Blockchain-Based Certificateless Bidirectional Authenticated Searchable Encryption Scheme in Cloud Email System

Traditional email systems can only achieve one-way communication,which means only the receiver is allowed to search for emails on the email server.In this paper,we propose a blockchain-based certificateless bidirectional authenticated searchable encryption model for a cloud email system named certificateless authenticated bidirectional searchable encryption(CL-BSE)by combining the storage function of cloud server with the communication function of email server.In the new model,not only can the data receiver search for the relevant content by generating its own trapdoor,but the data owner also can retrieve the content in the same way.Meanwhile,there are dual authentication functions in our model.First,during encryption,the data owner uses the private key to authenticate their identity,ensuring that only legal owner can generate the keyword ciphertext.Second,the blockchain verifies the data owner’s identity by the received ciphertext,allowing only authorized members to store their data in the server and avoiding unnecessary storage space consumption.We obtain a formal definition of CL-BSE and formulate a specific scheme from the new system model.Then the security of the scheme is analyzed based on the formalized security model.The results demonstrate that the scheme achieves multikeyword ciphertext indistinguishability andmulti-keyword trapdoor privacy against any adversary simultaneously.In addition,performance evaluation shows that the new scheme has higher computational and communication efficiency by comparing it with some existing ones.

Electricity Carbon Quota Trading Scheme based on Certificateless Signature and Blockchain

The carbon tradingmarket can promote“carbon peaking”and“carbon neutrality”at low cost,but carbon emission quotas face attacks such as data forgery,tampering,counterfeiting,and replay in the electricity trading market.Certificateless signatures are a new cryptographic technology that can address traditional cryptography’s general essential certificate requirements and avoid the problem of crucial escrowbased on identity cryptography.However,most certificateless signatures still suffer fromvarious security flaws.We present a secure and efficient certificateless signing scheme by examining the security of existing certificateless signature schemes.To ensure the integrity and verifiability of electricity carbon quota trading,we propose an electricity carbon quota trading scheme based on a certificateless signature and blockchain.Our scheme utilizes certificateless signatures to ensure the validity and nonrepudiation of transactions and adopts blockchain technology to achieve immutability and traceability in electricity carbon quota transactions.In addition,validating electricity carbon quota transactions does not require time-consuming bilinear pairing operations.The results of the analysis indicate that our scheme meets existential unforgeability under adaptive selective message attacks,offers conditional identity privacy protection,resists replay attacks,and demonstrates high computing and communication performance.

0.05 T MRI for whole body

Recently,a study on a 0.05 T,low-cost,low-power,and computing-driven shielding-free ultra-low-field(ULF)magnetic resonance imaging(MRI)scannerwas published.This work enhances the image quality of MRI and reduces the scanning time based on deep learning methods,which is of great significance to enhancing the popularization and availability of MRI[1](https://www.science.org/doi/abs/10.1126/science.adm7168).

Research on the Influence of Anchor Attributes on Consumers’Online Behaviors in Social E-Commerce Platforms:The Moderating Effect of Platform Contextual Factors

As e-commerce continues to mature,the advantages of live streaming within the industry have become increasingly apparent,offering significant growth opportunities.Social e-commerce platforms,which are user-centered,integrate social networks with e-commerce by leveraging social interactions to drive product sales and enhance the overall consumer shopping experience.This type of e-commerce fosters engagement and promotes products by merging online communities with shopping behavior,creating a more interactive and dynamic marketplace.It not only retains the traditional e-commerce trading and marketing functions but also adds a social dimension,making live stream anchors crucial figures connecting consumers with products.These anchors can attract consumers with their appearance and charm,and use their expertise on live streaming platforms to guide consumers by recommending live content.They can also interact with their audiences and potentially influence them to purchase the recommended goods.It is evident that the attributes of anchors in live streaming rooms significantly impact consumers’online behavior.Therefore,researching how platform contextual factors regulate consumers’online behavior is of great practical significance.This study employs multilevel regression analysis to support its hypotheses using data.The findings indicate that contextual factors of the platform significantly influence online behavior,enhancing the positive relationship between user attachment and online activities.

Influence Characteristics of Laser Transmission Amplitude Fluctuation Based on Turbulent Medium

In order to study the transmission characteristics of laser in atmospheric turbulent medium and understand the influence degree of various factors on amplitude fluctuation, by means of smooth perturbation method, this paper establishes a theory model of amplitude fluctuation of laser propagation in turbulent medium by using the smooth perturbation method and reflects the amplitude fluctuation degree, carries out specific discussion on each influence factor. The results show that the larger the wavelength, the more stable the amplitude fluctuation. With the increase of laser section radius, the amplitude fluctuates sharply and then decreases slowly after reaching the peak. Transmission distance is the main influence factor of amplitude fluctuation. With the increase of transmission distance, the amplitude fluctuation will become more obvious. The amplitude acquisition can be comprehensively modulated in a specific transmission distance by wavelength and section ra-dius, so as to ensure the stability of the received laser and provide a theoretical basis for the interferometry technology.

亲子间的手机博弈:家庭关系对青少年心理健康的影响研究

本研究以生态系统理论、媒介时间置换假说为理论框架,探讨家庭关系质量是如何通过青少年手机使用强度,以及因手机使用产生的亲子冲突影响青少年心理健康水平的。实证结果显示:家庭关系质量负向影响青少年手机使用强度;青少年的手机使用强度正向影响因手机使用产生的亲子冲突频率。此外,因手机使用产生的亲子冲突不仅对青少年的自尊和生活满意度产生负向影响,且正向影响青少年的孤独感和抑郁程度。

AVIRIS高光谱数据空-谱特征在植被分类中的对比分析

植被分类是高光谱影像分类中的特定应用问题,光谱特征和空间特征是植被分类中常用的两类特征,比较这两类特征的性能,对实际植被分类应用中选择合适的特征类型或两者的有效结合具有指导意义。用主成分分析(PCA)提取光谱特征时,常选择前几个主成分(PCs)作为光谱特征,虽然它们包含较大的信息量但并不能保证较高的类别可分性和分类正确率,针对这一问题本研究提出了一种混合特征提取方法,对高光谱影像在PCA的基础上用改进的基于分散矩阵的特征选择方法选出具有较高类别可分性的PCs用于后续分类。利用一景AVIRIS高光谱植被影像,从分类精度的角度,首先比较了所提出的混合特征提取方法和原始PCA、独立主成分分析(ICA)及线性判别分析(LDA) 3种常用子空间特征提取方法在高光谱影像植被分类中的性能。试验结果表明所提出的混合特征提取方法在研究中数据集1和2上均获得了最高的总体分类正确率,分别为82.7%和86.5%。与原始PCA相比,本研究提出的混合特征提取方法的总体分类正确率,在数据集1和2上分别提高了1.5%和2.5%。由此阐明了所提出的混合特征提取方法在高光谱植被分类中的有效性。对光谱特征和空间特征在高光谱影像植被分类性能的比较中,总体上空间特征获得的分类正确率比光谱特征高,特别是Gabor特征,在两个数据集上均获得了最高的总体分类正确率分别为95.5%和96.7%。由此表明空间特征较光谱特征在高光谱影像植被分类中更具优势。本研究结果为后续改进空-谱特征方法及其两者有效结合,进一步提高植被分类正确率提供了参考。

西藏林芝地区野生食用菌重金属污染状况调查

目的了解西藏林芝地区野生食用菌中重金属的污染状况及分布特点。方法在林芝地区7个区县采集野生食用菌共7类204份蔬菜进行铅、镉、汞、砷的检测。结果林芝地区各类野生食用菌品种间不同程度受到镉、汞、砷的污染,其中镉为4.4%,汞超标率为4.9%,砷为6.4%,主要污染品种为獐子菌、松茸;镉平均含量较高的地区是察隅县,汞平均含量较高的地区是巴宜区和工布江达县;砷平均含量较高的地区是工布江达县。结论林芝地区野生食用菌中受到不同程度的重金属污染,应加强对重点区域重点品种的监测。

高温环境作用下T800碳纤维/AC631双马来酰亚胺复合材料的疲劳行为

在200℃高温环境下对多向铺层T800/AC631双马来酰亚胺复合材料进行了长时间暴露处理,测试了复合材料的质损率、动态力学性能和拉伸强度。根据拉伸强度确定疲劳应力水平,并测试了高温环境处理前后材料的疲劳性能。采用宏观目视和超声C扫描对复合材料疲劳损伤状况进行了表征和分析。结果表明,随着高温环境处理时间的延长,复合材料的质损率先迅速增加再缓慢增加。复合材料动态力学性能的变化归因于高温环境处理后的复合材料发生了一定程度的后固化、物理老化和界面局部脱粘。高温环境处理1000 h后,复合材料出现了轻微损伤,其疲劳寿命与原始态相比明显下降。复合材料的疲劳破坏模式主要为纤维断裂和铺层分层开裂。经历高温环境处理的T800/AC631复合材料的刚度明显下降,迟滞回能环轴线斜率和面积减少,表明复合材料出现了明显的高温老化损伤。

2010年-2015年SEER数据库肺腺鳞癌患者临床特征及预后分析

背景与目的肺癌发病率和死亡率均位居所有恶性肿瘤的第一,严重影响人类健康。非小细胞肺癌(non-small cell lung cancer,NSCLC)中常见病理类型为腺癌和鳞癌,临床研究和关注较多,而肺腺鳞癌是一种较为罕见的肺癌病理类型,其临床特征及预后相关因素尚未完全明确。本研究即对肺腺鳞癌的临床特征及预后进行分析,并构建了列线图来预测患者的预后。方法我们纳入了2010年-2015年美国SEER(Surveillance,Epidemiology,and End Results)数据库中的肺腺鳞癌数据,与同期的肺腺癌和肺鳞癌的临床特征和预后进行了比较。随后我们采用单因素和多因素分析研究了肺腺鳞癌患者预后的独立相关因素,以此构建了列线图并进行了验证。结果我们一共入组了肺腺鳞癌患者1,453例。与同期的肺腺癌和肺鳞癌患者相比较,肺腺鳞癌患者在大多数变量中的分布情况均介于肺腺癌和鳞癌之间,其预后也优于肺鳞癌但差于肺腺癌患者。多因素分析发现,年龄、分化程度、肿瘤-淋巴结-转移(tumor-node-metastasis,TNM)、手术和化疗是患者预后的独立影响因素(P均<0.001)。我们以此构建了列线图,其C-index为0.783(0.767-0.799),区分度检验和一致性检验均表明这一列线图可以有效地预测患者预后。结论肺腺鳞癌具有独特的临床病理和预后特征。年龄、分化、T、N、M、手术和化疗状况是肺腺鳞癌患者预后的独立预测因素。我们以此构建的列线图可以较好地预测患者预后。

Influence of soil microorganisms and physicochemical properties on plant diversity in an arid desert of Western China

Soil microorganisms and physicochemical properties are considered the two most influencing factors for maintaining plant diversity.However,the operational mechanisms and which factor is the most influential manipulator remain poorly understood.In this study,we examine the collaborative influences of soil physicochemical properties(i.e.,soil water,soil organic matter(SOM),salinity,total phosphorus and nitrogen,pH,soil bulk density and fine root biomass)and soil microorganisms(fungi and bacteria)on plant diversity across two types of tree patches dominated by big and small trees(big trees:height≥7 m and DBH≥60 cm;small trees:height≤4.5 m and DBH≤20 cm)in an arid desert region.Tree patch is consists of a single tree or group of trees and their accompanying shrubs and herbs.It was hypothesized that soil physicochemical properties and microorganisms affect plant diversity but their influence differ.The results show that plant and soil microbial diversity increased with increasing distances from big trees.SOM,salinity,fine root biomass,soil water,total phosphorus and total nitrogen contents decreased with increasing distance from big trees,while pH and soil bulk density did not change.Plant and soil microbial diversity were higher in areas close to big trees compared with small trees,whereas soil physicochemical properties were opposite.The average contribution of soil physicochemical properties(12.2%-13.5%)to plant diversity was higher than microbial diversity(4.8%-6.7%).Salinity had the largest negative affect on plant diversity(24.7%-27.4%).This study suggests that soil fungi constrain plant diversity while bacteria improve it in tree patches.Soil physicochemical properties are the most important factor modulating plant diversity in arid desert tree patches.

Dynamic analysis of a rotating tapered cantilever Timoshenko beam based on the power series method

The mathematical modeling of a rotating tapered Timoshenko beam with preset and pre-twist angles is constructed. The partial differential equations governing the six degrees, i.e., three displacements in the axial, flapwise, and edgewise directions and three cross-sectional angles of torsion, flapwise bending, and edgewise bending, are obtained by the Euler angle descriptions. The power series method is then used to inves- tigate the natural frequencies and the corresponding complex mode functions. It is found that all the natural frequencies are increased by the centrifugal stiffening except the twist frequency, which is slightly decreased. The tapering ratio increases the first transverse, torsional, and axial frequencies, while decreases the second transverse frequency. Because of the pre-twist, all the directions are gyroscopically coupled with the phase differences among the six degrees.

Fe,N,S-doped porous carbon as oxygen reduction reaction catalyst in acidic medium with high activity and durability synthesized using CaCl_2 as template

Proton exchange membrane fuel cells suffer from the sluggish kinetics of the oxygen reduction reaction(ORR)and the high cost of Pt catalysts.In the present work,a high‐performance ORR catalystbased on Fe,N,S‐doped porous carbon(FeNS‐PC)was synthesized using melamine formaldehyderesin as C and N precursors,Fe(SCN)3as Fe and S precursors,and CaCl2as a template via a two‐stepheat treatment without a harsh template removal step.The results show that the catalyst treated at900℃(FeNS‐PC‐900)had a high surface area of775m2/g,a high mass activity of10.2A/g in anacidic medium,and excellent durability;the half‐wave potential decreased by only20mV after10000potential cycles.The FeNS‐PC‐900catalyst was used as the cathode in a proton exchangemembrane fuel cell and delivered a peak power density of0.49W/cm2.FeNS‐PC‐900therefore hasgood potential for use in practical applications.

Tunable low frequency band gaps and sound transmission loss of a lever-type metamaterial plate

A novel metamaterial plate with subwavelength lever-type resonators is proposed to obtain low frequency broadband band gaps and good sound insulation performance.The band structure is theoretically derived,and the validity of the theoretical method is verified by the finite element method.The formation mechanisms of the band gaps are illustrated by the analysis of the effective dynamic mass density and group velocity.The effect of the lever ratio on the band gaps is analyzed.The results indicate that as the lever ratio increases,the first band gap shifts to lower frequencies,while the bandwidth is widened.Moreover,the sound insulation performance of the proposed metamaterial plate is evaluated via examining the sound transmission loss(STL).Compared with the metamaterial plates without lever accessories,the proposed metamaterial plates with a suitable lever ratio have better sound insulation performance at low frequencies.

TNF-α,IL-6 and hs CRP in patients with melancholic,atypical and anxious depression:an antibodyyarrayanalysis related to somatic symptoms

Background The association between inflammation and major depressive disorder(MDD)remains poorly understood,given the heterogeneity of patients with MDD.Aims We investigated inflammatory markers,such as interleukin(IL)-6,high-sensitivity C reactive protein(hsCRP)and tumour necrosis factor-α.(TNF-α)in melancholic,atypical and anxious depression and explored whether baseline inflammatory protein levels could indicate prognosis.Methods The sample consisted of participants(aged 18-55 years)from a previously reported multicentre randomised controlled trial with a parallel-group design registered with ClinicalTrials.gov,including melancholic(n=44),atypical(n=37)and anxious(n=44)patients with depression and healthy controls(HCs)(n=33).Subtypes of MDD were classified according to the 30-item Inventory of Depressive Symptomatology,Self-Rated Version and the.17-item Hamilton Depression Rating Scale.Blood levels.of TNF-α,IL-6 and hsCRP were assessed using antibody array analysis.Results Patients with MDD,classified according to melancholic,atypical and anxious depression subtypes,and HCs did not differ significantly in baseline TNF-α,IL-6 and hsCRP levels after adjustment.In patients with anxious depression,hsCRP levels increased significantly if they experienced no pain(adjusted(adj.)p=0.010)or mild to moderate pain(adj.p=0.038)compared with those with severe pain.However,the patients with anxious depression and severe pain showed a lower trend in hsCRP levels than patients with atypical depression who experienced severe pain(p=0.022;adj.p=0.155).Baseline TNF-α(adj.p=0.038)and IL-6(adj.p=0.006)levels in patients in remission were significantly lower than those in patients with no remission among the participants with the atypical depression subtype at the eighth-week follow-up.Conclusions This study provides evidence of differences in inflammatory proteins in patients with varied symptoms among melancholic,atypical and anxious depression subtypes.Further studies on the immunoinflammatory mechanism underlying different subtypes of depression are expected for improved individualised therapy.

Small-scale alpine topography at low latitudes and high altitudes:refuge areas of the genus Chrysanthemum and its allies

Cultivated chrysanthemum(Chrysanthemum morifolium Ramat.)is an economically important ornamental plant species grown worldwide.However,the origin of the genus Chrysanthemum remains unclear.This study was conducted in the Hengduan Mountains,Yunnan Province.We took advantage of a special geographic region where the southernmost species of Ajania and the highest altitude population of Chrysanthemum indicum coexist to investigate their evolutionary origins.Diversity analysis of 9 populations of 5 species that came from 3 genera was carried out based on morphological traits and SRAP markers.Furthermore,topographical and ecological analyses and surveys of the vegetation communities in the plots were carried out for correlation analysis,and past data were used to reconstruct the ancient topography and vegetation to estimate the migration path and divergence time.We found that Chrysanthemum and Ajania were closely related based on the smooth transition states among marginal female florets and their common pollination system.The genetic relationship between Phaeostigma and Chrysanthemum was relatively distant,and Ajania was between them.Low light intensity and relatively humid habitats may be driving the elongation and evolution of marginal female florets.We found that Chrysanthemum and related genera were largely restricted to stony topographies at an altitude of~3000 m.a.s.l.and in specialized alpine coniferous(Pinus)and broadleaved(Quercus)mixed forest marginal communities.These stony topographies have become ecological islands of refuge for these species in the current interglacial period.The Hengduan Mountains play a key role in the evolution,divergence,and survival of Chrysanthemum and its allies.

Integrated device for multiscale series vibration reduction and energy harvesting

A multi-degree-of-freedom device is proposed,which can achieve efficient vibration reduction as the main objective and energy harvesting as the secondary purpose.The device comprises a multiscale nonlinear vibration absorber(NVA)and piezoelectric components.Energy conversion and energy measurement methods are used to evaluate the device performance from multiple perspectives.Research has shown that this device can efficiently transfer transient energy from the main structure and convert a portion of transient energy into electrical energy.Main resonance and higher-order resonance are the main reasons for efficient energy transfer.The device can maintain high vibration reduction performance even when the excitation amplitude changes over a large range.Compared with the single structures with and without precompression,the multiscale NVA-piezoelectric device offers significant vibration reduction advantages.In addition,there are significant differences in the parameter settings of the two substructures for vibration reduction and energy harvesting.

Dynamic analysis of a deployable/retractable damped cantilever beam

Deployable/retractable damped cantilever beams are a class of time-varying parametric structures which have attracted considerable research interest due to their many potential applications in the intelligent robot field and aerospace.In the present work,the dynamic characteristics of a deployable/retractable damped cantilever beam are investigated experimentally and theoretically.The time-varying damping,as a function of the beam length,is obtained by both the enveloped fitting method and the period decrement method.Furthermore,the governing equation of the deployable/retractable damped cantilever beam is derived by introducing the time-varying damping parameter,and the corresponding closed-form solution and vibration principles are investigated based on the averaged method.The theoretical predictions for transient dynamic responses are in good agreement with the experimental results.The dynamic mechanism analysis on time-varying damping offers flexible technology in mechanical and aerospace fields.

Establishment of organoid models based on a nested array chip for fast and reproducible drug testing in colorectal cancer therapy

The conventional microwell-based platform for construction of organoid models exhibits limitations in precision oncology applications because of low-speed growth and high variability. Here, we established organoid models on a nested array chip for fast and reproducible drug testing using 50% matrigel. First, we constructed mouse small intestinal and colonic organoid models. Compared with the conventional microwell-based platform, the mouse organoids on the chip showed accelerated growth and improved reproducibility due to the nested design of the chip. The design of the chip provides miniaturized and uniform shaping of the matrigel that allows the organoid to grow in a concentrated and controlled manner. Next, a patient-derived organoid(PDO) model from colorectal cancer tissues was successfully generated and characterized on the chip. Finally, the PDO models on the chip, from three patients, were implemented for high-throughput drug screening using nine treatment regimens. The drug sensitivity testing on the PDO models showed good quality control with a coefficient of variation under 10% and a Z’ factor of more than 0.7. More importantly, the drug responses on the chip recapitulate the heterogeneous response of individual patients, as well as showing a potential correlation with clinical outcomes. Therefore,the organoid model coupled with the nested array chip platform provides a fast and reproducible means for predicting drug responses to accelerate precise oncology.

An analysis of the characteristics of crustal magnetic anomaly in China based on CHAMP satellite data

Based on the observation data of CHAMP satellite from 2006 to 2009, a 2D crustal magnetic anomaly model in China is established to study the distribution characteristics of crustal magnetic anomaly. In this paper, the 2D anomaly model is derived from the Legendre polynomial expansion of harmonic term N =6-50. The result shows that many elaborate structures reflected in magnetic anomaly map well correspond to the geologic structures in China and its adjacent area. The magnetic anomaly at low satellite height behaves complexly, which is mainly caused by the magnetic disturbance of shallow rocks.In contrast, the magnetic field isolines at high satellite height are relatively sparse and only magnetic anomalies of deep crust are reflected. This fact implies that the 2D model of crustal magnetic anomaly provides an important method of the space prolongation of geomagnetic field, and is of theoretical and practice importance in geologic structure analysis and geophysical prospecting.