Intelligent textiles make life wirelessly energetic by coupling radiation energy and human

Smart wearable textilesintegrating micro/nano electronics into fibers/garments represent state-of-the-art wearable technology and show great potential applications in healthcare,smart city,intelligent robotics,etc.[1]To this end,wearable nanosensors,logic circuits,electronic skin,flexible batteries,etc.,are incorporated into fabrics to create stretchable and wearable e-textiles.

Semiempirical equations of state of H_(2)O/CO_(2) binary mixtures in graphite nanoslits

The existence of confining walls limits the prediction accuracy of nanoconfined fluids using macroscopic equations of state(EOSs);moreover,appropriate EOSs for multicomponent mixture fluids in nanoconfined spaces are missing.Here,we derive the EOS of multicomponent mixture fluids confined in nanospaces at high temperatures and pressures,mainly considering the nanoconfinement effect and the competitive adsorption effect between different components.Then,the EOSs are validated through comparison with the molecular dynamics-simulated Pv T data of CO_(2)/H_(2)O mixtures in graphite nanoslits.To consider the above effects,we derive two EOSs via two modeling methods:EOS I is obtained through modification of the actual component occupation volume in the Peng-Robinson equation of state(PR EOS)by fitting the binary component interaction coefficient and the number of adsorbed molecules according to a selectivity coefficient,while EOS II is obtained by considering the decreased pressure of the fluids in PR EOS by adding an attractive term between components and walls.With the simulation results as a benchmark,the two EOSs exhibited good prediction accuracies under low CO_(2) concentrations,and generally,EOS II was more accurate than EOS I.This study fills the gap in the EOSs of nanoconfined mixture fluids,and the obtained equations can help to further describe the thermodynamic properties of confined mixture fluids.

A green and efficient strategy facilitates continuous solar-induced steam generation based on tea-assisted synthesis of gold nanoflowers

Developing a highly efficient system for solar steam generation(SSG)using a straightforward and eco-friendly method to harvest freshwater is fascinating but challenging.Here,we stir the mixture of brewed tea and HAuCl4 to prepare Au nanoflowers,possessing broad wavelength light absorption and excellent photothermal effects.After freeze-drying the mixture of Au nanoflowers,cellulose nanocrystals(CNCs),and aqueous polyurethane(PU)emulsion,we obtain three-dimensional(3D)porous structures(CNC-PU-Au)for SSG.The whole process does not involve any sophisticated procedure or produce detrimental byproducts.The evaporation rates are 2.24 kg·m^(−2)·h^(−1) for pure water and 2.18 kg·m^(−2)·h^(−1) for seawater using CNC-PU-Au under one sun.The solar energy conversion efficiency is up to 90.92%under one sun illumination.Besides,CNC-PU-Au shows self-driven salt resistance and durability.In outdoors application for seawater desalination,the maximum evaporation rate can maintain at 2.19 kg·m^(−2)·h^(−1) in spring and 3.42 kg·m^(−2)·h^(−1) in summer.These unique features promise the utility of CNC-PU-Au in the ecofriendly water treatment industry.

Optimization design of anti-seismic engineering measures for intake tower based on non-dominated sorting genetic algorithm-Ⅱ

High-rise intake towers in high-intensity seismic areas are prone to structural safety problems under vibration.Therefore,effective and low-cost anti-seismic engineering measures must be designed for protection.An intake tower in northwest China was considered the research object,and its natural vibration characteristics and dynamic response were first analyzed using the mode decomposition response spectrum method based on a three-dimensional finite element model.The non-dominated sorting genetic algorithm-II(NSGA-II)was adopted to optimize the anti-seismic scheme combination by comprehensively considering the dynamic tower response and variable project cost.Finally,the rationality of the original intake tower antiseismic design scheme was evaluated according to the obtained optimal solution set,and recommendations for improvement were proposed.The method adopted in this study may provide significant references for designing anti-seismic measures for high-rise structures such as intake towers located in high-intensity earthquake areas.

Enhanced electrocaloric effect at room temperature in Mn^(2+) doped lead-free(BaSr)TiO_(3) ceramics via a direct measurement

(Ba_(1-x)Sr_(x))(MnyTi1-y)O_(3)(BSMT)ceramics with x=35,40 mol%and y=0,0.1,0.2,0.3,0.4,0.5 mol%were prepared using a conventional solid-state reaction approach.The dielectric and ferroelectric properties were characterized using impedance analysis and polarization-electric field(P-E)hysteresis loop measurements,respectively.The adiabatic temperature drop was directly measured using a thermocouple when the applied electric field was removed.The results indicate that high permittivity and low dielectric losses were obtained by doping 0.1-0.4 mol%of manganese ions in(BaSr)TiO_(3)(BST)specimens.A maximum electrocaloric effect(ECE)of 2.75 K in temperature change with electrocaloric strength of 0.55 K·(MV/m)^(-1)was directly obtained at~21℃and 50 kV/cm in Ba_(0.6)Sr_(0.4)Mn_(0.001)Ti_(0.999)O_(3) sample,offering a promising ECE material for practical refrigeration devices working at room temperature.

Tissue-specific Hi-C analyses of rice, foxtail millet and maize suggest non-canonical function of plant chromatin domains

Chromatins are not randomly packaged in the nucleus and their organization plays important roles in transcription regulation,which is best studied in the mammalian models.Using in situ Hi-C,we have compared the 3D chromatin architectures of rice mesophyll and endosperm,foxtail millet bundle sheath and mesophyll,and maize bundle sheath,mesophyll and endosperm tissues.We found that their global A/B compartment partitions are stable across tissues,while local A/B compartment has tissue-specific dynamic associated with differential gene expression.Plant domains are largely stable across tissues,while new domain border formations are often associated with transcriptional activation in the region.Genes inside plant domains are not conserved across species,and lack significant co-expression behavior unlike those in mammalian TADs.Although we only observed chromatin loops between gene islands in the large genomes,the maize loop gene pairs’syntenic orthologs have shorter physical distances in small genome monocots,suggesting that loops instead of domains might have conserved biological function.Our study showed that plants’chromatin features might not have conserved biological functions as the mammalian ones.

IoT data cleaning techniques: A survey

Data cleaning is considered as an effective approach of improving data quality in order to help practitioners and researchers be devoted to downstream analysis and decision-making without worrying about data trustworthiness.This paper provides a systematic summary of the two main stages of data cleaning for Internet of Things(IoT)data with time series characteristics,including error data detection and data repairing.In respect to error data detection techniques,it categorizes an overview of quantitative data error detection methods for detecting single-point errors,continuous errors,and multidimensional time series data errors and qualitative data error detection methods for detecting rule-violating errors.Besides,it provides a detailed description of error data repairing techniques,involving statistics-based repairing,rule-based repairing,and human-involved repairing.We review the strengths and the limitations of the current data cleaning techniques under IoT data applications and conclude with an outlook on the future of IoT data cleaning.