Miracle-dz/UniFAR-FTUs huggingface dataset:
Cognitive Based Course Activity:An Opportunity to Enhance Deficient Skills

The proposal describes about a course activity designed for sixth semester students of Instrumentation Technology for the course Process Control and Automation. As the activity demands technical, writing and oral presentation skills, students were accordingly grouped based on their capabilities they possess which in turn helps to enhance the other skills they lack. The activity designed focuses on identification and study of programmable logic controllers (PLCs) required in the field of automation, deployment of automation concepts for development of ptototypes and usage of virtual instrumentation tool for implementation of controller principles. This activity has positive effect on personal and interpersonal development of students as well between peer communities. Progress justification can be made by mapping the performance indicators formed for the evaluation of activity with the attainment of program outcomes.
TheU seofTim eSeriesAnalysisfortheStudyof

Various sources of systematic error exist for both Magnetic Resonance Imaging and Spectroscopy. In particular, MRI and MRS are sensitive to any type of microscopic and macroscopic motion. In this paper 1 we study the use of the Lomb-Scargle periodogram in the analysis of k-space data from motion artefacted MR images and spectra, while we provide a detailed review on the theoretical foundations of this method. We investigate the usefulness of this technique for detecting suspected periodic and quasi-periodic perturbations in MR signals, introduced by respiratory motion. Our work strongly suggests that the Lomb-Scargle periodogram can o er interesting qualitative information, relating to the e ect of motion artefacts in MRI/MRS. The paper discusses the issues relating to the future use of this method for the identi cation and analysis of systematic errors in clinical MRI/MRS.
ANTIVIRAL AND ANTI-QUORUM SENSING ACTIVTIES OF LYOPHILIZED AQUEOUS EXTRACT OF PROPOLIS FROM SÉTIF

Aqueous extracts are preferentially used in traditional medicine in Algeria. Among these extracts, propolis is used for the treatment of wounds, boils, canker sores, burns. The purpose of this study was to evaluate the antiviral/antiquorum sensing (anti-QS) characteristics of Propolis aqueous extract collected from bee hive near Sétif (east of Algeria) against human pathogenic viruses and gram negative bacteria. First the Maximal Allowable Concentration (MAC) of the lyophilized aqueous extract of propolis was determined to avoid the toxicity of the extract. A human lymphoid cell line that contains Epstein Barr Virus (EBV) genome as an episome (P3HR-1) and HEp-2 infected with Coxsackievirus (CVB4), were selected according to their ability to deliver endemic infectious viruses at high titers. Antibacterial activity was screened by evaluating anti-QS capacity of the extract. Pre-treatment revealed that the MAC of the extract reduces the viral titer of Coxsackievirus by half a log from TCID50 = 105.07 to TCID50 = 104.6, and protected HEp-2 against CVB4 infection. While no antiviral effect on the EBV replication was obtained. The anti-QS capability of the extract was showed against Chromobacterium violaceum strain 026, and by protecting Artemia from Vibrio harveyi BB120 infection.The aqueous extract pre-treatment has not antiviral protection, for DNA viruses. It protected HEp-2 cells against CVB4 infection, degraded Acyl Homoserines lactones (AHL), and protected animal Artemia.
Sliding-mode based Thrust Vector Control for Aircrafts

In recent years, aircraft research has focused its attention on propulsion systems that control vehicle attitude and flight path by Thrust Vector Control, TVC. The propulsion system with an integrated TVC mechanism is characterized to be provided better maneuverability to the aircraft through moments that allow rotating the flying vehicle helping to the attitude control. This paper proposes a sliding-mode-based TVC for an aircraft, focusing our attention on controlling the angle of attack through the convergence flightpath angle and the pitch angle. Using a rocket as a study system, we firstly present its dynamic model, assuming that the shape of the Earth is an ellipsoid. Then, a sliding-mode-based TVC is proposed to guarantee the aircraft attitude control, regulating the effective angle of attack. Finally, some result simulations show the performance of the proposed controller under different conditions.
Development and assessment of an updated tool for the design of soil and water conservation structures in the sugar industry of South Africa

Sugarcane in South Africa is grown on wide-ranging soils, sometimes in non-ideal climates and on steep topographies where soils are vulnerable to erosion. Sugarcane fields are protected against erosion through, inter alia, the use of engineered waterways, contour banks and spill-over roads. A comparison of design norms in the National Soil Conservation Manual and norms used in the sugar industry of South Africa clearly shows discrepancies that need to be investigated. Furthermore, the sugar industry design nomograph was developed based on an unsustainable soil loss limit, does not include any regional variations of climate and the impact on soil erosion and runoff and does not include vulnerability during break cropping. The aim of this research was to develop and assess updated design norms for soil and water conservation structures in the sugar industry of South Africa. The Agricultural Catchments Research Unit (ACRU) model estimates event-based erosion and the ACRU was used to conduct simulations for the different practices in the sugar industry and the outcome used to build the updated tool for the design of soil and water conservation structures in the sugar industry of South Africa, using MS Access with a graphical user interface. The updated tool is robust, based on sustainable soil loss limits, includes regional variations of climate and their impact on soil erosion and runoff and also includes vulnerability during break cropping. It is more representative of conditions in the sugar industry of South Africa and therefore recommended for use in place of the current sugar industry design norms.
13 권오경 JKWST-17-70 (797-808).hwp

Automatic wood species identification systems have enabled fast and accurate identification of wood species outside of specialized laboratories with well-trained experts on wood species identification. Conventional automatic wood species identification systems consist of two major parts: a feature extractor and a classifier. Feature extractors require hand-engineering to obtain optimal features to quantify the content of an image. A Convolutional Neural Network (CNN), which is one of the Deep Learning methods, trained for wood species can extract intrinsic feature representations and classify them correctly. It usually outperforms classifiers built on top of extracted features with a hand-tuning process. We developed an automatic wood species identification system utilizing CNN models such as LeNet, MiniVGGNet, and their variants. A smartphone camera was used for obtaining macroscopic images of rough sawn surfaces from cross sections of woods. Five Korean softwood species (cedar, cypress, Korean pine, Korean red pine, and larch) were under classification by the CNN models. The highest and most stable CNN model was LeNet3 that is two additional layers added to the original LeNet architecture. The accuracy of species identification by LeNet3 architecture for the five Korean softwood species was 99.3%. The result showed the automatic wood species identification system is sufficiently fast and accurate as well as small to be deployed to a mobile device such as a smartphone.
The Calabrian Arc: a detailed structural model of the lithosphere-asthenosphere system

Several geodynamic processes and the lithosphere structural properties of the Central Mediterranean are still unknown and not yet completely understood. To make a step towards a better knowledge of the opening of the Tyrrhenian Basin, the subduction of the Ionian lithosphere in the Calabrian Arc and the migration of the back arc system of the Apennine chain, a fairly detailed structural model of the lithosphere-asthenosphere system (thickness, Sand P-wave velocities of the crust and of the uppermost mantle layers) has been defined for cells of 1°x1° in the Calabrian Arc region. This has been done with the non-linear inversion of local dispersion data, obtained from surface wave tomography. Available seismic and geological data derived from previous studies have been used as a priori and independent information. This study has allowed to identify a peculiar lithosphere with a very shallow Moho (less then 10 km deep) and a low Vs just below a very thin lid, in correspondence of the submarine volcanic bodies Magnaghi, Marsili and Vavilov (in the Southern Tyrrhenian Sea), whilst the lid in the area that separates Marsili from Magnaghi-Vavilov has a quite high Vs. In the areas of Aeolian islands, Vesuvius, Phlegraean Fields and Ischia a shallow and very low Vs layer in the uppermost mantle has been interpreted as their shallowmantle magma source, while a thickened continental crust and lithospheric doubling is detected in Calabria. In the investigated part of the Ionian Sea the crust is about 25 km thick and the mantle velocity profile versus depth seems to be consistent with the presence of a continental rifted lithosphere now thermally relaxed. The resolution of our data has allowed recognizing both the subduction towards north-west of the Ionian lithosphere below the Southern Tyrrhenian Sea and the subduction of the Adriatic/Ionian lithosphere underneath the Vesuvius and Phlegraean Fields.
Augmented Reality Using Text-based Marker for Intermediate Reading Course Modules

—Reading comprehension in English is very necessary for second-semester students as prospective English teachers. Learning is equipped with independent modules, if finding words in one sentence is difficult to understand in one complete sentence as a result of translation, then a special dictionary is needed. The problem is that it takes time to look up a word in a paper-based printed dictionary. Smartphone-based application development to define difficult words when translated directly needs to be done as a solution to the problem. The developed application must be attractive, efficient, and easy to operate. The steps are analyzing requirements, designing applications, and developing them. Android-based application products have been successfully developed by utilizing the API to recognize letters. Users respond positively to the application developed and meet the expected needs. The application is also able to increase learning motivation with the support of easier word search and definition. Although subject matter experts and users share the same comments on the developed application, it will be discussed further in this article.
Continuous vegetation record of the Greater Cape Floristic Region (South Africa) covering the past 300 000 years

The Greater Cape Floristic Region (GCFR) of South Africa is a biodiversity hotspot of global significance, and its archeological record has substantially contributed to the understanding of modern human origins. For both reasons, the climate and vegetation history of southwestern South Africa is of interest to numerous fields. Currently known paleoenvironmental records cover the Holocene, the last glacial–interglacial transition and parts of the last glaciation but do not encompass a full glacial–interglacial cycle. To obtain a continuous vegetation record of the last Pleistocene glacial–interglacial cycles, we studied pollen, spores and micro-charcoal of deep-sea sediments from IODP Site U1479 retrieved from SW of Cape Town. We compare our palynological results of the Pleistocene with previously published results of Pliocene material from the same site. We find that the vegetation of the GCFR, in particular fynbos and afrotemperate forest, responds to precessional forcing of climate. The micro-charcoal record confirms the importance of fires in the fynbos vegetation. Ericaceae-rich and Asteraceaerich types of fynbos could extend on the western part of the Paleo-Agulhas Plain (PAP), which emerged during periods of low sea level of the Pleistocene.
Designing Consultation Chatbot Using Telegram API and Webhook-based NodeJS Applications

—Chatbots are a type of technology that has been used in a variety of areas in recent years, especially as the use of online media has become massively. The development of a chatbot application cannot be separated from the usage of server architecture. Because chatbots, in general, require quite complex processing, so the chosen server architecture and components also determining factors in whether or not the chatbot is capable of performing its tasks. This study tries to discuss designing a chatbot using the webhook concept, where the webhook server will only work when there is a message from the user that needs to be replied to. This concept can reduce the server workload, so the server can focus on the chatbot algorithm to be implemented.
Learning Action-Transferable Policy with Action Embedding

Transfer learning (TL) is a promising way to improve the sample efficiency of reinforcement learning. However, how to efficiently transfer knowledge across tasks with different state-action spaces is investigated at an early stage. Most previous studies only addressed the inconsistency across different state spaces by learning a common feature space, without considering that similar actions in different action spaces of related tasks share similar semantics. In this paper, we propose a method to learning action embeddings by leveraging this idea, and a framework that learns both state embeddings and action embeddings to transfer policy across tasks with different state and action spaces. Our experimental results on various tasks show that the proposed method can not only learn informative action embeddings but accelerate policy learning.
Deep convolutional neural networks architecture for an efficient emergency vehicle classification in real-time traffic monitoring

Nowadays, intelligent transportation system (ITS) has become one of the most popular subjects of scientific research. ITS provides innovative services to traffic monitoring. The classification of emergency vehicles in traffic surveillance cameras provides an early warning to ensure a rapid reaction in emergency events. Computer vision technology, including deep learning, has many advantages for traffic monitoring. For instance, convolutional neural network (CNN) has given very good results and optimal performance in computer vision tasks, such as the classification of vehicles according to their types, and brands. In this paper, we will classify emergency vehicles from the output of a closed-circuit television (CCTV) camera. Among the advantages of this research paper is providing detailed information on the emergency vehicle classification topic. Emergency vehicles have the highest priority on the road and finding the best emergency vehicle classification model in realtime will undoubtedly save lives. Thus, we have used eight CNN architectures and compared their performances on the Analytics Vidhya Emergency Vehicle dataset. The experiments show that the utilization of DenseNet121 gives excellent classification results which makes it the most suitable architecture for this research topic, besides, DenseNet121 does not require a high memory size which makes it appropriate for real-time applications.
KOREAN JOURNAL OF ENGLISH LANGUAGE AND LINGUISTICS

This is an open-access article distributed under the terms of the Creative Commons License, which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT Kim, Jungsoo. 2021. A corpus study of the English negative stripping construction and its theoretical consequences. Korean Journal of English Language and Linguistics 21, 912-935.
Using of wavelet transform in the analysis of AE signals accompanying the process of epoxy resins electrical treeing

The paper presents a computer application developed for analysis of acoustic emission signals accopanying the process of electric treeing occurring in polymeric materials, and in particular epoxy resins used as high-voltage solid insulation. A method for measuring, recording and registration of signals was presented. In particular,it is shown how the developed application uses wavelet transformation to remove noise from the recorded signal, and to carry out a time-frequency analysis of these signals. The results of the sample analysis of the recorded signals were also shown. Streszczenie. W artykule zaprezentowano aplikację komputerową opracowaną w celu analizy sygnałów emisji akustycznej towarzyszących procesowi drzewienia elektrycznego materiałów polimerowych, w szczególności żywic epoksydowych stosowanych jako wysokonapięciowa izolacja stała. Zaprezentowano sposób pomiaru, rejestracji i rejestracji sygnałów. W szczególności pokazano w jaki sposób opracowana aplikacja wykorzystuje transformację falkowa do usunięcia szumów z zarejestrowanego sygnału, a także do prowadzenia analizy czasowo-częstotliwościowej tych sygnałów. Pokazano również wyniki przykładowej analizy zarejestrowanych sygnałów. Analiza sygnałów emisji akustycznej towarzyszących procesowi drzewienia elektrycznego materiałów polimerowych Słowa kluczowe: transformata falkowa, drzewienie elektryczne; badania nieniszczące, izolacja wysokonapięciowa.
Enhancing the Performance of Interface Evaluators Using Non-Empirical Usability Methods

Heuristic Evaluation has been shown to be a quick cost-effective methodology that can lead to early identification of many of the same user interface errors as laboratory usability studies. In this paper, we describe a method designed to enhance the performance of expert, system developer, and non-expert evaluators. The evaluators most proficient at Heuristic Evaluation are Human-Factors Experts (Desurvire, Lawrence and Atwood, 1991; Desurvire, Kondziela and Atwood, 1992; Jeffries, Miller, Wharton and Uyeda, 1991) and most notably, “double experts” (Nielsen, 1992). Similar results were obtained for the Cognitive Walkthrough developed by Lewis, Polson, Wharton and Rieman, 1990 (Desurvire, et al., 1992; Jeffries, et al., 1991). We were interested in whether a non-empirical method could be developed in which evaluators other than Human Factors Experts can perform nearly as well as Experts. Desurvire, et al. (1992) found that Heuristic Evaluation and Cognitive Walkthroughs not only predicted problems observed in laboratory studies but also encouraged evaluators to suggest improvements. In addition, non-empirical methods stimulated evaluators to point out problems that would be likely to occur in actual use, but would not be observed in laboratory studies. We were interested in expanding this finding by developing a method that encouraged a broader scope of thinking, and thus a broader evaluation. In this paper, we describe the method Programmed Amplification of Valuable Experts (PAVE) and how it enhanced the performance of System Developers and Non-Human-Factors-Expert evaluators. Future work is discussed in which real users in the field will be compared to these results.
Arterial Input Function segmentation based on a contour geodesic model for tissue at risk identification in Ischemic Stroke.

PURPOSE Perfusion parameters such as cerebral blood flow (CBF) and Tmax have been proven to be useful in the diagnosis and prognosis for Ischemic stroke. Arterial input function (AIF) is required as an input to estimate perfusion parameters. This makes the AIF selection paradigm of clinical importance. METHODS This study proposes a new technique to address the problem of AIF selection, based on a variational segmentation model that combines geometric constraint in a distance function. The modified model uses discrete total variation in the distance term and via minimizing an energy locates the arterial regions. Matrix analysis is utilized to identify the AIF with maximum peak height within the segmented region. RESULTS Group mean differences indicate that overall the AIF selected by purposed method has better arterial features of higher peak position (16.7 a.u and 26.1 a.u) and fast attenuation (1.08 seconds and .9 seconds) as compared to the other state of the art methods. Utilizing the selected AIF, mean CBF and Tmax values were estimated higher than the traditional methods. Ischemic regions were precisely located through the perfusion maps. CONCLUSIONS This AIF segmentation framework worked on perfusion images at levels superior to the current clinical state of the art. Consequently, the perfusion parameters derived from AIF selected by the purposed method were more accurate and reliable. The proposed method could potentially be considered as part of the calculation for perfusion imaging in general. This article is protected by copyright. All rights reserved.
Analysis of exocyst function in endodermis reveals its widespread contribution and specificity of action

Abstract The exocyst is the main plasma membrane vesicle-tethering complex in eukaryotes and is composed of eight different subunits. Yet, in plant genomes, many subunits display multiple copies, thought to reflect evolution of complex subtypes with divergent functions. In Arabidopsis thaliana root endodermal cells, the isoform EXO70A1 is required for positioning of CASP1 at the Casparian Strip Domain, but not for its non-targeted secretion to the plasma membrane. Here, we show that exo84b resembles exo70a1 mutants regarding CASP1 mistargeting and secretion of apoplastic proteins, but exo84b additionally affects secretion of other integral plasma membrane proteins. Moreover, conditional, cell-type-specific gene editing of the single-copy core component SEC6 allows visualization of secretion defects in plant cells with a complete lack of exocyst complex function. Our approach opens avenues for deciphering the complexity/diversity of exocyst functions in plant cells and enables analysis of central trafficking components with lethal phenotypes.
Nutritional status of patients with lymphoproliferative neoplasms before and after the first-line treatment

ABSTRACT Background Nutritional disorders in cancer patients, including lymphoproliferative neoplasms, occur with varying frequency. Objectives The primary aim of the study was to analyze the changes in the nutritional status of patients with lymphoproliferative neoplasms following first-line chemotherapy. Materials and methods 46 patients, with a median age of 62 years, participated in a prospective single-center study. Their demographic, biochemical and clinical features were analyzed. The study consisted of several stages that were conducted at two time points. P values < 0.05 were considered statistically significant. Results The study included patients with multiple myeloma (48%), non-Hodgkin’s lymphoma (28%) or chronic lymphocytic leukemia (24%). After the end of the first-line chemotherapy, a decrease in the concentration of albumin (p = 0.04), transferrin (p = 0.38) and total cholesterol (p = 0.76) were found. Statistically greater unintended weight loss occurred before treatment initiation (p < 0.001). Moreover, a significant decrease in the mean values of the phase angle (p < 0.01) was noted. Conclusions Most patients before the oncological therapy did not show clinical or biochemical symptoms of malnutrition. However, after the treatment was completed, the parameters of the nutritional status showed its deterioration.
Microbial Musings – December 2021

Received 14 December 2021; Published 12 January 2022 Author affiliations: Department of Biology, University of York, York, YO10 5YW, UK. *Correspondence: Gavin H. Thomas, gavin. thomas@ york. ac. uk Abbreviations: AMR, antimicrobial resistance; CM, cytoplasmic membrane; LAra4n, 4amino4deoxyLarabinose; LPS, lipopolysaccharide; MIC, minimal inhibitory concentration; OM, outer membrane; pEtN, phosphoethanolamine; SCV, small colony variant; WHO, World Health Organization. 001134 © 2021 The Authors