Callovian-Oxfordian sedimentary microfacies in the middle of Block B on the right bank of the Amu Darya Basin,Turkmenistan

The right bank of the Amu Darya Basin enjoys abundant natural gas resources,on which the Callovian-Oxfordian strata in the middle of Block B serve as the major horizons for natural gas production.However,the characteristics and distribution patterns of the sedimentary microfacies in these strata are yet to be further explored.Based on the analysis of data on drilling,logging,cores,and thin sections from 29 typical wells,as well as the regional sedimentary background,this study inferred that the middle of Block B evolved from the Callovian ramp platform into the Oxfordian rimmed platform.Moreover,this study determined that the inner-ramp intertidal-subtidal shallow-water subfacies mainly developed during the Callovian and transitioned into the shallow shelf subfacies during the Oxfordian.This study identified eight sedimentary microfacies,namely reef knoll,reef-shoal complex,bioclastic shoal,psammitic shoal,bioherm,lime mud mound,intershoal(intermound),and static-water mud.Based on research into the high-precision sequence-sedimentary microfacies framework,this study built a geological model for the development of sedimentary microfacies in the study area.According to this geological model,the sedimentary microfacies in the study area are characterized by vertical alternation of reef-shoal complex,bioclastic(psammitic)shoal,bioherm,and intershoal microfacies.Moreover,they show the development of reef knoll,reef-shoal complex,bioclastic(psammitic)shoal,and bioherm(or lime mud mound)laterally from west to east,with the physical properties of the reservoirs deteriorating from west to east accordingly.The microfacies of reef-shoal complex and the bioclastic(psammitic)shoal predominate in the study area,and their deposition and development are controlled by sequence boundaries and are also affected by paleo-landforms.The Oxfordian reef-shoal complexes were largely inherited from the Callovian uplifts and show lateral seaward progradation.

Dynamical Modeling and Dynamic Characteristics Analysisof a Coaxial Dual-Rotor System

The dual-rotor structure serves as the primary source of vibration in aero-engines. Understanding itsdynamical model and analyzing dynamic characteristics, such as critical speed and unbalanced response, arecrucial for rotor system dynamics. Previous work introduced a coaxial dual-rotor-support scheme for aeroengines,and a physical model featuring a high-speed flexible inner rotor with a substantial length-to-diameter ratiowas designed. Then a finite element (FE) dynamic model based on the Timoshenko beam elements and rigid bodykinematics of the dual-rotor system is modeled, with the Newmark method and Newton–Raphson method used forthe numerical calculation to study the dynamic characteristics of the system. Three different simulation models,including beam-based FE (1D) model, solid-based FE (3D) model, and transfer matrix model, were designed tostudy the characteristics of mode and the critical speed characteristic of the dual-rotor system. The unbalancedresponse of the dual-rotor system was analyzed to study the influence of mass unbalance on the rotor system. Theeffect of different disk unbalance phases and different speed ratios on the dynamic characteristics of the dual-rotorsystem was investigated in detail. The experimental result shows that the beam-based FE model is effective andsuitable for studying the dual-rotor system.

Wireless Self-Powered Vibration Sensor System for Intelligent Spindle Monitoring

In recent years,high-end equipment is widely used in industry and the accuracy requirements of the equipment have been risen year by year.During the machining process,the high-end equipment failure may have a great impact on the product quality.It is necessary to monitor the status of equipment and to predict fault diagnosis.At present,most of the condition monitoring devices for mechanical equipment have problems of large size,low precision and low energy utilization.A wireless self-powered intelligent spindle vibration acceleration sensor system based on piezoelectric energy harvesting is proposed.Based on rotor sensing technology,a sensor is made to mount on the tool holder and build the related circuit.Firstly,the energy management module collects the mechanical energy in the environment and converts the piezoelectric vibration energy into electric energy to provide 3.3 Vfor the subsequent circuit.The lithium battery supplies the system with additional power and monitors’the power of the energy storage circuit in real-time.Secondly,a three-axis acceleration sensor is used to collect,analyze and filter a series of signal processing operations of the vibration signal in the environment.The signal is sent to the upper computer by wireless transmission.The host computer outputs the corresponding X,Y,and Z channel waveforms and data under the condition of the spindle speed of 50∼2500 r/min with real-time monitoring.The KEIL5 platform is used to develop the system software.The small-size piezoelectric vibration sensor with high-speed,high-energy utilization,high accuracy,and easy installation is used for spindle monitoring.The experiment results show that the sensor system is available and practical.

Baicalin inhibits colistin sulfate-induced apoptosis of PC12 cells

Baicalin, a type of flavonoid extracted from the dried root of Scutellaria baicalensis georgi, has been shown to effectively inhibit cell apoptosis. Therefore, we assumed that baicalin would suppress colistin sulfate-induced neuronal apoptosis. PC12 cells exposed to colistin sulfate （62.5-500 μg/mL） for 24 hours resulted in PCl2 cell apoptosis. In addition, caspase-3 activity, lactate dehydrogenase level and free radical content increased in a dose-dependent manner. Subsequently, PC12 cells were pretreated with baicalin （25, 50 and 100 pg/mL）, and exposed to 125 pg/mL colistin sulfate. Cell morphology markedly changed, and cell viability increased. Moreover, caspase-3 activity, lac- tate dehydrogenase level and free radical content decreased. Results indicated that baicalin inhib- ited colistin sulfate-induced PC12 cell apoptosis by suppressing free radical injury, and reducing caspase-3 activity and lactate dehydrogenase activity.

Intrastriatal glial cell line-derived neurotrophic factors for protecting dopaminergic neurons in the substantia nigra of mice with Parkinson disease

BACKGROUND： Substantia nigra is deep in position and limited in range, the glial cell line-derived neurotrophic factor （GDNF） injection directly into substantia nigra has relatively greater damages with higher difficulty. GDNF injection into striatum, the target area of dopaminergic neuron, may protect the dopaminergic neurons in the compact part of substantia nigra through retrograde transport. OBJECTIVE： To investigate the protective effect of intrastriatal GDNF on dopaminergic neurons in the substantia nigra of mice with Parkinson disease （PD）, and analyze the action pathway. DESIGN： A controlled observation. SETTING： Neurobiological Laboratory of Xuzhou Medical College. MATERIALS： Twenty-four male Kunming mice of 7 - 8 weeks old were used. GDNF, 1-methy1-4-pheny1-1,2,3,6-tetrahydropyridine （MPTP） were purchased from Sigma Company （USA）; LEICAQWin image processing and analytical system. METHODS： The experiments were carded out in the Neurobiological Laboratory of Xuzhou Medical College from September 2005 to October 2006. The PD models were established in adult KunMing mice by intraperitoneal injection of MPTP. The model mice were were randomly divided into four groups with 6 mice in each group： GDNF 4-day group, phosphate buffer solution （PSB） 4-day group, GDNF 6-day group and PSB 6-day group. Mice in the GDNF 4 and 6-day groups were administrated with 1 μ L GDNF solution （20 μ g/L, dispensed with 0.01 mol/L PBS） injected into right striatum at 4 and 6 days after model establishment. Mice in the PSB 4 and 6-day groups were administrated with 0.01 mol/L PBS of the same volume to the same injection at corresponding time points. ② On the 12^th day after model establishment, the midbrain tissue section of each mice was divided into 3 areas from rostral to caudal sides. The positive neurons of tyroxine hydroxylase （TH） and calcium binding protein （CB） with obvious nucleolus and clear outline were randomly selected for the measurement, and the number of positive neurons in unit area was counted. MAIN OUTCOME MEASURES： Number of positive neurons of TH and CB in midbrain substantia nigra of mice in each group. RESULTS： All the 24 mice were involved in the analysis of results. The numbers of TH^＋ and CB^＋ neurons in the GDNF 4-day group （54.33±6.92, 46.33±5.54） were obviously more than those in the PBS 4-day group （27.67±5.01, 21.50±5.96, P 〈 0.01）. The numbers of TH^＋ and CB^＋ neurons in the GDNF 6-day group （75.67±5.39, 69.67±8.69） were obviously more than those in the PBS 6-day group （27.17±4.50, 21.33 ±5.72, P 〈 0.01） and those in the GDNF 4-day group （P 〈 0.01 ）. CONCLUSION： Intrastriatal GDNF can protect dopaminergic neurons in substantia nigra of PD mice, and it may be related to the increase of CB expression.

基于机器视觉的马铃薯图像特征参数获取方法n

目前马铃薯的分级方法主要还是以人工为主,而人工分级普遍存在不稳定性,费时成本高,依赖人的主观经验等.近些年来,机器视觉技术在农业领域取得了广泛的应用,尤其是农产品分级领域取得了较多的成果.机器视觉技术具有无损害、经济性好、精确率高等优点.对于马铃薯分类,可以从外观尺寸上判断马铃薯的形状类型和重量范围.人工分级时,通过观察不同马铃薯样本的不同横截面大小,就可以主观上判断出马铃薯的形状类型,大致评估质量范围.基于人工分级的特点,通过机器视觉进行分级,只需获得不同横截面的的投影,通过提取图像特征参数的方式来对这些横截面进行定量分析,就可以模拟人工分级的模式对马铃薯进行基于机器视觉的自动分级.本文设计了一套机器视觉系统,分别获取马铃薯平放时的图片与竖放时的图片,以获取最大横截面与最小横截面的投影.采集图片并对得到的照片进行图像处理,得到只有目标区域和背景的二值化图像.从一副图像中获得9个特征,然后通过100个马铃薯样本得到了基于这些特征的数据集.利用软件Unscramble对这些数据集进行分析,以验证方法的合理性.

Prevention and Treatment of Chinese Herbal Preparation Yinqiaotiangan against Pathologic Model of Streptococcus suis Serotype II in Kunming Mice

[ Objectlve] This study aimed to investigate the antimicrobial effect of Chinese herbal preparation Yinqiaotiangan against Streptococcus suis serotype II in vivo. [ Method ] The prevention and treatment tests were conducted with Kunming mice weighing about 18 -22 g. In the prevention test, Kunming mice were inocu- lated with Streptococcus suis serotype II and simultaneously taken orally 0.5, 1.0 and 2.0 g/ml Chinese herbal preparation Yinqiaotiangan respectively for continu- ous 3 d, once a day; the incidence rate, mortality rate and protective rate were detected after 7 d. In the treatment test, Kunming mice were inoculated with Strepto- coccus suis serotype II to establish the Streptococcus suis serotype II pathogenic model, and then taken orally 0.5, 1.0 and 2.0 g/ml Chinese herbal preparation Yin- qiaotiangan respectively for continuous 3 d, twice a day; the mortality rate, cure rate and effective rate were detected after 7 d. [ Result ] Results of the prevention test showed that the protective rate in experimental groups was extremely significantly higher than that in control group （P 〈0.01 ）, while the incidence rate and mortality rate were extremely significantly lower than that in control group （P 〈0.01 ）. Results of the treatment test showed that the incidence rate in experimental groups was extremely significantly lower than that in control group （P 〈0.01 ）, the cure rate in 0.5 g/ml group was extremely significantly higher than that in 1.0 g/ml group and 2.0 g/ml group （P 〈 0.01 ）, the effective rate in 0.5 g/ml group was significantly higher than that in 1.0 g/ml group and 2.0 g/ml group （ P 〈 0.05 ）, with no significant difference from the positive group （P 〉 0.05 ）. [ Conclusion ] The pathologic model of Streptococcus su/s serotype II could be effec- tively prevented and treated by oral intake of low dose of Chinese herbal preparation Yinqiaotiangan in Kunming mice.

生猪复养成功之关键——猪场管理

2018年8月以来受非洲猪瘟疫情的影响,我国生猪产能大幅度下滑;2020年1月,突如其来的新型冠状病毒肺炎使养猪产业更是雪上加霜;我国的整个社会经济发展受到了严重的影响。2020年是我国经济社会达到小康的关键一年,也是生猪产能恢复关键年。“民以食为天”“猪粮安天下”,我国是农业大国,也是养猪大国,农业与养猪业的健康稳定发展关乎千家万户。

SENet优化的Deeplabv3+淡水鱼体语义分割

淡水鱼头、腹、鳍的各部分快速识别与精准定位是机器人实现淡水鱼快速抓取,精确切割、提升作业效率关键技术的前提。针对深度学习的淡水鱼体语义分割算法在编码特征提取阶段产生大量无效的特征通道,以及网络不断下采样和池化操作使得鱼体某些细节信息被丢失,网络性能下降、边缘分割效果不佳的问题,提出了一种基于SENet优化后的Deeplabv3+淡水鱼头、腹、鳍的语义分割算法。利用空洞/带孔卷积(dilated/atrous convolutions)实现扩展感受野,克服细节信息丢失,达到准确定位的目的,同时SENet的优化使得Deeplabv3+通过学习的方式提升淡水鱼有用的特征并抑制对当前任务用处不大的特征,最终淡水鱼各部分的语义分割平均交并比(MIoU)在自建的淡水鱼数据集上达到了93%左右,性能得到了明显提升并达到了目前先进分割水平。

Heck Reactions with Ultralow Concentration of Transition Metals under Microwave Irradiation

The Heck coupling reactions of aryl halides and olefins were performed under the microwave assistance. Interestingly, the ultralow concentration of transition metals (in ppb) coming from the reactants could catalyze the Heck coupling reactions under microwave irradiation, without addition of any catalysts, ligands and phase-transfer agents. The influences of bases, solvents and temperature were discussed, and the reaction rate was enhanced largely in the mixed solvents of NMP and water due to the solubility of base in water.

Synthesis and Electrochemical Properties of Transparent Nanostructured BaTiO₃Film Electrodes

Transparent nanostructured BaTiO3 film electrodes were synthesized on conductive substrates from BaTiO3 nanocrystals forming at low temperature. Electrochemical and spectroelectrochemical methods were employed to investigate its properties of band energetics and the trap state at different pH values. The flat band edges greatly depended on the pH value of electrolyte, and the flat band edges were -0.70, -0.92 and -1.20 V vs saturated Ag/AgCl at the pH value of 3.0, 6.8 and 13.0, respectively. The results showed that trap state densities also highly depended on pH. The total trap state densities were 3.73 × 1015, 4.02 × 1015 and 6.48 × 1016 cm-2 at pH value of 3.0, 6.8 and 13.0 respectively with maximum located at -0.36 V, -0.50 V and -0.80 V. The results obtained from CVs were in good agreement with that obtained from the measurements of time resolved currents. The size of the peak potentials in the cyclic voltammograms experiments was increased dramatically with the pH value increasing, indicating that traps were surface-related.

Prevention of beta cell death in chronic pancreatitis

Chronic pancreatitis is best described as a relentless, continuous inflammatory destruction of the pancreas parenchyma, characterized by irreversible destruction of the exocrine tissues, fibrosis, and at the late stage, the destruction of endocrine cells. Current therapies for chronic pancreatitis patients focus on pain relief by medical and minimally invasive endoscopic treatment as well as surgical management with resection of diseased parenchyma and drainage of obstructed ducts. Radical treatment of chronic pancreatitis has been successful with total pancreatictomy and islet autotransplantation (TP-IAT) that may prevent maladaptive intractable pain pathways and also avoid pancreatogenic diabetes in the well-selected patient. Distinct loss of pancreatic islet cells occurs in about 30%-50% of patients during the progression of chronic pancreatitis when severe fibrosis develops at the late stage of the disease. Profound β cell apoptosis induced by stresses encountered during islet isolation and transplantation further compromises β cell survival and function after TP-IAT. The molecular mechanisms that lead to β cell dysfunction in chronic pancreatitis remain largely undelineated. In this review, we summarize factors that may contribute β cell apoptosis during the disease progress and after TP-IAT and discuss potential interventional approaches that may prevent islet cell death during these processes. Such information is critical to the development of therapeutic protocols that can preserve the viability and function of β cell in patients with chronic pancreatitis.

Application of Big Data Deep Learning in Auxiliary Diagnosis of Lower Extremity Arteriosclerosis Obliterans

At present,the incidence rate of arteriosclerosis obliterans(LEASO)of the lower extremities is significantly increased by aging and lifestyle changes.It is of great importance to predict the LEASO effectively and accurately by analyzing the imaging data of the lower extremities⑴.At this stage,China has entered the era of big data and artificial intelligence.Medical institutions at all levels can produce a large number of lower limb vascular image data every day.Using big data deep learning technology to intelligently analyze a large number of image data,and then carry out auxiliary diagnosis,so as to improve the diagnosis and treatment effect of LEASO is the focus of clinical research.

Multi-spherical interactions and mechanisms of hydrocarbon enrichment in the Southeast Asian archipelagic tectonic system

Global cooling began since 50 Ma,but a warm climate was maintained in the archipelagic tectonic system in Southeast Asia where a wealth of Cenozoic oil and gas resources was formed and preserved.From the perspective of Earth system,this study analyzes Cenozoic tectonic activities,climatic and environmental evolution,and petroleum enrichment in Southeast Asia,and provides the following insights:(1)Subduction of oceanic plates and the extension of overlying continental lithosphere resulted in widespread volcanic eruptions as well as the formation of rift basins and shallow marine shelves,leading to complex interactions between deep tectonic processes and Earth’s surface including mountains,basins,and seas.(2)Microcontinental accretion and prolonged stay in equatorial low-latitude regions have changed trade winds into monsoons,altered ocean current pathways and flow rates,and profoundly affected rainfall and climate.(3)The archipelagic tectonic system,coupled with a hot and rainy climate,fostered tropical rainforests,mangroves,and phytoplankton,providing abundant organic matter and promoting the development of petroleum resources.(4)Combinations of rift basin development and marine transgression and regression led to an effective superposition of source-reservoir-seal combinations from multiplepetroleum systems.Rapid deep burial of organic matter and high geothermal gradients facilitated the generation and large-scale accumulation of oil and gas.(5)Multi-spherical(such as atmosphere,biosphere,hydrosphere and lithosphere)interactions on the Earth,which resulted from the convergence of multiple tectonic plates,are believed as the primary driver for exceptional enrichments of Cenozoic oil and gas resources in Southeast Asia.These understandings are significant for developing theories of oil and gas enrichment under the guidance of Earth System Science.In order to continue making significant oil and gas exploration discoveries in the deep-layers,deep-waters,and unconventional oil and gas fields of Southeast Asia,attention should be paid to the oil and gas resource effects of the collision between Australia and Sunda blocks and the high-temperature and high-rainfall climate environment,and efforts should be made to develop economic development and CO_(2)sequestration technologies for offshore CO_(2)-rich gas fields.

Semi-synthetic chondroitin sulfate CS-semi5 upregulates miR-122-5p,conferring a therapeutic effect on osteoarthritis via the p38/MMP13 pathway

Osteoarthritis(OA)is an aging-associated disease characterized by joint stiffness pain and destroyed articular cartilage.Traditional treatments for OA are limited to alleviating various OA symptoms.There is a lack of drugs available in clinical practice that can truly repair cartilage damage.Here,we developed the chondroitin sulfate analog CS-semi5,semi-synthesized from chondroitin sulfate A.In vivo,CS-semi5 alleviated inflammation,provided analgesic effects,and protected cartilage in the modified Hulth OA rat model and papain-induced OA rat model.A bioinformatics analysis was performed on samples from OA patients and an exosome analysis on papain-induced OA rats,revealing miR-122-5p as the key regulator associated with CS-semi5 in OA treatment.Binding prediction revealed that miR-122-5p acted on the 30-untranslated region of p38 mitogen-activated protein kinase,which was related to MMP13 regulation.Subsequent in vitro experiments revealed that CS-semi5 effectively reduced cartilage degeneration and maintained matrix homeostasis by inhibiting matrix breakdown through the miR-122-5p/p38/MMP13 axis,which was further validated in the articular cartilage of OA rats.This is the first study to investigate the semi-synthesized chondroitin sulfate CS-semi5,revealing its cartilageprotecting,anti-inflammatory,and analgesic properties that show promising therapeutic effects in OA via the miR-122-5p/p38/MMP13 pathway.

Carrier-free nanoprodrug for p53-mutated tumor therapy via concurrent delivery of zinc-manganese dual ions and ROS

Human cancers typically express a high level of tumor-promoting mutant p53 protein(Mutp53)with a minimal level of tumor-suppressing wild-type p53 protein(WTp53).In this regard,inducing Mutp53 degradation while activating WTp53 is a viable strategy for precise anti-tumor therapy.Herein,a new carrier-free nanoprodrug(i.e.,Mn-ZnO_(2)nanoparticles)was developed for concurrent delivery of dual Zn-Mn ions and reactive oxygen species(ROS)within tumor to regulate the p53 protein for high anti-tumor efficacy.In response to the mild tumor acidic environment,the released Zn^(2+)and H_(2)O_(2)from Mn-ZnO_(2)NPs induced ubiquitination-mediated proteasomal degradation of Mutp53,while the liberative Mn^(2+)and increased ROS level activated the ATM-p53-Bax pathway to elevate WTp53 level.Both in vitro and in vivo results demonstrated that pH-responsive decomposition of Mn-ZnO2 NPs could effectively elevate the intracellular dual Zn-Mn ions and ROS level and subsequently generate the cytotoxic hydroxyl radical(·OH)through the Fenton-like reaction.With the integration of multiple functions(i.e.,carrier-free ion and ROS delivery,tumor accumulation,p53 protein modulation,toxic·OH generation,and pH-activated MRI contrast)in a single nanosystem,Mn-ZnO_(2)NPs demonstrate its superiority as a promising nanotherapeutics for p53-mutated tumor therapy.

N-doped carbon quantum dots as fluorescent probes for highly selective and sensitive detection of Fe^3+ ions

To investigate the effect of nitrogen on the photoluminescence properties of carbon quantum dots (CO Ds), N-doped carbon quantum dots (N-CQDs)were synthesized by one-step hydrothermal treatment using biomass tar as the carbon precursor.As an inevitable organic pollutant,the unsaturated bonds in biomass tar,such as carboxylic acids,aldehydes,and aromatics,are favorable for formation of the graphitic carbon lattice.The obtained N-CQDs are spherical with an average particle size of 2.64nm and the crystal lattice spacing is 0.25nm,corresponding to the (100)facet of graphitic carbon.The N-CQDs emit bright blue photoluminescence under 365nm ultraviolet light,and they have excellent water solubility and stability with a high quantum yield of 26.1%.Coordination between the functional groups on the N-CQD surface and Fe^3+ ions is promoted because of the improved electronic properties and surface chemical reactivity caused by N atoms,leading to a significant fluorescence quenching effect of the N-CQDs in the presence of Fe^3+ions with high selectivity and sensitivity.There is a linear relationship between In (Fo/F)and the Fe^3+ concentration in the N-CQD concentration range 0.06-1400μmol/L with a detection limit of 60nmol/L, showing that the N-CQ.Ds have great potential as a fluorescent probe for Fe^3+detection.

Three-dimensional decellularized tumor extracellular matrices with different stiffness as bioengineered tumor scaffolds

In the three-dimensional(3D)tumor microenvironment,matrix stiffness is associated with the regulation of tumor cells behaviors.In vitro tumor models with appropriate matrix stiffness are urgently desired.Herein,we prepare 3D decellularized extracellular matrix(DECM)scaffolds with different stiffness to mimic the microenvironment of human breast tumor tissue,especially the matrix stiffness,components and structure of ECM.Furthermore,the effects of matrix stiffness on the drug resistance of human breast cancer cells are explored with these developed scaffolds as case studies.Our results confirm that DECM scaffolds with diverse stiffness can be generated by tumor cells with different lysyl oxidase(LOX)expression levels,while the barely intact structure and major components of the ECM are maintained without cells.This versatile 3D tumor model with suitable stiffness can be used as a bioengineered tumor scaffold to investigate the role of the microenvironment in tumor progression and to screen drugs prior to clinical use to a certain extent.

Synthesis,Al^(3+)/Mg^(2+) Intercalation and Structure Study of Graphite-like Carbon Nitride

Graphite-like carbon nitride （g-C3N4） was synthesized in large quantities at 300 ℃ under nitrogen by a solidstate reaction route. Furthermore, Al3＋ and Mg2＋ intercalation of g-CaN4 was performed by an electrochemical method. The starting C3N4 materials and intercalation compounds were characterized by X-ray powder diffraction, Fourier transform infrared spectra, thermogravimetry, transmission electron microscopy, and X-ray photoelectron spectroscopy. The possible structure model of intercalation compounds was proposed. The cation-π interactions and electrostatic interactions were used to explain the changes of microstructure and chemical bonds before and after intercalation.