DataSheet1_Identifying new safety risk of human serum albumin: a retrospective study of real-world data.docx

Objective: To mine and analyze the adverse reaction signals of human serum albumin (HSA) using the FDA adverse event reporting system (FAERS) database for the safe clinical use of this drug.Methods: Data cleaning and analysis of adverse event reports in the FAERS database for a total of 76 quarters from Q1 2004 to Q4 2022 were performed using the reporting odds ratio (ROR), Medicines and Healthcare Products Regulatory Agency (MHRA), and Bayesian confidence propagation neural network (BCPNN). Gender-differentiated signal detection was used to investigate the gender differences in the occurrence of HSA adverse events.Results: Through a combination of three methods, a total of 535 adverse event reports were identified. These reports involved 1,885 cases of adverse reactions, with respiratory, thoracic, and mediastinal disorders, as well as general disorders and administration site conditions, as the most common. One noteworthy new signal was the occurrence of transfusion-related acute lung injury. Additionally, gender-differentiated signals were present, with females experiencing paraesthesia, hypertension, pulmonary oedema, loss of consciousness, and vomiting.Conclusion: This study has revealed that HSA poses a risk of causing transfusion-related acute lung injury. It has also been observed that adverse reactions, including paraesthesia, hypertension, pulmonary oedema, loss of consciousness, and vomiting, are more prevalent in females. These findings should be taken into account when using HSA in a clinical setting.</p

Service humanoid robotics: a novel interactive system based on bionic companionship framework

At present, industrial robotics focuses more on motion control and vision, whereas humanoid service robotics (HSRs) are increasingly being investigated and researched in the field of speech interaction. The problem and quality of human-robot interaction (HRI) has become a widely debated topic in academia. Especially when HSRs are applied in the hospitality industry, some researchers believe that the current HRI model is not well adapted to the complex social environment. HSRs generally lack the ability to accurately recognize human intentions and understand social scenarios. This study proposes a novel interactive framework suitable for HSRs. The proposed framework is grounded on the novel integration of Trevarthen’s (2001) companionship theory and neural image captioning (NIC) generation algorithm. By integrating image-to-natural interactivity generation and communicating with the environment to better interact with the stakeholder, thereby changing from interaction to a bionic-companionship. Compared to previous research a novel interactive system is developed based on the bionic-companionship framework. The humanoid service robot was integrated with the system to conduct preliminary tests. The results show that the interactive system based on the bionic-companionship framework can help the service humanoid robot to effectively respond to changes in the interactive environment, for example give different responses to the same character in different scenes

Service Humanoid Robotics: Review and Design of a Novel Bionic-Companionship Framework

At present, industrial robotics focused more on motion control and vision; whereas Humanoid Service Robotics (HSRs) are increasingly being investigated among researchers’ and practitioners’ field of speech interactions. The problematic and quality of human-robot interaction (HRI) has become one of the hot potatoes concerned in academia. This paper proposes a novel interactive framework suitable for HSRs. The proposed framework is grounded on the novel integration of Trevarthen [24 Companionship Theory and neural image generation algorithm in computer vision. By integrating the image-to-natural interactivities generation, and communicate with the environment to better interact with the stakeholder, thereby changing from interaction to a bionic-companionship. In addition, the article also reviews the research of neural image generation algorithms and summarizes the application cases of the algorithm structure in the field of robotics from a critical perspective. We believe that the new interactive bionic-companionship framework can enable HSRs to further develop towards robot companions

Acceptorless Dehydrogenative Coupling of <i>o</i>‑Aminobenzamides with the Activation of Methanol as a C1 Source for the Construction of Quinazolinones

A strategy for the synthesis of quinazolinones via acceptorless coupling of <i>o</i>-aminobenzamides with methanol has been accomplished in the presence of the metal–ligand bifunctional catalyst [Cp*Ir­(2,2′-bpyO)­(H₂O)]. Notably, this research exhibited the potential of transition-metal-catalyzed activation of methanol as a C1 source for the construction of heterocycles

The effect of barium-promoted for microsphere Ru/CeO₂ catalysts in ammonia synthesis

In this essay, the effect of the morphology of the CeO2 support and the Ba promoter on the ammonia synthesis reaction was studied. CeO2 support with {110} and {100} crystal planes and more oxygen vacancies enhanced the catalytic activity of ammonia synthesis. The relatively uniform microspheres structure CeO2 support (CeO2-MS) with {110} and {100} crystal planes was synthesized. The structural functions of the as-synthesized CeO2 support for the Ru-based catalyst were investigated in the ammonia synthesis reaction. The results of catalytic performance showed that the catalytic activity of 2.5%Ru/CeO2-MS catalyst reached 8940 μmol· g−1· h−1 at 450 ℃, 3.8 MPa, H2/N2 = 3 (60 mL∙min−1), which is higher nearly 2.5 times than the 2.5%Ru/CeO2-commercial (CeO2-C). And the catalytic activity of catalysts increased with the increase of reaction temperature. The activity of 6º-2.5%Ru/CeO2-MS (24000 μmol· g−1· h−1) catalyst increased about 268% than that of catalyst without addition of Ba. Their physical and chemical properties were characterized by XRD, BET, HRTEM, H2-TPR, H2-TPD, and XPS analyses. Our results indicate that the 2.5%Ru/CeO2-MS catalyst and catalysts involving promoters (Cs, K, and Ba) exhibit significant support-morphology-dependent catalytic activity for ammonia synthesis.</p

Use of a Cyclometalated Iridium(III) Complex Containing a N^∧C^∧N-Coordinating Terdentate Ligand as a Catalyst for the α‑Alkylation of Ketones and <i>N</i>‑Alkylation of Amines with Alcohols

A cyclometalated iridium­(III) complex containing a N^∧C^∧N-coordinating terdentate ligand [Ir­(dpyx-<i>N</i>,<i>C</i>,<i>N</i>)­Cl­(μ-Cl)]₂ was found to be a general and highly effective catalyst for the α-alkylation of ketones and <i>N</i>-alkylation of amines with alcohols. In the presence of catalyst (1 mol % Ir) and base (0.2–0.5 equiv), a variety of desirable products were obtained in good yields under an air atmosphere. Notably, this research exhibited the new potential of Ir­(III) complexes bearing non-Cp* ligand and will facilitate the progress of the hydrogen autotransfer process

Printable soft grippers with integrated bend sensing for handling of crops [Abstract]

Printable soft grippers with integrated bend sensing for handling of crops [Abstract

Rapid and Directional Improvement of Elite Rice Variety via Combination of Genomics and Multiplex Genome Editing

High yield and superior quality are the main goals pursued by breeders for crop improvement. However, both of them are complex agronomic traits controlled by multiple genes, so the simultaneous improvement of these traits via sexual recombination is time-consuming and direction-uncontrolled. In this study, to solve this dilemma, we introduced the comparative genomic analysis based multiplex genome editing system (CG-MGE), a method for rapid and directional improvement of multiple traits. Application of this method, association analysis between genotypes and phenotypes was carried out to mine excellent alleles; subsequently, the rare excellent alleles of Gn1a, GW2, TGW3, and Chalk5 were simultaneously created by multiplex genome editing and successfully improved the plant architecture, grain yield, and quality of a widely cultivated elite rice variety. Overall, this study provides a method for rapid and directional improvement of crops, and the application of the CG-MGE will be helpful to accelerate rational design breeding

Subdomain-Specific Collapse of Denatured Staphylococcal Nuclease Revealed by Single Molecule Fluorescence Resonance Energy Transfer Measurements

By using single molecule fluorescence resonance energy transfer (smFRET), the equilibrium denaturation of staphylococcal nuclease (SNase) induced by guanidinium hydrochloride (GdmCl) has been investigated. We have characterized the collapse of the denatured chain and its relation to structure formation. Two mutants, K28C/H124C and K28C/K97C, were constructed and labeled for monitoring the behaviors of the global molecule and the β subdomain, respectively. For both the labeled mutants, only native and non-native conformations were observed, and the non-native conformations expanded with increasing GdmCl concentrations. The non-native chains of the two derivatives exhibited different changes of persistence length at higher GdmCl concentrations, suggesting a subdomain-specific collapse of the denatured state of SNase. This local chain specific collapse is likely to play a role in modulating the formation of early intermediate during protein folding

DataSheet_1_The value of metabolic LncRNAs in predicting prognosis and immunotherapy efficacy of gastric cancer.xlsx

IntroductionAs a unique feature of malignant tumors, abnormal metabolism can regulate the immune microenvironment of tumors. However, the role of metabolic lncRNAs in predicting the prognosis and immunotherapy of gastric cancer (GC) has not been explored.MethodsWe downloaded the metabolism-related genes from the GSEA website and identified the metabolic lncRNAs. Co-expression analysis and Lasso Cox regression analysis were utilized to construct the risk model. To value the reliability and sensitivity of the model, Kaplan–Meier analysis and receiver operating characteristic curves were applied. The immune checkpoints, immune cell infiltration and tumor mutation burden of low- and high-risk groups were compared. Tumor Immune Dysfunction and Exclusion (TIDE) score was conducted to evaluate the response of GC patients to immunotherapy.ResultsTwenty-three metabolic lncRNAs related to the prognosis of GC were obtained. Three cluster patterns based on metabolic lncRNAs could distinguish GC patients with different overall survival time (OS) effectively (pDiscussionThe metabolic lncRNAs risk model can reliably and independently predict the prognosis of GC. The feature that simultaneously map the immune status of tumor microenvironment and TMB gives risk model great potential to serve as an indicator of immunotherapy.</p