Miracle-dz/UniFAR-FTUs huggingface dataset:
A fabric defect detection algorithm via context-based local texture saliency analysis

Purpose – Fabric defect detection plays an important role in textile quality control. The purpose of this paper is to propose a fabric defect detection algorithm via context-based local texture saliency analysis. Design/methodology/approach – In the proposed algorithm, a target image is first divided into blocks, then the Local Binary Pattern (LBP) technique is used to extract the texture features of blocks. Second, for a given image block, several other blocks are randomly chosen for calculating the LBP contrast between a given block and the randomly chosen blocks. Based on the obtained contrast information, a saliency map is produced. Finally, saliency map is segmented by using an optimal threshold, which is obtained by an iterative approach. Findings – The experimental results show that the proposed algorithm, integrating local texture features and global image texture information, can detect texture defects effectively. Originality/value – In this paper, a novel fabric defect detection algorithm via c.
Evaluation of the Immune Response of a Candidate Phage-Based Vaccine against Rhipicephalus microplus (Cattle Tick)

Cattle tick (Rhipicephalus microplus) represents a severe problem causing substantial economic losses, estimated in billions of dollars annually. Currently, chemical acaricides represent the most widely used control method. However, several problems such as resistance have been described. Phage-based vaccines represent a fast and low-cost tool for antigen delivery. In this regard, the objective of the present work was to develop a candidate phage-based vaccine displaying a cattle tick antigen (Bm86-derived Sbm7462 antigen) on the surface of bacteriophage M13. Phage ELISA and dot blotting analysis confirmed the display of the antigen. Vaccine immunogenicity was evaluated using a bovine monocyte-derived dendritic cell-based ex vivo assay and a murine in vivo assay. The ex vivo model showed the maturation of dendritic cells after being pulsed with the phage-based vaccine. The humoral response was confirmed in the in vivo assay. These results demonstrated the capacity of the phage-based vaccine to induce both humoral and cellular immune-specific responses. Importantly, this is the first report describing a control method for cattle ticks using a candidate phage-based vaccine. Further studies to evaluate the immunogenicity in a bovine model are needed. The current approach represents a promising alternative to control cattle tick infestations.
Multi-Source Remote Sensing Image Fusion for Ship Target Detection and Recognition

The active recognition of interesting targets has been a vital issue for remote sensing. In this paper, a novel multi-source fusion method for ship target detection and recognition is proposed. By introducing synthetic aperture radar (SAR) sensor images, the proposed method solves the problem of precision degradation in optical remote sensing image target detection and recognition caused by the limit of illumination and weather conditions. The proposed method obtains port slice images containing ship targets by fusing optical data with SAR data. On this basis, spectral residual saliency and region growth method are used to detect ship targets in optical image, while SAR data are introduced to improve the accuracy of ship detection based on joint shape analysis and multi-feature classification. Finally, feature point matching, contour extraction and brightness saliency are used to detect the ship parts, and the ship target types are identified according to the voting results of part information. The proposed ship detection method obtained 91.43% recognition accuracy. The results showed that this paper provides an effective and efficient ship target detection and recognition method based on multi-source remote sensing images fusion.
Supplementation of Avian Semen Extenders with Antioxidants to Improve Semen Quality—Is It an Effective Strategy?

Oxidative stress in sperm is a phenomenon related to the increasing rate of oxidation of cellular components and the excessive production of reactive oxygen species (ROS). The high content of polyunsaturated fatty acids in bird sperm cell membranes renders these cells particularly susceptible to lipid peroxidation (LPO). Therefore, to ensure the proper functioning of cells, it is necessary to have a balance between the formation of ROS and the protective action of the antioxidant system. This review aims firstly to briefly introduce the antioxidant system characteristics of avian semen. Secondly, we summarize the recent knowledge regarding progress in extender supplementation using antioxidants and other compounds to improve avian semen quality parameters and fertility rates. The review focuses on enzymes, vitamins, amino acids, proteins, some plant extracts, and other compounds that can be used to supplement the extenders to reduce the formation of oxidants in poultry semen and maintain its quality and enhance its fertility.
Central Yamal vegetation monitoring based on Sentinel-2 and Sentinel-1 imagery

In this study fusion of optical (Sentinel-2) and radar (Sentinel-1) imagery is presented for vegetation cover classification in polar Arctic environment of the Western Siberia. Sentinel-1 and Sentinel-2 images were analyzed using parametric rule classification. Results showed significantly improved land cover classification results based on contextual analysis. Synergy of Sentinel-2 bands 4 and 3 and Sentinel-1 dual polarization VV and VH images increased the classification accuracy significantly. Specifically, classification accuracy increased for two classes — Erect dwarf-shrub tundra with 6% and Fresh Water with 10%. The classification accuracy as well test sites were analyzed using in situ data collected during three fieldwork campaigns in August-September (2016–2018) in the surrounding of Bovanenkovo settlement.
Cost / Effectiveness Analysis of Ponderosa Pine Ecosystem Restoration in Flagstaff Arizona's Wildland-Urban Interface

Ponderosa pine ecosystem restoration in Fort Valley (located east of Flagstaff, Arizona) has been proposed as a method of restoring ecosystem health and lowering the risk of catastrophic wildfire in Flagstaff's wildland-urban interface. Three methods of harvest are being used to carry out restoration treatments: hand harvesting, cut-to-length harvesting, and whole-tree mechanized harvesting. This paper presents a theoretical application of a cost / effectiveness analysis to aid in recommendation of an optimum method of harvest for restoration treatments. Harvest methods can be compared on the basis of ratios of harvest cost / effectiveness. Effectiveness in this approach is defined as a harvest method's ability to carry out restoration treatment with the least negative impact on residual stand damage, soil impacts, and fuel loading. Introduction ____________________ Cost / effectiveness analysis is an economic tool that can help decisionmakers with limited financial resources select among alternatives to meet a predetermined objective. In the Fort Valley restoration project, the objective is an eco- logical restoration / fuel reduction treatment intended to reduce the number of small-diameter ponderosa pine (Pinus ponderosa) trees in Flagstaff, Arizona's wildland / urban interface. These small diameter trees inhibit growth of larger diameter trees and can act as fuel ladders in cata- strophic stand replacing fires. Three treatment alternatives have been used to reduce current tree densities: hand- harvesting, cut-to-length harvesting, and whole-tree-mecha- nized harvesting. Each of these harvesting alternatives uses different mixes of equipment to obtain the given objective of restoration. Each mix of equipment has different costs for treating the stand and different environmental impacts on the stand after treatment. This paper reviews economic tools to aid in environmentally related decisions, and argues that cost / effectiveness analysis is superior to benefit cost ratio and impact analysis as an environmental decisionmaking approach for harvest method selection in the restoration projects. The paper introduces the Fort Valley restoration treatments as a case study, and covers the theoretical application of cost / effectiveness analysis for harvest method selection in the Fort Valley restoration treatments.
A Differential High-Gain Antenna with Dual-band and Dual-Polarization Based on Substrate Integrated Waveguide

A differential high-gain antenna with dual-band and dual-polarization based on substrate integrated waveguide cavity is presented in this paper. The cavity with odd-symmetrical electric field distribution can radiate the differential mode (DM) signal and suppress the common mode (CM) signal. The degenerate mode TE102 and TE201 are separated by etching two groups of slots in different positions. The simulated −10 dB reflection coefficient bandwidths are 15 MHz in lower frequency band and 13 MHz in upper frequency band for vertical and horizontal polarization, respectively. The horizontal components of the DM electric field radiated from the two symmetrical slots are superimposed in the Z-axis to increase the antenna gain. The gains of the dual-band is 8.1 dBi and 7.2 dBi, respectively. Meanwhile, the CM signal is suppressed well.
Design and fabrication of PZT-actuated tools for micromanipulation

In this paper novel tools for micromanipulation are presented. The devices have been purposely designed for integration in small mobile micro-robots, aimed at performing co-operative precision manipulation and assembly tasks. Concerning the actuation, multilayer piezoceramic components were developed and employed. The selected fabrication techniques for the grippers are shape deposition manufacturing of polymer and electro-discharge machining of stainless steel, and different alternatives have been investigated in order to select the optimal design. Several prototypes have been fabricated and preliminary experimental tests have been performed, both regarding the characterization and the grasping capabilities.
THERMAL STUDY OF AN INDUCTION MOTOR FED BY A FAULT- TOLERANT MULTILEVEL INVERTER USING FEM

This paper presents a study of an induction motor fed by a fault-tolerant 3-level Neutral Point Clamped (3LNPC) inverter, under normal conditions as well as after a post-fault reconfiguration, following an open-circuit fault in the inverter. The thermal behavior and efficiency of the motor are assessed, based on a magnetic and thermal model built using a finite element method (FEM) software of the motor linked to a Matlab/Simulink model of the drive system. With the developed tools, a better understanding of the motor behavior and performance is gained, allowing to forecast scenarios and optimize fault-tolerant strategies for the drive.
Développement du raisonnement clinique chez des étudiantes en sciences infirmières par la méthode SNAPPS-A : une étude pilote

Contexte : Les étudiantes en sciences infirmières doivent développer leur raisonnement clinique. La méthode Summarize Narrow Analyse Probe Plan Select (SNAPPS) est une stratégie pédagogique centrée sur l’apprenante qui favorise l’expression du raisonnement clinique et des incertitudes. Objectifs : 1) Explorer l’utilisation de SNAPPS-A, une version adaptée aux sciences infirmières, lors de stages ; 2) Documenter le point de vue des étudiantes et des superviseures sur la pertinence et l’utilisation de SNAPPS-A. Méthodes : Une étude pilote exploratoire qualitative de 16 mois, dans trois milieux de stages universitaires auprès de sept dyades, utilisant une méthode d’échantillonnage de convenance a été réalisée. Les étudiantes devaient être inscrites en deuxième année de baccalauréat en sciences infirmières et accepter d’enregistrer au moins un échange SNAPPS-A. Leur superviseure devait accepter de participer à la recherche ou à l’utilisation de SNAPPS-A. Résultats : Douze enregistrements ont été réalisés auprès des sept dyades. Les étudiantes étaient des femmes (85 %) âgées entre 18 et 24 ans. Les superviseures étaient également des femmes (72 %) âgées entre 25 et 44 ans. La méthode, jugée pertinente et facile à appliquer dans tous les milieux cliniques, permet aux étudiantes d’être proactives et d’acquérir de l’autonomie. Elle a aidé les superviseures à mieux comprendre la démarche clinique et à adapter leur accompagnement en fonction des forces et faiblesses des apprenantes. Les barrières relevées sont identiques à celles mentionnées dans les écrits. Conclusion : La méthode SNAPPS-A peut s’avérer utile pour soutenir le développement du raisonnement clinique des étudiantes infirmières lors des stages.
A Hybrid Approach for Noise Reduction in Acoustic Signal of Machining Process Using Neural Networks and ARMA Model

Intelligent machining has become an important part of manufacturing systems because of the increased demand for productivity. Tool condition monitoring is an integral part of these systems. Airborne acoustic emission from the machining process is a vital indicator of tool health, however, it is highly affected by background noise. Reducing the background noise helps in developing a low-cost system. In this research work, a feedforward neural network is used as an adaptive filter to reduce the background noise. Acoustic signals from four different machines in the background are acquired and are introduced to a machining signal at different speeds and feed-rates at a constant depth of cut. These four machines are a three-axis milling machine, a four-axis mini-milling machine, a variable speed DC motor, and a grinding machine. The backpropagation neural network shows an accuracy of 75.82% in classifying the background noise. To reconstruct the filtered signal, a novel autoregressive moving average (ARMA)-based algorithm is proposed. An average increase of 71.3% in signal-to-noise ratio (SNR) is found before and after signal reconstruction. The proposed technique shows promising results for signal reconstruction for the machining process.
Social Capital and Tourism Development: Insights from a Peripheral Destination

There has been a growing emphasis on understanding the nexus between tourism and social capital from different contexts. This study aims to develop an in-depth understanding of the influence of social capital on tourism development from a peripheral destination context of the Sundarbans, Bangladesh. In this vein, a qualitative case study approach was adopted to gather empirical evidence primarily through qualitative semi-structured interviews with relevant stakeholders. Thematic analysis was adopted to interpret the gathered data. Findings of the study reflect that bridging and linking capitals play a critical role in community-involved tourism development in the Sundarbans. Furthermore, the study reveals that the absence of trust and misuse of power can threaten tourism development in the observed context. This study contributes to the broader literature of tourism-social capital nexus and extends our current understanding in reference to a developing country’s peripheral destinations.
Analysis of Chemical Constituents in Jackfruit Peel by UPC2/Q-TOF-MS Method

A new method for the analysis chemical constituents in jackfruit peel by ultra performance convergence chromatography (UPC2) was developed for the first time. The extraction of jackfruit peel was carried out under classical heating with ultrasonic wave and extracted with ethyl ether. The analytes were separated on an ACQUITY UPC2 HSS C18 SB column with a gradient elution (80:20 to 99.8:0.2) of mobile phase consisting of CO2 and methanol. The result indicated that UPC2/Q-TOF-MS is a simple, rapid, reliable and effective method to analyze the biochemical compounds in jackfruit peel. A total of 65 compounds were identified, including acids, esters, alcohols, and pyrazine, etc.
3D system-in-package design using stacked silicon submount technology

Purpose – This study aims to provide a flexible and cost-effective solution of 3D heterogeneous integration for applications such as micro-electro-mechanical system (MEMS) applications and smart sensor systems. Design/methodology/approach – A novel 3D system-in-package (SiP) based on stacked silicon submount technology was successfully developed and well-demonstrated by the fabrication and assembly process of a selected smart lighting module. Findings – The stacked module consists of multiple layers of silicon submounts which can be designed and fabricated in parallel. The bonding and interconnecting process is quite simple and does not require complicated equipment. The 3D stacking design offers higher silicon efficiency and miniaturized package form factor. The submount wafer can be assembled and tested at the wafer level, thus reducing the cost and improving the yield. Research limitations/implications – The embedding design presented in this paper is applicable for modules with limited number of passi.
Design of 21-core trench and air-hole assisted multi-core fiber for high speed optical communication

Abstract. We present a novel 21-core homogeneous multi-core fiber (MCF) structure with three different types of core placement layouts (1-Ring, 2-Ring, and Square Lattice) and densely pack the cores with a minimum cladding diameter of 200 μm to support high-speed applications. In the first phase, three MCF structures (1-Ring, 2-Ring, and Square Lattice) were designed with a step refractive index (RI) profile under the limited cladding thickness and diameter of 35 and 200 μm, respectively, and their crosstalk was calculated. In the second phase, all three structures were designed with a low-RI trench-assisted (TA) profile to significantly reduce the crosstalk. To further suppress the crosstalk, air holes were placed between the TA cores, and it was found that the TA Square Lattice core arrangement with air holes achieved the minimum crosstalk value of approximately −70 dB / 100 km. The impact of important design parameters, such as transmission distance, bending radius, operating wavelength, and core diameter on inter-core crosstalk for all three design structures for both RI profiles and air-hole arrangement were numerically analyzed. Furthermore, other transmission characteristics, such as group delay and dispersion concerning wavelength, were analyzed for the above-stated design structures.
Replacing the lambda probe by radio frequency-based in-operando three-way catalyst oxygen loading detection

A novel strategy for closed-loop controlling the stoichiometric combustion of gasoline engines is presented. In contrast to common strategies which use the signal two lambda probes up- and downstream of a three way catalyst to control the engine, here the oxygen loading degree of a threeway catalyst is directly and in-operando determined by a radio frequency-based method and used as the process variable. Initial tests at a high dynamic laboratory test bench show that such a controlling strategy may lead to much lower emissions. Hence, there is a chance to replace lambda probes.
Broadening project participation through a modified building sustainability assessment

Building assessment tools are used as a means to assess and encourage the adoption of sustainability-led thinking and practice in the delivery of buildings. However, the established tools focus primarily on the aspects of green or sustainable building (i.e. building as an end-product), rarely exploring the contributions towards sustainable product delivery (i.e. the building process). However, some principles of sustainable development are best implemented within the process rather than by being embedded in the product. By addressing the issues of equity via participation through stakeholder-oriented sustainability assessment, building assessment tools could be used to enhance significantly the overall sustainability of project delivery in the construction sector. A theoretical justification is advocated for implementing a participatory approach that is underpinning the development of a specification for a building sustainability assessment model currently under development. The barriers to participation in the construction process are considered as well as the need to develop innovative mechanisms to broaden membership of the construction project team. The philosophical approaches and resultant practices drawn from Environmental Assessment and the Process Protocol are presented as examples of potential solutions for incorporating stakeholder participation in a modified building assessment process.
Synthesis of Silica-Based Materials Using Bio-Residues through the Sol-Gel Technique

This study focused on the use of citrus bio-waste and obtention of silica-based materials through the sol-gel technique for promoting a greener and more sustainable catalysis. The sol-gel method is a versatile synthesis route characterized by the low temperatures the materials are synthesized in, which allows the incorporation of organic components. This method is carried out by acid or alkali hydrolysis combined with bio-waste, such as orange and lemon peels, generated as co-products in the food processing industry. The main objective was to obtain silica-based materials from the precursor TEOS with different catalysts—acetic, citric and hydro-chloric acids and ammonium hydroxide—adding different percentages of lemon and orange peels in order to find the influence of bio-waste on acids/alkali precursor hydrolysis. This was to partially replace these catalysts for orange or lemon peels. The solids obtained were characterized with different techniques, such as SEM, FT₋IR, potentiometric titration and XRD. SEM images were compared with pure silica obtained to contrast the morphology of the acidic and alkali hydrolysis. However, until now, few attempts have been made to highlight the renewability of reagents used in the synthesis or to incorporate bio-based catalytic processes on larger scales.
A Numerical Comparison Between Full-Structure and Sub-Structure Characteristic Modes

This paper studies the distinctions between the full-and sub-structure characteristic modes (CMs). We present a numerical comparison between the two types of CMs for a rectangular dielectric resonator antenna (DRA) backed by a finite ground plane. Numerical experiments demonstrate that the full-structure CMs give rise to several unwanted modes in this case. As a contrast, the sub-structure CMs can accurately identify the desirable resonant modes.
Research on the Assembly Line Scheduling of Fixed Objects for the Large Complex Products

According to the complexity of the assembly line for the large complex products, a new production pattern with fixed objects for the mixed model assembly line is proposed. Improved GA is used to solve the scheduling problem . In this paper, a production scheduling system is developed. It can speed up the production cycle, lower the cost, improve the productivity and so on.