Shifts In Trends Research Articles

Generation of abnormal distributions of inter- and intramolecular δ13C compositions in hydrocarbons from gold tube pyrolysis of an Australian torbanite

Abnormal stable carbon isotopic (δ13C) compositions, deviating from the conventional order of δ13C1 < δ13C2 < δ13C3, are frequently observed in natural gas reservoirs. For thermogenic gas, these anomalies, such as δ13C1 < δ13C3 < δ13C2 or δ13C1 > δ13C2 > δ13C3, have multiple formation mechanisms including gas mixing in conventional systems and desorption processes of gaseous hydrocarbons in unconventional shale gas systems due to their inconsistency with Rayleigh fractionation processes. Considering distinct reaction pathways (e.g., C1 polymerized to C2), these aberrant δ13C signatures are often construed as intrinsic hallmarks of extensively evolved natural gas. However, on the basis of gas generation simulation, not all findings exhibit abnormal δ13C values, hinting at multifaceted and intricate mechanisms governing the isotopic fractionation of alkane gas components. This study conducted gold tube pyrolysis of an Australian torbanite, revealing four distinct types of δ13C anomalies in hydrocarbon classes. Polycyclic aromatic hydrocarbons (PAHs) exhibited δ13C values more negative than co-occurring n-alkanes. δ13C3 displayed a negative trend shift from EasyRo = 3.5 %, resulting in a partially δ13C-reversed gas (δ13C1 < δ13C3 < δ13C2) formed at EasyRo ≈ 4.1 %. Moreover, intramolecular δ13C3 (both terminal and central carbons, termed δ13Ca and δ13Cb, respectively) reversed alongside the overall δ13C3 trend. Additionally, the evolution of site preference in δ13C3 (termed ‰SP = δ13Ca – δ13Cb) transitioned from progressively negative to positive. The results of this study demonstrate that the potential conversion between saturated hydrocarbons, aromatic hydrocarbons, and alkane gases is at least partially responsible for δ13C anomalies, but also that gaseous hydrocarbons formed from other fractions at high maturity cannot be ruled out, such as kerogen and pyrobitumen.

Curved strain-induced modulation of potential difference optimizes electron-mediated persulfate activation for pollutant removal

In the electron-mediated persulfate activation reaction, oxidation efficiency and interference resistance present a challenging contradiction. Addressing this issue requires an exploration of methods to regulate the redox potential of reactants and finding a delicate balance between high efficiency and immunity to interference. However, achieving precise potential regulation remains a significant challenge. By loading CoPc onto CNTs with varying diameters, composite structures with distinct levels of curvature in the reaction sites were engineered. The progressively increasing curved strain created a volcano-like redox potential in the catalyst, resulting in a corresponding pollutants removal effect. Investigation of the electronic structure revealed that this trend shift was attributed to the broadening of π band, impacting its electron transfer proclivity and elevating the redox potential. Additionally, the augmented overlap area of the π orbitals of CNT and Co expedited electron transfer between them, escalating the reaction rate. The system demonstrates the capability to finely adjust the redox potential of catalyst-PS* while exhibiting robust resistance to interference from other substances, indicating the prospective utility of CNT-based catalysts in continuous water treatment devices to alleviate ecological risks linked to pollutants.

Live-Birth Incidence of Isolated D-Transposition of Great Arteries-The Shift in Trends Due to Early Diagnosis.

This is a single tertiary population-based study conducted at a center in southwest Romania. We retrospectively compared data obtained in two periods: January 2008-December 2013 and January 2018-December 2023. The global incidence of the transposition of great arteries in terminated cases, in addition to those resulting in live-born pregnancies, remained almost constant. The live-birth incidence decreased. The median gestational age at diagnosis decreased from 29.3 gestational weeks (mean 25.4) to 13.4 weeks (mean 17.2). The second trimester and the overall detection rate in the prenatal period did not significantly change, but the increase was statistically significant in the first trimester. The proportion of terminated pregnancies in fetuses diagnosed with the transposition of great arteries significantly increased (14.28% to 75%, p = 0.019).

Impact of the COVID-19 pandemic on Haemophilus influenzae infections in pediatric patients hospitalized with community acquired pneumonia

The COVID-19 pandemic has altered the infection landscape for many pathogens. This retrospective study aimed to compare Haemophilus influenzae (H. influenzae) infections in pediatric CAP patients hospitalized before (2018–2019) and during (2020–2022) the COVID-19 pandemic. We analyzed the clinical epidemiology and antimicrobial resistance (AMR) patterns of H. influenzae from a tertiary hospital in southwest China. A total of 986 pediatric CAP patients with H. influenzae-associated infections were included. Compared to 2018, the positivity rate increased in 2019 but dropped significantly in 2020. Although it rose in the following 2 years, the rate in 2022 remained significantly lower than in 2019. Patients’ age during the pandemic was significantly higher than in 2018 and 2019, while gender composition remained similar across both periods. Notably, there were significant changes in co-infections with several respiratory pathogens during the pandemic. Resistance rates of H. influenzae isolates to antibiotics varied, with the highest resistance observed for ampicillin (85.9%) and the lowest for cefotaxime (0.0%). Resistance profiles to various antibiotics underwent dramatic changes during the COVID-19 pandemic. Resistance to amoxicillin-clavulanate, cefaclor, cefuroxime, trimethoprim-sulfamethoxazole, and the proportion of multi-drug resistant (MDR) isolates significantly decreased. Additionally, MDR isolates, alongside isolates resistant to specific drugs, were notably prevalent in ampicillin-resistant and β-lactamase-positive isolates. The number of pediatric CAP patients, H. influenzae infections, and isolates resistant to certain antibiotics exhibited seasonal patterns, peaking in the winter of 2018 and 2019. During the COVID-19 pandemic, sharp decreases were observed in February 2020, and there was no resurgence in December 2022. These findings indicate that the COVID-19 pandemic has significantly altered the infection spectrum of H. influenzae in pediatric CAP patients, as evidenced by shifts in positivity rate, demographic characteristics, respiratory co-infections, AMR patterns, and seasonal trends.

Development of a New Lunar Regolith Simulant using an Automated Program Framework

Nowadays, the trend in lunar exploration missions is shifting from prospecting lunar surface to utilizing in-situ resources and establishing sustainable bridgehead. In the past, experiments were mainly focused on rover maneuvers and equipment operations. But the current shift in trend requires more complex experiments that includes preparations for resource extraction, space construction and even space agriculture. To achieve that, the experiment requires a sophisticated simulation of the lunar environment, but we are not yet prepared for this. Particularly, in the case of lunar regolith simulants, precise physical and chemical composition with a rapid development speed rate that allows different terrains to be simulated is required. However, existing lunar regolith simulants, designed for 20th-century exploration paradigms, are not sufficient to meet the requirements of modern space exploration. In order to prepare for the latest trends in space exploration, it is necessary to innovate the methodology for producing simulants. In this study, the basic framework for lunar regolith simulant development was established to realize this goal. The framework not only has a sample database and a database of potential simulation target compositions, but also has a built-in function to automatically calculate the optimal material mixing ratio through the particle swarm optimization algorithm to reproduce the target simulation, enabling fast and accurate simulant development. Using this framework, we anticipate a more agile response to the evolving needs toward simulants for space exploration.

Circulation patterns of East-Central European films on European SVoD catalogues

Combining statistical, quantitative analysis with qualitative examination of film titles, the article explores the presence and circulation patterns of films from five East-Central European (ECE) countries (Czechia, Hungary, Poland, Romania and Slovakia) in European SVoD catalogues. The scene’s continuous change and adaptation pose challenges for analysis due to its fluidity. While examining streaming libraries, it becomes apparent that distinguishing between commissioned and licensed content, a fundamental consideration in such analyses, may hold greater relevance for larger markets compared to smaller, peripheral ones like those in the ECE region. Moreover, while exclusive content is valued among leading streaming providers, there is limited competition for exclusive streaming rights to ECE films. Additionally, classic films from the region’s cinematic history are readily accessible online, often free of charge, offering opportunities for viewers to explore Romanian or Polish cinema without subscription requirements. However, access to classics from other ECE countries may be more limited. Market shares based solely on film quantity require contextual analysis, as they are influenced by niche platforms specializing in specific regions or genres. Notably, recent years have seen shifts in local film cultures and trends in theatrical and VoD distribution, with distinct characteristics observed in different ECE countries. While certain trends, such as the rise of successful genre films like comedies and crime thrillers, are evident, the visibility and distribution of ECE films on European VoD platforms remain influenced by various factors, including festival success, auteur directors and genre preferences. Furthermore, the inclusion of globally popular genres and actors recognized beyond the region can enhance a film’s market reach. The study suggests that peripheralization is not unique to the ECE region, with similar dynamics potentially affecting other European small and peripheral film markets. Ultimately, analysing SVoD presence represents only one aspect of a multifaceted ecosystem, highlighting the complexity of the streaming landscape.

Global Trends in Electric Vehicle Battery Efficiency and Impact on Sustainable Grid

Over the past decade, transportation electrification has emerged as a pivotal focus of the article. Electric vehicles (EVs) have progressively gained traction in the market, displacing conventional internal combustion engine vehicles. This surge in EV popularity has led to a corresponding increase in the number of charging stations, thereby significantly influencing the power grid (PG). Various charging strategies and grid integration approaches are being devised to mitigate the potential negative impacts of EV charging while optimizing the advantages of integrating EVs with the grid. This paper provides a comprehensive overview of the current state of the EV market, standards, charging infrastructure, and the PG’s response to the impact of EV charging. The article provides a comprehensive assessment of how forthcoming advancements in EV technology, including connected vehicles, autonomous driving, and shared mobility, will intricately influence the integration of EVs with the PG. Ultimately, the article concludes by meticulously analyzing and summarizing both the challenges and recommendations pertinent to the prospective expansion of EV charging infrastructure and grid integration. The proliferation of venture capital investments in nascent start-up ventures specializing in EV and battery technologies has experienced a pronounced surge, reaching an impressive sum of nearly USD 2.1 billion in 2022. This notable increase represents a substantial uptick of 30% compared to the figures recorded in 2021. Furthermore, these investments have been directed towards two key areas: advancements in battery technology and the acquisition of critical minerals. This discernible shift in investment trends underscores the growing recognition of the strategic importance and potential profitability associated with innovations in EV and battery technologies. In 2022, global expenditures on EVs surpassed USD 425 billion, marking a substantial 50% increase compared to the previous year, 2021. Remarkably, a mere 10% of these expenditures can be attributed to governmental support, with the bulk stemming from consumer investments.

Uncovering sea level patterns in Caspian Sea altimetry data

ABSTRACT This study introduces a technique to uncover concealed patterns in satellite altimetry data, reflecting sea level variations in inland water bodies. We applied the methodology to the Caspian Sea, using altimetry data from four satellite missions over 27 years (1993–2020): TOPEX/Poseidon, Jason1, Jason2, and Jason3. The approach involves two steps: estimating sea level trends and identifying breakpoints that indicate trend shifts; and leveraging time lags between breakpoints at various locations to classify water drainage areas according to their degree of influence on each period. By revealing concealed patterns in the altimetry data, this technique can provide insights to understand the impacts of global warming and local climate changes on sea level fluctuations in the Caspian Sea. We hope that our study can facilitate subsequent interdisciplinary research on the intricate interplay between climate change and hydrological processes in inland water bodies.

Assessing the evolution of research topics in a biological field using plant science as an example.

Scientific advances due to conceptual or technological innovations can be revealed by examining how research topics have evolved. But such topical evolution is difficult to uncover and quantify because of the large body of literature and the need for expert knowledge in a wide range of areas in a field. Using plant biology as an example, we used machine learning and language models to classify plant science citations into topics representing interconnected, evolving subfields. The changes in prevalence of topical records over the last 50 years reflect shifts in major research trends and recent radiation of new topics, as well as turnover of model species and vastly different plant science research trajectories among countries. Our approaches readily summarize the topical diversity and evolution of a scientific field with hundreds of thousands of relevant papers, and they can be applied broadly to other fields.

Contemporary Insights into Hepatitis C Virus: A Comprehensive Review.

Hepatitis C virus (HCV) remains a significant global health challenge. Approximately 50 million people were living with chronic hepatitis C based on the World Health Organization as of 2024, contributing extensively to global morbidity and mortality. The advent and approval of several direct-acting antiviral (DAA) regimens significantly improved HCV treatment, offering potentially high rates of cure for chronic hepatitis C. However, the promising aim of eventual HCV eradication remains challenging. Key challenges include the variability in DAA access across different regions, slightly variable response rates to DAAs across diverse patient populations and HCV genotypes/subtypes, and the emergence of resistance-associated substitutions (RASs), potentially conferring resistance to DAAs. Therefore, periodic reassessment of current HCV knowledge is needed. An up-to-date review on HCV is also necessitated based on the observed shifts in HCV epidemiological trends, continuous development and approval of therapeutic strategies, and changes in public health policies. Thus, the current comprehensive review aimed to integrate the latest knowledge on the epidemiology, pathophysiology, diagnostic approaches, treatment options and preventive strategies for HCV, with a particular focus on the current challenges associated with RASs and ongoing efforts in vaccine development. This review sought to provide healthcare professionals, researchers, and policymakers with the necessary insights to address the HCV burden more effectively. We aimed to highlight the progress made in managing and preventing HCV infection and to highlight the persistent barriers challenging the prevention of HCV infection. The overarching goal was to align with global health objectives towards reducing the burden of chronic hepatitis, aiming for its eventual elimination as a public health threat by 2030.

Unveiling sex-based geographical disparities in myelodysplastic syndrome mortality trends in Spain (1999-2022).

To comprehensively analyze trends in myelodysplastic neoplasm (MDS) mortality across Spain (1999-2022), examining sex and regional differences. We analyzed nationwide death records and population data, calculating age-standardized mortality rates (ASMRs) and standardized mortality ratios (SMRs) stratified by sex and Autonomous Community (AC). Joinpoint regression identified significant shifts in trends. Across Spain, MDS mortality risk varied among men, with rates ranging from 1.08 to 4.38 per 100,000 across regions, while women's rates ranged from 1.23 to 2.02. Five regions had higher risks than the national average, while six had lower risks. Joinpoint analysis revealed three periods nationally: a decline until 2008, and an increase until 2017, followed by a significant decrease. Despite the overall stable national trend (-0.5% annual change), significant regional variations emerged. Andalusia stood out with a worrying increase in MDS mortality, while Aragon and Murcia demonstrated promising declines. Extremadura displayed a unique trajectory with an initial rise followed by stabilization, while Galicia exhibited a contrasting trend with an initial decline and subsequent increase. Notably, men consistently faced a higher risk of MDS mortality compared to women, with significant disparities across regions. Extremadura, in particular, showed a marked difference in risk between genders. MDS mortality trends in Spain are complex, and influenced by gender, region, and time. Further research is needed to understand regional disparities, recent national decline, and higher risk in specific demographics. Tailored interventions based on local factors and targeted research are crucial to address these complexities and improve patient outcomes.

Examining climate trends and patterns and their implications for agricultural productivity in Bagamoyo District, Tanzania

Climate variability impacts various global challenges, including food security, biodiversity loss, water scarcity, and human well-being. However, climate patterns and trends and community perceptions at spatially-explicit levels have been minimally addressed. The spatial and temporal trends of climate conditions in Bagamoyo District in Tanzania were examined using historical (1983–2010) and projected (2022–2050) meteorological and climate model data, respectively. Community knowledge and experiences of past climate occurrences were included. The implications of projected climate change for regional agricultural production and food security were assessed. The study drew on empirical data obtained from household surveys conducted in seven villages in the district. Effectively, 309 households were randomly sampled across the villages to provide the perception of climate change and associated impacts on agriculture and livelihoods. Both qualitative and quantitative statistical techniques were employed to analyse the incidence, frequency, and intensity of regional extreme climate events. The meteorological and climate modelling data were subjected to trend analysis using the Mann–Kendall and Sen’s slope estimator tests, and the present and projected spatial and temporal trends of climatic variables in the region were analysed. The household-based questionnaire results were combined with climate modelling and the literature to determine the implications of climate change for regional agricultural production and food security. The results revealed that local knowledge and climate model data strongly concur on regional climate changes. Furthermore, the region is highly likely to experience increased warming and decreased precipitation at varying magnitudes. The shifts in climate trends and patterns are anticipated to greatly impact agricultural production, affecting livelihoods and hampering food security efforts. Recommendations include adopting context-specific measures and tailored strategies for enhancing resilience throughout the entire region.

Geohazard features of the Aeolian Island slopes and the North-Eastern Sicily offshore

ABSTRACT The MaGIC project (Marine Geohazard along the Italian Coasts) had the aim of mapping the geohazard in the Italian seas and resulted in the production of numerous maps covering parts of the Italian Seas. In this paper, we present the maps: ‘The submerged portions of the Aeolian volcanic islands and the north-eastern Sicilian margin’, located in the south-eastern Tyrrhenian Sea. Both areas are affected by active geological processes, which represent important geohazards elements. Inthe submarine parts of the Stromboli volcanoremobilization of volcaniclastic deposits occur along the Sciara del Fuoco, where small-scale instabilities may represent a source of geohazard. Hydrothermal activity occurs on Enarete and Enaretino conical seamounts. The north-eastern Sicilian margin has a narrow continental shelf. Numerous canyon heads indent the shelf and, sometimes, reach close to the coast. Canyons have often a retrogradational trend and further eventual landward shift through sliding can iendangeri coastal or offshore infrastructures. Many of the canyons connect with leveed channels with widespread sediment instability. In the Gioia Basin, some of the channels connect to form the Stromboli slope Valley. Volcanic unrest or local and regional earthquakes are proven to have caused submarine landslides and tsunamis.

Robformer: A robust decomposition transformer for long-term time series forecasting

Transformer-based forecasting methods have been widely applied to forecast long-term multivariate time series, which achieves significant improvements on extending the forecasting time. However, their performance can degenerate terribly when abrupt trend shift and seasonal fluctuation arise in long-term time series. Hence, we identify two bottlenecks of previous Transformers architecture: (1) the robustless decomposition module and (2) trend shifting problem. These result in a different distribution between the trend prediction and ground truth in the long-term multivariate series forecasting. Towards these bottlenecks, we design Robformer as a novel decomposition-based Transformer, which consists of three new inner module to enhance the predictability of Transformers. Concretely, we renew the decomposition module and add a seasonal component adjustment module to tackle the unstationarized series. Further, we propose a novel inner trend forecasting architecture inspired by polynomial fitting method, which outperforms previous design in accuracy and robustness. Our empirical studies show that Robformer can achieve 17% and 10% relative improvements than state-of-the-art Autoformer and FEDformer baselines under the fair long-term multivariate setting on six benchmarks, covering five mainstream time series forecasting applications: energy, economics, traffic, weather, and disease. The code will be released upon publication.

Advancing the agave‐soil nexus approach: A systematic review

AbstractAgave plants, found primarily in arid and semi‐arid regions, have been utilized by indigenous communities for various purposes for thousands of years. They currently serve as crops to produce alcoholic beverages and fibers. Despite their importance, there is limited understanding of the relationship between agave and soil. This article addresses some of the knowledge gaps regarding the interactions and benefits of the agave‐soil approach. Among all the documents reviewed, 153 discussed individual soil parameters (45 physical, 68 chemical, and 40 biological), 59 explored interactions between them, and 130 did not address soil aspects (i.e., soil was merely presented as a substrate for the growth and development of plants and was not examined in the study's findings). Moreover, the historical evolution of the research highlights two distinct periods (from 1985 to 2000 and between 2010 to 2023) of notable publication activity, with recent years witnessing a surge in studies involving soil management techniques, genetic improvement of agave species, bioremediation, and the use of residues for bioenergy, biofuel, and soil amendments. There is a notable increasing trend in diverse research areas interested in these interactions, reflecting a broader recognition of the importance of understanding soil functioning in agave cultivation. Indeed, from 2010 to 2023, the use of the keyword ‘soil’ increased by 96% in studies of agave cultivation. This shift in research trends suggests that scientific advances in agave cultivation and soil science can be expected, contributing to sustainable agriculture and the long‐term viability of agave‐based industries. This article underscores an opportunity for further research to optimize agave cultivation and processing (e.g., soil management and productivity), for different purposes while conserving soil health and promoting sustainable land‐use practices.

Knowledge mapping and research trends of exosomes in pancreatic cancer: a bibliometric analysis and review (2013-2023).

This review aims to provide a quantitative and qualitative bibliometric analysis of literature from 2013 to 2023 on the role of exosomes in PC, with the goal of identifying current trends and predicting future hotspots. We retrieved relevant publications concerning exosomes in PC, published between 2013 and 2023, from the Web of Science Core Collection. Bibliometric analyses were conducted using VOSviewer(1.6.19), CiteSpace(6.2.R4), and Microsoft Excel (2019). A total of 624 papers were analyzed, authored by 4017 researchers from 55 countries/regions and 855 institutions, published in 258 academic journals. China (n=285, 34.42%) and the United States (n=183, 24.87%) were the most frequent contributors and collaborated closely. However, publications from China had a relatively low average number of citations (41.45 times per paper). The output of Shanghai Jiao Tong University ranked first, with 28 papers (accounting for 4.5% of the total publications). Cancers (n=31, 4.9%); published the most papers in this field. Researcher Margot Zoeller published the most papers (n=12) on this topic. Research hotspots mainly focused on the mechanisms of exosomes in PC onset and progression, the role of exosomes in PC early diagnosis and prognosis, exosomes promote the development of PC chemoresistance, and potential applications of exosomes as drug carriers for PC therapies. We observed a shift in research trends, from mechanistic studies toward clinical trials, suggesting that clinical applications will be the focus of future attention. Emerging topics were pancreatic stellate cells, diagnostic biomarkers, mesenchymal stem cells, extracellular vesicles. Our scientometric and visual analysis provides a comprehensive overview of the literature on the role of exosomes in PC published during 2013-2023. This review identifies the frontiers and future directions in this area over the past decade, and is expected to provide a useful reference for researchers in this field.

Shifts in trends and correlation of water scarcity and productivity over China

Increasing water productivity has been viewed as an important strategy for reducing regional water scarcity in many countries, including China. However, some studies argue that improving water productivity may lead to a rebound effect that reversely aggravates water scarcity. This contradictory relationship is because that previous empirical assessments mostly focus on limited time spans, which raises a theoretical hypothesis that their correlation would presumably shift over long-term period under different development stages. Thus, this study performed a comprehensive analysis over China based on multiple survey-based datasets and revealed the shifts in water scarcity and productivity in terms of their trends and correlation during 1979–2020. Results showed significant turning points of water scarcity from upward to downward trends across China in the early 21st century, except in southwestern China where water scarcity continuously intensified. Water productivity showed a widespread accelerating trend because of large increase in nonagricultural water productivity. Furthermore, the correlation between water scarcity and productivity was positive in the early stage of China’s development pathway when both of them were low but simultaneously increasing for more profit. Then, their positive correlation shifted to negative in response to the necessity for water scarcity alleviation, and increasing water productivity would be effective to reduce water scarcity with the complement of water-related policies that prevent its rebound effect. The results broadened our knowledge on the long-term evolution of regional water scarcity, and highlighted the changing relationship between water scarcity and productivity that was essential for guiding water policy making.

Statistical Analysis and Scenario Modeling of Non-Stationary Runoff Change in the Loess Plateau: A Novel Application of the Generalized Additive Model in Location, Scale and Shape

The hydrological series in the Loess Plateau region has exhibited shifts in trend, mean, and/or variance as the environmental conditions have changed, indicating a departure from the assumption of stationarity. As the variations accumulate, the compound effects caused by the driving variables on runoff variations grow complex and interactive, posing a substantial risk to water security and the promotion of high-quality development in regions or river basins. This study focuses on the Tuwei River Basin in the Loess Plateau, which experiences significant changes in vegetation coverage and minimal human disturbance, and examines the cross-driving relationship between the runoff change and its driving variables (including hydrometeorological and environmental variables). A quantitative statistical analysis method based on the GAMLSS is then developed to estimate the interacting effects of changes in the driving variables and their contribution to runoff changes. Finally, various anticipated scenarios are used to simulate the changes in driving variables and runoff disturbances. The findings indicate the following: (1) The developed GU, LO, and NO distribution-based GAMLSSs provide a notable advantage in effectively capturing the variations in groundwater storage variables, actual evapotranspiration, and underlying surface parameters, as well as accurately estimating the impacts of other relevant variables. (2) The precipitation and groundwater storage variables showed predominantly positive contributions to the runoff change, but actual evapotranspiration had an adverse effect. The changes in underlying surface parameters, particularly since 2000, increase actual evapotranspiration, while decreasing groundwater storage, resulting in a progressive decrease in runoff as their contribution grows. (3) The scenario simulation results reveal that alterations to the underlying surface have a substantial influence on the evolution of runoff in the Tuwei River Basin. Additionally, there are cross-effects between the impact of various driving variables on runoff, potentially compounding the complexity of inconsistent changes in runoff sequences.

Emerging Online Trends of Fashion Brands Buying: A Post-Pandemic Analysis

The COVID-19 pandemic emerged as a stronger predictor of transforming the world into a virtual world of social media and online communities. The year 2020 was seen as extraordinary amidst the pandemic, witnessing online trends in advertising, services, and buying. To understand this shift in online trends, this research used the adaptive structure framework, which suggests how technology helps users in decision-making. This study analyzed the audience’s buying behavior and the construction of social relationships in early &amp; post-pandemic times, employing a longitudinal survey design. From November 2020 to July 2023, 3 surveys were conducted among Pakistani audiences, with a sample size of 200 each time. Results suggest that, after the pandemic, audiences explore the social media content of fashion products before actually buying them. Additionally, the online presence of fashion products, the adoption of technological applications in the fashion industry, and the role of social media as a tech assistant simultaneously affect the buying habits and social relationships of users.

Abridgement of Microbial Esterases and Their Eminent Industrial Endeavors.

Esterases are hydrolases that contribute to the hydrolysis of ester bonds into both water-soluble acyl esters and emulsified glycerol-esters containing short-chain acyl groups. They have garnered significant attention from biotechnologists and organic chemists due to their immense commercial value. Esterases, with their diverse and significant properties, have become highly sought after for various industrial applications. Synthesized ubiquitously by a wide range of living organisms, including animals, plants, and microorganisms, these enzymes have found microbial esterases to be the preferred choice in industrial settings. The cost-effective production of microbial esterases ensures higher yields, unaffected by seasonal variations. Their applications span diverse sectors, such as food manufacturing, leather tanneries, paper and pulp production, textiles, detergents, cosmetics, pharmaceuticals, biodiesel synthesis, bioremediation, and waste treatment. As the global trend shifts toward eco-friendly and sustainable practices, industrial processes are evolving with reduced waste generation, lower energy consumption, and the utilization of biocatalysts derived from renewable and unconventional raw materials. This review explores the background, structural characteristics, thermostability, and multifaceted roles of bacterial esterases in crucial industries, aiming to optimize and analyze their properties for continued successful utilization in diverse industrial processes. Additionally, recent advancements in esterase research are overviewed, showcasing novel techniques, innovations, and promising areas for further exploration.