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High-order wave mixing in solid-state platforms gather increasing importance due to the development of advanced lasers and integrated photonic circuit for both classical and quantum information. However, the high-order wave mixing is generally inefficient in solids under weak pump. Here, we observed the presence of phase matching of five-wave mixing (5WM) propagating in a zinc oxide (ZnO) microwire. The 5WM signal is enhanced by 2–3 orders of magnitude under the phase matching conditions, reaching an absolute conversion efficiency of 1.7 × 10−13 when the peak pumping power density is about 106 W/cm2. The propagation of multiple nonlinear signals, including sum frequency generation, third harmonic generation, four-wave mixing etc., benefited from both the large nonlinear coefficients and the wide transparent window of ZnO, implies the possibility of developing cascaded nonlinear process under higher pumping. This study enriches the ZnO platform for integrated nonlinear nanophotonics.

Geological outcrop is usually the first-hand evidence to cognize the probable geometry, lateral extent, and other properties of conglomeratic channels. If there is no exposure of formation, however, it is hard to recognize elaborate architectural elements just based on poor coverage cores and low-resolution conventional logs vertically. In order to understand vertical distributions of conglomeratic channel architectural elements in the Lower Triassic Baikouquan Formation in southern slope of Mahu Sag, ultrahigh-resolution microresistivity image logs are used to recognize elements under the concept of conglomeratic channel architectures in this article. The microresistivity images were calibrated with cores in different grain-sizes and sedimentary structures. According to microresistivity image fabric, subaerial channel-fills consisted of granules to cobbles; subaqueous channel-fills were composed of well-sorted sandstones to granules. Subaerial channel-margins comprised sandstones to pebbles; subaqueous channel-margins were granules and sandstones. Bypass drapes, deposited from the tail of bypassing flows, were commonly eroded by overlying channel-fills. Convergent drapes, accumulated on top surfaces of channel-margins, preserved well without reworking. Overbank drapes, formed outside the channel, were thick-bedded. Combined with dipmeter pattern of microresistivity image log, six channel story sets were recognized depending on abrupt changes in dip azimuths. In each channel story set, per unit thickness of mud drapes ranged from 0.1 to 0.6 m. Mud drapes in channel story set 1 could be correlated horizontally. In channel story sets 3, 4, and 5, thickness of mud drapes ranged from 0.05 to 2.59 m and averaged at 0.59 m, and channel conglomerates and mud drapes alternated frequently. These understandings would provide important insights on the production potential of petroleum.

This paper first investigates the expressive features and developmental commonalities of Chinese modern and contemporary literary works, explains the paradoxical nature, and there are dilemmas in the expressive features by reviewing the data, and proposes the nationalized literary model and the cosmopolitan literary model, aiming to promote the development of Chinese modern and contemporary literature. Then, based on text mining techniques, atomic cuts are performed in the lowest fifth layer using Hidden Markov Models, and rough Chinese word splitting is performed using the n-shortest path method to find out the most likely n ambiguous word splitting results and text clustering analysis based on HMM-LDA topic models is performed on top of the splitting results. The results show that the HMM-LDA text recognition model is more accurate than the HMM text recognition model in terms of recall and accuracy of entity recognition in five categories of Chinese modern and contemporary literature: poetry, prose, drama, novel, and picture. Through this study, people gain a deeper understanding of modern and contemporary literature, gain some insight, and establish a foundation for promoting modern and contemporary literature.

The fatigue life testing of the precision reducer for industrial robots using the reciprocating swing method can better represent the damage of the reducer in actual work. However, during the reciprocating swing testing, the speed and its direction of the reducer are changing. Therefore, it is difficult to locate the fault source of the reducer by performing spectrum analysis on time domain vibration signal to locate the fault point. Thus, an order tracking analysis method is proposed. By re-sampling the non-stationary vibration signals collected during the reciprocating swing fatigue testing of the planetary cycloid reducer for the robot, the stable angle domain signal of the vibration signal is obtained by equal-angle resampling. The order analysis diagram of the vibration signal is obtained by fast Fourier transform of the stationary signal in the angle domain. At the same time, the order characteristics of the planetary gear, cycloid gear, crankshaft, needle roller and crank bearing of the reducer are analyzed. By establishing the relationship between the order analysis result of the vibration signal of the reducer and the characteristic order of each key component, the fault diagnosis of the planetary cycloid reducer under variable speed experimental conditions is realized. The results show that the order tracking analysis method can help locate the faults under time-varying conditions, and provide guidance and assistance for the rapid location of the failure of the swing fatigue experiment.

According to the characteristics of micro parts microscopic detection image, including the image texture is similar, the edge information is too little and the gray distribution Range is limited, based on the basic principles of algorithm, analyzes the traditional sharpness evaluation function. Aiming at the defect that the traditional sharpness evaluation function cannot have both high sensitivity and noise immunity, an algorithm based on local variance information entropy is proposed. The method uses the local variance to weight the self-information of each gray level, on the one hand, it makes up for the lack of spatial information of information entropy and avoids misjudgement of sharpness; on the other hand, it can increase the weights of clear region pixels when they participate in the calculation of information, while reducing the weights of background and noise region pixels, thereby improve the function sensitivity. The experimental results show that compared with the traditional sharpness evaluation function, the local variance information entropy function not only has high sensitivity, but also has better noise immunity and is suitable for actual auto-focusing systems.

Aiming at the various shortcomings of existing tool setting methods, this paper proposes a coaxial holographic tool setting method for tiny tools. Based on the research and analysis of the principle of holographic imaging and the key issues of holographic images, a set of holographic tool setting detection device for micro milling tool was built, and the micro milling tool measurement was carried out on the five-axis machining center using standard tools. experiment. Experimental results show that the tool setting device can efficiently perform tool setting detection of micro-milling tool. Compared with the measurement results of the high-precision external presetting instrument, the relative error of the contact tool setting instrument is 0.033%, and the relative error of the holographic tool setting prototype is 0.007%, which is more effective in realizing the tool setting of tiny tools. Detection. This result verifies the feasibility of the coaxial holographic tool setting method for micro tool, that is, holographic measurement can be used for high-precision tool setting of micro milling tool.

In order to overcome the problems of the classic RBAC model, such as user identity cannot be verified, role assignment conflicts, permission leakage, complicated roles and permissions configuration, etc., this paper proposes a dual-role hierarchical RBAC extended security model based on department attributes. Firstly, based on the identity authentication mechanism, the legality of the user identity used by the system and its department attributes are authenticated, and the legal identity users are associated with their departments. Then, the roles were divided into responsibility roles and system roles in the classic RBAC model, which are defined by the system administrator is responsible for configuring system roles according to the permission control requirements of resources and operations in the system. The person in charge of the department to which the user belongs configures the role for the user according to the actual work responsibilities of each user, and the person in charge of the department is responsible for the relationship between the role and the system. Finally, this dual-role hierarchical RBAC extended security model based on department attributes is applied to the authority management scheme of a power grid business system. The security analysis and practical results show that this dual-role hierarchical RBAC extended security model based on department attributes is a system rights management solution with strong security and practicability.

The paper analyzed WIA-PA communication protocols and conformance testing, and designed conformance testing platform for WIA-PA wireless communication according to WIA-PA communication protocols. It elaborated process of forward testing and reverse testing by a test case. The actual test results indicate that the conformance testing platform can detect whether the device meets WIA-PA standard protocol, and provide reliable assurance for application of WIA-PA equipment in actual industrial field.

The compound appressoria of Sclerotinia sclerotiorum can produce cell wall‐degrading enzymes, effectors and toxins, which promote penetration and the death of host cells. Subsequently, invasive hyphae (IH) branch rapidly as necrotrophic growth and disease symptoms are observed. S. sclerotiorum can respond to complex stresses and regulate its metabolism to adapt to the external environment. Here we demonstrated that type 2C Ser/Thr phosphatase (PP2C) SsPtc3 responds to nutritional, osmotic, cell wall and oxidative stresses. Loss of function ΔSsptc3 mutants displayed defects in mycelial growth, sclerotia formation and reduced virulence. Phosphoproteomic analyses revealed that SsPtc3 is involved in autophagy and MAPK signalling pathways. We obtained evidence that SsPtc3 negatively modulates the phosphorylation of SsSmk1. SsSmk1 is essential for mycelial growth, compound appressorium formation and pathogenicity, SsPtc3 modulated phosphorylation homeostasis of SsSmk1 to maintain hyphal growth. SsPtc3 interacted with SsAtg1 to influence autophagic flux under starvation. Taken together, these results reveal that SsPtc3 responds to various stresses that modulate autophagy and phosphorylation of SsSmk1‐MAPK, which facilitates the growth and virulence of S. sclerotiorum. [ABSTRACT FROM AUTHOR]