Promoting photocarriers separation in S-scheme system with Ni_(2)P electron bridge:The case study of BiOBr/Ni_(2)P/g-C_(3)N_(4)

Constructing step-scheme(S-scheme)heterojunctions can considerably facilitate separation and transfer of photocarriers,as well as promote strong redox ability.The interface resistance of heterojunctions immediately affects photocarrier separation and determines the photocatalytic activity.Herein,we constructed a novel Bi OBr/Ni_(2)P/g-C_(3)N_(4) heterojunction using Ni_(2)P as a novel electron bridge to reduce the interfacial resistance of photocarriers between Bi OBr and g-C3N4.The as-prepared 10% BiOBr/Ni2P/g-C_(3)N_(4) sample exhibited outstanding visible-light photocatalytic performance for methyl orange and rhodamine B removal,with degradation efficiencies of 91.4% and 98.9%,respectively.The excellent photocatalytic activity of Bi OBr/Ni_(2)P/g-C_(3)N_(4) was mainly attributed to the synergistic effects of the Ni2P cocatalyst and S-scheme heterojunction,which not only reduced the interface resistance but also retained the strong redox potential of the photocarriers.In addition,the formation of the S-scheme system was supported by active oxygen species investigation,current-voltage curves,and density functional theory calculations.This work provides a guideline for the design of highly efficient S-scheme photocatalysts with transition metal phosphates as electron bridges to improve photocarriers separation.

Estimation of Thermal Imaging System Operating Range Based on Background Radiation

Traditional operating range prediction methods assume that the atmospheric radiances in a target path and a background path are equal. But they are different in a real-world environment. To solve this problem,the influence of atmospheric radiance on operating range prediction is analyzed in this paper. Range estimation model in thermal imaging based on background radiation（ REBR） is proposed. Infrared image radiometric calibration is used to calculate the background radiation of a system entrance pupil. The result shows that,compared with traditional operating range prediction methods,the REBR method is more suitable for the actual atmospheric transmission process and the physical process of infrared imaging.

GRAPHICS PROCESSING UNIT CLUSTER ACCELERATED MONTE CARLO SIMULATION OF PHOTON TRANSPORT IN MULTI-LAYERED TISSUES

We present a graphics processing unit(GPU)cluster-based Monte Carlo simulation of photon transport in multi-layered tissues.The cluster is composed of multiple computing nodes in a local area network where each node is a personal computer equipped with one or several GPU(s)for parallel computing.In this study,the MPI(Message Passing Interface),the OpenMP(Open Multi-Processing)and the CUDA(Compute Unified Device Architecture)technologies are employed to develop the program.It is demonstrated that this designing runs roughly N times faster than that using single GPU when the GPUs within the cluster are of the same type,where N is the total number of the GPUs within the cluster.

An improved multi-attribute decision-making based network selection algorithm for heterogeneous vehicular network

1 Introduction With sharply rising quantity of urban vehicles over the past few decades,traffic jams and safety have gradually become outstanding problems.In recent years,Vehicular Ad hoc Network(VANET)is appeared and utilized to solve traffic related issues.It is a type of self-organized and open-structured network,and provides Vehicle-to-Everything(V2X)communications.Almost all kinds of applications in VANET rely on efficient data transmission and interaction[1-3].

Short-term impacts of air pollution on the platelet-lymphocyte ratio and neutrophil-lymphocyte ratio among urban adults in China

The short-term impacts of urban air pollution on the platelet-lymphocyte ratio (PLR) and neutrophil-lymphocyte ratio (NLR) remain obscure.In this study,we included 3487 urban adults from the Wuhan-Zhuhai cohort.Individual inhalation exposure to air pollutants was estimated by combining participants’daily breath volume and ambient concentrations of six air pollutants (includingfine particulate matter (PM_(2.5)),inhalable particulate matter(PM_(10)),nitrogen dioxide (NO_(2)),sulfur dioxide (SO_(2)),carbon monoxide (CO) and ozone (O_(3))).The cumulative impacts were assessed by applying lag structures of up to 7 days before the survey date.Associations of air pollutants with PLR and NLR were assessed using a linear mixed model and Bayesian kernel machine regression (BKMR) model.We found that PLR was negatively related to PM_(2.5)(lag02-lag06),PM_(10)(lag02-lag07),NO_(2)(lag02-lag07),and SO_(2)(lag03-lag05) and NLR was negatively related to PM_(10)(lag05 and lag07).In the BKMR model,a negative joint association between the six-air-pollutant mixture and PLR and NLR was observed,whereas PM_(10)and NO_(2)appeared to be more important than the other pollutants in the mixture.The negative impact of air pollutants was stronger in males,participants with lower body mass index (<24 kg/m^(2)),those cooking meals at home,drinkers,and nonexercisers.In conclusion,short-term exposure to air pollutants is significantly related to PLR and NLR in peripheral blood.PLR and NLR may provide new insight into the molecular mechanism underlying the adverse health impact of air pollutants.

Associations of short-term ambient temperature exposure with lung function in middle-aged and elderly people:A longitudinal study in China

The short-term associations of ambient temperature exposure with lung function in middle-aged and elderly Chinese remain obscure.The study included 19,128 participants from the Dongfeng-Tongji cohort's first(2013)and second(2018)follow-ups.The lung function for each subject was determined between April and December 2013 and re-assessed in 2018,with three parameters(forced vital capacity[FVC],forced expiratory volume in 1 s[FEV1],and peak expiratory flow[PEF])selected.The China Meteorological Data Sharing Service Center provided temperature data during the study period.In the two follow-ups,a total of 25,511 records(average age:first,64.57;second,65.80)were evaluated,including 10,604 males(41.57%).The inversely J-shaped associations between moving average temperatures(lag01–lag07)and FVC,FEV1,and PEF were observed,and the optimum temperatures at lag04 were 16.5C,18.7C,and 16.2C,respectively.At lag04,every 1C increase in temperature was associated with 14.07 mL,9.78 mL,and 62.72 mL/s increase in FVC,FEV1,and PEF in the lowtemperature zone(<the optimum temperatures),whereas 5.72 mL,2.01 mL,and 11.64 mL/s decrease in the high-temperature zone(the optimum temperatures),respectively(all P<0.05).We observed significant effect modifications of gender,age,body mass index,body surface area,smoking status,drinking status,and physical activity on the associations(all Pmodification<0.05).Non-optimal temperatures may cause lung function decline.Several individual characters and lifestyles have effect modification on the temperature effects.

Secure Sensitive Data Sharing on a Big Data Platform

Users store vast amounts of sensitive data on a big data platform. Sharing sensitive data will help enterprises reduce the cost of providing users with personalized services and provide value-added data services.However, secure data sharing is problematic. This paper proposes a framework for secure sensitive data sharing on a big data platform, including secure data delivery, storage, usage, and destruction on a semi-trusted big data sharing platform. We present a proxy re-encryption algorithm based on heterogeneous ciphertext transformation and a user process protection method based on a virtual machine monitor, which provides support for the realization of system functions. The framework protects the security of users＇ sensitive data effectively and shares these data safely. At the same time, data owners retain complete control of their own data in a sound environment for modern Internet information security.