Predicting microseismic,acoustic emission and electromagnetic radiation data using neural networks

Microseism,acoustic emission and electromagnetic radiation(M-A-E)data are usually used for predicting rockburst hazards.However,it is a great challenge to realize the prediction of M-A-E data.In this study,with the aid of a deep learning algorithm,a new method for the prediction of M-A-E data is proposed.In this method,an M-A-E data prediction model is built based on a variety of neural networks after analyzing numerous M-A-E data,and then the M-A-E data can be predicted.The predicted results are highly correlated with the real data collected in the field.Through field verification,the deep learning-based prediction method of M-A-E data provides quantitative prediction data for rockburst monitoring.

Revealing the specific role of sulfide and nano-alumina in composite solid-state electrolytes for performance-reinforced ether-nitrile copolymers

Composite solid-state electrolytes represent a critical pathway that balances the interface compatibility and lithium-ion conductivity in all-solid-state batteries.The quest for stable and highly ion-conductive combinations between polymers and fillers is vital,but blind attempts are often made due to a lack of understanding of the mechanisms involved in the interaction between polymers and fillers.Herein,we employ in-situ polymerization to prepare a polymer based on an ether-nitrile copolymer with high cathode stability as the foundation and discuss the performance enhancement mechanisms of argyrodite and nano-alumina.With 1%content of sulfide interacting with the polymer at the two-phase interface,the local enhancement of lithium-ion migration capability can be achieved,avoiding the reduction in capacity due to the low ion conductivity of the passivation layer during cycling.The capacity retention after 50cycles at 0.5 C increases from 83.5%to 94.4%.Nano-alumina,through anchoring the anions and interface inhibition functions,eventually poses an initial discharge capacity of 136.8 m A h g^(-1)at 0.5 C and extends the cycling time to 1000 h without short-circuiting in lithium metal batteries.Through the combined action of dual fillers on the composite solid-state electrolyte,promising insights are provided for future material design.

Associations of daily sedentary behavior,physical activity,and sleep with irritable bowel syndrome:A prospective analysis of 362,193 participants

Background:Irritable bowel syndrome(IBS)substantially affects quality of life and requires early prevention.This study aimed to elucidate the relationships between IBS and daily behaviors,including sedentary behavior(SB),physical activity(PA),and sleep.In particular,it seeks to identify healthy behaviors to reduce IBS risk,which previous studies have rarely addressed.Methods:Daily behaviors were retrieved from self-reported data of 362,193 eligible UK Biobank participants.Incident cases were determined by self-report or health care data according to RomeⅣcriteria.Results:A total of 345,388 participants were IBS-free at baseline,during a median follow-up of 8.45 years,19,885 incident IBS cases were recorded.When examined individually,SB and shorter(≤7 h/day)or longer(>7 h/day)sleep duration were each positively associated with increased IBS risk,and PA was associated with lower IBS risk.The isotemporal substitution model suggested that replacing SB with other activities could provide further protective effects against IBS risk.Among people sleeping≤7 h/day,replacing 1 h of SB with equivalent light PA,vigorous PA,or sleep was associated with 8.1%(95%confidence interval(95%CI):0.901-0.937),5.8%(95%CI:0.896-0.991),and 9.2%(95%CI:0.885-0.932)reduced IBS risk,respectively.For people sleeping>7 h/day,light and vigorous PA were associated with a 4.8%(95%CI:0.926-0.978)and a 12.0%(95%CI:0.815-0.949)lower IBS risk,respectively.These benefits were mostly independent of genetic risk for IBS.Conclusion:SB and unhealthy sleep duration are risk factors for IBS.A promising way to mitigate IBS risk for individuals sleeping≤7 h/day and for those sleeping>7 h/day appears to be by replacing SB with adequate sleep or vigorous PA,respectively,regardless of the genetic predisposition of IBS.

Numerical studies for plasmas of a linear plasma device HIT-PSI with geometry modified SOLPS-ITER

The HIT-PSI is a linear plasma device built for physically simulating the high heat flux environment of future reactor divertors to test/develop advanced target plate materials.In this study,the geometry-modified SOLPS-ITER program is employed to examine the effects of the magnetic field strength and neutral pressure in the device on the heat flux experienced by the target plate of the HIT-PSI device.The findings of the numerical simulation indicate a positive correlation between the magnetic field strength and the heat flux density.Conversely,there is a negative correlation observed between the heat flux density and the neutral pressure.When the magnetic field strength at the axis exceeds 1 tesla and the neutral pressure falls below 10 Pa,the HIT-PSI has the capability to attain a heat flux of 10 MW·m-2 at the target plate.The simulation results offer a valuable point of reference for subsequent experiments at HIT-PSI.

Feedback linearization and equivalent-disturbance compensation control strategy for piezoelectric stage

Piezoelectric stages use piezoelectric actuators and flexure hinges as driving and amplifying mechanisms,respectively.These systems have high positioning accuracy and high-frequency responses,and they are widely used in various precision/ultra-precision positioning fields.However,the main challenge with these devices is the inherent hysteresis nonlinearity of piezoelectric actuators,which seriously affects the tracking accuracy of a piezoelectric stage.Inspired by this challenge,in this work,we developed a Hammerstein model to describe the hysteresis nonlinearity of a piezoelectric stage.In particular,in our proposed scheme,a feedback-linearization algorithm is used to eliminate the static hysteresis nonlinearity.In addition,a composite controller based on equivalent-disturbance compensation was designed to counteract model uncertainties and external disturbances.An analysis of the stability of a closed-loop system based on this feedback-linearization algorithm and composite controller was performed,and this was followed by extensive comparative experiments using a piezoelectric stage developed in the laboratory.The experimental results confirmed that the feedback-linearization algorithm and the composite controller offer improved linearization and trajectory-tracking performance.

RDH12-associated retinal degeneration caused by a homozygous pathogenic variant of 146C>T and literature review

AIM:To describe the clinical,electrophysiological,and genetic features of an unusual case with an RDH12 homozygous pathogenic variant and reviewed the characteristics of the patients reported with the same variant.METHODS:The patient underwent a complete ophthalmologic examination including best-corrected visual acuity,anterior segment and dilated fundus,visual field,spectral-domain optical coherence tomography(OCT)and electroretinogram(ERG).The retinal disease panel genes were sequenced through chip capture high-throughput sequencing and Sanger sequencing was used to confirm the result.Then we reviewed the characteristics of the patients reported with the same variant.RESULTS:A 30-year male presented with severe early retinal degeneration who complained night blindness,decreased visual acuity,vitreous floaters and amaurosis fugax.The best corrected vision was 0.04 OD and 0.12 OS,respectively.The fundus photo and OCT showed bilateral macular atrophy but larger areas of macular atrophy in the left eye.Autofluorescence shows bilateral symmetrical hypo-autofluorescence.ERG revealed that the amplitudes of a-and b-wave were severely decreased.Multifocal ERG showed decreased amplitudes in the local macular area.A homozygous missense variant c.146C>T(chr14:68191267)was found.The clinical characteristics of a total of 13 patients reported with the same pathologic variant varied.CONCLUSION:An unusual patient with a homozygous pathogenic variant in the c.146C>T of RDH12 which causes late-onset and asymmetric retinal degeneration are reported.The clinical manifestations of the patient with multimodal retinal imaging and functional examinations have enriched our understanding of this disease.

Natural variation of an autophagy-family gene among rice subspecies affects grain size and weight

Elucidating the genetic basis of natural variation in grain size and weight among rice varieties can help breeders develop high-yielding varieties.We identified a novel gene,GW3a(Grain Weight 3a)(LOC_Os03g27350),that affects rice grain size and weight.gw3a mutants showed higher total starch content and dry matter accumulation than the wild type(WT),Nipponbare,suggesting that GW3a negatively regulates grain size and weight.Moreover,our study found that GW3a interacted with OsATG8 by cleaving it,suggesting that GW3a may be involved in the assembly of autophagosomes and starch degradation in plants.The haplotype analysis of GW3a showed functional differences between indica and japonica rice.Taken together,we conclude that GW3a is expressed in the autophagosome pathway regulating starch metabolism in rice,affecting yield-related traits,such as grain size,grain weight and thousand grain weight(TGW).Our findings also shed new light on autophagy-mediated yield trait regulation,proposing a possible strategy for the genetic improvement of high-yield germplasm in rice.

New recessive compound heterozygous variants of RP1L1 in RP1L1 maculopathy

AIM:To identify a maculopathy patient caused by new recessive compound heterozygous variants in RP1L1.METHODS:Comprehensive retinal morphological and functional examinations were evaluated for the patient with RP1L1 maculopathy.Targeted sequence capture array technique was used to screen potential pathologic variants.Polymerase chain reaction and Sanger sequencing were used to confirm the screening results.RESULTS:Fundus examination showed round macular lesions appeared in both eyes.Optical coherence tomography showed that the inner segment/outer segment continuity was disorganized and disruptive in the left eye,but it was uneven and slightly elevated in the right eye.Fundus autofluorescence showed patchy hyper-autofluorescence in the macula.Visual field examination indicates central defects in both eyes.Electroretinogram(ERG)and multifocal ERG showed no obvious abnormalities.Fundus fluorescein angiography in the macula showed obviously irregular hyper-fluorescence in the right eye and slightly hyper-fluorescence in the left eye.We found that the proband carried a missense variant(c.1972C>T)and a deletion variant(c.4717_4718del)of RP1L1,which were originated from the parents and formed compound heterozygous variants.Both variants are likely pathogenic according to the ACMG criteria.Multimodal imaging,ERG and detailed medical history are important diagnostic tools for differentiating between acquired and inherited retinal disorders.CONCLUSION:A maculopathy case with detailed retinal phenotype and new recessive compound heterozygous variants of RP1L1 is identified in a Chinese family,which expands the understanding of phenotype and genotype in RP1L1 maculopathy.

Treatment of stellate ganglion block in diseases:Its role and application prospect

The stellate ganglion(SG),as a type of sympathetic ganglion,consists of the sixth and seventh cervical vertebrae and the first thoracic sympathetic ganglia.SG block(SGB)is a minimally invasive injection that aims to inject low-concentration local anesthetics to induce a broad sympathetic blocking effect near the SG.There have been no changes and progress in the clinical application of SGB since the 1830s due to several potential risks,including hematoma from blood vessel injury,hoarseness from recurrent laryngeal nerve injury,and cardiopulmonary arrest.The feasibility and safety of SGB have greatly improved since the appearance of ultrasound-guided SGB.In recent years,SGB has been widely applied in the field of non-anesthesiology sedation,with significant therapeutic effects on pain,immunological diseases,somnipathy,psychological disorders,arrhythmias,and endocrine diseases.The present study reviews the present application of SGB in clinical practice.

Diverse transformations of sulfur in seabird-affected sediments revealed by microbial and stable isotope analyses

Microbial communities,sulfur isotope of sulfides(δ^(34)S_(AVS)and δ^(34)S_(CRS)),and sulfur and oxygen isotopes of sulfate(δ^(34)S_(SO_(4))and δ^(18)O_(SO_(4)))in sediments were analyzed to reveal the biogeochemical transformations of sulfur in a seabird-affected lake Y2 and a se abird-free YO from Fildes Peninsula,Antarctic Peninsula.The microbial communities in Y2 were mainly associated with penguin activities,while those in YO were limited by nutrients.The much enriched δ^(34)S_(SO_(4))recorded at depth of 30,41,and 52 cm in Y2indicates very strong sulfate reduction therein.The sulfur-degrading bacteria Pseudomonas in 0-23 cm of Y2 was 3.5 time s as abundant as that of sulfur oxidizing bacteria(SOB),indicating remarkable remineralization of organic sulfur.The abundant SOB and ^(34)S-depleted sulfate indicate considerable sulfur oxidation in 34-56-cm layer in Y2.In YO sediments,the highest abundance of Desulfotalea and the most enriched δ^(34)S_(SO_(4))(35.2‰)and δ^(34)S_(CRS)(2.5‰)indicate the strongest sulfate reduction in 28-cm layer.High abundance of Pseudomonas indicates active remineralization of organic sulfur in 3-5-cm layer in YO.The medium δ^(34)S_(SO_(4))and considerable abundance of SOB and sulfate-reducing bacteria(SRB)indicate concurrence of sulfur oxidation and sulfate reduction in other layers in YO.Therefore,a high level of organic matter input from penguin populations supported the diverse microbial community and transformations of sulfur in aquatic ecosystems in Antarctica.

Experimental investigation on the cuttings formation process and its relationship with cutting force in single PDC cutter tests

The single polycrystalline diamond compact(PDC)cutter test is widely used to investigate the mecha-nism of rock-breaking.The generated cuttings and cutting force are important indexes reflecting the rock failure process.However,they were treated as two separate parameters in previous publications.In this study,through a series of rock block cutting tests,the relationship between them was investigated to obtain an in-depth understanding of the formation of cuttings.In addition,to validate the standpoints obtained in the aforementioned experiments,rock sheet cutting tests were conducted and the rock failure process was monitored by a high-speed camera frame by frame.The cutting force was recorded with the same sampling rate as the camera.By this design,every sampled point of cutting force can match a picture captured by the camera,which reflects the interaction between the rock and the cutter.The results indicate that the increase in cutting depth results in a transition of rock failure modes.At shallow cutting depth,ductile failure dominates and all the cuttings are produced by the compression of the cutter.The corresponding cutting force fluctuates slightly.However,beyond the critical depth,brittle failure occurs and chunk-like cuttings appear,which leads to a sharp decrease in cutting force.After that,the generation of new surface results in a significant decrease in actual cutting depth,a parameter proposed to reflect the interaction between the rock and the cutter.Consequently,ductile failure dominates again and a slight fluctuation of cutting force can be detected.As the cutter moves to the rock,the actual cutting depth gradually increases,which results in the subsequent generation of chunk-like cuttings.It is accompanied by an obvious cutting force drop.That is,ductile failure and brittle failure,one following another,present at large cutting depth.The transition of rock failure mode can be correlated with the variation of cutting force.Based on the results of this paper,the real-time monitoring of torque may be helpful to determine the efficiency of PDc bits in the downhole.

SBFT:A BFT Consensus Mechanism Based on DQN Algorithm for Industrial Internet of Thing

With the development and widespread use of blockchain in recent years,many projects have introduced blockchain technology to solve the growing security issues of the Industrial Internet of Things(IIoT).However,due to the conflict between the operational performance and security of the blockchain system and the compatibility issues with a large number of IIoT devices running together,the mainstream blockchain system cannot be applied to IIoT scenarios.In order to solve these problems,this paper proposes SBFT(Speculative Byzantine Consensus Protocol),a flexible and scalable blockchain consensus mechanism for the Industrial Internet of Things.SBFT has a consensus process based on speculation,improving the throughput and consensus speed of blockchain systems and reducing communication overhead.In order to improve the compatibility and scalability of the blockchain system,we select some nodes to participate in the consensus,and these nodes have better performance in the network.Since multiple properties determine node performance,we abstract the node selection problem as a joint optimization problem and use Dueling Deep Q Learning(DQL)to solve it.Finally,we evaluate the performance of the scheme through simulation,and the simulation results prove the superiority of our scheme.

Natural products and extracts from plants as natural UV filters for sunscreens:A review

Although solar exposure is necessary for human health,phototoxicology induced by excessive UVB and UVA radiation,which involves sunburns,skin aging and even tu-morigenesis,has been widely researched.Sunscreen is one of the most important ways to protect skin from UV phototoxic damage.As well as inorganic and organic UV filters,some natural products or plant extracts with aromatic rings in their structures,such as flavonoids or polyphenols,can absorb UV to reduce sunburn,acting as a natu-ral UV filter;they also show antioxidant or/and anti-inflammatory activity.This could explain why,although there are no officially approval natural commercial sun-filters,more and more commercial sunscreen products containing plant extracts are avail-able on the market.Here we summarize articles focusing on natural UV filters from plant published in the last 6 years,selecting the most significant data in order to better understand the photoprotective activity of natural products and extracts from plants,including their major constituents and main biological effects,methods for evaluating UV radiation resistance,anti-UV radiation experimental models and anti-UV radiation mechanisms.

Improvement of atmospheric jet-array plasma uniformity assisted by artificial neural networks

Atmospheric pressure plasma jet(APPJ)arrays have shown a potential in a wide range of applications ranging from material processing to biomedicine.In these applications,targets with complex three-dimensional structures often easily affect plasma uniformity.However,the uniformity is usually crucially important in application areas such as biomedicine,etc.In this work,the flow and electric field collaborative modulations are used to improve the uniformity of the plasma downstream.Taking a two-dimensional sloped metallic substrate with a 10°inclined angle as an example,the influences of both flow and electric field on the electron and typical active species distributions downstream are studied based on a multi-field coupling model.The electric and flow fields modulations are first separately applied to test the influence.Results show that the electric field modulation has an obvious improvement on the uniformity of plasma while the flow field modulation effect is limited.Based on such outputs,a collaborative modulation of both fields is then applied,and shows a much better effect on the uniformity.To make further advances,a basic strategy of uniformity improvement is thus acquired.To achieve the goal,an artificial neural network method with reasonable accuracy is then used to predict the correlation between plasma processing parameters and downstream uniformity properties for further improvement of the plasma uniformity.An optional scheme taking advantage of the flexibility of APPJ arrays is then developed for practical demands.

深度学习运用于胸腔X射线影像研究的文献计量学分析

目的 基于SCIE和PubMed数据库了解深度学习在胸腔X射线影像相关领域研究文献发表情况。方法 检索2017年1月1日至2021年12月31日收录于SCIE和PubMed的关于胸腔X射线影像的文献,针对发文量、出版机构、出版期刊、引文、作者及关键词等信息进行统计分析。结果 共纳入文献440篇,深度学习在胸腔X射线影像研究相关文献发文量呈逐年增长趋势。美国发文量最多,总被引频次为4 409次,篇均被引频次为12.32次,美国的IEEE Access期刊发文量最多,达29篇。发文量排名第一的出版商是德国的Springer Nature,为83篇。核心作者7位,发文最多的有10篇,主要关键词频次出现最多的为COVID-19。结论 SCIE和PubMed收录的关于深度学习在胸腔X射线影像相关领域的文献整体呈逐年上升趋势,基本以英文文献增长为主,核心作者群尚未形成,尚未出现引文量和发文量均丰富的领军人物,高影响力文献数量有限。

利用SNP芯片信息评估新疆近交牛基因组纯合度

新疆近交牛是经45年近亲繁育形成的近交群体,但由于繁育记录缺失,其原始亲本品种未知。为了明确新疆近交牛的遗传背景,并探索利用基因组信息评价牛群近交水平的可行性,本研究利用该群体及荷斯坦牛、新疆褐牛和哈萨克牛等16个国内外牛品种的SNP芯片数据,应用主成分分析和Admixture方法对塔城地区新疆近交牛的群体结构进行分析;通过进一步计算新疆近交牛、荷斯坦牛、新疆褐牛和哈萨克牛的群体遗传学参数以及基因组近交指标评估各群体近交程度;结合新疆近交牛的体型分类和基因组近交指标信息,探讨了个体近交程度与体型表现的关系;最后,基于对新疆近交牛和哈萨克牛高频长纯合片段区域的筛选,鉴定了新疆近交牛基因组特征区域。研究结果显示,新疆近交牛的遗传背景与哈萨克牛基本一致,近交牛基因组纯合程度明显高于其他群体,且基因纯合率越高的近交牛其体型越小,在一定程度上呈现了近交衰退对体型的影响。本研究还鉴定到与新疆近交牛基因组特征区域相关的6个基本生物学通路以及与重要经济性状相关的32个数量基因座(quantitative trait loci,QTL)。本研究结果为新疆近交牛这一特殊遗传资源的育种规划及未来该群体的开发利用提供了科学依据。

绵羊高效转基因通用型piggyBac转座子载体构建及功能验证

piggy Bac(PB)是一种能在多种动物细胞中进行转座的DNA转座子,作为一种转基因工具已被广泛应用于各种哺乳动物转基因研究中。针对不同物种对PB转座子进行改造,是提升其通用性的必要手段。为构建基于绵羊细胞进行转基因操作的通用型PB转座子载体,本研究对PB转座酶(PBase)基因进行绵羊密码子偏好性优化并将其克隆到p BNW-TP1载体中,成功构建了PB转座子载体p BNW-TP2。将p BNW-TP2转染到绵羊成纤维细胞和乳腺上皮细胞中,利用G418筛选获取稳定转染细胞株;利用Tail-PCR检测稳定转染细胞株的PB转座位点,对细胞阳性克隆进行亚甲蓝染色;利用非配对t检验确认其转座效率。结果表明,p BNW-TP2成功介导了绵羊成纤维细胞和乳腺上皮细胞转基因阳性细胞株的生产;PB转座位点检测表明p BNW-TP2能特异性整合到绵羊基因组TTAA位点,其整合位点倾向于功能基因间;亚甲蓝染色统计分析结果提示p BNW-TP2介导的转基因效率显著提升。本研究成功构建了绵羊通用型PB转座子载体p BNW-TP2,并在绵羊体细胞中对其特性进行验证和分析,为PB转座子在绵羊体细胞中开展转基因相关研究提供了科学依据。

基于“中国慢性病前瞻性研究”的遗传资源建设与应用

目前中国慢性病负担沉重,加快推进慢性病早期预防的研究迫在眉睫。大型人群队列是慢性病病因学研究的首要设计之一,有助于人们寻找到切实可行的慢性病干预措施。同时,从大型人群队列的基因水平阐明危险因素与疾病的遗传关联,也可开辟一条研究流行病学中因果关系的新途径。本文对由中国医学科学院、北京大学和英国牛津大学联合开展的“中国慢性病前瞻性研究”项目China Kadoorie Biobank(CKB)进行了推介,重点介绍了该项目遗传数据资源的建设进展以及近年来发表的遗传学研究成果,以期为我国大型人群队列遗传资源的深入挖掘与利用提供参考。

Data mining in clinical big data:the frequently used databases,steps,and methodological models

Many high quality studies have emerged from public databases,such as Surveillance,Epidemiology,and End Results(SEER),National Health and Nutrition Examination Survey(NHANES),The Cancer Genome Atlas(TCGA),and Medical Information Mart for Intensive Care(MIMIC);however,these data are often characterized by a high degree of dimensional heterogeneity,timeliness,scarcity,irregularity,and other characteristics,resulting in the value of these data not being fully utilized.Data-mining technology has been a frontier field in medical research,as it demonstrates excellent performance in evaluating patient risks and assisting clinical decision-making in building disease-prediction models.Therefore,data mining has unique advantages in clinical big-data research,especially in large-scale medical public databases.This article introduced the main medical public database and described the steps,tasks,and models of data mining in simple language.Additionally,we described data-mining methods along with their practical applications.The goal of this work was to aid clinical researchers in gaining a clear and intuitive understanding of the application of data-mining technology on clinical big-data in order to promote the production of research results that are beneficial to doctors and patients.

Predictive Value of BRAF^V600E Mutation for Lymph Node Metastasis in Papillary Thyroid Cancer:A Meta-analysis

BRAF^V600E mutation has been thought to be a valuable molecular marker that may predict a worse prognosis for papillary thyroid cancer (PTC).But whether BRAF^V600E mutation is associated with lymph node metastasis (LNM)remains controversial. Different surgical strategies may bring a bias in demonsstrating the association between them.In order to delineate a risk stratification to guide a tailored initial approach to tumors that express BRAF^V600E mutation,we performed this meta-analysis by using the articles in which total or near-total thyroidectomy plus bilateral central lymph node dissection was routinely performed to avoid the bias from the surgical strategy.We searched the Medline,Embase and CNKI database for eligible studies from January 2003 to May 2018.Meta-analysis was performed using the STATA 12.0 software.Odds ratios (ORs)and 95% confidence intervals (CIs)were calculated under fixed-effects or random-effects models.Fifteen clinical studies were included with a total of 4909 PTC patients. Our meta-analysis results reported that BRAF^V600E mutation was associated with LNM (OR=1.34;95% CI:1.09-1.65;P=0.005),as well as central LNM (OR=1.59;95% CI: 1.35-1.88;P<0.00001).Moreover,in patients with papillary thyroid microcarcinoma, we also confirmed the predictive value of BRAF^V600E mutation for LNM (OR=3.49;95% CI:2.02-6.02;P<0.00001).This meta-analysis demonstrates that BRAF^V600E mutation is closely related to LNM in PTC patients.The results suggest that BRAF^V600E mutation can be considered as a risk factor for LNM in PTC.Moreover,combining BRAF^V600E mutation with other risk factors to determine the initial surgical treatment may bring benefits for PTC patients.