Miracle-dz/UniFAR-FTUs huggingface dataset:
OpenStack-Based Evaluation Framework for Smart Grid Cyber Security

The rapid evolution of the power grid into a smart one calls for innovative and compelling means to experiment with the upcoming expansions, and analyze their behavioral response under normal circumstances and when targeted by attacks. Such analysis is fundamental to setting up solid foundations for the smart grid. Smart grid Hardware-In-the-Loop (HIL) co-simulation environments serve as a key approach to answer questions on the systems components, functionality, security concerns along with analysis of the system outcome and expected behavior. In this paper, we introduce a HIL co-simulation framework capable of simulating the smart grid actions and responses to attacks targeting its power and communication components. Our testbed is equipped with a real-time power grid simulator, and an associated OpenStack-based communication network. Through the utilized communication network, we can emulate a multitude of attacks targeting the power system, and evaluating the grid response to those attacks. Moreover, we present different illustrative cyber attacks use cases, and analyze the smart grid behavior in the presence of those attacks.
Enhanced Genetic Algorithm with Risk Management Model for Optimizing Rice Plantation

Rice is one of the important food crops in the world. It is the staple food of population in many countries and the main export product of Thailand. So far, most of rice-farmers in Thailand adopt traditional ways to grow rice and the yields depends on many uncertain factors e.g. agricultural risks. Nowadays, technologies can help increase rice productivity and quality. Therefore, this paper proposes an enhanced genetic algorithm to optimize rice plantation. The optimization model help reduces cost and makes more productivity that benefit for Thai rice-farmers to gain higher profit. We also incorporate a new risk management model to monitor the entire plantation processes. It helps keep track of the common risks and reduces the impacts of residual risks. The simulation results show that using our proposed method can help increase yields and reduce risks. Risk assessment and monitoring throughout the plantation life cycle help identify and resolve problems that could endanger the achievement of overall plantation goals.
Quality Culture Management Model of Chinese Manufacturing Enterprises: A Grounded Theory Study

Lack of excellent quality culture becomes a deep crisis for most Chinese manufacturing enterprises and the obstacles for the quality improvement of their products. How to cultivate an effective quality culture and manage it well within an organization is a key question challenges the manufacturing enterprises. As there is lack of relative research on this issue, and the results of the only researches have been confined to extensive frameworks, this paper, based on the methodology of Grounded Theory, using three-level coding analysis techniques, analyzes in depth the quality culture management practices of eight representative Chinese manufacturing enterprises, and abstracts from those cases a quality culture management model and its measures. This study also analyzes the functions of the measures in developing different dimensions of quality culture. The results of this paper provide both theoretical and experiential reference for more enterprises facing the quality culture challenges.
WTM: An Interlinking Medium for Student Teacher Connectivity

In today's scenario Recommender systems have become increasingly popular in recent years, and are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general. Mostly used in the digital domain, majority of today's E-Commerce sites like eBay, Amazon, Alibaba etc. make use of their proprietary recommendation algorithms in order to better serve the customers with the products they are bound to like. But the most interesting thing is that these recommendation systems are no longer limited to only product or service recommendation. People can also be recommended by using such systems. And it can be applied to solve the biggest problem of the newbie in an institution. The central focus of this paper is to build an application that would take into account the desired field of specialization of the student (especially newbie) and give him or her recommendation of a teacher or senior of the same institution (school or college). The main objective of this paper to take the existing recommendation system into account and make a fusion to give a better sort recommendation subsequently breaking the wall of unawareness and unconsciousness between student and teacher.
Capturing Joint Angles of the Off-Site Human Body

Motion capture (mocap) is traditionally conducted by optical systems. These are expensive and usually limited to controlled environments. We investigated the accuracy of portable and inexpensive mocap sensor systems compared to benchmark optical systems with respect to tracking joint angles. This review summarizes the findings of 21 studies. In these studies, 228 subjects were employed, and 16 joints were tracked, spanning a range of activities. We did not find a system that is consistent and equally accurate across all joint angles for all activities (root mean square error up to 12.1 degrees). However, under some ideal conditions, the results are on par with optical mocap. Our recommendations for future research and development are to focus on tracking faster activities, activities in off-site conditions, and following standardized biomechanical models of joint angles.
Application of a Deep Learning Generative Model to Load Disaggregation for Industrial Machinery Power Consumption Monitoring

Non-Intrusive Load Monitoring (NILM) or Load Disaggregation is a set of techniques to identify and monitor loads from readings of aggregated signals from a unique electricity meter on a building. This paper presents a new dataset of industrial electric energy consumption and compares Factorial Hidden Markov Model and a Deep Learning-based model to disaggregate six different industrial machines from a site meter on a factory in Brazil. The Deep Learning-based model reduced normalized disaggregation error (NDE) and signal aggregated error (SAE) in comparison with the FHMM models for the same appliances. It also increased percentage of time during which the machine is correctly classified as turned ON or OFF.
Towards an Automatic Generation of a Proverbs Bank for Neurological Studies

Comprehension of pragmatic language implicit in proverbs involves cortical areas related with executive functions. In order to formulate a cognitive model for that process, a meaning dispersion area must be created. This area is a bank of proverbs, or sentences that can sound, behave or have the same grammatical structure than proverbs. To create the bank we have designed a semi-automatic system thatmorphologically and syntactically analyzes a corpus of Spanish sayings and generates analogous sentences that will be stimuli in neurobiological experiments in order to find out whether they trigger similar responses.
The Method of Modelling Wireless Network Using Telematics Maps

The paper describes development of the methods and algorithm for predicting telematics on the vehicle’s route. Described data management technology on global and local wireless networks, provides methods for managing data on the telematics environment, implemented a prototype of the data management subsystem. The time dependencies of the execution of queries are analyzed depending on the amount of data for the data warehouse on board the vehicle and for the cloud service. The result of the work is recommendations for developing connection management methods in wireless multiprotocol networks on vehicle devices. The paper describes the result of the development and research methods for predicting the telematics environment, for obtaining and analyzing the temporal characteristics of their functioning from global and local telematic maps.
Glossy Reflections for Mixed Reality Environments on Mobile Devices

Glossy reflections of the surroundings play a major role when trying to achieve a seamless fusion of real and virtual objects in Mixed Reality (MR) environments. Traditionally, the necessary information about the ambiance is captured using mirrored balls, HDR cameras, fish-eye lenses, RGB-D cameras or 360-degree cameras. While these approaches allow for pretty good results, they require a rather complex setup. Our approach is based on a single RGB camera capturing the environmental lighting at a certain location within the scene. Therefore, we apply a precomputation step generating a 360-degree environment map and combine it with a camera-based image stitching for a continuous enhancement and update of the lighting information. We show that our approach allows for realistic and high-quality reflections within an AR/MR environment in real time even on mobile devices.
Extracting Usable Geophysical Doppler Properties from Sentinel–1 for Coastal Monitoring

In 2005, the Doppler frequency from space-borne SAR was demonstrated to contain sea surface current signature. From mid-2007 to 2012, a first Doppler frequency grid from ENVISAT ASAR was proposed by ESA for exploring this information. The OCN-RVL product from Sentinel-l was supposed to provide a Doppler frequency with a better accuracy and resolution than ASAR. The retrieved radial surface velocity could then be directly used by the oceanographic community. However, the Doppler frequency as provided by OCN-RVL today contains a strong signal processing signature that prevents it from being usable in practice. In this paper we propose an algorithm, based on the Doppler properties over land, that is capable to cancel the signature and extract exploitable geophysical information. By making the algorithm freely available, we offer to the coastal community the means to take advantage of this information for the analysis of wind, wave, and sea current signatures, at a spatial resolution of 2 by 2km2.
Containerizing HPC Applications on Heterogeneous Systems for Centralized Resource Management: A Case Study

Recently, the demand for scientific computing on HPC systems has grown in popularity. However, the runtime environment is a standpoint when there are many kinds of different applications with different requirements. Moreover, an HPC system cannot satisfy all of these requirements of environment. This becomes more and more considerable in the case of applications running on heterogeneous systems (e.g., CPU/Intel Xeon Phi based cluster). Generally, two main problems needing to be tackled in HPC systems are runtime environment and workload management. In terms of lightweight virtualization, Docker facilitates the isolation of different applications as well as runtime environments on the same host operating system. In addition, with huge advantages, batch job scheduler plays a vital role in management and operation. In this paper, we adopt an approach by combining containerization and HPC workload management to support the submission of a variety of applications. Practically, we perform the experiments on a heterogeneous cluster with CPU and Intel Xeon Phi coprocessor. The results show that there is a slightly different about the performance of jobs which are submitted by the normal way and containerized way. However, the experimental result highlights that the cost of containerizing HPC applications is negligible, and this can be applied in practice to fulfill user's requirement.
Application of Heterogeneous Multi-Criteria Decision Making in the Financial Analysis for Manufacturing Company

Financial conditions can reflect the economic development of manufacturing companies in the past, present and future. The analysis of corporate financial conditions can help to provide information and evidence for decision-making. Therefore, the financial analysis method which is helpful to make decision has been widely concerned by scholars. However, the indexes that reflect the financial condition of the company not only may be clear numbers, but also may be non-numerical information which cannot be represented by the exact value. In order to solve the problem that most existing methods didn't take the fuzzy value and the actual value into consideration, the heterogeneous multi criteria decision (MCDM) is applied to analyze the financial condition of the manufacturing enterprises in this paper. The proposed method employs fuzzy theory to improve extant financial index system and considers quantitative and qualitative attributes, which may leads heterogeneous information, such as real numbers, interval numbers and triangular fuzzy numbers. Furthermore the proposed method determines companies ordering by using TOPSIS based on their total financial condition. Moreover, based on the comparison between these companies, different aspects of the financial conditions can be analyzed in detail. Finally, a case study is conducted to verify the proposed method can effectively analyze the financial conditions of manufacturing companies.
A comparison of pixel and object-based change detection techniques using Landsat-8 multispectral imagery from Barrancabermeja city

Remote sensing techniques collect relevant information from Earth surface. This information is useful for deforestation analysis, natural disasters monitoring, urban expansion analysis, and study of climate changes. Multispectral and hyperspectral systems had powered this applications allowing temporal analysis using classical pixel-based techniques and most promising techniques like object-based classifiers. Aiming to study land cover changes in Colombian territory, a remote sensing change detection study is presented in this work. A comparison between pixel-based and object-based techniques was performed over multispectral imaging from Landsat-8 collected over Barrancabermeja city. Obtained results show that object-based classification technique outperform the pixel based one, besides it shows that Barrancabermeja region is constantly changing, specially by the crops in the rural area but slightly affected by deforestation.
Dynamics of the Centromeric Histone CENH3 Structure in Rye-Wheat Amphidiploids (Secalotriticum)

The centromeres perform integral control of the cell division process and proper distribution of chromosomes into daughter cells. The correct course of this process is often disrupted in case of remote hybridization, which is a stress factor. The combination of parental genomes of different species in a hybrid cell leads to a “genomic shock” followed by loss of genes, changes in gene expression, deletions, inversions, and translocations of chromosome regions. The created rye-wheat allopolyploid hybrids, which were collectively called secalotriticum, represent a new interesting model for studying the effect of remote hybridization on the centromere and its components. The main feature of an active centromere is the presence of a specific histone H3 modification in the centromeric nucleosomes, which is referred to as CENH3 in plants. In this paper the results of cytogenetic analysis of the secalotriticum hybrid karyotypes and the comparison of the CENH3 N-terminal domain structure of parent and hybrid forms are presented. It is shown that the karyotypes of the created secalotriticum forms are stable balanced hexaploids not containing minichromosomes with deleted arms, in full or in part. A high level of homology between rye and wheat enables to express both parental forms of CENH3 gene in the hybrid genomes of secalotriticum cultivars. The CENH3 structure in hybrids in each crossing combination has some specific features. The percentage of polymorphisms at several amino acid positions is much higher in one of the secalotriticum hybrids, STr VD, than in parental forms, whereas the other hybrid, STr VM, inherits a high level of amino acid substitutions at the position 25 from the maternal parent.
Is Cross-reactivity with Nontuberculous Mycobacteria a Systematic Problem in the Xpert MTB/RIF Assay?

tidrug-resistant tuberculosis. Moreover, M. abscessus is an important etiologic organism of NTM pulmonary disease in many countries with high tuberculosis burden such as China and South Korea. Misdiagnosis of NTM as MTB or RFPresistant MTB is a significant concern in defining a proper tuberculosis program in these countries. We therefore tried to validate the previous experiment with the misdiagnosed NTM species to evaluate whether the Xpert assay showed crossreactivity between MTB and five NTM species. A total of five NTM reference strains (M. abscessus, M. marinum, M. smegmatis, M. phlei , and M. aurum) from American Type Culture Collection or the Korean Mycobacteria Resource Center were included in this study (Table 1). Freshly grown bacterial colonies were obtained from 3% Ogawa agar (Shinyang, Seoul, Korea). Subsequently, the bacteria were suspended in sterile distilled water and vortexed vigorously. The turbidity was adjusted to a 0.5 McFarland (approximately 1×10 colony-forming unit [CFU]/mL). Additionally, the bacteria were diluted, resulting in tubes containing 1×10 CFU/ mL equivalents. The Xpert assay was performed using the G4 version of cartridges with sediment protocol according to the The Xpert MTB/RIF assay (Xpert assay; Cepheid, Sunnyvale, CA, USA) is a fully automated, real-time polymerase chain reaction assay that is designed to detect the presence of Mycobacterium tuberculosis (MTB) and rifampin (RFP) resistance. The Xpert assay can be utilized as a rapid diagnostic test for tuberculosis and RFP-resistant tuberculosis. The review article which was recently published in this journal emphasized rapid molecular diagnosis of RFP-resistant tuberculosis for the optimal treatment of multidrug-resistant tuberculsosis. Xpert assay can also be used to differentiate MTB from nontuberculous mycobacteria (NTM) in acid-fast bacilli (AFB) smear-positive cases. Although several previous studies have demonstrated that the Xpert assay showed excellent performance in distinguishing MTB from NTM in smear-positive or negative clinical specimens, the misdiagnosis of MTB by the Xpert assay was recently reported for five NTM species (M. abscessus, M. marinum, M. smegmatis , M. phlei , and M. aurum) at a high bacterial load. The results reported by Pang et al. have very important clinical implications, because AFB smear microscopy cannot differentiate between MTB and NTM and many patients with NTM pulmonary disease were misdiagnosed with pulmonary tuberculosis and even mulTable 1. Xpert assay results for detecting different mycobacterial species
Efficacy of an Emergency Cervical Cerclage Using Absorbable Monofilament Sutures

Introduction Although nonabsorbable woven tape has been widely used for cervical cerclage, technical difficulties that can occur with an effaced cervix because of the thickness of the tape, and the risks of local infection are two major concerns. This study investigated perinatal outcomes of pregnancies involving an emergency cervical cerclage using absorbable monofilament polydioxanone sutures, which is a narrow thread and protects against bacterial infection. Materials and Methods We performed a chart review of patients who underwent emergency McDonald cerclage with polydioxanone sutures at our institution between 2007 and 2015. Gestational age at delivery, duration between cerclage and delivery, and neonatal prognosis were evaluated as primary outcomes. Results Among the 23 patients (18 singleton and five twin pregnancies) evaluated, ultrasound-indicated (progressive cervical length shortening) were eight (35%) and physical examination-indicated (fetal membranes that prolapsed into the vagina or dilated cervix) were 15 patients (65%). The median gestational age at cerclage was 22+3 weeks (range, 17+5 to 25+3 weeks). Postoperative spontaneous abortion occurred in only one patient. The median gestational age at delivery was 32+5 weeks (range, 20+5 to 40+6 weeks). Extremely preterm delivery before 28 weeks of gestation occurred in four (17%) cases. Full-term delivery was achieved in 10 (42%) cases. The duration between cerclage and delivery ranged from 5 to 136 days (median, 77 days). Except for one case of spontaneous abortion, all newborns survived till hospital discharge. Conclusions Although our series included some patients at high risk for spontaneous abortion and preterm delivery, satisfactory prolongation and favorable neonatal outcomes were achieved for most patients by using absorbable monofilament sutures, thus suggesting the efficacy of this type of suture for emergency cervical cerclage.
Regulation of gastric smooth muscle contraction via Ca2+-dependent and Ca2+-independent actin polymerization

In gastrointestinal smooth muscle, acetylcholine induced muscle contraction is biphasic, initial peak followed by sustained contraction. Contraction is regulated by phosphorylation of 20 kDa myosin light chain (MLC) at Ser19, interaction of actin and myosin, and actin polymerization. The present study characterized the signaling mechanisms involved in actin polymerization during initial and sustained muscle contraction in response to muscarinic M3 receptor activation in gastric smooth muscle cells by targeting the effectors of initial (phospholipase C (PLC)-β/Ca2+ pathway) and sustained (RhoA/focal adhesion kinase (FAK)/Rho kinase pathway) contraction. The initial Ca2+ dependent contraction and actin polymerization is mediated by sequential activation of PLC-β1 via Gαq, IP3 formation, Ca2+ release and Ca2+ dependent phosphorylation of proline-rich-tyrosine kinase 2 (Pyk2) at Tyr402. The sustained Ca2+ independent contraction and actin polymerization is mediated by activation of RhoA, and phosphorylation of FAK at Tyr397. Both phosphorylation of Pyk2 and FAK leads to phosphorylation of paxillin at Tyr118 and association of phosphorylated paxillin with the GEF proteins p21-activated kinase (PAK) interacting exchange factor α, β (α and β PIX) and DOCK 180. These GEF proteins stimulate Cdc42 leading to the activation of nucleation promoting factor N-WASP (neuronal Wiskott-Aldrich syndrome protein), which interacts with actin related protein complex 2/3 (Arp2/3) to induce actin polymerization and muscle contraction. Acetylcholine induced muscle contraction is inhibited by actin polymerization inhibitors. Thus, our results suggest that a novel mechanism for the regulation of smooth muscle contraction is mediated by actin polymerization in gastrointestinal smooth muscle which is independent of MLC20 phosphorylation.