Miracle-dz/UniFAR-FTUs huggingface dataset:
What's the buzz about moving from ‘lean’ to ‘agile’ integrated supply chains? A fuzzy intelligent agent-based approach

The ability to build lean and agile supply chains has not developed as rapidly as anticipated, because the development of technology to manage such concepts of lean/agile for integrated supply chains is still under way. Also, due to ill-defined and vague indicators, which exist within leanness/agility assessment, many measures are described subjectively by linguistic terms, which are characterized by vagueness and multi-possibility, and the conventional assessment approaches cannot suitably or effectively handle such dynamic situations. In this paper, we propose a novel approach to model agility (which includes leanness) and introduce dynamic agility level index (DALi) through fuzzy intelligent agents. Generally, it is difficult to emulate human decision making if the recommendations of the agents are provided as crisp, numerical values. The multiple intelligent agents used in this study communicate their recommendation as fuzzy numbers to accommodate ambiguity in the opinion and the data used for modelling agility attributes for integrated supply chains. Moreover, when agents operate based on different criteria pertaining to agility like flexibility, profitability, quality, innovativeness, pro-activity, speed of response, cost, robustness, etc., for integrated supply chains, the ranking and aggregation of these fuzzy opinions to arrive at a consensus is complex. The proposed fuzzy intelligent agents approach provides a unique and unprecedented attempt to determine consensus in these fuzzy opinions and effectively model dynamic agility. The efficacy of the proposed approach is demonstrated with the help of an illustrative example.
The documents of Vatican II

Some people may be laughing when looking at you reading in your spare time. Some may be admired of you. And some may want be like you who have reading hobby. What about your own feel? Have you felt right? Reading is a need and a hobby at once. This condition is the on that will make you feel that you must read. If you know are looking for the book enPDFd documents of vatican ii as the choice of reading, you can find here.
Study on Hand–Eye Cordination Area with Bare-Hand Click Interaction in Virtual Reality

In virtual reality, users’ input and output interactions are carried out in a three-dimensional space, and bare-hand click interaction is one of the most common interaction methods. Apart from the limitations of the device, the movements of bare-hand click interaction in virtual reality involve head, eye, and hand movements. Consequently, clicking performance varies among locations in the binocular field of view. In this study, we explored the optimal interaction area of hand–eye coordination within the binocular field of view in a 3D virtual environment (VE), and implemented a bare-hand click experiment in a VE combining click performance data, namely, click accuracy and click duration, following a gradient descent method. The experimental results show that click performance is significantly influenced by the area where the target is located. The performance data and subjective preferences for clicks show a high degree of consistency. Combining reaction time and click accuracy, the optimal operating area for bare-hand clicking in virtual reality is from 20° to the left to 30° to the right horizontally and from 15° in the upward direction to 20° in the downward direction vertically. The results of this study have implications for guidelines and applications for bare-hand click interaction interface designs in the proximal space of virtual reality.
Parameters affecting the performance of fiber optic displacement sensors

The application of fiber optical sensors (FOSs) in displacement measurement has the advantage that physical contact is not required. In this paper, work is reported consisting of various experiments that have been conducted in order to verify the effect that various parameters might possibly have on the accuracy of FOS displacement measurement. It is to be expected that the texture and reflectivity of the surface of the test piece will affect the sensor’s output, as will possibly the thickness of transparent material in front of the reflecting surface. Manufacturers of FOSs caution users on the effect of angularity of the sensor with respect to the surface normal but do not generally provide quantitative information on this topic. In addition, the combined effect of angularity induced from a surface displacement away or toward a stationary sensor is believed to be of interest to experimenters. This paper addresses all these issues.
Next generation ocean dynamical core roadmap project: final report. Report for the NERC Ocean Roadmap exercise

This document should be read in conjunction with the “Next Generation Ocean Dynamical Core Roadmap Project: Summary and Recommendations” document, which provides a summary of the present “Final Report”, and a Roadmap for ways forward for UK ocean modelling over the next 5-15 years. It describes two complementary ways forward: first is the incremental evolution of the NEMO model, and second a new modelling initiative drawing on the GungHo project.
Eco-Friendly Control of Culex quinquefasciatus Say (Diptera: Culicidae) through Botanical Insecticides and Predatory Insects

Mirza Gul1*, Muhammad Zahid1, Ikram Ilahi2, Hazrat Ali2*, Fida Hussain3 and Muhammad Anwar Sajad3 1Department of Zoology, Islamia College Peshawar, Peshawar 25000, Khyber Pakhtunkhwa, Pakistan 2Department of Zoology, University of Malakand, Chakdara 18800, Dir Lower, Khyber Pakhtunkhwa, Pakistan 3Department of Botany, Islamia College Peshawar, Peshawar 25000, Khyber Pakhtunkhwa, Pakistan Article Information Received 07 June 2017 Revised 13 June 2018 Accepted 10 November 2020 Available online 07 October 2021
Direct and quantitative absorptive spectroscopy of nanowires

Photonic nanostructures exhibit unique optical properties that are attractive in many different applications. However, measuring the optical properties of individual nanostructures, in particular the absorptive properties, remains a significant challenge. Conventional methods typically provide either an indirect or qualitative measure of absorption. The objective of this thesis is to therefore demonstrate a method capable of directly and quantitatively measuring the absorptive properties of individual nanostructures. This method is based on atomic force microscope (AFM) cantilever thermometry where a bimorph cantilever is used as a heat flux sensor. These sensors operate on the principle of a thermomechanical bending response and by virtue of their dimensionality, are capable of picowatt sensitivity. To validate the use of this technique, a single silicon nanowire is measured. By attaching a silicon nanowire to a cantilever and illuminating the sample with monochromatic light, the absolute absorptance spectrum of the nanowire was measured and shown to match well with theory. This spectroscopic technique can conceivably be used to measure even smaller samples, samples which cannot be characterized using conventional methods. Thesis Supervisor: Gang Chen Title: Carl Richard Soderberg Professor of Power Engineering
Workpiece Temperature During Deep-Hole Drilling of Cast Iron Using High Air Pressure Minimum Quantity Lubrication

This research investigates heat generation and workpiece temperature during deep-hole drilling of cast iron under a high air pressure minimum quantity lubrication (MQL). The hole wall surface (HWS) heat flux, due to drill margin friction and high temperature chips, is of particular interest in deep-hole drilling since it potentially increases the workpiece thermal distortion. This study advances a prior drilling model to quantify the effect of higher air pressure on MQL drilling of cast iron, which is currently performed via flood cooling. Experiments and numerical analysis for drilling holes 200 mm in depth on nodular cast iron work material with a 10 mm diameter drill were conducted. Results showed that the low drill penetration rate can cause intermittent chip clogging, resulting in tremendous heat; however this phenomenon could be eliminated through high air pressure or high feed and speed. Conversely, if the drilling process is stable without chip clogging and accumulation, added high air pressure is found to have no effect on heat generation. The heat flux though the HWS contributes over 66% of the total workpiece temperature rise when intermittent chip clogging occurs, and around 20% to 30% under stable drilling conditions regardless of the air pressure. This paper demonstrated the significance of HWS heat flux and the potential of high air pressure used in conjunction with MQL technology.
The CAD of Group Animation based on Firefly Algorithm and Ant Colony Algorithm Fusion Algorithm

Abstrac t—Firefly Algorithm (FA) is a new meta-heuristic evolutionary algorithm and it has fast calculation and excellent global search capability. Ant Colony Algorithm (ACA) has a positive feedback mechanism and distributed optimization method. Its solution has high accuracy. For characteristics of FA and ACA, the FA and ACA fusion algorithm has advantages of two algorithms to overcome their own disadvantages. In a typical function test, it shows good optimization performance and efficient time performance. And then FA and ACA fusion algorithm is applied to group animation path design to save the animation designer’s labor, and it provides a new design method for the computer animation production.
Enhancing the Psychometric Properties of the Iowa Gambling Task Using Full Generative Modeling.

Poor psychometrics, particularly low test-retest reliability, pose a major challenge for using behavioral tasks in individual differences research. Here, we demonstrate that full generative modeling of the Iowa Gambling Task (IGT) substantially improves test-retest reliability and may also enhance the IGT's validity for use in characterizing internalizing pathology, compared to the traditional analytic approach. IGT data (n=50) was collected across two sessions, one month apart. Our full generative model incorporated (1) the Outcome Representation Learning (ORL) computational model at the person-level and (2) a group-level model that explicitly modeled test-retest reliability, along with other group-level effects. Compared to the traditional 'summary score' (proportion good decks selected), the ORL model provides a theoretically rich set of performance metrics (Reward Learning Rate (A+), Punishment Learning Rate (A-), Win Frequency Sensitivity (βf), Perseveration Tendency (βp), Memory Decay (K)), capturing distinct psychological processes. While test-retest reliability for the traditional summary score was only moderate (r=.37, BCa 95% CI [.04, .63]), test-retest reliabilities for ORL performance metrics produced by the full generative model were substantially improved, with test-retest correlations ranging between r=. 64-. 82 for the five ORL parameters. Further, while summary scores showed no substantial associations with internalizing symptoms, ORL parameters were significantly associated with internalizing symptoms. Specifically, Punishment Learning Rate was associated with higher self-reported depression and Perseveration Tendency was associated with lower self-reported anhedonia. Generative modeling offers promise for advancing individual differences research using the IGT, and behavioral tasks more generally, through enhancing task psychometrics.
Variation between Antagonistic Activity of Rosmarinus officinalis Essential Oil and Biosynthesized Silver Nanoparticles from the Essential Oil against Some Fungi

This study was conducted to evaluate the antagonistic activity of Rosmarinus officinalis L. (Rosemary) essential oil at different concentrations (500, 1000, 2000 or 3000 ppm) against three different fungi (Aspergillus niger, Penecillium notatum and Candida sp.), these isolates were isolated from air. On the other hand, a combination between the Rosemary essential oil and synthesized nanoparticles were tested against the isolated fungi. Results revealed that Rosemary essential oil exhibited the highest antifungal potentiality comparing to the antagonisty of the biosynthesized nanoparticles. The concentration 3000 ppm of the essential oil showed 100% mycelial growth inhibition of all the fungi. Aspergillus niger was the most sensitive which showed no growth in the concentrations 1000, 2000 or 3000 ppm. The biosynthesized silver nanoparticles from Rosemary essential oil exhibited a considerable fungicidal activity against all the fungal isolates. The inhibition of all fungal isolates increased as the concentrations of the synthesized silver nanoparticles increased. Asp. niger was the most sensitive fungi to the inhibitory impact of the Rosemary nanoparticles and Penicillium notatum manifested mild response, while Candida sp. was less sensitive.
Reliability of oxide VCSELs at Emcore

Recent data on 10 Gb/s oxide VCSELs are presented. We cover failure analysis results on VCSELs that failed in the field, including failures due to electrostatic discharge (ESD) and those inherent to the limitations of the present mesa structure used in oxide VCSELs. An ongoing experiment to overcome these limitations is discussed.
Melhoria contínua e aprendizagem organizacional: múltiplos casos em empresas do setor automobilístico

Fierce competition, highlighted by global competition has increasingly required organizations to adopt frequent and quick innovations to meet the current technological, economic, and political changes in society. Accordingly , the continuous improvement of products and production processes is necessary to keep the company competitive. However, many of these initiatives fail in organizations. In order to analyze how the mechanisms of learning support improvement activities, a field research based on case study of three companies in the automotive sector was carried out. The article concludes that in addition to programs and tools for solving problems, organizations need to develop environments that encourage learning and cooperation among its individuals working in human resources development to achieve continuous improvement.
Type Synthesis of 3-DOF Translational Parallel Manipulators Based on Screw Theory

A method is proposed for the type synthesis of 3-DOF (degree-of-freedom) translational parallel manipulators (TPMs) based on screw theory. The wrench systems of a translational parallel kinematic chain (TPKC) and its legs are first analyzed. A general procedure is then proposed for the type synthesis of TPMs. The type synthesis of legs for TPKCs, the type synthesis of TPKCs as well as the selection of actuated joints of TPMs are dealt with in sequence. An approach to derive the full-cycle mobility conditions for legs for TPKCs is proposed based on screw theory and the displacement analysis of serial kinematic chains undergoing small joint motions. In addition to the TPKCs proposed in the literature, TPKCs with inactive joints are synthesized. The phenomenon of dependent joint groups in a TPKC is revealed systematically. The validity condition of actuated joints of TPMs is also proposed. Finally, linear TPMs, which are TPMs whose forward displacement analysis can be performed by solving a set of linear equations, are also revealed.
A 3.1–10.6‐GHz Current‐Reused CMOS Ultra‐Wideband Low‐Noise Amplifier Using Self‐Forward Body Bias and Forward Combining Techniques

A 3.1–10.6‐GHz ultra‐wideband low‐noise amplifier (UWB LNA) with excellent phase linearity property (group‐delay variation is only ±19.46 ps across the whole band) using standard 0.18‐µm CMOS technology is reported. Current reused, self‐forward body bias and forward combining techniques are used to achieve low power and high‐power gain (S21). Both high and flat S21 and low and flat noise figure (NF) frequency responses are achieved by tuning the pole frequencies and pole quality factors of the second‐order gain and NF frequency responses to approximate the maximally flat condition simultaneously. The LNA dissipates 6.93‐mW power and achieves NF of 3.76 at 10 GHz. In addition, the LNA achieves input return loss (S11) smaller than −10.6 dB, and high and flat S21 of 11.02 ± 0.47 dB over the 3.1–10.6‐GHz band. The corresponding figure of merit (FOM) is 3.11 GHz/mW, one of the lowest FOMs ever reported for a 3.1–10.6 GHz CMOS UWB LNA. The measured input third‐order intermodulation point (IIP3) is −3.6 dBm at 6 GHz. © 2013 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:2296–2302, 2013
The Research of Wireless Mesh Network Routing Algorithm Based on Interference Model

On the basis of interference model, the article puts forward a self-adapting routing strategy of Wireless Mesh Network, which can significantly improve the efficiency of the routing by choosing a minimum interference path. Due to regularly-distributed self-adapting adjustment and load balance, the routing can adapt to the dynamic network environment. The simulation shows that IBAR can significantly improve the throughput performance compared with the traditional AODV and HWMP protocols.
A New Slip Algorithm for Use in Hardware-in-the-Loop Simulation to Evaluate Anti Slip Control of Vehicles

Hardware in the Loop (HIL) systems is widely used for testing vehicle controllers in automotive industry. But algorithms for simulation of the vehicle dynamics have to consider the special restrictions for HIL that is a fixed simulation time constant. Due to limitations of computing power the step size often is set to 1ms. Especially for calculation of the wheel slip this will cause a problem when speed starts from zero. Thats why a lot of authors propose a small vehicle speed at the beginning of the simulation. For evaluation of anti slip controllers in HIL systems this is not possible because stand still is the general starting point for the anti slip controller. Different ideas exist in literature to solve this problem but none of them consider the HIL restriction in an overall approach. In this paper a new algorithm for slip calculation is presented. Therefore two different approaches will be analyzed and combined to a new algorithm. Simulation results show the feasibility for HIL systems.
Association of Risk Factors with Musculoskeletal Disorders among Male Commercial Bus Drivers in Malaysia

A national study in Malaysia was conducted with the main objective being to determine the prevalence of musculoskeletal disorders (MSDs) and the association between risk factors and MSDs among Malaysian bus drivers. Cross‐sectional data were collected from 1,181 male commercial bus drivers in Malaysia using questionnaires to determine demographic, working characteristics and a translated Nordic questionnaire to determine MSD complaints. A Human Vibration Meter was used to measure whole body vibration (WBV) exposure, and postural analysis was used to evaluate awkward working posture. To assess psychological factors, the validated Profile of Mood States (POMS) was used. The overall prevalence of MSD was 81.8% and, by body parts, low back pain was reported to be the highest complaint of lifetime MSD (58.5%) compared to other body parts. The levels of WBV acceleration magnitude A(8) exceed the European Union Directive (0.54 m/s2 root‐mean‐square [r.m.s.] acceleration), and only 1.2% of the bus drivers adopt more than 40% of awkward postures while driving. Logistic regression analysis, controlling for age, income, education level, and work activities, revealed that factors such as lack of seat adjustability, uncomfortable seat, seat's material, seat contour and design, WBV exposure, smoking, frequency of daily trips, duration of daily driving, prolonged sitting, working part time, and psychological factors (namely, feeling stress, feeling worried, feeling fatigued) were important risk factors of MSDs among Malaysian bus drivers. As a conclusion, bus drivers are exposed to a combination of risk factors that may lead to an increased risk of developing MSDs. © 2012 Wiley Periodicals, Inc.
CoSi2/TiO2/SiO2/Si gate structure formation

Recently investigations of the technologies using self-organization and phase layering occur more and more frequently. Considerable simplifications of processes, self-alignment of elements and reduction of stage quantity are the reasons of that. In this work we present results of computer simulation and experimental study of CoSi2/TiO2/SiO2/Si gate structure formation technology which uses solid-phase diffusion and phase-layering. The bilayer of TiO2 and SiO2 was chosen as gate dielectric because titanium dioxide is possessed of extremely high dielectric permittivity and silicon dioxide has large band gap and high quality interface with Si. Because of its low resistivity CoSi2 is considered now as one of the most prospective material for metal gate electrodes. The technology which was simulated in this work allows to form such a gate structure during the sole annealing process. To compute the technology parameters the program, which take into account diffusion properties of Co, Ti, Si and O was realized. Also the same structure was formed by rapid thermal oxidation and magnetron sputtering, with following rapid annealing. Simulation and experimental results show that the technology can be used for gate structure formation.
Objects tracking in a dense reader environment utilising grids of RFID antenna positioning

One of the fundamental constraints in radio frequency identification (RFID) large scale deployment, such as in warehouse RFID deployment, is the positioning of RFID reader antennas to efficiently locate all the tagged objects distributed in a dense RFID reader environment. For tracking the tagged objects in a dense RFID deployment, the required number of reader antennas must be optimised in order to reduce the overall cost. This study proposes highly accurate square and hexagonal grid-based positioning and tracking techniques mainly for use indoors and includes performance comparison of both of these grids. The study involves the design of the square and hexagonal grid reader antenna networks and position calculation using a diffusion algorithm. Both of these grids of RFID antenna positioning present a solution for the problem of the placement pattern of RFID reader antennas in a dense reader environment, hence an optimal number of required reader antennas and guaranteed coverage can be achieved. This study also presents a path loss model that can be applied to predict the radio signal strength information at a certain distance. The proposed diffusion algorithm estimates RFID tag position by using distance information between the reader and the tag. The obtained results show that a square grid can yield higher positioning accuracy compared to the hexagonal grid. The obtained results further show that the proposed tracking techniques can achieve an average positioning error below 1 m, which is 85% better in some cases than the results obtained by other known methods.