Age- and education-adjusted normative data for the Rivermead Behavioural Memory Test (RBMT)

Practices of Self-Care in Healthy Old Age: A Field Study

Two competing psychological approaches for how to care for oneself to stay healthy in old age have coexisted and dominated the scientific literature.

OBJECTIVE

Identify the self-care practices of healthy older adults and establish the relationship between these practices and the cognitive processes involved.

METHOD

105 healthy older people (83.91% women) recorded their self-care practices using the Care Time Test and underwent a cognitive evaluation.

RESULTS

The frequency and variety of different activities that participants spent performing on a day of the week where they had the fewest obligations are as follows: nearly 7 h on seven survival activities, 4 h and 30 min on three maintenance of functional independence activities and 1 h on one activity that promoted personal development. Older people who carry out activities in a developmental approach showed better everyday memory (8.63 points) and attention levels (7.00 points) than older people who carry out activities using a conservative approach (memory: 7.43; attention level: 6.40).

CONCLUSION

The results evidenced that the frequency and variety of activities that promote personal development are associated with better attention and memory performance.

Diffusion Tensor Imaging Observation of Frontal Lobe Multidirectional Transcranial Direct Current Stimulation in Stroke Patients with Memory Impairment

Stroke is a group of diseases caused by the sudden rupture or blockage of blood vessels in the brain that prevent blood from flowing into the brain, resulting in brain tissue damage and dysfunction. Stroke has the characteristics of high morbidity, high disability, and high mortality. To investigate the effect of multidirectional transcranial direct current stimulation (tDCS) of the prefrontal lobe in stroke memory disorder. We evaluated 60 patients with poststroke memory impairment who underwent magnetic resonance diffusion tensor imaging (DTI) during their admission to our hospital between January 2018 and December 2020. The patients were divided into the prefrontal group (n = 15), dorsolateral group (n = 15), prefrontal + dorsolateral group (n = 15), and pseudostimulation group (n = 15). Assessments using the Rivermead Behavioral Memory Test (RBMT), Montreal Cognitive Assessment Scale (MoCA), Lovingston Occupational Therapy Cognitive Scale (LOTCA), and frontal lobe fractional anisotropy (FA) were performed before and after treatment. The RBMT, MoCA, and LOTCA scores in the prefrontal + dorsolateral group were significantly higher than those in the dorsolateral, prefrontal, and sham groups (all P < 0.05). The posttreatment FA value of the frontal lobe was significantly higher in the prefrontal + dorsolateral group than in the dorsolateral, prefrontal, and sham stimulation groups (all P < 0.05). The FA value of the frontal lobe was significantly lower in patients with severe memory impairment than in patients with mild-moderate memory impairment (P < 0.05). The area under the receiver operating characteristic curve was 0.801 (95% CI: 0.678-0.925, P < 0.05), and the optimal cut-off value was 0.34, with a sensitivity and specificity of 81.60% and 72.70%, respectively. Prefrontal lobe + dorsolateral tDCS is beneficial in the treatment of post-stroke memory impairment. The DTI FA value can be useful in determining the degree of memory impairment.

Study on the Spatial Structure and Evolution Stage of Industrial R&D Ecosystem Based on Evolutionary Biology

The insufficient innovation ability is the biggest bottleneck for the upgrading of creative industry in China. Thus, it is an important way to structure the good R&D innovative ecosystem around perfecting the innovative chain for improving the innovation ability of creative industry. This paper discusses the theoretical connotation of the R&D innovation ecosystem of creative industry, studies the spatial structure of the R&D innovation ecosystem, and proposes the fact that the innovative population of R&D innovation ecosystem in creative industry can be divided into original innovative population, technological innovation population, innovation service population, innovation input population, and system innovation population. The research on the demand, financing, and business model of R&D breakthrough innovation in China's industry cannot be separated from the analysis of the evolution stages of various industries, because different strategies need to be formulated at different stages of development, and it is very important to accurately grasp the stage of industrial development. By introducing logistic curve equation, the breakthrough innovation of industrial R&D is divided into four stages: incubation stage, growth stage, evolution stage, and maturity stage, and the different characteristics of different stages of industry development are analyzed. Taking the breakthrough innovation of R&D in industry as an example, this paper uses the logistic empirical model based on factor analysis to study it. The results show that the breakthrough innovation of R&D in industry has entered a maturity stage.