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Quantum chemical (QC) property prediction is crucial for computational materials and drug design, but relies on expensive electronic structure calculations like density functional theory (DFT). Recent deep learning methods accelerate this process using 1D SMILES or 2D graphs as inputs but struggle to achieve high accuracy as most QC properties depend on refined 3D molecular equilibrium conformations. We introduce Uni-Mol+, a deep learning approach that leverages 3D conformations for accurate QC property prediction. Uni-Mol+ first generates a raw 3D conformation using RDKit then iteratively refines it towards DFT equilibrium conformation using neural networks, which is finally used to predict the QC properties. To effectively learn this conformation update process, we introduce a two-track Transformer model backbone and a novel training approach. Our benchmarking results demonstrate that the proposed Uni-Mol+ significantly improves the accuracy of QC property prediction in various datasets., (© 2024. The Author(s).)

The design and fabrication of high-performance, inexpensive and durable electrocatalyst toward hydrogen evolution reaction (HER) is supremely significant for alleviating energy crisis and environmental concerns, but still remaining challenging. Herein, we develop an experimental work based on etching and reduction strategy to reveal the remarkable effect of cation/anion co-doping in CoMoO 4 on its intrinsic HER activity. The CoMoO 4 with Fe and B incorporation (Fe/B-CoMoO 4 ) exhibits a current density of 10 mA cm -2 with strikingly low potential of 38 mV coupling with Tafel slope of 51 mV dec -1 , and manifesting a robust durability for 100 h with no attenuation, which is comparable to the state-of-the-art commercial Pt/C catalyst. The collective experimental and theoretical findings concomitantly illustrate that the enhanced performances are due to the strong synergistic effect resulting from the co-doping of Fe and B, which plays a pivotal role in finely tuning the electronic structure of CoMoO 4 , further optimizing the adsorption free energy of H intermediates and shifting the center of the d-band of Fe/B-CoMoO 4 away from the Fermi level. This fantastic work highlights the critical role of foreign element incorporating for optimizing electronic structure of transition metal oxides toward HER, and offers valuable guiding principles for rational design of more efficient energy conversion devices., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Integrating scientific principles into machine learning models to enhance their predictive performance and generalizability is a central challenge in the development of AI for Science. Herein, we introduce Uni-p K a , a novel framework that successfully incorporates thermodynamic principles into machine learning modeling, achieving high-precision predictions of acid dissociation constants (p K a ), a crucial task in the rational design of drugs and catalysts, as well as a modeling challenge in computational physical chemistry for small organic molecules. Uni-p K a utilizes a comprehensive free energy model to represent molecular protonation equilibria accurately. It features a structure enumerator that reconstructs molecular configurations from p K a data, coupled with a neural network that functions as a free energy predictor, ensuring high-throughput, data-driven prediction while preserving thermodynamic consistency. Employing a pretraining-finetuning strategy with both predicted and experimental p K a data, Uni-p K a not only achieves state-of-the-art accuracy in chemoinformatics but also shows comparable precision to quantum mechanics-based methods., Competing Interests: The authors declare no competing financial interest., (© 2024 The Authors. Published by American Chemical Society.)

Background: Proton-pump inhibitors (PPIs) and potassium-competitive acid blockers (P-CABs) are recommended for erosive esophagitis (EE), with good safety and tolerance. However, it is unclear which is the best treatment option for EE., Objectives: This study aimed to evaluate the comparative efficacy of P-CABs and PPIs for healing EE patients, seeking an appropriate treatment choice in the 4- or 8-week treatment and standard or double dose., Design: A systematic review and network meta-analysis., Data Sources and Methods: Relevant databases were searched to collect randomized controlled trials of PPIs and P-CABs in the treatment of EE up to 31 May 2023. Studies on standard or double-dose PPIs or P-CABs which were published in English and assessed 4- or 8-week healing effects in EE were included. A network meta-analysis was performed to evaluate the efficacy of the treatments under the frequentist framework. Sensitivity and subgroup analyses of patients with different baseline EE were also conducted., Results: In all, 34 studies involving 25,054 patients and 9 PPIs, 6 P-CABs, or placebo treatment interventions were included. The pooled 4-week healing rate was significantly statistically lower than the pooled 8-week healing rate for most treatments. Besides, the higher healing rate of double-dose treatment than standard-dose treatment was not observed in the initial treatment of most drugs. The main analysis only included studies conducted for both patients with and without severe EE at baseline, and the proportion of severe EE included in the study was >10%, Keverprazan 20 mg qd ranked best with a surface under the cumulative ranking curve (SUCRA) value of 84.7, followed by Ilaprazole 10 mg qd with a SUCRA value of 82.0, for the healing rate at 8 weeks. Sensitivity analysis showed that the results were robust. Subgroup analysis showed that most P-CABs had higher healing rates than PPIs, particularly for patients with severe EE. And the healing rate of Keverprazan 20 mg qd at 8 weeks ranked best in the subgroup without or with severe EE at baseline., Conclusion: This study showed that an 8-week treatment seemed more effective than the 4-week treatment for healing EE patients. The healing effect of Keverprazan (20 mg qd) ranked best in 8-week treatment, for both severe and non-severe EE patients., Trial Registration: The study protocol was registered with INPLASY (registration number INPLASY2023120053)., Competing Interests: The authors declare that there is no conflict of interest., (© The Author(s), 2024.)

As the demand for beef products grows in the Chinese market, understanding consumer preferences for beef, especially those related to quality labelling, is essential. The recent agreement between China and the European Union to promote Geographical Indications (GIs) provides a new insight into preferences for beef with quality labelling. This paper assesses consumer preferences for beef products with GIs and other attributes. A nationwide survey is conducted including 1210 respondents in China by a choice experiment attributing GI label, 'green', 'hazard-free', and 'organic' labels, feeding regimes (grain-fed, grass-fed), country of origin (China, Ireland, Australia, Brazil), and price (30, 40, 80, 100 ¥/500 g). The random parameter logit model with error component reveals that Chinese consumers have a significant preference for grain-fed beef and domestic beef, and they are willing to pay a premium price for GI-labelled beef compared with other attributes. The interaction between GIs and country of origin is included to indicate the positive price impact of GIs on imported beef products. Demographic factors such as place of residence and occupation are found to affect consumer preferences for GIs., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: Drought is a critical limiting factor affecting the growth and development of spring maize ( Zea mays L.) seedlings in northeastern China. Sodium 5-nitroguaiacol (5-NGS) has been found to enhance plant cell metabolism and promote seedling growth, which may increase drought tolerance., Methods: In the present study, we investigated the response of maize seedlings to foliar application of a 5-NGS solution under osmotic stress induced by polyethylene glycol (PEG-6000). Four treatment groups were established: foliar application of distilled water (CK), foliar application of 5-NGS (NS), osmotic stress + foliar application of distilled water (D), and osmotic stress + foliar application of 5-NGS (DN). Plant characteristics including growth and photosynthetic and antioxidant capacities under the four treatments were evaluated., Results: The results showed that under osmotic stress, the growth of maize seedlings was inhibited, and both the photosynthetic and antioxidant capacities were weakened. Additionally, there were significant increases in the proline and soluble sugar contents and a decrease in seedling relative water content (RWC). However, applying 5-NGS alleviated the impact of osmotic stress on maize seedling growth parameters, particularly the belowground biomass, with a dry mass change of less than 5% and increased relative water content (RWC). Moreover, treatment with 5-NGS mitigated the inhibition of photosynthesis caused by osmotic stress by restoring the net photosynthetic rate (Pn) through an increase in chlorophyll content, photosynthetic electron transport, and intercellular CO 2 concentration (Ci). Furthermore, the activity of antioxidant enzymes in the aboveground parts recovered, resulting in an approximately 25% decrease in both malondialdehyde (MDA) and H 2 O 2 . Remarkably, the activity of enzymes in the underground parts exhibited more significant changes, with the contents of MDA and H 2 O 2 decreasing by more than 50%. Finally, 5-NGS stimulated the dual roles of soluble sugars as osmoprotectants and energy sources for metabolism under osmotic stress, and the proline content increased by more than 30%. We found that 5-NGS played a role in the accumulation of photosynthates and the effective distribution of resources in maize seedlings., Conclusions: Based on these results, we determined that foliar application of 5-NGS may improve osmotic stress tolerance in maize seedlings. This study serves as a valuable reference for increasing maize yield under drought conditions., Competing Interests: The authors declare there are no competing interests., (©2024 Yang et al.)

During the COVID-19 pandemic, forecasting COVID-19 trends to support planning and response was a priority for scientists and decision makers alike. In the United States, COVID-19 forecasting was coordinated by a large group of universities, companies, and government entities led by the Centers for Disease Control and Prevention and the US COVID-19 Forecast Hub (https://covid19forecasthub.org). We evaluated approximately 9.7 million forecasts of weekly state-level COVID-19 cases for predictions 1-4 weeks into the future submitted by 24 teams from August 2020 to December 2021. We assessed coverage of central prediction intervals and weighted interval scores (WIS), adjusting for missing forecasts relative to a baseline forecast, and used a Gaussian generalized estimating equation (GEE) model to evaluate differences in skill across epidemic phases that were defined by the effective reproduction number. Overall, we found high variation in skill across individual models, with ensemble-based forecasts outperforming other approaches. Forecast skill relative to the baseline was generally higher for larger jurisdictions (e.g., states compared to counties). Over time, forecasts generally performed worst in periods of rapid changes in reported cases (either in increasing or decreasing epidemic phases) with 95% prediction interval coverage dropping below 50% during the growth phases of the winter 2020, Delta, and Omicron waves. Ideally, case forecasts could serve as a leading indicator of changes in transmission dynamics. However, while most COVID-19 case forecasts outperformed a naïve baseline model, even the most accurate case forecasts were unreliable in key phases. Further research could improve forecasts of leading indicators, like COVID-19 cases, by leveraging additional real-time data, addressing performance across phases, improving the characterization of forecast confidence, and ensuring that forecasts were coherent across spatial scales. In the meantime, it is critical for forecast users to appreciate current limitations and use a broad set of indicators to inform pandemic-related decision making., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: APP report grants from Metabiota Inc outside the submitted work. J.S. and Columbia University declare partial ownership of SK Analytics. No other authors have competing interests to declare., (Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.)

Introduction: Liver disease causes 2 million deaths annually, accounting for 4% of all deaths worldwide. Liver surgery is one of the effective therapeutic options. Bleeding is a major complication during liver surgery. Perioperative bleeding and allogeneic blood transfusion may deteriorate the prognosis. Terlipressin (TP), a synthetic analogue of the antidiuretic hormone, may reduceblood loss during abdominal surgery. Several clinical centres have attempted to use TP during liver surgery, but the evidence for its effectiveness in reducing blood loss and the need for allogeneic blood transfusion, as well as its safety during the perioperative period, remains unclear. The aim of this systematic review and meta-analysis is to evaluate the efficacy and safety of TP in reducing blood loss and allogeneic blood transfusion needs during liver surgery., Methods and Analysis: We will search PubMed, EMBASE, the Cochrane Library and Web of Science for studies on perioperative use of TP during liver surgery from inception to July 2023. We will limit the language to English, and two reviewers will independently screen and select articles. The primary study outcomes are estimated blood loss and the need for allogeneic blood transfusion. Secondary outcomes include operating time, intensive care unit stay, length of stay, intraoperative urine output, acute kidney injury rate, postoperative complications, hepatic and renal function during follow-up, and TP-related adverse effects. We will include studies that met the following criteria: (1) randomised controlled trials (RCTs), cohort studies or case-control studies; (2) the publication time was till July 2023; (3) adult patients (≥18 years old) undergoing elective liver surgery; (4) comparison of TP with other treatments and (5) the study includes at least one outcome. We will exclude animal studies, case reports, case series, non-original articles, reviews, paediatric articles, non-controlled trials, unpublished articles, non-English articles and other studies that are duplicates. We will use Review Manager V.5.3 software for meta-analysis and perform stratification analysis for the study quality of RCTs based on the Jadad score. For cohort or case-control studies, the study quality will be analysed based on Newcastle-Ottawa Scale scores. Grading of Recommendations, Assessment, Development and Evaluation will be used to assess confidence in the cumulative evidence. For primary outcomes, we will conduct subgroup analyses based on meta-regression. We will also perform leave-one-out sensitivity analyses to evaluate the effect of each individual study on the combined results by removing the individual studies one by one for outcomes with significant heterogeneity. The protocol follows the Cochrane Handbook for Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols guidelines., Ethics and Dissemination: This study is a secondary analysis of existing data; therefore, it does not require ethical approval. We will disseminate the results through peer-reviewed publications., Prospero Registration Number: CRD42023450333., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Gas separation is crucial for industrial production and environmental protection, with metal-organic frameworks (MOFs) offering a promising solution due to their tunable structural properties and chemical compositions. Traditional simulation approaches, such as molecular dynamics, are complex and computationally demanding. Although feature engineering-based machine learning methods perform better, they are susceptible to overfitting because of limited labeled data. Furthermore, these methods are typically designed for single tasks, such as predicting gas adsorption capacity under specific conditions, which restricts the utilization of comprehensive datasets including all adsorption capacities. To address these challenges, we propose Uni-MOF, an innovative framework for large-scale, three-dimensional MOF representation learning, designed for multi-purpose gas prediction. Specifically, Uni-MOF serves as a versatile gas adsorption estimator for MOF materials, employing pure three-dimensional representations learned from over 631,000 collected MOF and COF structures. Our experimental results show that Uni-MOF can automatically extract structural representations and predict adsorption capacities under various operating conditions using a single model. For simulated data, Uni-MOF exhibits remarkably high predictive accuracy across all datasets. Additionally, the values predicted by Uni-MOF correspond with the outcomes of adsorption experiments. Furthermore, Uni-MOF demonstrates considerable potential for broad applicability in predicting a wide array of other properties., (© 2024. The Author(s).)

COVID-19 vaccines play a critical role in protecting against infection and transmission of the virus. Therefore, understanding public perceptions of COVID-19 vaccines is essential for successful vaccine promotion. Previous literature reported strong associations between vaccination decisions and several sociodemographic variables. However, knowledge about how behavioral factors, including risk perceptions and preferences, impact individuals' attitudes towards receiving COVID-19 vaccination is currently lacking. Using data from a nationally representative survey of 1050 US adults, this study investigates the correlation between individuals' decisions to receive COVID-19 vaccination and both their risk perceptions and preferences. Additionally, we investigate post-vaccination behavior by measuring individuals' participation in three different groups of activities that vary by their degree of social exposure. We find strong correlations between vaccination decisions and four measures of risk preference and risk perception. We also find associations between the four risk measures and individuals' behaviors post-vaccination. We shed light on the main factors discouraging the uptake of COVID-19 vaccines, as well as public opinions regarding the performance of different organizations in addressing the COVID-19 pandemic, and grocery store policies to prevent COVID-19 infections. Our study provides critical information that can help policymakers communicate more effectively with the public and promote vaccine uptake among population groups and geographic areas with higher anti-vaccine sentiments., (© 2024. The Author(s).)

Objective Colorectal cancer (CRC) is a common malignant tumor of the digestive system with a high incidence rate. It is prone to misdiagnosis or missed diagnosis in clinical practice. Therefore, researching computer-aided diagnostic methods for endoscopic colon disease image classification is of great importance. This study proposes a deep learning-based method for colon disease classification. It utilizes intestinal images or captures from an endoscope camera to achieve intelligent classification of gastrointestinal diseases, providing assistance to doctors in their decision-making process. Methods Firstly, the algorithm is used to preprocess the dataset by removing duplicates and applying enhancement techniques. Two different network architectures, namely A_Vit, MobileNet, are employed. The models are trained using the same parameters and dataset with the Adam optimizer. The training process generates loss curves, accuracy, and recall rates for each of the four network architectures. Results The results indicate that the training with A_Vit has shown better performance, achieving an accuracy rate of 95.76% and an impressive recall rate of 97.21%. Therefore, the model trained using the A_Vit network structure is ultimately selected as the preferred choice. Conclusion This method can improve the efficiency and accuracy of colon disease diagnosis.

Background: Clarifying the effectiveness of co-teaching in medicine and nursing (CMN) is important as it is crucial in clinical practice to improve the quality of patient care and prognosis. In this study, we aimed to determine the efficacy of CMN in nurse anesthetist training., Method: The study comprised a 6-month training session and a before-and-after controlled study. In total, 59 nurses were recruited. The first 30 nurses were enrolled in the conventional single-teaching in nursing (SN) group and only took nursing-related courses. The next 29 students were enrolled in the CMN group and received both general medical and nursing-specific curricula. Before and after training, medical and nursing collaboration competency scores and knowledge scores were compared between the two groups. At the end of the study, qualitative comments on teaching satisfaction and clinical reasoning skills improvement were queried, and content analysis was performed., Results: Participants in the CMN group outperformed those in the SN group in tests of medical and nursing collaboration abilities as well as knowledge. The CMN group outperformed the SN group in terms of teaching satisfaction evaluation, particularly in terms of fostering learning in the anesthetist specialty, improving clinical practice, fostering motivation, and influencing how people think about challenges at work. Furthermore, participants in the CMN group felt that their clinical reasoning abilities had improved., Conclusion: In comparison to the SN group, the CMN group had enhanced outcomes of patient care, medical and nursing collaboration, and clinical reasoning skills., (© 2023. The Author(s).)

Cucurbita moschata, commonly known as squash or pumpkin, is a member of the Cucurbitaceae family originating from Central America. This species is regarded as heat tolerant and disease resistant and is commonly used in breeding programs. Calabaza (wintersquash) is an emerging market type of C. moschata with increasing popularity in the United States; however, limited research has been conducted to understand how sensory qualities influence consumers' acceptability and willingness to pay (price). This study compared the sensory perception of C. moschata accessions grown in the continental southeastern United States with their physical and chemical properties using squash prepared from fresh and frozen states. The eight accessions investigated included five hybrids of calabaza from the University of Florida (University of Florida Tropical Pumpkin #), two commercial cultivars of calabaza (La Estrella and Soler), and one butternut squash cultivar (Waltham). The evaluation of fresh calabaza revealed significant differences in consumer preference among cultivars in addition to correlations with sensory attributes. UFTP8 and UFTP24 received the highest ratings, whereas UFTP38 and 'La Estrella' were rated lowest. Interestingly, the evaluation of frozen calabaza revealed UFTP8 and 'Waltham' Butternut squash as the highest in ranking, while UFTP38 and 'La Estrella' retained the lowest ranking. Consumer ratings of fresh samples revealed positive correlations between overall liking, sweetness liking, and texture liking with willingness to pay and soluble solids content (SSC). For calabaza intended for the frozen market, the color, hardness, and SSC were identified as the most significant parameters impacting willingness to pay. These results show how quality attributes can play a crucial role in consumers perception of quality and significantly influence their reported willingness to pay. PRACTICAL APPLICATION: Producers and breeders can use positively correlated attributes as indicators of overall liking and to determine pricing for C. moschata products., (© 2023 Institute of Food Technologists.)

Objective: Demonstrate that regional geometric differences exist between regurgitant and non-regurgitant mitral valves (MV's) in patients with coronary artery disease and due to the heterogenous and regional nature of ischemic remodeling in patients with coronary artery disease (CAD), that the available anatomical reserve and likelihood of developing mitral regurgitation (MR) is variable in non-regurgitant MV's in patients with CAD., Methods: In this retrospective, observational study intraoperative three-dimensional transesophageal echocardiographic data was analyzed in patients undergoing coronary revascularization with MR (IMR group) and without MR (NMR group). Regional geometric differences between both groups were assessed and MV reserve which was defined as the increase in antero-posterior (AP) annular diameter from baseline that would lead to coaptation failure was calculated in three zones of the MV from antero-lateral (zone 1), middle (zone 2), and posteromedial (zone 3)., Measurements and Main Results: There were 31 patients in the IMR group and 93 patients in the NMR group. Multiple regional geometric differences existed between both groups. Most significantly patients in the NMR group had significantly larger coaptation length and MV reserve than the IMR group in zones 1 (p-value = .005, .049) and 2 (p-value = .00, .00), comparable between the two groups in zone 3 (p-value = .436, .513). Depletion of the MV reserve was associated with posterior displacement of the coaptation point in zones 2 and 3., Conclusions: There are significant regional geometric differences between regurgitant and non-regurgitant MV's in patients with coronary artery disease. Due to regional variations in available anatomical reserve and the risk of coaptation failure in patients with CAD, absence of MR is not synonymous with normal MV function., (© 2023 Wiley Periodicals LLC.)

Concerns about the numerous health problems associated with unhealthy snacks prompted recommendations to steer individuals toward healthier eating habits. One such recommendation advises limiting unhealthy snacks and replacing them with more fruits and vegetables with significant health benefits. This study investigates US consumers' perceptions and preferences for healthy (vegetable-based) snacks/beverages. An online survey was designed to estimate consumer perception and willingness-to-pay (WTP) for vegetable-based crackers, spreads, and beverages. A sampling company sent the survey to its national consumer panels in 2020, resulting in a sample of 402 US consumers. Eligible participants were adults, primary grocery shoppers who consumed crackers, spreads, and beverages. Consumer WTP for healthy snacks/beverages, the dependent variable, was elicited using a payment card method. Independent variables include personality traits (Innovativeness and Extraversion) and the important factors affecting healthy snack purchases, health consciousness, and demographic variables. Results show that consumers' preferences for healthy snacking vary by product, even when the products have similar health benefits. Significant positive associations exist between WTP for healthy snacks/beverages and personality traits, health consciousness, and some demographics. This study provides critical insights to policymakers and informs marketing campaigns to promote healthy snacking in the US more effectively., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Okpiaifo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Obstructive sleep apnea-hypopnea syndrome (OSAHS) has been linked to increased risk of perioperative morbidity and mortality because of difficult intubation (DI). However, there is a lack of clinically validated tools to identify OSAHS patients who are likely to have an increased the risk of DI., Methods: For model development, a prospective cohort study included patients with OSAHS who underwent elective surgery between September 2018 to December 2020. The outcome was DI and classified according to the Cormack-Lehane grading. Conventional airway assessment tests, skeletal features, and the severity of OSAHS were recorded, and LASSO regression was used. Validation was performed on an external sample of patients from the same hospital between January 2021 and December 2021., Results: The development (prevalence of DI: 44%) and validation cohorts (prevalence of DI: 32%) included 247 and 82 patients, respectively. Based on the result of LASSO, age and four skeletal features (thyromental height, maximum mandibular protrusion, mandibulohyoid distance, and neck hypokinesis grade) were included in the final model. Discrimination and calibration of the model were satisfactory with high AUC (0.97), sensitivity (88.5%), specificity (94.6%), accuracy (92.7%), PPV (88.5%) and NPV (94.6%) from external validation., Conclusions: Our study developed and externally validated a DI prediction model using skeletal features in OSAHS patients. The final model had an NPV of nearly 95%, suggesting that a simple nomogram including only five predictors was quite helpful for ruling out the presence of difficult intubation in OSAHS patients who underwent elective surgery.

People who received a more personally relevant message were motivated to pay closer attention to the information and actively process it, which ultimately may stimulate behavioral changes. Therefore, preferred information content has been used in many disciplines to promote effective communication. However, no study has explored the impact of preferred information formats (e.g., word, infographic, and video) concerning food production. With the increasing application of biotechnology to food production, a complex topic to communicate, and evidence that consumers were willing to pay less for bioengineered foods, efficient communication was important to impact consumer preferences. The results of this study showed that consumers mostly preferred information format is writing. Providing information in video format did improve consumers' trust in information about food biotechnology. However, receiving information in consumers' preferred formats did not significantly change consumers' WTP for genetically engineered orange juice.

In recent years, as a green renewable energy production technology, electrochemical water splitting has demonstrated high development potential. Many materials have been reported as successful catalysts in the water-splitting field. However, it is still a huge challenge to produce bifunctional electrocatalysts for the efficient and sustainable generation of hydrogen and oxygen simultaneously. Herein, we successfully developed oxygen vacancies abundant CuCo layered double oxide (O v -CuCo-LDO) hollow nanotube arrays (HNTAs) loaded on nickel foam as advanced electrocatalysts for total water splitting. When the current density was 10 mA cm -2 , the O v -CuCo-LDO HNTAs exhibited outstanding onset overpotentials of 53.9 and 72.5 mV for the hydrogen evolution and oxygen evolution reactions (HER and OER) in alkaline medium, respectively, because of the bimetallic synergistic effect between the cobalt and copper and the unique hollow porous structure. In addition, an as-assembled O v -CuCo-LDO||O v -CuCo-LDO electrolytic cell showed a small potential of 1.55 V to deliver a current density of 10 mA cm -2 . Moreover, it also showed remarkable durability after long-term overall water splitting for more than 20 h. The research results in this paper are of great interest to practical applications of the water decomposition process, providing clear and in-depth insights into preliminary robust and efficient multifunctional electrocatalysts for overall water splitting.

Background: The high incidence of intraoperative glucose dysregulations in liver transplantation (LT) is related to the lack of highly orchestrated control of intraoperative blood glucose. Glucose monitoring based on a single arterial blood gas test can only provide a simple glucose profile and is insufficient in monitoring intraoperative glycemic variability (GV), which is not conducive to controlling GV and may have a lag in the management of hyper/hypoglycemia. Continuous glucose monitor (CGM), which has been successfully applied in the management of chronic disease in diabetes, provides more detailed blood glucose records and reflect GV parameters such as coefficient of variation (CV%). However, its effectiveness and accuracy for guiding blood glucose management in major surgeries remains unclear., Methods: This is a single-center, randomized, controlled, superiority trial. One hundred and eighty patients scheduled for orthotopic LT will be recruited and randomized into two groups. All patients are monitored for intraoperative glucose using CGM combined with arterial blood gas (ABG). In the intervention group (group CG), ABG will be performed when CGM value is < 6.1 mmol/L or > 10.0 mmol/L, or the rate of change of CGM value > 1.67 mmol/(L·min). In the control group (group G), intraoperative ABG tests will be performed every 2 h, and the frequency of ABG tests will be adjusted based on the previous arterial glucose result. Patients in both groups will have their blood glucose adjusted according to arterial glucose values and a uniform protocol. Surgical and other anesthetic management is completed according to standard LT practices., Discussion: This study intends to investigate the effectiveness of CGM-based intraoperative glucose management and its impact on the prognosis of LT patients by comparing the GV, mean glucose values, and the incidence of hypo/hypoglycemic events guided by the above two glucose monitoring methods., Trial Registration: This study is registered at www.chictr.org.cn on January 4, 2022, under the registration number ChiCTR2200055236., (© 2023. The Author(s).)

The predictive learning of spatiotemporal sequences aims to generate future images by learning from the historical context, where the visual dynamics are believed to have modular structures that can be learned with compositional subsystems. This paper models these structures by presenting PredRNN, a new recurrent network, in which a pair of memory cells are explicitly decoupled, operate in nearly independent transition manners, and finally form unified representations of the complex environment. Concretely, besides the original memory cell of LSTM, this network is featured by a zigzag memory flow that propagates in both bottom-up and top-down directions across all layers, enabling the learned visual dynamics at different levels of RNNs to communicate. It also leverages a memory decoupling loss to keep the memory cells from learning redundant features. We further propose a new curriculum learning strategy to force PredRNN to learn long-term dynamics from context frames, which can be generalized to most sequence-to-sequence models. We provide detailed ablation studies to verify the effectiveness of each component. Our approach is shown to obtain highly competitive results on five datasets for both action-free and action-conditioned predictive learning scenarios.

Biological control (BC) is an important component of green control techniques, and its adoption in the production of fresh produce holds economic and ecological importance as an alternative to chemical pesticides, yet its current adoption rate is not high. To clarify the issue, this study analyzes the factors that influence growers' adoption of BC practices in China's orchard systems. We focus on how marketing outlets and risk attitudes affect farmers' adoption of BC practices. A field survey of 327 pear growers was conducted in three main pear-producing areas of Hebei, Shandong, and Hubei provinces of China between October and December 2020. Results show that farmers' risk aversion has a significant and negative impact on their adoption of BC practices. The market environment is another dramatic factor affecting farmers' adoption. Both green certification and cooperative marketing have a significant role in promoting farmers' adoption of BC practices. Our findings highlight the importance of risk reduction and market environment to BC adoption. Furthermore, it can provide critical information for policymakers in formulating strategies to promote the application and extension of BC practices among farmers in developing countries, such as China., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: Increasing evidence revealed that circular RNAs (circRNAs) are involved in colorectal cancer progression. However, the potential function of circ&#95;0001535 in colorectal cancer remains unclear., Aims: To investigate the mechanism of circ&#95;0001535 by silencing circ&#95;0001535 in colorectal cancer cells and nude mice., Study Design: A cell study., Methods: Expressions of circ&#95;0001535, LIM and SH3 protein 1 (LASP1) mRNA, and miR-485-5p were detected by real-time quantitative polymerase chain reaction (RT-qPCR). Western blot analyses of LASP1, PCNA, cleaved caspase 3, snail 1, and OCT4 protein expression were performed. CCK-8, EdU, flow cytometry, transwell assays, and sphere formation were conducted to evaluate colorectal cancer cell proliferation, apoptosis, invasion, and stemness. Luciferase reporter assays, RNA pull-down, and RIP validated binding. A nude mice xenograft model was constructed., Results: Circ&#95;0001535 was significantly upregulated in colorectal tissues and cells. Circ&#95;0001535 knockdown suppressed the malignant behavior of colorectal cells such as proliferation, invasion, stemness, and tumor growth in vivo. This knockdown also induced apoptosis by sponging miR-485-5p and upregulating LASP1 expression., Conclusion: Circ&#95;0001535 promotes colorectal cancer cell development by absorbing miR-485-5p and upregulating LASP1.

As marketing tools, nutrition claims (NCs) and health claims (HCs) can be used to convey the nutritional properties and health benefits of food to consumers, but their respective effects on consumers' perceptions of healthier meat products are inconsistent in the literature. Using a physical prototype of omega-3-enriched sausages as a research interest, this paper explores how HCs and NCs differently influence consumers' sensory preferences and willingness to pay (WTP). Sensory tests were carried out among 330 participants, followed by a choice-based conjoint (CBC) experiment to measure consumers' WTP. Results indicate that, in comparison with the uninformed condition, labeling an omega-3 nutrition claim increased consumers' sensory liking for omega-3-enriched sausages in the attributes of appearance and texture. Moreover, consumers were willing to pay more for healthier sausages, but labeling HCs did not significantly improve participants' WTP for omega-3-enriched sausages more than NCs. Hence, HCs did not significantly outperform NCs, when it comes to positively influencing consumers' sensory liking and paying intentions for omega-3-enriched sausages. The findings of this study have implications for the meat industry in developing healthier sausage formulations with greater likelihood of success in the market.

This study uses a discrete choice experiment to examine consumers' preferences for Fuji apple product attributes and willingness to pay (WTP) estimates for consumers in six cities in China. We estimated the preference heterogeneity by linking the stated preference choice data with consumers' past experience and socioeconomic characteristics in the latent class model. The empirical results show that, first, the past experience variables are crucial in explaining consumer preferences and WTP. Second, three classes, namely, certification-oriented, price- and origin-oriented, and not interested, are identified. Furthermore, the same type of Fuji apple attribute does not appeal to every respondent. Third, our results indicate the heterogeneity of preferences across different classes of respondents, as well as differences in WTP for Fuji apples., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Liu, Liang, Heng, Gao, Snell, Rae and Ma.)

Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hub (https://covid19forecasthub.org/) collected, disseminated, and synthesized tens of millions of specific predictions from more than 90 different academic, industry, and independent research groups. A multimodel ensemble forecast that combined predictions from dozens of groups every week provided the most consistently accurate probabilistic forecasts of incident deaths due to COVID-19 at the state and national level from April 2020 through October 2021. The performance of 27 individual models that submitted complete forecasts of COVID-19 deaths consistently throughout this year showed high variability in forecast skill across time, geospatial units, and forecast horizons. Two-thirds of the models evaluated showed better accuracy than a naïve baseline model. Forecast accuracy degraded as models made predictions further into the future, with probabilistic error at a 20-wk horizon three to five times larger than when predicting at a 1-wk horizon. This project underscores the role that collaboration and active coordination between governmental public-health agencies, academic modeling teams, and industry partners can play in developing modern modeling capabilities to support local, state, and federal response to outbreaks.

Colorectal cancer (CRC) is a prevalent malignant tumor with a poor prognosis. Circular RNA (circRNA) circ&#95;0007334 is related to cell proliferation in CRC. This study is designed to explore the role and mechanism of circ&#95;0007334 in CRC progression. Circ&#95;0007334, microRNA-577 (miR-577) and kruppel-like factor 12 (KLF12) levels were measured by real-time quantitative PCR (RT-qPCR). Exosomes were detected by a transmission electron microscope and nanoparticle tracking analysis (NTA). CD63, TSG101, matrix metallopeptidase-2 (MMP-2), MMP-9, VEGFA and KLF12 protein levels were examined by western blot assay. The binding relationship between miR-577 and circ&#95;0007334 or KLF12 was predicted by circRNA interactome or Starbase and verified by a dual-luciferase reporter and RNA immunoprecipitation (RIP) assays. Cell viability, colony number, migration, invasion and angiogenesis were detected by cell counting kit-8 (CCK-8), colony formation, wound healing, transwell and tube formation assays. The biological role of circ&#95;0007334 was examined by the xenograft tumor model in vivo. Circ&#95;0007334 and KLF12 were increased, and miR-577 was decreased in CRC tissues and cells. Also, circ&#95;0007334 expression was upregulated in CRC cell-derived exosomes. Circ&#95;0007334 deficiency repressed cell viability, colony formation, migration, invasion, and angiogenesis in CRC cells. Mechanically, circ&#95;0007334 could regulate KLF12 expression by sponging miR-577. Circ&#95;0007334 downregulation or exosomal circ&#95;0007334 silencing blocked CRC tumor growth in vivo. These results presented that circ&#95;0007334 deficiency exerts a tumor-suppressor by the miR-577/KLF12 axis in CRC, and indicated that exosomal circ&#95;0007334 could hinder CRC tumor growth and angiogenesis in vivo. Our findings provided a novel therapeutic strategy for CRC., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Studying the impact of COVID-19 on consumer food stockpiling behavior is timely and imperative. It can provide important information and help to understand whether consumers permanently change their behavior or return to their old habits in the long run. This study analyzed Chinese consumers' food stockpiling behavior using six rounds of nationwide surveys in China from December 2020 to July 2021. The results show that the scale of food reserves extended from 3.03 to 10.01 days after the outbreak of COVID-19, then dropped to a "new normal" plateau and kept fluctuating with the tide of the COVID-19 pandemic. Consumers who stockpile food for "Avoiding shortage" and "Pursuing ease" are going to stockpile food on a larger scale, implying a supply shock may affect the demand side. Those who perceive a higher level of severity of the pandemic are less likely to return to their old habits. Finally, although consumers' food stockpiling behavior fluctuates with the tide of COVID-19 pandemic, it gradually returns to old habits over time.

Objective: COVID-19 prevention and control demand a reduction in crowd gathering, which has a significant impact on traditional teaching and offline case-based learning (CBL). In order to mitigate the impact of the COVID-19 outbreak on clinical teaching, we aimed to compare the effects of an online CBL with traditional teaching model on learning outcomes of anesthesia residents., Methods: Residents rotated in the Department of Anesthesiology in Beijing Tsinghua Changgung Hospital from January 2020 to February 2021 were included in Group W (n = 19), which implemented the W-CBL teaching model. The performance of residents was evaluated with theory test and 2 survey questionnaires (A and B) were conducted after 1 month of rotating. All 20 residents rotating in the Department of Anesthesiology at our hospital from January 2018 to December 2019 were included in Group C, which implemented the traditional teaching model. Their examination results were acquired through the teaching files and survey questionnaire (A) were administered through WeChat., Results: During the 1-month rotation, a total of 10 cases were discussed in Group W. The average score for theory test was higher in Group W than that in Group C (84.57 ± 4.87 vs. 79.35 ± 3.70, P = 0.001). The satisfaction rate was also in favor of Group W regarding to clinical thinking, communication skills, learning interest and self-learning ability (P < 0.05)., Conclusions: Online CBL based on WeChat platform is an effective and acceptable teaching strategy in comparison to lecture-based learning (LBL) among residents embarking on clinical anesthesia courses., (© 2021. The Author(s).)

Objective: To evaluate the effects of different stroke volume variation (SVV) targets on endothelial glycocalyx (EG) shedding., Study Design: Randomised controlled trial., Place and Duration of Study: Department of Anaesthesiology, Peking University International Hospital, Beijing, China, from February to June 2018., Methodology: Patients undergoing elective retroperitoneal tumour resection were assigned to one of two groups. SVV 9% group (n=40), who received a more traditional (liberal) fluid therapy with SVV ≤9%; and the SVV 14% group (n=40), received restrictive fluid therapy with SVV ≤14%. Patients' serum concentrations of syndecan-1 (SDC-1), interleukin-6 (IL-6) and tumour necrosis factor-α (TNF-α) were measured at the time that patients entered the operating theatre; at 1- and 4-hours following initiation of the surgery; and at 24- and 72-hours post-surgery. Postoperative complications, and one-year survival rates were also noted., Results: Perioperative serum SDC-1, IL-6 and TNF-α concentrations were significantly elevated in both groups, which were more pronounced in SVV 9% (p = 0.028, <0.001, and <0.001 respectively). A positive correlation was observed between SDC-1 and TNF-α, L-6, and infusion volume, respectively. Postoperative complications, including fever and blood transfusion, were more aggravated in SVV 9% than those in SVV 14% (80% vs. 59%, and 45% vs. 23.1%, both p <0.05). However, no significant difference in the one-year survival rate was observed., Conclusion: Using SVV 14% as a target for guiding fluid therapy in elective retroperitoneal tumour resection was associated with reduced perioperative glycocalyx shedding, ameliorated inflammatory response, and reduced postoperative complications. Key Words: Randomised controlled trial, Retroperitoneal neoplasms, Glycocalyx, Tumour necrosis factor-alpha, Interleukin-6, Fluid therapy, Stroke volume.

Promoting farmland transfer through the farmland rental market is an essential instrument to achieve the scale economy of agricultural production in China. However, past literature on the land reform in China pays more attention to the renting-in household or the renting-out household, respectively, less to both types of households together. Using a large-scale survey of farm households in China, we examine the determinants of participation in the farmland rental market and quantify the impact of the rental market on farmers' income. Findings show household off-farm income, family members' part-time employment, agricultural subsidies, and participation in agricultural cooperatives significantly affect farmers' participation in the farmland rental market. Participation in the farmland rental market significantly increases the income of renting-in households, while it decreases the income of renting-out households, which might result from the temporary lag effect of the land system reform., Competing Interests: The authors have declared that no competing interests exist.

BACKGROUND We have undertaken this investigation to explore the perioperative risk factors of new-onset chronic kidney disease (NOCKD) after orthotopic liver transplantation (OLT), and to provide an early prediction model for the screening of NOCKD high-risk populations. MATERIAL AND METHODS A retrospective case-control study was performed in adult recipients who received OLT in our center between January 2018 and January 2020. Perioperative data were collected using the center's electronic medical record system. Logistics regression analysis was used to determine risk factors for NOCKD within 1 year following OLT. Kaplan-Meier and log-rank tests were used to evaluate the 1-year survival of recipients with NOCKD or without NOCKD. RESULTS A total of 174 patients were included in this study, and 29 patients developed NOCKD after OLT. Logistic multivariate regression analysis showed that preoperative diabetes, high model for end-stage liver disease (MELD) score, postoperative acute kidney injury (AKI), and postoperative renal replacement therapy (RRT) were independent risk factors for NOCKD 1 year after OLT. The 1-year survival rate of NOCKD recipients waas significantly lower than that of patients who did not receive NOCKD. CONCLUSIONS Diabetes mellitus, MELD score, postoperative AKI, and requirement for postoperative RRT are independent risk factors for NOCKD after OLT, which may have great potential for personalized decision making and predicting the 1-year postoperative mortality of the recipient.

Circular RNAs (circRNAs) have been shown to be involved in the progression of many diseases, including cancer. However, the role of circ&#95;0101802 in the proliferation, migration and invasion of colorectal cancer (CRC) has not been studied. Our results showed that circ&#95;0101802 was highly expressed in CRC tumor tissues and cells. Functional experiments suggested that circ&#95;0101802 knockdown could inhibit the proliferation, migration and invasion of CRC cells in vitro and CRC tumorigenesis in vivo. In the terms of mechanism, we discovered that circ&#95;0101802 could act as a sponge of miR-1236-3p, and miR-1236-3p could target MACC1. The rescue experiments revealed that miR-1236-3p inhibitor could reverse the inhibition effect of circ&#95;0101802 silencing on CRC proliferation, migration and invasion, and MACC1 overexpression also could abolish the negative regulation of miR-1236-3p on CRC proliferation, migration and invasion. More important, our data confirmed that circ&#95;0101802 sponged miR-1236-3p to positively regulate MACC1. In summary, our results revealed that circ&#95;0101802 functioned as a tumor promoter in CRC, which could facilitate CRC proliferation, migration and invasion via regulating the miR-1236-3p/MACC1 axis., Competing Interests: Declaration of competing interest The authors have no conflict of interest to declare., (Copyright © 2021 The Authors. Production and hosting by Elsevier B.V. All rights reserved.)

Background: Fresh shrimp are highly perishable seafood and a reliable spoilage assessment method is necessary to ensure sufficient quality control. The current quality evaluation method employed by the US Food and Drug Administration (FDA)/National Oceanic and Atmospheric Administration (NOAA) uses subjective terms 'odor of decomposition' to reject shrimp shipments, which lacks reference standards to anchor the concept and can cause ambiguity. The present study aimed to develop chemical reference standards to assist in a more objective and consistent sensory evaluation of shrimp quality., Results: Chemical references were developed and used by the descriptive panel to demonstrate the aroma quality indicators of shrimp. The most important aroma attributes describing shrimp quality changes were 'salty water-like', 'natto water-like' and 'sour milk-like' based on the results of multiple linear regression analysis. The overall rating consistency of the key quality indicators was confirmed by trained a descriptive panel such that the intensity scores in two separated evaluation sessions (30 days apart) were not significant different (P > 0.05). The sensory ratings also corresponded well with presumed FDA/NOAA grades of shrimp. An untrained panel also confirmed 'salty water-like' as the main indicator of freshness and 'natto water-like' as the main indicator of spoilage, whereas the discriminative capacity was lower compared to the trained panel., Conclusion: The developed chemical references of key aroma quality indicators allowed the trained and untrained panels to distinguish shrimp of different freshness levels. The results indicate the potential of using chemical references as a new evaluation tool for on-site quality inspection or industrial quality assurance/quality control of shrimp with improved objectivity and consistency. © 2021 Society of Chemical Industry., (© 2021 Society of Chemical Industry.)

In the midst of a global pandemic, prevention methods stand as a crucial first step toward addressing the public health crisis and controlling the spread of the virus. However, slowing the spread of the virus hinges on the public's willingness to follow a combination of mitigation practices to avoid contracting and transmitting the disease. In this study, we investigate the factors related to individuals' risk perceptions associated with COVID-19 as well as their general self-assessed risk preferences. We also provide insights regarding the role of risk perceptions and preferences on mitigation behavior by examining the correlation between these risk measures and both the likelihood of following various mitigation practices and total number of practices followed. Although we find both risk perceptions and preferences to be significantly correlated with mitigation behaviors, risk perceptions are correlated with a larger number of practices. Additionally, we find significant heterogeneity in mitigation behaviors across numerous individual and household characteristics. These results can serve as a benchmark for the design and development of interventions to increase awareness and promote higher adoption of mitigation practices., Competing Interests: The authors have declared that no competing interests exist.

Background: The synchronous primary right-sided and left-sided colon cancer (sRL-CC) is a peculiar subtype of colorectal cancer. However, the genomic landscape of sRL-CC remains elusive. Methods: Twenty-eight paired tumor samples and their corresponding normal mucosa samples from 14 patients were collected from the Second Affiliated Hospital of Harbin Medical University from 2011 to 2018. The clinical-pathological data were obtained, and whole-exome sequencing was performed based on formalin-fixed and paraffin-embedded samples of these patients, and then, comprehensive bioinformatic analyses were conducted. Results: Both the lesions of sRL-CC presented dissimilar histological grade and differentiation. Based on sequencing data, few overlapping SNV signatures, onco-driver gene mutations, and SMGs were identified. Moreover, the paired lesions harbored a different distribution of copy number variants (CNVs) and loss of heterozygosity. The clonal architecture analysis demonstrated the polyclonal origin of sRL-CC and inter-cancerous heterogeneity between two lesions. Conclusion: Our work provides evidence that lesions of sRL-CC share few overlapping mutational signatures and CNVs, and may originate from different clones., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Hu, Zhang, Huang, Gao, Yuan, Tang, Gao, Wang, Zhang, Ma, Qiao, Jin and Wang.)

Heterojunction photocatalyst with efficient photocatalytic performance can remarkably promote the separation of photogenerated charge carriers. Herein, a ternary photocatalyst, reduced graphene oxide (RGO) based CeO 2 modified with CdS (CeO 2 /CdS/RGO), was synthesized by a simple one-step hydrothermal method as a bifunctional catalyst for both photodegradation and photoreduction. The ternary composite exhibited a 90.04% photodegradation efficiency to ciprofloxacin (CIP) under simulated sunlight irradiation for 2 h, much higher than CeO 2 (54%). Moreover, CeO 2 /CdS/RGO showed broad applicability to the photodegradation of organic pollutants, including norfloxacin (NFX), tetracycline (TC), methylene blue (MB), rhodamine B (RhB), methyl violet (MV), methyl orange (MO) and reactive blue BES (RB). Besides, CeO 2 /CdS/RGO exhibited a 100.00% photoreduction efficiency to Cr(VI) within 60 min. The improvement of the photocatalytic performance is ascribed to the modification of CeO 2 with CdS, which improves the separation efficiency of photogenerated carriers. Also, the modification with RGO inhibits the agglomeration of CeO 2 , improves the adsorption capacity toward pollutants and provides another nanochannel to separate photogenerated electron-hole (e - -h + ) pairs. Additionally, the photocatalytic mechanism of CeO 2 /CdS/RGO is explored. It is expected that this work would provide a promising way to construct efficient and versatile RGO-based photocatalysts applied to environmental remediation., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Background: Maintenance of the function and survival of liver sinusoidal endothelial cells (LSECs) play a crucial role in hepatic ischemia/reperfusion (I/R) injury, a major cause of liver impairment during the surgical treatment. Emerging evidence indicates a critical role of microRNAs in I/R injury. This study aims to investigate whether miR-9-5p exerts a protective effect on LSECs., Methods: We transfected LSECs with miR-9-5p mimic or mimic NC. LSECs were treated with oxygen and glucose deprivation (OGD, 5% CO 2 , and 95% N 2 ), followed by glucose-free Dulbecco's modified Eagle's medium (DMEM) medium for 6 h and high glucose (HG, 30 mmol/L glucose) DMEM medium for 12 h. The biological role of miR-9-5p in I/R-induced LSEC injury was determined., Results: In the in vitro model of OGD/HG injury in LSECs, the expression levels of miR-9-5p were significantly downregulated, and those of CXC chemokine receptor-4 (CXCR4) upregulated. LSEC I/R injury led to deteriorated cell death, enhanced oxidative stress, and excessive inflammatory response. Mechanistically, we showed that miR-9-5p overexpression significantly downregulated both mRNA and protein levels of CXCR4, followed by the rescue of LSECs, ameliorated inflammatory response, and deactivation of pro-apoptotic signaling pathways., Conclusions: miR-9-5p promotes LSEC survival and inhibits apoptosis and inflammatory response in LSECs following OGD/HG injury via downregulation of CXCR4., Competing Interests: Conflict of interest: The authors state no conflict of interest., (© 2021 Yi Duan et al., published by De Gruyter.)

Background: Natural orifice specimen extraction surgery (NOSES) has been successfully applied to the treatment of gastric, colorectal cancer (CRC). However, the development of NOSES is still in the exploratory stage, and there is still no strong evidence-based medical evidence., Patients and Methods: From January 2013 to June 2017, consecutive patients with colorectal cancer who underwent transluminal resection, anastomosis, and specimen extraction and those who underwent conventional laparoscopic resection were enrolled. Propensity score matching was used to align clinicopathological features between the two groups., Results: A total of 372 patients were eventually included in this study, 186 in each group. According to perioperative information and postoperative follow-up in both groups, the NOSES group had less blood loss (P = 0.011), shorter time to recovery of gastrointestinal function (P < 0.001), shorter postoperative hospital stay (P = 0.037). The NOSES group had fewer postoperative analgesics (P < 0.001), lower postoperative pain scores (P < 0.001), and lower incidence of postoperative complications (P = 0.017). Compared with the LA (laparoscopic) group, the NOSES group had better physical function (P<0.05), role function (P<0.001), emotional function (P<0.001) and global health status than LA group, while symptoms such as pain (P<0.001), insomnia (P<0.001), constipation (P<0.001) and diarrhea (P<0.05) were less severe in the NOSES group. In addition, the NOSES group had higher body image scores. Overall survival (OS) and disease-free survival (DFS) were not significantly different between the two groups., Conclusion: For surgical treatment of colorectal cancer, NOSES has advantages in reducing postoperative pain, recovery of gastrointestinal function, postoperative quality of life, and improving patients' satisfaction with abdominal wall aesthetics. There was no difference in long-term survival between NOSES and conventional laparoscopic surgery., Competing Interests: The authors report no conflicts of interest in this work., (© 2021 Tang et al.)

This paper investigates an anti-disturbance sliding mode control strategy for a rigid satellite system with external disturbance under the prescribed performance constraints. An interval observer is firstly introduced to generate the interval estimation of the attitude angular velocity. Then a finite time identical disturbance reconstruction strategy is developed by using the interval estimation. Based on the novel performance function and error transformation constraints, the attitude tracking error is converted into a new error system that guarantees the desired transient and steady-state responses for the tracking error. Then, by introducing the reconstructed disturbance, a finite time anti-disturbance controller is constructed with the backstepping method. The stability of the strategy is guaranteed by the Lyapunov stability method. Finally, simulation results demonstrate the effectiveness of the proposed approach., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 ISA. Published by Elsevier Ltd. All rights reserved.)

Coking industry is an important volatile organic compounds (VOCs) emission source in China, however, detailed information on VOCs emissions is lacking. Therefore, we selected a typical mechanized coking plant and collected air samples according to the Emission Standard of Pollutants for Coking Chemical Industry (GB16171-2012). Using gas chromatography-mass spectrometry method, we analyzed the VOCs in the air samples, and applied maximum increment reactivity (MIR) rule to estimate ozone formation potential (OFP) of the VOCs emitted from the coke production. More than 90 VOCs species were detected from the coking plant, including alkanes, alkenes, alkynes, aromatic hydrocarbons, halogenated hydrocarbons and oxygenated VOCs. The concentrations of VOCs (ρ(VOCs)) generated at different stages of the coking process are significantly different. ρ(VOCs) from coke oven chimney had the highest concentration (87.1 mg/m 3 ), followed by coke pushing (4.0 mg/m 3 ), coal charging (3.3 mg/m 3 ) and coke oven tops (1.1 mg/m 3 ). VOCs species emitted from the coke production processes were dominated by alkanes and alkenes, but the composition proportions were different at the different stages. Alkenes were the most abundant emission species in flue gases of the coke oven chimney accounting for up to 66% of the total VOCs, while the VOCs emissions from coke pushing and coal charging were dominated by alkanes (36% and 42%, respectively), and the alkanes and alkenes emitted from coke oven top were similar (31% and 29%, respectively). Based on above results, reduction of VOCs emissions from coke oven chimney flue gases is suggested to be an effective measure, especially for alkenes., Competing Interests: Declaration of competing interest This manuscript “Characteristics and Ozone Formation Potential of Volatile Organic Compounds in Emissions from a Typical Chinese Coking Plant” has no conflict of Interest., (Copyright © 2020. Published by Elsevier B.V.)

Background : Lymph node examination is a prognostic indicator for colon cancer (CC) patients. The aim of this study was to develop and validate a preoperative risk prediction model for inadequate lymph node examination. Methods : 24284 patients diagnosed as stage I-III CC between 2010-2014 were extracted from SEER database and randomly divided into development cohort (N=12142) and internal validation cohort (N=12142). 680 patients diagnosed as stage I-III CC between 2012-2014 were extracted from our hospital as external validation cohort. Logistic regression analysis was performed and risk score of each factor was calculated according to model formula. Model discrimination was assessed using C-statistics. Results : Preoperative risk factors were identified as gender, age, tumor site and tumor size. Patients with total risk score of 0-6 were considered as low risk group while patients scored ≥13 were considered as high risk group. The model had good discrimination and calibration in all cohorts and could apply to patients in the SEER database (American population) and patients in our hospital (Chinese population). Conclusions : The model could accurately predict the risk of inadequate lymph node examination before surgery and might provide useful reference for surgeons and pathologists., Competing Interests: Competing Interests: The authors have declared that no competing interest exists., (© The author(s).)

Consumer behavior changes differently in emergencies. Understanding consumer food stockpiling behavior during COVID-19 pandemic can provide critical information for governments and policymakers to adjust inventory and response strategies. This paper analyzed consumer food stockpiling behavior, including the change of food reserve scale and willingness to pay for fresh food reserves in COVID-19. Our paper shows that the scale of food reserve extends from 3.37 to 7.37 days after the outbreak of COVID-19; if available, consumers on average are willing to pay 18.14 yuan (60.47%) premium for fresh products reserves. The result shows that food stockpiling behavior is fueled by a set of multiple motivations and subjective risk perception. Female, high education level and high-income consumers were more likely to reserve larger scale food reserves, but consumers' willingness to pay for fresh food reserves is determined by income. This study was conducted when new infection cases continued to rise in the world. The story of food stockpiling during the COVID-19 pandemic in China is similar with the rest of world. Consumer stockpiling behavior in China can also be expanded to other countries to predict the change of food demand and understand more about consumer preferences in emergencies., Competing Interests: Conflict of interestThe authors declared that they have no conflict of interest., (© The Author(s) 2020.)

Pinpointing subcellular protein localizations from microscopy images is easy to the trained eye, but challenging to automate. Based on the Human Protein Atlas image collection, we held a competition to identify deep learning solutions to solve this task. Challenges included training on highly imbalanced classes and predicting multiple labels per image. Over 3 months, 2,172 teams participated. Despite convergence on popular networks and training techniques, there was considerable variety among the solutions. Participants applied strategies for modifying neural networks and loss functions, augmenting data and using pretrained networks. The winning models far outperformed our previous effort at multi-label classification of protein localization patterns by ~20%. These models can be used as classifiers to annotate new images, feature extractors to measure pattern similarity or pretrained networks for a wide range of biological applications.

Ultrasonography (US) proficiency has become a desirable skill for anesthesia providers. It is commonly used in the perioperative arena for establishing peripheral and central vascular access. Establishing intravenous access is one of the most common procedures performed by Certified Registered Nurse Anesthetists (CRNAs) as frontline anesthesia providers. However, there is no structured US training program for CRNAs for vascular access at our institution. We designed and implemented a multimodality US training program specifically for the use of surface US for central and peripheral vascular access for CRNAs. The course was conducted over 2 days and consisted of an online self-paced didactic component, integrated proctored hands-on workshops, and a posttraining examina-tion to quantify knowledge gain. Twenty-five CRNAs attended the course, with significant improvement in knowledge (pretest mean (SD) score = 59.13% (15.74%) vs posttest mean score = 70.0% (9.43%), P = .03). Two weeks after the course, each participant reported that they attempted 1.46 (1.56) ultrasound-guided vascular access procedures on average. Therefore, it is feasible to design short, focused, multimodality training programs for proficiency in the use of surface US for obtaining venous access. The CRNA's proficiency in US is likely to improve efficiency, patient experience, and safety., Competing Interests: The authors have declared no financial relationships with any commercial entity related to the content of this article. The authors did not discuss off-label use within the article. Disclosure statements are available for viewing upon request., (Copyright© by the American Association of Nurse Anesthetists.)

Intraoperative evaluation of mitral regurgitation is a complex undertaking. Bileaflet prolapse/flail can result in divergent mitral regurgitation jets with a characteristic "crossed swords sign" appearance. We present a case of divergent mitral regurgitation jets that were detected intraoperatively and evaluated using 3-dimensional imaging. The accurate assessment of eccentric mitral regurgitation jets, especially bilateral eccentric mitral regurgitation jets, is challenging before surgical repair. Intraoperative 3-dimensional transesophageal echocardiography with and without color-flow Doppler can significantly improve the localization of the anatomical lesion.

In this paper, a quantum identity authentication protocol is presented based on the counterfactual quantum key distribution system. Utilizing the proposed protocol, two participants can verify each other's identity through the counterfactual quantum communication system. The security of the protocol is proved against individual attacks. Furthermore, according to the characteristics of the counterfactual quantum key distribution system, we propose an authenticated counterfactual quantum key distribution protocol based on a novel strategy of mixing the two types of quantum cryptographic protocols randomly. The authenticated quantum key distribution can also be used to update the extent of the authentication keys.