Miracle-dz/UniFAR-FTUs huggingface dataset:
A Multi-Label Classification Method for Vehicle Video

In the last few years, smartphone usage and driver sleepiness have been unanimously considered to lead to numerous road accidents, which causes many scholars to pay attention to autonomous driving. For this complexity scene, one of the major challenges is mining information comprehensively from massive features in vehicle video. This paper proposes a multi-label classification method MCM-VV (Multi-label Classification Method for Vehicle Video) for vehicle video to judge the label of road condition for unmanned system. Method MCM-VV includes a process of feature extraction and a process of multi-label classification. During feature extraction, grayscale, lane line and the edge of main object are extracted after video preprocessing. During the multi-label classification, the algorithm DR-ML-KNN (Multi-label K-nearest Neighbor Classification Algorithm based on Dimensionality Reduction) learns the training set to obtain multi-label classifier, then predicts the label of road condition according to maximum a posteriori principle, finally outputs labels and adds the new instance to training set for the optimization of classifier. Experimental results on five vehicle video datasets show that the method MCM-VV is effective and efficient. The DR-ML-KNN algorithm reduces the runtime by 50%. It also reduces the time complexity and improves the accuracy.
Fractional Brownian Motions

1 The project The term Fractional Brownian motions (fBm’s) were first used by Mandelbrot and van Ness in their seminal paper “Fractional Brownian motions, fractional noises and applications” to give a generalization to the standard Brownian motions. They realized fBm’s sometimes serve as a better model for many random phenomena because of its “interdependence between distant samples”. What that means informally is the change in the future will depend on the changes in the past, unlike in the case of standard Brownian motions where the changes are independent of each other. Consequently, fBm’s have found applications in modeling random processes appearing in economics, finance, hydrology, wave propagation in random media, etc.
Home-range, habitat use and diet of the Tasmanian Masked Owl Tyto novaehollandiae castanops

Estimates of home-range are reported for the Tasmanian Masked Owl Tyto novaehollandiae castanops using radio-telemetry in a modified agricultural land–forest landscape in south-eastern Tasmania. Home-range sizes for two female Owls were 1991 ha and 1896 ha using the Minimum Convex Polygon method, and 2507 ha and 2320 ha, respectively, using the Kernel Estimator method. The 50% isopleth Kernel estimated a core area of 174 ha and 309 ha for each Owl, respectively. Both Owls used two core areas within their home-range reflecting frequent foraging and roosting sites. The location and configuration of the home-ranges within the landscape, and areas of core use, suggest that Masked Owls are responding to geomorphology, heterogeneity of forest patches, forest structure and abundance and accessibility of prey. Both Owls preferentially foraged at forest edges, riparian zones and small forest patches. Frequently used foraging locations were in open forest with minimal understorey vegetation and a pasture groundcover, which probably reflects increased prey abundance, diversity and accessibility in this habitat type. The diet of both Owls was dominated by locally abundant native and introduced ground-dwelling eutherian mammals and marsupials. The strong association with riparian zones of both Owls in this study highlights the potential importance of retaining streamside vegetation to the conservation of the Tasmanian Masked Owl.
Intrapreneurial behaviors and innovative performance: The moderating role of employees’ characteristics in commercial banks

Article history: Received May 18 2020 Received in revised format May 26 2020 Accepted July 18 2020 Available online July 18 2020 This research aimed to investigate the impact of the intrapreneurial behaviors of bank employees on the innovative performance of commercial banks in Jordan and the moderating role of employees' characteristics. The research population comprised of approximately 676 branches of commercial banks, with approximately 18,858 banking employees from different cities in Jordan. A convenience sampling technique was used to choose the participants in this research. A total of 372 questionnaires were distributed, and 250 were returned. The number of valid questionnaires was 242, which was a response rate of 65%. The results confirmed a significant and positive effect of intrapreneurial behaviors on the innovative performance of banks. This research provides useful guidelines for further and future research possibilities, such as exploring why one bank's performance or competitiveness is stronger than another bank, where extracting entrepreneurial performance from the employees and supporting it represents the difference between banks. Banks that engage in better entrepreneurial performance will perform better, resulting in better productivity and business sustainability. The outcome of this study provides essential suggestions for banks for enhancing and support innovative performance in Jordan. © 2020 by the authors; licensee Growing Science, Canada
Factors Affecting the Sustainability Reporting, Evidence from Bangladesh

MOFIJUL HOQ MASUM, MOHAMMAD TARIQ HASAN, MAHADI HASAN MIRAZ, MD. KASHEDUL WAHAB TUHIN & A. H. M. YEASEEN CHOWDHURY Assistant Professor, School of Business and Economics, United International University, Dhaka, Bangladesh PhD Fellow, School of Technology Management and Logistics, Universiti Utara Malaysia, (UUM), Malaysia Associate Professor, Department of Marketing, Jahangirnagar University, Savar, Dhaka Associate Professor, Faculty of Business Studies, Bangladesh University of Professionals, Bangladesh ABSTRACT
Interface Cérebro-Máquina baseada em Imagética Motora: Estudo comparativo da quantidade de canais de EEG

—O trabalho desenvolvido consiste em implementar um sistema interface c´erebro-computador (ICM) baseado na imag´etica motora de duas classes. O registro da atividade el´etrica cerebral ´e realizado atrav´es de sinais de Eletroencefalograma - EEG. O objetivo ´e avaliar a utilizac¸˜ao de uma quantidade reduzida de eletrodos posicionados no escalpo do usu´ario da ICM para o registro do EEG, sem comprometer signiﬁcativamente a acur´acia de classiﬁcac¸˜ao dos sinais de EEG. No total, oito sensores s˜ao posicionados sobre o couro cabeludo para a coleta dos sinais de EEG realizada via OpenBCI Cyton board . Os algoritmos para tratamento dos sinais de EEG s˜ao implementados em software espec´ıﬁco para ICM e distribu´ıdo gratuitamente - OpenVibe . Os resultados s˜ao apresentados em bloco com base na acur´acia obtida para cada cen´ario. Abstract —The work developed here consists in the implemen- tation of a motor imaregy (MI) based Brain-Computer Interface (BCI). The registering of the brain’s electric activity is performed through electroencephalogram (EEG) signals. The aim is to evaluate the use of a small amount of electrodes positioned on the ICM user’s scalp to register the EEG without signiﬁcantly compromise the accuracy of the EEG signals ranking. Altogether, eight sensors are placed on the scalp to collect the EEG signals made through the OPENBCI Cyton board. The algorithms for handling the EEG signals are implemented on a software speciﬁc for BCI, that is freely distributed to the public. The results are presented in blocks, based on the accuracy obtained for each scenario.
Nanopore sequence-based genome assembly of the basmati rice

Basmati rice is an iconic cultivated Asian rice (Oryza sativa) variety group that is widespread in the Indian subcontinent. Despite its economic and cultural importance, a high-quality reference genome is currently lacking, and the group’s origins have not been fully resolved. To address these gaps we obtained 48x read coverage of a basmati genome using Oxford Nanopore Technologies’ long-read sequencing platform. We generated a 373.8-Mbp assembly, consisting of 2,245 contigs with an N50 contig length of ∼444.4 kbp. We polished this assembly with an additional 29× read coverage of Illumina short-reads, resulting in a high-quality genome with 98.7% gene completion. Evolutionary genomic analysis with other Asian rice genome assemblies indicated basmati rice was most closely related to the japonica rice group. But the basmati rice origins were complicated as conflicting phylogenetic signals were observed among basmati rice, japonica rice, and the progenitor wild rice O. rufipogon, caused by admixture between japonica rice and O. rufipogon. Admixture was also detected between the basmati and aus rice groups, consistent with previous a hypothesis suggesting a hybrid origin of the basmati rice group from japonica and aus rices. In addition, we detected basmati rice-specific domestication mutations, one of which was the deletion of a gene that regulates awn length, a deletion found only in the basmati rice group. Single molecule-based long-read sequencing is quickly becoming essential for the de novo generation of high-quality plant genome assemblies, and we show that this technology will be particularly useful for studies of crop evolution and genetics. SIGNIFICANCE STATEMENT Single molecule-based long-read sequencing is a powerful method for assembling complex plant genomes. Here, using nanopore sequencing we have assembled the genome of the iconic basmati rice (Oryza sativa), resulting in an assembly of 373.8 Mbp in 2,245 contigs, with an N50 contig size of 444.4 kbp. Evolutionary genomic analysis of the genome suggests basmati rice has a hybrid origin from the japonica and aus rice groups.
A conservative approach to Aspergillus sinusitis

The aim of the case report was to present a new case of Aspergillus sinusitis with a conservative approach without apicoectomy. A twenty-two-year-old healthy female patient was presented. Unilaterally, the dense radiopacity of the maxillary sinus was detected in the dental examination. Radiopaque deposits within the right maxillary sinus, associated with the endodontically treated tooth #16 were monitored with the cone-beam computerized tomography taken as a diagnostic aid. Retreatment with surgery was planned. Following the chemomechanical preparation, orthograde calcium silicate cement (OrthoMTA, BioMTA Co., Seoul, Korea) was grafted into root canals prior to the surgery. The pathologic tissue adjacent to palatal root apices of tooth #16 located in the inferolateral wall of the right maxillary sinus floor was reached in Cadwell-Luc operation. The pathologic tissue was excised and root apices were not resected. Microscopically examination of the material revealed hyphae structures compatible with Aspergillus and furthermore, Aspergillus spp. was grown in microbiological culture. The definitive diagnosis was made as maxillary sinus aspergilloma according to the existing clinical, radiological and microbiological findings. No systemic antifungal treatment was performed in the postoperative period. The tooth has been followed up to 2 years. The asymptomatic clinical condition was maintained and radiographic healing was observed.
Improving the Contractor-subcontractor Relationship Through Partnering on Construction Projects in Zambia

Received: Mar 14, 2019 Revised: Sep 24, 2019 Accepted: Dec 09, 2019 With the increased dependence on subcontracting in the construction industry, the operational relationship between main contractors and subcontractor plays an imperative role in successful project delivery. Consequently, improving this relationship increases the probability of project success and enhancing project performance. A wide range of research has confirmed that partnering improves the main contractor-subcontractor relationship. Though the positive impact of partnering on project performance is supported by a plethora of evidence, the guiding theory on practical partnering process steps is limited. The study aimed at improving subcontracting in the construction industry through a partnering process relevant to Zambia guided by factors obtained from industry expects. Questionnaire surveys and Semi-structured interview were adopted to investigate the perception of construction industry professionals and academics towards the main contractorsubcontractor relationship along with improvement factors. The findings showed that the relationship between main contractors and subcontractors on most projects in Zambia is unsatisfactory therefore justifying attention. Top factors that can enhance the main contractor-subcontractor relationship were identified. From the factors deduced and guidelines on partnering best practices, a project partnering model was developed.
Testing a complex training task

Figure 1 shows a learning theory based on reviewing multiple learning theories (Kim, Ritter, & Koubek, 2013). This figure shows that learning (curve 1) follows a power law as the learner goes through a declarative stage, a mixed stage, and a procedural knowledge stage. Retention follows three different curves as well. Retention in the declarative stage (curve 2) falls off fairly rapidly. Retention in the mixed stage (curve 3) falls off less rapidly, and in the procedural stage retention falls off (curve 4) much more slowly. These curves differ because of the three (or two) types of knowledge decay at different rates, with procedural knowledge most robust against decay. These curves have been matched by an ACT-R model of a complex spreadsheet task (Ritter, Tehranchi, & Oury, 2019).
O MALABARISMO DA (IN)FELICIDADE: UM ESTUDO SOBRE O CENÁRIO DA HIPERMODERNIDADE FEMININA COM CONTRIBUIÇÕES DA PSICOLOGIA POSITIVA / THE JUGGLING OF (IN)HAPPINESS: A STUDY ON THE SCENARIO OF FEMALE HYPERMODERNITY WITH CONTRIBUTIONS FROM POSITIVE PSYCHOLOGY

nos aventuramos as principais questões mulheres. qualitativo bibliográfica. ABSTRACT The objective of this study is to understand how the influence of Positive Psychology with its interventions can contribute to increase the general level of happiness of people, especially women, considering the scenario of hypermodernity in which they are inserted. Faced with this context, we venture in this research to present the main issues faced by women. To support the material, a qualitative study of a bibliographic nature was carried out.
Stabilité gastro-intestinale, activité antimicrobienne et impact sur le microbiote colique de la microcine J25 : approches métagénomiques et métabolomiques

v Table des matières. vii Liste des tableaux . xi Liste des figures . xiii Remerciements . xxiii Avant-propos . xxv Introduction générale . 1 Chapitre 1. Revue de littérature . 4 1.1. Production porcine au Canada . 5 1.2. Appareil digestif et microbiote intestinal du porc . 5 1.3. Usage des antibiotiques en production porcine . 8 1.4. Alternatives aux antibiotiques . 11 1.4. 1. Les probiotiques . 11 1.4. 2. Les prébiotiques . 13 1.4. 3. Les enzymes . 13 1.4. 4. Les huiles essentielles . 13 1.4. 5. Les bactériocines . 14 1.5. 5.1. Définition . 14 1.4. 5.2. Applications . 16 1.4. 5.3. Classification . 17 1.4. 5.4. Exemple de bactériocine de bactérie à Gram négatif : la microcine J25 . 19 1.4. 5.4. 1. Biosynthèse et maturation de la MccJ25 . 19 1.4. 5.4. 2. Structure de la MccJ25 . 23 1.4. 5.4. 3. Mécanisme d’action de la MccJ25 . 25 1.5. Travaux antérieurs et problématique . 27 1.6. Hypothèse et objectifs . 28 1.6. 1. Hypothèse de recherche . 28 1.6. 2. Objectif général . 28 1.6. 3. Objectifs spécifiques . 28 Chapitre 2. Fate and biological activity of the antimicrobial lasso peptide microcin J25 under gastrointestinal tract conditions . 29
AlphaGo Policy Network: A DCNN Accelerator on FPGA

The game of GO has long been regarded as the most challenging game for artificial intelligence because of its enormous search space and the difficulty of evaluating its board positions. In early 2016, the defeat of Lee Sedol by AlphaGo became the milestone of artificial intelligence. AlphaGo’s success lies in that it efficiently combines policy and value networks with Monte Carlo tree search (MCTS). And these deep convolutional neural networks (DCNNs) are trained by the combination of supervised learning and reinforcement learning. However, large convolution operations are computationally-intensive and typically require a powerful computing platform, for example, a graphics processing unit (GPU). Therefore, it is challenging to apply DCCNs in resource-limited embedded systems. Field programmable gate array (FPGA) is proposed to be an appropriate solution to implement real-time DCCNs models. However, the limited bandwidth and on-chip memory storage are the bottlenecks for DCCNs acceleration. In this article, an AlphaGo Policy Network is designed, and efficient hardware architectures are proposed to accelerate the DCCN model. The accelerator can be fit into different FPGAs, providing the balancing between processing speed and hardware resources. As an example, the AlphaGo Policy Network is implemented on Xilinx design suite VCU118, and the results show that our implementation achieved a performance of 3036.32 GOPS and achieved up to 56x speedup compared to CPU and 22.4x speedup compared to GPU.
Network Security and Internet of Things

Information security is the most critical component of the information system. It is also a challenge of the organizations to build a secure network. Every organization that developed its organizational network has faced security attacks, security risks, and vulnerabilities. Internet of things (IoT) is based on smart devices that connect with each other to formulate a complex network. Therefore, in order to build a secure traditional network and IoT network, understanding the basics of the network layers, network security, and different types of network attacks is essential for network security beginners who are interested in working in the field of information security. In this chapter, the authors reviewed the essential and most important concepts of information security, IoT, and explained these topics in an easy-to-understand way. Furthermore, the chapter discussed the basic level of information security challenges to familiarize the undergraduates and postgraduate students and IoT information security practitioners about it.
Architectural Perspective in Italian paintings of the 14th century

This paper discusses the system of the pictorial depth representation, typical for Giotto and other Italian artists of 14th century. Differing from the linear perspective, this system has a number of peculiar features, and its own consistent logic for the formation of pictorial space. The paper is especially focused on the contradictions of such a system, which lead to the appearance of impossible figures, and the ways in which the artists solved these difficulties.
Susceptibility to Early Atherosclerosis in Male Mice Is Mediated by Estrogen Receptor α

Objective— Vascular tissues express 2 types of estrogen receptors (ERs): ERα and ERβ. Their role in early atherosclerosis remains poorly understood, particularly in males. We developed and characterized an atherosclerosis model in ERα knockout male mice to investigate directly its role in atheroma. Methods and Results— Cholesterol-fed ERα knockout and wild-type mice developed early atheroma characterized by fatty streaks and foam cells. ERα wild-type mice developed 3.8-fold greater lesion area, more advanced lesions, more extensive lesion distribution, twice the number of lesions, and at a 2.2-fold faster rate than ERα knockout mice. Lesion development and atheroma susceptibility in ERα wild-type and knockout mice were independent of serum cholesterol, triglycerides, high-density lipoproteins, 17β-estradiol, and testosterone levels. In contrast, castration eliminated the predilection of ERα wild-type mice for atheroma, suggesting that testosterone mediates ERα-dependent atheroma formation in males. Conclu.
Upper Bound on Side Lobe Levels for mMIMO Antennas to Evaluate the Beam Steering Capability

A promising concept to meet the growing requirements of future wireless systems is the use of massive multiple-input-multiple-output (mMIMO) systems. Specifically, in an attempt to mitigate the high cost due to the complexity of these systems, sub-array based antenna architectures are highly anticipated, where not every antenna element is independently controllable, but groups of elements are connected. Consequently, sharing the steering circuitry reduces degrees of freedom in the design of effective beam patterns. Due to this, sub-array based antenna systems suffer from severely increased side lobe levels (SLLs), which limit the steering capability of mMIMO systems. Therefore, it is difficult to establish a distinct general optimum tool for beam pattern design. In this letter, we explore theoretically a mechanism to describe SLLs due to beam steering in uniform sub-array based mMIMO systems, and describe an analytical upper bound on the SLL distance as a function of the steering angle. The derived expression can be used to evaluate the steering capabilities of sub-array based configuration.
Supporting Data-Driven Business Model Innovations - A structured Literature Review on Tools and Methods

Purpose: This paper synthesizes existing research on tools and methods that support data-driven business model innovation, and maps out relevant directions for future research. Design/methodology/approach: We have carried out a structured literature review and collected and analysed a respectable but not excessively large number of 33 publications, due to the comparatively emergent nature of the field. Findings: Current literature on supporting data-driven business model innovation differs in the types of contribution (taxonomies, patterns, visual tools, methods, IT tool and processes), the types of thinking supported (divergent and convergent) and the elements of the business models that are addressed by the research (value creation, value capturing and value proposition). Research limitations/implications: Our review highlights the following as relevant directions for future research. Firstly, most research focusses on supporting divergent thinking, i.e. ideation. However, convergent thinking, i.e. evaluating, prioritizing, and deciding, is also necessary. Secondly, the complete procedure of developing data-driven business models and also the development on chains of tools related to this have been under-investigated. Thirdly, scarcely any IT tools specifically support the development of data-driven business models. These avenues also highlight the necessity to integrate between research on specifics of data in business model innovation, on innovation management, information systems and business analytics. Originality/value: This paper is the first to synthesize the literature on how to identify and develop data-driven business models, and to map out (interdisciplinary) research directions for the community. Keywords: Business model innovation, data-driven business models, research agenda. Article classification: Literature review