Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of Private Blockchain in Smart Card Management System

: Nowadays Blockchain technology is adopted for various services by a good number of global companies. Blockchain technology ensures integrity of ledgers, privacy of transaction and authenticity of transactions without a centralized control actor. In this paper, we are focused on using this technology in citizen identification system of Bangladesh. A Certification Authority ensures that the information which is not genuine and tempered is not added in our proposed decentralized network. One of the most preferable and suitable consensus algorithms for private Blockchain system known as Proof of Authority (PoA), is used to secure the mining process as every miner in the system are known entities, thus protecting the system from 51% attack, which is indeed a major drawback of the public Blockchain system. Once a block is mined and distributed across the network, no information could be deleted or modified and the system becomes counteractive against any fraudulent attacks.
Microsoft Word-3447

olecular studies have been carried out on 6 instar larvae of Spodoptera littoralis which treated in 2 larval instars with LC50 of two bioagents named Viruset and Protecto at 1x10 PIBs/ml and 3.2x10 IU/ml. , respectively. Four random primers were used in this study to generate a fragmenting pattern as a tool to investigate the molecular differences between treated samples and control. The numbers of unique and common fragments generated by using these primers (OPO1, OPO2, OPO3 and OPO4) was recorded. It has been found that primer OPO4 was the most powerful one in generating a unique informative fragmenting pattern; it gives 4 specific unique fragments. While the primer OPO1 was the poorest one in generating an informative fragmenting pattern.
Global Workplace Law & Policy Skills in Global Supply Chains : A European Perspective

In a series of posts on this blog, I have emphasised the centrality of skills to work. I have identified skills’ recognition as vital in facilitating access to and participation in the labour market. I have noted the importance of education and training in preparing people for work. And I have identified the role which skills recognition plays in the platform economy. In this post, I want to consider the role of skills in global supply chains. How are quality checks to be implemented in respect of them, ensuring that the skills and qualifications of workers in global supply chains are recognised in a manner consistent with the EU’s market and values? Unfortunately, there is a significant lack of data and clarity in this area, notwithstanding its extraordinary significance. As one recent study noted,
An On-line Ultraviolet Detecting System of EHV Transmission Lines

An on-line detecting system based on UV detection is described which is capable of overcoming former disadvantages of infrared, ultrasonic and leaky current detection. When the high-voltage facility discharges, it emits very weak radiation, a small part of which is within the "solar-blind" region (240 nm-280 nm), the part that can escape the UV disturbance. With "solar-blind" UV sensors (working in 185 nm-260 nm), the high-voltage facility discharge can be correctly detected by detecting the special wavelength of ultraviolet radiation. To check the discharge detecting ability of the UV detector, two different drive boards of UV detectors are made with their output waves compared. Experiments show that both can correctly respond to the discharge sparkles within 10 m. The detecting ability can be adjusted by the source voltage without being affected by outside environment. The use of the on-line ultraviolet detecting system is a new method for EHV transmission lines state detection for its high sensitivity, steady performance, good security and broad prospects for wide application.
Direct Fluorescent Decay Measurements Using High Speed Electronics

High speed data acquisition architecture is implemented as part of a time-resolved fluorescence detection instrument to directly measure the time course of fluorescent decay. The architecture is implemented using a very fast dynode chain photomultiplier tube and associated gating circuitry, a broad spectrum light emitting diode excitation source, very wide band electronics for amplification and filtering, and a high speed digital oscilloscope. The fluorescence decay of tris (2,2´-bipyridyl) ruthenium (II) is measured and the lifetime measurement is compared with that using other reported methods. The system’s architecture is thereby validated for data acquisition of broadband signals including transient fluorescent recording.
The power of friends and neighbors

The threat of climate change and the Paris agreement to limit global temperature rise to well below 2 ⁰ Celsius and to pursue efforts to limit it to 1.5 ⁰ Celsius has stimulated research on and broad commitment to community energy. We investigate this research. We assess how nine different approaches study community energy over time, which methods they use, which countries and regions they focus on, and where they discuss and publish. We analyse the keywords used to identify the research and investigate how these differ along the approaches. We show that community energy research took off only very recently and that especially ‘developed’ countries, in particular, the United Kingdom, United States, Germany and the Netherlands, are studied. Different networks contribute to the understanding of community energy, however the maturity and reach of these networks varies and there is limited exchange between research networks.
Rapidly evolving viral motifs target biophysically constrained binding pockets of host proteins

Evolutionary changes in the host-virus interactome can alter the course of infection, but the biophysical and regulatory constraints that shape interface evolution remain largely unexplored. Here, we focus on viral mimicry of short host-like peptide motifs that allow binding to host domains and modulation of cellular pathways. We observe that motifs from unrelated viruses preferentially target conserved, widely expressed and highly connected host proteins, enriched with regulatory and essential functions. The interface residues within these host domains are more conserved and bind a larger number of cellular proteins than similar motif-binding domains that are not known to interact with viruses. In stark contrast, rapidly evolving viral-binding human proteins form few interactions with other cellular proteins, display high tissue specificity and their interface residues have few inter-residue contacts. Our results distinguish between highly conserved and rapidly evolving host-virus interfaces, and show how regulatory, functional and biophysical factors limit host capacity to evolve, allowing for efficient viral subversion of host machineries.
Generic Circuit Topologies and Their Performance Evaluations of Single-Ended Resonant High-Frequency Inverters for Induction-Heated Cooking Appliances

Single-ended resonant high-frequency inverters are featured by efficient operation on the basis of soft switching transition mode and simple circuit construction. In recent years, these inverters are applied to the indution-heating cooker, and 3 million units are produced annualy. Miniaturization and cost reduction of these induction-heating inverters are required.This paper presents generic circuit topologies of single-ended resonant high-frequency inverters for practical induction-heated cooking appliances. These circuit topologies are classified into 8 categolies, which are derived newly from a view point of the circuit duality concept. Features of all categolies are comparatively described. Two typical voltage-fed circuit topologies of these resonant inverter configrations are analyzed under induction-heated load model. The steady-state performance evaluations are comparatively described and discussed from a practical points of view.
Soft Variable Structure Control with Variable Saturation

For the purpose of achieving high regulation rates and short settling times, the design of soft variable structure control with variable saturation was proposed. For the large state vectors, a linear control is employed to regulate. For the moderate state vectors, the nonlinear component is blended into the control signal. For very small excursions of the state vectors, the nonlinear component becomes linear component, and regulation is accomplished employing two linear controls. So the control parameter available within the constraints may be efficiently utilized. Simulation results verify that the proposed soft variable structure control with variable saturation is better than sliding mode control in regulation rates, settling times and tracking performance. Furthermore the control signals are smooth.
Biopolymer-Modified Carbon Paste Electrode for the Electrochemical Detection of Pb(II) in Water

During the present study, biopolymer lignin was extracted, in particular, from sugar beet pulp (molasses) from the Tadla region (224 km from Marrakech, Morocco). The lignin was characterized by infrared spectroscopy (FTIR) and thermogravimetric TG/DTA analysis and then used as a modifier to enhance the electroanalytical detection of heavy metal ion traces. The performance of the lignin/CPE sensor to detect lead (II) was studied by cyclic voltammetry (CV) and square-wave voltammetry in 0.3 mol L−1 NaCl. With optimized experimental parameters, the lignin/CPE sensor developed has a minimum detection limit of 2.252. 10−11 M for Pb (II). The proposed working electrode has been successfully applied for the coanalysis of Pb (II) in tap water with good results.
A Melatonin Treatment Delays Postharvest Senescence, Maintains Quality, Reduces Chilling Injury, and Regulates Antioxidant Metabolism in Mango Fruit

The effects of an exogenous application of various concentrations and dipping duration of melatonin (MT) treatment on postharvest senescence, quality, chilling tolerance, and antioxidant metabolism of mango fruit cv. “Dashehari” were examined. Fruits were treated with three concentrations of MT (50, 100, or 150 µM), each applied for three times (60, 90, or 120 min), followed by storage at 5 ± 1°C. The MT concentration of 100 µM with a dipping duration of 120 min was efficient in reducing the chilling injury and maintaining the quality of mango fruit for 28 d. Effects of this treatment were due to its effectiveness in reducing metabolic activity, specifically, respiration rate and ethylene production, resulting in higher firmness, titratable acidity, and ascorbic acid content and lower weight loss, total soluble solids, pH, and total soluble solid : acidity ratio. Moreover, it maintained a higher concentration of total phenolics and total flavonoids, as well as antioxidant capacity (2,2-diphenyl-1-picrylhydrazyl and cupric reducing antioxidant power assays), as compared to other treatments. This was further confirmed with higher activities of antioxidant enzymes superoxide dismutase and catalase and membrane stability (according to a lower malondialdehyde content and lipoxygenase activity). Thus, our data show that a 100 µM MT administered for 120 min appears to be the most appropriate treatment to maintain the quality of mango fruits stored at chilling temperatures.
Recent Advancements in Fruit Detection and Classification Using Deep Learning Techniques

Recent advances in computer vision have allowed broad applications in every area of life, and agriculture is not left out. For the agri-food industry, the use of advanced technology is essential. Owing to deep learning’s capability to learn robust features from images, it has witnessed enormous application in several fields. Fruit detection and classification remains challenging due to the form, color, and texture of different fruit species. While studying the impact of computer vision on fruit detection and classification, we pointed out that till 2018 many conventional machine learning methods were utilized while a few methods exploited the application of deep learning methods for fruit detection and classification. This has prompted us to pursue an extensive study on surveying and implementing deep learning models for fruit detection and classification. In this article, we intensively discussed the datasets used by many scholars, the practical descriptors, the model’s implementation, and the challenges of using deep learning to detect and categorize fruits. Lastly, we summarized the results of different deep learning methods applied in previous studies for the purpose of fruit detection and classification. This review covers the study of recently published articles that utilized deep learning models for fruit identification and classification. Additionally, we also implemented from scratch a deep learning model for fruit classification using the popular dataset “Fruit 360” to make it easier for beginner researchers in the field of agriculture to understand the role of deep learning in the agriculture domain.
Advanced Materials, Structures and Processing Technologies Based on Pulsed Laser

Understanding the mechanism of and how to improve the laser processing of polymer films have been important issues since the advent of the procedure. Due to the important role of a photothermal mechanism in the laser ablation of polymer films, especially in transparent polymer films, it is both important and effective to adjust the evolution of heat and temperature in time and space during laser processing by simply adjusting the ambient environment so as to improve and understand the mechanism of this procedure. In this work, studies on the pyrolysis of PET film and on temperature field-assisted ultraviolet nanosecond (UV-ns) pulse laser processing of polyethylene terephthalate (PET) film were performed to investigate the photothermal ablation mechanism and the effects of temperature on laser processing. The results showed that the UV-ns laser processing of PET film was dominated by the photothermal process, in which PET polymer chains decomposed, melted, recomposed and reacted with the ambient gases. The ambient temperature changed the heat transfer and temperature distribution in the laser processing. Low ambient temperature reduced the thermal effect and an increase in ambient temperature improved its efficiency (kerf width: 39.63 μm at −25 C; 48.30 μm at 0 C; 45.81 μm at 25 C; 100.70 μm at 100 C) but exacerbated the thermal effect.
Reproductive phenology and female mating frequency of the praying mantid Tenodera angustipennis in western Japan

The timing and frequency of female mating are important determinants of male reproductive success. Elucidating reproductive phenology is crucial to understand the evolution of mating behaviour and mating systems. Mate encounter rate is a key variable for understanding the evolutionary consequences of sexual cannibalism. However, remarkably little is known about female mating frequency in wild populations in mantids, charismatic insects that exhibit sexual cannibalism. The authors examined the reproductive phenology of a wild population of the sexually cannibalistic praying mantid Tenodera angustipennis, and paid special attention to female mating frequency. Field surveys throughout two reproductive seasons were combined with survival model analysis to estimate the phenology of eclosion, adult sex ratio, female first mating, and oviposition, allowing quantification of time windows for reproductive maturation and female mating. Genetic paternity analysis using newly developed microsatellite markers revealed that females mated with two to six males on average before oviposition in the wild. The results provide a comprehensive record of the reproductive phenology and female mating frequency in a wild mantid population, and insight into the evolution of male mating behaviour under sperm competition and sexual cannibalism.
About the link between biodiversity and spectral variation

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. © 2022 The Authors. Applied Vegetation Science published by John Wiley & Sons Ltd on behalf of International Association for Vegetation Science. This article is a part of the Special Feature "Remote Sensing for Vegetation Science" edited by Duccio Rocchini, Hannes Feilhauer, Sebastian Schmidtlein and Jana Müllerová. 1Institute of Geography and Geoecology, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany 2Institute of Botany of the Czech Academy of Sciences, Průhonice, Czech Republic 3Faculty of Environment, Jan Evangelista Purkyně University, Ústí n. L. , Czech Republic 4Department of Spatial Sciences, Faculty of Environmental Sciences, University of Life Sciences Prague, PrahaSuchdol, Czech Republic
Female Principals’ Narratives of Leading Schools in the Time of the COVID-19 Pandemic

Educational institutions worldwide have weathered several challenges and crises, ranging from school curriculum changes, school closures due to political turmoil, outbreaks of disease, and natural disasters. The last two decades have seen the rise of natural disasters and global health crises and currently, the coronavirus disease 2019 (COVID-19). South African education has not been immune to these challenges and crises. The outbreak of COVID-19 has resulted in global disruption to education institutions marked by the prolonged closure of schools and school community members falling ill and succumbing to the disease. The outbreak and its impact have necessitated school leaders successfully navigating their staff and students through an unprecedented dispensation. Drawing on critical feminist theoretical insights about leadership ethics and women, interand trans-corporeality, and emotional and affective labour, this qualitative study reports on four female principals’ leadership experiences at independent and public high schools in South Africa. Data about the leadership experiences of the participants were generated using various e-platforms. The study explored the personal and professional challenges the female principals experienced during the COVID-19 crisis in relation to contextual factors such as the geographical location of the school; socio-economic status of parents and their involvement in remote teaching and learning; the availability of resources, and their leadership styles, philosophies, and responses to the pandemic, prior to, during and after the national lockdowns. Female Principals’ Narratives of Leading Schools 367 The study revealed that despite experiencing anxiety over the uncertainty of life in general, their perseverance, resilience, ethic of care and empathy and fostering collaboration amongst staff and parents contributed to successfully navigating their schools through the early stages of the COVID19 pandemic. The pandemic also amplified the socio-economic disparities between independent, resource-rich schools and disadvantaged government schools and its subsequent impact on these schools transitioning from traditional to online teaching and learning.
APPLYING FUZZY AHP IN SELECTION OF TRANSPORT MODES FOR KINMEN MILITARY LOGISTICS

Kinmen is suited as an important tactical location for Taiwan, despite being a small island with scarce resources. A number of soldiers defend Kinmen for essential military reasons. Therefore, logistics in Kinmen are very important, especially with regard to the military. Generally, necessary goods and materials for Kinmen are transported from Taiwan by ship or air. However, inclement weather in Kinmen often causes delays and difficulties in transportation. This is a serious problem for Kinmen military logistics. To enhance and increase transportation performance, military logistics centers need to evaluate feasible transport modes based on efficiency and cost, and then select an optimal transport mode. In this study, we applied a fuzzy analytic hierarchy process (fuzzy AHP) in the selection of transport modes for Kinmen military logistics. The pairwise comparison comments on selecting candidate transport modes for Kinmen military logistics were from interviews with practical users (i.e., soldiers in Kinmen). By converting interviewees' comments into fuzzy pairwise comparison matrices, fuzzy AHP was utilized to prioritize these matrices in order to find an optimal transport mode for the Kinmen military to execute logistics effectively and efficiently.
Integration of complete elemental mass-balanced stoichiometry and aqueous-phase chemistry for bioprocess modelling of liquid and solid waste treatment systems – Part 5: Ionic speciation

Where aqueous ionic chemistry is combined with biological chemistry in a bioprocess model, it is advantageous to deal with the very fast ionic reactions in an equilibrium sub-model, as was frequently mentioned in the preceding papers in this series. This last paper in the series presents details of how of such an equilibrium speciation sub-model can be implemented, based on well-known open-source aqueous chemistry models. Specific characteristics of the speciation calculations which can be exploited to reduce the computational burden are highlighted. The approach is illustrated using the ionic equilibrium sub-model of a plant-wide wastewater treatment model as an example.
Analysis of Stability of Mode II Crack Growth

As the previous part of authors ́ research deals with numerical modelling of functionally graded members in general, the following part is focused on analysis of the interface between individual layers. For correct description of interface behavior in numerical simulations, interface model parameters must be determined by appropriate physical tests. Testing methods for the tensile properties are known while the shear tests may face some difficulties. Shear test configurations for measuring interface behavior after the peak which is related to the stable crack growth along the interface are analyzed. The subject of presented paper is to evaluate tests in terms of stable mode II crack growth along the interface. Stable crack growth is assessed by stress intensity factor and finite element method.