Effects of laser energy on the surface quality and properties of electrodeposited zinc-nickel-molybdenum coatings

As a substitute for toxic cadmium coatings in the aerospace industry,zinc-nickel coatings have excellent application prospects,and their properties can be improved by adding molybdenum.In this study,laser-assisted electrodeposition is used to improve the surface quality and properties of Zn–Ni–Mo coatings,with investigation of how laser energy in the range of 0–21.1μJ affects their element content,surface morphology,crystal phase,microhardness,residual internal stress,and corrosion resistance.The laser irradiation accelerates the electrodeposition,refines the grain size,improves the hydrogen adsorption,and reduces the residual tensile stress,and a laser energy of 15.4μJ gives the highest Ni and Mo contents and the lowest Zn content,as well as the optimum surface morphology,microhardness,residual internal stress,and corrosion resistance of the coating.

Multidisciplinary treatment of molten aluminum combined burn:An unusual case report

Molten aluminum is among the most common causes of burns in the metal industry.However,only few reports are available on molten aluminum injuries.Herein,we report an unusual case of molten aluminum burn.The patient had burns not only on the body surface but also in the respiratory tract and esophagus,adding to the difficulty of treatment.Multidisciplinary consultation and cooperation led to the development of a treatment plan for the patient,which included tracheotomy,respiratory management,endoscopic therapy,infection control,and psychological support.To our knowledge,this is the first report of molten aluminum-induced burns involving the face,neck,respiratory tract,esophagus,and eyes.We also describe our experience with multidisciplinary treatment for the management of molten aluminum burns.

野外地质实践教学过程中信息化技术应用与教学改革——以汉中梁山野外地质实践教学为例

针对野外地质教学过程中存在因场景变化快而重现性差,地形陡峭或潜在滚石因素不能近距离观察,地质现象不会自我表述而观赏性不足,疫情、时间或天气原因影响野外教学实习进度等问题,本文以汉中梁山野外地质实践教学为例,将信息化技术应用到实践教学中,主要开展了以下工作:把野外实习内容和调研工作方法搬到虚拟仿真实验教学中,将知识点学习和方法技能训练融入闯关式路线虚拟仿真教学中;编制了视频讲解小程序,通过扫描二维码让实习路线或剖面中的重要地质现象能够自动播放、自我介绍、反复练习;制作岩矿标本三维模型并集成显微组构与岩矿化学分析等,协助岩矿成因分析和定量化评价指标等工作;通过师生间教-学-研-习-思-创结合训练,提升实习基地研究水平和信息化应用程度,促进师生间实习教学环节的多模块化和菜单式教与学任务;将课程思政融入野外实践教学环节。野外实践教学改革中融合辩证思维、思政范例、虚拟仿真、信息化技术与实施“四化”教学改革,持续提高了师生对实习基地及周邻区地质科学问题的研究程度与教学质量,提升了学生对野外实习的学习兴趣和学习效率,取得了良好的教学改革成效。

探索综合护理干预对焦虑症患者的焦虑评分及生活质量的影响

目的探究分析综合护理干预对焦虑症患者的焦虑评分以及生活质量的影响。方法选取我院于2017年12月至2018年12月收治的焦虑症患者100例,按不同护理方式将其均分为研究组(50例,综合护理干预)和对照组(50例,常规护理干预)。对比两组患者护理后其焦虑评分及生活质量。结果 (1)两组患者焦虑自评分数比较:在护理结束后,研究组患者所获得的焦虑自评分数是远低于对照组患者的,并且两组之间的差异显著(P<0.05);(2)两组患者护理有效率比较:研究组患者远高于对照组患者,并且两组间差异具有统计学意义(P<0.05)。结论对焦虑症患者使用综合护理干预可提升其护理有效率,降低焦虑评分,可临床推广应用。

“一带一路”倡议背景下留学生应用地质学专业建设探讨

为充分发挥近年来我国地学高等教育成果和资源优势,响应国家“一带一路”倡议,推动我国地学教育“引进来,走出去”的国际化进程,面向“一带一路”国家资源、环境问题和基础设施建设需求,开设应用地质学留学生专业。借鉴国外地质学教育面向产业应用的发展趋势和经验,制订国际化的全英文培养方案,构建体现中国人文特色的应用地质学教育体系。应用地质学留学生专业建设有助于“一带一路”沿线国家开展资源、环境和工程建设领域的基础地质调查、勘查、评价、开发与管理,同时对相关国家在地学科技创新、人才培养、学术交流等方面产生积极影响。

地质学类专业课程思政的元素内涵与实践路径

立德树人是教育之根本,引导学生铸就坚定崇高的理想信念、锤炼高尚过硬的道德品格,需要将专业课程与思想政治理论教育同向同行,贯穿人才培养的全方位全过程。为树立课程思政意识,提高人才培养质量,促进学生全面发展,本文从地质学类专业背景和课程特点出发,以政治认同、家国情怀、国际视野、科学精神、文化素养、法治意识、道德修养、生态文明等方面为出发点,挖掘并探讨地质学类专业课程思政的元素及其内涵。基于此,提出了地质学类课程思政实施的基本路径。

正念减压联合团体健康教育对老年广泛性焦虑障碍患者负性情绪及生活质量的影响

目的:观察分析正念减压联合团体健康教育对老年广泛性焦虑障碍患者负性情绪及生活质量的影响。方法:选取2020年7月-2021年5月于德阳市人民医院心身医学科治疗的80例老年广泛性焦虑障碍患者,按照随机数字表法将其分为研究组和对照组,每组40例。对照组采用常规护理,研究组在常规护理的基础上予以正念减压治疗联合团体健康教育。比较两组治疗前后焦虑自评量表(SAS)、抑郁自评量表(SDS)、汉密尔顿焦虑量表(HAMA)、生活质量(SF-36)评分;比较两组护理满意度。结果:治疗前,两组SAS、SDS、HAMA评分比较,差异均无统计学意义(P>0.05);治疗后,两组SAS、SDS、HAMA评分均低于治疗前,且研究组均低于对照组,差异均有统计学意义(P<0.05)。治疗前,两组SF-36量表各维度评分比较,差异均无统计学意义(P>0.05);治疗后,两组SF-36量表各维度评分均高于治疗前,且研究组均高于对照组,差异均有统计学意义(P<0.05)。研究组护理总满意度为95.00%,高于对照组的75.00%,差异有统计学意义(P<0.05)。结论:在老年广泛性焦虑障碍患者的基础护理上予以正念减压治疗联合团体健康教育,可以减轻患者的焦虑程度,改善抑郁等负性情绪,有助于提高患者的生活质量。

Spectrum Sensing via Temporal Convolutional Network

In this paper,we investigate a spectrumsensing system in the presence of a satellite,where the satellite works as a sensing node.Considering the conventional energy detection method is sensitive to the noise uncertainty,thus,a temporal convolutional network(TCN)based spectrum-sensing method is designed to eliminate the effect of the noise uncertainty and improve the performance of spectrum sensing,relying on the offline training and the online detection stages.Specifically,in the offline training stage,spectrum data captured by the satellite is sent to the TCN deployed on the gateway for training purpose.Moreover,in the online detection stage,the well trained TCN is utilized to perform real-time spectrum sensing,which can upgrade spectrum-sensing performance by exploiting the temporal features.Additionally,simulation results demonstrate that the proposed method achieves a higher probability of detection than that of the conventional energy detection(ED),the convolutional neural network(CNN),and deep neural network(DNN).Furthermore,the proposed method outperforms the CNN and the DNN in terms of a lower computational complexity.

研究护理干预对老年广泛性焦虑症患者焦虑情绪及睡眠质量的影响

目的研究护理干预对老年广泛性焦虑症患者焦虑情绪及睡眠质量的影响。方法共100例老年广泛性焦虑症患者来到我院进行治疗,将其分为干预组和常规组。常规组进行常规的护理,干预组实行有效的护理干预,比较两组患者的SAS评分、SDS评分以及PSQI评分。结果进行干预前,两组患者的SAS评分和SDS评分相近,差异无统计学意义(P>0.05),干预后,干预组的SAS评分和SDS评分要低于常规组,PSQI各项评分以及总分相比常规组都要更低,差异具有统计学意义(P<0.05)。结论老年性广泛性焦虑症所导致的睡眠障碍中,采用良好的临床护理,能够有效改善患者的心理情况以及睡眠质量,具有较好的效果,值得推广。

Meso-Cenozoic Tectonothermal History of Permian Strata, Southwestern Weibei Uplift: Insights from Thermochronology and Geothermometry

This study provides an integrated interpretation for the Mesozoic-Cenozoic tectonothermal evolutionary history of the Permian strata in the Qishan area of the southwestern Weibei Uplift,Ordos Basin.Apatite fission-track and apatite/zircon(U-Th)/He thermochronometry,bitumen reflectance,thermal conductivity of rocks,paleotemperature recovery,and basin modeling were used to restore the Meso-Cenozoic tectonothermal history of the Permian Strata.The Triassic AFT data have a pooled age of^180±7 Ma with one age peak and P(χ2)=86%.The average value of corrected apatite(U-Th)/He age of two Permian sandstones is^168±4 Ma and a zircon(U-Th)/He age from the Cambrian strata is^231±14 Ma.Bitumen reflectance and maximum paleotemperature of two Ordovician mudstones are 1.81%,1.57%and^210℃,~196℃respectively.After undergoing a rapid subsidence and increasing temperature in Triassic influenced by intrusive rocks in some areas,the Permian strata experienced four cooling-uplift stages after the time when the maximum paleotemperature reached in late Jurassic:(1)A cooling stage(~163 Ma to^140 Ma)with temperatures ranging from^132℃to^53℃and a cooling rate of^3℃/Ma,an erosion thickness of^1900 m and an uplift rate of^82 m/Ma;(2)A cooling stage(~140 Ma to^52 Ma)with temperatures ranging from^53℃to^47℃and a cooling rate less than^0.1℃/Ma,an erosion thickness of^300 m and an uplift rate of^3 m/Ma;(3)(~52 Ma to^8 Ma)with^47℃to^43℃and^0.1℃/Ma,an erosion thickness of^500 m and an uplift rate of^11 m/Ma;(3)(~8 Ma to present)with^43℃to^20℃and^3℃/Ma,an erosion thickness of^650 m and an uplift rate of^81 m/Ma.The tectonothermal evolutionary history of the Qishan area in Triassic was influenced by the interaction of the Qinling Orogeny and the Weibei Uplift,and the south Qishan area had the earliest uplift-cooling time compared to other parts within the Weibei Uplift.The early Eocene at^52 Ma and the late Miocene at^8 Ma,as two significant turning points after which both the rate of uplift and the rate of temperature changed rapidly,were two key time for the uplift-cooling history of the Permian strata in the Qishan area of the southwestern Weibei Uplift,Ordos Basin.

Analytical workload dependence of self-heating effect for SOI MOSFETs considering two-stage heating process

Dynamic self-heating effect(SHE)of silicon-on-insulator(SOI)MOSFET is comprehensively evaluated by ultrafast pulsed I-V measurement in this work.It is found for the first time that the SHE complete heating response and cooling response of SOI MOSFETs are conjugated,with two-stage curves shown.We establish the effective thermal transient response model with stage superposition corresponding to the heating process.The systematic study of SHE dependence on workload shows that frequency and duty cycle have more significant effect on SHE in first-stage heating process than in the second stage.In the first-stage heating process,the peak lattice temperature and current oscillation amplitude decrease by more than 25 K and 4%with frequency increasing to 10 MHz,and when duty cycle is reduced to 25%,the peak lattice temperature drops to 306 K and current oscillation amplitude decreases to 0.77%.Finally,the investigation of two-stage(heating and cooling)process provides a guideline for the unified optimization of dynamic SHE in terms of workload.As the operating frequency is raised to GHz,the peak temperature depends on duty cycle,and self-heating oscillation is completely suppressed.

Identification of novel small-molecule inhibitors of SARS-CoV-2 by chemical genetics

There are only eight approved small molecule antiviral drugs for treating COVID-19.Among them,four are nucleotide analogues(remdesivir,JT001,molnupiravir,and azvudine),while the other four are protease inhibitors(nirmatrelvir,ensitrelvir,leritrelvir,and simnotrelvir-ritonavir).Antiviral resistance,unfavourable drug‒drug interaction,and toxicity have been reported in previous studies.Thus there is a dearth of new treatment options for SARS-CoV-2.In this work,a three-tier cell-based screening was employed to identify novel compounds with anti-SARS-CoV-2 activity.One compound,designated 172,demonstrated broad-spectrum antiviral activity against multiple human pathogenic coronaviruses and different SARS-CoV-2 variants of concern.Mechanistic studies validated by reverse genetics showed that compound 172 inhibits the 3-chymotrypsin-like protease(3CLpro)by binding to an allosteric site and reduces 3CLpro dimerization.A drug synergistic checkerboard assay demonstrated that compound 172 can achieve drug synergy with nirmatrelvir in vitro.In vivo studies confirmed the antiviral activity of compound 172 in both Golden Syrian Hamsters and K18 humanized ACE2 mice.Overall,this study identified an alternative druggable site on the SARS-CoV-23CLpro,proposed a potential combination therapy with nirmatrelvir to reduce the risk of antiviral resistance and shed light on the development of allosteric protease inhibitors for treating a range of coronavirus diseases.

彬县-铜川地区延长组油页岩晚白垩世以来的抬升剥蚀与冷却历史

利用古温标与热年代学数据共同恢复油页岩的隆升冷却历史对于研究油页岩成矿的热背景有着重要的理论意义.利用钻孔ZK900磷灰石(U-Th)/He测年数据,结合已有的永参1井磷灰石裂变径迹资料分别获得铜川地区和彬县地区延长组油页岩晚白垩世以来的古地温、抬升冷却期次、抬升冷却速率及剥蚀厚度等数据,并对比了两个地区油页岩经历的构造热演化史的差异性.ZK900钻孔长6、长9和长10段磷灰石He年龄均值依次为43.83Ma、31.87Ma和22.88Ma.铜川地区油页岩晚白垩世以来经历了97~40Ma快速抬升、40~8Ma缓慢抬升和8Ma以来快速抬升3个阶段,剥蚀厚度及抬升速率分别为600m、10.5m/Ma,10m、0.3m/Ma和1 290m、161.3m/Ma,对应的古温度及冷却速率分别为100~60℃、0.70℃/Ma,60~50℃、0.22℃/Ma和50~25℃、2.90℃/Ma.彬县地区延长组油页岩晚白垩世以来经历了3期抬升冷却过程:97~40Ma,持续抬升冷却(130~75℃),冷却速率为0.96℃/Ma,抬升速率为14.4m/Ma,剥蚀厚度820m;40~8 Ma温度基本未变(75~70℃),抬升/冷却速率均很低,分别为1.9m/Ma与0.16℃/Ma,剥蚀厚度60m;8Ma以来急剧降温(70~31℃),抬升速率125m/Ma,冷却速率4.88℃/Ma,剥蚀厚度1 000m.彬县-铜川地区三叠系油页岩晚白垩世以来经历了3个抬升阶段,始新世40Ma和中新世8Ma为该套油页岩成矿后期冷却的关键时刻.研究表明,彬县地区和铜川地区抬升冷却和剥蚀历史具有一定的差异性,在今后油页岩成矿及后期改造研究中应区别分析.

Catalytic asymmetric dipolar cycloadditions of indolyl delocalized metal-allyl species for the enantioselective synthesis of cyclopenta[b]indoles and pyrrolo[1,2-α]indoles

The development of novel synthons and efficient methods to synthesize chiral polycyclic indoles has been a hot topic in organic synthesis and medicinal chemistry owing to their broad applications in medicines,pesticides,and other functional molecules.Here,we disclosed novel indolyl substituted metal-allyl zwitterionic intermediates through the decarboxylation of conveniently available vinyl indoloxazolidones,which could be regarded as two types of dipolar species through the anionic delocalization.The palladium-π-allyl species tended to serve as an all-carbon 1,3-dipole in the asymmetric[3+2]cycloaddition with electrondeficient alkenes,which furnished polysubstituted cyclopenta[b]indoles with high regio-and stereoselectivities.Meanwhile,the iridium-π-allyl species was recognized as an aza-1,3-dipole in asymmetric[3+2]cycloaddition with in situ generated C1 ammonium enolates,affording pyrrolo[1,2-α]indoles with high diastereo-and enantioselectivities.In addition,the dipolar cycloadditions could be easily scaled-up and several synthetic transformations of the cycloadducts were demonstrated for the rapid synthesis of diverse chiral polycyclic indoles.

基于集合卡尔曼滤波的高机动救援车辆主动悬挂控制方法

针对高机动救援车辆提出一种主动悬挂系统控制策略——基于集合卡尔曼滤波技术的模型预测控制策略(EnKF-MPC)。首先,对高机动救援车辆主动悬挂系统进行动力学建模,通过集合卡尔曼滤波技术完成车辆动力学系统和车载组合导航系统的数据融合,实现车辆位姿信息的精确估计;针对组合导航系统垂向位移误差较大的问题,设计了点云匹配算法,完成车辆垂向位移信息的精确评估。其次,提出了模型预测控制策略,将集合卡尔曼滤波算法得到的车辆位姿信息和车载雷达系统获取的道路信息作为系统输入对车辆主动悬挂系统进行实时控制。最后,进行了实车验证,结果表明,提出的车辆位姿估计算法垂向位移误差为±3.100 cm,俯仰角误差为±0.175°,侧倾角误差为±0.210°。相比于被动悬挂,提出的主动悬挂控制方法垂向位移均方根平均值降低37%,俯仰角度均方根平均值降低35%,侧倾角度均方根平均值降低35%,显著提升了车辆的行驶平顺性和操纵稳定性。

Different Burial-Cooling History of Triassic Strata between the Western Weibei Uplift and the Northwestern Weihe Basin in Northwest China

Analysis of tectonothermal history of the Yanchang Formation in the western Weibei Uplift and in the northwestern Weihe Basin can reconstruct the cooling history of the southwest most remained Upper Triassic source rock of the North China Plate. Apatite fission-track(AFT) and(U-ThSm)/He(AHe) analysis were used to recover the cooling and uplift history of the Upper Triassic here. Ten sandstones from the Middle–Upper Triassic strata yield AFT ages between 179.8 ± 7.4 and 127.6 ± 8.1 Ma. AHe ages of two sandstones have the value of 37.7 ± 2.3–131.1 ± 8.1 and 45.7 ± 2.8–83.5 ± 5.2 Ma. Time-temperature modeling results showed that tectonothermal history of the Yanchang Formation was initially different in time-space relationships but then became almost identical through time followed by different cooling rate. Modeling results of the Triassic strata in the Qianyang area and the Yaojiagou area revealed three different uplift-cooling stages commencing in the Late Jurassic at ~165 Ma and in Early Cretaceous at ~110 Ma, respectively, both followed by first similar cooling histories to the Early Miocene at ~20 – 23 Ma and then different since the Late Miocene. Uplift-cooling rate since the Late Miocene at ~8 Ma were different between the Western Weibei Uplift and the Northwestern Weihe Basin. The timing, cooling-uplift rates of the Yaojiagou area, which was mainly controlled by movements related to the Liupanshan Mountains, the Qinling Orogens and the Weibei Uplift, had the earliest onset of uplift-cooling for the Upper Triassic series compared to other regions within the Weibei Uplift. Cooling paths for the Upper Triassic series became uniform regionally in the Early Cretaceous marking a key time for the tectonothermal evolutionary history of Upper Triassic series in the southwestern North China Plate.

Modeling and analysis of landing collision dynamics for a shipborne helicopter

A Lagrange dynamic model is established based on small-angle approximation to improve the simulation model for shipborne helicopter landing collision.To describe fuselage motion effectively,the proposed model considers ship motion,the interaction of the tires with the deck,and tire slippage.A mechanism of sliding motion is built,and a real-time reliability analysis of the algorithm is implemented to validate the proposed model.Numerical simulations are also conducted under different operation conditions.Results show that the proposed dynamic model can simulate the collision motion of helicopter landing in real time.Several suggestions for helicopter pilot landing are likewise provided.

Emma:An accurate,efficient,and multi-modality strategy for autonomous vehicle angle prediction

Autonomous driving and self-driving vehicles have become the most popular selection for customers for their convenience.Vehicle angle prediction is one of the most prevalent topics in the autonomous driving industry,that is,realizing real-time vehicle angle prediction.However,existing methods of vehicle angle prediction utilize only single-modal data to achieve model prediction,such as images captured by the camera,which limits the performance and efficiency of the prediction system.In this paper,we present Emma,a novel vehicle angle prediction strategy that achieves multi-modal prediction and is more efficient.Specifically,Emma exploits both images and inertial measurement unit(IMU)signals with a fusion network for multi-modal data fusion and vehicle angle prediction.Moreover,we design and implement a few-shot learning module in Emma for fast domain adaptation to varied scenarios(e.g.,different vehicle models).Evaluation results demonstrate that Emma achieves overall 97.5%accuracy in predicting three vehicle angle parameters(yaw,pitch,and roll),which outperforms traditional single-modalities by approximately 16.7%-36.8%.Additionally,the few-shot learning module presents promising adaptive ability and shows overall 79.8%and 88.3%accuracy in 5-shot and 10-shot settings,respectively.Finally,empirical results show that Emma reduces energy consumption by 39.7%when running on the Arduino UNO board.