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To evaluate the performance of noninvasive prenatal screening (NIPS) for the fetal common aneuploidy screening in twin pregnancies.The data of 5469 women with twin pregnancies were collected in this retrospective observational study between January 2017 and December 2018. Patients underwent NIPS as first-line screening or after standard serum screening for fetal aneuploidy. The performance of NIPS was examined, and a regression analysis was performed to investigate testing failure in cases of low fetal fraction.In this study, 2231 (40.8%) patients opted for NIPS as the primary prenatal screening test, and 3238 (59.2%) opted for serum screening, including 440 patients who opted for NIPS after serum screening. Among the 2671 pregnancies with available NIPS outcomes, 11 cases of aneuploidy were identified, seven of trisomy 21 and four of sex chromosome aneuploidy (SCA). The sensitivity and specificity for trisomy 21 were 100% (95% CI, 56.1-100.0%) and 100% (95% CI, 99.8-100.0%), respectively. The positive predictive value (PPV) for SCA was 40.0% (95% CI, 13.7-72.6%). No false negatives were found, with a negative predictive value (NPV) of 100% (95% CI, 99.8-100.0%) in total. In 32 pregnancies who failed NIPS test without available NIPS outcomes due to low fetal fraction, the regression analysis demonstrated that increasing BMI and assisted reproductive technology treatment were significant independent predictors.NIPS is a high-performing routine primary prenatal screening test in twin pregnancies, with a high PPV and low false positive rate for detecting trisomy 21. It is also useful to identify common sex chromosome aneuploidies in twin pregnancies, with similar performance to that reported in singleton pregnancy.

In recent years, inorganic CsPbBr3-based perovskites have accomplished considerable progress owing to their superior stability under harsh humid environment. The power conversion efficiency (PCE) of CsPbBr3 perovskite solar cells (PSCs) has seen an unprecedented development from 5.74% to 10.91% with the improvement of the CsPbBr3 crystal quality. Despite extensive research efforts, the device efficiency of the CsPbBr3-based PSCs still lags behind that of other hybrid perovskite materials. Therefore, there is a significant interest in further boosting the performance of all-inorganic CsPbBr3 PSCs by the synergic optimization of films and device interfaces. In this review, we have discussed and summarized recent advances and methodologies related to CsPbBr3 films and PSCs. Furthermore, we discuss different fabrication strategies such as solution-based and vapor-based methods and their influence on the properties of CsPbBr3, particularly the morphology of films. Moreover, the timeline of improvement of the device efficiency from 2015 to 2020 is comprehensively addressed and developments are clearly sorted out by addressing critical factors influencing the photovoltaic performance. We further highlight state-of-the-art engineering strategies for CsPbBr3 PSCs that facilitate the crystallization control, charge extraction, suppression of charge recombination, and defect passivation in a systematic manner. At the end of the review, the summary and perspectives are presented along with beneficial guidelines for developing highly efficient and stable CsPbBr3 PSCs.

In the natural and social systems of the real world, various network can be seen everywhere. The world where people live can be seen as a combination of network with different dimensions. Link prediction formalizes the interaction behavior between people. Traditional link prediction methods mainly study the user behavior of static social network. This article studied the dynamic graph representation learning so as to put forward an improved link prediction model in dynamic social network. Besides, the interactions in the real world can be multiple, links at different moments may have different meanings. The proposed model firstly solved the problem of link prediction on multiple kinds of edges. The whole embedding of each node is separated into two parts, basic embedding and edge embedding. Then the proposed model selected time slices for dynamic social network to get the graph embeddings in different snapshots. What’s more, the $t+1$ time step embedding vector was used to validate $t$ time step prediction effect and the proposed model performed better than traditional graph representation learning methods.

After exposing dry high-volatile bituminous coal, low-volatile bituminous coal, and anthracite to CO2, we measured the swelling properties of the coal in two pressurization cycles with a maximum pr...

Recently, inorganic perovskite solar cells (PSCs) based on CsPbBr3 have triggered incredible interest due to the demonstrated excellent stability against thermal and high humidity environmental conditions. However, the power conversion efficiency (PCE) of the CsPbBr3-based PSCs is still lower than that of the organic-inorganic hybrid one, because of the large band gap and serious charge recombination at the interface or inside the device. Here, the working mechanism of the devices with normal n-i-p planar structure is modeled and investigated using SCAPS 1D simulation software. The simulation results state that the proper band structure of PSCs is crucial to carrier separation and transport. The high interface recombination, originated from the large band offsets of the electron transport material (ETM)/absorber and absorber/hole transport material (HTM) respectively, can be effectively diminished with the continuous gradient junction design of the absorber, and a PCE of 11.58% is obtained with a high open-circuit voltage (VOC) of 1.68 V. Moreover, by building a heterojunction bilayer absorption scenario of CsPbIBr2/CsPbBr3 and employing ZnOS and Cu2ZnSnS4 films as the ETM and HTM respectively, the PCE of PSCs is further increased to 15.89%, caused mainly by the enhancement in short-current density (JSC). Moreover, reducing the interface defect density is also very important to improve the performance of PSCs. These results will provide theoretical guidance for improving the performance of the CsPbBr3-based PSCs.

Human activities are usually collective, so clustering has become an important feature of human behavior. This paper studied the evolution of the community in the process of public opinion propagation so as to put forward a public opinion evolution model for the network community number. This study proposed the community number evolution model of public opinion based on stochastic competitive learning, and the proposed model consists of an increase in the number of communities and a decrease in the number of communities. The highlight of this model is that on the one hand, it realizes the research on the evolution of public opinions on the dynamic network; on the other hand, unlike other public opinion evolution models, this model pays attention to the community number increase and decrease rules in the evolution of public opinions. Then, as an extension of the community number evolution model of public opinion, the community number prediction model had been proposed. Based on Twitter data from the 2017 London Bridge attack, the proposed models were validated by experiments. In the verification section of this paper, two methods had been introduced as a comparison. The experimental results show that the community number evolution model of public opinion is correct.

Formamidinium tin iodide (FASnI3), as one promising Pb-free halide perovskite, has received extensive attention. But perovskite solar cells (PSCs) based on FASnI3 films have yet to realize the high power conversion efficiency (PCE) achieved in its Pb-based counterparts. To investigate the limitation of FASnI3-based perovskite solar cells with inverted p-i-n planar structures, the influences of various parameters on the device performance are analyzed through device simulation. The results reveal that defect density at front hole transport material (HTM)/absorber interface is critical for high efficiency. And it is interesting to note that the doping density, rather than the doping type and its space distribution, dominates the device properties, and an upper limit of 1 × 1016 cm−3 is achieved. In addition, the response of device to band offset is investigated, and an optimum electron affinity of 3.9 eV is obtained. Finally, the effects of relative permittivity and thickness of the absorber with different carrier lifetime are studied. A maximum PCE of 9.75% is achieved at absorber thickness of 300 nm with carrier lifetime of 0.1 ns? These results show that optimizing the interface property and band offset, improving the stability of Sn2+ and reducing the defect density of absorber layer are the main challenges for high-performance FASnI3-based PSCs in the future research.

BackgroundOur aim was to provide a theoretical basis for clinicians to conduct genetic counseling and choose further prenatal diagnosis methods for pregnant women who failed non-invasive prenatal screening (NIPS).MethodsA retrospective analysis was performed on pregnant women who had failed NIPS tests.ResultsAmong the 123,291 samples, 394 pregnant women did not obtain valid results due to test failures. A total of 378 pregnant women were available for follow-up, while 16 patients were lost to follow-up. Of these 378, 135 pregnant women chose further prenatal diagnosis through amniocentesis, and one case of dysplasia was recalled for postpartum chromosome testing. The incidence rate of congenital chromosomal abnormalities in those who failed the NIPS was 3.97% (15/378), which was higher than that of the chromosomal abnormalities in the common population (1.8%). Among the pregnant women who received prenatal diagnosis, the positive rates of chromosomal abnormalities in the chromosomal microarray analysis/copy number variation sequencing (CMA/CNV-seq) group and in the karyotyping group were 15.28 and 4.76%, respectively.ConclusionPrenatal diagnosis should be strongly recommended in posttest genetic counseling for pregnant women with NIPS failures. Further, high-resolution detection methods should be recommended for additional prenatal diagnoses.

In recent years, the popularity of the Internet makes the public more inclined to online shopping, which breaks through the limitation of time and region. There are many kinds of online goods, which make the platform users have to spend a lot of energy to choose goods. In order to better refine the shopping needs of e-commerce platform users, we can mine the online shopping behavior and transaction data of users to predict the future shopping behavior of users, so as to guide the platform to adjust accordingly. Based on the real data of Taobao shopping platform, this paper conducts data mining on the user’s behavior. Firstly, it processes the data outliers, removes the noise from the original data, removes the default value, and then constructs other different feature combinations from the dimension of the goods, which are more in line with the characteristics of the data, and extracts the features. The statistical behavior data is filtered and processed. The recurrent neural network (RNN) algorithm is used to classify the user behavior sequence, and the user’s behavior tendency score is obtained. Then the score is regarded as a new feature, and the naive Bayesian algorithm is used to optimize the recurrent neural network for further prediction. The results are compared with those obtained by using a simple Bayesian algorithm. The test results show that the method proposed in this paper is more stable and can reduce the impact of the length of time series on the prediction accuracy. The prediction accuracy is also improved compared with a single naive Bayesian model, which has better practicability.

Since the first report in 2009, the certified power conversion efficiency (PCE) of organic-inorganic halide perovskite solar cells (PSCs) has rapidly risen to 23.3%, which successfully demonstrates the importance of film morphology and quality management, especially for the planar heterojunction architecture based on solution-processed method. In this paper, the morphology, structure, optical and electrical properties of perovskite films treated by two different multi-step thermal annealing methods have been studied and compared. For the conventional multi-step (CMS) annealing method, the surface morphologies and optical properties of films are significantly influenced by the annealing temperature due to the decomposition of CH3NH3PbI3. When the modified multi-step (MMS) method is adopted, the decomposition of CH3NH3PbI3 can be effectively suppressed. The best device treated by MMS method at 180 °C showed a short circuit current density of 20.85 mA/cm2, an open circuit voltage of 0.96 V, a fill factor of 72.7%, and a PCE of 14.7%, which is a 23.5% enhancement in PCE relative to the maximum 11.9% treated by CMS method at 160 °C. These findings suggest that the efficiency of PSCs can be further improved by optimizing the preparation process.

This study presents the design and experiment of a terahertz reflective phase shifter based on liquid crystal. The proposed voltage-tunable phase shifter takes advantage of the variable permittivity of the liquid crystal, adjusted by an external electric field, providing tunable reflective phase shift of terahertz (THz) waves. We analysed the performance of this phase shifter using a simple isotropic and homogeneous model considering the angle of incidence. The phase variation was achieved in a range greater than 360° and frequencies from 349 to 361 GHz. An array constituted of 900 patch elements was fabricated using the photolithographic process. It provided tunable phase range of 350° over the frequency range of 353.5-359.3 GHz at 40 V, where a maximum phase shift 362.6° was achieved at 357 GHz. The LC dielectric constant was obtained by fitting the computed reflectance spectrum to the measured result. We compared accurate model, considering both inhomogeneity and anisotropy of the liquid crystal, with the simplified model. In addition, the differences were analysed between the measurements, accurate and conventional model. The results show the liquid crystal phase shifter is great for beam scanning antenna array in THz.

Methane (CH4) is the second most important greenhouse gas, contributing approximately 17% of radiative forcing, and CH4 emissions from river networks due to intensified human activities have become a worldwide issue. However, there is a dearth of information on the CH4 emission potentials of different rivers, especially those draining contrasting watershed landscapes. Here, we examined the spatial variability of diffusive CH4 emissions and discerned the roles of environmental factors in influencing CH4 production in different river reaches (agricultural, urban, forested and mixed-landscape rivers) from the Chaohu Lake Basin in eastern China. According to our results, the urban rivers most frequently exhibited extremely high CH4 concentrations, with a mean concentration of 5.46 μmol L−1, equivalent to 4.1, 9.7, and 7.2 times those measured in the agricultural, forested, and mixed-landscape rivers, respectively. The availability of carbon sources and total phosphorus were commonly identified as the most important factors for CH4 production in agricultural and urban rivers. Dissolved oxygen and oxidation-reduction potential were separately discerned as important factors for the forested and mixed-landscape rivers, respectively. Monte Carlo flux estimations demonstrated that rivers draining contrasting landscapes exhibit distinct potentials to emit CH4. The urban rivers had the highest CH4 emissions, with a flux of 9.44 mmol m−2 d−1, which was 5.1–10.4 times higher than those of the other river reaches. Overall, our study highlighted that management actions should be specifically targeted at the river reaches with the highest emission potentials and should carefully consider the influences of different riverine environmental conditions as projected by their watershed landscapes.

Owing to the inevitability of moisture/thermal instability in organic-inorganic hybrid perovskites, pure inorganic perovskites such as CsPbI2Br perovskite have surfaced as promising options for commercial perovskite solar cells (PSCs) due to their high photovoltaic performance and excellent inherent stability. However, designing additive engineering approaches to mitigate defect-induced crystalline phase transitions from a photosensitive perovskite phase to a non-perovskite phase has been a difficult task for researchers. In this work, using a one-step spin coating approach, we have prepared a polyvinylpyrrolidone (PVP) polymer-incorporated stable phase of CsPbI2Br at a low temperature (120 ​°C). Examinations using structural, morphological, and photo-physical measurements revealed that the optimum amount of PVP can greatly improve the optoelectronic properties of the film, which facilitates in reducing the trap states and defect in perovskite film, thus enabling charge carrier separation and suppressing charge recombination. As a result, the device based on 5 ​mg-PVP achieves a champion power conversion efficiency (PCE) of 10.47%, with a fill factor (FF) of 56.35%, a short-circuit current (JSC) of 18.47 ​mA ​cm2, and an open-circuit voltage (VOC) of 1.01 ​V, which is significantly higher than the device without PVP (6.36%). These findings suggest that PVP-CsPbI2Br has tremendous promise for future research and application in photovoltaic devices.

The authors present a triple-band metamaterial absorber operating at mm wave frequency band. The absorber is composed of periodic unit cells, which consists of a new pattern and a ground plane, placed in two sides of a dielectric substrate made of polyimide film. To best understand the absorption mechanisms, full-wave simulation results for the electric field, surface current, and power loss distributions are presented. The experimental results, for a transverse electric-polarised normal incident wave, show three distinctive absorption peaks, at frequencies 101.25, 108.75, and 129 GHz with absorptivities of 92.5, 94.9, and 88.6%, respectively. The absorber is independent of the wave polarisation, where high absorption is achieved for a wide range of oblique angles of incidence.

We present a reflective spatial phase shifter which operates at terahertz regime above 325 GHz. The controllable permittivity of the nematic liquid crystals was utilized to realize a tunable terahertz (THz) reflective phase shifter. The reflective characteristics of the terahertz electromagnetic waves and the liquid crystal parameters were calculated and analyzed. We provide the simulation results for the effect of the incident angle of the plane wave on the reflection. The experiment was carried out considering an array consisting of 30 × 30 patch elements, printed on a 20 × 20 mm quartz substrate with 1-mm thickness. The phase shifter provides a tunable phase range of 300° over the frequency range of 325 to 337.6 GHz. The maximum phase shift of 331° is achieved at 330 GHz. The proposed phase shifter is a potential candidate for THz applications, particularly for reconfigurable reflectarrays.

In this paper, a liquid crystal (LC) based tunable metamaterial absorber with dual-band absorption is presented. The proposed absorber is analysed both numerically and experimentally. The analysis shows that the two absorption peaks, originating from the new resonant structure, are experimentally detected at 269.8 GHz and 301.4 GHz when no bias voltage is applied to the LC layer. In order to understand the absorption mechanisms, simulation results for the surface current and power loss distributions are presented. Since liquid crystals are used as the dielectric layer to realize the electrically tunable absorber, a frequency tunability of 2.45% and 3.65% for the two absorption peaks is experimentally demonstrated by changing the bias voltage of the LC layer from 0 V to 12 V. Furthermore, the absorber is polarization independent and a high absorption for a wide range of oblique incidence is achieved. The designed absorber provides a way forward for the realization of tunable metamaterial devices that can be applied in multi-band detection and imaging.

Recommender systems have been widely adopted in many web services. As the performance of the recommender system will directly affect the profitability of the business, driving bad merchants to boost revenue for themselves by conducting adversarial attacks to compromise the effectiveness of such systems. Several studies have shown that recommender systems are vulnerable to adversarial attacks, e.g. data poisoning attack. Since different recommender systems adopt different algorithms, existing attacks are designed for specific systems. In recent years, with the development of graph deep learning, recommender systems have been also starting to use new methods, like graph convolutional networks. More recently, graph convolutional networks have also been found to be affected by poisoning attacks. However, characteristics of data sources in recommender systems, such as heterogeneity of nodes and edges, will bring challenge to solve attack problem. To overcome this challenge, in this paper, we propose data poisoning attacks on graph convolutional matrix completion (GCMC) recommender system by adding fake users. The key point of the method is to make fake users mimicrking rating behavior of normal users, then pass the information of thier rating behaviors towards the target item back to related normal users, attempting to interfere with the prediction of the recommender system. Futhermore, on two real-world datasets ML-100K and Flixster, the results show that our method significantly overmatches three baseline methods: (i) random attack, (ii) popular item based attack, (iii) and mimicry with random scores based attack.

To evaluate the clinical performance of noninvasive prenatal screening (NIPS) for fetal sex chromosome aneuploidies (SCAs), pregnant women were recruited in this retrospective observational study. The NIPS test was undertaken using high-throughput gene sequencing. In total,50,301 pregnant women were analysed for demographic characteristics and medical history. Of them, 308 women (0.61%) had high risk for fetal SCAs, including 138 for 45,X, 111 for 47,XXY, 42 for 47,XXX, and 17 for 47,XYY. After the pre-test counselling, 182 participants chose to undergo invasive prenatal diagnosis, confirming 59 positive cases. The combined positive predictive value of NIPS was 32.42% (59/182), 18.39% (16/87), 44.4% (12/27), 39.29% (22/56), and 75% (9/12) for detecting SCAs, 45,X, 47,XXX, 47,XXY, and 47,XYY, respectively. NIPS can be a useful method to detect the fetal SCAs using high-throughput gene sequencing, though accuracy can still be improved, especially for 45,X. Although the value of NIPS compare favorably with those seen in traditional screening approaches for SCAs, it is important to highlight the limitations of NIPS while educating clinicians and patients.

Inorganic perovskites (CsPbX3, X = I−, Br− or Cl−) have got researchers attention in the photovoltaic community due to their exceptional photoelectric properties and high thermal stability. In this work, we have explained a two-step vapor deposition approach to fabricate the CsPbCl3 films. To improve the properties of CsPbCl3 perovskite, different reaction conditions and their influence on the structural, morphological and optical properties of resultant films were systematically examined. We found that the proposed deposition strategy has a wide reaction window and is viable for the preparation of uniform CsPbCl3 films. The optimal reaction conditions resulted in improved crystallinity, morphology and photoluminescence. The present work will provide beneficial guidance for high-quality CsPbCl3 and other CsPbX3 perovskite films for future optoelectronic applications.

A metamaterial (MM) structure composed of a graphene layer, a SiO2/Si substrate, and a metal pattern layer, which is dynamically tunable is numerically proposed at terahertz (THz) frequencies. This study shows that the modulation of the proposed structure mainly depends on the transmission band between two neighboring resonance dips. Based on this property, a fairly wide modulation bandwidth is realized. Moreover, by adjusting the Fermi level of the graphene layer, a modulation depth of the transmission can reach 91.63% for y-polarized wave and 78.66% for x-polarized wave, respectively. Most importantly, the fabrication of the proposed structure is much easier than reported graphene MM modulators as the graphene monolayer is directly deposited on a substrate. This work may provide a further step in the development of tunable devices, such as broadband transmission modulators and sensors.

A tunable metamaterial absorber based on the liquid crystal intended for F frequency band is presented. The proposed absorber was analyzed both numerically and experimentally. The conducted analysis has shown that the bias voltage affects the orientation of the nematic liquid crystal embedded in the mesh voids and causes the resonant frequency shift from 110.9 to 103.8 GHz with the frequency tunability of 6.4%. The absorptivity of the proposed absorber was measured, and it was higher than 90% for all bias voltages. Therefore, the proposed absorber provides a new opportunity in development of tunable sensors and absorbers.

Currently, users’ location information is collected to provide better services or research. Using a central server to collect, store and share location information has inevitable defects in terms of security and efficiency. Using the point-to-point sharing method will result in high computation overhead and communication overhead for users, and the data are hard to be verified. To resolve these issues, we propose a new blockchain-based multi-level location secure sharing scheme. In our proposed scheme, the location data are set hierarchically and shared with the requester according to the user’s policy, while the received data can be verified. For this, we design a smart contract to implement attribute-based access control and establish an incentive and punishment mechanism. We evaluate the computation overhead and the experimental results show that the computation overhead of our proposed scheme is much lower than that of the existing scheme. Finally, we analyze the performances of our proposed scheme and demonstrate that our proposed scheme is, overall, better than existing schemes.

CsPbI3 perovskite materials have triggered enormous research attention as promising light-harvesting or fluorescent materials, owing to their high photoluminescence quantum yields, narrow photoluminescence (PL) emission spectra and excellent photophysical properties based on the quantum confinement effect. However, the formation of desirable black-phase CsPbI3 requires complex processing at higher annealing temperatures and upon formation it suffers from instability issues at room temperature, hindering its potential for optoelectronic application. In this work, using polyvinylpyrrolidone (PVP) as an additive, highly stable CsPbI3 nanocrystalline films are prepared at a low annealing temperature of 180 °C via a one-step spin-coating method. It is found that the PVP additive not only improves the stability by inhibiting the transition of CsPbI3 from α- to δ-phase at room temperature but also influences the crystallization dynamics. In addition, the PL intensity is substantially enhanced due to the suppression of non-recombination sites with PVP. With a PVP concentration of 12 wt%, a charge carrier lifetime of 43.99 ns is obtained and a palpable orange-yellow color is formed irradiated in plane by a green laser. Finally, a simple photodetector is fabricated with a structure of FTO/PVP-CsPbI3/Ag, exhibiting excellent photodetecting response with increased PVP concentration in the film. These results suggest that PVP-CsPbI3 has strong research and application potential in the future in optoelectronic devices.

In recent years, the organic-inorganic perovskite materials have revolutionized the Photovoltaic industry with highly efficient power conversion devices accompanied by a high growth rate. However, these devices experience major environmental and stability issues that hinder their true potential. More recently, a rarely studied perovskite material Cs2SnI6 is gaining enormous attention due to its superior stability and suitable bandgap. In this work, we developed a modified two-step process to prepare uniform Cs2SnI6 films, and the influence of the reaction conditions on the properties is explored. The structural, morphological, optical, and electrical properties of the prepared films were investigated using x-ray diffraction, Raman spectroscopy, scanning electron microscopy, UV–vis spectrometer, photoluminescence, and Hall Effect measurements, respectively. Phase stability and morphology of the films are improved with optimizing the reaction conditions. The results confirm the n-type semiconductor nature of Cs2SnI6 with bandgap ranging from 1.29 eV to 1.42 eV with maximum carrier mobility of 425 cm2 V−1 s−1. The present study will further provide potential research directions in improving the device efficiency of air-stable Cs2SnI6 perovskite solar cells.

Adipose inflammation is an important cause for obesity-associated metabolic disorders, including insulin resistance and hypertension. Here we investigated that a circular RNA (circRNA), which we termed circARF3 (ADP-ribosylation factor 3), acts as an endogenous miR-103 sponge to alleviate adipose inflammation by promoting mitophagy. On the other hand, miR-103 aggravated inflammation by inhibiting mitophagy, revealing that miR-103 acts as a positive regulator of adipose inflammation. Furthermore, we found that tumor necrosis factor receptor-associated factor 3 (TRAF3), as a miR-103 downstream target, mediates the functions of miR-103 in adipose inflammation. Overexpressing TRAF3 attenuated miR-103-induced inflammation by accelerating mitophagy. Moreover, we identified that circARF3 blocked miR-103 effects, which resulted in an increase in TRAF3 expression. TRAF3 restrained the nuclear factor κB (NF-κB)-signaling pathway, heightened mitophagy, and suppressed NLRP3 inflammasome activation ultimately. Our data showed that circARF3 acts as an endogenous miR-103 sponge to inhibit mitophagy-mediated adipose inflammation both in vitro and in vivo. These findings disclose a new regulatory pathway for adipose inflammation, which consists of circARF3, miR-103, and TRAF3. This study can be a useful addition to our knowledge, as it provides a new strategy for the prevention of adipose inflammation in obesity disorder. Keywords: circRNA, miR-103, TRAF3, mitophagy, inflammation, adipose tissue

A polarization-dependent, frequency-selective metamaterial (MM) absorber based on a single-layer patterned resonant structure intended for F frequency band is proposed. The design, fabrication, and measurement for the proposed absorber are presented. The absorber’s absorption properties at resonant frequencies have unique characteristics of a single-band, dual-band, or triple-band absorption for different polarization of the incident wave. The calculated surface current distributions and power loss distribution provide further understanding of physical mechanism of resonance absorption. Moreover, a high absorption for a wide range of TE-polarized oblique incidence was achieved. Hence, the MM structure realized on a highly flexible polyimide film, makingthe absorber suitable for conformal geometry applications. The proposed absorber has great potential in the development of polarization detectors and polarizers.

In recent years, ultraviolet (UV) photodetectors based on nanomaterials of wide-bandgap semiconductors have emerged as a hot topic for miniaturizing these devices and saving energy. Herein, for the first time, we report a micro p-n nanowire-heterojunction constructed from a NiO-coated Ni core-shell nanowire combined with a ZnO layer (NiO@ZnO) and a UV photodetector based on this micro p-n nanowire-heterojunction. The micro NiO@ZnO-nanowire-heterojunction shows good rectification effects with a rectification ratio of 6000 at a ± 2 V applied bias and a turn-on voltage of 0.5 V. The UV photodetector exhibits excellent performances of self-powered UV photodetection with a peak photoresponsivity of 17 mA/W under zero bias at the wavelength of 312 nm. The cutoff wavelength is located at 362 nm, and a dark current is ∼0.25 pA. Our findings provide an alternative approach to miniaturize UV detectors for daily carrying based on nanowire-heterojunction materials.

In this paper we develop a methodology for measuring visitors who come from other country using social media check-in data. Based on a review of the literature on this topic we propose an urban tourism check algorithm which can find the people who are the tourists and find out where the people come from and the route of their visit. We get the data from the Sina Weibo, and the data is composed of the POI data, user check-in data, place check-in data and so on. We choose Shanghai as the research target and analyze the tourism palace Renmin Square, Yu Garden, the Bund and Chenhuang Temple in 2016. We get the number of POI data 518, the user number 213091, and the check-in number 291295. The experimental results show that the number of outside visit is 177718, the rate is 83.4% in all the user, and 151060 visits are real tourist. The accuracy rate is 85.1%. And the distribution of the tourist shows that the most of tourists come from Zhe Jiang, Jiang Su and Bei Jing.

A 340GHz modulator based on double-layer metal hole arrays was presented in this paper. The controllable permittivity of nematic liquid crystals is utilized to realize a tunable THz transmittance. The transmission characteristics of the terahertz electromagnetic waves and following LC parameters have been calculated and analyzed. At 340GHz, modulator achieves an intensity modulation depth of 91.3% by changing LC permittivity. The effect of the incident angle of plane wave on the 340GHz transmittance has been simulation. The results of numerical simulation show that the transmittance still can be effective modulated at electromagnetic wave oblique incidence, when E→ is parallel to the surface of the metal layer.

An hybrid graphene/metamaterial(MM) structure by directly depositing single-layer graphene on bottom of a SiO2/Si substrate of the electric ring resonators is proposed and theoretically investigated in the terahertz(THz) region. Our calculated results show that the presence of the graphene strongly changes the THz MM transmittance in the frequency range from 0.1 to 1.7 THz, and a modulation depth of 80% or above is reached on the whole frequency range except a narrow band. The tunability of the proposed structure is mainly dependent on the transmission bands between two neighboring resonance frequencies, which is different from the conventional graphene MM structure based on single resonance dip. Moreover, the energy absorption in graphene layer plays an important role in THz wave modulation. This easy-to-fabricate structure shows potential applications in developing broadband transmission modulators and sensors.