Revealing the Heterogeneous Bubble Nucleation at Individual Silica Nanoparticles.

Deep understanding of the bubble nucleation process is universally important in systems, from chemical engineering to materials. However, due to its nanoscale and transient nature, effective probing of nucleation behavior with a high spatiotemporal resolution is prohibitively challenging. We previously reported the measurement of a single nanobubble nucleation at a nanoparticle using scanning electrochemical cell microscopy, where the bubble nucleation and formation were inferred from the voltammetric responses. Here, we continue the study of heterogeneous bubble nucleation at interfaces by regulating the local nanostructures using silica nanoparticles with a distinct surface morphology. It is demonstrated that, compared to the smooth spherical silica nanoparticles, the raspberry-like nanoparticles can further significantly reduce the nucleation energy barrier, with a critical peak current about 23% of the bare carbon surfaces. This study advances our understanding of how surface nanostructures direct the heterogeneous nucleation process and may offer a new strategy for surface engineering in gas involved energy conversion systems.

Salidroside inhibits the ferroptosis to alleviate lung ischemia reperfusion injury via the JAK2/STAT3 signalling pathway.

OBJECTIVE: The present study aims to investigate the protective potential of salidroside in both lung ischemia/reperfusion injury (LIRI) mice model and cell hypoxia/reoxygenation (H/R)model and the involvement of ferroptosis and JAK2/STAT3 pathway. MATERIALS AND METHODS: After we established the IR-induced lung injury model in mice, we administered salidroside and the ferroptosis inhibitor, ferrostatin-1, then assessed the lung tissue injury, ferroptosis (levels of reactive oxygen species level, malondialdehyde and glutathione), and inflammation in lung tissues. The levels of ferroptosis-related proteins (glutathione peroxidase 4, fibroblast-specific protein 1, solute carrier family 1 member 5 and glutaminase 2) in the lung tissue were measured with Western blotting. Next, BEAS-2B cells were used to establish an H/R cell model and treated with salidroside or ferrostatin-1 before the cell viability and the levels of lactate dehydrogenase (LDH), inflammatory factor, ferroptosis-related proteins were measured. The activation of the JAK2/STAT3 signaling pathway was measured with Western blotting, then its role was confirmed with STAT3 knockdown. RESULTS: Remarkably, salidroside was found to alleviate ferroptosis, inflammation, and lung injury in LIRI mice and the cell injury in H/R cell model. Severe ferroptosis were observed in LIRI mice models and H/R-induced BEAS-2B cells, which was alleviated by salidroside. Furthermore, salidroside could inhibit JAK2/STAT3 activation induced by LIRI. STAT3 knockdown could enhance the effect of salidroside treatment on H/R-induced cell damage and ferroptosis in vitro. CONCLUSIONS: Salidroside inhibits ferroptosis to alleviate lung ischemia reperfusion injury via the JAK2/STAT3 signaling pathway.

Comparison of Short-Term Outcomes After Robotic Versus Laparoscopic Radical Gastrectomy for Advanced Gastric Cancer in Elderly Individuals: A Propensity Score-Matching Study.

BACKGROUND: Robotic gastrectomy (RG) has been widely used to treat gastric cancer. However, whether the short-term outcomes of robotic gastrectomy are superior to those of laparoscopic gastrectomy (LG) for elderly patients with advanced gastric cancer has not been reported. METHODS: The study enrolled of 594 elderly patients with advanced gastric cancer who underwent robotic or laparoscopic radical gastrectomy. The RG cohort was matched 1:3 with the LG cohort using propensity score-matching (PSM). RESULTS: After PSM, 121 patients were included in the robot group and 363 patients in the laparoscopic group. Excluding the docking and undocking times, the operation time of the two groups was similar (P = 0.617). The RG group had less intraoperative blood loss than the LG group (P < 0.001). The time to ambulation and first liquid food intake was significantly shorter in the RG group than in the LG group (P < 0.05). The incidence of postoperative complications did not differ significantly between the two groups (P = 0.14). Significantly more lymph nodes were dissected in the RG group than in the LG group (P = 0.001). Postoperative adjuvant chemotherapy was started earlier in the RG group than in the LG group (P = 0.02). CONCLUSIONS: For elderly patients with advanced gastric cancer, RG is safe and feasible. Compared with LG, RG is associated with less intraoperative blood loss; a faster postoperative recovery time, allowing a greater number of lymph nodes to be dissected; and earlier adjuvant chemotherapy.

Self-assembly of amphiphilic asymmetric comb-like copolymers with responsive rigid side chains.

Amphiphilic asymmetric comb-like copolymers (AACCs) exhibit distinct self-assembly behaviours due to their unique architecture. However, the synthetic difficulties of well-defined AACCs have prohibited a systematic understanding of the architecture-morphology relationship. In this work, we conducted dissipative particle dynamics simulations to investigate the self-assembly behaviours of AACCs with responsive rigid side chains in selective solvents. The effects of side chain length, number of branches, and spacers on the morphology of aggregates were investigated by mapping out morphology diagrams. Besides, the numbers and surface areas of aggregates clearly depicted the morphological transitions during the self-assembly process. Moreover, the rod-to-coil conformation transitions were simulated to explore the stimuli-responsive behaviour of the AACCs with responsive rigid side chains by adjusting the bond angle parameter of the rigid chains. The results indicated that without the support of the rigid chains, the assembly structure collapsed, leading to the tube-to-channelized micelles and one-compartment-to-multicompartment vesicle morphology transformations. The simulation results are consistent with earlier experimental results, which can provide theoretical guidance for assembly toward desired nanostructures.

Computational Chemistry in Structure-Based Solute Carrier Transporter Drug Design: Recent Advances and Future Perspectives.

Solute carrier transporters (SLCs) are a class of important transmembrane proteins that are involved in the transportation of diverse solute ions and small molecules into cells. There are approximately 450 SLCs within the human body, and more than a quarter of them are emerging as attractive therapeutic targets for multiple complex diseases, e.g., depression, cancer, and diabetes. However, only 44 unique transporters (∼9.8% of the SLC superfamily) with 3D structures and specific binding sites have been reported. To design innovative and effective drugs targeting diverse SLCs, there are a number of obstacles that need to be overcome. However, computational chemistry, including physics-based molecular modeling and machine learning- and deep learning-based artificial intelligence (AI), provides an alternative and complementary way to the classical drug discovery approach. Here, we present a comprehensive overview on recent advances and existing challenges of the computational techniques in structure-based drug design of SLCs from three main aspects: (i) characterizing multiple conformations of the proteins during the functional process of transportation, (ii) identifying druggability sites especially the cryptic allosteric ones on the transporters for substrates and drugs binding, and (iii) discovering diverse small molecules or synthetic protein binders targeting the binding sites. This work is expected to provide guidelines for a deep understanding of the structure and function of the SLC superfamily to facilitate rational design of novel modulators of the transporters with the aid of state-of-the-art computational chemistry technologies including artificial intelligence.

Determination of a cut-off COmprehensive Score for financial Toxicity (COST) for identifying cost-related treatment nonadherence and impaired health-related quality of life among Chinese patients with cancer.

PURPOSE: This study aimed to determine a cut-off for the simplified Chinese version of the COmprehensive Score for financial Toxicity (COST) that could identify cost-related treatment nonadherence among Chinese patients with cancer. The study also sought to validate this cut-off score by using it to assess impaired health-related quality of life (HRQoL) in the same population. METHODS: A secondary analysis was conducted using data from a cross-sectional survey of 1208 Chinese patients with cancer who were recruited from 12 hospitals in six cities across three provinces of the Chinese mainland. Sociodemographic information and data on financial toxicity (FT), cost-related treatment nonadherence, and HRQoL were used in the analysis. Receiver operating characteristic (ROC) analysis was used to determine the optimal cut-off for the simplified Chinese version of the COST. RESULTS: The ROC analysis identified a COST cut-off of 18.5 for identifying cost-related treatment nonadherence, yielding a sensitivity of 76.5% and specificity of 71.4%. In the validation study, this cut-off score yielded a sensitivity of 64.2% and a specificity of 67.1% for identifying impaired HRQoL. CONCLUSION: Early and dynamic assessment of cancer-related FT in routine clinical practice may play a crucial role in the early identification and management of FT. Accordingly, a COST cut-off of 18.5 was identified to indicate cost-related treatment nonadherence and impaired HRQoL in a population of patients with cancer from the Chinese mainland. This finding may facilitate the implementation of universal FT screening among patients with cancer in specific settings such as the Chinese mainland.

Robotic gastrectomy was reliable option for overweight patients with gastric cancer: a propensity score matching study.

BACKGROUND: The role of minimally invasive surgery using robotics versus laparoscopy in resectable gastric cancer patients with a high body mass index (BMI) remains controversial. METHODS: A total of 482 gastric adenocarcinoma patients with BMI ≥ 25 kg/m2 who underwent minimally invasive radical gastrectomy between August 2016 and December 2019 were retrospectively analyzed, including 109 cases in the robotic gastrectomy (RG) group and 321 cases in the laparoscopic gastrectomy (LG) group. Propensity score matching (PSM) with a 1:1 ratio was performed, and the perioperative outcomes, lymph node dissection, and 3-year overall survival (OS) and disease-free survival (DFS) rates were compared. RESULTS: After PSM, 109 patients were included in each of the RG and LG groups, with balanced baseline characteristics. Compared with the LG group, the RG group had similar intraoperative estimated blood loss [median (IQR) 30 (20-50) vs. 35 (30-59) mL, median difference (95%CI) - 5 (- 10 to 0)], postoperative complications [13.8% vs. 18.3%, OR (95%CI) 0.71 (0.342 to 1.473)], postoperative recovery, total harvested lymph nodes [(34.25 ± 13.43 vs. 35.44 ± 14.12, mean difference (95%CI) - 1.19 (- 4.871 to 2.485)] and textbook outcomes [(81.7% vs. 76.1%, OR (95%CI) 1.39 (0.724 to 2.684)]. Among pathological stage II-III patients receiving chemotherapy, the initiation of adjuvant chemotherapy in the RG group was similar to that in the LG group [median (IQR): 28 (25.5-32.5) vs. 32 (27-38.5) days, median difference (95%CI) - 3 (- 6 to 0)]. The 3-year OS (RG vs. LG: 80.7% vs. 81.7%, HR = 1.048, 95%CI 0.591 to 1.857) and DFS (78% vs. 76.1%, HR = 0.996, 95%CI 0.584 to 1.698) were comparable between the two groups. CONCLUSION: RG conferred comparable lymph node dissection, postoperative recovery, and oncologic outcomes in a selected cohort of patients with BMI ≥ 25 kg/m2.

SYNBIP: synthetic binding proteins for research, diagnosis and therapy.

The success of protein engineering and design has extensively expanded the protein space, which presents a promising strategy for creating next-generation proteins of diverse functions. Among these proteins, the synthetic binding proteins (SBPs) are smaller, more stable, less immunogenic, and better of tissue penetration than others, which make the SBP-related data attracting extensive interest from worldwide scientists. However, no database has been developed to systematically provide the valuable information of SBPs yet. In this study, a database named 'Synthetic Binding Proteins for Research, Diagnosis, and Therapy (SYNBIP)' was thus introduced. This database is unique in (a) comprehensively describing thousands of SBPs from the perspectives of scaffolds, biophysical & functional properties, etc.; (b) panoramically illustrating the binding targets & the broad application of each SBP and (c) enabling a similarity search against the sequences of all SBPs and their binding targets. Since SBP is a human-made protein that has not been found in nature, the discovery of novel SBPs relied heavily on experimental protein engineering and could be greatly facilitated by in-silico studies (such as AI and computational modeling). Thus, the data provided in SYNBIP could lay a solid foundation for the future development of novel SBPs. The SYNBIP is accessible without login requirement at both official (https://idrblab.org/synbip/) and mirror (http://synbip.idrblab.net/) sites.

Effects of Integrating Nursing Early Warning Systems with Doula-Assisted Childbirth on Natural Childbirth Rates and Neonatal Outcomes: A Single Center Prospective Study.

Objective: This study aims to evaluate the efficacy of integrating nursing early warning systems with doula-assisted childbirth nursing on natural childbirth rates and associated outcomes. Methods: A total of 150 women who underwent childbirth in the obstetrics and gynecology department of our hospital between September 2021 and March 2023 were enrolled as participants. They were randomly allocated into either the observation group or the control group, each comprising 75 individuals. The control group received standard nursing care, while the observation group received nursing early warning systems combined with doula-assisted childbirth nursing. Comparison between the two groups included modes of childbirth, the intensity of childbirth pain, neonatal Apgar scores, the incidence of postpartum hemorrhage, duration of the first and second stages of labor, and maternal satisfaction with nursing care. Results: Our findings indicated a higher natural childbirth rate in the observation group compared to the control group (P < .05). Furthermore, the SAS score of the observation group post-nursing was significantly lower than that of the control group. Additionally, neonates in the observation group exhibited higher Apgar scores compared to those in the control group. Moreover, mothers who underwent natural childbirth in the observation group experienced lower childbirth pain scores and reduced postpartum hemorrhage incidence (P < .05). The duration of both the first and second stages of childbirth was shorter in the observation group than in the control group. Furthermore, overall satisfaction with care was significantly higher in the observation group than in the control group, with a statistically significant difference (P < .05). Conclusions: This study underscores the effectiveness of implementing nursing early warning systems combined with doula-assisted nursing in enhancing maternal satisfaction, reducing postpartum hemorrhage, and improving maternal well-being and neonatal outcomes. The findings advocate for the widespread adoption of this intervention in clinical practice.

Evaluation of perineal wound healing and pain outcomes after low-angle mediolateral episiotomy in women undergoing vaginal childbirth: A systematic review and meta-analysis.

The efficacy of episiotomy, particularly the angle of incision in mediolateral episiotomies, remains a significant area of inquiry in obstetrics. This meta-analysis aimed to evaluate the impact of low-angle mediolateral episiotomy on perineal wound healing and pain outcomes in women undergoing vaginal childbirth. Adhering to PRISMA guidelines, a systematic review was conducted using the PICO framework. Studies were selected based on predefined inclusion and exclusion criteria, focusing on randomised controlled trials (RCTs) involving low-angle mediolateral episiotomies. Comprehensive literature searches were performed across major electronic databases including PubMed, Embase, Web of Science and Cochrane Library. Data extraction and quality assessments were meticulously carried out by independent reviewers, employing the Cochrane Collaboration's risk of bias tool. A total of 1246 articles were initially identified, with 8 articles meeting the strict inclusion criteria for the final analysis. The meta-analysis revealed significant heterogeneity among studies regarding postoperative pain (p < 0.0001, I2 = 77.5%), and employed a random-effects model. Results showed that low-angle episiotomies significantly reduced postoperative pain (OR = 0.27, 95% CI: 0.17-0.42, p < 0.001), and increased first-degree healing rates (OR = 2.95, 95% CI: 2.20-3.96, p < 0.001) compared to traditional angles. Sensitivity analyses confirmed the stability of these findings, and no significant publication bias was detected. The analysis suggests that low-angle episiotomies can potentially reduce postoperative perineal pain and enhance wound healing. However, the limited number and varying quality of the included studies warrant cautious interpretation of these results. Further well-designed studies are needed to corroborate these findings and guide clinical practice.

Genomic and functional characterization of carbapenem-resistant Klebsiella pneumoniae from hospital wastewater.

BACKGROUND: The emergence of carbapenem-resistant Klebsiella pneumoniae (CRKP) attracted extensive attention. Information on CRKP from hospital wastewater (HWW) is limited. The aims of this study were to investigate the genomic characteristics and to evaluate the survivability characteristics of 11 CRKP from HWW in a Chinese teaching hospital in Fujian province. RESULTS: A total of 11 CRKP from HWW were recovered in this study. All CRKP from HWW were resistant to most antibiotics. Comparative genetic analysis demonstrated that all CRKP isolates were clustered into the three distinct phylogenetic clades and clade 2 and clade 3 were mixtures of samples collected from both HWW and clinical settings. Varieties of resistance genes, virulence genes and plasmid replicon types were detected in CRKP from HWW. In vitro transfer of blaKPC-2 was successful for 3 blaKPC-2-positive CRKP from HWW with high conjugation frequency. Our study demonstrated that the genetic environments of blaKPC-2 shared core structure with ISKpn27-blaKPC-2-ISKpn6. Group analysis showed that CRKP from HWW had a lower survivability in serum compared to clinical CRKP (p < 005); and CRKP from HWW had no significant difference in survivability in HWW compared to clinical CRKP (p > 005). CONCLUSIONS: We analyzed the genomic and survivability characteristics of CRKP from HWW in a Chinese teaching hospital. These genomes represent a significant addition of genomic data from the genus and could serve as a valuable resource for future genomic studies about CRKP from HWW.

Value of the Preoperative D-Dimer to Albumin Ratio for Survival and Recurrence Patterns in Gastric Cancer.

BACKGROUND: D-dimer (DDI) and albumin are prognostic markers for numerous cancers; however, the predictive value of the preoperative DDI-to-albumin ratio (DAR) on the survival and recurrence patterns of gastric cancer (GC) remains unclear. OBJECTIVE: The aim of this study was to explore the prognostic value of the DAR in GC. METHODS: Our study included 1766 patients with GC, divided into training and testing cohorts at a ratio of 7:3. Patients were classified into either a high-DAR group (> 0.0145) or low-DAR group (≤ 0.0145) according to the cut-off value of receiver operating characteristic (ROC) curve analysis. The relationship between the DAR and recurrence pattern was analyzed in stage II/III patients. RESULTS: Eight preoperative hematological factors were included and 17 composite inflammatory markers were constructed. ROC and random forest analyses indicated that among 17 markers, DAR was the best predictor for overall survival (OS) in GC (p < 0.01). High DAR was significantly associated with poor OS (hazard ratio [HR] 1.89, p < 0.001) and recurrence-free survival (RFS; HR 1.85, p < 0.001). Subgroup analysis showed no differences in OS and RFS between the high- and low-DAR groups in stage I or pT1/2 or pN0/1 patients; however, in stage II/III or pT3/4 or pN2/3 patients, the high-DAR group had shorter OS and RFS rates than the low-DAR group (p < 0.001). Similar results were found in the testing cohort. According to the multivariate analysis based on the training cohort, five indices, including DAR, cT stage, cN stage, age and body mass index (BMI), were incorporated to establish a nomogram model to predict the long-term prognosis of GC. The model showed comparable forecast performance in predicting OS (C-index: 0.773 vs. 0.786) and RFS (C-index: 0.788 vs. 0.795) compared with pTNM. Recurrence pattern analysis in stage II/III patients showed that the high-DAR group had a higher incidence of peritoneal implantation and early recurrence (ER) than the low-DAR group, and the post-recurrence survival in the high-DAR group was significantly shorter than that in the low-DAR group (p = 0.016). CONCLUSION: The preoperative DAR is a new biomarker for the long-term survival prediction of GC. In advanced GC, a preoperative DAR > 0.0145 aids the timely detection of ER and peritoneal recurrence after surgery, thus guiding individual follow-up strategies.

Evaluation of dynamic recurrence risk for locally advanced gastric cancer in the clinical setting of adjuvant chemotherapy: a real-world study with IPTW-based conditional recurrence analysis.

BACKGROUND: The long-term dynamic recurrence hazard of locally advanced gastric cancer (LAGC) in the clinical setting of adjuvant chemotherapy (ACT) remains unclear. PURPOSE: This study aimed to investigate the dynamic recurrence risk of LAGC in patients who received ACT or not. METHODS: The study assessed data from patients with LAGC who underwent radical gastrectomy between January, 2010 and October, 2015. Inverse probability of treatment weighting (IPTW) was performed to reduce selection bias between the ACT and observational (OBS) groups. Conditional recurrence-free survival (cRFS) and restricted mean survival time (RMST) were used to assess the survival differences. RESULTS: In total, 1,661 LAGC patients were included (ACT group, n = 1,236 and OBS group, n = 425). The recurrence hazard gradually declined; in contrast, cRFS increased with RFS already accrued. Following IPTW adjustment, the cRFS rates were higher in the ACT group than those in the OBS group for patients at baseline or with accrued RFS of 1 and 2 years (p˂0.05). However, the cRFS rates of the ACT group were comparable with those of the OBS group for patients with accrued RFS of 3 or more years (p > 0.05). Likewise, the 5-year △RMST between the ACT and OBS groups demonstrated a similar trend. Moreover, the hematological metastasis rate of the ACT group was significantly lower than that of the OBS group for patients at baseline or with accrued RFS of 1 and 2 years, respectively (p˂0.05). CONCLUSIONS: Although ACT could provide substantial benefits for patients with LAGC, the differences in recurrence hazard between the ACT and OBS groups may attenuate over time, which could help guide surveillance and alleviate patients' anxiety. Further prospective large-scale studies are warranted.

Morphologically Tunable Rectangular Platelets Self-Assembled from Diblock Molecular Brushes Containing Azopyridine Pendants.

Two-dimensional (2D) platelet structures are of growing importance as building blocks for the preparation of optical and electrical devices. However, the creation of morphologically tunable rectangular platelets through polymer self-assembly still remains a challenge. Herein, we describe a rational strategy for the fabrication of 2D rectangular platelets by stacking azopyridine-containing diblock molecular brushes in two dimensions in a selective solvent. Amphiphilic PEG-co-(PtBA-g-PAzoPy) DMBs with poly(ethylene glycol) (PEG) block, poly(t-butyl acrylate) (PtBA) backbone, and poly(6-(4-(4-pyridyazo)phenoxy)-hexyl methacrylate) (PAzoPy) brush were synthesized by sequential reversible addition-fragmentation chain transfer polymerization and atom transfer radical polymerization. Various rectangular platelets were obtained via the solution self-assembly of PEG-co-(PtBA-g-PAzoPy) through a heating-cooling-aging process in which the morphology and size of platelets could be controlled by adjusting the composition of DMBs as well as the solvent polarity. In addition, we investigated the metal chelation ability and H-bonding-assisted co-assembly capability of PEG-co-(PtBA-g-PAzoPy). The results displayed that 2D hybrids and flower-like platelets were formed, respectively. Our study presents an efficient method to fabricate rectangular platelets with tunable morphologies.

Oncological outcomes of laparoscopic versus open radical total gastrectomy for upper-middle gastric cancer after neoadjuvant chemotherapy: a study of real-world data.

BACKGROUND: Laparoscopic technique has been increasingly used in gastrectomy, but the safety and feasibility of the laparoscopic total gastrectomy (LTG) for advanced proximal gastric cancer (PGC) after neoadjuvant chemotherapy (NAC) is unclear. METHODS: A retrospective analysis of 146 patients who received NAC followed by radical total gastrectomy at Fujian Medical University Union Hospital from January 2008 to December 2018 was performed. The primary endpoints were long-term outcomes. RESULTS: The patients were divided into two groups: 89 were in the LTG group and 57 were in the open total gastrectomy (OTG) group. The LTG group had a significantly shorter operative time (median 173 min vs. 215 min, p < 0.001), less intraoperative bleeding (62 ml vs. 135 ml, p < 0.001), higher total lymph node (LN) dissections (36 vs 31, p = 0.043), and higher total chemotherapy cycle completion rate (≥ 8 cycles) (37.1% vs. 19.7%, p = 0.027) than OTG. The 3-year overall survival (OS) of the LTG group was significantly higher than that of the OTG group (60.7% vs. 35%, p = 0.0013). Survival with inverse probability weighting(IPW) correction for Lauren type, ypTNM stage, NAC schemes and the times at which the surgery was performed showed that there was no significant difference in OS between the two groups (p = 0.463). Postoperative complications (25.8% vs. 33.3%, p = 0.215) and recurrence-free survival (RFS) (p = 0.561) between the LTG and OTG groups were also comparable. CONCLUSION: In experienced gastric cancer surgery centers, LTG is recommended as the preferred option for such patients who performed NAC, owing to its long-term survival is not inferior to OTG, and it offers less intraoperative bleeding, better chemotherapy tolerance than conventional open surgery.

Comparison of robotic versus laparoscopic versus open distal gastrectomy for locally advanced gastric cancer: a prospective trial-based economic evaluation.

IMPORTANCE: It is largely unclear whether robotic distal gastrectomy (RDG) is cost-effective for locally advanced gastric cancer (LAGC). OBJECTIVE: To evaluate the cost-effectiveness of RDG, laparoscopic distal gastrectomy (LDG), and open distal gastrectomy (ODG) for patients with LAGC. DESIGN, SETTING, AND PARTICIPANTS: Inverse probability of treatment weighting (IPTW) was used to balance baseline characteristics. A decision-analytic model was constructed to evaluate the cost-effectiveness of RDG, LDG, and ODG. EXPOSURES: RDG, LDG, and ODG. MAIN OUTCOMES AND MEASURES: Incremental cost-effectiveness ratio (ICER) and quality-adjusted life year (QALY). RESULTS: This pooled analysis of two randomized controlled trials included 449 patients: 117, 254, and 78 patients in the RDG, LDG, and ODG groups, respectively. After IPTW, RDG demonstrated its priority in terms of less blood loss, postoperative length, and complication rate (all P < 0.05). RDG also showed higher QOL with more cost, representing an ICER of $85,739.73 per QALY and $42,189.53 per QALY compared to LDG and ODG, respectively. In probabilistic sensitivity analysis, RDG achieved the best cost-effectiveness for patients with LAGC only when the willingness-to-pay threshold was > $85,739.73 per QALY, which significantly exceeded 3 times Chinese per capita GDP. Furthermore, one of the most important factors was the indirect costs of robotic surgery in terms of the cost-effectiveness of RDG compared to that of LDG or ODG. CONCLUSIONS AND RELEVANCE: Although improved short-term outcomes and QOL were seen in patients underwent RDG, the economic burden should be considered in the clinical decision-making regarding robotic surgery use for patients with LAGC. Our findings may vary in different health care settings and affordability. Trial registration CLASS-01 trial (ClinicalTrials.gov, CT01609309) and FUGES-011 trial (ClinicalTrials.gov, NCT03313700).

Metric Learning-Guided Semi-Supervised Path-Interaction Fault Diagnosis Method for Extremely Limited Labeled Samples under Variable Working Conditions.

The lack of labeled data and variable working conditions brings challenges to the application of intelligent fault diagnosis. Given this, extracting labeled information and learning distribution-invariant representation provides a feasible and promising way. Enlightened by metric learning and semi-supervised architecture, a triplet-guided path-interaction ladder network (Tri-CLAN) is proposed based on the aspects of algorithm structure and feature space. An encoder-decoder structure with path interaction is built to utilize the unlabeled data with fewer parameters, and the network structure is simplified by CNN and an element additive combination activation function. Metric learning is introduced to the feature space of the established algorithm structure, which enables the mining of hard samples from extremely limited labeled data and the learning of working condition-independent representations. The generalization and applicability of Tri-CLAN are proved by experiments, and the contribution of the algorithm structure and the metric learning in the feature space are discussed.

Cross-Component Transferable Transformer Pipeline Obeying Dynamic Seesaw for Rotating Machinery with Imbalanced Data.

Due to the lack of fault data in the daily work of rotating machinery components, existing data-driven fault diagnosis procedures cannot accurately diagnose fault classes and are difficult to apply to most components. At the same time, the complex and variable working conditions of components pose a challenge to the feature extraction capability of the models. Therefore, a transferable pipeline is constructed to solve the fault diagnosis of multiple components in the presence of imbalanced data. Firstly, synchrosqueezed wavelet transforms (SWT) are improved to highlight the time-frequency feature of the signal and reduce the time-frequency differences between different signals. Secondly, we proposed a novel hierarchical window transformer model that obeys a dynamic seesaw (HWT-SS), which compensates for imbalanced samples while fully extracting key features of the samples. Finally, a transfer diagnosis between components provides a new approach to solving fault diagnosis with imbalanced data among multiple components. The comparison with the benchmark models in four datasets proves that the proposed model has the advantages of strong feature extraction capability and low influence from imbalanced data. The transfer tests between datasets and the visual interpretation of the model prove that the transfer diagnosis between components can further improve the diagnostic capability of the model for extremely imbalanced data.

Delta computed tomography radiomics features-based nomogram predicts long-term efficacy after neoadjuvant chemotherapy in advanced gastric cancer.

BACKGROUND AND OBJECTIVE: No effective preoperative tool is available for predicting the prognosis of advanced gastric cancer (AGC) treated by neoadjuvant chemotherapy (NAC). We aimed to explore the association between change values ("delta") in the radiomic signatures of computed tomography (CT) (delCT-RS) before and after NAC for AGC and overall survival(OS). METHODS AND DESIGN: A total of 132 AGC patients with AGC were studied as a training cohort in our center, and 45 patients from another center were used as an external validation set. A radiomic signatures-clinical-nomogram(RS-CN) was established using delCT-RS and preoperative clinical variables. The prediction performance of RS-CN was evaluated using the area under the receiver operating characteristic (ROC)curve (AUC values), time-dependent ROC, decision curve analysis(DCA) and C-index. RESULTS: Multivariable Cox regression analyses showed that delCT-RS, cT-stage, cN-stage, Lauren-type and the value of variation of carcinoma embryonic antigen (CEA) between NAC were independent risk factors for 3-year OS of AGC. In the training cohort, RS-CN had a good prediction performance for OS (C-Index 0.73) and AUC values were significantly better than those of delCT-RS, ypTNM-stage and tumor regression grade(TRG) (0.827 vs 0.704 vs 0.749 vs 0.571, p < 0.001). DCA and time-dependent ROC of RS-CN were better than those of ypTNM stage, TRG grade and delCT-RS. The prediction performance of the validation set was equivalent to that of the training set. The cut-off (177.2) of RS-CN score was obtained from X-Tile software, a score of > 177.2 was defined as high-risk group(HRG), and scores of ≤ 177.2 were defined as the low-risk group(LRG). The 3-year OS and disease free survival(DFS) of patients in the LRG were significantly better than those in the HRG. Adjuvant chemotherapy(AC) can only significantly improve the 3-year OS and DFS of the LRG. (p < 0.05). CONCLUSIONS: Our nomogram based on delCT-RS has good prediction of prognosis before surgery and helps identify patients that are most likely to benefit from AC. It works well in precise and individualised NAC in AGC.

Profile and actual transmissibility of Carbapenem resistance genes: Intracellular and extracellular DNA in hospital wastewater.

The current worldwide spread of carbapenem resistance genes (CRGs) has posed a major public health threat, which continues to grow in severity. Hospital wastewaters (HWWs) are major reservoirs for antibiotic resistance genes, while resistomes in HWWs are still poorly characterized when it comes to CRGs. We comprehensively characterized the profile and actual transmissibility of extracellular CRGs (eCRGs) and intracellular CRGs (iCRGs) in HWWs for the first time. In this study, CRGs showed similar relative abundance in treated and untreated HWWs. Meanwhile, HWWs treatments led to the enrichment of blaIMP-8, probably attributed to the promotion of Novosphingobium and Prosthecobacter after treatment. To evaluate the transmission potential of CRGs, extracellular and intracellular carbapenem-resistant plasmids were captured from HWWs by transformation and conjugation, respectively. We found an interesting phenomenon regarding the transmission characteristics of CRGs: blaKPC-carrying plasmids could only be captured by transformation, while blaNDM-carrying plasmids were captured by conjugation. Further experiments showed that HWW treatments increased the conjugation ability of blaNDM. In conclusion, our study demonstrated that HWWs are significant reservoirs of CRGs and various CRGs exhibit different modes of transmission in HWWs. CRGs cannot be removed by membrane bioreactor and chlorine disinfection. An urgent need is to develop more efficient wastewater treatments to limit CRG dissemination.