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The advent of the information age has ushered in a new epoch for transmitting history and culture, fundamentally reshaped by digital and visual media innovations. This research explores the potent impact of visual reconstruction on the conveyance of historical and cultural narratives, spotlighting a significant leap in public engagement. From 2012 to 2019, the audience for digital historical Content witnessed an astounding growth from 1.35 million to 26.18 million—an 18.38-fold increase. The study demonstrates that visual methods make history and culture more captivating and instructive and drastically boost user interaction, with Content receiving an average of 192,700 likes. Through a set of targeted recommendations, this paper aims to refine the visual presentation on digital platforms and amplify the interactivity of historical and cultural education, offering strategic insights for enhancing the digital and visual storytelling of our past.

In this paper, an intelligent fusion teaching system is constructed in the context of deep learning. Firstly, a convolutional neural network is utilized to extract multi-level knowledge point features, and a nonlinear function is combined to accelerate the fusion of knowledge point features. Then, semantic features are integrated into keyword extraction, and the SKE algorithm calculates the semantic contribution value of words, and word centering density, and the words are matched according to the keyness. Finally, multiple regression analysis is used for the dynamic mining of online learning behavior data to get the frequent dynamic metric distribution set of the data so as to realize intelligent recommendations. The results show that 75% of the students believe that the integration of curriculum Civics in the cultural and creative majors can enhance the values and is conducive to the integration and development of Civics education and the construction of cultural and creative majors.

The advent of the digital era has also provided new opportunities for developing fashion illustration art. To explore the development trend of digital media fashion illustration art this paper explores the development trend of digital media fashion illustration art based on the content analysis method through four aspects of creative themes, application carriers, acceptance, and understanding of a digital media platform fashion illustration. The results show that in terms of creative theme styles, the growth rates of the political theme category, regional theme category, and retro theme category are 36.77%, 44.91%, and 40.91%, respectively, while the styles of digital media fashion illustration have developed most rapidly in group theme category and popular theme category, with a growth of 370% and 55.94% respectively in the past ten years. This indicates that with the development of digital media technology, more popular elements are beginning to be explored and gradually applied to fashion illustration in the group and corporate culture. In terms of acceptance, 58.38% said they accept the application of digital media to fashion illustration, and in terms of understanding, nearly 60% said they understand it. In terms of application carriers, over the past ten years, because of the development of digital media, mobile media has become 66.48% of people understand and receive news about fashion illustration, while the percentage of those who understand fashion illustration for television media has decreased from 75.17% to 2.47%. This shows that the art of fashion illustration in the digital era has begun to develop towards mobile media, which is more portable and faster. The fashion illustration theme also became closer to popular elements and corporate cultural values.

Rationale & objectivePlasma kidney injury molecule 1 (KIM-1) is a sensitive marker of proximal tubule injury, but its association with risks of adverse clinical outcomes across a spectrum of kidney diseases is unknown.Study designProspective, observational cohort study.Setting & participants524 individuals enrolled into the Boston Kidney Biopsy Cohort (BKBC) Study undergoing clinically indicated native kidney biopsy with biopsy specimens adjudicated for semiquantitative scores of histopathology by 2 kidney pathologists and 3,800 individuals with common forms of chronic kidney disease (CKD) enrolled into the Chronic Renal Insufficiency Cohort (CRIC) Study.ExposureHistopathologic lesions and clinicopathologic diagnosis in cross-sectional analyses, baseline plasma KIM-1 levels in prospective analyses.OutcomesBaseline plasma KIM-1 levels in cross-sectional analyses, kidney failure (defined as initiation of kidney replacement therapy) and death in prospective analyses.Analytical approachMultivariable-adjusted linear regression models tested associations of plasma KIM-1 levels with histopathologic lesions and clinicopathologic diagnoses. Cox proportional hazards models tested associations of plasma KIM-1 levels with future kidney failure and death.ResultsIn the BKBC Study, higher plasma KIM-1 levels were associated with more severe acute tubular injury, tubulointerstitial inflammation, and more severe mesangial expansion after multivariable adjustment. Participants with diabetic nephropathy, glomerulopathies, and tubulointerstitial disease had significantly higher plasma KIM-1 levels after multivariable adjustment. In the BKBC Study, CKD in 124 participants progressed to kidney failure and 85 participants died during a median follow-up time of 5 years. In the CRIC Study, CKD in 1,153 participants progressed to kidney failure and 1,356 participants died during a median follow-up time of 11.5 years. In both cohorts, each doubling of plasma KIM-1 level was associated with an increased risk of kidney failure after multivariable adjustment (hazard ratios of 1.19 [95% CI, 1.03-1.38] and 1.10 [95% CI, 1.06-1.15] for BKBC and CRIC, respectively). There was no statistically significant association of plasma KIM-1 levels with death in either cohort.LimitationsGeneralizability and unmeasured confounding.ConclusionsPlasma KIM-1 is associated with underlying tubulointerstitial and mesangial lesions and progression to kidney failure in 2 cohort studies of individuals with kidney diseases.