31Hydrogels are an excellent biomimetic of the extracellular matrix and have found great 32 use in tissue engineering. Nanoporous monolithic hydrogels have limited mass transport, 33 restricting diffusion of key biomolecules. Structured microbead-hydrogels overcome some 34 of these limitations, but suffer from lack of controlled anisotropy. Here we introduce a 35 novel method for producing architected hydrogels based on entanglement of microstrands. 36 The microstrands are mouldable and form a porous structure which is stable in water. 37 Entangled microstrands are useable as bioinks for 3D bioprinting, where they align during 38 the extrusion process. Cells co-printed with the microstrands show excellent viability and 39 augmented matrix deposition resulting in a modulus increase from 2.7 kPa to 780.2 kPa 40 after 6 weeks of culture. Entangled microstands are a new class of bioinks with 41 unprecedented advantages in terms of scalability, material versatility, mass transport, 42 showing foremost outstanding properties as a bioink for 3D printed tissue grafts. 43 44 45 46 47 48 49 50 129 130 131 Results 132 133 Entangled Microstrand Materials are Mouldable, Stable in Water and Macroporous 134 135Here we report on a robust and versatile method for preparing 'entangled' microstrands. 136 Bulk hyaluronan-methacrylate (HA-MA) hydrogels were mechanically pressed through a 137

Background: A systematic review and meta-analysis was conducted to evaluate the effectiveness of mobile applications used by patients diagnosed with mental disorders. Methods: An electronic literature search in five databases including PubMed, Embase, the Cochrane Library, CINAHL, and PsychInfo was conducted. The keywords used were "mental disorder," "mental illness," "mobile phone," "smartphone," "mHealth," "application," and "app". The search was restricted to randomized controlled trials (RCTs) written in English and Korean.Results: Fourteen RCTs, involving 1307 patients diagnosed with depression, schizophrenia, and bipolar disorder were included in the analysis. The included studies were published between 2012 and 2020 and used mobile applications. The risk of bias tool was used to assess methodological quality and the overall risk of bias of the included studies was moderate. The pooled data favored mobile application interventions in reducing the disease-related symptoms of depression (standardized mean difference [SMD] = À0.255, 95% CI: À0.370 to À0.141), mania symptoms (SMD = À0.279, 95% CI: À0.456 to À0.102), and positive (SMD = À0.205, 95% CI: À0.388 to À0.022) and negative psychotic symptoms (SMD = À0.406, 95% CI: À0.791 to À0.020). In subgroup analysis, the incorporation of feedback, notification, and data tracking features in the mobile application intervention produced better outcomes. Conclusion: This review provided evidence that mobile applications could well-assist patients diagnosed with mental disorders. Greater benefits could be achieved by well-designed interventions incorporating strategies with thoughtful consideration of the disease characteristics. Mobile applications present the potential to be effective supplements to clinical treatment.