Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental Investigation of Unsteady Flow Field in the Tip Region of an Axial Compressor Rotor Passage at Near Stall Condition With SPIV

Stereoscopic Particle Image Velocimetry (SPIV) was applied to a large-scale low-speed compressor facility with the configuration of the two CCD cameras placed on each side of the light sheet to make the measurement of the vortices in the cross flow section possible and to avoid the disturbance from the light sheet containing periscope-type probe. Instantaneous velocity and vorticity distributions were successfully documented at the tip region of the rotor at near stall condition. The measurement results clearly revealed the generation and evolution of the tip leakage vortex. Comparing to design condition, the tip leakage vortex at near stall condition generates and breaks down earlier and interacts more violently with mainstream, which causes large blockage and much loss. Whether corner vortex exists or not is the primary difference between near stall and design condition. Differing from the leakage vortex, the corner vortex is composed of multiple vortices developed from the suction surface of the rotor blade. The key mechanism for the generation of the corner vortex is that the rotation of the rotor has different effect on the evolution of positive vortices and negative vortices, which makes the positive vortices dissipates faster than the negative ones, the vortices at the rotor exit therefore bear mainly negative vortices, which induces the fluids to rotate clockwise at the corner and forms the corner vortex.Copyright © 2003 by ASME
Mechanical Intelligence in Millimeter-Scale Machines

Advances in millimeter-scale fabrication processes have enabled rapid progress towards the development of flapping wing micro air vehicles with wing spans of several centimeters and a system mass on the order of 100mg. Concerning flight stability and control mechanisms for these mass and power limited devices, this dissertation explores the use of underactuated “mechanically intelligent” systems to passively regulate forces and torques encountered during flight. Several experiments demonstrate passive torque regulation in physical flapping wing systems. Finally, this dissertation concludes with a detailed description of the Printed Circuit MEMS manufacturing process, developed to address the practical problem of building complex insect-scale machines.
MOS varactor modeling with a subcircuit utilizing the BSIM3v3 model

This paper presents a subcircuit model for an MOS varactor based on the BSIM3v3 model suitable for simulator implementation within circuit-design environments. The development of the model and BSIM3v3 model parameter settings are discussed in detail. By varying the length (L) of the device, C/sub MAX//C/sub MIN/ ratios as high as five or minimum quality factors of 21.5 at 2.4 GHz can be achieved using a standard 0.35 /spl mu/m CMOS process. The investigation of different geometries resulted in a tradeoff between capacitance tuning and quality factor. A medium length varactor has been characterized.
The Construction of Work in Artificial Intelligence

Although technology is often viewed as value-free, an anthropological perspective suggests that technological tools embody values and assumptions of their builders. Drawing upon extended field research, this article investigates the construction of work in the expert systems community of artificial intelligence (AI). Describing systematic deletions in practitioners' representations of their own work, the article relates these to both the selectivity of conventional knowledge acquisition procedures and the tendency of expert systems to (in the practitioners' words) "fall off the knowledge cliff. " Although system builders see the latter problem as purely technical, this article suggests that it is also the result of nontechnical factors, including the system builders' own tacit assump tions. This article supports the view that technology has a cultural dimension.
GZMKhigh CD8+ T effector memory cells are associated with CD15high neutrophil abundance in early-stage colorectal tumors and predict poor clinical outcome

Tumor contexture has emerged as a major prognostic determinant and tumor infiltrating CD8+ T cells have been associated with a better prognosis in several solid tumors, including early-stage colorectal cancer (CRC). However, the tumor immune infiltrate is highly heterogeneous and understanding how the interplay between different immune cell compartments impacts on the clinical outcome is still in its infancy. Here, we describe in a prospective cohort a novel CD8+ T effector memory population, which is characterized by high levels of Granzyme K (GZMKhigh CD8+ TEM) and is correlated with CD15high tumor infiltrating neutrophils. We provide both in vitro and in vivo evidence of the role of stromal cell-derived factor 1 (CXCL12/SDF-1) in driving functional changes on neutrophils at the tumor site, promoting their retention and increasing the crosstalk with CD8+ T cells. Mechanistically, as a consequence of the interaction with neutrophils, CD8+ T cells are skewed towards a CD8+ TEM phenotype and produce high levels of GZMK, which in turn decreases E-cadherin pathway. The correlations of GZMKhigh CD8+ TEM and neutrophils with both tumor progression in mice and early relapse in CRC patients demonstrate the role of GZMKhigh CD8+ TEM in promoting malignancy. Indeed, a gene signature defining GZMKhigh CD8+ TEM was associated with worse prognosis on a larger independent cohort of CRC patients and a similar analysis was extended to lung cancer (TCGA). Overall, our results highlight the emergence of GZMKhigh CD8+ TEM in early-stage CRC tumors as a hallmark driven by the interaction with neutrophils, which could implement current patient stratification and be targeted by novel therapeutics.
Predictive Current Control Strategy of Three-phase PWM Rectifier under Power Network Unbalance

The traditional three-phase PWM rectifier predictive control will cause the grid-connected current distortion, the increase of harmonics and the decrease of system reliability when the grid is unbalanced. In this paper, a predictive current control method based on virtual flux is proposed. In order to improve the accuracy of observation, a flux observer with an in-band compensation link was established in the system. Because there is a certain error in the network voltage estimated by this method, the control system is constructed by using the backward prediction two-step current control strategy and combining with the new power theory, which can solve the problems such as the lag and error in the signal acquisition of the system and the great power fluctuation caused by the power grid fault. The simulation results show that the flux tracking network voltage is accurate, the current distortion and power ripple are suppressed, and the system has good performance.
Erosion of Sediment Beds in Sewers: Model Development

the problems created by sediment deposits in combined sewer systems (sanitary and storm) are internationally recognized. The loss in conveyance due to these deposits contributes to hydraulic overloading, leading to flooding and premature operation of combined sewer overflows. The washout of sediments through combined sewer overflows into urban water courses during times of storm and the associated pollution caused by this phenomenon may be a factor affecting many urban ecosystems. Based on field observations, coupled with sampling and analysis of combined sewer sediment deposits, it has been found that in the invert of pipes there is often coarse, loose, granular, predominantly mineral material overlain by a mobile, fine-grained deposit. The erosion of the latter type of deposit is considered to be the source of the “first foul flush” of pollution, which is observed in many sewerage systems in response to storm events. This paper describes an experimental laboratory investigation of the erosion and subsequent suspended sediment transport of an in-pipe, fine-grained, organic, cohesive-like sediment deposit analogous to those found in sewers. The development of the laboratory system, the test program, the results of the study, and the development of a new approach to model the erosion and transport of cohesive-like sediments in pipes are described. Conclusions regarding the importance of the structure of the bed and its erosional behavior under a wide range of time-varying hydraulic conditions are presented.
An integrated sensory-intelligent system for underwater acoustic signal-processing applications

A generic integrated sensory-intelligent system (ISIS) is developed for underwater acoustic signal-processing applications. ISIS constantly monitors the current acoustic channel conditions and smoothly integrates the outputs of the most appropriate signal-processing procedures or algorithms available to it for those conditions. The system is based on a generalization of a tuneable approximate piecewise linear (TAPL) model derived from the modified probabilistic neural network (MPNN). This model was designed to seamlessly integrate a set of local linear signal-processing algorithms within a given multidimensional data space. Depending on the input signal distortions, which are determined by environmental effects, ISIS automatically weighs and adds the outputs from a set of processing algorithms working in parallel. The weighting is related to the "closeness" of each algorithm to the sensed input signal characteristics or some other measured environmental state. A single tuning parameter is used to smoothly and seamlessly select appropriately among the parallel processing algorithm outputs. A very small tuning-parameter value selects the closest most appropriate algorithm output. At the other extreme, a fixed weighted average of all the algorithm outputs is produced with a very large value. Otherwise, a dynamic weighed average of all algorithm outputs is achieved with values in between. Some features and benefits of ISIS are demonstrated with an illustrative linear sweep chirp signal-detector estimation problem characterized by extremely variable Doppler conditions.
A hybrid data analytic methodology for 3PL transportation provider evaluation using fuzzy multi-criteria decision making

Third-party logistics (3PL) service provider selection for a strategic alliance is not an easy decision, and is constantly associated with uncertainty and complexity. For this reason, in this study, a hybrid fuzzy multi-criteria decision-making methodology is proposed to provide a systematic decision support tool for 3PL provider evaluation, especially for 3PL transportation provider. The proposed evaluation methodology consists of several steps. First, the strategic goal and sub-attributes are identified for 3PL service provider evaluation. After constructing the hierarchy, Buckley’s fuzzy-analytical hierarchy process (AHP) extension algorithm is used to determine the evaluation criteria weights. Then, by using fuzzy-AHP results as input weights, the fuzzy-Technique for Order Preference by Similarity to Ideal Solution technique is conducted in order to identify the most suitable third-party providers. Finally, a real-life case study in a confectionary company is presented to demonstrate the potential use of the methodology and a sensitivity analysis is performed to analyse the hybrid methodology proposed here. In the conclusion of the study, future recommendations are presented.
Thermal behaviour of a green vs. a conventional roof under Mediterranean climate conditions

The application of green roofs on urban buildings is considered to have a positive impact on their thermal behaviour and local microclimatic conditions. According to the literature, their ability for attenuation of storm water run-off as well as their contribution to the building's thermal protection is among the most important benefits of this technique. However, despite the development of computer models that can assist towards analysing the nature of their behaviour, there is still a relative gap in measured data representing long-term period thermal performance. In this paper, the results of a long-term experimental analysis are presented, which attempt to identify the thermal behaviour of a green roof in comparison with a bare flat roof. The results show that in Mediterranean countries, a green roof can contribute substantially to building's energy conservation mainly during the warm period of the year, while its influence during the cold period is negligible.
Compact Microracetrack Resonator Devices Based on Small SU-8 Polymer Strip Waveguides

Compact microracetrack resonator (MRR) devices are presented with small SU-8 polymer strip waveguides. The SU-8 strip waveguide has an SU-8 polymer core (n~1.573) , a SiO2 buffer (n~1.445), and an air cladding. The fabricated straight waveguide has a low propagation loss of about 0.1 dB/mm. With such a high index-contrast optical waveguide, a compact MRR with a small bending radius (~150 mum) are designed and fabricated. The measured spectral responses of the through/drop ports show a Q-factor of 8000.
A hybrid multilevel inverter topology for drive applications

The use of multilevel inverters has become popular in recent years for high power applications. Various topologies and modulation strategies have been reported for utility and drive applications in the recent literature. This paper is devoted to the investigation of a 500 hp induction motor drive based on a seven-level 4.5 kV hybrid inverter. The topological structure and operating principles of the proposed approach are presented. Various design criteria, spectral structures and other practical issues such as capacitor voltage balancing are discussed. The feasibility of the proposed approach is verified by computer simulations.
Electromagnetic Performance Analysis of Claw-Pole Alternator with Changing Permeance

A changing air gap permeance model of the alternator and its influence were discussed in this paper. When the alternator was under high-speed operation, taking it into consideration that the claws getting deformation for rotating centrifugal force and electromagnetic exciting force, the alternator’s changing air gap permeance model was established. And the alternator’s Maxwell3D calculation model was built. The field magnetic distribution under the rated speed was obtained as well, also before the claws’ deformation was obtained. The harmonics of the air-gap flux were analyzed and compared. The changing air gap permeance model was proved to be reasonable. It would lead to air-gap magnetic field distortion of the generator, which affected the generator’s electromagnetic properties. Instruction was provided for more precise of air gap magnetic field analysis or vibration noise analysis of alternator.
Interacting Multiple Model Methods in Target Tracking: A Survey

The Interacting Multiple Model (IMM) estimator is a suboptimal hybrid filter that has been shown to be one of the most cost-effective hybrid state estimation schemes. The main feature of this algorithm is its ability to estimate the state of a dynamic system with several behavior modes which can "switch" from one to another. In particular, the IMM estimator can be a self-adjusting variable-bandwidth filter, which makes it natural for tracking maneuvering targets. The importance of this approach is that it is the best compromise available currently-between complexity and performance: its computational requirements are nearly linear in the size of the problem (number of models) while its performance is almost the same as that of an algorithm with quadratic complexity. The objective of this work is to survey and put in perspective the existing IMM methods for target tracking problems. Special attention is given to the assumptions underlying each algorithm and its applicability to various situations.
Clever Experimental Designs: Shortcuts for Better iPSC Differentiation

For practical use of pluripotent stem cells (PSCs) for disease modelling, drug screening, and regenerative medicine, the cell differentiation process needs to be properly refined to generate end products with consistent and high quality. To construct and optimize a robust cell-induction process, a myriad of cell culture conditions should be considered. In contrast to inefficient brute-force screening, statistical design of experiments (DOE) approaches, such as factorial design, orthogonal array design, response surface methodology (RSM), definitive screening design (DSD), and mixture design, enable efficient and strategic screening of conditions in smaller experimental runs through multifactorial screening and/or quantitative modeling. Although DOE has become routinely utilized in the bioengineering and pharmaceutical fields, the imminent need of more detailed cell-lineage specification, complex organoid construction, and a stable supply of qualified cell-derived material requires expedition of DOE utilization in stem cell bioprocessing. This review summarizes DOE-based cell culture optimizations of PSCs, mesenchymal stem cells (MSCs), hematopoietic stem cells (HSCs), and Chinese hamster ovary (CHO) cells, which guide effective research and development of PSC-derived materials for academic and industrial applications.
Artificial intelligence for the prediction bladder cancer

New techniques for the prediction of tumour behaviour are needed as statistical analysis has a poor accuracy and is not applicable to the individual. Artificial intelligence (AI) may provide these suitable methods. We have previously shown that the predictive accuracies of neuro-fuzzy modelling (NFM) and artificial neural networks (ANN), two methods of AI, are superior to traditional statistical methods for the behaviour of bladder cancer (Catto et al, 2003). In this paper, we explain the AI techniques required to produce these predictive models. We used 9 parameters, which were a combination of experimental molecular biomarkers and conventional clinicopathological data, to predict the risk of tumour progression in a population of 109 patients with bladder cancer, NFM, using fuzzy logic to model data, achieved similar or superior predictive accuracy to ANN, which required cross-validation. However, unlike the impenetrable opaque structure of neural networks, the rules of NFM are transparent, enabling validation from clinical knowledge and the manipulation of input variables to allow exploratory predictions.
Comparison of two approaches for implementing multireservoir operating policies derived using stochastic dynamic programming

This paper compares two approaches for implementing reservoir operating policies derived using stochastic dynamic programming (SDP) models. In particular, operating policies for the Shasta-Trinity system in Northern California are generated using SDP algorithms that employ either multilinear or multidimensional piecewise cubic functions to approximate the cost-to-go function. Release decisions in the simulations are then determined by either (1) interpolating in the policy tables or (2) reoptimizing the policy within the simulation, using the cost-to-go function generated by the SDP. The impact on simulated system performance of several discretization and interpolation schemes in the SDP is also evaluated. Reoptimizing the policy when a decision is made within the simulation resulted in better system performance, particularly when severe penalties were incurred for water and power shortages and coarse discretizations were employed in the SDP.
Viral Traits and Cellular Knock-Out Genotype Affect Dependence of BVDV on Bovine CD46

The role of bovine CD46 in the host cell entry of BVDV has been established for more than a decade. By generating novel MDBK CD46 knock-out clones, we confirm previously reported data on the CD46 motives important for BVDV binding and the importance of the G479R exchange within BVDV Erns to gain independence of bovine CD46 during entry. The comparison of different knock-out genotypes revealed a high variability of cellular susceptibility for a BVDV encoding the G479R exchange. These data highlight the effect of clonal selection of knock-outs on virus susceptibility, which should be considered when planning knock-out experiments.
Any-Cap Low Dropout Voltage Regulator

Power management plays a very important role in the current electronics industry. Battery powered and handheld applications require novel power management techniques to extend the battery life. Most systems have multiple voltage regulators to provide power sources to the different circuit blocks and/or sub-systems. Some of these voltage regulators are low dropout regulators (LDOs) which typically require output capacitors in the range of 1's to 10's of µF. The necessity of output capacitors occupies valuable board space and can add additional integrated circuit (IC) pin count. A high IC pin count can restrict LDOs for system-on-chip (SoC) solutions. The presented research gives the user an option with regard to the external capacitor; the output capacitor can range from 0 - 1µF for a stable response. In general, the larger the output capacitor, the better the transient response. Because the output capacitor requirement is such a wide range, the LDO presented here is ideal for any application, whether it be for a SoC solution or stand-alone LDO that desires a filtering capacitor for optimal transient performance. The LDO architecture and compensation scheme provide a stable output response from 1mA to 200mA with output capacitors in the range of 0 - 1µF. A 2.5V, 200mA any-cap LDO was fabricated in a proprietary 1. 5µm BiCMOS process, consuming 200µA of ground pin current (at 1mA load) with a dropout voltage of 250mV. Experimental results show that the proposed any-cap LDO exceeds transient performance and output capacitor requirements compared to previously published work. The architecture also has excellent line and load regulation and less sensitive to process variation. Therefore, the presented any-cap LDO is ideal for any application with a maximum supply rail of 5V.
The effect of patterns on thermal stress during rapid thermal processing of silicon wafers

The presence of patterns can lead to temperature nonuniformity and undesirable levels of thermal stress in silicon wafers during rapid thermal processing (RTP). Plastic deformation of the wafer can lead to production problems such as photolithography overlay errors and degraded device performance. In this work, the transient temperature fields in patterned wafers are simulated using a detailed finite-element-based reactor transport model coupled with a thin film optics model for predicting the effect of patterns on the wafer radiative properties. The temperature distributions are then used to predict the stress fields in the wafer and the onset of plastic deformation. Results show that pattern-induced temperature nonuniformity can cause plastic deformation during RTP, and that the problem is exacerbated by single-side heating, increased processing temperature, and increased ramp rate. Pattern effects can be mitigated by stepping the die pattern out to the edge of the wafer or by altering the thin film stack on the wafer periphery to make the radiative properties across the wafer more uniform.