PsyAttention: Psychological Attention Model for Personality Detection

Work on personality detection has tended to incorporate psychological features from different personality models, such as BigFive and MBTI. There are more than 900 psychological features, each of which is helpful for personality detection. However, when used in combination, the application of different calculation standards among these features may result in interference between features calculated using distinct systems, thereby introducing noise and reducing performance. This paper adapts different psychological models in the proposed PsyAttention for personality detection, which can effectively encode psychological features, reducing their number by 85%. In experiments on the BigFive and MBTI models, PysAttention achieved average accuracy of 65.66% and 86.30%, respectively, outperforming state-of-the-art methods, indicating that it is effective at encoding psychological features

Prediction of upcoming urinary tract infection after intracerebral hemorrhage: a machine learning approach based on statistics collected at multiple time points

PurposeAccurate prediction of urinary tract infection (UTI) following intracerebral hemorrhage (ICH) can significantly facilitate both timely medical interventions and therapeutic decisions in neurocritical care. Our study aimed to propose a machine learning method to predict an upcoming UTI by using multi-time-point statistics.MethodsA total of 110 patients were identified from a neuro-intensive care unit in this research. Laboratory test results at two time points were chosen: Lab 1 collected at the time of admission and Lab 2 collected at the time of 48 h after admission. Univariate analysis was performed to investigate if there were statistical differences between the UTI group and the non-UTI group. Machine learning models were built with various combinations of selected features and evaluated with accuracy (ACC), sensitivity, specificity, and area under the curve (AUC) values.ResultsCorticosteroid usage (p < 0.001) and daily urinary volume (p < 0.001) were statistically significant risk factors for UTI. Moreover, there were statistical differences in laboratory test results between the UTI group and the non-UTI group at the two time points, as suggested by the univariate analysis. Among the machine learning models, the one incorporating clinical information and the rate of change in laboratory parameters outperformed the others. This model achieved ACC = 0.773, sensitivity = 0.785, specificity = 0.762, and AUC = 0.868 during training and 0.682, 0.685, 0.673, and 0.751 in the model test, respectively.ConclusionThe combination of clinical information and multi-time-point laboratory data can effectively predict upcoming UTIs after ICH in neurocritical care

The selection of a surfactant for freshwater microalgae harvesting and separation by the foam separation method

Abstract(#br)Collecting microalgae from water with less energy and cost is significant to gain economic profit from microalgae harvesting and processing. Foam separation has certain advantages including low energy consumption, simple operation and easy maintenance of the equipment. Natural surfactants, compared to traditional surfactants, were used to harvest and separate the freshwater microalgae Desmodesmus brasiliensis by foam separation. Results showed a recovery percentage of 93.6% and an enrichment ratio of 23.1 with the natural surfactant cocamidopropyl betaine (CAPB), suggesting that this low-cost surfactant can be applied to microalgae biomass recovery on a commercial scale using foam separation with no negative effect on the content of microalgae chlorophyll, carotenoid or..

Application of speaking valves in adult patients with tracheostomy: a protocol for a systematic review and meta-analysis

Introduction Tracheostomy is a common emergency procedure for critically ill patients to secure their airway. The speaking valve is a one-way ventilation valve that is attached to the end of the tracheostomy tube to help the patient remodel subglottic pressure. However, the efficacy and safety of speaking valves in adult patients with tracheostomy remain controversial. The purpose of this protocol is to describe and evaluate the effectiveness, safety and impact on the quality of life of speaking valves in adult patients with tracheostomy.Methods and analysis We will search four English databases (PubMed, Embase, Cochrane Library and Web of Science), grey literature websites and reference lists of original studies to screen for studies that might meet the criteria. The two authors will independently screen the literature, extract data and assess the quality and risk of bias of the included studies. The primary outcomes will focus on the patients’ swallowing function, vocalisation and quality of life. We will use a fixed effects model or a random effects model based on heterogeneity testing or a descriptive analysis only. The quality of evidence on the effects of interventions will be assessed using the Grading of Recommendations Assessment, Development, and Evaluation.Ethics and dissemination This study is based on the literature in the database and does not require the approval of the ethics committee. The results will be disseminated through a peer-reviewed journal and conferences.PROSPERO registration number CRD42024502906

The separation of microscale HA in aqueous solution by foam separation technique

Hyaluronic acid (HA) has important applications in fields of health care products, cosmetics and clinical medical. However, the unique physiological properties of HA make cost of its traditional separation and extraction process relatively high. Foam separation technique has simple, gentle and efficient advantages on the separation of substances with surface activity by using bubbles as the separation medium. In this paper, natural surfactant CocamideBetaine (CAPB) was used as a foaming agent to explore the technology of microscale HA in aqueous solution by foam separation. The optimum process conditions were determined based on the recovery rate and enrichment ratio of HA by single factor and orthogonal experiment: at room temperature, pH = 7, separating air velocity (v) = 350 mL/min, HA concentration (CHA) = 50 mg/L, adding liquid volume (V) = 200 mL, collecting time (tcol) = 10 min, CAPB concentration (CCAPB) = 0.035 g/L. Under these conditions, HA enrichment ratio (E) equals 6.821 and HA recovery rate (R) equals 66.425%

The separation of microscale HA in aqueous solution by foam separation technique

Hyaluronic acid (HA) has important applications in fields of health care products, cosmetics and clinical medical. However, the unique physiological properties of HA make cost of its traditional separation and extraction process relatively high. Foam separation technique has simple, gentle and efficient advantages on the separation of substances with surface activity by using bubbles as the separation medium. In this paper, natural surfactant CocamideBetaine (CAPB) was used as a foaming agent to explore the technology of microscale HA in aqueous solution by foam separation. The optimum process conditions were determined based on the recovery rate and enrichment ratio of HA by single factor and orthogonal experiment: at room temperature, pH = 7, separating air velocity (v) = 350 mL/min, HA concentration (CHA) = 50 mg/L, adding liquid volume (V) = 200 mL, collecting time (tcol) = 10 min, CAPB concentration (CCAPB) = 0.035 g/L. Under these conditions, HA enrichment ratio (E) equals 6.821 and HA recovery rate (R) equals 66.425%

Fast Matching Method of UAV Aerial Photography Enhanced Low Illumination Image

Aiming at the problems of insufficient image contrast in three-dimensional reconstruction of UAV in low illumination environment and the unstable iteration times of the RANSAC algorithm in the feature matching process, real-time matching method of UAV aerial image is proposed. First, a new image enhancement algorithm is applied to the image to enhance its quality and visibility. Second, the enhanced fast algorithm in ORB extracts the feature points from the preprocessed image, and cross-matching performs rough matching. Finally, the PROSAC algorithm solves the homography matrix by selecting the highest quality interior points from the extracted feature points. To improve the matching accuracy, some exterior points that do not conform to the geometric characteristics of the image are removed based on the homography matrix and the set mismatch threshold. The results show that the improved ORB algorithm is applied to the low illumination environment of UAV aerial photography, the image matching accuracy in 3D reconstruction is improved, and the correct matching rate tends to 97.24~99.39%. The relevant research findings and conclusions provide a fast and effective method for UAV image matching in different low illumination environments

Iron Metabolic Biomarkers and the Mortality Risk in the General Population: A Nationwide Population-Based Cohort Study——Supplemental Materials

Table S1. Quartiles according to baseline SF and TSAT levels in the general population and stratified by diabetesTable S2. Sensitivity analysis: HRs (95% CIs) for mortality according to quartiles of serum ferritin among individuals, after excluding participants whose outcome occurred during the first 3 years of follow-up in NHANES III and NHANES 1999-2010Table S3. HRs (95% CIs) for mortality according to quartiles of serum ferritin among women in NHANES III and NHANES 1999-2010Table S4. HRs (95% CIs) for mortality according to quartiles of serum ferritin among men in NHANES III and NHANES 1999-2010Table S5. HRs (95% CIs) for mortality according to quartiles of serum ferritin among participants with 3 years of follow-upTable S6. HRs (95% CIs) for mortality according to quartiles of serum ferritin among participants with 10 years of follow-upTable S7. HR and 95% CI for all-cause and cause-specific mortality according to Serum ferritin stratified by DMTable S8. Sensitivity analysis: HRs (95% CIs) for mortality according to quartiles of Transferrin saturation among individuals, after excluding participants whose outcome occurred during the first 3 years of follow-up in NHANES III and NHANES 1999-2010Table S9. HRs (95% CIs) for mortality according to quartiles of transferrin saturation among women in NHANES III and NHANES 1999-2010Table S10. HRs (95% CIs) for mortality according to quartiles of transferrin saturation among men in NHANES III and NHANES 1999-2010Table S11. HRs (95% CIs) for mortality according to quartiles of transferrin saturation among participants with 3 years of follow-upTable S12. HRs (95% CIs) for mortality according to quartiles of transferrin saturation among participants with 10 years of follow-upTable S13. HR and 95% CI for all-cause and cause-specific mortality according to Transferrin saturation stratified by DMFigure S1 Flow chart of the screening process for the selection of eligible participants in NHANESIII and NHANES 1999-2010Figure S2. Association relationships between SF and risk of all-cause and cause-specific mortality stratified by sex.Figure S3. Association relationships between TSAT and risk of all-cause and cause-specific mortality stratified by sex.</p