Miracle-dz/UniFAR-FTUs huggingface dataset:
LncRNAs NR-026690 and ENST00000447867 are upregulated in CD4+ T cells in patients with acute exacerbation of COPD

Objective The aim of the study was to determine the expression profile of long noncoding RNAs (lncRNAs) in CD4+ T cells from COPD patients and explore the clinical value of the lncRNAs. Methods First, microarray analysis was performed. Differentially expressed lncRNAs were validated by quantitative real-time reverse transcription-PCR (qRT-PCR) in samples from 56 patients with acute exacerbations of COPD (AECOPD), 56 patients with stable COPD, and 35 healthy controls. Meanwhile, the clinical value was tested by receiver operating characteristic curve analysis. The functions of lncRNAs were analyzed by the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes database. The potential target genes that might be regulated by NR-026690 and ENST00000447867 were identified by the lncRNA-mRNA network and competing endogenous RNA network. The transcriptional expression level of rap guanine nucleotide exchange factor 3 (RAPGEF3) was tested by qRT-PCR. The correlation of the expression between NR-026690, ENST00000447867, and RAPGEF3 was analyzed by Spearman’s correlation test. Results We found that the relative expression levels of ENST00000447867 and NR-026690 in the CD4+ T cells of AECOPD patients were significantly higher than in the stable COPD patients and control subjects by microarray and qRT-PCR validation. The transcriptional expression level of RAPGEF3 in the CD4+ T cells was significantly higher in the AECOPD group compared to the control group (P<0.01) and the stable COPD group (P<0.05). RAPGEF3 expression was positively associated with NR-026690 (r=0.4925, P<0.01) and ENST00000447867 (r=0.4065, P<0.01). Conclusion NR-026690 and ENST00000447867 might be potential biomarkers for COPD. They might affect RAPGEF3 as miRNA sponges to regulate COPD development.
A Fault Diagnosis Approach of Steer-by-Wire System

This paper presents an intelligent fault diagnostic approach for a steer-by-wire (SBW) system. A rough set model is utilized to reduce the redundant information. On the base of the reduction, the classifying rules can be extracted. A radical basis function (RBF) neural network optimized by particle swarm optimization (PSO) algorithm is designed to learn the fault rules that are extracted from the reduction of the redundant information. The proposed approach is simulated in MATLAB. Simulation results show that the proposed intelligent fault diagnostic algorithm provides a higher level of diagnostic accuracy than the approach without any optimization.
Stress and borehole stability

ABSTRACT Borehole and wellbore stability is a fundamental issue for natural resources production (hydrocarbons, water) as well as for subsurface storage and for scientific boreholes. This issue involves the in situ state of stress (often poorly known), rock mechanics behaviour, and drilling procedures. Many coupled physical mechanisms play a role: in situ stresses and pressures, variations in pore pressures and temperatures, and non-equilibrated physico-chemical processes arising in sensitive (swelling) shales. Useful results given by simple analysis tools are reviewed, along with case histories where mechanisms are considered and successful remedies proposed and implemented.
Behaviour of grounding systems excited by high impulse currents: the model and its validation

The behaviour of grounding systems excited by high impulse currents (such as lightning strokes or phase to ground faults) considerably differs from that at low-frequency and at low-current: inductive behaviour can become more and more important with respect to resistive behaviour and, in addition, these currents can generate soil breakdown (which makes the impulse response typically nonlinear). Many experimental tests confirm these aspects. In order to obtain a correct design of electrical systems, with respect to the protection of installations against anomalous events, it is fundamental to predict the impulse characteristics of grounding systems. An efficient solution to this problem may be obtained by a mathematical model based on a circuit approach. The development of this model (which is able to simulate complex grounding systems when nonlinear ionization phenomena take place) is described in this paper. The model has been validated by comparing the numerical results both with experimental tests and with the simulations executed by various approaches.
Efficiency Analysis of Command Networks with Cross-Level of Different Groups

With the increasing requirement on flattening the hierarchical structure of the military command networks, this paper studied the efficiency of the cross-level command style which is one of the most way to flatten current structure. We present a cross-level command of different groups model based on the tree network. According with it, we focused on two measurements, timeliness and invulnerability, to evaluate the command networks on different cross-level by the simulation experiments. Compared the results under two styles of attack strategies, the random attack and selecting attack, it showed that the new command networks with different cross-level are more efficient.
Hot-carrier-induced degradation in ultra-thin, fully-depleted, deep-submicron nMOS and pMOS SOI transistors

The hot-carrier-injected oxide region is systematically investigated for fully depleted surface-channel (SC) nMOS and SC- and buried-channel pMOSFETs fabricated on an ultra-thin (50 nm)-film SIMOX wafer. NMOSFET degradation is shown to be caused mainly by hot-carriers injected into the drain side of the front oxide and pMOSFET degradation by hot-electrons injected into the drain side of both the back oxide and the front oxide. It is shown experimentally for the first-time that these fully depleted devices with effective channel lengths of 0.1-0.2 /spl mu/m have fairly high hot-carrier immunity, even for single-drain structures. <<ETX>>
PROCESSO DECISÓRIO NA EXPLORAÇÃO E PRODUÇÃO DE PETRÓLEO

Este trabalho propoe a formulacao de modelos de negocios para apoiar o processo decisorio em organizacoes complexas. O processo decisorio e estudado, explorando-se os temas da racionalidade limitada, da estruturacao de problemas, dos modelos mentais, dos mundos virtuais e da modelagem como apoio a decisao. A dinâmica de sistemas e introduzida como um instrumento para a construcao de modelos, a identificacao de regras de decisao e sua comunicacao. E sugerida a abordagem ambiente-estrategia-recursos para a definicao de estrategias. E desenvolvido um modelo de negocios para as atividades do segmento exploracao e producao de petroleo, para proporcionar aos gerentes condicoes de decidir sobre estrategias que gerem vantagens competitivas ao conciliar as abordagens baseadas no mercado e em recursos. Conclui-se o trabalho com a descricao de estrategias, diretrizes e condicionantes relevantes para o processo de tomada de decisao.
Nanotechnology-Based Sensitive Biosensors for COVID-19 Prediction Using Fuzzy Logic Control

Increasing the growth of big data, particularly in healthcare-Internet of Things (IoT) and biomedical classes, tends to help patients by identifying the disease early through methods for the analysis of medical data. Hence, nanotechnology-based IOT biosensors play a significant role in the medical field. Problem. However, the consistency continues to decrease where missing data occurs in such medical data from nanotechnology-based IOT biosensors. Furthermore, each region has its own special features, which further lowers the accuracy of prediction. The proposed model initially reconstructs lost or partial data in order to address the challenge of handling the medical data structures with incomplete data. Methods. An adaptive architecture is proposed to enhance the computing capabilities to predict the disease automatically. The medical databases are managed by unpredictable environments. This optimized paradigm for diagnosis produces the fuzzy, genetically categorized decision tree algorithm. This work uses a normalized classifier namely fuzzy-based decision tree (FDT) algorithm for classifying the data collected via nanotechnology-based IOT biosensors, and this helps in the identification of nondeterministic instances from unstructured datasets relating to the medical diagnosis. The FDT algorithm is further enhanced by using genetic algorithms for effective classification of instances. Finally, the proposed system uses two larger datasets to verify the predictive precision. In order to describe a fuzzy decision tree algorithm based upon the fitness function value, a modified decision classification rule is used. The structure and unstructured databases are configured for processing. Results and Conclusions. This evaluation of test patterns helps to track the efficiency of FDT with optimized rules during the training and testing stages. The proposed method is validated against nanotechnology-based IOT biosensors data in terms of accuracy, sensitivity, specificity, and F -measure. The results of the simulation show that the proposed method achieves a higher rate of accuracy than the other methods. Other metrics relating to the model with and without feature selection show an improved sensitivity, specificity, and F -measure rate than the existing methods.
Three-phase, Five-level Multi-level Inverter Topology

Abstract This article reports a three-phase multilevel inverter topology. The multilevel inverter configuration generates voltage levels similar to the corresponding well-known conventional diode-clamped, flying capacitors and cascaded H-bridge inverters but with fewer power circuit components and simplicity. By optimizing the proposed switching patterns through analysis, the total harmonic distortion of the inverter output line voltage waveforms have been reduced. The validity of the proposed cascaded multilevel inverter is verified through simulation and experiments.
The effect of stress migration on electromigration in dual damascene copper interconnects

Interconnects in very large scale integration (VLSI) chips are susceptible to failure due to stress migration (SM) and electromigration (EM). At use condition, these two failure mechanisms play a collective role in causing interconnect failure. We present a study on SM and EM interaction in lower (MX structure) and upper metal (MX+1 structure) of dual-damascene Cu/low-κ interconnects. It is found that both mechanisms are dependent; statistical analysis shows that EM failure time is affected by the presence of residual stress induced by SM. This effect was more severe in the lower metal, where the EM median-time-to-failure (t50) for the majority of samples could be degraded by 30%–60%. For the upper metal of Cu interconnects, the t50 is degraded by about 10%. The reliability implication of the residual stress in copper interconnects on the EM is further investigated with various failure analysis techniques and three-dimensional finite element simulation. It is proposed that SM can influence EM when there i.
The Measurement of Environmental Performance and Economic Performance Based on Catastrophe Theory: Case Studies of Thermal Power Industry and Steel Industry in China

We employed catastrophe theory and entropy method to measure and compare the environmental performance and economic performance of 40 listed companies from the thermal power and steel industries in China, to explore their relationship. The results showed that the environmental performance of the steel industry was less than that of the thermal power industry, but their economic performance was similar. This means that steel industry has had lower resource use efficiency and more pollutant emission, and has a larger potential to saving resources, energy and environment pollution. Both the correlation analysis and regression analysis indicated that there existed a significant positive relationship between the environmental performance and economic performance of the steel industry and thermal power industry in China. This means that it is very possible to gain win-win situation of these two performances, if the listed companies tend to make advanced production and environment protection activities come into a benevolent cycle, by means of technology upgrading and transformation.
INTEGRATED APPROACH TO VEHICLE ROUTING AND CONGESTION PREDICTION FOR REAL-TIME DRIVER GUIDANCE

The generation and dissemination of driver guidance that can be used for real-time diversion of traffic are expected to be implemented through the use of real-time traveler information systems. To implement these functions, a system structure consisting of a surveillance module, a congestion prediction module, and a control and routing (CAR) module is proposed, with the focus on the approaches that may be used for congestion prediction and the strategies that may form the basis for routing. It is argued that a congestion prediction capability is critical for the effectiveness of an on-line traveler information system. Such a capability is required to accurately forecast traffic conditions that may exist in the near future. The use of a dynamic traffic assignment model for congestion prediction is suggested. Such a model consists of dynamic driver behavior and network performance modules as well as origin-destination updating capability. Alternatively, statistical time-series methods may be necessary to generate predictions of future traffic conditions. The advantages and difficulties of adopting either approach are discussed. The predicted congestion information is passed to the CAR module to develop diversion strategies to alleviate both recurring and nonrecurring congestion. The role of routing strategies and update frequency in determining guidance effectiveness is discussed.
On robust bounded control of the combined wheel slip with integral compensation for an autonomous 4WS4WD vehicle

This paper presents a robust bounded controller that prevents an autonomous 4WS4WD vehicle from wheel skidding in presence of uncertainties of both tire/road condition and aerodynamic drag. For eliminating the steady-state error of path tracking, this control scheme incorporates integral compensation into a robust low-and high-gain technique, which in our earlier work has been introduced to achieve the anti-skidding. In comparison, this new proposed scheme ensures the path-tracking error can vanish asymptotically without incurring high-frequency chattering in the control signals. Simulation shows that, under the uncertainty effects, the proposed controller effectively limits the combined wheel slip and achieves the asymptotic path tracking. Moreover, the control inputs of wheel torque and wheel steering are coordinated well in response to this new control scheme.
New type of modified trimmed mean filter

In this paper, we propose a new type of modified trimmed mean (MTM) filter for image smoothing. The MTM filter was first proposed by Lee and Kassam. The filter is designed to remedy the problem of edge blurring resulted by a mean filtering. The idea is to perform the averaging operation on some selected samples inside a window. A data sample is selected if its value falls into the range of (m - q, m + q) where m is a value calculated from the data samples and q is a preselected threshold value. Lee et al used the median filter to estimate the m value. Although the MTM filter works well for some images, it cannot preserve the details. This is because the median filter is not a detail preserving filter. In this paper, we propose to replace the median filter by a detail preserving filter, namely multistage median (MSM), for the m value estimation. We call this filter the multistage median based MTM (MSMTM) filter. It is shown that the new MSMTM filter is highly efficient and detail- preserving. By some modification, the MSMTM can also be used to filter the multiplicative noise. Finally, simulations are carried out to evaluate the performance of the filter.
[3D] Nano-Scale Ferroelectric Devices for Memory Applications

A description is presented of present efforts to make thin-films for ferroelectric memory devices into truly three-dimensional objects, such as nano-tubes, nano-rods, and nano-ribbons. These may have important applications for DRAM trenched capacitors. A summary of state-of-the-art magnetic RAM (MRAM) and ferroelectric FRAM devices is included.
Insect repellent coating and industrial product using the same

一种害虫忌避性涂料，其中含有选自属于鹿蹄草科(Pyrolaceae)的植物整株草的萃取物、属于旱金莲科(Tropaaeolaceae)的植物整株草的萃取物、属于蒲桃科(Myrtaceae)的植物枝叶的萃取物以及属于报春花科(Primulace-ae)的植物整株草的萃取物中的至少一种萃取物，及选自聚乙烯醇、羧甲基纤维素、环氧树脂、聚氨酯树脂以及聚酯树脂中的至少一种涂料树脂以及涂料溶剂。
A model for optimal scheduling of hydro thermal systems including pumped-storage and wind power

This study describes a model for optimal scheduling of hydro thermal systems with multiple hydro reservoirs. Inflow to hydropower reservoirs, wind power and exogenously given prices are treated as stochastic variables. Power flow constraints are included through a linearised power flow model. A linearised representation of start-up costs for generating units and pumps is provided. The model is well suited for medium- and long-term hydro thermal generation scheduling and has the capability of capturing detailed system constraints by using a fine time resolution. The presented model is tested on a realistic representation of the Icelandic power system, considering some potential future system extensions.
Different stud configurations cause movement adaptations during a soccer turning movement

Purpose: Player–surface interaction is a key factor for soccer performance and the loads experienced by the human body in soccer. Thereby, the outsoles of soccer boots play an influencing role on traction properties. In this study, the influence of sole stud configuration on lower extremity kinematics and kinetics during a turning movement was investigated. Methods: Fifteen experienced soccer players performed five repetitive trials in four different sole configurations: soccer boot with removed studs, artificial turf design, firm ground and soft ground natural grass design. Subjects performed a 135° turning movement as quickly as possible in a laboratory environment. Lower leg kinematics and kinetics were collected by a motion analysis system and two force plates. Repeated measures ANOVA and post-hoc tests were used to discriminate between shoe conditions (P < 0.05). Results: Movement patterns of subjects were influenced by sole configurations. The soccer boot with removed studs provoked a more vertical alignment of the shank at touchdown accompanied by lower ankle and knee joint moments in the stance phase. The soft ground design showed decreased foot translation in combination with increased ankle moments compared to the other studded boot conditions. Conclusion: Movement adaptations were primarily found in the distal part of the lower extremities. The soccer boot with removed studs increased the risk of slipping whereas the soft ground sole configuration induced relatively high loads acting on the player.
Plane-of-Scattering Bistatic Scattering Matrix of Simply Shaped Targets

The use of the scattering plane as a reference plane allows a physically justifiable definition of co- and cross polarization in bistatic radar scattering. We have derived the relations for transforming the scattering matrix from the conventional bases of the spherical coordinate system into the PoS bases and studied polarization properties of a number of canonical targets. The results of the paper can be used for interpretation of the polarization behaviour of generally shaped targets and for target identification in radar remote sensing.
Development of the combiner-eyepiece night-vision goggle

Conventional 'straightthrough ' nightvision goggles are now in widespread service with many armed forces throughout the world. Though originally designed for ground forces they have been successfully engineered into the airborne environment and are used on both rotary wing and fixed wing aircraft. However, a major disadvantage in the use of this type of NVG, particularly in fast jet applications, is that they obscure the pilots direct view of the Head Up Display. The combiner eyepiece NVGs solves this problem by giving the pilot a direct view of the HUD and cockpit instruments which is optically combined with the intensified image. The cockpit instruments and HUD are ofcourse compatible with the NVG and are invisible to the NVG. The development ofa Combiner eyepiece NVG from initial concept through to production isdiscussed including design considerations, trade offs and enhancements to the operation of the device. The further development of the combiner eyepiece NVG into a fully integrated ejection safe night vision helmet is also described.
An Outbreak of Coxsackievirus A6 Infection in Adults of a Collective Unit, China, 2019

Outbreaks/epidemics caused by coxsackievirus A6 (CVA6) have been reported continuously since 2008. However, outbreaks of ocular conjunctival hemorrhage caused by CVA6 in adults in a collective unit have not been reported. Methods. The epidemiological investigations were carried out according to the monitoring program, and the clinical data were collected from the treated hospitals. The nasopharyngeal swab specimens were collected to extract the total nucleic acid (DNA/RNA). The pathogen was determined using nucleic acid detection kits for 22 respiratory pathogens. The VP1 gene of this pathogen was amplified and sequenced. Sequence alignment and analysis were performed using BioEdit 7.0. The gene phylogenetic tree was constructed with MEGA4.0. Results. The factory emerged patients in succession from February 14 and reached the peak on the 18th. A total of 19 workers had symptoms in this factory up to March 31, 2019, giving an attack rate of 8.26%. The main symptoms were rash, ocular conjunctival hemorrhage, fever, and sore throat. The laboratory results showed that coxsackievirus A6 was the main pathogen causing this outbreak. The risk of taking a bath in the bathroom was 7.37 times higher than that of not taking a bath (95% confidence interval (CI): 1.67–32.79). Conclusion. This manuscript further enriched the infection-related information of CVA6, which was helpful to better identify and deal with the epidemic in the future.
Actual and Perceived Car Dependence

A scoping study was conducted into the nature of car dependence in the United Kingdom. The primary aims of the study were to gain deeper insight into the changing nature and causes of car dependence over the past 20 years, to consider whether dependence was a useful way of characterizing the situation, and to identify the likely economic and social consequences of moving beyond the current voluntary interventions primarily being used to encourage people to reduce their car use and to adopt alternative, more sustainable modes. The new direction is toward more coercive and nonvoluntary future interventions, such as road pricing or carbon taxation. The study involved four interactive stages: a literature and policy review, time series analysis of data from the U.K. National Travel Survey 1995 to 1996 and 2005 to 2006, interviews with key local stakeholders, and exploratory focus-group exercises with selected members of the general public. Reported are findings of the literature review and exploratory focus-group exercises only. A full report of the study and supporting working papers can be found on the Royal Automobile Club Foundation website www.racfoundation. org.
Design and Simulation of a Wind Speed Measuring System for Cup Anemometer using an 8-Bit Processor

Wind is of high importance man; accurate measurement of the speed of wind at different locations can provide vital information to those that are concerned. A method of converting the number of pulses produced per second by the rotary encoder of a three-cup anemometer to instantaneous speed of wind is designed; the design is based on division of a 16-bit binary number by an 8-bit number and the conversion of 2-byte Hexadecimal number to binary coded decimal using an 8-bit microcontroller. Results of simulation shows that wind speed can be measured accurately with a resolution of 0.05 m/s. Keywords—Wind;Speed;Encoder:nemometer;Hexadecimal; Decimal; Resolution.