Miracle-dz/UniFAR-FTUs huggingface dataset:
Fiber-optic transport and RF phase control of narrowband millimeter-wave signals using multicontact monolithic semiconductor lasers

We demonstrate simultaneous fiber-optic transport and continuous RF phase control of narrowband millimeter-wave signals using a three-section monolithic Distributed Bragg Reflector (DBR) laser. By injection-locking the laser at the cavity round-trip resonant frequency of 45 GHz, 360/spl deg/ of continuous, linear RF phase control of the input mm-wave signal is achieved by simply varying the bias current into the laser.
Evaluating and operating NPD mix within Technological and Manufacturing Cluster under uncertainty

Critical Success Factors (CSFs) of NPD in Technological and Manufacturing Cluster (TMC) is first discussed, and then 47 CSFs are divided into hierarchical structure by factor analysis and causal analysis. While Analytic Network Process (ANP) can be applicable to consider the inter-relationship of the problem and to prioritise the relative importance of multiple evaluation criteria, expert judgment is always vague. To compensate the deficiency in conventional ANP, a fuzzy ANP is proposed to solve the problem. After case study, we conclude that the structured procedure and proposed model leads an enterprise to reach a more satisfactory performance.
A Genus-Wide Bioactivity Analysis of Daboia (Viperinae: Viperidae) Viper Venoms Reveals Widespread Variation in Haemotoxic Properties

The snake genus Daboia (Viperidae: Viperinae; Oppel, 1811) contains five species: D. deserti, D. mauritanica, and D. palaestinae, found in Afro-Arabia, and the Russell’s vipers D. russelii and D. siamensis, found in Asia. Russell’s vipers are responsible for a major proportion of the medically important snakebites that occur in the regions they inhabit, and their venoms are notorious for their coagulopathic effects. While widely documented, the extent of venom variation within the Russell’s vipers is poorly characterised, as is the venom activity of other species within the genus. In this study we investigated variation in the haemotoxic activity of Daboia using twelve venoms from all five species, including multiple variants of D. russelii, D. siamensis, and D. palaestinae. We tested the venoms on human plasma using thromboelastography, dose-response coagulometry analyses, and calibrated automated thrombography, and on human fibrinogen by thromboelastography and fibrinogen gels. We assessed activation of blood factors X and prothrombin by the venoms using fluorometry. Variation in venom activity was evident in all experiments. The Asian species D. russelii and D. siamensis and the African species D. mauritanica possessed procoagulant venom, while D. deserti and D. palaestinae were net-anticoagulant. Of the Russell’s vipers, the venom of D. siamensis from Myanmar was most toxic and D. russelli of Sri Lanka the least. Activation of both factor X and prothrombin was evident by all venoms, though at differential levels. Fibrinogenolytic activity varied extensively throughout the genus and followed no phylogenetic trends. This venom variability underpins one of the many challenges facing treatment of Daboia snakebite envenoming. Comprehensive analyses of available antivenoms in neutralising these variable venom activities are therefore of utmost importance.
Nonlinearity correction of the integrated time-to-digital converter with direct coding

A method and computer program for automated identification and correction of the nonlinearity error in time-to-digital converter (TDC) with 200-ps resolution, implemented on a single FPGA device is presented. The nonlinearity error is identified and corrected by the neural network trained with the fast Levenberg-Marquardt learning rule. Resulting nonlinearity was improved from 1.25 LSB (least significant bit) to about 0.12 LSB (24 ps).
A Consensus Genetic Map and Linkage Panel for Fresh-market Tomato

The first consensus genetic map in fresh-market tomato (Solanum lycopersicum) was constructed, combining genetic recombination data from two biparental F2 segregating populations derived from four different fresh-market tomatoes. Each F2 population was nominated by different academic tomato breeding programs located in major fresh-market tomato-producing areas of the United States, and chromosome-wide variation in recombination rates was observed between tomato populations based on the origin of their breeding programs. A consensus map constructed using 335 common single nucleotide polymorphism (SNP) sites found in both populations spanned 737.3 cM across 12 tomato chromosomes, with chromosome 2 containing more than 40% of the total SNPs and chromosomes 4, 5, 7, and 10 together representing less than 10% of the SNPs. There was a high degree of collinearity between the genetic and physical positions of those 335 SNP markers. The integration of 6553 SNP sites that were detected in either of the two populations with 335 common sites resulted in an extended consensus genetic map. The total length of the extended map was estimated to be 1997.9 cM, which was compatible with a previous estimate for large-fruited fresh-market tomato. A linkage panel for fresh-market tomato was also established using the combined dataset of the consensus map of 335 SNP loci and 73 SNP-genotyped core fresh-market tomatoes. An empirical genetic mapping study of the tomato brachytic trait using the linkage panel demonstrated the value of the consensus map and linkage panel for tomato research. The allelic information in the linkage panel will serve as a basis for SNP marker implementation, such as genotyping platforms and genomic association map, in tomato.
Diseño y análisis de tiempo real de un controlador para motor de corriente directa

The real time analysis of a DC motor controller is addressed. During the functional analysis, deadline and period of tasks were extracted to be used as parameters for Response Time Analysis (RTA). To get the Worst Case Execution Time (WCET) each task is stimulated with a random input vector. A great number of computation time samples were recorded and the WCET computed using the Gumbel statistical distribution. With the WCET, deadlines and periods of the task set under analysis a RTA model is evaluated and its results discussed. By modeling the WCET using the Extreme Values Theory (EVT) the need of low level analysis for software and an accurate model for hardware is avoided. The method used here is useful for soft real-time systems and could be applied to other hw/sw platforms easily.
High power factor phase controlled rectifier using staggered converters

This paper proposes a high power factor phase controlled rectifier employing paralleled staggered converters. The rectifier achieves a high input power factor (over 0.95) throughout the whole output current range. It reduces by 75% the converter's reactive power consumption compared to conventional high current rectifiers, hence reducing the input filter's rating by 80%. This is achieved without increasing the input current's distortion, which at the contrary is lower than the distortion produced by conventional high current rectifiers. Furthermore, the converter operates with a fixed input filter, eliminating the reactive power controller and switchgear required. This also increases the converter's reliability and overall system stability. The paper presents the converter's design procedure, simulation and experimental results, together with a full evaluation performed in an electrowinning plant. These validate the converter's aforementioned advantages.
Controlling buildings: a new frontier in feedback

The protection of civil structures, including their material contents and human occupants, is without doubt a worldwide priority of the most serious importance. Such protection may range from reliable operation and comfort, on the one hand, to survivability on the other. Examples of such structures leap to one's mind, and include buildings, offshore rigs, towers, roads, bridges, and pipelines. In like manner, events that cause the need for such protective measures are earthquakes, winds, waves, traffic, lightning, and-today, regrettably-deliberate acts. Indications are that control methods will be able to make a genuine contribution to this problem area, which is of great economic and social importance. In this article, we review the rapid developments which have been occurring in the area of controlled civil structures, including full-scale implementations, actuator types and characteristics, and trends toward the incorporation of more modern algorithms and technologies.
Research on Emergency Material Allocation Mode of Sudden Disaster with Improved NSGA-II

Background:In order to solve the problems of redundancy, unfairness, low satisfaction and high cost of emergency material allocation caused by unreasonable allocation effectively in the case of sudden disasters, and minimize the economic cost, punishment cost and maximizing the satisfaction rate of disaster victims, a 3-level network emergency material allocation mode based on big data is proposed in this paper.Methods:Taking the loss degree and the dynamic change of material demand in the disaster stricken areas as constraints, the demand forecasting, scheduling optimization, targeted allocation and disaster victims' satisfaction model based on emergency relief materials is constructed. The Sample Average Approximation method and improved NSGA-II algorithm are designed to solve the problem.Results:Compared with the results obtained by the improved NSGA-II, the value is significantly reduced. From the fairness evaluation results of the two model distribution schemes, the model obtained by the improved NSGA-II is more suitable for the distribution of emergency supplies with fair distribution requirements.Conclusions:It can be concluded that the 3-level network allocation mode and improved NSGA-II can solve emergency relief materials allocation based on big data effectively. The next step is to design scheduling model with all feasible medical supplies allocation route to improve the practicability of the model.
Fabrication of multispectral imaging technology driven MEMS-based micro-arrayed multichannel optical filter mosaic

Multispectral imaging is becoming a new powerful tool in a wide range of biological studies by adding spectral, spatial and temporal dimensions to tissue abnormity and the underlying biological processes. A standard spectral imaging setup includes two major components, a band pass selection device (such as liquid crystal tunable filter and diffraction grating) and a scientific-grade monochrome camera. Contemporary multispectral imaging technologies typically use traditional optical filters e.g., filter wheels, a generalized Lyot filter, an electrically tunable filter, multiple-band pass filters or the methods of dispersing light, e.g., optic-acoustic crystals. The instrumented systems are bulky, expensive, require multiple exposures or extensive post-processing to align up multiple images of pure spectral components. Recently a break-through technology has emerged to instrument multispectral imaging technology into handheld real-time devices using miniaturized filter mosaic containing micro-arrayed multiple channel band-pass optical filters. The filter mosaic can be directly placed near the focal plane immediately in front of the imaging sensor of an off-shelf CCD/CMOS camera, with potentially one such micro-filter covers one pixel of the imaging sensor. This paper reveals the technical details of how such a micro-arrayed multi channel optical filter is fabricated using traditional multi-film vacuum deposition and the modern micro-lithography technologies. The selection of different coating materials, their structures and effects to the adhesive forces between film and substrate, the spatial resolution, width of passing band, and the transmittance of the resulting miniaturized optical filter is discussed.
Nonlinear Model-Based Fault Detection for a Hydraulic Actuator

This paper presents a model-based fault detection algorithm for a specific fault scenario of the ADDSAFE project. The fault considered is the disconnection of a control surface from its hydraulic actuator. Detecting this type of fault as fast as possible helps to operate an aircraft more cost effective and can help to avoid an undetected increase in fuel consumption. The method proposed here uses an Adaptive Extended Kalman Filter (A-EKF) to detect the disconnection using only local measurements (control signal to the actuator and actuator rod position). For this purpose, an accurate physical model of the hydraulic actuator is needed and the fault is detected by parameter estimation. It is shown that the A-EKF performs better than the regular Extended Kalman Filter (EKF) for this application.
Absolute Subtraction and Division Circuits Using Uncorrelated Random Bitstreams in Stochastic Computing

Different from conventional deterministic binary computing, stochastic computing (SC) utilizes random binary bitstreams to implement arithmetic functions. It has shown advantages in hardware cost and fault tolerance in applications such as image processing. In contrast stretching and edge detection, specifically, division and absolute subtraction are important functions. However, it is challenging to directly compute these functions in SC, especially when uncorrelated bitstreams are used. In this paper, a counter-based unipolar scaled absolute subtractor (UCASub) is first proposed for using two uncorrelated bitstreams. Based on the UCASub, a bipolar scaled absolute subtractor and unipolar and bipolar dividers are further proposed for using uncorrelated bitstreams. Experimental results show that these circuits are more accurate with lower mean squared errors and similar hardware overhead when compared with previous designs.
Electrochemical study of potential materials for cochlear implant electrode array (abstract)

Cochlear implants (CIs) are commonly accepted therapeutic devices for clinical use and have restored hearing to more than 230,000 profoundly deaf people. CI devices consists of an external part comprising a speech processor (DSP) a microphone which together receive and convert the sound into a digital data stream using a speech processing strategy. The digital data is then transferred via an RF link to the internal part, viz. the receiver-stimulator package, which receives power and decodes the instructions for controlling the electrical stimulation via a multichannel electrode array placed inside the cochlea, giving a rich and natural perception of sound [Fig.1].
Thermal self-limiting effects in the long-term AC stress on n-channel LDD MOSFETs

A model of lightly doped drain n-MOSFET degradation in drain current under long-term AC use conditions which includes a self-limiting effect in the hot-electron induced device degradation is proposed for lifetime projections. Experimental results on LDD n-MOSFETs (W=50 mu m) are presented which show the maximum drain current degradation as a function of the average substrate current under the various AC stress and use conditions (f=0.4 MHz, 1 MHz, 2 MHz, and 4 MHz) for different drawn gate lengths. The maximum drain current degradations were 0.3% mu A, 0.2%/ mu A, and 0.15%/ mu A of the substrate current for drawn gate lengths of 0.8 mu m, 1.0 mu m, and 1.5 mu m, respectively, at an ambient temperature of 25 degrees C. The proposed model also includes and predicts the strong temperature dependence. <<ETX>>
Realization of a 30-W highly efficient and linear reconfigurable dual-band power amplifier using the continuous mode approach

This paper presents the design methodology and the realization of a highly linear and power-efficient reconfigurable dual-band amplifier based on the continuous/Class-ABJ approach. The Class-ABJ theory allows presenting different reactive solutions on both fundamental and second harmonic terminations compared with the standard Class-AB mode. Despite the various terminations, a constant optimum output performance in terms of power, gain, and efficiency can still be achieved. The output impedances are then translated into frequency thus allowing the realization of broadband power amplifiers (PAs) at high-power level of 30 W. In this work, the Class-ABJ broadband approach will be used for the realization of a reconfigurable dual-band power amplifier operating in the two frequency bands 2.1–2.2 and 2.5–2.6 GHz. Continuous wave (CW) measurements on the realized PA show power and efficiency greater than 17 W and 55% in the two frequency bands with peak values up to 30 W and 63.7%. Indeed, it is shown that such novel modes can be predistorted and therefore the linearity requirement can also be met.
A 2.56-GS/s 12-bit 8x-Interleaved ADC With 156.6-dB FoMS in 65-nm CMOS

This article presents a 2.56-GS/s 12-bit eight-channel interleaved analog-to-digital converter (ADC) that achieves an FOM<inline-formula> <tex-math notation="LaTeX">$_{S}$ </tex-math></inline-formula> of 156.6 dB at near the Nyquist input frequency of 1.2 GHz in 65-nm CMOS technology. A new technique is employed to mitigate the effect of comparator metastability. In addition, a noise averaging calibration method is implemented to calibrate the comparator offset in each subchannel in the foreground. Moreover, a digital-to-time delay tuner is employed to minimize the time skew among the eight channels. Several other calibration techniques are also employed to reduce the interchannel and intrachannel nonidealities. The single subchannel ADC achieves an SNDR of 59.6 dB and an FOM<inline-formula> <tex-math notation="LaTeX">$_{S}$ </tex-math></inline-formula> of 167.3 dB at the Nyquist input frequency with a sampling rate of 350 MS/s. With eight subchannels interleaved, the 2.56-GS/s ADC achieves an SNDR of 55.7 dB and an SFDR of 64 dB at the Nyquist input with calibration. In addition, the measured differential nonlinearity (DNL) and integral nonlinearity (INL) of the interleaved ADC are 0.51/−0.4 LSB and +1.38/−0.89 LSB, respectively.
Artificial Intelligence for Creating Low Latency and Predictive Intrusion Detection with Security Enhancement in Power Systems

Advancement in network technology has vastly increased the usage of the Internet. Consequently, there has been a rise in traffic volume and data sharing. This has made securing a network from sophisticated intrusion attacks very important to preserve users’ information and privacy. Our research focuses on combating and detecting intrusion attacks and preserving the integrity of online systems. In our research we first create a benchmark model for detecting intrusions and then employ various combinations of feature selection techniques based upon ensemble machine learning algorithms to improve the performance of the intrusion detection system. The performance of our model was investigated using three evaluation metrics namely: elimination time, accuracy and F1-score. The results of the experiment indicated that the random forest feature selection technique had the minimum elimination time, whereas the support vector machine model had the best accuracy and F1-score. Therefore, conclusive evidence could be drawn that the combination of random forest and support vector machine is suitable for low latency and highly accurate intrusion detection systems.
Control System for the Internet Chair

We have developed second-generation prototypes of the Internet Chair, a novel internet appliance. The first generation explored using the chair as an input device; “ ,” the prototype described here, is a pivot (swivel, rotating) chair deployed as an output device, a rotary motionplatform information appliance. Its haptic display modality is yaw, dynamically synchronized with wireless visual displays and spatial audio in a rotation-invariant virtual space. In groupware situations, like teleconferencing, chat spaces, or multiplayer gaming, such orientation is also used to twist iconic representations of a seated user, avatars in a virtual world, enabling social situation awareness. Using its audio display modality, “nearphones” embedded in the seat headrest, the system can present unencumbered binaural sound with soundscape stabilization for multichannel sound image localization. As a haptic output modality, chairs with servomotors render kinesthetic and proprioceptive cues, twisting under networked control, to direct the attention of a seated users like a “dark ride” amusement park attraction or under active user control, local and/or distributed. The , manifesting as personal LBE (location-based entertainment) can be used in both
miR-199b-3p Promotes Radiation-induced Oral Mucositis via DDIT4-mediated mTOR Signal Pathway

Background: Radiation-induced oral mucositis (RIOM) is an adverse reaction in patients of head and neck cancer after radiotherapy. However, the key regulatory factors in the pathogenesis of RIOM remain largely unclear. In this article, we discover a novel role of DNA damage-inducible transcript 4 (DDIT4) in regulating RIOM pathogenesis.Methods: We established RIOM in vitro and in vivo models to mimic the biological processes of RIOM. The level of DDIT4 in RIOM was analyzed by real-time PCR and Western blot. Through the bioinformatics analysis and luciferase assay, the relationship between miR-199b-3p and DDIT4 was performed. The level of mTOR signaling were explored by Western blot. Besides, Clone Formation and EDU assay were performed to investigate the effects of miR-199b-3p/DDIT4 on cell proliferation. H&E and immunohistochemistry experiments examined the effects of miR-199b-3p/DDIT4 on RIOM in vivo. Results: We found that the level of DDIT4 was significantly reduced during the RIOM formation, and up-regulated of DDIT4 suppressed the progression of RIOM in vitro and in vivo. Besides, we found DDIT4 was a direct target of miR-199b-3p. Ectopic expression of miR-199b-3p repressed the level of DDIT4 and activated mTOR signal conduction to promote RIOM progress, whereas the silencing of miR-199b-3p promoted the DDIT4-mediated RIOM regulation both in vitro and in vivo. Conclusion: Collectively, our studies not only identified the novel functional role of DDIT4 in modulating pathogenic processes of RIOM but also provided new directions and ideas for the future treatment of radiotherapy oral mucositis.
Local field calculations for electrical trees in point-plane geometry

In the discharge-avalanche model for electrical trees branching is caused by time-dependent fluctuations in the local fields at the tree tips. Space charges of both polarities are produced by tube-discharges and polymer avalanches and make a major contribution to these fields. The fluctuations have thus been associated with rearrangements of the space-charge distribution brought about by the tube-discharges, avalanches in the polymer, recombination and diffusion. In calculating the local fields to be used in the model the space-charge distribution both within the tubular structure and around the tree periphery must be taken into account. In order to satisfy the boundary conditions, i.e. H.V. applied to a needle electrode with a grounded plane electrode, it is necessary to include the image charges (or equivalent surface charges) in the electrodes. These have a significant effect upon the local fields. Here we report field calculations for realistic tree structures incorporating space charges and their images. The walls of the tree tubules are assumed to hold adsorbed positive ions, while regions around the tree contain varying amounts of negative and positive charge. This work is intended to be a preliminary investigation prior to a full incorporation of the space charge fields into the discharge-avalanche model.