Miracle-dz/UniFAR-FTUs huggingface dataset:
Batch Methods for Incremental Learning

Data is increasingly collected and processed in an online fashion, but existing large-scale machine learning systems are batch-oriented. Existing stream-oriented ML algorithms are often limited in application scope or present significantly stronger assumptions to the learning model. We present two techniques to automatically and generically adapt batch-oriented algorithms to the incremental setting, extend an existing large-scale system to support the algorithms, and demonstrate the effectiveness of these techniques on several classification workloads.
An Agglomerative Hierarchical Clustering with Association Rules for Discovering Climate Change Patterns

Ozone analysis is the process of identifying meaningful patterns that would facilitate the prediction of future trends. One of the common techniques that have been used for ozone analysis is the clustering technique. Clustering is one of the popular methods which contribute a significant knowledge for time series data mining by aggregating similar data in specific groups. However, identifying significant patterns regarding the ground-level ozone is quite a challenging task especially after applying the clustering task. This paper presents a pattern discovery for ground-level ozone using a proposed method known as an Agglomerative Hierarchical Clustering with Dynamic Time Warping (DTW) as a distance measure on which the patterns have been extracted using the Apriori Association Rules (AAR) algorithm. The experiment is conducted on a Malaysian Ozone dataset collected from Putrajaya for year 2006. The experiment result shows 20 pattern influences on high ozone with a high confident (1.00). However, it can be classified into four meaningful patterns; more high temperature with low nitrogen oxide, nitrogen oxide and nitrogen dioxide high, nitrogen oxide with carbon oxide high, and carbon oxide high. These patterns help in decision making to plan the amount of carbon oxide and nitrogen oxide to be reduced in order to avoid the high ozone surface.
Wage regulation in the private sector: moving further away from a 'solidaristic wage policy'?

Citation for published version (APA): Keune, M. , & Vandaele, K. (2013). Wage regulation in the private sector: moving further away from a 'solidaristic wage policy'? In J. Arrowsmith, & V. Pulignano (Eds.), The transformation of employment relations in Europe: institutions and outcomes in the age of globalisation (pp. 88-110). (Routledge research in employment relations; No. 31). New York [etc.]: Routledge.
Analysis of Open Source Operating System Evolution: A Perspective from Package Dependency Network Motif

Complexity of open source operating systems constantly increase on account of their widespread application. It is increasingly difficult to understand the collaboration between components in the system. Extant research of open source operating system evolution is mainly achieved by Lehman’s law, which is conducted by analyzing characteristics such as line of the source code. Networks, which are utilized to demonstrate relationships among entities, is an adequate model for exploring cooperation of units that form a software system. Software network has become a research hotspot in the field of software engineering, leading to a new viewpoint for us to estimate evolution of open source operating systems. Motif, a connected subgraph that occurs frequently in a network, is extensively used in other scientific research such as bioscience to detect evolutionary rules. Thus, this paper constructs software package dependency network of open source software operating systems and investigates their evolutionary discipline from the perspective of the motif. Results of our experiments, which took Ubuntu Kylin as a study example, indicate a stable evolution of motif change as well as discovering structural defect in that system.
Racism camouflaged as impostorism and the impact on Black STEM doctoral students

ABSTRACT Black doctoral students in engineering and computing fields experience racialized stress, as structural racism in STEM takes a toll on their sense of belonging and acceptance as intellectually competent in comparison to White and some Asian peers and faculty. Black doctoral students are often told by campus administrators that the source of this racialized stress is impostorism and it is curable. In this article, we employ phenomenological analysis to examine how 54 Black engineering and computing students experience racism marketed as impostor syndrome (syndrome meaning in their heads). Results show that 51 of our study participants understood their experiences as both impostorism and racism, as some realized that racism created the conditions for being racially positioned as an impostor. We problematize impostorism peddled by campus administrators as a cover for racism, once again placing onus on students and claiming they have irrational but curable behaviors, while institutional and individual racism in STEM runs rampant by design.
The influence of Russia's 2010/2011 wheat export ban on spatial market integration and transaction costs of grain markets

Strong harvest shortfall and high world market prices prompted the Russian government to implement a wheat export ban in 2010 aiming to dampen domestic wheat prices. Building on regional price and trade data of Russia's wheat producing regions, we find strengthened domestic wheat market integration during the export ban period. Market integration decreased to its pre-ban level in the post-ban period; however, higher transaction costs resulting from increased risk of domestic grain trade during the export ban continued to prevail. Although market integration was temporarily strengthened, the export ban generally hampers market development in the long run. L C L A S S I F C T Q02; Q11; Q18
On the Design of IoT Security: Analysis of Software Vulnerabilities for Smart Grids

The 5G communication network will underpin a vast number of new and emerging services, paving the way for unprecedented performance and capabilities in mobile networks. In this setting, the Internet of Things (IoT) will proliferate, and IoT devices will be included in many 5G application contexts, including the Smart Grid. Even though 5G technology has been designed by taking security into account, design provisions may be undermined by software-rooted vulnerabilities in IoT devices that allow threat actors to compromise the devices, demote confidentiality, integrity and availability, and even pose risks for the operation of the power grid critical infrastructures. In this paper, we assess the current state of the vulnerabilities in IoT software utilized in smart grid applications from a source code point of view. To that end, we identified and analyzed open-source software that is used in the power grid and the IoT domain that varies in characteristics and functionality, ranging from operating systems to communication protocols, allowing us to obtain a more complete view of the vulnerability landscape. The results of this study can be used in the domain of software development, to enhance the security of produced software, as well as in the domain of automated software testing, targeting improvements to vulnerability detection mechanisms, especially with a focus on the reduction of false positives.
Accurate and Fast Frequency Tracking for Power System Signals Spark

This paper presents a new approach for accurate metering and fast tracking of power system frequency by combining a zero-crossing method and a three-point method. The accuracy of the classical zero-crossing method is improved by using cubic interpolation in a simplified way. The three-point method is designed to supplement the zero-crossing method for high tracking speed as it uses only a few sample values to derive the frequency. The proposed method is simple, accurate and fast for non-stationary signals or contaminated signals. The performance of this new approach is demonstrated by simulation results.
Fulani-Dogon Killings in Mali: Farmer-Herder Conflicts as Insurgency and Counterinsurgency

ABSTRACT Violent clashes between Fulani and Dogon have recently escalated in the Seeno plains in central Mali. After failing to defeat a “jihadist” insurgency dominated by Fulani, the Malian army has sponsored and trained a Dogon militia, which has systematically attacked Fulani villages, and again caused counterattacks. In addition, internal conflicts within Fulani and Dogon society have emerged. This demonstrates the complexities of the current crisis in Mali and how simplistic narratives about its causes are unhelpful. It also shows how views of the enemy as “terrorists” or “jihadists” are dangerous and able to further fuel violent conflicts.
State-ofthe-art Algorithms for Complete 3 D Model Reconstruction

The task of generating fast and accurate 3D models of a scene has applications in various computer vision fields, including robotics, virtual and augmented reality, and entertainment. So far, the computer vision scientific community has provided innovative reconstruction algorithms that exploit variant types of equipment. In this paper a survey of the recent methods that are able to generate complete and dense 3D models is given. The algorithms are classified into categories according to the equipment used to acquire the processed data.
Genetic Diagnosis in Sudden Cardiac Death: The Crucial Role of Multidisciplinary Care

Sudden death, especially at a young age, may be caused by an underlying genetic cause. Hereditary conditions with an increased risk of sudden death at a young age include cardiomyopathies, arrhythmia syndromes, and hereditary thoracic aortic aneurysms and dissections. The identification of a genetic cause allows for genetic testing and cardiological surveillance in at-risk relatives. Three sudden death cases from our hospital illustrate the value of autopsy, genetic, and cardiological screening in relatives following a sudden death. On autopsy, histology consistent with hereditary cardiomyopathy is a reason for the referral of relatives. In addition, in the absence of an identifiable cause of death by autopsy in young sudden death patients, arrhythmia syndrome should be considered as a potential genetic cause.
Digital enabler and value integration: revealing the expansion engine of digital marketplace

ABSTRACT Recently, we have witnessed many startup companies across the world gain a new capability in expanding their scope of businesses in terms of area of coverage and diversity of products/services offered very quickly. This capability is achieved through a well-orchestrated collaboration in offering attractive values to customers. One common thing that startups apply to generate value is by integrating values offered by their collaborators with values generate through a digital enabler so that customers can easily access and enjoy the integrated values. Customers appreciate integrated values accessed through a digital enabler. In addition, they also enjoy a growing value option that giving them plenty of choices in one basket offered by a digital enabler. The objective of this paper is to introduce a business ecosystem framework that can be used to construct and explain any business ecosystem, especially digital marketplace business ecosystems and their core expansion strategies. This paper offers a new paradigm in viewing digital marketplace or digital platform through a tandem concept digital enabler and values integration.
Bio efficacy of Cinnamaldehyde from Cinnamomum verum essential oil against Culex quinquefasciatus (Diptera: Culicidae)

This research aims to study the efficacy of Cinnamomum verum (Cv) extracts for ovicidal, larvicidal, and repellent activities against Culex quinquefasciatus mosquito vectors. The active components of C. verum or cinnamon oil by Gas Chromatography (GC) analysis showed the highest cinnamaldehyde at 83.53%. For ovicidal assay, C. verum essential oil at concentrations 12.5, 25 and 50 ppm at 72 h had 100% egg hatch inhibition and had a significant difference when compared to the control group (p<0.05). Larvicidal activity showed that concentrations of 25 and 50 ppm were highly effective in killing 100% mosquito larvae. Morphological changes in egg raft showed a faded color and eggs that seemed to have split from their raft while the larvae changed to a pale white wrinkled body with a destroyed inner tube of the body and were motionless. A Scanning electron microscope study showed that the eggshell and micropyle were wrinkled with the chitin peeled out. After treatment with cinnamon oil, larvae appeared to have a wrinkled body, the thorax and abdominal cuticle were also destroyed with high density of oil particles observed on mouth brushes and obstructing the spiracle. The repellent assay showed that cinnamon oil could repel both male and female mosquitos for up to 180 min. From the results, it was concluded that cinnamon oil had highly effective repellency against Culex quinquefasciatus adults and insecticidal activity on eggs and larvae stages evidenced by LC50 at 6.59±0.54, 9.07±0.67 and 36.91±7.56 ppm and its morphological changes indicated how the mosquito could not survive after cinnamon oil treatment hence this may be a useful alternative method that is green friendly for controlling mosquitoes in endemic areas.
Low-field Nuclear Magnetic Resonance Relaxation Properties and Principal Component Analysis of Gelatin-Sucrose/Sodium Chloride Systems

The effects of sucrose and sodium chloride(Na Cl) solutions at different concentrations on the low-field nuclear magnetic resonance(LF-NMR) relaxation properties of gelatin gel system were studied. Principal component analysis(PCA) was used to analyze the correlation of relaxation properties of gelatin gel system with gel strength. The results for the gelatin-sucrose gel system indicate that the relaxation time of bound water(T21) was prolonged, while that of free water(T22) was reduced, with increasing concentration of sucrose. Additionally, mono-component relaxation time(T2w) was shortened, while proportions of bound water(S21%) and free water(S22%) were increased and reduced, respectively. The results for gelatin-Na Cl gel system show that with increase in Na Cl concentration, the T21, T22, and T2 w were relatively prolonged, while S21% and S22% were similarly increased and reduced, respectively. The two gel systems and their corresponding solvents could be distinctly distinguished from each other on the principal component(PC) score plot, and the gel strength of gelatin-sucrose/Na Cl gel systems showed good correlation with the LF-NMR-PCA comprehensive score. The results of this study indicate that LF-NMR technique effectively reflects changes in the state of water and its corresponding proportion in gelatin-sucrose/Na Cl gel systems, while also reflecting changes in gel strength. This may have applications in gelatin-based food production and processing.
Semi-automated tracking of iceberg B43 using Sentinel-1 SAR images via Google Earth Engine

Abstract. Sentinel-1 C-band synthetic aperture radar (SAR) images can be used to observe the drift of icebergs over the Southern Ocean with around 1–3 days of temporal resolution and 10–40 m of spatial resolution. The Google Earth Engine (GEE) cloud-based platform allows processing of a large quantity of Sentinel-1 images, saving time and computational resources. In this study, we process Sentinel-1 data via GEE to detect and track the drift of iceberg B43 during its lifespan of 3 years (2017–2020) in the Southern Ocean. First, to detect all candidate icebergs in Sentinel-1 images, we employ an object-based image segmentation (simple non-iterative clustering – SNIC) and a traditional backscatter threshold method. Next, we automatically choose and trace the location of the target iceberg by comparing the centroid distance histograms (CDHs) of all detected icebergs in subsequent days with the CDH of the reference target iceberg. Using this approach, we successfully track the iceberg B43 from the Amundsen Sea to the Ross Sea, and examine its changes in area, speed, and direction. Three periods with sudden losses of area (i.e. split-offs) coincide with periods of low sea ice concentration, warm air temperature, and high waves. This implies that these variables may be related to mechanisms causing the split-off of the iceberg. Since the iceberg is generally surrounded by compacted sea ice, its drift correlates in part with sea ice motion and wind velocity. Given that the bulk of the iceberg is under water (~30–60 m freeboard and ~150–400 m thickness), its motion is predominantly driven by the westward-flowing Antarctic Coastal Current (ACoC) which dominates the circulation of the region. Considering the complexity of modeling icebergs, there is a demand for a large iceberg database to better understand the behavior of icebergs and their interactions with surrounding environments. The GEE-based semi-automated iceberg tracking method presented here can be used for this purpose.
BPM and ECM: Similarities, differences, conceptual, and technological limits

Enterprise information architectures still do not deliver all the value that comes from integrating structured and unstructured information. Enterprise Content Management and Business Process Management were developed as autonomous disciplines. Thus, Enterprise Content Management still occurs without formally considering the business processes that generate and manipulate content, while Business Process Management initiatives arise without a documented treatment of materials produced by the processes. The non-integrated approach to these disciplines collaborates to reduce the potential benefits expected in Organizational Change Management programs. In such context, the article discusses the interrelation between Business Process Management and Enterprise Content Management, approaching from a historical view of these disciplines, their conceptual limits, technological support, and dialogues that would benefit both initiatives. The paper contributes to clarify a question still vague in the field of Information Management, which is how to integrate Business Process Management and Enterprise Content Management treating structured and unstructured information in a unified manner. It discusses how to approach this issue in a broad scope of IM by combining the concepts of Enterprise Content Management and Business Process Management. Based on a literature review, the paper analyzes and synthesizes experiences in Enterprise Content Management and Business Process Management acquired in the context of a project carried out in a Power Sector Company. The article reveals problems in separating approaches to Enterprise Content Management and Business Process Management. It shows the importance of an effort for integration and presents three instruments that promote the linkage of the two initiatives, approximating process offices and analysts’ information.
An Exploration of Egyptian Facebook Users’ Perceptions and Behavior of COVID-19 Misinformation

ABSTRACT Social media platforms have become an essential source of information for many users. The purpose of the current study is to explore Egyptian social media users’ perceptions and behavior in the context of COVID-19 misinformation. The study was conducted in two stages; the first included identifying and categorizing misinformation shared in the Arabic language on Egyptian social media pages, and the second stage involved distributing a questionnaire to capture the users’ perceptions and behavior. The study utilized a mixed-methods approach to achieve the research objectives. In all, 1304 questionnaires were retrieved. The findings of the study showed that there are four main types of misinformation shared on social media. The first type is false claims about the virus or treatment of the virus; the second is false information about the government; the third is false content in general or manipulated content, and the last type is conspiracy theories. The findings also revealed that gender and education affect how people deal with and accept misinformation. Additionally, it was found that the spread of COVID-19 misinformation has caused negative feelings among the participants. The study was conducted on a sample of Egyptian participants and Egyptian social media pages on Facebook, hence, the types of misinformation and the results may differ in other countries, depending on the social media platform and other factors that may play a role in the spread of misinformation.
A Study of the Design of Emotional Points in Speech Drafts Writing

Speech and speech drafts writing complement each other. In the article, the relationship between the speech and the speaker is not rigidly separated, and the effective interaction between the two can make the emotional points burst out. In Taibo of Analects of Confucius, Confucius also put forward the idea of “having a tone of speech, thinking far and disdaining faith”, warning people that they should pay attention to their tone and wording in writing, speaking and life, so as to make people be willing to accept it as much as possible, which is also the key to the “thrilling point”.
Integral Models Based on Volterra Equations with Prehistory and Their Applications in Energy

The paper addresses the application of Volterra integral equations of the first kind for modeling dynamic power systems. We study the problem of forecasting the commissioning of capacities of the electric power system, taking into account various hypotheses about the dynamics of equipment aging, and the known prehistory. The numerical results of the application of two models to the problem of the development of a large electric power system using the example of the Unified Energy System of Russia are presented. Theoretical results were formulated for a two-dimensional Volterra integral equation of the first kind with variable limits of integration. This class of equations arises when solving the actual problem of identifying variable characteristics of a nonlinear dynamic system of the “input-output” type.
Comparative study of the effect of sliver and selenium nanoparticles on bacterial and viral hepatic infection via modulating oxidative stress and DNA fragmentation

Background: Nanoparticles are recently playing a potential role in improving drug uptake and the and treatment of diseases. A variety of nanoparticles, such as selenium nanoparticles (SeNPs) and Silver nanoparticles (AgNPs) have been used as drug carriers in various ways for treatment of cancers and liver diseases. Our aim in this study is to investigate the ability of AgNPs and SeNPs to target and treat the viral and bacterial infection of liver in rats and cell lines.Methods: For assessment of antioxidant activity of silver nanoparticles, six adult male albino rats were included in this study, liver slices were taken and assigned to 6 groups. Markers of hepatic functions, oxidative stress and inflammation in liver slices are carried out. While for assessment of antiviral activity of SeNPs, HBV-replicating human cell line HepG2 and normal human cell lines were used, hepatic and inflammatory alterations are determined through quantitative polymerase chain reaction (PCR) and comet assay techniques.Results: The effect of Ag-NPs on interleukin-6 (IL-6) and tumor necrosis factor (TNF-α) levels were reduced in different treated groups with Ag-NPs compared with the control and diseased groups. On the other hand, SeNPs revealed significant alterations in the inflammatory markers as well as DNA damage in the treated HBV- human cell line HepG2 compared to the diseased ones.Conclusion: Silver nanoparticles have the ability for producing various hepatic alterations and can inhibit the proliferation of hepatic stellate cells (HSCs) in a dose and size dependent manner. On the other hand, SeNPs showed excellent selectivity towards viral cells in the HepG2 cell lines. Both Ag-NPs and SeNPs might be a promising drug design for treating viral and bacterial liver diseases.