Search

Quantifying the colors of objects is useful in a wide range of applications, including medical diagnosis, agricultural monitoring, and food safety. Accurate colorimetric measurement of objects is a laborious process normally performed through a color matching test in the laboratory. A promising alternative is to use digital images for colorimetric measurement, due to their portability and ease of use. However, image-based measurements suffer from errors caused by the non-linear image formation process and unpredictable environmental lighting. Solutions to this problem often perform relative color correction among multiple images through discrete color reference boards, which may yield biased results due to the lack of continuous observation. In this paper, we propose a smartphone-based solution, that couples a designated color reference board with a novel color correction algorithm, to achieve accurate and absolute color measurements. Our color reference board contains multiple color stripes with continuous color sampling at the sides. A novel correction algorithm is proposed to utilize a first-order spatial varying regression model to perform the color correction, which leverages both the absolute color magnitude and scale to maximize the correction accuracy. The proposed algorithm is implemented as a "human-in-the-loop" smartphone application, where users are guided by an augmented reality scheme with a marker tracking module to take images at an angle that minimizes the impact of non-Lambertian reflectance. Our experimental results show that our colorimetric measurement is device independent and can reduce up to 90% color variance for images collected under different lighting conditions. In the application of reading pH values from test papers, we show that our system performs 200% better than human reading. The designed color reference board, the correction algorithm, and our augmented reality guiding approach form an integrated system as a novel solution to measure color with increased accuracy. This technique has the flexibility to improve color reading performance in systems beyond existing applications, evidenced by both qualitative and quantitative experiments on example applications such as pH-test reading.

ObjectivesTo adopt the FAIR principles (Findable, Accessible, Interoperable, Reusable) to enhance data sharing, the Cure Sickle Cell Initiative (CureSCi) MetaData Catalog (MDC) was developed to make Sickle Cell Disease (SCD) study datasets more Findable by curating study metadata and making them available through an open-access web portal.MethodsStudy metadata, including study protocol, data collection forms, and data dictionaries, describe information about study patient-level data. We curated key metadata of 16 SCD studies in a three-tiered conceptual framework of category, subcategory, and data element using ontologies and controlled vocabularies to organize the study variables. We developed the CureSCi MDC by indexing study metadata to enable effective browse and search capabilities at three levels: study, Patient-Reported Outcome (PRO) Measures, and data element levels.ResultsThe CureSCi MDC offers several browse and search tools to discover studies by study level, PRO Measures, and data elements. The "Browse Studies," "Browse Studies by PRO Measures," and "Browse Studies by Data Elements" tools allow users to identify studies through pre-defined conceptual categories. "Search by Keyword" and "Search Data Element by Concept Category" can be used separately or in combination to provide more granularity to refine the search results. This resource helps investigators find information about specific data elements across studies using public browsing/search tools, before going through data request procedures to access controlled datasets. The MDC makes SCD studies more Findable through browsing/searching study information, PRO Measures, and data elements, aiding in the reuse of existing SCD data.

We aimed to elucidate the characteristics of HIV molecular epidemiology and identify transmission hubs in eastern China using genetic transmission network and lineage analyses. HIV-TRACE was used to infer putative relationships. Across the range of epidemiologically-plausible genetic distance (GD) thresholds (0.1-2.0%), a sensitivity analysis was performed to determine the optimal threshold, generating the maximum number of transmission clusters and providing reliable resolution without merging different small clusters into a single large cluster. Characteristics of genetically linked individuals were analyzed using logistic regression. Assortativity (shared characteristics) analysis was performed to infer shared attributes between putative partners. 1,993 persons living with HIV-1 were enrolled. The determined GD thresholds within subtypes CRF07_BC, CRF01_AE, and B were 0.5%, 1.2%, and 1.7%, respectively, and 826 of 1,993 (41.4%) sequences were linked with at least one other sequence, forming 188 transmission clusters of 2-80 sequences. Clustering rates for the main subtypes CRF01_AE, CRF07_BC, and B were 50.9% (523/1027), 34.2% (256/749), and 32.1% (25/78), respectively. Median cluster sizes of these subtypes were 2 (2-52, n = 523), 2 (2-80, n = 256), and 3 (2-6, n = 25), respectively. Subtypes in individuals diagnosed and residing in Hangzhou city (OR = 1.423, 95% CI: 1.168-1.734) and men who have sex with men (MSM) were more likely to cluster. Assortativity analysis revealed individuals were more likely to be genetically linked to individuals from the same age group (AIage = 0.090, P

BackgroundGlaucoma, a primary cause of blindness worldwide, has its association with depression and anxiety noted, yet the understanding of such association is still rudimentary. This study aims to provide the unidirectional perspectives on the association of glaucoma with depression and anxiety, informing public health strategies.MethodsThe Meta-analysis screened observational studies from Medline, Embase, and Web of Science, using the modified Newcastle-Ottawa Scale for quality assessment. It employed R's 'meta' package to assess the association between glaucoma and depression or anxiety prevalence. The Mendelian Randomization (MR) analysis was conducted using R's 'TwoSampleMR' package, based on data from the IEU database data to explore the impact of glaucoma on depression and anxiety.ResultsThis Meta-analysis included 23 out of 379 studies involving 11,845 glaucoma patients. The combined prevalence of depression among glaucoma patients, derived from 18 cross-sectional studies, stood at 19.42%. Five case-control studies indicated that glaucoma patients had a 6.17-fold higher risk of depression compared to controls. Derived from 16 cross-sectional studies, the consolidated prevalence for anxiety was 19.07%. According to five case-control studies, glaucoma patients exhibited a 4.45-fold increased risk of anxiety compared to controls. MR analysis failed to uncover a causal effect of glaucoma on depression and anxiety.ConclusionThis study suggests that glaucoma patients may experience higher prevalence of depression and anxiety than the general population, with no clear genetic links found. It suggests that environmental factors and non-genetic biological pathways, among others, may play significant roles in their association, though the role of genetic factors cannot be ruled out. These findings highlight the necessity of a comprehensive approach to study the complex factors influencing the association of glaucoma with depression or anxiety and underscore the importance of integrating mental health considerations into glaucoma management to improve medication adherence and disease progression.

Signal transducer and activator of transcription-3 (STAT3) is an oncogenic transcription factor implicated in carcinogenesis, tumor progression, and drug resistance in head and neck squamous cell carcinoma (HNSCC). A decoy oligonucleotide targeting STAT3 offers a promising anti-tumor strategy, but achieving targeted tumor delivery of the decoy with systemic administration poses a significant challenge. We previously showed the potential for STAT3 decoy-loaded microbubbles, in conjunction with ultrasound targeted microbubble cavitation (UTMC), to decrease tumor growth in murine squamous cell carcinoma. As a next step towards clinical translation, we sought to determine the anti-tumor efficacy of our STAT3 decoy delivery platform against human HNSCC and the effect of higher STAT3 decoy microbubble loading on tumor cell inhibition. STAT3 decoy was loaded on cationic lipid microbubbles (STAT3-MB) or loaded on liposome-conjugated lipid microbubbles to form STAT3-loaded liposome-microbubble complexes (STAT3-LPX). UTMC treatment efficacy with these two formulations was evaluated in vitro using viability and apoptosis assays in CAL33 (human HNSCC) cells. Anti-cancer efficacy in vivo was performed in a CAL33 tumor murine xenograft model. UTMC with STAT3-MB caused significantly lower CAL33 cell viability compared to UTMC with STAT3-LPX (56.8±8.4% vs 84.5±8.8%, respectively, p

BackgroundAmbulatory function predicts morbidity and mortality and may be influenced by cardiopulmonary dysfunction. Persons living with HIV (PLWH) suffer from a high prevalence of cardiac and pulmonary comorbidities that may contribute to higher risk of ambulatory dysfunction as measured by 6-minute walk test distance (6-MWD). We investigated the effect of HIV on 6-MWD.MethodsPLWH and HIV-uninfected individuals were enrolled from 2 clinical centers and completed a 6-MWD, spirometry, diffusing capacity for carbon monoxide (DLCO) and St. George's Respiratory Questionnaire (SGRQ). Results of 6-MWD were compared between PLWH and uninfected individuals after adjusting for confounders. Multivariable linear regression analysis was used to determine predictors of 6-MWD.ResultsMean 6-MWD in PLWH was 431 meters versus 462 in 130 HIV-uninfected individuals (p = 0.0001). Older age, lower forced expiratory volume (FEV1)% or lower forced vital capacity (FVC)%, and smoking were significant predictors of decreased 6-MWD in PLWH, but not HIV-uninfected individuals. Lower DLCO% and higher SGRQ were associated with lower 6-MWD in both groups. In a combined model, HIV status remained an independent predictor of decreased 6-MWD (Mean difference = -19.9 meters, p = 0.005).ConclusionsHIV infection was associated with decreased ambulatory function. Airflow limitation and impaired diffusion capacity can partially explain this effect. Subjective assessments of respiratory symptoms may identify individuals at risk for impaired physical function who may benefit from early intervention.

Chlamydia psittaci—a zoonotic pathogen in birds—may be transmitted to humans, causing severe respiratory disease. Individuals working in or living near poultry farms are highly susceptible to C. psittaci infection. In this study, we assessed the prevalence and genotypes of C. psittaci in poultries and humans in three cities of China by collecting fecal samples from different poultry species and throat swab samples and serum samples from workers in poultry farms and zoos. These samples were screened by real-time fluorescence quantitative PCR (qPCR) targeting C. psittaci ompA. The positive samples were subjected to PCR amplification and sequencing of ompA. The strains detected in the samples were genotyped on the basis of the phylogenetic analysis of ompA sequences. In total, 3.13% (40/1278) poultry fecal samples were positive in the qPCR assay, whereas 3.82% (6/157) of throat swab samples and 42.59% (46/108) of serum samples from the workers were positive in the qPCR and indirect fluorescent antibody assays, respectively. The strains detected in the 32 poultry samples and 6 human samples were genotyped as type A, indicating that the workers were infected with C. psittaci that originated in poultry birds in farms. Additionally, eight peacocks showed strains with the genotype CPX0308, which was identified in China for the first time. Elucidating the distribution of C. psittaci in animals and poultry-related workers may provide valuable insights for reducing the risk of C. psittaci infection within a population. [ABSTRACT FROM AUTHOR]

Background: Glaucoma, a primary cause of blindness worldwide, has its association with depression and anxiety noted, yet the understanding of such association is still rudimentary. This study aims to provide the unidirectional perspectives on the association of glaucoma with depression and anxiety, informing public health strategies. Methods: The Meta-analysis screened observational studies from Medline, Embase, and Web of Science, using the modified Newcastle-Ottawa Scale for quality assessment. It employed R's 'meta' package to assess the association between glaucoma and depression or anxiety prevalence. The Mendelian Randomization (MR) analysis was conducted using R's 'TwoSampleMR' package, based on data from the IEU database data to explore the impact of glaucoma on depression and anxiety. Results: This Meta-analysis included 23 out of 379 studies involving 11,845 glaucoma patients. The combined prevalence of depression among glaucoma patients, derived from 18 cross-sectional studies, stood at 19.42%. Five case-control studies indicated that glaucoma patients had a 6.17-fold higher risk of depression compared to controls. Derived from 16 cross-sectional studies, the consolidated prevalence for anxiety was 19.07%. According to five case-control studies, glaucoma patients exhibited a 4.45-fold increased risk of anxiety compared to controls. MR analysis failed to uncover a causal effect of glaucoma on depression and anxiety. Conclusion: This study suggests that glaucoma patients may experience higher prevalence of depression and anxiety than the general population, with no clear genetic links found. It suggests that environmental factors and non-genetic biological pathways, among others, may play significant roles in their association, though the role of genetic factors cannot be ruled out. These findings highlight the necessity of a comprehensive approach to study the complex factors influencing the association of glaucoma with depression or anxiety and underscore the importance of integrating mental health considerations into glaucoma management to improve medication adherence and disease progression. [ABSTRACT FROM AUTHOR]

As globalization and economic development accelerate, Chinese tea has emerged as an essential export commodity in the international market. China boasts abundant tea resources, which have significantly promoted economic growth through tea exports. This study analyses the relevant literature and the prevailing state of China's tea export trade. Using statistical data on tea exports and empirical research methodologies, this investigation examines the key determinants influencing the high-quality development of China's tea export sector. The research integrates relevant frontier theories from management science and engineering to propose tailored recommendations. The study reveals that while the industry has demonstrated robust economic growth, it is confronted with challenges such as the need for enhanced brand visibility and adherence to international quality benchmarks. The research findings highlight the positive influence of the "Belt and Road" initiative on the tea export trade, which advocates for strategic international collaboration. This study concludes with policy recommendations that underscore the importance of bolstering the international dissemination of Chinese tea culture, standardizing export practices, and fostering global cooperation to augment the industry's high-quality development trajectory. The findings aim to enhance the export capabilities of Chinese tea and foster the robust growth of the tea export industry. [ABSTRACT FROM AUTHOR]

Coix lacryma-jobi L. belongs to family Poaceae, is widely cultivated in tropical Asian countries for its nutritional and medicinal values. Coix is often threatened by lepidopteran such as Mythimna separata during its life cycle, resulting in severe yield reduction. Insect feeding can trigger defense signaling and increased defense responses in many other crops, yet little is known about whether simulated armyworm feeding on Coix leaves could induce anti-herbivory responses and whether armyworm feeding could activate priming in systemic leaves. In this study, Mythimna separata simulated herbivory elicited increased jasmonic acid (JA) level, JA-Ile (JA-isoleucine conjugate) and altered transcriptome in the Coix leaves. Meanwhile, M. separata simulated herbivory in local leaves primed the systemic leaves for increased accumulation of jasmonic acid and enhanced resistance to M. separata. Consistently, transcriptome analysis showed the systemic leaves were primed, which were up- or down-regulated comparing with the non-primed systemic leaves. In this study, we first reported Mythimna separata simulated herbivory induced increased defense response in leaves of Coix, also Mythimna separata herbivory primed Coix resistance in systemic leaves. This study provides new insight into the regulation of defense responses of Coix against M. separata and the ecological function of priming in Coix. [ABSTRACT FROM AUTHOR]

This study investigates the impact of digital economy development on urban export sophistication and its mechanisms. We use the chain mediation effect model to analyze the panel data of 281 cities in China from 2011 to 2017. The results show that the digital economy has a significant and positive impact on urban ES. There are two main influence paths. One promotes urban ES by accumulating human capital; the other stimulates technological innovation and further leads to urban ES. The "technological innovation effect" plays the most considerable mediating role among them. The heterogeneity test result shows that the digital economy impact is greater in western China than in eastern and central regions. We further show that the influence of the regional digital economy on urban ES presents an inverted U-shaped curve. Our paper provides guidance for promoting the construction of and the high-quality development of trade. [ABSTRACT FROM AUTHOR]

Introduction: Recently, moral distress in pediatric nursing has gained academic attention, yet comprehensive literature reviews on this group are scarce. Aims: This study aims to offer a detailed overview of moral distress among pediatric nurses, focusing on understanding its characteristics, prevalence, underlying causes, and consequences on the quality of patient care. Methods: Employing a scoping review approach as recommended by the Joanna Briggs Institute, this study will systematically search through PubMed, Scopus, Web of Science, APA PsycInfo, and CINAHL databases using specific search strategies. Titles, abstracts, and full texts will be independently screened by two reviewers according to the eligibility criteria. Relevant data will be extracted, categorized, and subjected to narrative synthesis to draw comprehensive insights. Conclusion: The anticipated findings of this study will shed light on the nature, frequency, and drivers of moral distress among pediatric nurses, along with its broader implications for healthcare practitioners, organizational practices, and patient care outcomes. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to assess the quality of randomized controlled trials (RCTs) that have reported the use of acupuncture for the treatment of post-stroke aphasia (PSA). Methods: We systematically searched PubMed, Embase, Cochrane Library, Web of Science, Chinese National Knowledge Infrastructure (CNKI), Wanfang data Information Site, and China Science and Technology Journal Database from January 2013 to June 2023. RCTs utilizing acupuncture as an intervention for the treatment of post-stroke aphasia were included in this study. The overall quality score (OQS) of RCTs was independently evaluated by two researchers using the Consolidated Standards for Reporting Trials (CONSORT) and the Standards for Reporting Interventions in Controlled Trials of Acupuncture (STRICTA) guidelines, with the agreement between researchers calculated using Cohen's kappa statistics. Results: In conclusion, we included 38 RCTs in this study. The median OQS of the 38 RCTs was 13 (minimum 8, maximum 20) based on the CONSORT statement. Out of all CONSORT items, 10 (27%) had a positive rate of greater than 80%, while 17 (46%) had a positive rate of less than 10%. The median OQS of the 38 RCTs was 12 (minimum 6, maximum 14) based on the STRICTA guideline. Within the STRICTA guideline, 6 items (35%) had a positive rate of greater than 80%, and 3 items (18%) had a positive rate of less than 10%. Most items based on the CONSORT and STRICTA guidelines were observed to have a perfect or good degree of agreement. Conclusions: The overall reporting quality of RCTs for acupuncture treatment of PSA was found to be suboptimal. Notably, the reporting quality of the STRICTA guideline is higher compared to the CONSORT statement. Therefore, strict adherence to both the CONSORT and STRICTA statements is recommended to enhance the quality of RCT reports on acupuncture treatment for post-stroke aphasia. [ABSTRACT FROM AUTHOR]

In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. First, a Dual-channel model is constructed by combining the AM (Attention Mechanism) and MLP. Subsequently, the GWO algorithm is used to optimize the number and the nodes of the hidden layer in the Dual-channel MLP-Attention model. Typical transformer faults are simulated using DDRTS (Digital Dynamic Real-Time Simulator) system. Experiments showed that the GWO- optimized method has an accuracy rate of 95.3%-96.7% in identifying the transformer faults. Compared with BP, SVM, MLP, and single-channel M-A models, the proposed method improved the accuracy by14.1%, 9.6%, 9.3%, and 3.3% respectively. This result indicates the rationality and effectiveness of the proposed method in transformer fault identification. [ABSTRACT FROM AUTHOR]

Wind power forecasting has complex nonlinear features and behavioral patterns across time scales, which is a severe test for traditional forecasting techniques. To address the multi-scale problem in wind power forecasting, this paper innovatively proposes an ultra-short-term forecasting model LFformer based on Legendre-Fourier, which firstly focuses on the important information in the input sequences by using the encoder-decoder architecture, and then scales the range of the original data with the Devlin normalization method, and then utilizes the Legendre polynomials to The data sequence is projected into a bounded dimensional space, the historical data is compressed using feature representation, then feature selection is performed using the low-rank approximation method of Fourier Transform, the prediction is inputted into the multilayer perceptron through the multi-scale mixing mechanism, and finally the results are outputted after back-normalization. The experimental results show that compared with the existing prediction methods, the model realizes the improvement of prediction accuracy and stability, especially in the ultra-short-term prediction scenario, with obvious advantages. The research results are not only valuable for improving the overall operational efficiency of the wind power system, but also help to enhance the stable operation of the power grid, which provides strong technical support and guarantee for wind power enterprises to improve the competitiveness of bidding for Internet access in the power market competition. [ABSTRACT FROM AUTHOR]

Objective: To explore the relationship between dietary flavonoids and bronchitis, emphysema and asthma. Method: A total of 11743 United States adults were extracted from the National Health and Nutrition Examination Survey (NHANES) in 2007–2008, 2009–2010 and 2017–2018. Of these, 47.7% were male and 52.3% female. Dietary flavonoid intake assessed using FDNNS and 24-hour dietary recall data. Inclusion of demographics (gender, age, education, family income), behavioral factors (BMI, smoking, drinking status, diet), chronic disease information (diabetes, hypertension) as covariates to eliminate confounding. Stepwise logistic regression was used to analyze the association between total dietary flavonoid intake and the risk of chronic respiratory disease. Weighted quantile sum regression (WQS) was used to analyze the association between 29 dietary flavonoids and the risk of chronic respiratory disease. Restricted cubic spline was used to analyze the dose-response relationship between dietary flavonoid intake and risk of chronic respiratory disease. Results: Stepwise logistic regression results showed that higher flavonoid intake in men was associated with a lower risk of CB and asthma (OR of CB: 0.55(0.31–0.97); OR of asthma: 0.72(0.52–0.99)), and WQS results showed a mixed health effect for total flavonoids and chronic respiratory tract in response to the 29 flavonoid fractions (OR of asthma: 0.97(0.94–0.99); OR of emphysema: 0.95(0.90–0.99)). Glycitein had the highest health contribution of 26.2% for emphysema; Eriodictyol had the highest health contribution of 32.13% for asthma, respectively. The RCS showed a dose-response relationship between flavonoids and respiratory tract health. The maximum dose for ingesting flavonoids to gain respiratory health benefits is 1500 mg/d. Conclusion: Higher dietary flavonoid intake was associated with lower chronic respiratory risk in adult U.S. men. Also 29 dietary flavonoid components have an overall health effect on respiratory health. Glycitein and Eriodictyol may have potential health effects on the respiratory system. 1500 mg/day may be the Tolerable Upper Intake Level of dietary flavonoids for respiratory health in U.S. adults. [ABSTRACT FROM AUTHOR]

Background: Depressive symptoms are common in adolescents, while its prevalence trend in adolescents is seldom reported. In addition, few studies focus on adolescents without depressive symptoms. This study aimed to reveal the trend and predictors of persistent depression/non-depression among Chinese adolescents over three-year period. Methods: Three-wave data were collected from T1 to T3 in a sample from six junior high schools in Shenzhen, China. The 20-item of Center for Epidemiologic Studies Depression Scale was used, with scoring ≥16 as depression. Results: Of all 1301 adolescents, 33.4%, 15.5% and 9.0% reported depressive symptoms at baseline, T2 and T3 respectively, while 66.6%, 47.7% and 39.6% reported non-depressive symptoms at three time-points. At the individual level, baseline positive identity and general positive youth development significantly increased persistent non-depression at T2 and T3. At the family level, baseline family harmony and communication consistently prevented persistent depression at T2 and T3, while family communication consistently promoted non-depression. At the school level, baseline awareness of no expectation from teacher and poor interpersonal relationship consistently increased persistent depression and prevented non-depression. Conclusions: The incidence of depression in adolescents aged 11–15 is not high. The rate of persistent non-depression is approximately 30% higher than that of persistent depression, and both have a downward trend over years. Positive youth development and healthy family function are protective factors of depression, while school maladjustment decreases persistent non-depression. During early adolescence, more attention should be paid to family function and school maladjustment to promote non-depression in adolescents from a new broader view. [ABSTRACT FROM AUTHOR]

Faced with the land use heterogeneity and trip distribution non-equilibrium along the corridor connecting urban district and rural area, the operation characteristics of the all-stop bus, the express bus and the shuttle bus running on the transportation corridor should be given full consideration, as well as the tradeoff between passenger trip cost and bus operation cost during the peak-hour period. In order to realize the reliable decision of bus resources configuration for urban-rural public transportation, a bi-objective programming model of multi-modal urban-rural bus operation scheme is established, where the decision variables include the departure frequency of different bus modals, the terminals of shuttle buses, and the stop scheme of express buses, under the constraints of departure interval, passenger volume, vehicle occupancy, section capacity usage and modal competition. To validate the feasibility of proposed optimization model, an urban-rural bus corridor from Rural Jasmine Ecological Park in Hanjiang District to West Xiangyang Bridge in Songqiao Town was chosen as a study case, and the operation organization scheme of three bus modals were solved by the mathematical solver Lingo using mixed integer programming. Meanwhile, the scheme differences under different subobjective weights were discussed, taking into account the uncertain passenger demand and operation supply. The result shows that the increase of passenger trip cost weight will increase the departure frequency of all three bus modals, while the increase of operation cost weight will decrease the total operating vehicles, but the stop frequency at middle stations for express buses will increase accordingly. Compared to the current operation scheme, the optimized scheme can greatly enhance the section capacity usage at a slight sacrifice of passenger trip time with fewer bus vehicles. [ABSTRACT FROM AUTHOR]

The dialysis dose, quantified as Kt, is conventionally scaled to the urea distribution volume (V) to calculate the Kt/V ratio as an indicator of dialysis adequacy. However, the body surface area (BSA) is recognized as a more accurate reflection of metabolic activity compared to V. This study presents evidence supporting the enhanced efficacy of the Kt/BSA ratio as an indicator of hemodialysis adequacy. The study population comprised 211 individuals undergoing hemodialysis, all of whom had Kt/V values determined. Body composition was assessed using bioimpedance techniques, and BSA was calculated employing the DuBois and DuBois formula. The ratio of V/BSA served as the conversion factor to derive Kt/BSA from the standard Kt/V. Participants were categorized by gender, and a comparative analysis was performed on dialysis-related parameters alongside body composition indicators. Concurrently, linear regression analysis was applied to Kt/V and Kt/BSA, as well as to pairs of V and BSA, to elucidate the relationships among these variables. The average Kt/V ratio was 1.50 with a standard deviation of 0.28. The Kt/V ratio was significantly higher in women (P < 0.01). Conversely, the Kt value, when not adjusted for body size, was significantly lower in women (P < 0.01). Upon scaling Kt to BSA to calculate Kt/BSA, the gender difference in dialysis dose adequacy was no longer statistically significant (P = 0.06). Men exhibited a significantly higher mean V/BSA ratio. Additionally, women had a slightly higher mean percentage of fat mass (P < 0.01). In contrast, women had a lower mean percentage of muscle mass (P < 0.01). Our findings suggest that the Kt/V ratio may underestimate the required hemodialysis dose for women. There was no gender difference when Kt scaling to BSA. Consequently, the Kt/BSA ratio, which accounts for body surface area, may play a significant role in more accurately scaling the hemodialysis dose. [ABSTRACT FROM AUTHOR]

Purpose: To develop a better radiomic model for the differential diagnosis of benign and lung adenocarcinoma lesions presenting as larger solid nodules and masses based on multiscale computed tomography (CT) radiomics. Materials and methods: This retrospective study enrolled 205 patients with solid nodules and masses from Center 1 between January 2010 and February 2022 and Center 2 between January 2019 and February 2022. After applying the inclusion and exclusion criteria, we retrospectively enrolled 165 patients from two centers and assigned them to the training dataset (n = 115) or the test dataset (n = 50). Radiomics features were extracted from volumes of interest on CT images. A gradient boosting decision tree (GBDT) was used for data dimensionality reduction to perform the final feature selection. Four models were developed using clinical data, conventional imaging features and radiomics features, namely, the clinical and image model (CIM), the plain CT radiomics model (PRM), the enhanced CT radiomics model (ERM) and the combined model (CM). Model performance was evaluated to determine the best model for identifying benign and lung adenocarcinoma presenting as larger solid nodules and masses. Results: In the training dataset, the areas under the curve (AUCs) for the CIM, PRM, ERM, and CM were 0.718, 0.806, 0.819, and 0.917, respectively. The differential diagnostic capability of the ERM was better than that of the PRM and the CIM. The CM was optimal. Intermediate and junior radiologists and respiratory physicians achieved improved obviously diagnostic results with the radiomics model. The senior radiologists showed slight improved diagnostic results after using the radiomics model. Conclusion: Radiomics may have the potential to be used as a noninvasive tool for the differential diagnosis of benign and lung adenocarcinoma lesions presenting as larger solid nodules and masses. [ABSTRACT FROM AUTHOR]

This article explores the estimation of Shannon entropy and Rényi entropy based on the generalized inverse exponential distribution under the condition of stepwise Type II truncated samples. Firstly, we analyze the maximum likelihood estimation and interval estimation of Shannon entropy and Rényi entropy for the generalized inverse exponential distribution. In this process, we use the bootstrap method to construct confidence intervals for Shannon entropy and Rényi entropy. Next, we select the gamma distribution as the prior distribution and apply the Lindley approximation algorithm to calculate 'estimates of Shannon entropy and Rényi entropy under different loss functions including Linex loss function, entropy loss function, and DeGroot loss function respectively. Afterwards, simulation is used to calculate estimates and corresponding mean square errors of Shannon entropy and Rényi entropy in GIED model. The research results show that under DeGroot loss function, estimation accuracy of Shannon entropy and Rényi entropy for generalized inverse exponential distribution is relatively high, overall Bayesian estimation performs better than maximum likelihood estimation. Finally, we demonstrate effectiveness of our estimation method in practical applications using a set of real data. [ABSTRACT FROM AUTHOR]

Objective: This study aims to systematically analyze the potential active components of Eucommiae cortex in the treatment of post- myocardial infarction heart failure through network analysis and molecular docking methods. In vitro experiments were conducted to verify that medioresinol, a component of Eucommiae cortex, improves oxygen-glucose deprivation-induced cell failure through its anti-inflammatory and antioxidant capacities. Methods: Potential active components of Eucommiae cortex were screened using specific data. The targets of these components were predicted using Swiss Institute of Bioinformatics database and TargetNet, and key targets were identified by intersecting with the disease targets of myocardial infarction and heart failure. Protein-Protein Interaction analysis was performed on the key targets to screen for core targets. Genomics Institute of the Novartis Research Foundation and Human Protein Atlas were used to identify myocardial highly expressed targets. Kyoto Encyclopedia of Genes and Genomes and Gene Ontology enrichment analyses were conducted using the Database for Annotation, Visualization, and Integrated Discovery. Molecular docking was performed for the final components and target proteins. In vitro experiments were carried out using H9c2 cells subjected to oxygen and glucose deprivation conditions to validate the effects of the screened potential active components. Results: Network analysis revealed that Eucommiae cortex might exert its effects through the phosphoinositide 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/AKT/mTOR), hypoxia-inducible factor 1, and Janus kinase/signal transducer and activator of transcription pathways, which are crucial for myocardial contraction, vascular tone regulation, inflammatory response, and oxidative stress. Molecular docking indicated stable binding of the selected compounds to PI3K, AKT, and mTOR. Medioresinol was selected for further study and shown to significantly improve oxidative stress and inflammatory response in myocardial ischemia-hypoxia model cells by activating the PI3K/AKT/mTOR pathway. Conclusion: This study confirms the role of the PI3K/AKT/mTOR pathway in the cardiovascular protective effects of Eucommiae cortex and provides evidence at the cellular level. Medioresinol demonstrated potential therapeutic effects on myocardial infarction induced heart failure by reducing oxidative stress and inflammatory responses. These findings offer a theoretical basis for the application of Eucommiae cortex in the treatment of heart failure and support the development of new therapeutic drugs for cardiovascular diseases. Future research should further validate these effects in animal models and explore the overall efficacy of Eucommiae cortex. [ABSTRACT FROM AUTHOR]

Background: The prognostic value of tumor deposits (TDs) in stage III colorectal cancer (CRC) patients is poorly described based on the current tumor node metastasis (TNM) stage system. Materials and methods: Based on the data from the Surveillance, Epidemiology, and End Result (SEER) database between 2010 to 2020 and local hospital between 2006 to 2022, the clinicopathological features of stage III CRC patients with TDs were screened by Chi-square test. Kaplan-Meier curves were performed to describe the significant difference in overall survival (OS) among the different groups, and log-rank tests were used to compare the cumulative survival distributions. Result: Patients with TDs exhibited more aggressive tumors, characterized by advanced T staging (T3&T4), N staging (N2), perineural invasion, and more advanced TNM stage. The presence of TDs was identified as a negative prognostic factor in stage III CRC patients, with the co-existence of TDs and lymph node metastasis associated the poorest prognosis. A pairwise comparison revealed no statistically significant difference between TD+N1a/b and N1c groups, while the OS of TD-LN+ (TD- N1a/b) patients was the most favorable within the N1 stage. Notably, patients with a single lymph node positive had a significantly better OS than those with a single TD positive. Conclusion: The presence of tumor deposits was a negative prognostic factor in stage III colorectal cancer patients, and the significance of tumor deposits was underestimated in the current TNM staging system. [ABSTRACT FROM AUTHOR]

This study uses numerical methods (ANSYS-Fluent) to investigate the viscous fingering of the displaced phase as a shear-thinning fluid in the classic three-dimensional Hele-Shaw cell. Comparing the behavior of fingerings with different properties on the upper and lower surfaces of a three-dimensional model, it was found that when the upper and lower surfaces are walls, under the combined action of moving contact lines and Saffman-Taylor instability, fingering splitting occurs at the tip, resulting in the appearance of two fingers at the interface. In addition, we have found that interfacial tension has a suppressive effect on short waves. As the interfacial tension increases, the velocity at the advancing tip decreases. Therefore, when the interface tension is 0, viscous fingering displacement reaches the farthest distance. We have also conducted research on the viscous fingering at different temperatures. The results indicate that increasing the temperature leads to a decrease in the viscosity of the displaced phase, making the flow more stable. As the temperature rises, the pressure gradient inside the flow path increases, pushing the viscous fingering further. [ABSTRACT FROM AUTHOR]

The objective of this study was to explore the potential causalities of fat mass, nonfat mass and height (henceforth, 'anthropometric measures') with sepsis risk and mortality. We conducted the Mendelian randomization (MR) investigation using genome-wide association study (GWAS) summary statistics of anthropometric measures, sepsis, and sepsis mortality. The GWAS summary data from the UK Biobank was used. Firstly, MR analysis was performed to estimate the causal effect of anthropometric measures on the risk of sepsis. The inverse-variance weighted (IVW) method was utilized as the primary analytical approach, together with weighted median-based method. Cochrane's Q test and MR-Egger intercept test were performed to assess heterogeneity and pleiotropy, respectively. Finally, we performed a series of sensitivity analyses to enhance the precision and veracity of our findings. The IVW method showed that genetically predicted weight-related measures were suggestively linked to an increased risk of sepsis. However, height displayed no causal association with sepsis risk and mortality. Furthermore, weight-related measures also displayed significant MR association with the sepsis mortality, except body nonfat mass and right leg nonfat mass. However, MVMR analysis indicated the observed effects for weight-related measures in the univariable MR analyses are more likely a bias caused by the interrelationship between anthropometric measures. According to the MR-Egger intercept assessment, our MR examination was not influenced by horizontal pleiotropy (all p>0.05). Moreover, the reliability of the estimated causal association was confirmed by the sensitivity analyses. In conclusion, these findings provided vital new knowledge on the role of anthropometric-related measures in the sepsis etiology. [ABSTRACT FROM AUTHOR]

The field of cryptography has grown significantly with the advent of information and communication technologies due to the increasing complexity of cyber threats and rising security requirements. This evolution has come with the creation of new cryptosystems and improvements to current ones. This study is the first to explore the RSA approach in the framework of t-intuitionistic fuzzy subgroups. This technique makes group-based cryptographic operations safer when there are unclear relationships and hesitations. This supports the complex and uncertain nature of subgroup membership, allowing for much more significant representations of the degrees of belonging, non-belonging, and hesitancy for the group elements along parameter 't'. The t-intuitionistic fuzzy RSA technique employs a t-intuitionistic fuzzy subgroup to address cryptosystem ambiguity, fuzziness, and imprecision. Consequently, inaccurate cryptographic data is more effectively represented, manipulated, and protected. Furthermore, this technique enhances the current level of fuzzy cryptography. The t-intuitionistic fuzzy RSA algorithms are of theoretical and practical value, as they significantly contribute towards developing fuzzy cryptography, fuzzy algebraic structures, and decision support systems. In this paper, the notions of t-intuitionistic fuzzy numbers and triangular t-intuitionistic fuzzy numbers are introduced. A new RSA cryptosystem based on a t-intuitionistic fuzzy subgroup is proposed in which the plaintext and the ciphertext are obtained in terms of t-intuitionistic fuzzy numbers and triangular t-intuitionistic fuzzy numbers. In addition, the significance of the concept of the t-intuitionistic fuzzy subgroup is highlighted as a suitable alternative tool to secure the data under consideration. In addition, the practical effect of the proposed methods is also investigated in this study. A mathematical mechanism is presented to implement the t-intuitionistic fuzzy RSA algorithm. Finally, a comparative analysis of the developed technique is presented with some existing methods to showcase the applicability and superiority of the recently developed method. [ABSTRACT FROM AUTHOR]

Background: Temperature prediction is crucial in the clinical ablation treatment of liver cancer, as it can be used to estimate the coagulation zone of microwave ablation. Methods: Experiments were conducted on 83 fresh ex vivo porcine liver tissues at two ablation powers of 15 W and 20 W. Ultrasound grayscale images and temperature data from multiple sampling points were collected. The machine learning method of random forests was used to train the selected texture features, obtaining temperature prediction models for sampling points and the entire ultrasound imaging area. The accuracy of the algorithm was assessed by measuring the area of the hyperechoic area in the porcine liver tissue cross-section and ultrasound grayscale images. Results: The model exhibited a high degree of accuracy in temperature prediction and the identification of coagulation zone. Within the test sets for the 15 W and 20 W power groups, the average absolute error for temperature prediction was 1.14°C and 4.73°C, respectively. Notably, the model's accuracy in measuring the area of coagulation was higher than that of traditional ultrasonic grey-scale imaging, with error ratios of 0.402 and 0.182 for the respective power groups. Additionally, the model can filter out texture features with a high correlation to temperature, providing a certain degree of interpretability. Conclusion: The temperature prediction model proposed in this study can be applied to temperature monitoring and coagulation zone range assessment in microwave ablation. [ABSTRACT FROM AUTHOR]

Polygonatum odoratum (Mill.) Druce is a well-known traditional Chinese herb belonging to the Polygonatum. However, the understanding of the genetic diversity of this species at the molecular level is limited due to the lack of transcriptomic and genomic information. In this study, 37,387 unigenes were assembled based on the transcriptome sequencing of the rhizome of Polygonatum odoratum (Mill.) Druce., and 11,021 single- sequence repeats (SSR) motifs, mainly consisting of single-nucleotide repeats (44.44%), dinucleotides (31.06%), and trinucleotides (22.59%), were identified. Based on these SSR motifs, 9,987 primer pairs of SSR markers were designed and 68 SSR markers were randomly selected for verification, of which 21 SSR markers showed polymorphisms among the 24 Polygonatum odoratum germplasms. Ninety-four alleles were detected: the observed alleles ranged from 2 to 11, the effective alleles varied from 1.086 8 to 4.916 8, the Shannon diversity index was 0.173 2~1.749 7, and the polymorphism information content PIC ranged from 0.076 7 to 0.803 9. Based on our analysis of genetic diversity (SSR genotypes) and population structure, we divided the 24 germplasm resources into two groups, indicating that the germplasm with similar geographical origins can be grouped together. In addition, the primers 'YZ14' and 'YZ47' could effectively distinguished the related species: Polygonatum kingianum Coll.et Hemsl., Polygonatum sibiricum Red., Polygonatum cyrtonema Hua, Polygonatum zanlanscianense Pamp. and Polygonatum odoratum (Mill.) Druce. This is the first study in which a dataset of expressed sequence tag (EST)-SSR markers is constructed for the Polygonatum odoratum (Mill.) Druce, and these newly developed EST-SSR markers provided a very efficient tool for genetic relationship analysis, species identification and marker-assisted selection breeding of Polygonatum odoratum (Mill.) Druce. [ABSTRACT FROM AUTHOR]

The revisit intention of tourists has long been a focal point of academic inquiry. However, there is still insufficient research on the antecedents of revisit intention from the perspectives of historical storytelling, destination image and perceived value. Taking the Mogao Grottoes in Dunhuang, a UNESCO World Heritage Site, as a case study, this paper, based on stimulus–organism–response (SOR) theory, examines the impact of historical storytelling on the destination image, perceived value, and revisit intention. Additionally, it further explores the mediating role of destination image and perceived value, as well as the moderating effect of place attachment in this chain. The research findings indicate that: (1) Historical storytelling significantly enhances tourists' perception of the tourism experience and revisit intention; (2) The study supports the mediating effect of destination image and perceived value; (3) Place attachment has a significant positive moderating effect between historical storytelling and revisit intention. Effective historical storytelling can significantly enhance destination image and perceived value, improve tourists' participation and satisfaction in tourism, stimulate revisit intention, and promote the sustainable development of tourist destinations. These findings enrich the research content of cultural heritage tourism, providing valuable suggestions for improving the management level of cultural heritage tourism attractions and increasing visitors' revisit intention. [ABSTRACT FROM AUTHOR]

Objectives: To synthesise and map the evidence of a theory- and evidence-based nursing intervention for the prevention of ICU-acquired weakness and evaluate its effectiveness in terms of the incidence of ICU-acquired weakness, incidence of delirium, and length of hospital stay. Methods: We searched PubMed, CINAHL, MEDLINE, Academic Search Complete, Embase, Scopus, Web of Science and the Cochrane Library from database inception to November 2023. The eligible studies focused on critically ill patients in the intensive care unit, used a theory- and evidence-based nursing intervention, and reported the incidence of ICU-acquired weakness and/or used the Medical Research Council Scale. The methodological quality of the included studies was critically appraised by two authors using the appropriate Joanna Briggs Institute appraisal tool for randomised controlled trials, quasi-experimental studies, and cohort studies. Additionally, the weighted kappa coefficient was used to assess inter-rater agreement of the quality assessment. Data were reported using a narrative synthesis. This systematic review was registered by the International Prospective Register of Systematic Review (PROSPERO; CRD42023477011). Results: A total of 5162 studies were initially retrieved, and 9 studies were eventually included after screening. This systematic review revealed that preventive nursing interventions for ICU-acquired weakness mainly include (a) physiotherapy, including neuromuscular electrical stimulation and early rehabilitation, and (b) nutritional support. In addition, (c) airway management, (d) sedation and analgesia management, (e) complication prevention (delirium, stress injury and deep vein thrombosis prevention), and (f) psychological care were also provided. The theories are dominated by goal-oriented theories, and the evidence is mainly the ABCDE bundle in the included studies. The results show that theory- or evidence-based nursing interventions are effective in reducing the incidence of ICU-acquired weakness (or improving the Medical Research Council Scale scores), decreasing the incidence of delirium, shortening the length of hospital stay, and improving patients' self-care and quality of life. Conclusion: Theory- and evidence-based nursing interventions have good results in preventing ICU-acquired weakness in critically ill patients. Current nursing interventions favour a combination of multiple interventions rather than just a single intervention. Therefore, preventive measures for ICU-acquired weakness should be viewed as complex interventions and should be based on theory or evidence. This systematic review is based on a small number of trials. Thus, more high-quality randomised controlled trials are needed to draw definitive conclusions about the impact of theory- and evidence-based nursing interventions on the prevention of ICU-acquired weakness. [ABSTRACT FROM AUTHOR]

The reform of rural collective property rights is pivotal in advancing agricultural modernization and comprehensive rural revitalization. This study aims to explore the impact of this reform on income growth and poverty reduction in rural areas, as well as its underlying mechanisms. Utilizing data from the China Rural Revitalization Survey (CRRS), the propensity score matching (PSM) method was employed to empirically analyze the effects of rural collective property rights reform on income growth and poverty reduction. The findings reveal that the reform has a significant positive impact on rural income levels, indirectly enhancing income through two channels: increasing village collective assets and promoting land transfer. Additionally, the reform has a significant negative impact on rural poverty levels, effectively alleviating poverty in rural areas. Heterogeneity analysis further reveals the differential effects of property rights reform, indicating that non-poor villages, villages with higher educational levels among village leaders, and rural areas in the western regions benefit more from the reform. This study provides precise evidence for policymakers, offering a scientific basis for deepening rural collective property rights reform, promoting income growth, and fostering sustainable rural development. [ABSTRACT FROM AUTHOR]

Studies demonstrate that Tropheryma whipplei (T. whipplei) is present in the lungs of healthy individuals without acute respiratory symptoms or acute respiratory infection and is more common in the lungs of HIV-infected individuals and in smokers. The impact of T. whipplei colonization in the lung on local inflammation and pulmonary dysfunction in HIV-infected individuals is currently unknown. In this study, we performed specific polymerase chain reaction (PCR) and sequencing for T. whipplei in bronchoalveolar lavage (BAL) and induced sputum (IS) samples in 76 HIV-infected participants from three clinical sites. Pulmonary function and proinflammatory cytokine and chemokine levels in BAL were measured. Frequency of T. whipplei in either BAL or IS was 43.4%. The sensitivity and specificity of IS compared to BAL for detection of T. whipplei was 92.3% and 84.2%, respectively, and isolates of T. whipplei in the BAL and IS in the same subject shared genetic identity. Pulmonary function measures were not associated with T. whipplei colonization, and proinflammatory cytokine and chemokine levels in BAL and plasma as well as percentages of inflammatory cells in BAL and IS were not higher in colonized individuals. Overall, these results indicate that T. whipplei colonization in the lung is common, but may not be associated with decreased pulmonary function or inflammation in HIV-infected individuals.

In life cycle assessment (LCA), performing Monte Carlo simulation (MCS) using fully dependent sampling typically involves repeated inversion of a technology matrix for a sufficiently large number of times. As the dimension of technology matrices for life cycle inventory (LCI) databases grows, MCS using fully dependent sampling is becoming a computational challenge. In our previous work, we pre-calculated the distribution functions of the entire LCI flows in the ecoinvent ver. 3.1 database to help reduce the computation time of running fully dependent sampling by individual LCA practitioners. However, it remains as a question whether the additional errors due to the use of pre-calculated uncertainty values are large enough to alter the conclusion of a comparative study, and, if so, what is the odds of such cases. In this study, we empirically tested the probability of altering the conclusion of a comparative LCA due to the use of pre-calculated uncertainty values. We sampled 10,000 random pairs of elementary flows of ecoinvent LCIs (ai and bi) and ran MCSs (1) using pre-calculated uncertainty values and (2) using fully dependent sampling. We analyzed the distribution of the differences between ai and bi (i.e., ai-bi) of each run, and quantified the probability of reversing (e.g., ai > bi became ai < bi) or moderating the conclusion (e.g., ai > bi became ai ≈ bi). In order to better replicate the situation under a comparative LCA setting, we also sampled 10,000 random pairs of elementary flows from the processes that produce electricity, and repeated the same procedure. The results show that no LCIs derived using pre-calculated uncertainty values constitute large enough differences from those using fully dependent sampling to reverse the conclusion. However, in 5.3% of the cases, the conclusion from one approach is moderated under the other approach or vice versa. When elementary flow pairs are sampled only from the electricity-producing processes, the probability of moderating the conclusions increases to 10.5%, while that of reversing the conclusions remains nil. As the number of unit processes in LCI databases increases, running full MCSs in a PC-environment will continue to be a challenge, which may lead some LCA practitioners to avoid uncertainty analysis altogether. Our results indicate that pre-calculated distributions for LCIs can be used as a proxy for comparative LCA studies in the absence of adequate computational resources for full MCS. Depending on the goal and scope of the study, LCA practitioners should consider using pre-calculated distributions if the benefits of doing so outweighs the associated risks of altering the conclusion.

BackgroundWorkplace violence is a widely-reported phenomenon among healthcare providers and negatively affects quality of care and treatment. This study aims to understand the potential factors related to HCV through the experiences of women who have undergone a pregnancy termination due to fetal anomaly.MethodsQualitative interview was used to collect data in this case study. Forty-one pregnant women who decided to terminate their pregnancy due to fetal anomaly were recruited from four Chinese hospital facilities, including three general hospitals and one specialty hospital in Changsha, Hunan, China. In-depth interviews were conducted from May to September 2017. Content analysis was used to analyze the data.ResultsSeveral potential factors related to violence in healthcare facilities were identified, including preventive factors, which possibly relieve healthcare violence; and negative experiences, which potentially related to healthcare violence. Preventive factors include healthcare providers gaining patient trust with detailed observation, expressing patient-centered care through discreet behavior, and showing patience and professionalism. Factors related to violence include busy work schedules, hurried visits, mechanized process, patients' scant medical knowledge and mental distress.ConclusionsThis study highlights potential factors related to healthcare violence. The results will be submitted to the Chinese government's policy making department in order to improve the healthcare system. We also suggest several important strategies to prevent HCV in a healthcare setting, both in China and globally.