Suspended Micro/Nanofiber Hierarchical Biological Scaffolds Fabricated Using Non-Electrospinning STEP Technique

Extracellular matrix (ECM) is a fibrous natural cell environment, possessing complicated micro- and nanoarchitectures, which provide extracellular signaling cues and influence cell behaviors. Mimicking this three-dimensional microenvironment in vitro is a challenge in developmental and disease biology. Here, suspended multilayer hierarchical nanofiber assemblies (diameter from micrometers to less than 100 nm) with accurately controlled fiber orientation and spacing are demonstrated as biological scaffolds fabricated using the non-electrospinning STEP (Spinneret based Tunable Engineered Parameter) fiber manufacturing technique. Micro/nanofiber arrays were manufactured with high parallelism (relative angles between fibers were maintained less than 6°) and well controlled interfiber spacing (<15%). Using these controls, we demonstrate a bottom up hierarchical assembly of suspended six layer structures of progressively reduced diameters and spacing from several polymer systems. We then demonstrate use of STEP scaffolds to study single and multicell arrangement at high magnifications. Specifically, using double layer divergent (0°–90°) suspended nanofibers assemblies, we show precise quantitative control of cell geometry (change in shape index from 0.15 to 0.57 at similar cell areas), and through design of scaffold porosity (80 × 80 μm² to 5 × 5 μm²) quadruple the cell attachment density. Furthermore, using unidirectional or crisscross patterns of sparse and dense fiber arrays, we are able to control the cell spread area from ∼400 to ∼700 μm², while the nucleus shape index increases from 0.75 to 0.99 with cells nearly doubling their focal adhesion cluster lengths (∼15 μm) on widely spaced nanofiber arrays. The platform developed in this study allows a wide parametric investigation of biophysical cues which influence cell behaviors with implications in tissue engineering, developmental biology, and disease biology

Posterior probability changes of various influential factors in different scenarios of social media engagement.

Posterior probability changes of various influential factors in different scenarios of social media engagement.</p

The Python code used for scraping Sina Weibo.

Social media platforms provide the public with a forum for interaction and communication with tourism destinations, playing a significant role in the shaping and dissemination of destination images. Similarly, social media plays a vital role in the construction and propagation of online images for higher education institutions. For instance, indicators such as likes, shares, and visits on Weibo can serve as measures of public engagement with university social media. To reveal the triggering rules of social media engagement by projected images of destinations and related factors, this paper builds a Bayesian model using data from posts and interactions on the official Sina Weibo account of a Chinese university from 2018 to 2023. This model simulates to infer the optimal decisions that trigger university social media engagement.</div

Bayesian model of social media engagement triggered by tourism destination image projection.

Note: BU: School Buildings, NL: School Natural Landscape, HC: School History and Culture, CC: School Cultural and Creative Products, SA: Student Activities, SF: School Facilities and Services, NO: No Guidance, CG: Collaborative Guidance, TG: Contribution Guidance, AG: Application Guidance.</p

Cross-tabulation of the difference in the number of microblogs between projected images and interaction strategies, affective representations, and time frames at a university in China.

Cross-tabulation of the difference in the number of microblogs between projected images and interaction strategies, affective representations, and time frames at a university in China.</p

A university has published Weibo and received retweets over the years (2018–2023).

A university has published Weibo and received retweets over the years (2018–2023).</p

S2 Data -

Social media platforms provide the public with a forum for interaction and communication with tourism destinations, playing a significant role in the shaping and dissemination of destination images. Similarly, social media plays a vital role in the construction and propagation of online images for higher education institutions. For instance, indicators such as likes, shares, and visits on Weibo can serve as measures of public engagement with university social media. To reveal the triggering rules of social media engagement by projected images of destinations and related factors, this paper builds a Bayesian model using data from posts and interactions on the official Sina Weibo account of a Chinese university from 2018 to 2023. This model simulates to infer the optimal decisions that trigger university social media engagement.</div

AUT871174_Lay_Abstract – Supplemental material for A systematic review of screening tools for the detection of autism spectrum disorder in mainland China and surrounding regions

Supplemental material, AUT871174_Lay_Abstract for A systematic review of screening tools for the detection of autism spectrum disorder in mainland China and surrounding regions by Ji Wang, Darren Hedley, Simon M Bury and Josephine Barbaro in Autism</p

Differential analysis of the number of retweets and likes of the official blog of a university in China under the influence of different.

Differential analysis of the number of retweets and likes of the official blog of a university in China under the influence of different.</p

Display of some microblog text data after processing.

Display of some microblog text data after processing.</p