Original Article Phase II clinical trial of palonosetron combined with tropisetron in preventing chemotherapy-induced nausea and vomiting

Abstract: The purpose of the study was to evaluate the efficacy and toxicity of palonosetron combined with tropisetron in preventing chemotherapy-induced nausea and vomiting. A total of 82 non-small cell lung cancer patients undergoing Docetaxel combined with Cisplatin were randomly divided into group A and group B. The patients were received palonosetron combined with tropisetron (group A, n = 42) or tropisetron alone (group B, n = 40) before initiation of chemotherapy. The nausea degree, antiemetic efficacy and safety after chemotherapy were evaluated. Patients were administered for rescue therapy if needed. Results showed no significant difference in complete remission rate (CRR) during acute phase (0-24 h post chemotherapy) between group A and group B (90.48% versus 75%, P > 0.05). The CRR of group A during delayed (24-120 h post chemotherapy) and overall phases (0-120 h post chemotherapy) were 83.33% and 78.57%, higher than group B (50% and 42.50%, P < 0.05). AS for the improvement rate of nausea during delayed phase, group A is better than group B (57.14% versus 35%, P < 0.05). The adverse drug reactions of two groups were mild and generally well tolerated, including headache, constipation and abdominal distension, and no statistically significant differences were observed. In conclusions, compared to tropisetron alone, the therapy of palonosetron plus tropisetron is more effective and safer in controlling of nausea and vomiting induced by high emetic risk chemotherapy

Psychometric Properties of the Chinese-Language Attitude toward Physical Activity Scale: A Confirmatory Study on Chinese Children.

peer reviewedBackground: This study examined the psychometric properties of the Chinese version of the Attitude toward Physical Activity Scale (APAS) using a cross-sectional design. Methods: The sample consisted of 692 primary students in China (boy 52.6%, girl 47.4%). The mean age of the participants was 9.4 years (SD = 0.92). Psychometric properties of the 57-item APAS was examined using confirmatory factor analysis (CFA). Results: The hypothesized seven factors model was supported by CFA (CFI = 0.912, TLI = 0.901, SRMR = 0.041, RMSEA = 0.029) after 22 items were removed and the inclusion of seven residual covariance for items loaded on the same factor. Cronbach's alphas of the scales ranged between 0.50 and 0.76. The composite reliability (CR) was between 0.50 and 0.75. All inter-factor correlation coefficient was less than 0.85. Conclusions: Findings provided empirical evidence that the Chinese version of the APAS has adequate psychometric properties for assessing attitudes of primary school children in China toward physical activity

Genome-Wide Association Study of Lung Adenocarcinoma in East Asia and Comparison With a European Population

Lung adenocarcinoma is the most common type of lung cancer. Known risk variants explain only a small fraction of lung adenocarcinoma heritability. Here, we conducted a two-stage genome-wide association study of lung adenocarcinoma of East Asian ancestry (21,658 cases and 150,676 controls; 54.5% never-smokers) and identified 12 novel susceptibility variants, bringing the total number to 28 at 25 independent loci. Transcriptome-wide association analyses together with colocalization studies using a Taiwanese lung expression quantitative trait loci dataset (n = 115) identified novel candidate genes, including FADS1 at 11q12 and ELF5 at 11p13. In a multi-ancestry meta-analysis of East Asian and European studies, four loci were identified at 2p11, 4q32, 16q23, and 18q12. At the same time, most of our findings in East Asian populations showed no evidence of association in European populations. In our studies drawn from East Asian populations, a polygenic risk score based on the 25 loci had a stronger association in never-smokers vs. individuals with a history of smoking (Pinteraction = 0.0058). These findings provide new insights into the etiology of lung adenocarcinoma in individuals from East Asian populations, which could be important in developing translational applications

Genome-wide association study of lung adenocarcinoma in East Asia and comparison with a European population

Lung adenocarcinoma is the most common type of lung cancer. Known risk variants explain only a small fraction of lung adenocarcinoma heritability. Here, we conducted a two-stage genome-wide association study of lung adenocarcinoma of East Asian ancestry (21,658 cases and 150,676 controls; 54.5% never-smokers) and identified 12 novel susceptibility variants, bringing the total number to 28 at 25 independent loci. Transcriptome-wide association analyses together with colocalization studies using a Taiwanese lung expression quantitative trait loci dataset (n = 115) identified novel candidate genes, including FADS1 at 11q12 and ELF5 at 11p13. In a multi-ancestry meta-analysis of East Asian and European studies, four loci were identified at 2p11, 4q32, 16q23, and 18q12. At the same time, most of our findings in East Asian populations showed no evidence of association in European populations. In our studies drawn from East Asian populations, a polygenic risk score based on the 25 loci had a stronger association in never-smokers vs. individuals with a history of smoking (P interaction  = 0.0058). These findings provide new insights into the etiology of lung adenocarcinoma in individuals from East Asian populations, which could be important in developing translational applications

Genome-wide association study of lung adenocarcinoma in East Asia and comparison with a European population.

Lung adenocarcinoma is the most common type of lung cancer. Known risk variants explain only a small fraction of lung adenocarcinoma heritability. Here, we conducted a two-stage genome-wide association study of lung adenocarcinoma of East Asian ancestry (21,658 cases and 150,676 controls; 54.5% never-smokers) and identified 12 novel susceptibility variants, bringing the total number to 28 at 25 independent loci. Transcriptome-wide association analyses together with colocalization studies using a Taiwanese lung expression quantitative trait loci dataset (n = 115) identified novel candidate genes, including FADS1 at 11q12 and ELF5 at 11p13. In a multi-ancestry meta-analysis of East Asian and European studies, four loci were identified at 2p11, 4q32, 16q23, and 18q12. At the same time, most of our findings in East Asian populations showed no evidence of association in European populations. In our studies drawn from East Asian populations, a polygenic risk score based on the 25 loci had a stronger association in never-smokers vs. individuals with a history of smoking (Pinteraction = 0.0058). These findings provide new insights into the etiology of lung adenocarcinoma in individuals from East Asian populations, which could be important in developing translational applications

Advancing Shallow Water Bathymetry Estimation in Coral Reef Areas via Stacking Ensemble Machine Learning Approach

Satellite-derived bathymetry technology plays a pivotal role in estimating shallow water depths. Although traditional machine learning (ML) models are extensively applied in water depth inversion, they frequently exhibit inconsistent performance across various environments, highlighting the challenge of constructing a model with high precision and robustness. This study proposed an innovative stacking ensemble ML (SEML) model, integrating the advantages of various mainstream ML algorithms to address this challenge. We evaluated the bathymetric performance of the SEML model by combining multitemporal Sentinel-2 imagery and sonar data from Houteng Reef and Wufang Reef in the Spratly Islands. The findings showed the performance rankings of these models at Houteng Reef were SEML, K-nearest neighbor (KNN), support vector machine (SVM), multilayer perceptron (MLP), and RF, while at Wufang Reef, they shifted to SEML, SVM, MLP, KNN, and RF. By contrast, the SEML outperformed traditional ML models in accuracy and robustness. At Houteng Reef, the SEML achieved an RMSE of 0.46 m, representing a 13.21% decrease compared to KNN. Similarly, at Wufang Reef, the RMSE of the SEML model was 0.75 m, achieving a 5.06% decrease compared to SVM. The SEML model significantly enhances the accuracy and robustness of water depth estimation, providing a new perspective for accurately mapping coral reef bathymetry

Force-Driven Model for Automated Clear Aligner Staging Design Based on Stepwise Tooth Displacement and Rotation in 3D Space

This study introduced a novel force-driven automated staging design method for clear aligners, aimed at enhancing treatment planning efficiency and outcomes. The method simplified the alignment process into a force-driven mechanics model that calculates forces and moments exerted on teeth while adhering to Newton’s third law, determining their displacement and rotation at each position. An optimal path was generated by iteratively moving teeth from their initial to target positions and subsequently divided into stages based on a predefined step size. The algorithm was implemented in C++ and incorporated into the WebGL-based SmarteeCheck3.0 software for visualization. In a maxillary extraction case, the automated staging method (0.25 mm step size) generated 51 stages in merely 5 s, while manual staging (>0.25 mm step size) necessitated 30 min to achieve 55 stages. In a molar distalization case, the automated method demonstrated similar efficiency advantages, generating 30 stages for the maxilla and 34 for the mandible, compared to 41 stages each in manual staging. The automated staging approach yielded shorter and more precise tooth movement paths that adhered to aligner biomechanics and physical principles, surpassing the limitations of manual staging. For cases requiring entire arch displacement, the method incorporated sequential movements with anchorage control to maintain force equilibrium. This innovative method substantially improved design efficiency and accuracy, ultimately elevating the efficacy of clear aligner therapy, although further biomechanical analyses and experimental validations are needed to refine the model parameters