Miracle-dz/UniFAR-FTUs huggingface dataset:
Connecting and making coherent teachers' knowledge: Building a knowledge-oriented culture

This paper is partly based on a doctoral thesis entitled Knowledge creation, knowledge sharing and knowledge use: A case study. The paper challenges teacher librarians to view themselves as knowledge architects in the designing and sustaining of a teachers' learning community - one which values teachers' knowledge as core business in the school. This paper builds a case for teacher librarians to realign their role by focusing on their colleagues' knowledge and asking: "How can teachers' knowledge be shared, and captured and disseminated to better enable a knowledge-oriented culture? "' and "What are the structures and processes that bring teachers' knowledge out into the open to be shared? " Part A of this paper presents a synopsis of the study's purpose, rationale and key issues. It brings together the theories of learning community and knowledge management in establishing a discourse that is centred on valuing, connecting and making coherent teachers' knowledge as essential in enabling a knowledge-oriented culture to grow and to flourish. Part B presents an overview of the study with a focus on one of its three themes: knowledge sharing. Part C concludes with a brief discussion on how this research can contribute to the role of school libraries and teacher librarians in the emerging discourse on professional learning and knowledge sharing within and across work place units.
Analysis of Optimal Landing Trajectory in Attitude Angular Velocity Influence at Powered Descent Phase of Robotic Lunar Lander

In this paper, we propose a lunar landing scenario of a robotic lunar landing mission and implements an optimal landing trajectory at the powered descent phase based on the proposed scenario. The change of attitude of the lunar lander in the power descent phase affects not only the amount of fuel used but also sensor operation of image based navigation. Therefore, the attitude angular velocity is included in the cost function of the optimal control problem to minimize the unnecessary attitude change when the optimal landing trajectory generates at powered descent phase of the lunar landing. The influence of the change of attitude angular velocity on the optimal landing trajectory are analyzed by adjusting the weight of the attitude angular velocity. Based on the results, we suggest the proper weight to generate the optimal landing trajectory in order to minimize the influence of the attitude angular velocity.
Ant colony optimisation for coloured travelling salesman problem by multi‐task learning

Traditional algorithms, such as genetic algorithm and simulated annealing, have greatly attracted a lot of research studies due to their simplicity and flexibility to solve coloured travelling salesman problem (CTSP). However, their performance is limited in solution quality and convergence speed. To improve these limitations, this study presents a fast and effective ant colony optimisation (FEACO) algorithm. In the proposed FEACO, a new pheromone updating mechanism is incorporated into the traditional ant colony optimisation (ACO) to improve its performance. Furthermore, a multi-task cooperative learning approach is employed to solve CTSP. In it, multiple tasks in a shared city set are cooperatively carried out by all salesmen, but each task in exclusive city sets is independently performed by an appointed salesman. In ACO and FEACO, feasible solutions can be found for CTSP by cooperative learning, which is carried out by the cooperation of a set of ants. During the process, ants can cooperate to find good solutions by utilising the pheromone deposited on the paths while ants pass them. Compared with state-of-the-art algorithms, the experimental results on both small scale and larger scale show that the proposed method has potential to provide an improvement in solution quality and convergence speed.
Formation of Highly Permeable Soil on a Heavy Soil Base Under Tidal Irrigation and Drainage Conditions

Abadan date palm plantations have long been irrigated by rivers under the tidal effects of the Persian Gulf. During high tides, river water makes subirrigation possible while during low tides the same ditches drain out the plant root zone. Recently parts of the plantation have been under traditional drainage and surprisingly failed to work efficiently. In order to find the cause, the hydraulic conductivity of the soil layers was measured using parallel drains which show that the topsoil up to 70 cm is very permeable, but then up to 95 cm it is impermeable. Piezometric measurements also show that the soil between 70 and 130 cm is impermeable. The ratio of contribution (RC) of the soil layers to the total flow in the soil profile decreases with depth. Values of the RC for the first 60 and 70 cm soil depths are about 91 and 98% respectively. Although soil texture in the first layer has been classified as clay, biological activities, mostly live roots, have changed both the magnitude and size of the pores. It was concluded that in tidal subirrigation, only the upper part of the soil which has been under the root spread can be assumed to be permeable. Copyright © 2018 John Wiley & Sons, Ltd.
Sensitivity Analysis of Performance Metrics to Different Parameters in Pavement Management System

1 A pavement management system is a useful tool for departments of transportation to address the 2 problems of limited budget and aging infrastructures. Previous research focuses mainly on the 3 budget allocation process, trying to improve the optimization algorithms and consider the 4 uncertainty of predictions for pavement deterioration. In any given pavement management 5 system, there are usually many parameters. However, analysis has not been performed to 6 determine the influence of different parameters on the pavement network performance. In this 7 paper, the sensitivity of performance metrics to different parameters is explored based on the 8 interstate pavement network in the U.S. state of Virginia by a probabilistic allocation network 9 model developed at MIT. A statistical method is applied to conduct the sensitivity analysis. The 10 sensitivity of performance metrics to different parameters is decided by p values, and the relative 11 significance of different parameters is compared and ordered by z-score statistics. 12
Methods for testing automation and control

During the commissioning of the substation automation systems (SASs) with protection, automation and control traditionally the main focus of testing is on testing the protection system and its settings. Protection testing uses established methods. When looking at the time spent during commissioning, testing the automation and communication system nowadays consumes even more time than testing the protection. Automation systems became increasingly complex and the efforts for testing communication and proper operation of all signals transmitted to the supervisory control and data acquisition (SCADA) systems grew dramatically. This study describes a new approach to be used in all phases of the lifecycle of SAS. By utilizing the data available in substation configuration description (SCD) files it is possible to introduce new and more efficient methods for factory acceptance testing (FAT) and site acceptance testing (SAT). The approach identifies potential signals to be tested in the SCD file. Communication links and the used IEC 61850 services are recognized, documented and can be used for generating test plans. These test templates can be created during the specification phase, adapted for FAT and subsequently reused during SAT. Requirements for test equipment will be identified. An example of technical realization will be presented.
Chipless Radio Frequency Identification (RFID) Sensor for Angular Rotation Monitoring

A novel, chipless, Radio Frequency Identification (RFID) sensor is proposed for monitoring angular rotation. The rotation state is recovered by collecting the cross polar response of a tag, based on a periodic surface composed of a set of dipoles. The encoding mechanism allows the sensor to be very robust, even if it is applied on metallic objects, or in an environment with strong multipath. The proposed sensor does not require a large operational bandwidth. Instead, only a small set of reading frequencies are required. The number of reading frequencies required is dependent on the number of the employed dipoles. It is demonstrated that the rotation state of an object can be monitored within a span of 180 degrees, with up to a three-degree resolution, by employing a chipless RFID sensor comprising of four dipoles. The far field reading scheme and the absence of any electronics device allow the sensor to be employed in harsh environments.
New Criterion of Converter Transformer Differential Protection Based on Wavelet Energy Entropy

For converter transformer, current differential protection fails to operate in the case of internal fault occurs during dc bias or inrush current. Therefore, a new criterion is proposed in this paper to construct a new differential protection scheme. The new criterion is established by the ratio of wavelet energy entropy (RWEE) of current fault component on the primary to that on the secondary side. Once an internal fault occurs, the energy entropy (WEE) of the primary side is much larger than that on the secondary side, and then a large RWEE can be obtained. Otherwise, WEE of both sides are similar, and RWEE is around one. The simulation results show that the proposed criterion can perform well under inrush current, CT saturation, and dc bias conditions. It can discriminate the internal fault from external fault. Most importantly, it avoids the refusal of tripping when an internal fault occurs.
Risk-Averse Optimal Bidding of Electric Vehicles and Energy Storage Aggregator in Day-Ahead Frequency Regulation Market

The need for frequency regulation capacity increases as the fraction of renewable energy sources grows in the electricity market. An aggregator can provide frequency regulation by controlling its generation and demand. Here we investigate the participation of an aggregator controlling a fleet of electric vehicles (EVs) and an energy storage (ES) in day-ahead regulation and energy markets and determine the optimal size of the aggregator's bids. The problem is formulated as a stochastic mixed integer linear programming model, taking into account the uncertainties regarding energy and frequency regulation prices. The risks associated with the uncertainties are managed using the conditional value-at-risk method. Because most EVs are charged in residential distribution networks, load flow constraints are also taken into account. A linear formulation based on the rainflow cycle counting algorithm is proposed to include the ES degradation costs incurred from following the frequency regulation signals into the objective function. The problem is studied within the context of a medium-voltage distribution network adopting the market rules of the California Independent System Operator. The results of the numerical analysis show how joint optimization of EVs and ES can improve the aggregator's profit, and verify that the proposed degradation cost formulation can effectively minimize the degradation costs of the ES.
Exome sequencing identifies novel susceptibility genes and defines the contribution of coding variants to breast cancer risk.

Linkage and candidate gene studies have identified several breast cancer susceptibility genes, but the overall contribution of coding variation to breast cancer is unclear. To evaluate the role of rare coding variants more comprehensively, we performed a meta-analysis across three large whole-exome sequencing datasets, containing 16,498 cases and 182,142 controls. Burden tests were performed for protein-truncating and rare missense variants in 16,562 and 18,681 genes respectively. Associations between protein-truncating variants and breast cancer were identified for 7 genes at exome-wide significance (P<2.5x10-6): the five known susceptibility genes BRCA1, BRCA2, CHEK2, PALB2 and ATM, together with novel associations for ATRIP and MAP3K1. Predicted deleterious rare missense or protein-truncating variants were additionally associated at P<2.5x10-6 for SAMHD1. The overall contribution of coding variants in genes beyond the previously known genes is estimated to be small.
Operational Considerations of Passing Zones for Two-lane Highways: Spanish Case Study

The U.S. Highway Capacity Manual (HCM 2010) methodology is used in Spain to evaluate traffic operation and quality of service. In two-lane undivided highways, the effect of limiting where drivers could pass slower vehicles, or passing restrictions, is considered through the percentage of no-passing zones. This measure does not account for how passing opportunities are distributed along the road. The objective of this research was to evaluate the effect percentage of no-passing zones and average passing zone length on a two-lane highway and, if significant, incorporate them in the analysis methodology,. The TWOPAS microsimulation program was calibrated and validated to the Spanish conditions. Passing restrictions had little effect on average traffic speed (ATS), with differences lower than 6 km/h between a road segment with no passing restrictions and a road segment with a passing restriction on 100% of its length. Conversely, passing restrictions can increase the percent time spent following (PTSF) up to 30%. Increasing the passing zone length beyond 2,000 m does not improve PTSF. The new models could be used to better estimate traffic operation on Spanish two-lane highways.
Interactive technology embedded in fashion emotional design

PurposeThe purpose of this paper is to bridge the gap between human emotions and wearable technologies for interactive fashion innovation. To consider the reasons why smart clothing should satisfy the internet of things (IoT) technical functions and human emotional expression simultaneously, to investigate the manner in which artistic design perspectives and engineering methods combined effectively, to explore the R&D elements of future smart clothing based on the IoT technology.Design/methodology/approachThis study combines artistic design perspectives with information-sensing engineering methods as well askanseievaluation method. Micro-sensors and light-emitting diodes (LEDs) embedded in couples clothing prototype. The first experiment step in the design and production of prototype clothing, and do the initial emotional evaluation. The second experiment is the comparative evaluation of the prototype and other typical smart clothing.FindingsThe interactive clothing prototype was proven to correlate well with human emotional expressive patterns. The evaluation I indicated the prototype can stimulate the emotional response of the participants to achieve a higher score in the activate sensor state. Evaluation II revealed that in the process of interactive clothing design, the technical functionality should synchronize with the requirements of human emotional expression.Originality/valueThis study builds the research and development theoretical model of interactive clothing that can be integrated into daily smart clothing life design, and analyze the methods and means of blending IoT smart information-sensing technology with emotional design. By means of this experimental demonstration of human-centered interactive clothing design, the authors provide smart clothing 3.0 evolutionary roadmap and propose a new concept of internet of clothes (IoC) for further research reference.
Operation Scheduling of Household Load, EV and BESS Using Real Time Pricing, Incentive Based DR and Peak Power Limiting Strategy

Abstract Demand response (DR) programs have become powerful tools of the smart grids, which provide opportunities for the end-use consumers to participate actively in the energy management programs. This paper investigates impact of different DR strategies in a home-energy management system having consumer with regular load, electric vehicle (EV) and battery-energy storage system (BESS) in the home. The EV is considered as a special type of load, which can also work as an electricity generation source by discharging the power in vehicle-to-home mode during high price time. BESS and a small renewable energy source in form of rooftop photovoltaic panels give a significant contribution in the energy management of the system. As the main contribution to the literature, a mixed integer linear programming based model of home energy management system is formulated to minimize the daily cost of electricity consumption under the effect of different DR programs; such as real time price based DR program, incentive based DR program and peak power limiting DR program. Finally, total electricity prices are analysed in the case studies by including different preferences of the household consumer under mentioned DR programs. A total of 26.93 % electricity cost reduction is noticed with respect to base case, without peak limiting DR and 19.93 % electricity cost reduction is noticed with respect to base case, with peak limiting DR.
Combinations of ERK and p38 MAPK Inhibitors Ablate Tumor Necrosis Factor- a (TNF- a ) mRNA Induction EVIDENCE FOR SELECTIVE DESTABILIZATION OF TNF- a TRANSCRIPTS*

Tumor necrosis factor- a (TNF- a ) is a potent proinflammatory cytokine whose synthesis and secretion are implicated in diverse pathologies. Hence, inhibition of TNF- a transcription or translation and neutralization of its protein product represent major pharmaceutical strategies to control inflammation. We have studied the role of ERK and p38 mitogen-activated protein (MAP) kinase in controlling TNF- a mRNA levels in differentiated THP-1 cells and in freshly purified human monocytes. We show here that it is possible to produce virtually complete inhibition of lipopolysaccharide-stimulated TNF- a mRNA accumulation by using a combination of ERK and p38 MAP kinase inhibitors. Furthermore, substantial inhibition is achievable using combinations of 1 m M of each inhibitor, whereas inhibitors used individually are incapable of producing complete inhibition even at high concentrations. Finally, addressing mechanisms involved, we show that inhibition of p38 MAP kinase selectively destabilizes TNF- a transcripts but does not affect degradation of c- jun transcripts. These results impinge on the controversy in the literature surrounding the mode of action of MAP kinase inhibitors on TNF- a mRNA and suggest the use of combinations of MAP kinase inhibitors as an effective anti-inflammatory strategy.
Broadband branch-line balun with good isolation and impedance matching

ABSTRACT Primary challenges of developing a branch-line balun lie in the output isolation and impedance matching. A two-order branch-line balun topology, featuring enhanced electric performance, is studied in this paper. Results show that by loading series resistors on the arm between the outputs, both impedance matching and port isolation can be achieved simultaneously. Moreover, with a two-section in cascade, small magnitude and phase imbalances are found within a wide frequency band. A prototype demonstrator, centered at 5 GHz, is further optimally designed, fabricated, and examined experimentally. Good results confirm the study of this contribution.
RHEUMATOLOGY WORKFORCE IN LATIN AMERICA: TRAINING AND CURRENT STATUS PATIENT EDUCATION IN PSORIATIC ARTHRITIS: A SERVICE EVALUATION AT ONE YEAR

Background: Systemic sclerosis-associated interstitial lung disease (SSc-ILD) has traditionally been treated with therapies such as cyclophosphamide, myco-phenolate mofetil, and hematopoietic stem cell transplantation. However, these therapies are limited by potential toxicity, as well as duration and magnitude of effect. Clinicians need awareness of emerging therapies in late-stage clinical tri- als that may address these limitations. Objectives: This study was conducted to determine whether online independent medical education could improve rheumatologists’ and pulmonologists’ knowledge of emerging therapies for the management of SSc-ILD. Methods: Physicians (N = 2,076) participated in a 30-minute, 2-faculty, vid-eo-based, online CME with synchronized slides. 1 The majority of participants were rheumatologists (n = 522) or pulmonologists (n = 557), but the cohort also included clinical immunologists (n = 132) and other physicians with an interest in the topic (n = 865). This study focuses on the 120 rheumatologists and 111 pulmonologists who completed all pre- and post-questions. The effects of the education on knowledge was assessed using a 3-question, repeated pairs, pre-assessment/post-assessment
Design and Implementation of an Intelligent Motorcycle Helmet for Large Vehicle Approach Intimation

This paper proposes an intelligent motorcycle helmet that includes two miniature infrared transceivers, a miniature image sensor (camera), an embedded computation processing (ECP) module, a battery charging module, a microphone, and earphones. Two large truck/bus vehicle registration plate image recognition modes (day and night) are designed and implemented for the purpose of large truck/bus approach intimation. In total, 600 images of rear-approaching trucks/buses on an actual road from 10 motorcyclists during day and night conditions are used to test the accuracy of the vehicle registration plate recognition. The experimental results show that the intelligent helmet proposed can successfully recognize an image of the vehicle registration plate of a large truck/bus in Taiwan. The accuracy of the vehicle registration plate recognition is up to 75% during the day and 70% at night. As a result, the intelligent motorcycle helmet proposed can detect the vehicle registration plate of an approaching large truck/bus in real time within a distance of 5 m.
The Relative Influence of IS Project Implementation Policies and Project Leadership on Eventual Outcomes

Project leadership and a favorable development environment both are important to the successful delivery of an information system (IS). One issue that confronts organizations is where the responsibility for creating a positive environment lies. Should the project manager be responsible for building the climate to suit the needs of the project team, or should the organization provide the climate? Data from a survey of Project Management Institute members involved with IS projects indicates that the project manager's performance is a better predictor of project outcome, but preproject partnering and software implementation policies directly relate to the project manager's performance.
Risk Minimizing Price-Rebate-Return Contracts in Supply Chains With Ordering and Pricing Decisions: A Multimethodological Analysis

In recent years, we have witnessed the wide implementation of many sophisticated supply contracts in the industry, such as the price, rebate, and return (P2R) contract. The P2R contract is offered by the manufacturer to the retailer. In this paper, a practice-based approach is adopted in which we first report the use of P2R contracts in the real world from industrial interviews. Based on the meanings of risk as revealed from the interviews, we proceed to construct analytical models and derive the minimum risk coordinating P2R (PMR*) contract, which yields the minimum level of risk for the manufacturer and coordinates the supply chain. We analytically show that the manufacturer's expected profit is increasing with the return price and the rebate value under the PMR* contract. We reveal that different risk measurements may lead to different PMR* contracts. In particular, when the price-dependent demand distribution takes the additive form, we interestingly find that the manufacturer can become riskfree in coordinating the supply chain with the PMR* contract; however, it is not the case for the multiplicative case. Furthermore, we observe that the demand distribution's shape affects the setting of the PMR* contract. Managerial implications are also discussed.