Miracle-dz/UniFAR-FTUs huggingface dataset:
Potential Finish Time and Min-mean Algorithm for allocating Meta-Tasks on distributed Computational Grid

Grid is widely distributed and promising technology that enables the integrated and heterogeneous resource sharing for solving computationally challenging scientific engineering problems. In a distributed grid environment, allocating the tasks to the available computing resources proves complex and it is an NP-Complete problem as resources are geo-graphically distributed. In this paper presents a new task scheduling algorithm, called Potential Finish Time Min-mean Task Scheduling Algorithm (PFTSA), to enhance the selection of the suitable resources, which is responsible for the scheduling process. The proposed algorithm (PFTSA) schedules the tasks to the suitable resources by considering the potential finish time of the tasks, average execution time and waiting time of the tasks and average completion time of the resources. The proposed algorithm (PFTSA) results in minimum makespan as well as improved resource utilization. The experimental results indicate the PFTSA is a promising algorithm than the existing Min-min algorithm.
Research on a High Effective Algorithm of PRACH Baseband Signal in TD-LTE System

Random Access Procedure is a bridge between idle mode and connection mode in LTE system, and the algorithm of PRACH baseband signal we use will influence the performance of LTE system. A kind of High effective algorithm of PRACH baseband signal is introduced in this paper based on the research and analysis on the present PRACH baseband generation algorithm . By comparing and simulation, we find the algorithm introduced in this paper is feasible and effective. And this algorithm has been used in the RF conformance test system in LTE system.
Quality management practices and their impact on performance

Purpose – This paper aims to explore the relationship between quality management practices and their impact on performance.Design/methodology/approach – First, critical quality management practices are identified and classified in three main categories: management, infrastructure, and core practices. Then, a model linking these practices and performance is proposed and empirically tested. The empirical data were obtained from a survey of 133 Tunisian companies from the plastic transforming sector.Findings – The results reveal a positive relationship between quality management practices and organizational performance. Moreover, the findings show a significant relationship between management and infrastructure practices. In addition, the results illustrate a direct effect of infrastructure practices on operational performance and of core practices on product quality.Research limitations/implications – The conceptual model proposed and tested in this study can be used by researchers for developing quality ma.
Conducting polymer‐based flexible supercapacitor

Flexible supercapacitors, a state‐of‐the‐art material, have emerged with the potential to enable major advances in for cutting‐edge electronic applications. Flexible supercapacitors are governed by the fundamentals standard for the conventional capacitors but provide high flexibility, high charge storage and low resistance of electro active materials to achieve high capacitance performance. Conducting polymers (CPs) are among the most potential pseudocapacitor materials for the foundation of flexible supercapacitors, motivating the existing energy storage devices toward the future advanced flexible electronic applications due to their high redox active‐specific capacitance and inherent elastic polymeric nature. This review focuses on different types of CPs‐based supercapacitor, the relevant fabrication methods and designing concepts. It describes recent developments and remaining challenges in this field, and its impact on the future direction of flexible supercapacitor materials and relevant device fabrications.
Array Grating Lobe Elimination of F-MIMO HF Radar with Colocated Antennas

Multiple-input multiple-output (MIMO) radar with frequency diversity (f-MIMO) is applied to HF radar. An array processing model of f-MIMO HF radar is developed. To eliminate the grating lobe of f-MIMO radar beamforming, two approaches are proposed. One is to apply particle swarm optimization (PSO) algorithm to select the optimal carrier frequency combination. Another is to extract array elements from the virtual receive array to get the optimal sparse array structure, and the simplified physical receive array structure is proposed. Simulation results demonstrate the effectiveness of the method proposed.
Development of a karyotype associated with the genome map and its applications in identification and characterization of chromosomes in peanut

Background Chromosomal structural variants are important materials for crop breeding and genetic research. Oligo fluorescence in situ hybridization (oligo FISH) is a useful tool for the identification of chromosomal structural variants. Results We developed 114 new repetitive oligos based on genome-wide tandem repeats (TRs) using genomic reference sequences of the cultivar Tifrunner and the diploid species Arachis ipaensis by bioinformatics and FISH. These oligo probes were positioned and classified into 28 types. Signals produced by representative probes from eight types were in the secondary constriction, middle arm, and terminal regions; signals of four probe types were on the B subgenome; and one probe being able to produce signals on only one pair of chromosomes could be used to recognize a special genome or chromosomes of peanut. Based on new and previous oligo probes, we developed a cocktail Multiplex #3 including FAM modified TIF-439, TIF-185-1, TIF-134-3, TIF-165-3, and TAMRA modified Ipa-1162, Ipa-1137, DP-1, and DP-5, which combined with the total genomic DNA of A. duranensis and A. ipaensis probes, and 45S rDNA and 5S rDNA probes to establish a karyotype associated with the genome map of peanut and identify 14 chromosomal structural variants. Conclusions The new oligo probes are useful and convenient for distinguishing peanut chromosomes or specific segments of peanut chromosomes. Comparisons of oligo sites in the karyotype and chromosome plots of electronic location revealed the characteristics of repeated sequences, and showed that the assembly of repeated sequence in peanut genomic reference sequence was incomplete. We therefor demonstrated the great potentials of the new oligo probes in facilitating chromosome identification and characterization, and provided novel materials for further study and genetic improvement of peanut.
The potential effects of variation orders on institutional building projects

Purpose – To provide an in‐depth analysis of the potential effects of variations in institutional building projects, which would be helpful for building professionals in assessing and taking proactive measures for reducing the adverse impact of variations.Design/methodology/approach – To achieve the study objectives, a questionnaire survey was carried out to collect information on potential effects of variations. Responses from 28 professionals working for a developer organization (a government agency) were analyzed. Furthermore, 26 face‐to‐face interviews using the questionnaires were also analyzed.Findings – The results suggest that the most frequent effects of variations were increase in project costs, additional payments for contractor, progress affected but without any delay, completion schedule delay, increase in overhead expenses and rework and demolition. Recommendations were suggested based on the findings of the research and literature review.Research limitations/implications – This paper presen.
Saturated leakage reactances of cage induction motors

The paper presents a method of predicting the saturation of the leakage reactances of cage induction motors. It commences with a discussion of leakage fluxes and reactances and the manner in which they are affected by magnetic saturation. The calculation of the components of leakage reactance under unsaturated conditions is described. The theory then progresses to the calculation of the magnitude and phase of the leakage-flux components likely to be affected by saturation, and to the determination of the leakage-flux paths. A general method is given for computing reduction factors, or saturation factors, to be applied to those components of leakage reactance with saturable associated fluxes. A logical system for dealing with complex magnetic circuits which contain combinations of fluxes in a number of saturable areas is described and explained by the use of examples. Saturable areas in the magnetic circuits of induction motors are defined for a number of alternative slot shapes. The variation of skew-leakage flux, and therefore of the saturation, as a function of axial position is treated by subdividing the core length into short sections and summing their reactances. Results of computations are compared with test results on 18 medium and large motors, and good correlations are shown for both unsaturated and saturated locked-rotor impedances.
Development of a real-time multi-objective scheduler for a semiconductor fabrication system

Semiconductor wafer fabrication involves possibly one of the most complex manufacturing processes ever used. This causes a number of decision problems. A successful system control strategy would assign appropriate decision rules for decision variables. Therefore, the goal of this study is to develop a scheduler for the selection of decision rules for decision variables in order to obtain the desired performance measures given by a user at the end of a certain production interval. In this proposed methodology, a system control strategy based on a simulation technique and a competitive neural network is suggested. A simulation experiment was conducted to collect the data containing the relationship between the change of decision rule set and current system status and the performance measures in the dynamic nature of semiconductor manufacturing fabrication. Then, a competitive neural network was applied to obtain the scheduling knowledge from the collected data. The results of the study indicate that applying this methodology to obtaining a control strategy is an effective method considering the complexity of semiconductor wafer fabrication systems.
Capillary Refill Time in Adults Has Poor Inter-Observer Agreement

Objectives Capillary refill time (CRT) has been taught as a rapid indicator of circulatory status but to be a useful clinical test, CRT needs to be reproducible when performed by another health care worker. No inter-rater agreement studies have been reported for adult patients. The aim of this study was to determine the inter-observer reliability of CRT in a sample of adult emergency department (ED) patients. Methods This prospective observational study included clinically stable ED patients with a variety of conditions from two community EDs. A doctor and a nurse each measured CRT by estimation to the nearest half-second using a standard method on each patient. They were blinded to each other's measurements. The primary outcome of interest was inter-rater agreement. Secondary outcome was agreement in classification as normal or abnormal according to accepted definitions. Data was analysed using bias plot analysis, correlation, absolute percent agreement and kappa analysis. Results Totally, 209 patients were enrolled; 51% were female and 86% were Caucasian. Median CRT was 2 seconds (95% CI 2–2.35 seconds). The mean difference between measurements by the different observers was 0 second, however the 95% limits of agreement were very wide (–1.7 to +1.9 seconds). Agreement was 70% for classification of ‘normal’ or ‘abnormal’ using the 2-second definition of normal, with a kappa of 0.38. Conclusion Interobserver agreement in measurement of CRT was poor in adult subjects with wide limits of agreement. This is a serious threat to the appropriateness of this test for use in clinical practice.
Fatty Liver and Impaired Hepatic Metabolism Alters the Congener-Specific Distribution of Polychlorinated Biphenyls (PCBs) in Mice with a Liver-Specific Deletion of Cytochrome P450 Reductase

Polychlorinated biphenyls (PCBs) are persistent organic pollutants that are linked to adverse health outcomes. PCB tissue levels are determinants of PCB toxicity; however, it is unclear how factors, such as an altered metabolism and/or a fatty liver, affect PCB distribution in vivo. We determined the congener-specific disposition of PCBs in mice with a liver specific deletion of cytochrome P450 reductase (KO), a model of fatty liver with impaired hepatic metabolism, and wildtype (WT) mice. Male and female KO and WT mice were exposed orally to Aroclor 1254, a technical PCB mixture. PCBs were quantified in adipose, blood, brain and liver tissues by gas chromatography-mass spectrometry. PCB profiles and levels in tissues were genotype and sex dependent. PCB levels were higher in the liver from KO compared to WT mice. PCB profiles showed clear differences between tissues from the same exposure group. While experimental tissue : blood partition coefficients in KO and WT mice did not follow the trends predicted using a composition-based model, the agreement between experimental and calculated partition coefficients was still reasonable. Thus, a fatty liver and/or an impaired hepatic metabolism alter the distribution of PCBs in mice and the magnitude of the partitioning of PCBs from blood into tissues can be approximated using composition-based models.
Research on Broadband Power Amplifier Adaptive Digital Pre-Distortion Based on FPGA Technology

In this paper, we use the adaptive function model to improve FPGA digital pre-distortion technique, design the adaptive pre-distortion function and algorithm, and adopt PC-CFR technique to process digital distortion problem in high order modulation, and obtain very good effect of digital signal processing. In order to verify the validity and reliability of PC-CFR technology, we use Agilent 89600 VSA software to exquisite power output signal before and after the broadband power amplifier pre-distortion. The results shows that before PC-CFR pre-distortion processing, phase difference of AM/PM reaches a maximum of 0.258, signal distortion is more serious; and after the PC-CFR pre-distortion processing, phase difference is only 0.021, the minimum is 0.005, which controls the distortion signal and improves the signal transmission quality. It provides technical reference to study the broadband power amplifier technology.
Research of Landmine Detection Using Terahertz Technology

The detection of landmines has become a hard task to deal with because of the diversity of landmines and the complexity of minefield. The development of terahertz technologies has provided a feasible way to detect the buried landmines. Landmines’ shell is usually made of ceramics, plastics, even wood and so on, which terahertz wave could penetrate them easily. The explosives are the major part of landmines. Many types of explosives have the characteristic spectrum in terahertz range, so it would be an effective method to detect landmines by measuring the spectrum of explosives with terahertz time-domain spectroscopy.
Modified current-fed full-bridge isolated power factor correction converter with low-voltage stress

One drawback of the conventional current-fed full-bridge (CFFB) power factor correction (PFC) converters is extremely high-voltage spikes on metal oxide semiconductor field effect transistors (MOSFETs), which cause many problems such as high-voltage high-cost devices used, unreliability and burdensome magnetising components imposed. To overcome above shortcomings, a new isolated CFFB PFC converter featuring efficiency improvement, high input current quality and good common mode (CM) noise performance is proposed in this study. The voltage spikes are effectively eliminated by using a non-dissipative clamping structure resulting of no-loss consumption and low-voltage MOSFETs used. Additionally, to evaluate the conducted electromagnetic interference behaviour, the differential mode loop and CM loop models are also presented. Two testing hardware systems with 180–240 V input, 380 V/1 kW output of the conventional CFFB PFC and proposed PFC were built and inspected to compare their performances. The experimental results showed that the proposed topology completely eliminated the voltage spike on MOSFETs. The efficiency was largely improved by utilising of high-performance MOSFETs. In consequence, the experimental results reveal the preponderance of the proposed PFC converter to the previous researches on this topic.
A Roadmap for the Design of Bioreactors in Mechanobiological Research and Engineering of Load-Bearing Tissues

In the field of tissue engineering, a bioreactor is a valuable instrument that mimics a physiological environment to maintain live tissues in vitro. Although bioreactors are conceptually relatively simple, the vast majority of current bioreactors (commercial and custom-built) are not fully adapted to current research needs. Designing the optimal bioreactor requires a very thorough approach to a series of steps in the product development process. These four basic steps are: (1) identifying the needs and technical requirements, (2) defining and evaluating the related concepts, (3) designing the apparatus and drawing up the blueprints, and (4) building and validating the apparatus. Furthermore, the design has to be adapted to the specific purpose of the research and how the tissues will be used. In the emerging field of bioreactor research, roadmaps are needed to assist tissue engineering researchers as they embark on this process. The necessary multidisciplinary expertise covering micromechanical design, mechatronics, viscoelasticity, tissue culture, and human ergonomics is not necessarily available to all research teams. Therefore, the challenge of adapting and conducting each step in the product development process is significant. This paper details our proposal for a roadmap to accompany researchers in identifying their needs and technical requirements: step one in the product development process. Our roadmap proposal is set up in two phases. Phase 1 is based on the analysis of the bioreactor use cycle and phase 2 is based on the analysis of one specific and critical step in the use cycle: conducting stimulation and characterization protocols with the bioreactor. A meticulous approach to these two phases minimizes the risk of forgetting important requirements and strengthens the probability of acquiring or designing a high performance bioreactor. [DOI: 10.1115/1.4005319]
Global Warming (GW) & Extreme Weather (EW) Link: Are Cold Extremes On The
Rise?

The ongoing debate on the GW/EW link continues unabated; media and environmentalists have linked the warming of the earth’s climate (due to human-CO2 emissions) as being responsible for more extreme weather (EW) events in recent years. The IPCC (Intergovernmental Panel on Climate Change, a UN Climate Body) has identified several EW events (e.g., heat waves, droughts, floods) as being linked to the warming of the climate [1, 2, 3].
FPAA suitability as analog front-end for biosignals

The use of Field Programmable Analog Arrays (FPAAs) for analog conditioning of electric potentials on the surface of living tissue, such as Electrocardiography (ECG), is presented in this paper. The inherent reconfigurable capability of these devices provides versatility for circuitry dynamic tuning, i.e., changing amplification gains, filters corner frequencies, signal common levels, etc., without interrupting the signal acquisition path. A study of internal circuitry noise sources is presented and some configurations that attenuate noise effects are proposed.
Characteristic Parameters of Surface Electromyography Signals of Cervical Muscles

Surface electromyography (SEMG) signals of cervical muscles are investigated by time-frequency analysis and biomechanics analysis. Medium frequency (MF) and integrated electromyography (IEMG) are extracted and analyzed from SEMG signals of subjects’ upper trapezius. The Experimental results show that the value of MF decreases and the value of IEMG increases with the increase of fatigue of the vertical muscles. Also, the values of IEMG at different testing points of same cervical muscle are compared. The value of IEMG with higher resistant moment is higher than that with lower resistant moment. That means the muscle with high resistance moment is easier to be fatigue. This investigation is important for people, especially those who work/read with bowing head or before computer for a long time, to prevent cervical spondylosis.
Aligning Misaligned Systemic Innovations: Probing Inter-Firm Effects Development in Project Networks

Implementing systemic innovations in a project network can significantly improve its performance; however, implementing systemic innovations is difficult if project network structures misalign to the innovation. Little research has examined how project network structures can align to systemic innovations. To address this research gap, we studied an advanced building information modeling tool implemented in a Finnish design and development project network. We found that misaligned innovations are aligned through a process of task sequence alignment, knowledge base alignment, and work allocation alignment. Our findings are important; they suggest that implementing systemic innovations in project networks is a multistage inter-firm process.
Vision Algorithms for Formation Flight and Aerial Refueling with Optimal Marker Labeling

This pa per presents the experimental results of an artificial vision system prototype for application to unmanned formation flight and aerial refueling. In the former, a camera on the wingman captures leader images, estimating the relative position; in the latte r, using probe -and -drogue refueling, the aircraft camera acquires basket images, and from that estimating the relative position. Position estimation is based on localization of infrared markers which hav e a known geometry distribution over the leader airfr ame or drogue body . Experimental results using a low cost simulated formation flight setup are shown, to validate the procedure.
Avoiding Forward Car Collision using Stereo Vision System

This paper presents a model of stereo vision system for intelligent vehicles to avoid forward car collision. Approached vehicle extraction and distance estimation algorithm based on dense edge map calculation and ROI filter. Primary experiments have been executed modeling vision system in a virtual computer reality. Special developed software has been used to simulate virtual environment and vision system. Results shows that approached algorithm successfully extracted not only vehicles but and other potential obstacles, such as, pedestrians. DOI: http://dx.doi. org/10.5755/j01.eee. 18.8. 2609