Miracle-dz/UniFAR-FTUs huggingface dataset:
Fault Diagnosis of Submersible Motor on Offshore Platform Based on Multi-Signal Fusion

As an important production equipment of the offshore platform, the operation reliability of submersible motors is critical to oil and gas production, natural gas energy supplies, and social and economic benefits, etc. In order to realize the health management and fault diagnosis of submersible motors, a motor fault-monitoring method based on multi-signal fusion is proposed. The current signals and vibration signals were selected as characteristic signals. Through fusion correlation analysis, the correlation between different signals was established to enhance the amplitude at the same frequency, so as to highlight the motor fault characteristic frequency components, reduce the difficulty of fault identification, and provide sample data for motor fault pattern identification. Furthermore, the wavelet packet node energy analysis and back propagation neural network were combined to identify the motor faults and realize the real-time monitoring of the operating status of the submersible motor. The genetic algorithm was used to optimize the parameters of the neural network model to improve the accuracy of motor fault pattern recognition. The results show that the combination of multi-signal fusion monitoring and an artificial intelligence algorithm can diagnose motor fault types with high confidence. This research originally proposed the fusion correlation spectrum technology, which solved the shortcomings of the small amplitude and complex composition of the single signal spectrum components in the fault diagnosis and improved the reliability of the fault diagnosis. It further combined the neural network to realize the automatic monitoring and intelligent diagnosis of submersible motors, which has certain application value and inspiration in the field of electrical equipment intelligent monitoring.
Fine arts creative skills of elementary school students: An analytical demonstration of the role of stratum

The following article presents the results of research whose purpose was the analysis of the level of artistic creativity and fine arts development among eighth-grade students of different elementary schools in the northeastern part of Slovenia. We have monitored the level of artistic creativity and analysed the differences in fine arts creative skills from the viewpoint of six factors of artistic creativity: originality, flexibility, fluency, redefinition, elaboration and sensibility for artistic problems. Consistent with these factors, our focus was on the differences in the stratum, as we have noticed a lack of research analysing creative abilities from the point of view of the students' environment. Thus, the research aimed to shed light upon the impact of quality art educational work on the development of fine arts creative skills and creativity, especially among students of higher age. In doing so, the fact about the environment students come from was disregarded. The results of the research show discrepancies with previous research, as we found statistically significant differences in the factors of art elaboration, sensibility for artistic problems and fluency, with the suburban students being more successful. For this reason, there are further tendencies to carry out an in-depth analysis of this indicator in the mentioned age group.
A New Approach for Fault Section Diagnosis of Distribution System Based on Data Mining Model

Considering the working condition of feeder terminal units in practical application of fault section diagnosis for distribution networks,the damage of FTU elements and the distortion of information are unavoidable,and incorrect diagnosis may be caused by distorted fault patterns.This paper presents a data mining method,which is based on the combination of rough set(RS) theory and genetic algornhm(GA),to deal with distorted information and carry out the fault section diagnosis of distribution networks.In this approach,RS is used to analyze the generalized fault knowledge region and GA is used to mine the redundant relation and internal relevant rules among input information and fault section diagnosis results The high fault to1erance performance of the proposed approach is proved through comparison with that of feedforward neural networks model based fault section diagnosis.
Study on 3D-interaction and analytical techniques for solid models of geological entities

Visualization and analytical techniques for the solid models of geological entities are the intuitionistic,convenient approaches to express complicated geological structures and property parameters inside the geological body.In 3D geological modeling,it is one of the most important research fields that focus on visualization representation and analysis of the complicated geological data,interactive revelation and analysis for 3D geological models.This paper introduces the general operations for 3D-interaction of the solid models of geological entities.It expounds the interactive and analytical technique for the 3D geological model.It realizes several visual operations on 3D geological model including geometric transformation,spotting and the measurement of property value in any spatial position,slice up,virtual drilling,virtual roam,the excavation of foundation pit and tunnel.Those operations,which are based on software-oriented techniques,use 2D devices such as keyboard and mouse to the simulation of 3D spatial data,and will increase the comprehension of 3D geological model.
A Systematic Review of the Design and Heat Transfer Performance of Enhanced Closed-Loop Geothermal Systems

Geothermal energy is one of the primary sources of clean electricity generation as the world transitions away from fossil fuels. In comparison to enhanced geothermal methods based on artificial fracturing, closed-loop geothermal systems (CLGSs) avoid seismicity-induced risk, are independent of reservoir permeability, and do not require the direct interaction between the fluid and the geothermal reservoir. In recent years, the development of CLGS technologies that offer high energy efficiencies has been explored. Research on coaxial closed-loop geothermal systems (CCLGS) and U-shaped closed-loop geothermal system (UCLGS) systems were reviewed in this paper. These studies were categorized based on their design, modeling methods, and heat transfer performance. It was found that UCLGSs had superior heat transfer performances compared to CCLGS. In addition, UCLGSs that utilized CO2 as a working fluid were found to be promising technologies that could help in addressing the future challenges associated with zero-emission compliance and green energy demand. Further research to improve the heat transfer performance of CLGS, especially with regards to improvements in wellbore layout, equipment sizing, and its integration with CO2 capture technologies is critical to ensuring the feasibility of this technology in the future.
A new fault recorder based on DSP+MCU double CPUs

The principles, structure and characteristics of a new fault recorder based on the technology of DSP+MCU double CPUs are described. The embedded and CPLD technologies are used in the device. The recorder has some advantages, such as high-speed samplings, high-accuracy measurement, continuous phase recording and recurring, and longtime fault recording, et al. If synchronoussampling based on the GPS is used in the devices, a dynamic monitoring and control system for power network will be erected.
Design of Diode Laser Stable Output's Control System

High-stability output's system of diode laser is introduced.The system is based on the MCU of MSP430 according to the characteristic of diode laser,which is composed of stable current sourse,temperature control system,light power feedback system and so on.It can protect and control the diode at the real time,show and set the output's power.The software of slow starting up,slow closing and the protecting relay are adopted.The power stability can be up to 0.12%.
Fixed-Time Formation Tracking for Heterogeneous Multiagent Systems Under Actuator Faults and Directed Topologies

This article investigates the problem of fixed-time formation tracking control for a heterogeneous multiagent system composed of unmanned aerial vehicles and unmanned ground vehicles in the presence of actuator faults, model uncertainties, and external disturbances. First, two fixed-time distributed observers are proposed, one of which is applied to detail-balanced directed graph and the other is applied to general directed graph. These two observers remove the requirements of global information and control signal of leader, as well as reduce communication flow. Second, a fixed-time disturbance observer is designed for each follower to estimate lumped uncertainties. Third, a Lyapunov-based formation controller is proposed to guarantee that the fixed-time synchronized formation is achieved for heterogeneous multiagent systems using estimation and backstepping technique. Furthermore, the obtained upper bound of convergence time only depends on the observer gains and controller parameters, which facilitates the adjustment of the settling time offline regardless of initial conditions under different formation requirements. Finally, the effectiveness of the proposed fixed-time protocol is verified using numerical simulations.
Measurement of pressure and temperature in exhaust jet during launching stage of rocket

Impinging effect of rocket exhaust jet should be considered comprehensively in overall design of rocket weapon system. Rational design for structure and strength of the equipment in shock-affect zone according to exhaust jet characteristics can help to achieve effective flow bypass and protection function. Flow parameters of exhaust jet on a lean steel platform were measured in the experiment during a practical launching. The maximum stagnation pressure and temperature, and distribution of pressure and temperature exhaust jet on the platform were obtained. The dangerous zone behind launch tube is determined from these data.
Augmented ERAD (ER-associated degradation) activity in chondrocytes is necessary for cartilage development and maintenance

Chondrocytes secrete massive extracellular matrix (ECM) molecules that are produced, folded, and modified in the endoplasmic reticulum (ER). Thus, the ER-associated degradation (ERAD) complex—which removes misfolded and unfolded proteins to maintain proteostasis in the ER— plays an indispensable role in building and maintaining cartilage. Here, we examined the necessity of the ERAD complex in chondrocytes for cartilage formation and maintenance. We show that ERAD gene expression is exponentially increased during chondrogenesis, and disruption of ERAD function causes severe chondrodysplasia in developing embryos and loss of adult articular cartilage. ERAD complex malfunction also causes abnormal accumulation of cartilage ECM molecules and subsequent chondrodysplasia. ERAD gene expression is decreased in damaged cartilage from patients with osteoarthritis (OA), and disruption of ERAD function in articular cartilage leads to cartilage destruction in a mouse OA model.
Designed Circularly Polarized Two-Port Microstrip MIMO Antenna for WLAN Applications

The proposed work describes a corner square-cut square-patch multiple-input multiple-output (MIMO) antenna with reduced mutual coupling for circular polarization (CP). A two-port MIMO-CP antenna was designed and operated at 5.6 GHz for wireless local area network (WLAN) applications. The dimensions of the MIMO-CP antenna were 22.5×50mm2(0.43λ0×0.933λ0) and the FR4 substrate height was 1.6 mm. Between the two-elements, the edge-to-edge distance was 12.2 mm (0.227 λ0), where λ0 was the free space wavelength at 5.6 GHz. A slot was created in the middle of the ground in the proposed MIMO antenna to reduce mutual coupling and improve CP. The ground slot improves impedance matching and provides a better S-parameter and axial ratio (AR), according to the antenna results. According to the simulated results, the proposed antenna bandwidth of 5.23–6.42 GHz (21.4%) for S11 were <−10 dB, isolation was −37 dB with a peak gain of 6 dB and AR ≤3 dB from 5.37 to 5.72 GHz (6.25%). The proposed antennas are simple to fabricate, have low profiles, are inexpensive, have good isolation, and are CP. The diversity gain (DG) and envelop correlation coefficient (ECC) results are better in the simulated frequency band. A MIMO-CP antenna geometry prototype is built and measured for comparison, yielding good results when compared to the simulated and measured results. The MIMO-CP antenna, as designed, is suitable for WLAN applications.
Development and Characterization of 35 SNP Markers in the Fat Greenling Hexagrammos Otakii

Hexagrammos otakii is an important kind of economic fish species in East Asia. However, wild H. otakii resources have declined sharply in recent years as a result of human disturbance and habitat destruction. Thus, it is crucial to protect the current resources of H. otakii. In this study, 35 novel single nucleotide polymorphism (SNP) markers were developed based on restriction-site associated DNA sequencing. The results showed that the observed heterozygosity and expected heterozygosity ranged from 0.1875 to 0.6562 and 0.2679 to 0.5079, respectively. The minor allele frequency raged from 0.1875 to 0.4375. Polymorphic information content ranged from 0.229 to 0.375. Six SNPs were found to be deviated significantly from the HWE (P < 0.05). These SNP markers will serve as a useful tool for genetic studies and population evaluation aimed at the conservation of H. otakii.
Vector control reduces the rate of species invasion in the world's largest freshwater ecosystem

The Great Lakes‐St Lawrence River basin is the world's most invaded freshwater system. Ballast water release from transoceanic shipping is deemed responsible for 65% of invasions in the basin since the modern St. Lawrence Seaway opened in 1959. Regulations requiring mid‐ocean exchange of ballast water applied in 1993 failed to stem ship‐mediated invasions because the procedure was not mandated for all ships. In 2006 and 2008, Canada and the United States, respectively, mandated that all transoceanic ships should conduct open ocean flushing to ensure that partially filled ballast tanks intended for discharge into the Great Lakes contained water of salinity ≥30 ppt before entering the Seaway. These regulations have been strictly enforced through record inspections and tests of ballast tank salinities of inbound ships. Before‐and‐after comparisons of total organismal abundance and species richness in ballast tanks revealed a substantial reduction in invasion risk from ships that conducted saltwater flushing. Since 2006, the rate of discovery of newly established non‐native species in the Great Lakes declined by 85% to its lowest level in two centuries. While multiple factors could plausibly contribute to this decline, empirical evidence supports the 2006/2008 ballast water regulation as the primary cause, highlighting the benefit of internationally coordinated vector control.
Hydraulic Anchorage Manipulator for Railway Vehicles

In view of the anchorage requirements of railway vehicles in the ports,factories and mines,the hydraulic anchorage manipulator for railway vehicles is developed.The maximum anchorage force of the manipulator is 450 kN,and every part of the manipulator is no higher than rail surface in non-operating mode.The manipulator is driven by fluid power and composed of lifting arm,extension arm and end effector,where lifting arm is double-pole-structure four-bar mechanism.And strength check is accomplished for critical components such as the hydraulic extension cylinders and support bars,etc.Energy saving design method is applied to hydraulic system,therefore hydraulic locks are used to lock the position of the manipulator.Procedure interlocking control and stroke-time joint redundancy control are used to guarantee system reliability.The field operation indicats that,in the horizontal range of 1.5 m,the manipulator can automatically search position in the operating space,connect or disconnect with hooks,determine and lock position.The design objectives as well as safety and efficiency in production are achieved.
The DOE E3SM v1.2 Cryosphere Configuration: Description and Simulated Antarctic Ice‐Shelf Basal Melting

The processes responsible for freshwater flux from the Antarctic Ice Sheet (AIS), ice‐shelf basal melting and iceberg calving, are generally poorly represented in current Earth System Models (ESMs). Here we document the cryosphere configuration of the U.S. Department of Energy's Energy Exascale Earth System Model (E3SM) v1.2. This includes simulating Antarctic ice‐shelf basal melting, which has been implemented through simulating the ocean circulation within static Antarctic ice‐shelf cavities, allowing for the ability to calculate ice‐shelf basal melt rates from the associated heat and freshwater fluxes. In addition, we added the capability to prescribe forcing from iceberg melt, allowing for realistic representation of the other dominant mass loss process from the AIS. In standard resolution simulations (using a noneddying ocean) under preindustrial climate forcing, we find high sensitivity of modeled ocean/ice shelf interactions to the ocean state, which can result in a transition to a high basal melt regime under the Filchner‐Ronne Ice Shelf (FRIS), presenting a significant challenge to representing the ocean/ice shelf system in a coupled ESM. We show that inclusion of a spatially dependent parameterization of eddy‐induced transport reduces biases in water mass properties on the Antarctic continental shelf. With these improvements, E3SM produces realistic ice‐shelf basal melt rates across the continent that are generally within the range inferred from observations. The accurate representation of ice‐shelf basal melting within a coupled ESM is an important step toward reducing uncertainties in projections of the Antarctic response to climate change and Antarctica's contribution to global sea‐level rise.
PHENOLIC CONTENT AND ANTIOXIDANT CAPACITY OF VISCUM ALBUM LEAVES AND TWIGS FROM VARIOUS HOST TREES

UDK: 547.56:582.728. 4 Phenolic compounds content and antioxidant capacity from Viscum album ssp. album Beck. leaves and twigs extracts were determined. Common mistletoe was collected from four hosts (Crataegus monogyna, Malus domestica, Prunus cerasifera, and Populus x canadensis.). Folin-Ciocalteu method, AlCl3 method, method with Arnow reagent, and acid-butanol assay were applied for determination of total phenols, flavonoids, phenolic acids and proanthocyanidins respectively. DPPH, ABTS and FRAP methods were applied in the determination of antioxidant capacity of the extracts. Total phenols were in the range 7.16-11.70 mg GAE/g DW, flavonoids 2.115-4.668 mg RE/g DW, phenolic acids 0.811-1.789 mg caffeic CAE/g DW, and proanthocyanidins 0.71-2.62 mg LCE/g DW. Content of phenols and flavonoids was higher in the leaves than the twigs. The highest antioxidant capacity in leaves (50.86-65.93 µmol Trolox equivalents/g DW) was determined for mistletoe collected from Crataegus monogyna while the highest capacity in twigs had mistletoe collected from Malus domestica (67.28-81.72 µmol Trolox equivalents/g DW). Also, high correlation has been noticed between total phenols, flavonoids, phenolic acids and antioxidant capacity for V. album leaves. For twigs, high correlation was obtained between phenols and antioxidant capacity, and in some moderate extends for proanthocyanidins.
Systematic identification of the main constituents from Agrimonia pilosa Ledeb. and their metabolites in rats using HPLC-Q-TOF-MS/MS.

Agrimonia pilosa is a perennial herbaceous flowering plant, commonly known as agrimony or hairy agrimony. The dried aerial parts of this species have been widely used for the treatment of acute diarrhea, hemostasis, and other inflammation-related diseases. However, information on the in vivo metabolism of A. pilosa constituents is limited. In this study, the phytochemical profile of A. pilosa was investigated using HPLC-Q-TOF-MS/MS combined with a nontargeted diagnostic ion network analysis strategy. An information-dependent acquisition method with multiple filters was utilized to screen possible prototypes and metabolites in complex biological matrices. Furthermore, various data-processing techniques were applied to analyze possible prototypes and their metabolites in rat plasma, feces, and urine following oral administration of A. pilosa extract. A total of 62 compounds, which belonged to five main structural classes (21 phenols, 22 flavonoids, 6 coumarins, 3 triterpenes, and 10 organic acids), were tentatively identified in A. pilosa. In addition, using our proposed stepwise method, 32 prototypes and 69 metabolites were detected in rat plasma, feces, and urine. The main metabolic pathways after the oral administration of A. pilosa extract were revealed to include methylation, dihydroxylation, demethylation, hydrolysis, sulfation, and glucuronidation. This comprehensive in vivo and in vitro identification of the possible active components in A. pilosa could provide a basis for understanding its various pharmacological activities.
A Semi-Supervised 3D Indoor Localization Using Multi-Kernel Learning for WiFi Networks

Indoor localization is an important issue for indoor location-based services. As opposed to the other indoor localization approaches, the radio frequency (RF) based approaches are low-energy solutions with simple implementation. The kernel learning has been used for the RF-based indoor localization in 2D environment. However, the kernel learning has not been used in 3D environment. Hence, this paper proposes a multi-kernel learning scheme for 3D indoor localization. Based on the signals collected in the area of interest, the WiFi signals with better quality and closer to the user are selected so as to reduce the multipath effect and the external interference. Through the construction of multi-kernel, the localization accuracy can be improved as opposed to the localization based on the single kernel. We build multiple kernels to get the user’s location by collecting wireless received signal strengths (RSS) and signal-to-noise ratios (SNR). The kernel learning maps data to high dimension space and uses the optimization process to find the surface where the data are mapped. By multi-kernel training, the surface is fine-tuned and eventually converges to form the location database during the mapping process. The proposed localization scheme is verified by the real RSS and SNR collected from multiple wireless access points (AP) in a building. The experimental results verify that the proposed multi-kernel learning scheme performs better than the multi-DNN scheme and the existing kernel-based localization schemes in terms of localization accuracy and error in 3D indoor environment.