Increase In Proportion Research Articles

Evaluating the Cumulative Effects of Fundamental Radiation Safety Measures on Health Professionals in Cath Lab

Evaluating the Cumulative Effects of Fundamental Radiation Safety Measures on Health Professionals in Cath Lab

Participant characteristics and exclusion from phase 3/4 industry funded trials of chronic medical conditions: meta-analysis of individual participant level data

ObjectivesTo assess whether age, sex, comorbidity count, and race and ethnic group are associated with the likelihood of trial participants not being enrolled in a trial for any reason (ie,...

A Comparative Study on Serum Levels of “Thymic Stromal Lymphopoietin” Between Patients with Psoriasis Vulgaris and Healthy Individuals: A Case-Control Study

Abstract Background: Thymic stromal lymphopoietin (TSLP) is a cytokine initially implicated to be associated with allergic disorders inducing Th2 response. Emerging studies have shown that TSLP is also involved in autoimmune diseases. In psoriasis, TSLP acts in synergy with T cell-derived CD40L to promote the release of IL-23 from dendritic cells. IL-23 is responsible for the inappropriate immune reaction and keratinocyte proliferation in psoriasis. Targeting TSLP could be a novel therapeutic approach in the treatment of psoriasis. Objective: To compare the serum levels of TSLP between patients with psoriasis and healthy individuals. Materials and Methods: A prospective hospital-based case-control study was carried out on 38 patients with psoriasis. The severity of psoriasis was graded into mild, moderate, and severe according to PASI. A total of 30 healthy individuals with matched age and sex were taken as controls. 5 ml of venous blood was collected, centrifuged, and the collected serum was stored at -80°C until quantitative assessment by sandwich enzyme-linked immunosorbent assay (ELISA) technique. Results: TSLP has been found to be significantly elevated in the sera of cases (0.1380178 pg/ml) than in controls (0.1125974 pg/ml). There was also a significant proportionate increase in the mean TSLP with the mean PASI score. Limitations: The sample size was small and we could not follow-up the cases to study the changes in TSLP levels with remission of the lesions. Conclusion: We found that serum TSLP was elevated in psoriasis patients and correlated with disease severity, indicating a possible pathogenetic role.

NuSTAR detection of a broad absorption line in IGR J06074+2205

BeXRB pulsar IGR J06074+2205 using NuSTAR observations. The temporal and spectral characteristics of the source are investigated. We detect coherent X-ray pulsations of the source and determine the spin period evolution. Using the current spin period data of the source, we show that the source is spinning down at 0.0202(2) sday−1. The pulse profiles are found to evolve with energy and luminosity. Another interesting feature of the source is that the pulse profiles are dual peaked. The dual-peaked pulse profile is characterized by a decreasing secondary peak amplitude with increasing energy. We also observed a proportionate increase in the primary peak amplitude as the energy increases. The pulse fraction exhibits an overall increasing trend with the energy. The X-ray continuum of the source indicates the existence of a characteristic absorption feature with a centroid energy ∼55 keV, which may be interpreted as a cyclotron line. We estimate the corresponding magnetic field strength to be ∼4.74×1012 G. A peculiar ‘10 keV’ absorption feature is observed in the X-ray spectra of the second observation. The luminosity measurements predict that the source may be accreting in the sub-critical regime.

Severe ocular chemical injury in the UK: a British Ophthalmological Surveillance Unit study.

Severe ocular chemical injury is a potentially devastating condition which most commonly affects men of working age. Workplace injuries previously accounted for the majority of incidents, but there has been a recent increase in assaults involving corrosive substances throughout the UK. The objectives of this study were to determine the incidence and demographics of severe ocular chemical injury and describe current surgical management practices. Cases were prospectively ascertained through the British Ophthalmological Surveillance Unit monthly reporting system during 2019-21. In total, 20 cases involving 29 eyes met the inclusion criteria. The reported incidence of severe ocular chemical injury during the pre-pandemic period of the study was 0.24 per million. Cases due to alleged assault have become more common than workplace injuries. A total of 81% patients had persistent complications at 6 months requiring ongoing treatment, and 60% patients required surgical intervention. Although there are limitations with the case ascertainment methods, severe ocular chemical injury remains rare within the UK. There has been a proportionate increase in cases related to alleged assault compared with previous similar studies. Amniotic membrane grafting remains the most commonly performed surgical procedure in these patients.

Studies on structural, optical, thermal and low energy shielding for gamma rays for the ZSBP glasses

By employing the melt-quenching technique, the ZnO–SrO–B2O3–PbO (ZSBP) glasses have been successfully fabricated. The derivative of Absorption Spectra Fitting (DASF) method was used to study the energy band gap (Eg) of the glasses which decreases from 3.57 eV to 3.39 eV. The structural properties have been studied using the Raman spectroscopy. The glass transition temperature (Tg) decreases with increase in concentration of the lead oxide. The current study examines the radiation shielding properties at 30.80–444 keV. The addition of PbO to the glasses resulted in a proportionate increase in the mass attenuation coefficient (MAC), suggesting a diminishing tendency in radiation transmission. At 30.80 keV, the MAC values are extremely high and range from 18.06 to 21.11 cm2/g. As density rises, the half value layer (HVL) decreases. In addition, the average HVL (HVL‾) decreases. The glass thickness required to reduce the radiation intensity to 90 %, 50 %, 25 %, and 10 % of its initial value is investigated at an energy of 35.80 keV. The T90 %, T50 %, T25 %, and T10 % values are 0.0020, 0.0132, 0.0264, and 0.0439 cm, respectively. The results suggest that a greater thickness of the radiation barrier is necessary to attain the necessary degree of attenuation.

Feasibility and practicality of a simulated placement: an exploratory pilot of a novel training method for postgraduate psychology students in the wake of COVID-19

ABSTRACT Objective In 2020, COVID-19 caused a drastic interruption to face-to-face postgraduate psychology placements in Australia, prompting the development of a simulated placement. This pilot project represents a preliminary evaluation of the program by exploring the feasibility of a simulated placement as a novel training modality for competence development in postgraduate psychology training. Method Students enrolled in a simulated postgraduate psychology placement in 2021 completed an online survey at the end of the placement. Acceptability, perceived competency and experience of the placement were assessed. Chi-square goodness of fit tests were used to evaluate the difference between rates of completion and the length of time it took to complete placement requirements between students enrolled in face-to-face placements in 2019 and 2020, and the simulated placement in 2021. Results The results showed an increase in proportion of students who completed the simulated placement than previous face-to-face placements and that students were able to complete training and meet competence in shorter time frames. Students reported increased psychological competency and confidence to practice at the completion of the simulated placement. Conclusions A simulated psychology placement is a novel teaching modality that may be feasible in the development of perceived psychological competence and confidence in postgraduate psychology students.

The importance of intravenous glucose tolerance test glucose stimulus for the evaluation of insulin secretion

For 100 years, the Intravenous glucose tolerance test (IVGTT) has been used extensively in researching the pathophysiology of diabetes mellitus and AIRg—the IVGTT-induced acute insulin response to the rapid rise in circulating glucose—is a key measure of insulin secretory capacity. For an effective evaluation of AIRg, IVGTT glucose loading should be adjusted for glucose distribution volume (gVOL) to provide an invariant, trend-free immediate rise in circulating glucose (ΔG0). Body weight-based glucose loads have been widely used but whether these achieve a trend-free ΔG0 does not appear to have been investigated. By analysing variation in AIRg, ΔG0 and gVOL with a range of IVGTT loads, both observed and simulated, we explored the hypothesis that there would be an optimum anthropometry-based IVGTT load calculation that, by achieving a trend-free ΔG0, would not compromise evaluation of AIRg as an index of beta cell function. Data derived from patient and research volunteer records for 3806 IVGTT glucose and insulin profiles. Among the non-obese, as gVOL rose, weight increased disproportionately rapidly. Consequently, the IVGTT glucose load needed for an invariant ΔG0 was progressively overestimated, accounting for 47% of variation in AIRg. Among the obese, ΔG0 was trend-free yet AIRg increased by 11.6% per unit body mass index, consistent with a more proportionate increase in weight with gVOL and a hyperinsulinaemic adaptation to adiposity-associated insulin resistance. Simulations further confirmed our hypothesis by demonstrating that a body surface area-based IVGTT load calculation could provide for a more generally invariant IVGTT ΔG0.

Evaluating the spike in the symptomatic proportion of SARS-CoV-2 in China in 2022 with variolation effects: a modeling analysis

Despite most COVID-19 infections being asymptomatic, mainland China had a high increase in symptomatic cases at the end of 2022. In this study, we examine China's sudden COVID-19 symptomatic surge using a conceptual SIR-based model. Our model considers the epidemiological characteristics of SARS-CoV-2, particularly variolation, from non-pharmaceutical intervention (facial masking and social distance), demography, and disease mortality in mainland China. The increase in symptomatic proportions in China may be attributable to (1) higher sensitivity and vulnerability during winter and (2) enhanced viral inhalation due to spikes in SARS-CoV-2 infections (high transmissibility). These two reasons could explain China's high symptomatic proportion of COVID-19 in December 2022. Our study, therefore, can serve as a decision-support tool to enhance SARS-CoV-2 prevention and control efforts. Thus, we highlight that facemask-induced variolation could potentially reduces transmissibility rather than severity in infected individuals. However, further investigation is required to understand the variolation effect on disease severity.

Machine Learning Algorithms for Predictive Maintenance in Industrial Environments: A Comparative Study

In the realm of Industry 4.0, the utilization of artificial intelligence (AI) and machine learning for anomaly detection faces challenges due to significant computational demands and associated environmental consequences. This study aims to tackle the need for high-performance machine learning models while promoting environmental sustainability, contributing to the emerging concept of 'Green AI.' We meticulously assessed a wide range of machine learning algorithms, combined with various Multilayer Perceptron (MLP) configurations. Our evaluation encompassed a comprehensive set of performance metrics, including Accuracy, Area Under the Curve (AUC), Recall, Precision, F1 Score, Kappa Statistic, Matthews Correlation Coefficient (MCC), and F1 Macro. Concurrently, we evaluated the environmental footprint of these models by considering factors such as time duration, CO2 emissions, and energy consumption during training, cross-validation, and inference phases.
 
 While traditional machine learning algorithms like Decision Trees and Random Forests exhibited robust efficiency and performance, optimized MLP configurations yielded superior results, albeit with a proportional increase in resource consumption. To address the trade-offs between model performance and environmental impact, we employed a multi-objective optimization approach based on Pareto optimality principles. The insights gleaned emphasize the importance of striking a balance between model performance, complexity, and environmental considerations, offering valuable guidance for future endeavors in developing environmentally conscious machine learning models for industrial applications

Laboratory testing efficiency during the COVID pandemic: Findings from the Primary Health Care Corporation laboratories in the State of Qatar

BackgroundLittle is known about how the COVID-19 pandemic altered laboratory testing efficiency in the State of Qatar. The aim of this study was to assess laboratory testing efficiency with respect to the total number and proportion of C-reactive protein (CRP), complete blood count (CBC), and comprehensive metabolic panel (CMP) tests completed on time in 2019–2021 in several ordinary and COVID-converted Primary Health Care Corporation (PHCC) health centers across Qatar. MethodsSecondary data from 2019 to 2021 were accessed from the PHCC-Clinical Information System center. Six randomly selected centers from three regions of Qatar (Northern, Central, and Western), two of which were COVID-converted, were analyzed. ResultsA total of 404,316 laboratory tests were analyzed. There were decreasing, U-shaped, and inverted-U-shaped patterns in the numbers of tests conducted in different regions between 2019 and 2021 according to test type. The proportion of urgent (STAT) CBC and CMP tests increased from 2019 to 2021, and the proportion of tests completed by COVID-converted health centers increased for CRP and CBC and decreased for CMP between 2019 and 2021. Northern and Western regions in Qatar showed higher efficiency than the Central region with respect to the proportion of STAT tests completed on time in 2019–2021. COVID-converted centers completed fewer STAT CBC tests on time than ordinary centers. ConclusionPandemics such as COVID-19 shift the allocation of resources from routine tests to urgent tests, as exemplified by the increase in STAT test proportions in 2019 to 2021. High population densities, as noted in the Central region of Qatar, may require additional resources during pandemics to complete urgent tests more efficiently. The conversion of centers to COVID-converted centers may not necessarily translate into higher urgent test efficiency, as exemplified by the STAT CBC test results.

Do shifts in the racial and ethnic composition of a neighborhood lead to extreme changes in commuting times? evidence from New York City

From 2000 to 2016, NYC average commuting times increased by a marginal 0.24 s across all transit modes. Depending on one’s viewpoint, this could be a policy success due to no significant increase in commuting times or it could be a policy failure due to no substantial decrease in commuting time over almost two decades. Nevertheless, many census tracts actually experienced extreme increases or decreases in commuting times. The goal of this paper is to examine these extreme changes by focusing on understanding how changes in census tracts', racial and ethnic compositions influence commuting time changes. Analyzing NYC as a case study, we use logistic regressions with eigenvector spatial filtering (ESF) to identify the likelihood of extreme changes in commuting time from 2000 to 2016 given changes in various neighborhood characteristics. Overall, census tracts experiencing increases in Black, Asian, and Hispanic or Latino residents, female-headed households, and workers in professional occupations as well as higher highway densities are likely to have experienced extreme increases in commuting times. Meanwhile, census tracts experiencing increases in White residents, income, rental occupancy, housing burden, and proportions of their census tract within a subway shed are likely to have experienced extreme decreases in commuting times. The results for race and ethnicity support existing research indicating that racial and ethnic minorities are likelier to experience longer commuting times compared to White residents. The importance of our research, though, lies in showing that even when overall commuting times remain relatively stable, racial/ethnic minorities still face commuting disadvantages.

Characterization of the Effects of a Novel Probiotic on Salmonella Colonization of a Piglet-Derived Intestinal Microbiota Using Improved Bioreactor.

The carriage of Salmonella in pigs is a major concern for the agri-food industry and for global healthcare systems. Humans could develop salmonellosis when consuming contaminated pig products. On the other hand, some Salmonella serotypes could cause disease in swine, leading to economic losses on farms. The purpose of the present study was to characterize the anti-Salmonella activity of a novel Bacillus-based probiotic using a bioreactor containing a piglet-derived intestinal microbiota. Two methods of probiotic administration were tested: a single daily and a continuous dose. Salmonella enumeration was performed using selective agar at T24h, T48h, T72h, T96h and T120h. The DNA was extracted from bioreactor samples to perform microbiome profiling by targeted 16S rRNA gene sequencing on Illumina Miseq. The quantification of short-chain fatty acids (SCFAs) was also assessed at T120h. The probiotic decreased Salmonella counts at T96 for the daily dose and at T120 for the continuous one. Both probiotic doses affected the alpha and beta diversity of the piglet-derived microbiota (p < 0.05). A decrease in acetate concentration and an increase in propionate proportion were observed in the continuous condition. In conclusion, the tested Bacillus-based product showed a potential to modulate microbiota and reduce Salmonella colonization in a piglet-derived intestinal microbiota and could therefore be used in vivo.

Evaluating the implementation of the Primary Health Integrated Care Project for Chronic Conditions: a cohort study from Kenya

IntroductionIn Kenya, non-communicable diseases (NCDs) are estimated to account for almost one-third of all deaths and this is likely to rise by over 50% in the next 10 years. The...

Optimal pricing and environmental improvement in a dual-channel hazardous waste disposal supply chain under cost sharing contract

A dual-channel hazardous waste supply chain consisting of a disposal facility and a contractor is studied, where the customer demand is sensitive to price and environment impacts. Under the government’s emissions penalty, the disposal facility must invest in technology for hazardous waste disposal to reduce waste emissions. Firstly, under the cost-sharing contract, the cooperation model based on a disposal facility and a contractor is constructed, and the influence of cost-sharing ratio on supply chain system is discussed; Secondly, the Stackelberg game models are presented; Finally, the numerical experiments are conducted. The computational results show that the cost sharing contract can improve the total profit of the dual-channel supply chain. When one party is dominant, whether it is the disposal facility-Stackelberg or the contractor-Stackelberg, the profit of that party always increases as the cost sharing proportion increases. Moreover, for the environment and consumers, an increasing cost sharing proportion of the contractor can improve the disposal technology, and the emissions per unit of hazardous waste disposal have been consistently decreasing.

Two-Dimensional MXene as a Promising Adsorbent for Trihalomethanes Removal: A Density-Functional Theory Study.

This groundbreaking research delves into the intricate molecular interactions between MXene and trihalomethanes (THs) through a comprehensive theoretical study employing density-functional theory (DFT). Trihalomethanes are common carcinogenic chlorination byproducts found in water sanitation systems. This study focuses on a pristine MXene [Mn+1·Xn] monolayer and its various terminal [Tx] functional groups [Mn+1·XnTx], strategically placed on the surface for enhanced performance. Our investigation involves a detailed analysis of the adsorption energies of THs on different MXene types, with the MXene-Cl layer emerging as the most compatible variant. This specific MXene-Cl layer exhibits remarkable properties, including a total dipole moment (TDM) of 12.443 Debye and a bandgap of 0.570 eV, achieved through meticulous geometry optimization and computational techniques. Notably, THs such as trichloromethane (CHCl3), bromide-chloromethane (CHBrCl2), and dibromochloromethane (CHBr2Cl) demonstrate the highest TDM values, indicating substantial changes in electronic and optical parameters, with TDM values of 16.363, 15.998, and 16.017 Debye, respectively. These findings highlight the potential of the MXene-Cl layer as an effective adsorbent and detector for CHF3, CHClF2, CHCl3, CHBrCl2, and CHBr2Cl. Additionally, we observe a proportional increase in the TDM and bandgap energy, indicative of conductivity, for various termination atom combinations, such as Mxene-O-OH, Mxene-O-F, Mxene-O-Cl, Mxene-OH-F, Mxene-F-Cl, and Mxene-OH-Cl, with bandgap energies measured at 0.734, 0.940, 1.120, 0.835, and 0.927 eV, respectively. Utilizing DFT, we elucidate the adsorption energies of THs on different MXene surfaces. Our results conclusively demonstrate the significant influence of the termination atom nature and quantity on MXene's primitive TDM value. This research contributes to our understanding of MXene-THs interactions, offering promising avenues for the development of efficient adsorbents and detectors for THs. Ultimately, these advancements hold the potential to revolutionize water sanitation practices and enhance environmental safety.

An Experimental Investigation of the Effects of Block Proportion on Bimrocks, Considering Different Block-to-Matrix Strength Ratios.

The rock block proportion is one of the most important factors affecting the mechanical properties of bimrocks. Under different block-to-matrix strength ratios, the influence of rock block proportion is different. To explore the influence of rock block proportion on the mechanical properties of specimens under different block-to-matrix strength ratios, a new indoor test method for making bimrocks was proposed. A uniaxial compression test and a direct shear test were carried out on specimens with different rock block proportions. The results show that this method can control the block-to-matrix strength ratio well, and the influence of rock block proportion is obviously different under different block-to-matrix strength ratios. The strong matrix sample will decrease significantly after reaching the peak compressive strength, while the weak matrix will decrease slowly after reaching the peak strength. The rock block proportion is negatively correlated with the uniaxial compressive strength of strong matrix samples (the reduction was 12.53%) and is positively correlated with the uniaxial compressive strength of weak matrix samples as a whole, but it changes when block proportion is more than 50%. With the increase in normal stress and rock block proportion increases from 30% to 60%, the shear failure zone of the weak matrix sample increases, and the cracks are inclined, while the strong matrix sample has more secondary cracks. The results of this study also show that the effect of volumetric block proportion (VBP) on the internal friction angle and cohesion of the sample is less related to the block-to-matrix strength ratio.

The Physiological Basis of Alfalfa Plant Height Establishment.

Plant height plays an important role in crop yield, product quality, and cultivation management. However, the physiological mechanisms that regulate the establishment of plant height in alfalfa plants remain unclear. Herein, we measured plant height traits, leaf characteristics, photosynthetic physiology, cell wall composition, and endogenous hormone contents of tall- and short-stalked alfalfa materials at different reproductive periods. We analyzed the physiology responsible for differences in plant height. The results demonstrated that the number of internodes in tall- and short-stalked alfalfa materials tended to converge with the advancement of the fertility period. Meanwhile, the average internode length (IL) of tall-stalked materials was significantly higher than that of short-stalked materials at different fertility periods, with internode length identified as the main trait determining the differences in alfalfa plant height. Leaf characteristics, which are closely related to photosynthetic capacity, are crucial energy sources supporting the expression of plant height traits, and we found that an increase in the number of leaves contributed to a proportional increase in plant height. Additionally, a significant positive correlation was observed between plant height and leaf dry weight per plant during the branching and early flowering stages of alfalfa. The leaves of alfalfa affect plant height through photosynthesis, with the budding stage identified as the key period for efficient light energy utilization. Plant height at the budding stage showed a significant positive correlation with soluble sugar (SS) content and a significant negative correlation with intercellular CO2 concentration. Moreover, we found that alfalfa plant height was significantly correlated with the contents of indole-3-acetic acid in stem tips (SIAA), gibberellin A3 in leaves (LGA3), zeatin in stem tips (SZT), and abscisic acid in leaves (LABA). Further investigation revealed that SS, SIAA, and LGA3 contents were important physiological indicators affecting alfalfa plant height. This study provides a theoretical basis for understanding the formation of alfalfa plant height traits and for genetic improvement studies.

Core-shell PCM encapsulation model for thermoregulation of asphalt pavements

The implementation of cooler pavements plays an important role in alleviating the urban heat island (UHI) effect and extending the lifespan of pavements. One potential approach to develop cool pavements involves the incorporation of phase change materials (PCMs). In this study, a numerical investigation is conducted to evaluate the effectiveness of incorporating core–shell encapsulated PCMs within asphalt pavements. To facilitate this analysis, an enthalpy-porosity-based heat transfer model is developed, and its accuracy is validated through experimental data obtained in-house. For this study, commercially available PCMs, namely Organic Mixture 35 (OM 35) and Organic Mixture 42 (OM 42), encapsulated within hollow steel balls are used. The outcomes of the investigation reveal that the inclusion of core–shell encapsulated PCMs is a viable method for reducing the temperature of asphalt pavements. Further, it is found that as the thermal conductivity of asphalt pavements increases from 1.21 to 2.41 W/mK, there is corresponding proportional increase in the temperature reduction achieved by integrating the PCMs with the pavements. The proportional temperature reduction with increase in thermal conductivity of asphalt pavements are found to be 3.55 °C using OM 35 and 3.37 °C using OM 42 respectively. It is worth noting that while the thermal characteristics of the steel balls exhibit a limited influence on temperature reduction, their physical attributes should be given careful consideration during the design phase of asphalt pavements.

Long‐term biochar application promoted soil aggregate‐associated potassium availability and maize potassium uptake

AbstractBiochar is an effective ameliorator for soil quality improvement and nutrient reuse from biomass; however, the effect of biochar application on soil potassium (K) availability, plant K uptake, and the underlying mechanisms have not been well‐elucidated. To address this, the variation in the soil K forms, soil aggregate stability, and aggregate‐associated K concentration, as well as maize K uptake, were investigated in a field experiment after 9 years of biochar amendment. The treatments included no biochar and NPK fertilizer (CK); NPK fertilizer treatment (F); biochar applied annually at the rate of 2.625 t ha−1 (C1), and biochar applied annually at rate of 2.625 t ha−1 with NPK fertilizers (C1F); one‐time biochar applied with NPK fertilizers, with biochar rate of 31.5 (C2F) and 47.25 t ha−1 (C3F). The results showed that after 9 years of field application, biochar inhibited the downward K migration to the deeper layer, thus increasing water‐soluble potassium (WSK), exchangeable potassium (EK), non‐exchangeable potassium (NEK), and total potassium (TK) in 0–20 cm soil, with C1F exhibiting better performance than C2F and C3F. Biochar also increased aggregate‐associated EK, NEK, and TK pools, mainly due to an increase in the macroaggregate proportion (&gt;0.25 mm). Biochar amendment promoted maize K uptake by an average of 35.69%, the path analysis indicated that the positive effect was an outcome of the synergetic effect of the increase in surface soil WSK content and promoted macroaggregate EK pools, which was primarily attributed to biochar improved soil properties, including soil organic carbon, pH, total nitrogen, total phosphorus, and cation exchange capacity. These factors explained 76% of the variance in maize K uptake. In conclusion, biochar is an effective ameliorator for improving soil K content and availability.