Low-cost and low-density carbonized facial tissue supported uniform NiCo_(2)S_(4)nanotubes for high capacity flexible solid-state supercapacitors

Recently,rapid development of intelligent wearable electronic equipment has triggered great needs for flexible and lightweight portable energy storage systems.Here,we demonstrate a low-cost($0.5 m^(-2))and low density carbonized facial tissue paper(FCP)for high-conductive NiCo_(2)S_(4)nanotubes assisted novel ultra-flexible solid-state supercapacitors(SSCs).The hydrothermal synthesized FCP-900@NiCo_(2)S_(4)electrodes in this paper only have a density of 5 mg cm^(-2)and show large specific capacitance of 3115 mF cm^(-2)at 2 mA cm^(-2).Based on the high performance of FCP-900@NiCo_(2)S_(4)electrodes,the as assembled SSCs can deliver an energy density of 1.2 mWh cm^(-3),high power density of 58.16 mW cm-3.It also shows great bending-state capacitive performance with high capacitance retention after 5000 cycles,providing a new opportunity for developing high-performance flexible wearable energy storage devices.

Amperometric Ascorbic Acid Sensor Based on Disposable Facial Tissues Derived Carbon Aerogels

In this study,the disposable facial tissues derived carbon aerogels(DFTs-CAs)were synthesized using disposable facial tissues as the raw material for fabricating a sensitive amperometric ascorbic acid(AA)sensor.The experimental results indicated that compared to glassy carbon electrode(GCE)and the popular carbon nanotubes modified GCE(CNTs/GCE),DFTs-CAs modified GCE(DFTs-CAs/GCE)exhibited better electrocatalytic activity(i.e.,lower peak potential and higher peak current)for AA electrooxidation and higher analytical performance for AA determination(i.e.,wider linear range,higher sensitivity and lower detection limit),which could be most likely due to the high density of defective sites and large specific surface area of DFTs-CAs.Especially,the DFTs-CAs/GCE was used for evaluating the AA level in real samples(i.e.,medical injection dose,vitamin C tablets,fresh orange juice and human urine)and the results are satisfactory.

Patient-specific modeling of facial soft tissue based on radial basis functions transformations of a standard three-dimensional finite element model

Background An important purpose of orthodontic treatment is to gain the harmonic soft tissue profile. This article describes a novel way to build patient-specific models of facial soft tissues by transforming a standard finite element （FE） model into one that has two stages： a first transformation and a second transformation, so as to evaluate the facial soft tissue changes after orthodontic treatment for individual patients. Methods The radial basis functions （RBFs） interpolation method was used to transform the standard FE model into a patient-specific one based on landmark points. A combined strategy for selecting landmark points was developed in this study： manually for the first transformation and automatically for the second transformation. Four typical patients were chosen to validate the effectiveness of this transformation method. Results The results showed good similarity between the transformed FE models and the computed tomography （CT） models. The absolute values of average deviations were in the range of 0.375-0.700 mm at the lip-mouth region after the first transformation, and they decreased to a range of 0.116-0.286 mm after the second transformation. Conclusions The modeling results show that the second transformation resulted in enhanced accuracy compared to the first transformation. Because of these results, a third transformation is usually not necessary.

Genetic evidence for facial variation being a composite phenotype of cranial variation and facial soft tissue thickness

Facial and cranial variation represent a multidimensional set of highly correlated and heritable phenotypes.Little is known about the genetic basis explaining this correlation.We develop a software package ALo SFL for simultaneous localization of facial and cranial landmarks from head computed tomography(CT)images,apply it in the analysis of head CT images of 777 Han Chinese women,and obtain a set of phenotypes representing variation in face,skull and facial soft tissue thickness(FSTT).Association analysis of 301 single nucleotide polymorphisms(SNPs)from 191 distinct genomic loci previously associated with facial variation reveals an unexpected larger number of loci showing significant associations(P<1e-3)with cranial phenotypes than expected under the null(O/E=3.39),suggesting facial and cranial phenotypes share a substantial proportion of genetic components.Adding FSTT to a SNP-only model shows a large impact in explaining facial variance.A gene ontology analysis reveals that bone morphogenesis and osteoblast differentiation likely underlie our cranial-significant findings.Overall,this study simultaneously investigates the genetic effects on both facial and cranial variation of the same sample,supporting that facial variation is a composite phenotype of cranial variation and FSTT.