A Novel High-Efficiency Transaction Verification Scheme for Blockchain Systems

Blockchain can realize the reliable storage of a large amount of data that is chronologically related and verifiable within the system.This technology has been widely used and has developed rapidly in big data systems across various fields.An increasing number of users are participating in application systems that use blockchain as their underlying architecture.As the number of transactions and the capital involved in blockchain grow,ensuring information security becomes imperative.Addressing the verification of transactional information security and privacy has emerged as a critical challenge.Blockchain-based verification methods can effectively eliminate the need for centralized third-party organizations.However,the efficiency of nodes in storing and verifying blockchain data faces unprecedented challenges.To address this issue,this paper introduces an efficient verification scheme for transaction security.Initially,it presents a node evaluation module to estimate the activity level of user nodes participating in transactions,accompanied by a probabilistic analysis for all transactions.Subsequently,this paper optimizes the conventional transaction organization form,introduces a heterogeneous Merkle tree storage structure,and designs algorithms for constructing these heterogeneous trees.Theoretical analyses and simulation experiments conclusively demonstrate the superior performance of this scheme.When verifying the same number of transactions,the heterogeneous Merkle tree transmits less data and is more efficient than traditional methods.The findings indicate that the heterogeneous Merkle tree structure is suitable for various blockchain applications,including the Internet of Things.This scheme can markedly enhance the efficiency of information verification and bolster the security of distributed systems.

针刺在COVID-19治疗中的多效能特点与优势

COVID-19是威胁人类生命健康的重大疾病,其发病机制复杂且仍未完全阐明,临床多以支持治疗为主,缺乏特异性治疗方法。针刺治疗可抑制免疫炎性反应、神经炎症反应、氧化应激水平和下丘脑-垂体-肾上腺(HPA)轴活性,改善肺功能,缓解偏头痛、疲劳、焦虑和抑郁。然而,针刺疗法是否适合COVID-19患者相关症状的治疗仍有待研究。本文系统检索多个数据库,纳入相关研究性文献进行分析,归纳总结针刺治疗COVID-19相关症状、合并症的循证依据以及针刺治疗的机制,并对穴位和症状进行了复杂网络分析,以阐明针刺治疗COVID-19各系统相关症状的选穴规律。分析发现针刺主要通过抑制免疫炎性反应、调节肠道菌群、线粒体功能、氧化应激水平、心肌细胞凋亡、神经递质释放和HPA轴活性,改善COVID-19呼吸系统、消化系统、神经系统和精神心理障碍等相关症状,减轻心血管系统等基础疾病。针刺可以改善COVID-19的多种临床症状及合发症,但其作用机制复杂,仍需开展深入研究。

Detecting the backfill pipeline blockage and leakage through an LSTM-based deep learning model

Detecting a pipeline's abnormal status,which is typically a blockage and leakage accident,is important for the continuity and safety of mine backfill.The pipeline system for gravity-transport high-density backfill(GHB)is complex.Specifically designed,efficient,and accurate abnormal pipeline detection methods for GHB are rare.This work presents a long short-term memory-based deep learning(LSTM-DL)model for GHB pipeline blockage and leakage diagnosis.First,an industrial pipeline monitoring system was introduced using pressure and flow sensors.Second,blockage and leakage field experiments were designed to solve the problem of negative sample deficiency.The pipeline's statistical characteristics with different working statuses were analyzed to show their complexity.Third,the architecture of the LSTM-DL model was elaborated on and evaluated.Finally,the LSTM-DL model was compared with state-of-the-art(SOTA)learning algorithms.The results show that the backfilling cycle comprises multiple working phases and is intermittent.Although pressure and flow signals fluctuate stably in a normal cycle,their values are diverse in different cycles.Plugging causes a sudden change in interval signal features;leakage results in long variation duration and a wide fluctuation range.Among the SOTA models,the LSTM-DL model has the highest detection accuracy of98.31%for all states and the lowest misjudgment or false positive rate of 3.21%for blockage and leakage states.The proposed model can accurately recognize various pipeline statuses of complex GHB systems.

Benidipine-loaded nanoflower-likemagnesium silicate improves bone regeneration

Regeneration and reconstruction of bone tissue is always a challenge for clinicians due to the uncertainty of bone repair materials in terms of long-term and efficient effects on osteoblasts.Here,we propose a novel strategy combining benidipine,an antihypertensive drug and nanoparticles to synergistically promote the healing of bone defects.Loose and porous benidipine-loaded magnesium silicate nanoparticles were prepared and validated for their biosafety.The nanoparticles were efficiently taken up by preosteoblasts and uniformly distributed around the nucleus.After internalization into cells,the nanosystem is degraded by lysosomes,and the effect of promoting osteogenic differentiation is reflected by the continuous release of benidipine,silicon and magnesium ions.Our results clearly evaluated that the nanoflower-like magnesium silicate delivering benidipine tends to be more appropriate for the bone regeneration in preosteoblasts,indicating that it might be a potential approach in guiding bone repair in clinical applications.

A Storage Optimization Scheme for Blockchain Transaction Databases

As the typical peer-to-peer distributed networks, blockchain systemsrequire each node to copy a complete transaction database, so as to ensure newtransactions can by verified independently. In a blockchain system (e.g., bitcoinsystem), the node does not rely on any central organization, and every node keepsan entire copy of the transaction database. However, this feature determines thatthe size of blockchain transaction database is growing rapidly. Therefore, with thecontinuous system operations, the node memory also needs to be expanded tosupport the system running. Especially in the big data era, the increasing networktraffic will lead to faster transaction growth rate. This paper analyzes blockchaintransaction databases and proposes a storage optimization scheme. The proposedscheme divides blockchain transaction database into cold zone and hot zone usingexpiration recognition method based on Least Recently Used (LRU) algorithm. Itcan achieve storage optimization by moving unspent transaction outputs outsidethe in-memory transaction databases. We present the theoretical analysis on theoptimization method to validate the effectiveness. Extensive experiments showour proposed method outperforms the current mechanism for the blockchaintransaction databases.

Mechanism and effects of snow accumulations and controls by lightweight snow fences

This paper investigates the snowdrifts caused by lightweight fences along the lines on the flatland through the computational fluid dynamics method. The characteristic ambient flows around the solid fences and the porous fences with varied heights and bottom wind gaps are simulated in the numerical model, and the working mechanism of ＂interception＂ and ＂scouring＂ of the lightweight fences are analyzed. Based on the friction velocities near the ground, two sets of criteria are proposed to evaluate the deposition and erosion effects of different fences. According to flow separation and reattachment, the simplified relationships between the most likely positions for snow accumulations and fence parameters are devel- oped. The study indicates that the capabilities for snow interception by the solid fence without wind gap and the distance from which to the second snow coverage center both increase with the fence height. Furthermore, it is found that the scouring range for snow surface increases significantly with the size of wind gap, and the snow accumulation rate on the leeward side decreases with the increasing fence porosity.

Lipidomic and transcriptomic analysis reveals reallocation of carbon flux from cuticular wax into plastid membrane lipids in a glossy“Newhall”navel orange mutant

Both cuticle and membrane lipids play essential roles in quality maintenance and disease resistance in fresh fruits.Many reports have indicated the modification of alternative branch pathways in epicuticular wax mutants;however,the specific alterations concerning lipids have not been clarified thus far.Here,we conducted a comprehensive,timeresolved lipidomic,and transcriptomic analysis on the“Newhall”navel orange(WT)and its glossy mutant(MT)“Gannan No.1”.The results revealed severely suppressed wax formation accompanied by significantly elevated production of 36-carbon plastid lipids with increasing fruit maturation in MT.Transcriptomics analysis further identified a series of key functional enzymes and transcription factors putatively involved in the biosynthesis pathways of wax and membrane lipids.Moreover,the high accumulation of jasmonic acid(JA)in MT was possibly due to the need to maintain plastid lipid homeostasis,as the expression levels of two significantly upregulated lipases(CsDAD1 and CsDALL2)were positively correlated with plastid lipids and characterized to hydrolyze plastid lipids to increase the JA content.Our results will provide new insights into the molecular mechanisms underlying the natural variation of plant lipids to lay a foundation for the quality improvement of citrus fruit.

Highly dispersed nickel boosts catalysis by Cu/SiO_(2) in the hydrogenation of CO_(2)-derived ethylene carbonate to methanol and ethylene glycol

The efficient hydrogenation of CO_(2)-derived ethylene carbonate(EC)to yield methanol(MeOH)and ethylene glycol(EG)is a key process for indirect conversion of CO_(2)to MeOH.However,a high H_(2)/EC molar ratio during the hydrogenation process(usually as 180-300)is generally required to achieve good catalytic performance,resulting in high cost and energy consumption for H_(2)circulation in the promising industrial application.Here,we prepared a series of Ni-modified Cu/SiO_(2)catalysts and explored the effects of synthesis methods and Ni contents on catalytic performance under different H_(2)/EC molar ratios.The Cu/SiO_(2)catalyst with 0.2%(mass)Ni loading prepared by co-ammonia evaporation method exhibited above 99%conversion of EC,91%and 98%selectivity to MeOH and EG respectively at H_(2)/EC ratio of 60.And no significant deactivation was observed within 140 h at a lower H_(2)/EC of 40.It is demonstrated that a few of Ni addition could not only promote Cu dispersion and increase surface Cu^(+) species due to the strong interaction between Cu and Ni species,but also form uniformly-dispersed CuNi alloy species and thus enhance the adsorption and dissociation of H_(2).But the excess Ni species would aggregate and segregate to cover partial surface of Cu nanoparticles,leading to a significantly drop of catalytic performance in EC hydrogenation.These insights may provide guidance for further design of catalysts for the ester hydrogenation reactions.

Reservoir prediction using multi-wave seismic attributes

The main problems in seismic attribute technology are the redundancy of data and the uncertainty of attributes, and these problems become much more serious in multi-wave seismic exploration. Data redundancy will increase the burden on interpreters, occupy large computer memory, take much more computing time, conceal the effective information, and especially cause the ＂curse of dimension＂. Uncertainty of attributes will reduce the accuracy of rebuilding the relationship between attributes and geological significance. In order to solve these problems, we study methods of principal component analysis （PCA）, independent component analysis （ICA） for attribute optimization and support vector machine （SVM） for reservoir prediction. We propose a flow chart of multi-wave seismic attribute process and further apply it to multi-wave seismic reservoir prediction. The processing results of real seismic data demonstrate that reservoir prediction based on combination of PP- and PS-wave attributes, compared with that based on traditional PP-wave attributes, can improve the prediction accuracy.

Effects of solar radiation modification on the ocean carbon cycle:An earth system modeling study

Solar radiation modification(SRM,also termed as geoengineering)has been proposed as a potential option to counteract anthropogenic warming.The underlying idea of SRM is to reduce the amount of sunlight reaching the atmosphere and surface,thus offsetting some amount of global warming.Here,the authors use an Earth system model to investigate the impact of SRM on the global carbon cycle and ocean biogeochemistry.The authors simulate the temporal evolution of global climate and the carbon cycle from the pre-industrial period to the end of this century under three scenarios:the RCP4.5 CO_(2) emission pathway,the RCP8.5 CO_(2) emission pathway,and the RCP8.5 CO_(2) emission pathway with the implementation of SRM to maintain the global mean surface temperature at the level of RCP4.5.The simulations show that SRM,by altering global climate,also affects the global carbon cycle.Compared to the RCP8.5 simulation without SRM,by the year 2100,SRM reduces atmospheric CO_(2) by 65 ppm mainly as a result of increased CO_(2) uptake by the terrestrial biosphere.However,SRM-induced change in atmospheric CO_(2) and climate has a small effect in mitigating ocean acidification.By the year 2100,relative to RCP8.5,SRM causes a decrease in surface ocean hydrogen ion concentration([H^(+)])by 6% and attenuates the seasonal amplitude of[H^(+)]by about 10%.The simulations also show that SRM has a small effect on globally integrated ocean net primary productivity relative to the high-CO_(2) simulation without SRM.This study contributes to a comprehensive assessment of the effects of SRM on both the physical climate and the global carbon cycle.

Enhancing the cycling stability of Na-ion batteries by bonding MoS2 on assembled carbon-based materials

Room temperature Na-ion batteries(SIBs) show great potential for use as renewable energy storage systems.However, the large-scale application of SIBs has been hindered by the lack of an ideal SIBs anode material. We synthesized MoS2 on carbonized graphene-chitosan(G-C) using the hydrothermal method. The strong interaction between the MoS2 and the G-C greatly improved the electron transport rate and maintained the structural stability of the electrode, which lead to both an excellent rate capability and long cycle stability. The G-C monolith was proven to enhance the electrical conductivity of the composites and served as a matrix for uniformly dispersing active MoS2 nanosheets(NSs), as well as being a buffer material to adapt to changes in volume during the cycle.Serving as an anode material for SIBs, the MoS2-G-C electrode showed good cycling stability(527.3mAh g-1 at100 m A g-1 after 200 cycles), excellent rate capability, and a long cycle life(439.1 m Ah g-1 at 1 A g-1 after 200 cycles).

Intravenous injection of AAV-PHP.eB across the blood-brain barrier in the adult mouse for central nervous system gene therapy

Objective To verify the neurotypicality of AAV-PHP.eB after tail vein injection in adult mice and its efficiency in crossing the blood-brain barrier(BBB).Methods The rAAV-SYN-GFP plasmid was constructed, and adult C57 BL mice were injected with AAV PHP.eB: SYN-GFP in the tail vein(300 nL, virus titer 3 × 10~9 vg) and in the prefrontal lobe(50 L, virus tite5 × 10^(11) vg). The green fluorescent protein(GFP) signal in the brain was observed at two weeks, while the GFP signal in the peripheral organs was observed at four weeks. Results Two weeks after tail vein injection, GFP expression was observed throughout the brain especially in the cortex, hippocampus, and geniculate nucleus. No GFP signal was observed or detected by western blotting in the peripheral organs after four weeks. GFP signal was observed mainly at the loca site after prefrontal lobe injection.Conclusion AAV-PHP.eB: SYN-GFP can effectively cross the BBB in adult mice. Using a neuron-specific promoter allows exogenous gene expression in neurons; therefore, AAV-PHP.eB can be used as an effective carrier for studying diseases in the central nervous system(CNS).

Clustering and Differentiation of glr-3 Gene Function and Its Homologous Proteins

In order to adapt to the low temperature environment,organisms transmit excitement to the central system through the thermal sensing system,which is a classic reflex reaction.The cold receptor GLR-3 perceives cold and pro­duces cold avoidance behavior through peripheral sensory neurons ASER.In order to further understand the gene encoding of the cold sensing glr-3 gene and the evolution of its homologous gene group function and protein function,the nucleotide sequence and amino acid sequence of the glr-3 gene and its homologous gene in 24 species were obtained and compared.By clustering with the GRIK2 gene sequence of Rana chensinensis,the bio­informatics method was used to predict and sequence analyze the change of gene,evolution rate,physical and chemical properties of protein,glycosyla­tion sites,phosphorylation sites,secondary structure and tertiary structure of protein.The analysis results show that the glr-3 gene and its homologous gene have obvious positive selection effect.The protein prediction analysis showed that the glr-3 gene and its homologous genes encoded proteins in these 25 species were hydrophilic proteins,and the proportion of side chains of aliphatic amino acids was high.The transmembrane helix was widespread and there were more N-glycosylation sites and O-glycosylation sites.The protein phosphorylation sites encoded were serine,threonine and tyrosine phosphorylation sites.Secondary structure prediction showed that the secondary structure units of the encoded protein wereα-helix,β-turn,random coil and extended chain,and the proportion ofα-helix was the larg­est.This study provides useful information on the evolution and function of the cold sensing gene glr-3 and its homologous genes.

The immunoreactivity of Cra a 4 decreased after Maillard reaction with xylose and glucose

Cra a 4 is a heat stable allergen in oyster,the effect of Maillard reaction on the immunoreactivity and structure of Cra a 4 was investigated.Firstly,Cra a 4 was cloned,expressed and identified.The purified Cra a 4 was incubated with xylose at 100℃,pH 8.5 for 30 min or with glucose for 60 min.After Maillard reaction,the IgE-binding activity of Cra a 4 and in vitro digested samples was reduced by about 50%.The unfoldα-helix and higher surface hydrophobicity of glycated Cra a 4 were identified as the reason for hypo-immunoreactivity.The higher frequency of lysine(13%)in the primary structure and exposure on the surface of the spatial structure was attributed to the hypo-immunoreactivity of Cra a 4 after Maillard reaction.It comprehensively evaluated the effects of Maillard reaction on Cra a 4 and provids new methods for the industrial production of hypoallergenic oyster.The modified Cra a 4 by Maillard reaction could be a hypoallergenic therapeutic agent for allergy to oyster.

Extraction of Eugenol from Essential Oils by In Situ Formation of Deep Eutectic Solvents:A Green Recyclable Process

Eugenol is extensively utilized in chemical industry.In actual production,it is mainly separated from clove essential oils(EOs)through acid-base solutions.In this work,a simple,rapid and effective extraction process was developed for the extraction of eugenol from EOs samples by directly forming deep eutectic solvents(DESs)without using acid-base solutions.The proposed process is designed to dissolve EOs in n-hexane and eugenol was highly selective extracted into DESs with tetrabutylammonium chloride(TBAC).Hydrogen bonds in DESs can be broken by addition of water,resulting in a separation of the two phases,thus obtaining a hydrophobic yellowish eugenol in the upper layer.The quaternary ammonium salt in the lower aqueous solution can be reused after recovery.The most determining influence factors such as the structure of quaternary ammonium salt,the mole ratio of quaternary ammonium salt to eugenol and the amount of n-hexane were investigated.The forming conditions of DESs were studied by Box-Behnken design(BBD).Experiment was carried out under the optimal conditions and good experimental result was demonstrated by the developed process,a high extraction recovery of 92.51% and the purity was about 98.50%,which verifies the excellent performance for the proposed process.

Trends and hotspots concerning lupus retinopathy from 2003 to 2022:a bibliometric analysis and knowledge graph study

Purpose:To explore the status of current global research,trends and hotspots in the field of lupus retinopathy(LR).Methods:Publications related to LR from 2003 to 2022 were extracted from the Web of Science Core Collection(WOSCC).Citespace 6.2.R4 software was used to analyze the raw data.Bibliometric parameters such as publication quality,countries,authors,international cooperation,and keywords were taken into account.Results:A total of 315 publications were retrieved.The annual research output has increased significantly since 2010,especially since 2017.Marmor MF,Lee BR,and Melles RB contributed the highest number of articles published on LR.The top three publishing countries were the USA,China,and UK.Stanford University,Hanyang University,and Harvard Medical School were the top three producing institutions in the world for LR research.The top ten commonly used keywords include the following:systemic lupus erythematosus,retinopathy,retinal toxicity,antimalarial,hydroxychloroquine,optical coherence tomography,antiphospholipid syndrome,microvascular,optic neuritis,optical coherence tomography angiography.The keywords"optical coherence tomography angiography"and"vessel density"have exploded in recent years.Conclusion:By analyzing the current body of LR literature,specific global trends and hotspots for LR research were identified,presenting valuable information to track cutting-edge progress and for future cooperation between various authors and institutions.

饲草作物基础生物学与生物育种

饲草作物在保障国家大粮食安全的重要性日渐突出,饲草产业的健康发展迫切需要系统布局饲草作物基础生物学研究和生物育种科技战略。本文综述了主要饲草作物的种类和生物学特性、基因组学和主要性状功能基因研究进展,分析了以设计“理想饲草”为目标的饲草生物育种需要深度解析饲草特化生物学性状形成的分子基础,饲草驯化性状的分子调控,并借鉴粮食作物驯化研究的前沿进展实现饲草作物的从头快速驯化。建议发挥我国在饲草基因组学和基因编辑等方面的领先优势,大力发展大数据、人工智能驱动的新技术和新理论,引领饲草作物基础生物学与生物育种领域的突破。

Interspecific plant interaction via root exudates structures the disease suppressiveness of rhizosphere microbiomes

Terrestrial plants can affect the growth and health of adjacent plants via interspecific interaction.Here,we studied the mechanism by which plant root exudates affect the recruitment of the rhizosphere microbiome in adjacent plants—with implications for plant protection—using a tomato(Solanum lycopersicum)–potatoonion(Allium cepa var.agrogatum)intercropping system.First,we showed that the intercropping system results in a disease-suppressive rhizosphere microbiome that protects tomato plants against Verticillium wilt disease caused by the soilborne pathogen Verticillium dahliae.Second,16S rRNA gene sequencing revealed that intercropping with potatoonion altered the composition of the tomato rhizosphere microbiome by promoting the colonization of specific Bacillus sp.This taxon was isolated and shown to inhibit V.dahliae growth and induce systemic resistance in tomato plants.Third,a belowground segregation experiment found that root exudates mediated the interspecific interaction between potatoonion and tomato.Moreover,experiments using split-root tomato plants found that root exudates from potatoonion,especially taxifolin—a flavonoid compound—stimulate tomato plants to recruit plant-beneficial bacteria,such as Bacillus sp.Lastly,ultra-high-pressure liquid chromatography–mass spectrometry analysis found that taxifolin alters tomato root exudate chemistry;thus,this compound acts indirectly in modulating root colonization by Bacillus sp.Our results revealed that this intercropping system can improve tomato plant fitness by changing rhizosphere microbiome recruitment via the use of signaling chemicals released by root exudates of potatoonion.This study revealed a novel mechanism by which interspecific plant interaction modulates the establishment of a disease-suppressive microbiome,thus opening up new avenues of research for precision plant microbiome manipulations.

Responsive switchable deep eutectic solvents:A review

Deep eutectic solvents(DESs)have drawn considerable attention as a new type of green solvent since they were reported.Subsequent studies have shown that DESs have the potential to be used as“designable”solvents,which means that the precursors of DESs with different structures and properties can be screened to customize DESs for specific functions.Researchers have found that during the sample preparation process involving DESs,the specific properties of some“smart”DESs can be switched by directing external driving forces,leading to a reversible phase transition of the target solution.These"smart"DESs are called switchable deep eutectic solvents(SDESs).The advent of SDES simplifies the sample pretreatment steps,reduces the use of organic solvents,and makes solvents easy to recycle,which matches the concept of green and sustainable chemistry.Compared with the number of previous experimental studies,the reviews and summaries on SDESs are rare.Therefore,this review made a summary of the concept and research progress of SDESs based on some related works in the past decade,including composition and type,characterization,switching mechanism,etc.It is expected to provide a certain reference and guidance for the subsequent in-depth research of SDESs in the analytical sample pretreatment.

床旁徒手盲插鼻空肠营养管治疗食管狭窄1例

患者男,85岁,因“意识不清1 h”于2015年5月1日入住空军特色医学中心呼吸科老年病区。患者于入院前1 h突发意识不清,头颅CT提示脑干梗死。既往1988年患脑出血,遗留右侧肢体偏瘫。1995年患多发腔隙性脑梗死,2007年再发脑梗死,遗留言语不利。高血压、冠心病史20余年。诊断急性脑梗死,经脱水、降颅压、营养神经、活血醒脑等治疗,生命体征稳定,呈植物人状态.