Miracle-dz/UniFAR-FTUs huggingface dataset:
Graph-theoretic node importance mining in world city networks: methods and applications

Purpose This study aims to review the literature on graph-theoretic mining methods for node importance in both static and dynamic world city networks, which is correspondingly categorised by graph-theoretic node importance mining on network topologies and transmission mechanisms. Design/methodology/approach The authors overview the graph-theoretic indicators of node importance: centrality and power. Then, the methods of graph-theoretic node importance mining on network topologies are assessed with node relevance, centrality- and power-based measurements, heterogeneous fusion and other miscellaneous approaches. The latest progress in transmission mechanisms is also reviewed in this study involving network evolution, node immunisation and robustness in dynamics. Finally, the findings are analysed and future directions in this field are suggested. Findings The method development of node importance mining is driven by complex application-based problems within a transmission mechanism. Fusion measurements, based on centrality and power, are extended by other graph mining techniques in which power has a significant role. In conclusion, the trends of node importance mining focus on power-embedded fusion measurements in the transmission mechanism-based complex applications. Originality/value This is the first systematic literature review of node importance from the view of graph-theoretic mining.
IRIS-HEP Project Proposal - Efficient implementation of algorithms to reconstruct charged particles trajectories

The efficacy of machine learning algorithms in the track reconstruction process is especially salient considering the dramatic developments of GPU hardware capabilities in recent years. Now, machine learning algorithms can be implemented efficiently which is important for expected increases in data flow for experiments like ATLAS. The long term goal of this project is to achieve higher performance in track reconstruction with a machine learning algorithm that embeds the Kalman filter. Ideally, this would achieve higher performance through learning with the Kalman filter as prior knowledge, something that other machine learning approaches to tracking like graph neural networks do not have.
An Investigation Into Human-centred Peer-support Education Systems for Students with Learning Difficulties

This research investigates the potential application and use of ICT in the development of peersupport networks centered on learners with Specific Learning Difficulties at third level education. Utilising a theoretical model based on both the social and medical models of disability, it is intended to develop a system that will allow learners to develop through interaction with their peers actionable education frameworks, adaptive learning strategies and reusable learning resources in a safe and contextualised learning environment. Primary research will be performed with the student population of Waterford Institute of Technology as a case study. The longitudinal goal is the improved retention, resilience and performance of the target population.
5G Communications Multiband Antenna Design

In this paper, a novel reconfigurable antenna with multiband of frequency is analysed and simulated for the modern 5G mobile communication applications. The proposed antenna is simulated by applying ADS software and fed through strip line feeding. The uniqueness of this design is the antenna can support 2.4-GHz Bluetooth and/or 3.5-GHz WiMAX and/or 5.8-GHz WLAN systems and/or 6GHz 5G systems. The advantage of this design is that it overcomes the problem of conventional reconfigurable antennas of serving one frequency band at a time. Maximum radiations are directed normal to patch geometry and shape of patterns is somewhat similar to a dumble shape in the upper hemisphere. The antenna design, simulation, and measurement results are presented. The antenna shows similar radiation patterns with low cross-polarization levels at all its operating frequencies. The simulated and measured results are in good agreement. This Reconfigurable Patch antenna is specifically designed for the application of 5G Mobile communication systems.
Ein intuitives kamerabasiertes System zur Assistenz sehbehinderter Menschen

Zusammenfassung Viele blinde und sehbehinderte Menschen sind stark beeinträchtigt in ihrer individuellen Mobilität. Die technischen Fortschritte im Bereich der Umfelderfassung intelligenter Systeme könnten hier einen substantiellen Beitrag leisten. In dieser Arbeit stellen wir ein tragbares Assistenzsystem für blinde Menschen vor, das die Umgebung mit einer binokularen Kamera erfasst und durch intuitives akustisches Feedback an den Benutzer übermittelt. Wir beschreiben die Algorithmen zum Szenenverstehen und zur Bestimmung der Eigenbewegung und gehen auf die Sonifikation der interpretierten Umgebung ein. In einer experimentellen Studie zeigen wir, wie die intelligente Umgebungswahrnehmung zur Sicherheit und Mobilität von Blinden beitragen kann.
Improved energy conversion for doubly-fed wind generators

There is currently significant interest in offshore wind turbines up to 5 MW. One of the preferred options is doubly-fed slip-ring generators. Turbine manufacturers have proposed an operating scheme for low speeds that is claimed to improve the overall energy extraction from the wind. The aim of this paper therefore is to examine the performance benefits for this new operational mode on a small experimental rig, confirmed by simulation, and to provide a fundamental understanding of the differences in the generator operation in both modes. The paper develops analytical steady-state models to provide this insight and correlates the operating performance with a dynamic real-time generator control scheme and experimental results obtained from a laboratory test machine. A theoretical study on a 2 MW commercial turbine is also undertaken.
Controller Design for UAV Tracking Specific Object

The prosperity of UAV brings a new lifestyle to aviation enthusiasts, since all kinds of new features have been devised and added to UAV. One significant improvement is putting HD camera on-board to enable aerial photography. In recent years, computer vision also becomes a fast growing academic discipline. Object detection and object tracking are hot topics in this field. This thesis developed and tested the idea of UAV controller design combined with object tracking so that the UAV is able to follow one specific object automatically. In this application, ROS has been used as a communication platform between the UAV and the computer, and we implement the Tracking-Learning-Detection (TLD) tracker into this platform. System identification has been performed to find the UAV motion models according to the its movement in different directions. Based on these models and the feedback signals from the TLD tracker, different feedback loops are established. Various velocity controllers for the inner loop and displacement controllers for the outer loop have been designed separately with respect to corresponding directions. After comparing the results from experiment, we choose the best controller which allows the UAV to follow the object with a fast and accurate tracking response.
Circular polarised antenna fabricated with low-cost 3D and inkjet printing equipment

The fabrication of a patch antenna using low-cost 3D printing equipment is presented. The circular polarised patch antenna is manufactured by combining inkjet printing and stereolithography technology. The substrate has been fabricated by curing photosensitive resin while the patch element of the antenna has been inkjet printed using silver ink. The printed antenna satisfies the required reflection coefficient, axial ratio and radiation pattern at 1575 MHz. The aim is to demonstrate an inexpensive technology that could be used for the fabrication of antennas on customised 3D printed substrates. The performance of the antenna is summarised through simulations and experimental results.
Primary Frequency Response with Aggregated DERs: Preprint

Power networks have to withstand a variety of disturbances that affect system frequency, and the problem is compounded with the increasing integration of intermittent renewable generation. Following a large-signal generation or load disturbance, system frequency is arrested leveraging primary frequency control provided by governor action in synchronous generators. In this work, we propose a framework for distributed energy resources (DERs) deployed in distribution networks to provide (supplemental) primary frequency response. Particularly, we demonstrate how power-frequency droop slopes for individual DERs can be designed so that the distribution feeder presents a guaranteed frequency-regulation characteristic at the feeder head. Furthermore, the droop slopes are engineered such that injections of individual DERs conform to a well-defined fairness objective that does not penalize them for their location on the distribution feeder. Time-domain simulations for an illustrative network composed of a combined transmission network and distribution network with frequencyresponsive DERs are provided to validate the approach.
Differential voltage octuple rectifiers for wireless energy harvesting

This paper presents the design of a novel differential voltage octuple rectifier for wireless RF energy harvesting. Two rectifiers with common matching (CM) and two‐branch matching (TBM) are presented for the CDMA850/GSM900 bands operation. Measured maximum efficiencies of CM and TBM rectifiers reach 66.5% and 70.6%, respectively. The results also show that both matching network‐type rectifiers can produce higher output voltage. It is demonstrated that the designed rectifier‐antenna structure powers up a battery‐less LCD sensor by harvesting RF signal of a dialing cell phone. The proposed rectifier topology and matching mechanisms can be used for various energy harvesting applications, especially for those requiring high supply voltage.
Training Need of Indian Wind Turbine Manufacturing Sector – An Intimate Study

Introduction The growth of wind energy has again started in India. The market is expected to grow year on year and thus needs trained professionals to satisfy the market demand. For last 18 years I am closely attached to this industryand researching on the technique of wind turbine manufacturing process as a part of my job. This write up shows the present training structure prevailing in Indian wind turbine manufacturing industry and proposes a blue print for the improvement to match the growth demand of windmill industry.
Re-Engineering Collaborative Practice in Primary Care: Integrating Community Pharmacy to the Clinic; Creating a Pharmacy Referral and Quality Circle

ABSTRACT Pharmacy practice is part of a value chain made up of suppliers(S), inputs(I), processes(P), outputs(O), and customers(C). The interface between community pharmacies and clinic-based prescribers is complicated by challenges related to gaps in the design of the chain. The supplier-input-process-outcome-customer (SIPOC) model can be used to re-engineer the chain: integrating an intervening clinical pharmacist in the interface creates a structure for interprofessional collaboration and communication across the interface. This innovation has important implications for patient referral between clinic and pharmacy, and the future role and scope of all patient-facing pharmacists.
The effects of deep-level defects on the electrical properties of Cd0.9Zn0.1Te crystals

The deep-level defects of CdZnTe (CZT) crystals grown by the modified vertical Bridgman (MVB) method act as trapping centers or recombination centers in the band gap, which have significant effects on its electrical properties. The resistivity and electron mobility–lifetime product of high resistivity Cd0.9Zn0. 1Te wafer marked CZT1 and low resistivity Cd0.9Zn0. 1Te wafer marked CZT2 were tested respectively. Their deep-level defects were identified by thermally stimulated current (TSC) spectroscopy and thermoelectric effect spectroscopy (TEES) respectively. Then the trap-related parameters were characterized by the simultaneous multiple peak analysis (SIMPA) method. The deep donor level ( E DD ) dominating dark current was calculated by the relationship between dark current and temperature. The Fermi-level was characterized by current–voltage measurements of temperature dependence. The width of the band gap was characterized by ultraviolet-visible-infrared transmittance spectroscopy. The results show the traps concentration and capture cross section of CZT1 are lower than CZT2, so its electron mobility–lifetime product is greater than CZT2. The Fermi-level of CZT1 is closer to the middle gap than CZT2. The degree of Fermi-level pinned by E DD of CZT1 is larger than CZT2. It can be concluded that the resistivity of CZT crystals increases as the degree of Fermi-level pinned near the middle gap by the deep donor level enlarges.
Functional analysis of long noncoding RNAs involved in alkaline stress responses in wheat.

Saline-alkali soil is a key environmental problem affecting crop productivity. One of the most effective approaches to combat it is to breed stress-tolerant plants through genetic engineering. Shanrong No. 4 (SR4) is an alkaline-tolerant bread wheat cultivar derived from asymmetric somatic hybridization between the common wheat cultivar Jinan 177 (JN177) and tall wheatgrass. We aimed to explore the structure and function of alkalinity stress-responsive long noncoding RNAs (lncRNAs) in wheat. In this study, lncRNA sequencing was employed to identify stress tolerance-associated lncRNAs and their corresponding targets. Approximately 19,000 novel lncRNA sequences were detected in SR4 and JN177. Upon exposure to alkaline stress, SR4 differentially expressed 5691 lncRNAs, whereas JN177 differentially expressed 5932 lncRNAs. We selected five differentially expressed lncRNAs (L0760, L6247, L0208, L2098 and L3065) and generated transiently knocked down strains of wheat seedlings using the virus-induced gene silencing method. L0760 and L2098 knockdown caused the plants to exhibit sensitivity to alkaline stress, whereas L6247, L0208 and L3065 knockdown increased the ability of plants to tolerate alkaline stress. lncRNA-miRNA-target mRNA network and alkali-response-related lncRNA-target mRNA association networks were constructed to analyze the function of lncRNAs. Collectively, our results demonstrate that lncRNAs may have different roles under alkaline stress conditions.
Hierarchical twinning governed by defective twin boundary in metallic materials

Dense networks of deformation twins endow metals and alloys with unprecedented mechanical properties. However, the formation mechanism of these hierarchical twin structures remains under debate, especially their relations with the imperfect nature of twin boundaries (TBs). Here, we investigate the intrinsic deformability of defective TBs in face-centered cubic metallic materials, where the inherent kinks on a set of primary TBs are demonstrated to facilitate the formation of secondary and hierarchical nanotwins. This defect-driven hierarchical twinning propensity is critically dependent on the kink height, which proves to be generally applicable in a variety of metals and alloys with low stacking fault energies. As a geometric extreme, a fivefold twin can be constructed via this self-activated hierarchical twinning mechanism. These findings differ from the conventional twinning mechanisms, enriching our understanding of twinning-mediated plasticity in metallic materials.
Negative effects of winter and spring warming on the regeneration of forest spring geophytes.

The climate is changing rapidly, provoking species to shift their ranges poleward and upslope. We currently lack a mechanistic understanding of the effect of warmer temperatures on plants, especially for seasonally distinct patterns. Spring geophytes are emblematic forest plants that have a short aboveground lifecycle in the first half of the year and are thus particularly sensitive to winter and spring warming. We set up warming experiment with separate and combined winter and spring warming on seedlings of three European spring geophytes: Anemone nemorosa, Hyacinthoides non-scripta and Ornithogalum pyrenaicum. Seedling emergence and plant height was recorded at the end of winter and spring treatment, when also biomass of the root, shoot and storage organ was determined. We found negative effects of combined winter and spring warming on seedling emergence. The weight of the storage organ proved to be the best indicator of seedling performance and was negatively affected by separate winter warming in Anemone and by spring warming in Hyacinthoides. Successful seedling emergence was jeopardized by the absence of a cold period, while seedling performance seemed to be negatively influenced directly by higher temperatures through a phenological shift. Our findings confirm that warmer winter and spring temperatures could hamper regeneration of spring geophytes.
Association of baseline parameters with year 0 and year 1 acute exacerbations in male patients with chronic obstructive pulmonary disease

Objectives Acute exacerbations (AEs) of chronic obstructive pulmonary disease (COPD) can affect health status, hospitalization and readmission rates, and disease progression. This study aimed to identify independent markers associated with COPD AEs. Methods This study included male patients with COPD and collected data regarding their AEs and baseline clinical parameters. Results We included 149 male patients. Among them, 58 were included in the year 0 high-AE group and 91 in the low-AE group. Multivariate analysis revealed that the high-AE group had higher white blood cell count, lower serum albumin level, and post-bronchodilator (BD) forced expiratory volume in one second (FEV1) (%) with a combined receiver operating characteristic curve (ROC) of 0.721 (p < 0.001). Additionally, 34 patients were included in the year 1 high-AE group and 70 in the low-AE group (p < 0.001). Multivariate analysis revealed that the high-AE group had higher platelet count, positive asthma history, and lower pre-BD FEV1 (%) with a combined ROC of 0.782 (p < 0.001). Conclusion In male patients with COPD, baseline white blood cell count, albumin level, and post-BD FEV1 (%) were correlated with year 0 AE; on the other hand, baseline platelet count, positive asthma history, and pre-BD FEV1 (%) were associated with year 1 AE.
A Review Report on Localization of License Number Plate using Processing of Active Image and Genetic Algorithms Technique

: License plate recognition techniques have been successfully applied to the management of stolen cars, management of parking lots and traffic flow control. This study proposes a license plate based strategy for checking the annual inspection standing of motorcycles from images taken on the wayside and at selected inspection stations. Both a UMPC (Ultra Mobile Personal Computer) with a web camera and a desktop computer are used as hardware platforms in this paper a survey is being carried out in the field of Automatic license plate localization. Automatic license plate recognition (ALPR) is to extract vehicle license plate information from an image or a sequence of images. The extracted info can be used with or without a database in many applications like electronic payment systems, freeway and specific road observation systems for traffic surveillance.
Curcumin Alleviated Lipopolysaccharide-Induced Lung Injury Via Regulating Nrf2-ARE and NF-κB Signaling Pathways in Ducks.

BACKGROUND Under the intensive modern poultry farming system, the lung of duck is one of the main targeted organs for various bacterial and viral infections. Curcumin is a kind of natural polyphenol compound which exist various beneficial biological functions including anti-inflammatory, antioxidant, and antiviral. The aim of this experiment was to investigated mechanism of Curcumin alleviated lipopolysaccharide (LPS) induced lung damages by Nrf2-ARE and NF-κB signaling pathway in ducks. RESULTS In total, 450 one-day-old male specific pathogen-free duck were randomly assigned into three dietary treatments: CON, basal diet; LPS, basal diet + LPS treatment; LPS+CUR, basal diet + LPS + 500 mg/ kg of Curcumin. At the end of experiment (21 days) ducks in LPS treatment were challenged with 5 mg LPS/kg of body weight and the other two treatments were injected with the same dose of phosphate-buffered solution. The results observed that LPS caused acute inflammation, oxidation stress, and lung injury. Dietary addition of Curcumin significantly relieved the oxidation stress and inflammation parameters. Moreover, results shown that remission may be through the signaling pathway of both Nrf2-ARE and NF-κB. CONCLUSION In conclusion, dietary supplementation of 500 mg/kg of Curcumin exhibited the lung protective effective in ducks. This experiment broadens the mode of metabolism actions of Curcumin in the target organs and provided an insight for the application of Curcumin in waterfowl feed. This article is protected by copyright. All rights reserved.
Mosaic gene expression analysis of semaphorin–plexin interactions in Caenorhabditis elegans using the IR‐LEGO single‐cell gene induction system

Genetic mosaic analysis is a powerful means of addressing the sites of gene action in multicellular organisms. In conventional genetic analysis, the generation of desired mosaic patterns is difficult to control due to the randomness of generating the genetic mosaic which often renders the analysis laborious and time consuming. The infrared laser–evoked gene operator (IR‐LEGO) microscope system facilitates genetic mosaic analysis by enabling gene induction in targeted single cells in a living organism. However, the level of gene induction is not controllable due to the usage of a heat‐shock promoter. Here, we applied IR‐LEGO to examine the cell–cell interactions mediated by semaphoring–plexin signaling in Caenorhabditis elegans by inducing wild‐type semaphorin/plexin in single cells within the population of mutant cells lacking the relevant proteins. We found that the cell contact–dependent termination of the extension of vulval precursor cells is elicited by the forward signaling mediated by the semaphorin receptor, PLX‐1, but not by the reverse signaling via the transmembrane semaphorin, SMP‐1. By utilizing Cre/loxP recombination coupled with the IR‐LEGO system to induce SMP‐1 at a physiological level, we found that SMP‐1 interacts with PLX‐1 only in trans upon contact between vulval precursor cells. In contrast, when overexpressed, SMP‐1 exhibits the ability to cis‐interact with PLX‐1 on a single cell. These results indicate that mosaic analysis with IR‐LEGO, especially when combined with an in vivo recombination system, efficiently complements conventional methods.