Safety and Quality Control on Imported Commodities

Following economic development and improved living standards in China in recent years, there has been a growing demand for foreign durable goods and household electrical appliances and motor cycles. However, some imported consumer goods have serious safety and quality defects.

China International Food Safety and Quality Conference 2007 Held in Beijing

Officials, experts and scholars from different countries and intemational organizations attended the China International Food Safety and Quality Conference 2007 on September 12-13. ……

Clinical value of precise rehabilitation nursing in management of cerebral infarction

BACKGROUND Cerebral infarction,previously referred to as cerebral infarction or ischemic stroke,refers to the localized brain tissue experiencing ischemic necrosis or softening due to disorders in brain blood supply,ischemia,and hypoxia.The precision rehabilitation nursing model for chronic disease management is a continuous,fixed,orderly,and efficient nursing model aimed at standardizing the clinical nursing process,reducing the wastage of medical resources,and improving the quality of medical services.AIM To analyze the value of a precise rehabilitation nursing model for chronic disease management in patients with cerebral infarction.METHODS Patients(n=124)admitted to our hospital with cerebral infarction between November 2019 and November 2021 were enrolled as the study subjects.The random number table method was used to divide them into a conventional nursing intervention group(n=61)and a model nursing intervention group(n=63).Changes in the nursing index for the two groups were compared after conventional nursing intervention and precise rehabilitation intervention nursing for chronic disease management.RESULTS Compared with the conventional intervention group,the model intervention group had a shorter time to clinical symptom relief(P<0.05),lower Hamilton Anxiety Scale and Hamilton Depression Scale scores,a lower incidence of total complications(P<0.05),a higher disease knowledge mastery rate,higher safety and quality,and a higher overall nursing satisfaction rate(P<0.05).CONCLUSION The precision rehabilitation nursing model for chronic disease management improves the clinical symptoms of patients with cerebral infarction,reducing the incidence of total complications and improving the clinical outcome of patients,and is worthy of application in clinical practice.

Bridging the gap:Neuro-Symbolic Computing for advanced AI applications in construction

Deep Learning(DL)has revolutionized the field of Artificial Intelligence(Al)in various domains such as computer vision(CV)and natural language processing.However,DL models have limitations including the need for large labeled datasets,lack of interpretability and explainability,potential bias and fairness issues,and limitations in common sense reasoning and contextual understanding.On the other side,DL has shown significant potential in construction for safety and quality inspection tasks using CV models.However,current CV approaches may lack spatial context and measurement capabilities,and struggle with complex safety and quality requirements.The integration of Neuro-Symbolic Computing(NSC),an emerging field that combines DL and symbolic reasoning,has been proposed as a potential solution to address these limitations.NSC has the potential to enable more robust,interpretable,and accurate AI systems in construction by harnessing the strengths of DL and symbolic reasoning.The combination of symbolism and connectionism in NSC can lead to more efficient data usage,improved generalization ability,and enhanced interpretability.Further research and experimentation are needed to effectively integrate NSC with large models and advance CV technologies for precise reporting of safety and quality inspection results in construction.

Traceability implementation in food supply chain: A grey-DEMATEL approach

Numerous incidents of food adulteration,fraudulence and foodborne disease outbreaks have shaken the consumer confidence towards the food they consume.These incidents compel the Food Supply Chain(FSC)partners to implement an appropriate traceability system in their respective supply chains to sustain the consumer confidence.The objective of this research is to identify the drivers(major factors)which play a significant role in the successful implementation of the traceability system in FSC and evaluate the causal relationships developing therein.Twelve drivers are identified towards implementation of the traceability system in FSC through literature review and supported with expert’s opinion.The grey-based DEMATEL approach is identified to evaluate these relationships among the drivers according to their net effect.Further,these drivers ranked based on the prominence and effect score.The finding of this research shows that the drivers are clustered into two groups namely:influential(cause)and influenced(effect)group.Four drivers belong to the influential group,and remaining eight are from the influenced group.The most influential driver is the “food safety and quality”which provide a significant effect on the implementation of a traceability system.This research can be a building block to develop a framework to implement the traceability system within FSC and assist the policymakers,and practitioners to identify and evaluate drivers related to the implementation of traceability system in FSC.This paper also provides a useful insight&support to the practitioners and managers in decision making for traceability implementation related issues。