sj-docx-1-ltr-10.1177_13621688211060428 – Supplemental material for L2 competence in Chinese correlative connectives: A case of discontinuous discursive formulaic sequences

Supplemental material, sj-docx-1-ltr-10.1177_13621688211060428 for L2 competence in Chinese correlative connectives: A case of discontinuous discursive formulaic sequences by Yuan Lu in Language Teaching Research</p

Appendix_1-5 – Supplemental material for L2 distribution of Chinese connectives: Towards a comprehensive understanding of a discourse grammar

Supplemental material, Appendix_1-5 for L2 distribution of Chinese connectives: Towards a comprehensive understanding of a discourse grammar by Yuan Lu in Second Language Research</p

Explaining quantum entanglement with an inference from Einstein’s mass-energy equivalence relation

We proved that the photon entanglement system and the independent photon system have the same intrinsic time based on the "mass-energy equivalence" inference of Einstein's relativity theory. From this result, we revealed the feature of the non-flowing intrinsic time of quantum entanglement system. Based on this feature, we deciphered the phenomenon of quantum entanglement and its non-locality

Toward Minimal Transcription–Translation Machinery

With the advantages of simple genetic composition, low metabolic background, low energy waste, and high genetic stability, genome-reduced strains, as promising functional chassis, have become an intensive direction for constructing potent biosynthesis factories. Herein, an innovative Genome-Reduced strain-based Active Cell-free Easy-to-make-protein (GRACE) system is built as minimal transcription–translation machinery. In this study, two Escherichia coli genome-reduced strains, ΔW3110 and ΔMG1655, with genome reduction of 11.53% and 37.85%, are fused with the cell-free transcription–translation (CFTT) system. The GRACE systems perform better than the corresponding CFTT systems derived from their parental strains in representative valuable applications, such as the expression and solubilization of membrane proteins or protein polymers, biosensing of inorganic or organic molecules based on different principles, and unnatural amino acid embedding. Obviously, the GRACE system has provided a brand-new enabling platform for cell-free transcription–translation basic and applied studies and also would inspire the potential of genome-reduced strains for versatile applications

A Temperature-Controlled Cell-Free Expression System by Dynamic Repressor

The cell-free protein synthesis (CFPS) system is a typical protein production platform in the field of synthetic biology. However, there are limitations in controlling protein synthesis in the CFPS system. Compared with the traditional method of adding chemicals, temperature is an ideal control switch to achieve precise spatiotemporal control with few side effects. Hence, the design of a temperature-controlled cell-free protein synthesis (tcCFPS) system based on E. coli was carried out with the repressor cI protein in this study. The corresponding tcCFPS achieved a 143-fold dynamic protein expression level at 37 °C than that at 30 °C. Besides, the artificial cell controlled by temperature was constructed to expand the applications of tcCFPS. This study provides a new effective method for active protein synthesis in a cell-free system and a potential means of drug synthesis and delivery

Prediction of the Reactivity Hazards for Organic Peroxides Using the QSPR Approach

Organic peroxides can thermally decompose and may lead to runaway reactions. These reactivity hazards have been reported as one of the main causes for fire and explosion in process industries. The risk associated with runaway reactions of organic peroxides can be minimized by employing the inherently safer design (ISD) principles: substitution and moderation of hazardous peroxides in chemical processes. However, the application of ISD concepts requires lengthy evaluations and classification of reactivity hazards of organic peroxides, which are impractical to be done through experimental approach due to the large number of peroxide members and great variations in their reactivity hazards. In this work, the quantitative structure−property relationship (QSPR) was used to predict the detected onset temperature (T0) and heat of decomposition (Qd) of organic peroxides for the estimation of thermal stability and severity of runaway reactions. In addition to the conventional descriptors used in QSPR, we used other properties of the peroxides such as concentration and the number of peroxide functional group as additional descriptors to construct accurate and economic models to predict reactivity hazards. Partial least-squares method (PLS) and multiple linear regression method (MLR) were used to model T0 and Qd. It was found that the regression model derived from the PLS method give better prediction for reactivity hazards of organic peroxides. Sensitivity analyses were also performed to identify important descriptors contributing to the reactivity hazards of organic peroxides. The proposed study describes a new approach to identify the reactivity hazards of organic peroxides that may lead to safe practices in the process industries

Fabrication of Nitric Oxide-Releasing Porous Polyurethane Membranes-Coated Needle-type Implantable Glucose Biosensors

The active release of pharmaceutical agents and the use of porous sensor membranes represent the two most promising strategies for addressing the poor tissue biocompatibility of implantable glucose biosensors. Herein, we describe the combination of these approaches to create nitric oxide (NO)-releasing porous fiber mat-modified sensor membranes. An electrospinning method was used to directly modify needle-type glucose biosensors with the NO donor-loaded fibers. The resulting NO-releasing fiber mat (540 ± 139 nm fiber diameter, 94.1 ± 3.7% porosity) released ∼100 nmol of NO per mg of polyurethane over 6 h while maintaining a porous structure without leaching of the NO donor, even in serum. The porous fiber membrane did not influence the analytical performance of the biosensor when ≤50 μm thick

Table_3_Conditions required to ensure successful detection and management of mild cognitive impairment in primary care: A Delphi consultation study in China.DOCX

ObjectiveDetection and management of mild cognitive impairment (MCI) in primary care has been recognized internationally as one of the strategies that can be employed to delay the development of dementia. However, little is known about what role primary care should play. This study aimed to develop a checklist of conditions necessary for successfully detecting and managing mild cognitive impairment in primary care in China.MethodsThis study employed the Delphi method to establish expert consensus on the conditions required for successfully detecting and managing MCI in primary care in China. Twenty-four experts who specialized in general practice, public health, neuropsychology, or community health service management rated the importance of pre-defined conditions (44 items measuring providers' preparedness, patient engagement, and system support in line with the Chronic Care Model). The degree of consensus among the experts was measured using four indicators: median ≥ 4, mean ≥3.5, Co-efficient of Variance ResultsThe experts endorsed a checklist of 47 conditions required for successful detection and management of MCI in primary care in China. These conditions were categorized into four domains: prepared general practitioners (17 items), engaged patients (15 items), organizational efforts (11 items), and environmental support (4 items).ConclusionsSuccessful detection and management of MCI in primary care in China requires a dedicated and competent workforce of general practitioners, as well as the engagement of patients and family caregivers. Adequate support from healthcare organizations, health system arrangements, and the broader society is needed to enable effective interactions between general practitioners and patients and efficient delivery of the services required to detect and manage MCI.</p

Table_1_Conditions required to ensure successful detection and management of mild cognitive impairment in primary care: A Delphi consultation study in China.pdf

ObjectiveDetection and management of mild cognitive impairment (MCI) in primary care has been recognized internationally as one of the strategies that can be employed to delay the development of dementia. However, little is known about what role primary care should play. This study aimed to develop a checklist of conditions necessary for successfully detecting and managing mild cognitive impairment in primary care in China.MethodsThis study employed the Delphi method to establish expert consensus on the conditions required for successfully detecting and managing MCI in primary care in China. Twenty-four experts who specialized in general practice, public health, neuropsychology, or community health service management rated the importance of pre-defined conditions (44 items measuring providers' preparedness, patient engagement, and system support in line with the Chronic Care Model). The degree of consensus among the experts was measured using four indicators: median ≥ 4, mean ≥3.5, Co-efficient of Variance ResultsThe experts endorsed a checklist of 47 conditions required for successful detection and management of MCI in primary care in China. These conditions were categorized into four domains: prepared general practitioners (17 items), engaged patients (15 items), organizational efforts (11 items), and environmental support (4 items).ConclusionsSuccessful detection and management of MCI in primary care in China requires a dedicated and competent workforce of general practitioners, as well as the engagement of patients and family caregivers. Adequate support from healthcare organizations, health system arrangements, and the broader society is needed to enable effective interactions between general practitioners and patients and efficient delivery of the services required to detect and manage MCI.</p

Table_4_Conditions required to ensure successful detection and management of mild cognitive impairment in primary care: A Delphi consultation study in China.DOCX

ObjectiveDetection and management of mild cognitive impairment (MCI) in primary care has been recognized internationally as one of the strategies that can be employed to delay the development of dementia. However, little is known about what role primary care should play. This study aimed to develop a checklist of conditions necessary for successfully detecting and managing mild cognitive impairment in primary care in China.MethodsThis study employed the Delphi method to establish expert consensus on the conditions required for successfully detecting and managing MCI in primary care in China. Twenty-four experts who specialized in general practice, public health, neuropsychology, or community health service management rated the importance of pre-defined conditions (44 items measuring providers' preparedness, patient engagement, and system support in line with the Chronic Care Model). The degree of consensus among the experts was measured using four indicators: median ≥ 4, mean ≥3.5, Co-efficient of Variance ResultsThe experts endorsed a checklist of 47 conditions required for successful detection and management of MCI in primary care in China. These conditions were categorized into four domains: prepared general practitioners (17 items), engaged patients (15 items), organizational efforts (11 items), and environmental support (4 items).ConclusionsSuccessful detection and management of MCI in primary care in China requires a dedicated and competent workforce of general practitioners, as well as the engagement of patients and family caregivers. Adequate support from healthcare organizations, health system arrangements, and the broader society is needed to enable effective interactions between general practitioners and patients and efficient delivery of the services required to detect and manage MCI.</p