One of the significant hurdles in telemedicine, particularly in ophthalmology, is the absence of direct physical examination. This specialty depends extensively on specialized instruments that typically require proficient operators. Visual function tests are crucial for both outpatient and inpatient ophthalmic services, playing a vital role in screening, diagnosing, monitoring treatment effectiveness, and managing follow-ups for various eye conditions. The progress in mobile technology has paved the way for expanding these tests beyond traditional clinic settings, promoting the creation of patient-focused, straightforward, cost-effective, and efficient measurement tools. In light of the swift advancement of digital technologies, this article reviews the characteristics, and reliability of self-administered visual function tests tools, including visual acuity, refractive error assessment, visual field, contrast sensitivity, and color vision, along with other pertinent diagnostic tools that have been developed and validated for accuracy and repeatability through research, with a view to providing ophthalmologists and patients with scientific and practical references when selecting and using these tools, further promoting efficiency and efficacy of teleophthalmology.

Humans ; Parkinson Disease/diagnosis* ; Machine Learning

Objective:This study aims to study the mental health status of people with different identities during the fight against COVID-19. Further, we propose psychological intervention strategies for people with different identities.Methods:857 participants from Guangdong province (215 identified as first-level population referring to the impact severity of the outbreak, 91 as second-level population, 120 as third-level population, and 431 as fourth level population) were cross-sectionally surveyed online from January 30 to February 28, 2020. The Generalized Anxiety Disorder Scale (GAD-7), the Patient Health Questionnaire-9 (PHQ-9), and the Perceived Stress Scale (PSS-10) were used to evaluate the mental health status of different populations. The Kruskal-Wallis H test was used to test the differences of the total scores of these three scales across populations at different levels, and the groups were compared pairwise with the Bonferroni method. Finally, the Wilcoxon rank sum test was used to further analyze the dimensions between the scales. Results:In all 857 subjects, the total scores of GAD-7, PHQ-9, and PSS-10 were 4(1,8), 4(1,9), and 16(11,19), respectively. There were statistically significant differences in the scores of GAD-7 ( H=15.235, P<0.01), PHQ-9 ( H=9.265, P=0.026), and PSS-10 ( H=8.435, P=0.049) among different levels of the population. For the score of GAD-7, the anxiety severity of the first-level crowd was higher than that of the second-level crowd and the fourth-level crowd. The pairwise comparisons were statistically significant ( Z=-2.932, -4.012, -2.949, P<0.005); there were significant between-group differences in domains of "becoming easily annoyed or irritable" and "seemingly terrible things will happen". For the score of PHQ-9, the depression severity of the first-level crowd and the second-level crowd was higher than that of the fourth-level crowd, and the pairwise comparisons were statistically significant ( Z=-3.387, -2.682, P<0.005). There were significant between-group differences in domains of "difficult to fall asleep or not awake", "feeling depressed" and other related domains. For the score of PSS-10, the stress severity of the third-level crowd was higher than that of the first-level crowd and the fourth-level crowd ( Z=-2.702, -3.693, -2.735, P<0.005). There were significant between-group differences in domains of "feel confident", "life is as expected", "the ability to control anger", "the things are all under control", and other related domains. Conclusion:The impact of the COVID-19 on mental health in people with different identities is different, and appropriate psychological interventions should be provided for different populations according to their mental health status.

Objective:This study aims to study the mental health status of people with different identities during the fight against COVID-19. Further, we propose psychological intervention strategies for people with different identities.Methods:857 participants from Guangdong province (215 identified as first-level population referring to the impact severity of the outbreak, 91 as second-level population, 120 as third-level population, and 431 as fourth level population) were cross-sectionally surveyed online from January 30 to February 28, 2020. The Generalized Anxiety Disorder Scale (GAD-7), the Patient Health Questionnaire-9 (PHQ-9), and the Perceived Stress Scale (PSS-10) were used to evaluate the mental health status of different populations. The Kruskal-Wallis H test was used to test the differences of the total scores of these three scales across populations at different levels, and the groups were compared pairwise with the Bonferroni method. Finally, the Wilcoxon rank sum test was used to further analyze the dimensions between the scales. Results:In all 857 subjects, the total scores of GAD-7, PHQ-9, and PSS-10 were 4(1,8), 4(1,9), and 16(11,19), respectively. There were statistically significant differences in the scores of GAD-7 ( H=15.235, P<0.01), PHQ-9 ( H=9.265, P=0.026), and PSS-10 ( H=8.435, P=0.049) among different levels of the population. For the score of GAD-7, the anxiety severity of the first-level crowd was higher than that of the second-level crowd and the fourth-level crowd. The pairwise comparisons were statistically significant ( Z=-2.932, -4.012, -2.949, P<0.005); there were significant between-group differences in domains of "becoming easily annoyed or irritable" and "seemingly terrible things will happen". For the score of PHQ-9, the depression severity of the first-level crowd and the second-level crowd was higher than that of the fourth-level crowd, and the pairwise comparisons were statistically significant ( Z=-3.387, -2.682, P<0.005). There were significant between-group differences in domains of "difficult to fall asleep or not awake", "feeling depressed" and other related domains. For the score of PSS-10, the stress severity of the third-level crowd was higher than that of the first-level crowd and the fourth-level crowd ( Z=-2.702, -3.693, -2.735, P<0.005). There were significant between-group differences in domains of "feel confident", "life is as expected", "the ability to control anger", "the things are all under control", and other related domains. Conclusion:The impact of the COVID-19 on mental health in people with different identities is different, and appropriate psychological interventions should be provided for different populations according to their mental health status.

Objective:To study the expression and regulation of TLR2/4 in mycobacterium tuberculosis heat shock proteins 16. 3 (mycobacterium tuberculosis heat shock proteins 16. 3,MTB Hsp16. 3) effect on mouse bone marrow-derived macrophages in vitro. Methods:Bone marrow cells were isolated from tibia and femurs of BALB/c mice and incubated with GM-CSF,then detected the expression of CD11b and F4/80 with flow cytometry and observed morphology. The M0 macrophages were stimulated with MTB Hsp16. 3 for 0 h,12 h,24 h,36 h,48 h and 72 h. Real-time PCR detected the expression of TLR2/4 in intracellular at different time point. Silencing macrophages cell surface TLR2/4 molecules by siRNA technology which stimulated with MTB Hsp16. 3 for 0 h,12 h,24 h,36 h,48 h and 72 h. Real-time PCR detected the expression of TLR2/4,Ym-1,Fizz1,IL-10,TNF-α,iNOS and TGF-βin intracellular at different time point. Results:Morphology analysis showed that MTB Hsp16. 3 stimulated macrophages were round cells stretching out pseudopodia,whereas MTB Hsp16. 3 stimulated silencing TLR2/4 macrophages had elongated fibroblastoid. Real time PCR detected the expression of TLR2/4 were upregulated after MTB Hsp16. 3 stimulated M0 macrophages. MTB Hsp16. 3 stimulated silencing TLR2/4 macrophages the expression of IL-6, TNF-α, iNOS were upregulated, whereas IL-10, TGF-β, Ym-1 and Fizz1 were downregulated. Conclusion:MTB Hsp16. 3 may stimulated M0 macrophages to M2 macrophages and suppress M1 macrophages through binding with TLR2/4 receptor,which may be involved the progresss of MTB evaded macrophage phagocytosis.