Miracle-dz/UniFAR-FTUs huggingface dataset:
Anomaly detection in multidimensional time series—a graph-based approach

As the digital transformation is taking place, more and more data is being generated and collected. To generate meaningful information and knowledge researchers use various data mining techniques. In addition to classification, clustering, and forecasting, outlier or anomaly detection is one of the most important research areas in time series analysis. In this paper we present a method for detecting anomalies in multidimensional time series using a graph-based algorithm. We transform time series data to graphs prior to calculating the outlier since it offers a wide range of graph-based methods for anomaly detection. Furthermore the dynamic of the data is taken into consideration by implementing a window of a certain size that leads to multiple graphs in different time frames. We use feature extraction and aggregation to finally compare distance measures of two time-dependent graphs. The effectiveness of our algorithm is demonstrated on the numenta anomaly benchmark with various anomaly types as well as the KPI-anomaly-detection data set of 2018 AIOps competition.
The spark in the engine : creative workers in a global economy

The global economy has an insatiable need for creative workers - to develop new products and services in a speeded-up hyper-competitive environment; to provide content for the exponentially growing mass media; to manage; and yet educate inform and pacify the expanding population. Yet creative workers themselves are subject to new forms of control and expropriation and many understand only too well the nature of the system they work under. What sort consciousness are they developing? Will they rebel? Is there an endless supply of geese to keep laying the golden eggs or might some decide to fly the coop and imagine how to create a better world?
Is Amyloid Burden Measured by 18F-Flutemetamol PET Associated with Progression in Clinical Alzheimer’s Disease?

Background: Patients with Alzheimer’s disease (AD) show heterogeneity in clinical progression rate, and we have limited tools to predict prognosis. Amyloid burden from 18F-Flutemetamol positron emission tomography (PET), as measured by standardized uptake value ratios (SUVR), might provide prognostic information. Objective: We investigate whether 18F-Flutemetamol PET composite or regional SUVRs are associated with trajectories of clinical progression. Methods: This observational longitudinal study included 94 patients with clinical AD. PET images were semi-quantified with normalization to pons. Group-based trajectory modeling was applied to identify trajectory groups according to change in the Clinical Dementia Rating Scale Sum of Boxes (CDR-SB) over time. Multinomial logistic regression models assessed the association of SUVRs with trajectory group membership. Results: Three trajectory groups were identified. In the regression models, neither composite nor regional SUVRs were associated with trajectory group membership. Conclusion: There were no associations between CDR progression and 18F-Flutemetamol PET-derived composite SUVRs or regional SUVRs in clinical AD.
Label ranking‐based recommendation system to rank crops for agroecological units

Data mining and machine learning techniques help to predict suitable crops in ranking order for a given location with its soil nutrient status. We proposed a tuned bagging‐based K‐nearest neighbor ensemble label ranker and it is used to predict the ranked crops for density‐based spatial clustering of applications with noise (DBSCAN) based compressed crop‐ranked agricultural data. This ensemble integrates the commonly used Borda rank aggregation method, but there is a possibility to improve the performance of our proposed algorithm by selecting the most suitable rank aggregation based on the improvement in the label ranked dataset. The results of the study show that Copeland performed better than Borda aggregation with a 6.65% improvement in the performance of our algorithm, while it is 5.16% for Borda. The voting rule selection (VRS) is also integrated into our study with dataset‐level and instance‐level learning on crop‐ranked datasets. VRS and Copeland aggregation methods shared the first rank position with 46.14% and 45.67% improvement in the ranked datasets. The instance‐level winning percentage of crop ranked data for VRS, Copeland, and Borda is 61.44%, 56.23%, and 47.81%, respectively. This study has observed that in the case of a tuned K‐nearest neighbor label ranking algorithm, the VRS and Copeland voting rule performs better than Borda.
TR-SEQ: Named Entity Recognition Dataset for Turkish Search Engine Queries

Recognizing named entities in short search engine queries is a difficult task due to their weaker contextual information compared to long sentences. Standard named entity recognition (NER) systems that are trained on grammatically correct and long sentences fail to perform well on such queries. In this study, we share our efforts towards creating a cleaned and labeled dataset of real Turkish search engine queries (TR-SEQ) and introduce an extended label set to satisfy the search engine needs. A NER system is trained by applying the state-of-the-art deep learning method BERT to the collected data and its high performance on search engine queries is reported. Moreover, we compare our results with the state-of-the-art Turkish NER systems.
Implications on applying the Web 2.0 software to teach a Chinese L2 learner online

The rise of information and communication technologies has increased people’s access to educational resources and stormed the process of E-learners in the past decades. Recently, the COVID-19 pandemic forced more people to stay at home to do things via online. Of course, education is no exception. While numerous distance Chinese learning tools or websites are booming, not all these tools or websites are suitable because of E-learners’ variations in Chinese language proficiency, computer literacy, or the complexity of the tools. Hence, being able to choose effective Chinese E-learning tools for Chinese learners is crucial for Teachers of Chinese to Speakers for Other Languages (TCSOL) as it affects not only learners’motivation and overall success as well as teachers’ teaching pedagogy and performance. The present study analyzed a series of user-friendly, freeWeb2.0 digital toolsfor distance Chinese learners to study along with a textbook, Practical Audio-Visual Chinese 2, designed and carried out experimental teaching courses for Japanese participants with elementary Chinese proficiency. Lastly, it concluded with ST2D implications for TCSOL based the feedback from users.
Handbook of management consulting services

Written by more than twenty experts in management consulting, the Handbook of Management Consulting Services shares the technical knowledge, administrative skills, business acumen, and hands-on perspective needed to set up and run a cost-effective, client-oriented practice that's right for today's business environment. Provided here from the actual files of leading consultants are checklists, work plans, and practice aids.
La regla de precedente

contingentes Abstract This paper explains the main features of the rule of precedent (RP). The RP –in lato sensu– is the rule that defines the legal operation of judicial precedents (PJ). order contains a contingent RP in stricto sensu to define the conditions of binding and mandatory PJ. About this matter, the RP carries out three principal functions: 1) to establish the conditions to identify PJ; 2) to fix the legal powers for create, overrule and apply the PJ, and 3) to define the way in which the PJ commands actions and the consequences of non-compliance. Based on distinction between binding and obligation, it is highlighted that sanctions are the contingent consequences of disobey RP and that nullity (or invalidity) is the necessary consequence of the non-compliance of the binding conditions defined by the RP.
Plants of the Genus Heracleum as a Source of Coumarin and Furanocoumarin

Heracleum is one of the greatest genera of the Umbelliferae family that has more than 120 species. This genus is represented by 109 species in Asia. Common names for the genus or its species include hogweed and cow parsnip. This paper discusses the phytochemistry, ethnopharmacological use and pharmaceutics of Heracleum species. Many kinds of metabolites have been isolated and identified, that furanocoumarins are among the significant ones. Modern pharmacological studies demonstrated that Heracleum and its active compounds have extensive biological activity, particularly in anticonvulsant, anti-inflammatory, antifungal, anticancer, anti-psoriatric, anti-vitiligo and antioxidant activities. In clinical test, Heracleum has successfully been utilized to treat psoriasis, vitiligo, carminative, stomachs, pain killer and anticonvulsant.
Transformation of Tetracycline by Manganese Peroxidase from Phanerochaete chrysosporium

The negative impacts on the ecosystem of antibiotic residues in the environment have become a global concern. However, little is known about the transformation mechanism of antibiotics by manganese peroxidase (MnP) from microorganisms. This work investigated the transformation characteristics, the antibacterial activity of byproducts, and the degradation mechanism of tetracycline (TC) by purified MnP from Phanerochaete chrysosporium. The results show that nitrogen-limited and high level of Mn2+ medium could obtain favorable MnP activity and inhibit the expression of lignin peroxidase by Phanerochaete chrysosporium. The purified MnP could transform 80% tetracycline in 3 h, and the threshold of reaction activator (H2O2) was about 0.045 mmol L−1. After the 3rd cyclic run, the transformation rate was almost identical at the low initial concentration of TC (77.05–88.47%), while it decreased when the initial concentration was higher (49.36–60.00%). The antimicrobial potency of the TC transformation products by MnP decreased throughout reaction time. We identified seven possible degradation products and then proposed a potential TC transformation pathway, which included demethylation, oxidation of the dimethyl amino, decarbonylation, hydroxylation, and oxidative dehydrogenation. These findings provide a novel comprehension of the role of MnP on the fate of antibiotics in nature and may develop a potential technology for tetracycline removal.
Effect of seawater constituents on the performance of thermal spray aluminum in marine environments

Thermally sprayed coatings are often used to mitigate corrosion of offshore structures. They act as a physical barrier to the aggressive marine environment and as a sacrificial distributed anode for low carbon steel. In such environments, the severity of material degradation depends on many factors. The effect of temperature, exposure time or the presence of micro‐organisms are the focus of many studies, for example, however, the effect of the different ions present in seawater remains largely unexplored. The chemical composition of the water changes considerably depending on the location; industrial, glacial, estuarine, and so forth. In addition, when thermal spray aluminum (TSA) protects steel in seawater, calcareous matter precipitates as a result of the cathodic polarization and subsequent localized increase in pH. Therefore, understanding how ions such as magnesium (II), calcium (II), or carbonates alter the coating properties in the marine environment is important. This paper reports the experimental work carried out with TSA‐coated steel samples with defects to simulate mechanical damage or erosion of the coating. The combination of electrochemical tests and surface characterization provided evidence of the efficiency of the calcareous bilayer that forms on top of steel reducing the TSA degradation.
Spatial Distribution of RTA Frequencies Along Kaduna-Zaria Expressway, Nigeria

This paper evaluates the spatial spread of road along the study route for the period of 2007-2010 with a view to bring to lime light the environmental factors of road transport accidents in the study area. Also, the entire study route has been segmented into three; Kaduna- Katabu (km18.41),Katabu- Jaji (km17.02) and Jaji-Zaria (Km38.51). Spatial data were generated from the field, satellite imagery and previously generated road accidents data from the Federal Road Safety Corps (FRSC) and Nigeria Police Force (NPF) along Kaduna–Zaria express way of Kaduna State. The results partly revealed that Rigachuku, National Teachers Institute (NTI), Tollgate and Maraban Jos (Katabu) have recorded high frequency of Road Traffic Accidents (RTA) along Kaduna-Katabu especially in 2009 and 2010. To reduce these accidents to barest minimum, it is here, recommended that the degree of bends on Kaduna-Zaria expressway should be minimized through appropriate engineering designs by the Federal Ministry of Works. Keywords: Spatial Data, Segment, Crash, Significance difference, Menace of RTAs
Easy Task and Choice: Motivational Interventions Facilitate Motor Skill Learning in Children

Expectancies for success and autonomy support have been shown to facilitate motor learning and enhance motor performance. The purpose of the study was to examine whether we replicated (a) enhanced expectancies and autonomy support intervention enhanced motor skill learning in children, and (b) identified the underlying psychological mechanism. Sixty children kicked soccer balls with their dominant leg to a squared area target. Participants were randomly assigned to one of the four groups: enhanced expectancies and autonomy support (EE/AS), enhanced expectancies (EE), autonomy support (AS), or control (CON) groups. Participants learning the skill were or were not provided enhanced expectation instructions by making the task success easier and provided an opportunity to choose one of the three colored balls during their practice. Two days later, they performed retention and transfer tests. Results indicated that the EE/AS group had the highest scores, with main effects of autonomy support being significant and enhanced expectancies being marginally significant for the retention test and significant for the transfer test. The EE/AS group had the highest self-efficacy and perceived choice scores. Therefore, having high expectancies for success and being autonomous were important ingredients for facilitating motor skill learning in children.
STABILITY AND MANEUVERABILITY PERFORMANCE OF DIFFERENT TYPES OF BICYCLES

The following report consists of two parts: a survey of earlier investigations concerning bicycles characterized by extreme handlebars and small wheel diameters and an experiment with 18 twelve-year-old boys in which six different bicycles were evaluated in regard to their maneuverability and stability performance in a series of ten tests. In the experiment the bicycles used were all currently available on the Swedish market. Three different models distinguished by differences in frame construction, wheel diameter, and wheelbase, and two different handlebar types, one standard and the other extreme in height, were used. The tests were performed at ten separate stations and were designed to measure skills similar to those required in actual traffic situations. The experiment was repeated once so that at its conclusion, eighteen subjects had ridden six bicycles at ten test stations twice, for a total of 2,160 trials. The results from the experiment showed that bicycles with extreme handlebars gave a worse maneuverability performance than bicycles with standard handlebars, affecting both the time expenditure and the number of errors which were committed. The modern rodeo bicycle caused approximately 50% more errors than either of the other bicycle models. The results were supported by interview data from the subjects and by analyses of bicycle accidents from other studies which indicated that bicycles with extreme handlebars were more dangerous than bicycles with standard handlebars in actual traffic situations.
Interactive radio instruction: twenty-three years of improving educational quality

The purpose of this technical note is to provide an overview of Interactive Radio Instruction (IRI) and elaborate some of the commonalities and research findings in an effort to explore what makes IRI and radio a useful technology that still address many educational concerns in developing countries today. For countries plagued with high hopes but small educational budgets, difficulties in training teachers, providing educational materials, maintaining quality and increasing access to meet the educational needs of a broad populace of learners, chosen strategies and technologies selected must be proven to be effective, reliable, and meet country needs. This note will show that IRI can meet these criteria.
Frontiers in Microbiology: Envisioning a Curriculum Unit for High School Biology

Microbiology is undergoing a quiet revolution. Techniques such as polymerase chain reaction, high throughput DNA sequencing, whole genome shotgun sequencing, DNA microarrays, and bioinformatics analyses are greatly aiding our understanding of the estimated one billion species of microbes that inhabit the Earth. Unfortunately, the rapid pace of research in microbiology stands in contrast to the much slower pace of change in educational reform. Biological Sciences Curriculum Study (BSCS) hosted a two-day planning meeting to discuss whether or not a new curriculum unit on microbiology is desirable for the high school audience. Attending the meeting were microbiologists, high school biology teachers, and science educators. The consensus of the participants was that an inquiry-based unit dealing with advances in microbiology should be developed for a high school biology audience. Participants established content priorities for the unit, discussed the unit's conceptual flow, brainstormed potential student activities, and discussed the role of educational technology for the unit. As a result of the planning meeting discussions, BSCS staff sought additional funding to develop, disseminate, and evaluate the Frontiers in Microbiology curriculum unit. This unit was intended to be developed as a replacement unit suitable for an introductory biology course. The unit would feature inquiry-based studentmore » activities and provide approximately four weeks of instruction. As appropriate, activities would make use of multimedia. The development and production processes would require about two years for completion. Unfortunately, BSCS staff was not able to attract sufficient funding to develop the proposed curriculum unit. Since there were some unexpended funds left over from the planning meeting, BSCS requested and received permission from DOE to use the balance of the funds to prepare background materials about advances in microbiology that would be useful to teachers. These materials were developed and placed on the BSCS Web site (http://www.bscs.org). « less
Total Quality: Management, Organization, and Strategy

Not long ago total quality was just a buzzword. Today, Total Quality is an integral component of management success in today's complex business environment. This text presents an overview of the key principles of total quality and links those concepts to traditional management practices and organizational models in management theory. This book has three objectives: 1) to familiarize readers with the basic principles and methods associated with total quality management; 2) to show readers how these principles and methods have been put into effect in a variety of organizations; and, 3) to illustrate the relationship between total quality principles and the theories and models studied in management courses.
An Introduction to Ultrasonic Motors

The ultrasonic motor, invented in 1980, utilizes the piezoelectric effect in the ultrasonic frequency range to provide the motive force. (In conventional electric motors the motive force is electromagnetic.) The result is a motor with unusually good low-speed high-torque and power-to-weight characteristics. It has already found applications in camera autofocus mechanisms, medical equipment subject to high magnetic fields, and motorized car accessories. Its applications will increase as designers become more familiar with its unique characteristics. This book is the result of a collaboration between the inventor and an expert in conventional electric motors: the result is an introduction to the general theory presented in a way that links it to conventional motor theory. It will be invaluable both to motor designers and to those who design with and use electric motors as an introduction to this important new invention.
A Social Recommendation Based on Metric Learning and Users' Co-Occurrence Pattern

For personalized recommender systems,matrix factorization and its variants have become mainstream in collaborative filtering.However,the dot product in matrix factorization does not satisfy the triangle inequality and therefore fails to capture fine-grained information. Metric learning-based models have been shown to be better at capturing fine-grained information than matrix factorization. Nevertheless,most of these models only focus on rating data and social information, which are not sufficient for dealing with the challenges of data sparsity. In this paper,we propose a metric learning-based social recommendation model called SRMC.SRMC exploits users' co-occurrence pattern to discover their potentially similar or dissimilar users with symmetric relationships and change their relative positions to achieve better recommendations.Experiments on three public datasets show that our model is more effective than the compared models.
Integrating Self-Report and Psychophysiological Measures in Waterpipe Tobacco Message Testing: A Novel Application of Multi-Attribute Decision Modeling

Background: Waterpipe (i.e., hookah) tobacco smoking (WTS) is one of the most prevalent types of smoking among young people, yet there is little public education communicating the risks of WTS to the population. Using self-report and psychophysiological measures, this study proposes an innovative message testing and data integration approach to choose optimal content for health communication messaging focusing on WTS. Methods: In a two-part study, we tested 12 WTS risk messages. Using crowdsourcing, participants (N = 713) rated WTS messages based on self-reported receptivity, engagement, attitudes, and negative emotions. In an in-lab study, participants (N = 120) viewed the 12 WTS risk messages while being monitored for heart rate and eye-tracking, and then completed a recognition task. Using a multi-attribute decision-making (MADM) model, we integrated data from these two methods with scenarios assigning different weights to the self-report and laboratory data to identify optimal messages. Results: We identified different optimal messages when differently weighting the importance of specific attributes or data collection method (self-report, laboratory). Across all scenarios, five messages consistently ranked in the top half: four addressed harms content, both alone and with themes regarding social use and flavors and one addiction alone message. Discussion: Results showed that the self-report and psychophysiological data did not always have the same ranking and differed based on weighting of the two methods. These findings highlight the need to formatively test messages using multiple methods and use an integrated approach when selecting content.