Bioinspired Double-Broadband Switchable Microwave Absorbing Grid Structures with Inflatable Kresling Origami Actuators.

Tunable radar stealth structures are critical components for future military equipment because of their potential to further enhance the design space and performance. Some previous investigations have utilized simple origami structures as the basic adjusting components but failed to achieve the desired broadband microwave absorbing characteristic. Herein, a novel double-broadband switchable microwave absorbing grid structure has been developed with the actuators of inflatable Kresling origami structures. Geometric constraints are derived to endow a bistable feature with this origami configuration, and the stable states are switched by adjusting the internal pressure. An ultra-broadband microwave absorbing structure is proposed with a couple of complementary microwave stealth bands, and optimized by a particle swarm optimization algorithm. The superior electromagnetic performance results from the mode switch activating different absorbing components at corresponding frequencies. A digital adjusting strategy is applied, which effectively achieves a continuously adjusting effect. Further investigations show that the proposed structure possesses superior robustness. In addition, minimal interactions are found between adjacent grid units, and the electromagnetic performance is mainly related to the duty ratio of the units in different states. They have enhanced the microwave absorbing performance of grid structures through a tunable design, a provided a feasible paradigm for other tunable absorbers.

A Low-Power Hardware Architecture for Real-Time CNN Computing.

Convolutional neural network (CNN) is widely deployed on edge devices, performing tasks such as objective detection, image recognition and acoustic recognition. However, the limited resources and strict power constraints of edge devices pose a great challenge to applying the computationally intensive CNN models. In addition, for the edge applications with real-time requirements, such as real-time computing (RTC) systems, the computations need to be completed considering the required timing constraint, so it is more difficult to trade off between computational latency and power consumption. In this paper, we propose a low-power CNN accelerator for edge inference of RTC systems, where the computations are operated in a column-wise manner, to realize an immediate computation for the currently available input data. We observe that most computations of some CNN kernels in deep layers can be completed in multiple cycles, while not affecting the overall computational latency. Thus, we present a multi-cycle scheme to conduct the column-wise convolutional operations to reduce the hardware resource and power consumption. We present hardware architecture for the multi-cycle scheme as a domain-specific CNN architecture, which is then implemented in a 65 nm technology. We prove our proposed approach realizes up to 8.45%, 49.41% and 50.64% power reductions for LeNet, AlexNet and VGG16, respectively. The experimental results show that our approach tends to cause a larger power reduction for the CNN models with greater depth, larger kernels and more channels.

Inverse Design of Energy-Absorbing Metamaterials by Topology Optimization.

Compared with the forward design method through the control of geometric parameters and material types, the inverse design method based on the target stress-strain curve is helpful for the discovery of new structures. This study proposes an optimization strategy for mechanical metamaterials based on a genetic algorithm and establishes a topology optimization method for energy-absorbing structures with the desired stress-strain curves. A series of structural mutation algorithms and design-domain-independent mesh generation method are developed to improve the efficiency of finite element analysis and optimization iteration. The algorithm realizes the design of ideal energy-absorbing structures, which are verified by additive manufacturing and experimental characterization. The error between the stress-strain curve of the designed structure and the target curve is less than 5%, and the densification strain reaches 0.6. Furthermore, special attention is paid to passive pedestrian protection and occupant protection, and a reasonable solution is given through the design of a multiplatform energy-absorbing structure. The proposed topology optimization framework provides a new solution path for the elastic-plastic large deformation problem that is unable to be resolved by using classical gradient algorithms or genetic algorithms, and simplifies the design process of energy-absorbing mechanical metamaterials.

QoS-Aware Joint Task Scheduling and Resource Allocation in Vehicular Edge Computing.

Vehicular edge computing (VEC) has emerged in the Internet of Vehicles (IoV) as a new paradigm that offloads computation tasks to Road Side Units (RSU), aiming to thereby reduce the processing delay and resource consumption of vehicles. Ideal computation offloading policies for VEC are expected to achieve both low latency and low energy consumption. Although existing works have made great contributions, they rarely consider the coordination of multiple RSUs and the individual Quality of Service (QoS) requirements of different applications, resulting in suboptimal offloading policies. In this paper we present FEVEC, a Fast and Energy-efficient VEC framework, with the objective of realizing an optimal offloading strategy that minimizes both delay and energy consumption. FEVEC coordinates multiple RSUs and considers the application-specific QoS requirements. We formalize the computation offloading problem as a multi-objective optimization problem by jointly optimizing offloading decisions and resource allocation, which is a mixed-integer nonlinear programming (MINLP) problem and NP-hard. We propose MOV, a Multi-Objective computing offloading method for VEC. First, vehicle prejudgment is proposed to meet the requirements of different applications by considering the maximum tolerance delay related to the current vehicle speed. Second, an improved Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is adopted to obtain the Pareto-optimal solutions with low complexity. Finally, the optimal offloading strategy is selected for QoS maximization. Extensive evaluation results based on real and simulated vehicle trajectories verify that the average QoS value of MOV is improved by 20% compared with the state-of-the-art VEC mechanism.

Tea consumption is associated with cognitive impairment in older Chinese adults.

OBJECTIVE: To explore the association between tea consumption and cognitive impairment (CoI). METHODS: 4579 adults (≥60 years) from the Weitang Geratric Diseases Study were assessed for characteristics of tea consumption and cognitive function by administering questionnaires and the Abbreviated Mental Test (AMT), respectively. We divided the subjects into normal cognitive function group (AMT score ≥8) and CoI group (AMT score ≤7).   The association between tea consumption and risk of CoI was determined by logistic regression models. RESULTS: The least-squared means of the AMT scores for the subjects who seldom consumed tea were less favorable than those who habitually consumed tea. An inverse association was found between tea consumption (of any type) and prevalence of CoI (odds ratio = 0.74, 95% confidence interval = 0.57-0.98, P = 0.032). Interestingly, the protective correlation of tea was more obvious in never smokers (odds ratio = 0.63), but vanished in current/former smokers (odds ratio = 1.10). In never smokers, frequency of tea consumption was significantly associated with CoI (P for trend = 0.010). CONCLUSION: Habitual tea consumption is suggested to be associated with a decreased risk of CoI among elders in Suzhou, and a higher frequency of tea consumption was associated with a lower prevalence of CoI among never smokers.

Exome sequencing identified NRG3 as a novel susceptible gene of Hirschsprung's disease in a Chinese population.

Hirschsprung's disease (HSCR) is a complex developmental defect characterized by the absence of enteric ganglia in the gastrointestinal tract. Although the genetic defect of enteric nervous system (ENS) was identified to play a critical role in the progress of HSCR, the systemic genetic dissection of HSCR still needs to be clarified. In this study, we firstly performed exome sequencing of two HSCR patients from a Han Chinese family, including the affected mother and son. After the initial quality filtering (coverage ≥ 5X and SNP quality score ≥ 40) of the raw data, we identified 13,948 and 13,856 single nucleotide variants (SNVs), respectively. We subsequently compared the SNVs against public databases (dbSNP130, HapMap, and 1000 Genome Project) and obtained a total of 15 novel nonsynonymous SNVs in 15 genes, which were shared between these two patients. Follow-up Sanger sequencing and bioinformatics analysis highlighted variant c.853G>A (p.E285K) in NRG3, a gene involved in the development of ENS. In the validation phase, we sequenced all nine exons of NRG3 in 96 additional sporadic HSCR cases and 110 healthy individuals and identified another nonsynonymous variant c.1329G>A (p.M443I) and two synonymous variants c.828G>A (p.T276T) and c.1365T>A (p.P455P) only in the cases. Our results indicated that NRG3 may be a susceptibility gene for HSCR in a Chinese population.

Genetic variations in the TGFß signaling pathway, smoking and risk of colorectal cancer in a Chinese population.

Recent genome-wide association studies (GWAS) have reported multiple risk loci associated with risk of colorectal cancer (CRC), some of which are involved in the transforming growth factor beta (TGFß) signaling pathway. We systematically examined associations of common genetic variations in the TGFß signaling pathway and environmental factors with CRC risk using a two-staged case-control study in a Chinese population. A set of 77 single-nucleotide polymorphisms (SNPs) in 10 candidate genes involved in the TGFß signaling pathway and several environmental factors including sex, age, smoking and drinking were examined by random forest (RF) to capture the potential gene-gene and gene-environment interactions in stage 1 of the study with 443 CRC patients and 480 controls. Three promising SNPs (SMAD7 rs11874392, TGFBR1 rs10988706 and rs6478972) selected by the RF method were genotyped in stage 2 comprising 351 cases and 360 controls for validation. SMAD7 rs11874392 presented consistently significant associations with a risk of CRC at both stages, with odds ratio = 1.41 (95% confidence interval = 1.21-1.63) using additive modes in combined analyses. Moreover, the potential interactions between SMAD7 rs11874392, TGFBR1 rs10988706 and rs6478972 were indicated consistently in both stages of the study by using pair-wise interaction and multilocus genotype pattern analysis. Additionally, gene-smoking interactions for rs11874392, rs10988706 and rs6478972 were also found to enhance the risk of CRC at both stages, with P for multiplicative interaction equal to 1.162×10(-6), 8.574×10(-8) and 9.410×10(-8) in combined analyses, respectively. This study emphasized the substantial role of the TGFß signaling pathway in CRC, especially in interaction with smoking.

Multi-loci analysis reveals the importance of genetic variations in sensitivity of platinum-based chemotherapy in non-small-cell lung cancer.

Polymorphisms in DNA repair and apoptotic pathways may cause variations in chemosensitivity of non-small-cell lung cancer (NSCLC) through complex gene-gene and gene-environment interactions. A total of 200 advanced NSCLC patients who received platinum-based chemotherapies were recruited. The short-term clinical outcomes were classified as chemosensitive group, including complete remission (CR) and partial remission (PR), and chemoresistant group, namely stable disease (SD) and progression disease (PD) at the end of treatment. We applied multifactor dimensionality reduction (MDR), classification and regression tree (CART) and traditional logistic regression (LR) to explore high-order gene-gene and gene-environment interactions among 11 functional single nucleotide polymorphisms (SNPs), smoking status, cancer stages and treatment regimens in the response to chemotherapy. Multi-loci analyses consistently indicated that interactions among XRCC1 Arg194Trp, XPC PAT, FAS G-1377A, and FASL T-844C were associated with sensitivity to platinum-based chemotherapy. In MDR analysis, the four-factor model yielded the highest test accuracy of 0.72 (permutation P = 0.001). In CART analysis, these four SNPs were the determinant nodes of the growth of regression tree. Patients carrying XRCC1 Arg194Arg, FAS-1377GG, and FASL-844T allele displayed completely no response to platinum, whereas patients with XRCC1 194Trp allele and XPC PAT +/+ had 68.8% response rate to platinum. In LR analysis, a significant gene-dosage effect was detected along with the increasing number of favorable genotypes of these four polymorphisms (P trend = 0.00002). Multi-loci analysis reveals the importance of genetic variations involved in DNA repair and apoptotic pathways in sensitivity of platinum-based chemotherapy in NSCLC.

A common SMAD7 variant is associated with risk of colorectal cancer: evidence from a case-control study and a meta-analysis.

BACKGROUND: A common genetic variant, rs4939827, located in SMAD7, was identified by two recent genome-wide association (GWA) studies to be strongly associated with the risk of colorectal cancer (CRC). However, the following replication studies yielded conflicting results. METHOD AND FINDINGS: We conducted a case-control study of 641 cases and 1037 controls in a Chinese population and then performed a meta-analysis, integrating our and published data of 34313 cases and 33251 controls, to clarify the relationship between rs4939827 and CRC risk. In our case-control study, the dominant model was significant associated with increased CRC risk [Odds Ratio (OR) = 1.46; 95% confidence interval (95% CI), 1.19-1.80]. The following meta-analysis further confirmed this significant association for all genetic models but with significant between-study heterogeneity (all P for heterogeneity <0.1). By stratified analysis, we revealed that ethnicity, sample size, and tumor sites might constitute the source of heterogeneity. The cumulative analysis suggested that evident tendency to significant association was seen with adding study samples over time; whilst, sensitive analysis showed results before and after removal of each study were similar, indicating the highly stability of the current results. CONCLUSION: Results from our case-control study and the meta-analysis collectively confirmed the significant association of the variant rs4939827 with increased risk of colorectal cancer. Nevertheless, fine-mapping of the susceptibility loci defined by rs4939287 should be imposed to reveal causal variant.

HBV-related hepatocellular carcinoma susceptibility gene KIF1B is not associated with development of chronic hepatitis B.

BACKGROUND: A recent genome-wide association study has identified a new susceptibility locus, kinesin family member 1B gene (KIF1B), strongly associated with progression from chronic hepatitis B (CHB) to hepatitis B virus-related hepatocellular carcinoma (HCC) in Chinese population, this study was carried out to explore the role of the genetic variants in KIF1B in the development of chronic hepatitis B. METHODOLOGY/PRINCIPAL FINDINGS: Three KIF1B polymorphisms (rs8019, rs17401924, and rs17401966) were selected and genotyped in 473 CHB patients and 580 controls with no history of CHB. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by logistic regression model. None of these three SNPs showed association with CHBs after adjusting for age and gender. Equivalence-based method analysis confirmed the absence of association. In the further haplotype analysis, three common haplotypes were observed in this study population, but no significant effect was also found for haplotypes in the progression to CHB. CONCLUSIONS/SIGNIFICANCE: This study showed the new locus identified for HCC, KIF1B, was not associated with progression to CHB, implying distinct genetic susceptibility factor contributes to the progression from hepatitis B virus infection to HCC. Nevertheless, further comprehensive analyses are warranted to dissect the mechanism.

Interactions between genetic variants in the adiponectin, adiponectin receptor 1 and environmental factors on the risk of colorectal cancer.

BACKGROUND: Metabolic syndrome traits play an important role in the development of colorectal cancer. Adipokines, key metabolic syndrome cellular mediators, when abnormal, may induce carcinogenesis. METHODOLOGY/PRINCIPAL FINDINGS: To investigate whether polymorphisms of important adipokines, adiponectin (ADIPOQ) and its receptors, either alone or in combination with environmental factors, are implicated in colorectal cancer, a two-stage case-control study was conducted. In the first stage, we evaluated 24 tag single nucleotide polymorphisms (tag SNPs) across ADIPOQ ligand and two ADIPOQ receptors (ADIPOR1 and ADIPOR2) among 470 cases and 458 controls. One SNP with promising association was then analyzed in stage 2 among 314 cases and 355 controls. In our study, ADIPOQ rs1063538 was consistently associated with increased colorectal cancer risk, with an odds ratio (OR) of 1.94 (95%CI: 1.48-2.54) for CC genotype compared with TT genotype. In two-factor gene-environment interaction analyses, rs1063538 presented significant interactions with smoking status, family history of cancer and alcohol use, with ORs of 4.52 (95%CI: 2.78-7.34), 3.18 (95%CI: 1.73-5.82) and 1.97 (95%CI: 1.27-3.04) for smokers, individuals with family history of cancer or drinkers with CC genotype compared with non-smokers, individuals without family history of cancer or non-drinkers with TT genotype, respectively. Multifactor gene-environment interactions analysis revealed significant interactions between ADIPOQ rs1063538, ADIPOR1 rs1539355, smoking status and BMI. Individuals carrying one, two and at least three risk factors presented 1.18-fold (95%CI:0.89-fold to 1.58-fold), 1.87-fold (95%CI: 1.38-fold to 2.54-fold) and 4.39-fold (95%CI: 2.75-fold to 7.01-fold) increased colorectal cancer risk compared with those who without risk factor, respectively (P(trend) <0.0001). CONCLUSIONS/SIGNIFICANCE: Our results suggest that variants in ADIPOQ may contribute to increased colorectal cancer risk in Chinese and this contribution may be modified by environmental factors, such as smoking status, family history of cancer and BMI.

Combined effect of genetic polymorphisms in P53, P73, and MDM2 on non-small cell lung cancer survival.

INTRODUCTION: Multiple biologically relevant polymorphisms may have more accurate prediction of cancer prognosis compared with single polymorphism because of the modest effect. This study investigated whether the functional polymorphisms in P53 pathway genes, P53 Arg72Pro (rs1042522), P73 G4C14-to-A4T14 (rs2273953 and rs1801173), and MDM2 T309G (rs2279744), alone or in combination, affect survival in advanced non-small cell lung cancer (NSCLC) patients. METHODS: A total of 199 stage III-IV NSCLC patients with platinum-based chemotherapy were recruited between 2002 and 2004. Associations between genotypes and survival were assessed using Kaplan-Meier method. Cox proportional hazard models were performed to identify significant variables. RESULTS: During the median 26.5 months of follow-up, the P53 Pro/Pro genotype was strongly associated with shorter overall survival compared with the Arg/Arg genotype (12.0 versus 20.0 months; log-rank p = 0.002; hazard ratio = 1.86; 95% confidence interval [CI], 1.15-3.02). Pairwise combination analysis showed that patients carrying the variant P53 Pro/Pro-P73 GC/GC or P53 Pro/Pro-MDM2 GG genotypes had survival time only half of that for those carrying the wild-type genotypes, with hazard ratio being 2.47 (95% CI, 1.20-5.10) and 2.00 (95% CI, 1.15-3.46), respectively. Furthermore, a combined effect was seen with survival time being gradually shorter with increasing number of unfavorable genotypes in these three genes (p(trend) = 0.039), indicating a gene-dose effect in association with survival. CONCLUSIONS: These findings suggest that genetic polymorphisms in the P53 pathway may be promising biomarkers for individualized chemotherapy and prognosis of NSCLC patients.

Genetic variants in RET and risk of Hirschsprung's disease in Southeastern Chinese: a haplotype-based analysis.

BACKGROUND: Hirschsprung's disease (HSCR) is a classic oligogenic disorder. Except inactivating mutations of RET, some single nucleotide polymorphisms (SNPs) are identified to be associated with the risk of HSCR. This study was conducted to examine the impact of the haplotypes profile of the reported associated SNPs of RET on the risk of HSCR in a Southeastern Chinese population. METHODS: Genotypes of -5G > A (rs10900296), -1A > C (rs10900297), c135G > A (rs1800858), c1296A > G (rs1800860), and c2307T > G (rs1800861) were analyzed in 123 HSCR patients and 168 controls by polymerase chain reaction amplification and direct sequencing. Associations with risk of HSCR were estimated by odds ratio (OR) and their 95% confidence intervals (95% CI) using logistic regression. RESULTS: We observed a significantly increased risk of HSCR associated with the RET -5AA (OR = 17.75, 95% CI = 7.34-42.92), -1CC (OR = 10.89, 95% CI = 3.13-37.85), 135AA (OR = 13.61, 95% CI = 6.14-30.14), 1296GG (OR = 2.40, 95% CI = 1.38-4.18) or 2307GG (OR = 9.79, 95% CI = 4.28-22.43) respectively. The five SNPs were in strong linkage disequilibrium. The haplotype A-C-A-G-G (OR = 5.06, 95% CI = 1.97-12.99) and diplotype A-C-A-G-G/A-C-A-G-G (OR = 21.08, 95% CI = 5.28-84.09) was also associated with the increased risk of HSCR, indicating a cumulative effect of these SNPs on the susceptibility of HSCR. CONCLUSION: These results support the hypothesis that common variations in RET pathway might play an important role in development of HSCR.

A functional -77T>C polymorphism in XRCC1 is associated with risk of breast cancer.

X-ray repair cross-complementing 1 (XRCC1) plays a critical role in base excision repair and genetic variations of XRCC1 may be associated with cancer susceptibility. We tested this hypothesis by examining the contribution of polymorphism in the regulatory region of XRCC1 -77T>C to risk of breast cancer in 995 patients and 1,004 controls. We found this polymorphism was associated with an increased risk of breast cancer, with an OR of 1.25 (95% CI, 1.00-1.56) for the -77TC genotype and 2.55 (95% CI, 1.11-5.86) for the -77CC genotype compared with the -77TT genotype. Haplotype analysis combining the -77T>C with three well-studied non-synonymous polymorphisms (Arg194Trp, Arg280His, and Arg399Gln) showed that only the -77C-containing haplotype was associated with the risk. Moreover, the C allele had more than 3-fold decreased luciferase expression compared with the T allele in breast cancer cell line MCF-7 (P < 0.001). A meta-analysis of seven publications with a total 2,888 cancer cases and 3,177 controls demonstrated that -77C was significantly associated with cancer risk, with an OR of 1.34 (95% CI, 1.18-1.51) for the TC genotype and 1.53 (95% CI, 1.14-2.07) for the CC genotype compared with the TT genotype. In conclusion, these findings indicated that XRCC1 -77T>C polymorphism may be a genetic determinant for developing breast cancer.

Association of candidate genetic variations with gastric cardia adenocarcinoma in Chinese population: a multiple interaction analysis.

Single genetic variation may only have a modest effect on risk of gastric cardia adenocarcinoma (GCA) because this malignancy is believed to result from complex interactions among multiple genetic and environmental factors. However, it has been a challenge to characterize multiple interactions using parametric analytic approaches. This study utilized a multi-analytic strategy combining logistic regression (LR), multifactor dimensionality reduction (MDR) and classification and regression tree (CART) approaches to explore high-order interactions among smoking and 12 polymorphisms involved in different processes of carcinogenesis in 344 GCA patients and 324 controls. LR, MDR and CART analyses consistently suggested MMP-2 C-1306T polymorphism as the strongest individual factor for GCA risk. Intriguingly, a high-order interaction was consistently identified by MDR, LR and CART analyses. In MDR analysis, the three-factor model including MMP-2 C-1306T, FASL T-844C and FAS G-1377A yielded the highest testing accuracy of 0.632. When analysing combined effect of these three polymorphisms by LR, a significant gene dose effect was observed with the odds ratios (ORs) being increased with increasing numbers of risk genotypes (P(trend) = 4.736 × 10⁻¹²). In CART analysis, individuals carrying the combined genotypes of MMP-2 -1306CC, FASL-844TT or TC and FAS -1377AA had the highest risk for GCA (OR = 4.58; 95% confidence interval, 2.07-10.14) compared with the lowest risk carriers of the MMP-2 -1306CT or TT genotype. These results suggest that MMP-2 C-1306T polymorphism is an important risk factor for GCA and the multifactor interactions among polymorphisms in MMP-2, FASL and FAS play more important role in the development of GCA.