Changing Trends Research Articles

Reflecting the aging behavior of polystyrene nanoplastics in the seawater through Young's modulus by atomic force microscope

Nanoplastics (NPs), with different physicochemical properties at various aging stages, have severe impacts on human health and the ecological environment. Restricted by the traditional technique, such as time-consuming, sample concentration, and the destructive of the sample, it is hard to precisely determine their aging behavior. Interestingly, we found that the nano-mechanical properties of the NPs were largely influenced by the oxidation and the cross-linking, however, their deep relationship remains lacking. Herein, this study investigates the aging behaviors of commodity plastics, microplastics and NPs in seawater via testing the changes of the physicochemical properties by combination of atomic force microscope. The results indicated that the changing behavior of Young’s modulus (YM) for NPs exhibited distinctly with a rapid to a slow growth trend, an initial slow increase followed by an acceleration for microplastics, while there was almost no significant change for commodity plastics. And it was further validated by the changing trend of hydroxyl index and degree of cross-linking of the aged plastics with different sizes, which undoubtedly showed a consistent trend with the YM changes. These findings provide a new perspective for measuring the degree of cross-linking of aged NPs.

Changes in starch properties during malting and their correlations with the malting quality of multiple barley cultivars

AbstractBackground and ObjectiveThere is still a lack of information about detailed dynamic changes in starch properties during malting among multiple barley varieties and correlations of starch properties with malting qualities. In this work, compositional, physicochemical, morphological, and structural properties of starches from four barley varieties at six time points across the malting process were first investigated to better understand the starch modification of barley malting. Furthermore, a total of 30 barley varieties were used to investigate the relationship between malting qualities and starch properties. The results provide a reference for breeding high‐malting quality barley based on starch properties.FindingsSignificant decreases in starch contents, paste viscosities, relative crystallinity, as well as the ratio of 1045/1022 cm−1 of starch, were exhibited, while comparatively small changes were found in the thermal parameters during malting. Amylose and amylopectin polymers were both hydrolyzed in malting. After malting, pits and holes were discovered on the surface of some starch granules. Four parameters of peak viscosity (PV), breakdown, peak time (PeT), and pasting temperature (PT) had significant correlations with diastatic power (DP), while the above four indicators together with amylose content, total starch content, onset temperature, peak temperature, and swelling power had significant correlations with malt extract (ME).ConclusionsThe trend of changes in starch properties among all four genotypes was similar. However, the variety with better malting quality showed a greater degree of measurements in some starch characters. Starch properties are mainly related to the two malting quality indicators of DP and ME.Significance and NoveltyPV, breakdown, PeT, and PT had significant correlations with malting qualities.

Effect of Nickel Impurities in Pyrite on Catalytic Degradation of Thiosulfate

The effects of nickel content in nickel-bearing pyrite on photocatalytic properties, light absorption properties, and oxidative decomposition of thiosulfate were studied. The leaching experiments show that the consumption of thiosulfate in the Cu2+-ethylenediamine (en)-S2O32− system increases with an increase in nickel content in nickel-bearing pyrite. The consumption of Cu(en)22+ initially increases and then decreases with an increase in leaching time. There is a clear correlation between the change trend in its consumption and the doping amount of nickel in pyrite. The XPS results show that in the Cu2+-ethylenediamine (en)-S2O32− leaching gold system (temperature 25 °C, time 35 h, solution: 0.1 mol/L S2O32−, 5 mmol/L Cu(en)22+, 200 mL solution), the nickel of pyrite-containing nickel can be transferred to the leaching solution and becomes nickel ion. In this leaching system, Cu(II), which was originally complexed with en, is reduced to Cu(I) in a short time. The consumption of Cu(en)22+ increased rapidly in the 5 h period and then decreased gradually after 5 h. The results showed that the presence of free Ni2+ in the solution facilitated the conversion of bivalent copper ions to monovalent copper ions. Free Ni2+ ions can compete with Cu2+ ions for en ligands. When ethylenediamine complexes with Ni2+, the decomposition of Cu(en)22+ into Cu(en)+ and en occurs more rapidly. And the en, which was originally to be oxidized with Cu(en)+ to form Cu(en)22+, forms Ni(en)22+. As a result, the concentration of Cu(en)22+ continues to decrease in a short period of time.

Changes in the soil and vegetation cover of the Kochubey biosphere station under global warming in recent years

Objectives: The study and long-term observations of changes in the spatial structure of vegetation cover of pasture landscapes of the Kochubey Biosphere Station (KBS) due to global climate warming. Arid pasture landscapes, due to the peculiarities of their spatial structure (the presence of semi-desert vegetation groupings) are a good indicator of modern climatic changes. To achieve this goal, the spatial structure and the current state of the arid landscapes of the Northwestern Caspian Sea in the territory of the KBS have been studied. The analysis of the biological diversity of species was carried out. Also the characteristics of the common features of seasonal dynamics of landscapes were studied. Moreover, trends of climatic changes in the landscape structure of the territory and trends in anthropogenic transformation of arid landscapes of the region were identified. It has been revealed that the main reasons for the reduction of biodiversity are habitat fragmentation, the introduction of alien species, the settlement of native species outside the range, ecotonization and “islandization” of pasture ecosystems, and the displacement of range boundaries. Since the goal of preserving the components of vegetation biodiversity is to reduce the pressures caused by climate change, adaptation measures should be aimed at reducing the rate of fragmentation and degradation of pasture landscapes. Monitoring observations have shown that over the last 20-century period there have been rhythmically repeating changes in climate and soil and vegetation cover, which indicates high mobility of vegetation. It has been established that the contribution of anthropogenic land degradation to desertification is confirmed by a significant linear trend in interannual fluctuations in indicators of pasture digression in the region. It has been established that the contribution of anthropogenic land degradation to desertification is confirmed by a significant linear trend in interannual fluctuations in indicators of pasture digression in the region. Due to excessive pasture digression, “islands” of anthropogenic desertification are formed here, the lifespan of which is determined by human influence and precipitation fluctuations.

The future of warfare. Anticipated changes in military trends

Purpose: to discuss the changes in the scientific and technical field, and examine their impact on military art. Method: comparative analysis, and synthesis. Findings: Today's military and political realities require the Armed Forces to be ready for wars that may occur at any time, including in the future, in order to ensure the country's national security. Because, as in the past, the struggle for natural resources, competition between states, aspirations for hegemony, as well as ideological differences and security concerns, which lead to military conflicts, will continue in the future. At the same time, the great progress achieved and expected in the field of technology will significantly change the traditional forms and methods of fighting. The study and skillful application of these forms and methods in the Armed Forces will be one of the main conditions for success in future wars. Scientific and technical progress affects all areas of human activity without exception, and has a noticeable effect on the development of methods and forms of war. In the future, the content and typology of military operations, strategy and tactics, forms and methods of application of armed forces will be formed under the influence of scientific and technical progress, mainly in the fields of artificial intelligence, biotechnology, and nanotechnology. For this reason, in order to study the nature of future wars, to predict the methods and forms of military operations, the article considers the causes of wars, discusses the changes in the scientific and technical field, and examines their impact on military art. Theoretical implications: The paper enhances our understanding of significant transformations due to advancements in technology, changes in geopolitical dynamics, and evolving societal expectations, against the backdrop of the extensive use of autonomous systems, including drones, unmanned vehicles, and AI-powered decision-making tools. Practical implications: The paper contibutes to the development of military strategies and operational plans, which consider how technological, social, and geopolitical changes will concretely affect the future warfare. Value: The study offers significant value in understanding and predicting the nature and character of future warfare and provides multiple lenses through which to analyze the war and devise strategies in line with emerging security threats.

Research on Adhesion Pull-Off Behavior of Rigid Flat Punch and Viscoelastic Substrate

Interfacial adhesion is one of the key factors affecting the reliability of micro–nano systems. The adhesion contact mechanism is still unclear as the time-dependent viscoelasticity of soft materials. To clarify the adhesion interaction, the pull-off detachment between the rigid flat punch and viscoelastic substrate is explored considering the viscoelasticity of soft materials and rate-dependent adhesion. Taking the Lennard-Jones (L-J) potential characterizing interfacial adhesion and the Prony series defining the viscoelasticity of materials as references, the bilinear cohesion zone model (CZM) and standard Maxwell model are employed, and an adhesion analysis framework is established by combining finite element technology. The influence laws of the loading and unloading rates, material relaxation coefficients and size effect on adhesion pull-off behavior are revealed. The results show that the pull-off force is independent of the material relaxation effect and related to the unloading rate. When v^ ≥ 50 or v^ < 0.01, the pull-off force has nothing to do with the unloading rate, but when 0.01 < v^ < 50, the pull-off force increases with the increasing unloading rate. Also, it is controlled by the size effect, and the changing trend conforms to the MD-n model proposed by Jiang. The energy required for interfacial separation (i.e., effective adhesion work) is a result of the comprehensive influence of unloading rates, material properties and the relaxation effect, which is consistent with Papangelo1’s research results. In addition, we derive the critical contact radius of the transition from the Kendall solution to the strength control solution. This work not only provides a detailed solution for the interfacial adhesion behavior but also provides guidance for the application of adhesion in Micro-Electro-Mechanical Systems (MEMSs).

Assessing climatic change impacts on mangrove structural dynamics on the northern coasts of the Persian Gulf

Abstract. Monitoring long-term trends in structural changes within mangrove ecosystems is essential for understanding their response to climate change and devising effective adaptation strategies in coastal regions. This study examines changes in mangrove patchiness within the Hara Biosphere Reserve (HBR) along the northern coasts of the Persian Gulf (PG) over a 31-year period (1986-2017), focusing on variations in rainfall patterns and drought occurrences. Employing a 35-year time series of monthly Standardized Precipitation Index (SPI) values alongside satellite imagery analysis, trends in both the number of patches (NP) and the Largest Patch Index (LPI) were assessed at the mangrove stand level. The analysis reveals a significant correlation between structural changes in mangroves and drought events. Pre-1998, characterized by wetter conditions, witnessed a decrease in both NP and LPI, indicating patch expansion and habitat extension. Conversely, post-1998, during drought periods, both indices increased, indicating habitat degradation due to heightened drought intensity. Pre-1998 structural changes in the HBR signify habitat expansion, with increased patch extent and core areas reflecting enhanced structural integrity. However, post-1998, a concerning trend of habitat degradation emerged, with increased NP and LPI attributed to intensified droughts. These findings highlight a transitional period marked by favourable conditions for mangrove growth followed by habitat degradation linked to increased drought intensity. This underscores the vulnerability of mangrove ecosystems to climate change impacts, particularly exacerbated droughts, necessitating urgent efforts for conservation and management to preserve biodiversity and ecosystem services in coastal regions.

The Determination of Factors for ICT Quality Assessment Model

Information and Communication Technology (ICT) is a crucial asset in business processes and high ICT quality allows for highly efficient business processes. Measuring ICT quality is identified as a crucial step towards ensuring high-quality ICT service. Over the years several ICT assessment models have been developed and each year the factors of measurement are constantly updated. This is due to constant change in technology trends and the user requirements. Thus, any existing factors within models developed previously require review and update if necessary. Therefore, the most relevant factors for ICT assessment model are investigated in this study. Through literature review a set of updated factors are developed and expert review were used to validate the factors. Factors determined in this study are: Software System and Application, Computing Hardware, Network and Communication, Lifelong Learning organizational Governance, Ecosystem Support, Security and Official Recognition. The updated and validated factors shall help future researchers in developing a model to assess ICT compliancy for measuring readiness in providing quality ICT services.

One Year of Wastewater Surveillance in South Africa Supporting COVID-19 Clinical Findings Across Two Waves of Infection

Wastewater-based epidemiology (WBE) has been an important tool for the detection of COVID-19 outbreaks. The retrospective analysis of COVID-19 data is vital to understand the spread and impact of the virus as well as to inform future planning and response efforts. In this study, we evaluated the SARS-CoV-2 RNA levels in wastewater from 21 wastewater treatment plants (WWTPs) in the City of Cape Town (South Africa) over a period of 12 months and compared the (inactive) SARS-CoV-2 viral RNA in wastewater between wave 2 (November 2020 to January 2021) and wave 3 (June 2021 to September 2021). The SARS-CoV-2 RNA expression was quantified in wastewater using quantitative real-time PCR (qRT-PCR) by targeting the nucleocapsid (N) gene, and the resultant signal was normalized to the WWTP design capacity and catchment size. Our findings show that the maximum SARS-CoV-2 RNA signal was significantly higher in wave 3 than in wave 2 (p < 0.01). The duration of wave 3 (15 weeks) was longer than that of wave 2 (10 weeks), and the wastewater surveillance data supported the clinical findings, as evidenced by the two distinct waves. Furthermore, the data demonstrated the importance of long-term wastewater surveillance as a key indicator of changing trends.

Pegylated liposomal doxorubicin in partially platinum-sensitive, platinum-resistant, or platinum-refractory ovarian cancer: a prospective study.

This study aimed to evaluate the efficacy and safety of pegylated liposomal doxorubicin (PLD) for patients with partially platinum-sensitive, platinum-resistant, or platinum-refractory ovarian cancer. Patients with partially platinum-sensitive, platinum-resistant, or platinum-refractory ovarian cancer were recruited in this prospective, open-label, single-arm, multicenter study. Eligible patients were given 4-6 cycles of PLD (40mg/m2 on day 1, every 4 weeks). The primary endpoint was progression-free survival (PFS). Secondary endpoints were overall survival (OS), objective response rate (ORR), disease control rate (DCR), quality of life, and safety. Exploratory endpoints included the change trend of CA125 and platinum-free interval. Between June 2017 and November 2020, 167 eligible patients were included in the full analysis set. The median PFS and OS were 6.8 months (95% CI, 4.4-9.3 months) and 19.1 months (95% CI, 15.0-23.3 months), respectively. The ORR and DCR were 32.3% and 60.5%, respectively. The ORR (62.3 vs 22.5%) and DCR (84.9 vs 60.7%) of patients with a CA125 decrease after the first cycle were significantly higher than those without a CA125 decrease (all P < .05). Grade ≥ 3 and serious adverse events were reported in 9.9% and 3.9% of patients, respectively. No treatment-related death was observed. PLD showed promising efficacy and manageable tolerability in patients with partially platinum-sensitive, platinum-resistant, or platinum-refractory ovarian cancer.ClinicalTrials.gov Identifier: Chinese Clinical Trial Registry, ChiCTR1900022962.

Long-term trends and future projections of larynx cancer burden in China: a comprehensive analysis from 1990 to 2030 using GBD data

Larynx cancer poses a significant public health challenge in China, with rising incidence and mortality rates over the past decades. Understanding the long-term trends and underlying factors is crucial for effective intervention and policy formulation. Data were utilized from the global burden of disease (GBD) Study 2021 to analyze the incidence, prevalence, mortality, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) due to larynx cancer in China from 1990 to 2021. Joinpoint regression analysis identified key changes in trends, while age-period-cohort (APC) analysis and decomposition analysis quantified the contributions of aging, epidemiological changes, and population growth to these trends. Our study found a significant increase in the incidence and prevalence of larynx cancer in China, particularly among males. The age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) for males were substantially higher than those for females. Decomposition analysis revealed that aging was the primary driver of increasing incidence and mortality rates, while epidemiological changes had a mitigating effect. Joinpoint analysis identified periods of rapid urbanization and economic growth as key turning points for increased incidence. Bayesian APC models projected a continued upward trend in incidence rates up to 2030. The rising burden of larynx cancer in China underscores the need for targeted public health interventions, including smoking cessation programs, environmental pollution control, and early detection strategies. Addressing gender disparities and implementing effective prevention measures are crucial to mitigating the impact of larynx cancer in China.

Proactive care management of AI-identified at-risk patients decreases preventable admissions.

We assessed whether proactive care management for artificial intelligence (AI)-identified at-risk patients reduced preventable emergency department (ED) visits and hospital admissions (HAs). Stepped-wedge cluster randomized design. Adults receiving primary care at 48 UCLA Health clinics and determined to be at risk based on a homegrown AI model were included. We employed a stepped-wedge cluster randomized design, assigning groups of clinics (pods) to 1 of 4 single-cohort waves during which the proactive care intervention was implemented. The primary end points were potentially preventable HAs and ED visits; secondary end points were all HAs and ED visits. Within each wave, we used an interrupted time series and segmented regression analysis to compare utilization trends. In the pooled analysis of high-risk and highest-risk patients (n = 3007), potentially preventable HAs showed a statistically significant level drop (-27% [95% CI, -44% to -6%]), without any corresponding change in trends. Potentially preventable ED visits did not show a substantial level drop in response to the intervention, although a nonsignificant differential change in trend was observed, with visit rates decelerating 7% faster in the intervention cohorts (95% CI, -13% to 0%). Nonsignificant drops were observed for all HAs (-19% [95% CI, -35% to 1%]; P = .06) and ED visits (-15% [95% CI, -28% to 1%]; P = .06). A care management intervention targeting AI-identified at-risk patients was followed by a onetime, significant, sizable reduction in preventable HA rates. Further exploration is needed to assess the potential of integrating AI and care management in preventing acute hospital encounters.

An evaluation of soil carbon models and their role on finding ways to net-zero carbon in agricultural systems

The estimation of changes in soil organic carbon (SOC) is a key issue for national green-house gasses (GHG) inventories, climate change mitigation programs and the estimation of carbon footprint of farm products in life cycle assessments. Any strategy related to net-zero carbon in agricultural systems needs to quantify the SOC balance. In this way, SOC models help decision makers involved in agriculture to understand the dynamics of the SOC and the interaction between all variables related to soil, climate, land use, and management, to design the best solution to reduce emissions or enable carbon sequestration. Likewise, it is important to identify suitable models for the region. This study aims to address three main subjects: a) a discussion on the importance of SOC estimation for GHG inventories and the carbon footprint of crops, using the Intergovernmental Panel on Climate Change (IPCC) Tier 1 method and AMG model; b) an evaluation and brief description of the IPCC “Steady State Method” (SSM), using experimental data from two sites in Argentina, comparing these results to AMG and RothC models (both previously validated at those sites); and c) a brief discussion about the potential use of SOC models for what-if management scenarios, their real limitations and future research needs. The three models were consistent in predicting the impact of tillage and the long-term trends in changes in SOC stocks under different management practices. The SSM model was evaluated for the first time in Argentina and performed even better than the other two models. It was consistent with the observed values, when predicting the effect of tillage system under different crop rotations, including pasture systems. Regarding efficiencies of the models, they showed acceptable Nash-Sutcliffe Efficiency (NSE) values, and the root mean square error (RMSE) was also acceptable between 3 % and 7 %, within a range of 4–5 Mg C.ha−1. Therefore, the SSM model proved to be a valuable tool to estimate SOC trends for crop and pasture rotations under different management scenarios (i.e., tillage systems and fertilization), to identify best practices that allow for a zero or positive SOC balance, in two different soil and climate conditions of the Pampean Region of Argentina. In our study, the SSM did have a better fit to the data and, furthermore, this Tier 2 method is simpler than the Tier 3 models, and, therefore, is advantageous for conducting regional assessments and GHG inventories.

The Trend of Changes in Adiponectin, Resistin, and Adiponectin–Resistin Index Values in Type 2 Diabetic Patients with the Development of Metabolic Syndrome

The Trend of Changes in Adiponectin, Resistin, and Adiponectin–Resistin Index Values in Type 2 Diabetic Patients with the Development of Metabolic Syndrome

Is the period of austerity in the UK associated with increased rates of adverse birth outcomes?

Hugely concerning changes to health outcomes have been observed in the UK since the early 2010s, including reductions in life expectancy and widening of inequalities. These have been attributed to UK Government 'austerity' policies which have profoundly affected poorer populations. Studies in mainland Europe have shown associations between austerity and increases in adverse birth outcomes such as low birthweight (LBW). The aim here was to establish whether the period of UK austerity was also associated with higher risks of such outcomes. We analysed all live births in Scotland between 1981 and 2019 (n = 2.3 million), examining outcomes of LBW, preterm birth (PB) and small-for-gestational-age (SGA). Descriptive trend analyses, segmented regression (to identify changes in trends) and logistic regression modelling (to compare risk of outcomes between time periods) were undertaken, stratified by infant sex and quintiles of socioeconomic deprivation. There were marked increases in LBW and PB rates in the austerity period, particularly in the most deprived areas. However, rates of SGA decreased, suggesting prematurity as the main driver of LBW rather than intrauterine growth restriction. The regression analyses confirmed these results: trends in LBW and PB changed within 1-3 years of the period in which austerity was first implemented, and that period was associated with higher risk of such outcomes in adjusted models. The results add to the European evidence base of worsening birth outcomes associated with austerity-related economic adversity. The newly elected UK government needs to understand the causes of these changes, and the future implications for child and adult health.

Analysis of risk factors in angiographically proven coronary artery disease in rural and urban Indian population. Prospective observational multicentre study: Kashmir Heart Survey

ABSTRACT Background: The global burden of cardiovascular diseases is increasing rapidly, and changing trends in epidemiological risk factors are identified among diverse Indian population. There has been a significant increase in heart attack deaths over the past 3 years after the COVID-19 pandemic. Are we missing a link? There is an urgent need for studies to confirm any epidemiological shift in coronary artery disease (CAD) risk factors. Aims and Objectives: To analyse the risk factors in patients with established CAD in rural and urban Indian Kashmiri populations in the post-COVID period. Material and Methods: A prospective observational study of all patients with angiographically proven CAD who have undergone revascularisation or have a clinical suspicion of CAD on the basis of symptoms or positive stress test and later proven to have CAD on coronary angiograms, coming from rural and urban areas of Jammu and Kashmir were enrolled for the study and screened for various modifiable and non-modifiable CAD risk factors. Data was compiled and analysed to know the pattern of various CAD risk factors in our population. Results: The study included total 600 patients (rural and urban 300 each), mean age was 59.13 ± 11.62 years. Male patients were 65.50% with a mean age of 57.53 ± 14.17 years and female patients were 34.50% with a mean age of 62.16 ± 10.02 years. In rural subgroup of 300 patients mean age was 60.99 ± 16.86 years and in the urban population we found a mean age of 57.26 ± 16.21 years. The most common risk factor was smoking in 76% rural and 67% urban. Diabetes (39% rural, 43% urban), dyslipidaemia (47.33%, 48.66% urban), hypertension (61% rural, 66% urban), obesity (23% rural, 29.33% urban) and physical inactivity (33.66% rural, 37.33% urban. Conclusion: CAD manifests earlier in males and urban populations. Smoking is the most common risk factor for CAD in the Kashmiri Indian population and is more common in the rural population. Coronary artery disease risk factors, such as physical inactivity, diabetes, smoking, hypertension, obesity and dyslipidaemia, are more common in the urban population. Preventive strategies should focus on modifying the risk factors to decrease the prevalence of CAD in communities.

Multi-stage evolution of pore structure of microwave-treated sandstone: Insights from nuclear magnetic resonance

Microwave fracturing has great potential in improving the efficiency of hard rock breaking. However, the pore evolution, which can be regarded as the damage accumulation and progressive failure of the rock subjected to microwave irradiation, remains unclear. In this study, nuclear magnetic resonance (NMR) is employed to investigate the pore evolution and fracture mechanism of the sandstone under different microwave power levels. The results show that the pore evolution of the specimens, including distribution of pore size, the weight in volume of various-sized pore, and porosity, exhibits different changing trends under various microwave power levels. The pore evolution of the specimens under microwave irradiation can be categorized into four phases: overall pore expansion, localized pore closure in the internal region, micro-cracks propagation induced by thermal stress, and macro-cracking (or melting). Moreover, pore evolution also plays a crucial role in the decomposition and evaporation of bound water, particularly when the specimens experience fractures triggered by thermal stress induced by the microwave treatment (TSIMT). The employing of NMR imaging (NMRI) description also provides an auxiliary and effective illustration on the pore evolution of the specimens under microwave irradiation. Finally, the mechanism of microwave-assisted rock breaking under different power levels is comprehensively discussed based on the NMR results from a microscopic perspective. It is anticipated that the findings of this study can provide valuable insights for enhancing the efficiency of microwave-assisted rock breaking.

Change Patterns of Major Functional Components in the Loquat Summer Shoot Leaf during Annual Growth

Loquat leaves are widely used in traditional Chinese medicine and food processing as raw materials. To provide a theoretical basis for suitable harvesting periods based on the utilization of distinct components, the change patterns of major functional components in the annual growth of loquat leaves were investigated. In this study, the summer loquat leaves were sampled regularly during their annual growth, and the contents of seven main functional components and 13 monomer components were determined. The results showed that there was a regular change pattern for major functional components during loquat annual growth from Jul 2020 to Jun 2021; however, the change trend was different among different components. Among them, the contents of total flavonoids, total phenols, total triterpenoid acids, vitamin C, asiatic acid, quillaic acid, corosolic acid, and chlorogenic acid presented an overall upward trend. The content of maslinic acid showed a downward trend, whereas the content of neochlorogenic acid did not change much throughout the whole growth period. The content changes in the loquat leaves were affected by the light durations and temperature changes in different seasons, with mutual transit during the flowering and fruit growth processes. Sampling in May to June was found to be a most optimized option when applied in Chinese medicine processing; however, the degree of fibrosis is another indicator when it is used as food raw material. This study revealed the change pattern of major functional components of loquat leaves during the annual growth period and provides a theoretical basis for the reasonable harvesting period of loquat leaves as raw materials for processing different types of products.

Surface Wettability of Lignin Materials from Supercritical Water Hydrolysis of Wood

To meet the demands of the evolving circular economy, there is a growing need for renewable resources as base materials for innovative, easily recyclable products. Lignin, the second most abundant biopolymer, has emerged as a promising source of aromatics and reinforcing agent in polymer composites. For the successful manufacturing of homogeneous composite materials, good bonding between the coexisting phases is essential to prevent the formation of voids and agglomerates. Therefore, understanding the surface properties of these materials is crucial for designing optimal composite compounds. In this study, the wettability of lignin-cellulose composites and lignin samples obtained through supercritical water hydrolysis (SCWH) of birch wood is investigated. The contact angle (CA) technique, specifically the sessile drop method, was employed to assess and compare the wettability of SCWH lignin with commercially available lignin and raw birch wood. The results provide insights into their surface energy, adhesion, and hydrophilic or hydrophobic characteristics under processing conditions. All samples exhibited hydrophilicity, with an initial CA approximately 40 °, except for raw birch wood, which had a higher initial CA of ~ 64°. Notably, when lignin is accompanied by significant amounts of cellulose, different trends in CA changes over time were observed. The influence of pressure on the CA between water and these polymers was also analyzed, but no significant impact was detected. This research advances the development of lignin-based materials with tailored surface properties for various industrial applications.

Recent Trends in Academic Vs Non-academic Radiologist Compensation and Clinical Productivity.

Recent radiologist compensation and clinical productivity trends have not been well characterized, especially across academic vs. non-academic practice settings. To assess recent trends in in financial compensation and clinical productivity between academic and non-academic settings in diagnostic (DR) and interventional radiology (IR). We studied deidentified data from the Medical Group Management Association (MGMA) for both DR and IR radiologists in academic and non-academic practices from 2014 to 2023. Median, 25th and 75th percentile, and mean values were analyzed for compensation, collections and work relative-value-units (wRVUs). Compensation and productivity data were compared by radiology subspecialty (DR vs IR), practice type (academic vs non-academic provider), geographical region of the US, and practice size. Trends in absolute changes were analyzed with linear regression. The MGMA Survey data for 2023 included responses for 3769 radiologists (2883 in DR and 886 in IR). In 2023, non-academic radiologists had greater total median compensation than academic faculty in both DR (by 27%) and IR (by 32%). From 2014 to 2023, median compensation increased faster for academic DRs (3.2% annually) than for non-academic DRs (1.9% annually). In 2023, DRs produced greater median wRVUs than IRs (by 53 % for non-academic and 46 % for academic radiologists) with higher collections, but IRs had higher compensation (by 16% in non-academic and 10% in academic settings). Over the last decade, IR physician compensation increased by 3.9% and 3.4% annually for non-academic and academic IR physicians respectively while median work RVUs trended downward (by -1.5 % for non-academic and -2.4 % for academic physicians) with declining collections (by -4.4 % annually for non-academic and -2.1 % for academic physicians). Over the last decade, the salary gap between academic and non-academic radiologists has narrowed. Physician compensation has increased at a faster pace in IR, despite relatively lower clinical productivity and declining collections.