Conservatives showed no link between death anxiety and anti-Black bias, yet showed a decrease in bias once the protests began. Liberals showed the TMT-predicted relation between death anxiety and increased bias, however this relation weakened during the protests. Notably, these attitude changes in the context of a mass social movement differ from predominant conservative shift and worldview defense patterns in prior work on attitude change amid social crisis. Collectively, our results failed to link mortality salience with outgroup bias but suggest a role for other factors including social movements, intergroup empathy, and social solidarity in reducing bias.

Niche shift and localized competitive dynamics influence the persistence and distribution of polyploids in the genus Achillea (Asteraceae).

Competition with sympatric diploid progenitor(s) hinders the persistence of polyploids. The hypothesis that polyploids escape from competition through niche shifts has been widely tested; however, niche escape is unlikely to completely avoid competition. Given species growing in less favorable environments likely have weaker competitive abilities, we hypothesize that polyploid populations tend to persist in areas where their progenitors with relatively low habitat suitability. This study investigated two sibling allopolyploid species, Achillea alpina and A. wilsoniana of the daisy family, which originated independently from the same two parental species. We explored the patterns of niche shifts between the polyploids and their progenitors by using several ecoinformatics analyses in the environmental and geographic spaces, and performed ecological niche modeling to estimate the historical distribution of these species as well as the potential regions for persistence of allopolyploids. The niche shift patterns of the two polyploids were not completely consistent: A. alpina showed niche expansion, while A. wilsoniana exhibited a trend towards niche novelty. Their potential suitable areas were both more likely to overlap with regions where the habitat suitability values of their parental species became low. The present results support our hypothesis that polyploids tend to persist their populations in areas that are less suitable for their diploid progenitors. Meanwhile, niche shifts may promote the success of polyploids. These findings contribute to our understanding of the ecological processes involved in the maintenance and persistence of polyploids.

Predictors of shifts in Internet use and frequency among older adults in Japan before and in later stages of COVID-19: A longitudinal panel study

The study identifies the predictors of four patterns of shift in Internet use and frequency among older adults from the pre-COVID-19 to later stages of the pandemic. Our data included 4699 participants from a nation-wide panel study, the Japan Gerontological Evaluation Study from 2019 to 2022. The findings demonstrated that 322 of 1884 (17.1%) nonusers initiated Internet use in 2019, while 418 of 2815 (14.8%) users discontinued Internet use in 2019. Older age, low education, and low population density predicted less initiation, greater discontinuation, less increase, and more decrease in Internet use. Participation in social activities predicted more initiation, lower discontinuation, and decrease in Internet use. Social support was associated with initiation, discontinuation, and increase in Internet use; the associations varied by the source of support. Digital divide among older adults was exacerbated by socioeconomic disparities. Engagement in social activities and targeted social support may help bridge this divide.

From pink collar to lab coat: cultural persistence and diffusion of socialist gender norms

We study vertical transmission and societal diffusion of gender norms using the large immigration wave from the former Soviet Union (FSU) to Israel in the early 1990’s. Tracking the educational choices of an entire cohort, born in 1988–89, we compare gender gaps among immigrants from the FSU versus natives and immigrants from other countries. We find smaller gender gaps among FSU immigrants in both traditionally male-dominated STEM fields and female-dominated pink collar jobs, e.g., education and social work. These patterns are largely driven by the behavior of FSU women and are not explained by early achievement levels or comparative advantage. Leveraging variation in the concentration of FSU immigrants across middle schools, we find that among natives, gender gaps narrow with the exposure to FSU immigrants, reflecting a shift in the choice patterns of native women towards STEM and away from pink collar fields.

Ensemble modeling of the climate-energy nexus for renewable energy generation across multiple US states

Abstract The effects of climate change on renewable energy generation are of growing concern, as shifts in weather patterns and extreme events can significantly impact energy production. This study aims to leverage machine learning models to predict renewable energy generation based on the surrounding climate. We analyze data from four key states: California, New York, Florida, and Georgia, and focus on three critical renewable energy sources: hydroelectric, solar, and wind power. To determine the optimal model, we test six primary machine learning techniques, as well as an ensemble and a mean-only baseline. The results indicate that the ensemble approach improves the predictive accuracy of the model. Using this ensemble, we projected the changes to climate-sensitive portion of the renewable energy generation under climate change. Our results indicated that there was a wide variation of possible futures, depending on the state, source, and season. For example, the model projected a reduction in California's monthly total renewable energy generation in the summer by 0.5%, or about 30,000 MWh, under SSP5-8.5, the worst-case scenario, but an increase of 0.5%, or about 25,000 MWh, in New York's monthly total summer renewable energy generation under the same scenario.The modeling techniques detailed in this study can be applied across new regions, sources, or time periods. Ultimately, by understanding the influence of climate on renewable energy generation, we can improve the long-term planning process for the electricity grid, while building resilience and ensuring sustainable climate change mitigation and adaptation.

OP14 The United European Gastroenterology green paper—climate change and gastroenterology

Abstract Background The 2024 Lancet Countdown highlights the urgent need for aligned structural and sustained changes to avoid the most severe global health impacts. According to the latest Emissions Gap Report from 2024 by the UN Environment Programme, the continuation of current policies would lead to 3.1°C of global warming. Climate change exacerbates extreme weather, food insecurity, and disease prevalence, thereby affecting human health, medical practice, and healthcare stability. Physicians increasingly encounter these effects in daily patient care, with alterations in the gut microbiome, air pollution, heatwaves, and shifts in infectious disease patterns affecting gastrointestinal and hepatic health. Methods The United European Gastroenterology (UEG) conducted a comprehensive literature review to assess the climate change associated health hazards and outcomes in gastroenterology as well as the environmental impact of gastroenterology practices. Additionally, the review aimed to identify research gaps and barriers to the implementation of eco-friendly practices in gastroenterology. Results Climate change and healthcare exist in a bidirectional feedback loop: healthcare: emissions, waste and resource consumption from the healthcare sector amplify climate change, which subsequently increases the incidence of GI and liver diseases, heat-related illnesses, zoonoses, vector-borne diseases, and malnutrition. The healthcare sector contributes to 4.4% of global carbon emissions, with gastroenterology procedures, particularly endoscopy as the third highest generator with 3.09 kg of waste per day per bed. The "5 Rs of Greener Gastroenterology" framework—reduce, reuse, recycle, rethink, and research—offer a pathway towards reducing the environmental footprint of gastroenterology. These include minimizing unnecessary procedures, advocating for the Planetary Health Diet, and integrating eco-friendly practices such as telemedicine, digitalization, and sustainability-focused education and research. Promoting roles such as "eco-gastroenterologists," "eco-endoscopists", “eco-intensivist” and "eco-surgeons" is essential to advancing sustainable healthcare on both personal and institutional levels. Conclusion The United European Gastroenterology Green Paper aims to raise awareness and outline key principles that the GI workforce can adopt to tackle the climate crisis together. To facilitate adoption and transformation into clinical practice, UEG has developed a toolkit for stakeholders to promote such concepts and provide possible solutions at any structural level. This is a call to joint action between national und specialist gastroenterology societies.

Technology Transformation, Implementation of Accrual Accounting, and Compliance with PPh Article 23 at Pt. Media Pressindo: An Ethnomethodological Study

This study uses a qualitative ethnomethodology approach to explore the technological transformation, accrual-based accounting implementation, and compliance with article 23 Income Tax at PT Media Pressindo. The research employs observation, direct fieldwork, and in-depth interviews to understand employees' social, cultural, and behavioral dynamics in adapting to accrual-based technology systems. The study is grounded in theories of post-implementation changes in accrual accounting, the accountant’s role as a standard setter, consultant, business catalyst, and organizational locomotive. The findings indicate that employees’ interactions with accounting technology are more habit-driven than efficiency-oriented, with minimal understanding of accrual concepts at the operational level. A lack of innovation-driven work culture further challenges the transformation. Shifts in work patterns require cultural adjustments and targeted management support, including enhanced tax literacy to ensure compliance with Article 23 Income Tax. This study introduces a new theory, Subjective Value-Based Accounting Transformation Theory, which highlights that the success of accounting technology implementation depends not only on technical systems but also on technical systems and subjective values reflecting social interactions, trust, and organizational culture. These findings underscore the importance of improving efficiency, fostering innovation, and strengthening tax literacy as part of accounting technology transformation strategies.

The Effect of Free Weight Resistance Training on Cognitive Function Explored Through Eye Tracking: A Randomized Double-Blind Clinical Trial.

In this study, we investigated the impact of a 10-week free weight resistance training (RT) program on cognitive function in healthy young adults. In this randomized controlled trial, 18 participants were assigned to either an experimental or control group. We assessed cognitive function by using eye-tracking (ET) technology during text processing tasks. First-pass reading times (FPRTs) and total reading times (TRTs) were measured. Results revealed a significant three-way interaction between group, moment, and syntactic complexity in FPRTs, demonstrating training effects on cognitive processing. The experimental group showed a distinctive shift in processing patterns: from longer times in low complexity pre-intervention to increased times in high complexity post-intervention, particularly in early processing measures (FPRTs). Complementary analyses of strength improvements showed that increased strength was associated with enhanced attention allocation to complex structures and improved processing efficiency for simpler texts, suggesting RT's potential to modulate cognitive function.