Highly Stretchable and Conductive Core–Sheath Chemical Vapor Deposition Graphene Fibers and Their Applications in Safe Strain Sensors

Highly stretchable and conductive core–sheath nanofibers are significant for flexible and wearable microelectronics. Core–sheath fibers were massively fabricated from ultralong chemical vapor deposition (CVD)-grown graphene bundles. They exhibited superior conductivity and excellent mechanical properties that exceeded those of the reduced graphene oxide fibers. The intrinsic dynamic fracture procedure and mechanism of the core–sheath nanofibers were investigated. Furthermore, safe strain sensors based on as-prepared core–sheath CVD graphene fibers have been demonstrated as a proof-of-concept application. The performance of strain sensors has been greatly improved by using CVD graphene fibers

Both C3c (A) and C1q (C) expressions were positive in the BLEL samples (black arrows), while negative in the control group (B and D).

<p>Both C3c (A) and C1q (C) expressions were positive in the BLEL samples (black arrows), while negative in the control group (B and D).</p

GO analysis showed that the most enriched and activated functional gene group in the differential genes of BLEL includes genes related to signaling pathways mediated by the complement system.

<p>GO analysis showed that the most enriched and activated functional gene group in the differential genes of BLEL includes genes related to signaling pathways mediated by the complement system.</p

3 genes that were upregulated as identified by microarray data, were subjected to RT-PCR analysis for confirmation purposes.

<p>The results of differences in gene expression from microarray and RT-PCR were found to be consistent.</p

Differentially expressed genes of the complement System in BLEL.

<p>Differentially expressed genes of the complement System in BLEL.</p

Improving the Resolution of Flexible Large-Area Tactile Sensors through Machine-Learning Perception

Industrial robots are the main piece of equipment of intelligent manufacturing, and array-type tactile sensors are considered to be the core devices for their active sensing and understanding of the production environment. A great challenge for existing array-type tactile sensors is the wiring of sensing units in a limited area, the contradiction between a small number of sensing units and high resolution, and the deviation of the overall output pattern due to the difference in the performance of each sensing unit itself. Inspired by the human somatosensory processing hierarchy, we combine tactile sensors with artificial intelligence algorithms to simplify the sensor architecture while achieving tactile resolution capabilities far greater than the number of signal channels. The prepared 8-electrode carbon-based conductive network achieves high-precision identification of 32 regions with 97% classification accuracy assisted by a quadratic discriminant analysis algorithm. Notably, the output of the sensor remains unchanged after 13,000 cycles at 60 kPa, indicating its excellent durability performance. Moreover, the large-area skin-like continuous conductive network is simple to fabricate, cost-effective, and can be easily scaled up/down depending on the application. This work may address the increasing need for simple fabrication, rapid integration, and adaptable geometry tactile sensors for use in industrial robots

Low-Temperature Growth of Large-Area Heteroatom-Doped Graphene Film

Large-area heteroatom-doped graphene films are greatly attractive materials for various applications, such as electronics, fuel cells, and supercapacitors. Currently, these graphene films are prepared by the high-temperature chemical vapor deposition method, which produces a low doping level in N-doped graphene (NG) and fails in the synthesis of large-area S-doped graphene (SG) film. Here, we report a low-temperature method toward the synthesis of large-area heavily heteroatom-doped graphene on copper foils via a free radical reaction using polyhalogenated aromatic compounds. This low-temperature method allows the synthesis of single-layer NG film with a high nitrogen content, and the production of large-area SG film for the first time. Both doped graphenes show enhanced electrical properties in field effect transistors as well as high-performance electrocatalysts for fuel cells

Improving the Resolution of Flexible Large-Area Tactile Sensors through Machine-Learning Perception

Industrial robots are the main piece of equipment of intelligent manufacturing, and array-type tactile sensors are considered to be the core devices for their active sensing and understanding of the production environment. A great challenge for existing array-type tactile sensors is the wiring of sensing units in a limited area, the contradiction between a small number of sensing units and high resolution, and the deviation of the overall output pattern due to the difference in the performance of each sensing unit itself. Inspired by the human somatosensory processing hierarchy, we combine tactile sensors with artificial intelligence algorithms to simplify the sensor architecture while achieving tactile resolution capabilities far greater than the number of signal channels. The prepared 8-electrode carbon-based conductive network achieves high-precision identification of 32 regions with 97% classification accuracy assisted by a quadratic discriminant analysis algorithm. Notably, the output of the sensor remains unchanged after 13,000 cycles at 60 kPa, indicating its excellent durability performance. Moreover, the large-area skin-like continuous conductive network is simple to fabricate, cost-effective, and can be easily scaled up/down depending on the application. This work may address the increasing need for simple fabrication, rapid integration, and adaptable geometry tactile sensors for use in industrial robots

Clinical characteristics of the subjects categorized by tHcy level at baseline.

<p><b>Notes:</b> Continuous variables (Age, BMI, TG, TC, HDL-C, LDL-C, tHcy, SBP, DBP, 2h-PBG, eGFR, UA, Cr) were expressed as mean (±SD) or median (interquartile range), and categorical variables (Women, Current smoking, Current alcohol use, Diabetes, CVD, MetS and hypertension) were expressed as counts and percentages.</p><p><b>Abbreviations:</b> BMI, body mass index; TC, total cholesterol; TG, triglyceride; LDL-C, low density lipoprotein cholesterol; HDL-C, high density lipoprotein cholesterol; tHcy, total homocysteine; UA, uric acid; Cr, Creatinine; FBG, fasting blood glucose; 2-HpBG, 2-hour postprandial blood sugar; SBP, systolic blood pressure; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; MetS, metabolic syndrome; CVD, cardiovascular disease.</p><p>Clinical characteristics of the subjects categorized by tHcy level at baseline.</p

Comparison of serum tHcy levels between MetS group and NonMetS group at baseline MetS status.

<p>The levels of tHcy in the MetS group were higher than that in NonMetS group (P = 0.001) at baseline cross-sectional status. Levels of tHcy were Ln transformed to normalize their distributions. tHcy, total homocysteine; MetS, metabolic syndrome.</p