Cutting mechanics and efficiency of forward and reverse multidirectional turning

Open Access via the Elsevier Agreement. This work was partially supported by Sichuan Science and Technology Program (23MZGC0052), the General Research Fund of Hong Kong Research Grant Council (PolyU15500721), National Natural Science Foundation of China (No. 51875480).Peer reviewedPublisher PD

Fate and Transport of Manure Estrogenic Compounds During Integrated Treatment for Water Quality and Bioenergy Production

An integrated manure treatment system, including a mixed algal-bacterial bioreactor (MABB) and hydrothermal conversion of biosolids to biofuels, was found to remove 76-97% of the total estrogenic hormones from the liquid portion of animal manure. The resulting biosolids mixture could be hydrothermally converted into either biocrude oil with a yield of up to 40% yield, or syngas with a yield of up to 54%. Adding biologically activated carbon in the MABB enhanced the removal of estrogenic hormones (+7.2%), cytotoxicity (+58%), and heavy metals (+10%). Thus, the novel manure treatment system proposed in this study highlights a new paradigm that can simultaneously reduce the release of emerging contaminants from animal manure to the environment and provide value-added bioenergy co-products to help offset the cost of providing environmental benefits.Ope

Association between admission-blood-glucose-to-albumin ratio and clinical outcomes in patients with ST-elevation myocardial infarction undergoing percutaneous coronary intervention

IntroductionIt is unclear whether admission-blood-glucose-to-albumin ratio (AAR) predicts adverse clinical outcomes in patients with ST-segment elevation myocardial infarction (STEMI) who are treated with percutaneous coronary intervention (PCI). Here, we performed a observational study to explore the predictive value of AAR on clinical outcomes.MethodsPatients diagnosed with STEMI who underwent PCI between January 2010 and February 2020 were enrolled in the study. The patients were classified into three groups according to AAR tertile. The primary outcome was in-hospital all-cause mortality, and the secondary outcomes were in-hospital major adverse cardiac events (MACEs), as well as all-cause mortality and MACEs during follow-up. Logistic regression, Kaplan–Meier analysis, and Cox proportional hazard regression were the primary analyses used to estimate outcomes.ResultsAmong the 3,224 enrolled patients, there were 130 cases of in-hospital all-cause mortality (3.9%) and 181 patients (5.4%) experienced MACEs. After adjustment for covariates, multivariate analysis demonstrated that an increase in AAR was associated with an increased risk of in-hospital all-cause mortality [adjusted odds ratio (OR): 2.72, 95% CI: 1.47–5.03, P = 0.001] and MACEs (adjusted OR: 1.91, 95% CI: 1.18–3.10, P = 0.009), as well as long-term all-cause mortality [adjusted hazard ratio (HR): 1.64, 95% CI: 1.19–2.28, P = 0.003] and MACEs (adjusted HR: 1.58, 95% CI: 1.16–2.14, P = 0.003). Receiver operating characteristic (ROC) curve analysis indicated that AAR was an accurate predictor of in-hospital all-cause mortality (AUC = 0.718, 95% CI: 0.675–0.761) and MACEs (AUC = 0.672, 95% CI: 0.631–0.712).DiscussionAAR is a novel and convenient independent predictor of all-cause mortality and MACEs, both in-hospital and long-term, for STEMI patients receiving PCI

Influence analysis of beam support mode on linear guide deformation

As the basis of carrying guide rail operation, beam support mode has been widely used in high-end manufacturing, equipment, mechanical engineering and other fields. With beam support and rotating structure driving position and attitude changes, flexible three-dimensional space movement can be realized.The key technology of the beam support to drive the branch guide rail is to control the deformation of the guide rail. The deformation of the guide rail mainly affects the guide rail structure, stiffness, supporting mode, driver design and load, etc.When the driving mode, driving position and driving force, guide bracket (including bracket and connection mode) and load (including mass load, load moving position and moving range) are determined,Or affected by the use of the requirements of the adjustment range is very small, the beam support mode becomes the main influencing factor of guide deformation, especially in the rotary state of the branch guide, guide force, deformation, deflection and so on will show different trends, such as the maximum deformation of the driving end may be 26 times.This paper through the analysis of the main parameters affecting the guide rail deformation characteristics, the default part, on the basis of mathematical modeling and simulation analysis with Solidworks software, compare a variety of support and attitude under the guide of stress and deformation, gives the relative deformation degree under different mode, can provide a reference for relevant involved

In Situ Charge Exfoliated Soluble Covalent Organic Framework Directly Used for Zn-Air Flow Battery

Covalent organic frameworks (COFs) are generally obtained as insoluble, cross-linked powders or films, hindering their superior processable properties especially for device implementation. Here, a soluble COF is created with atomically well-organized positive charged centers constrained in the planar direction, exhibiting exceptional solubility through an in situ charge exfoliation pathway. Once dissolved, the obtained true solution retains homogeneity even after standing over a year. Moreover, the as-designed soluble COF contains ordered N-coordinated Fe single atom centers and conjugated structures, providing a small work function (4.84 eV) and superior catalytic performance for oxygen reduction (high half-wave potential of similar to 900 mV). The obtained COF true solution can be directly used as a highly efficient Pt-replaced catalyst for zinc-air flow batteries, generating prominent performance and outstanding stability

Duality of the SVIL expression in bladder cancer and its correlation with immune infiltration

Abstract SVIL is a member of the villin/gelsolin superfamily and is responsible for encoding supervillin. It has been reported to be closely related to the occurrence and development of various tumors. However, the mechanism of SVIL in bladder cancer has not been reported yet. In this research, we evaluated the relationship between SVIL expression and bladder cancer in public dataset and examined the expression of SVIL in bladder cancer cell lines, tissue microarrays and patients in our cohort. Our work determined that the expression of SVIL in bladder cancer tissue was significantly lower than that in normal tissue. However, in bladder cancer tissues, the high expression of SVIL is significantly associated with poor prognosis. This kind of duality is very novel and has great research value. The expression level of SVIL can well predict the survival time of bladder cancer patients, and is an independent risk factor of bladder cancer patients. The expression of SVIL is also closely related to the immune tumor microenvironment of bladder cancer. Our research provides a basis for personalized therapeutic targets for bladder cancer

Machine-learning assisted compositional optimization of 2xxx series aluminum alloys towards tensile strength

High-strength 2xxx series aluminum alloys (Al-Cu system) have been favored by the aerospace and railway transportation industries. Traditionally, developing new materials with targeted properties is guided by extensive experiments and expert experience, causing the development process to be dismayingly slow and expensive. Here, a Kriging model-based efficient global optimization(EGO) lgorithm is applied to search for new 2xxx series aluminum alloys with high tensile strength in a huge search space. After four iterations, the alloy’s ultimate tensile strength increased by 60 MPa, which is higher than that of the best alloy in the initial data set. This study demonstrates the feasibility of using machine-learning to search for 2xxx alloys with good mechanical performance

Establishing an Efficient Electroporation-Based Method to Manipulate Target Gene Expression in the Axolotl Brain

The tetrapod salamander species axolotl ( Ambystoma mexicanum ) is capable of regenerating injured brain. For better understanding the mechanisms of brain regeneration, it is very necessary to establish a rapid and efficient gain-of-function and loss-of-function approaches to study gene function in the axolotl brain. Here, we establish and optimize an electroporation-based method to overexpress or knockout/knockdown target gene in ependymal glial cells (EGCs) in the axolotl telencephalon. By orientating the electrodes, we were able to achieve specific expression of EGFP in EGCs located in dorsal, ventral, medial, or lateral ventricular zones. We then studied the role of Cdc42 in brain regeneration by introducing Cdc42 into EGCs through electroporation, followed by brain injury. Our findings showed that overexpression of Cdc42 in EGCs did not significantly affect EGC proliferation and production of newly born neurons, but it disrupted their apical polarity, as indicated by the loss of the ZO-1 tight junction marker. This disruption led to a ventricular accumulation of newly born neurons, which are failed to migrate into the neuronal layer where they could mature, thus resulted in a delayed brain regeneration phenotype. Furthermore, when electroporating CAS9-gRNA protein complexes against TnC ( Tenascin-C ) into EGCs of the brain, we achieved an efficient knockdown of TnC . In the electroporation-targeted area, TnC expression is dramatically reduced at both mRNA and protein levels. Overall, this study established a rapid and efficient electroporation-based gene manipulation approach allowing for investigation of gene function in the process of axolotl brain regeneration