Miracle-dz/UniFAR-FTUs huggingface dataset:
Teaching Project Management on-line: lessons learned from MOOCs

Creating a course for teaching project management online in a full online distance-learning environment was a challenge. Working with adult learners from different continents that want to complete a Master degree was an additional challenge. This paper describes how different MOOCs were used to learn about teaching -(meta) e-learning. MOOCs provide diverse opportunities for teachers to learn and innovate in e-learning. From the analysis of 5 MOOCs in the broad field of project management we took important lessons on how to structure contents, how to prepare complex assignments and, the most important lesson of all, how to help students to learn. This paper describes our journey of learning from MOOCs how to be better online teachers.
Antimicrobial Producing Bacteria Isolated From Petroleum-Laced Hypersaline Soil

Given the alternative functions of “antibiotics” as communication molecules or participants in metabolism, it seems probable that production might be influenced by factors such as nutrient availability, interactions with neighboring microbes, and/or colony or community structure and maturity. With this in mind, the present study aimed to broaden the scope of the search for novel antibiotics by experimenting with the following parameters: source of bacterial isolation, growth and assay media, and culturing techniques. Bacteria for this study were isolated from two categories of soil (petroleum-contaminated or uncontaminated) to compare diversity and antimicrobial activity. Compared to the uncontaminated soil, isolates of the petroleum-contaminated soil were as diverse and antimicrobial activity was as frequent. Antimicrobial assays were done on three different types of agar, including the standard Mueller-Hinton and two types of medium typically used for fungal growth, Yeast Peptone Dextrose (YPD) and Yeast Mold (YM). Compared to results on Mueller-Hinton, much more antimicrobial activity was seen when using YPD and YM. Finally, spent media assays were performed with pure and mixed cultures to determine if exposure to a target pathogen affects the production of antimicrobial substances by soil isolates. Those bacteria with activity against Pseudomonas aeruginosa in perpendicular streak tests were grown as mixed cultures with P. aeruginosa. In the case of Bacillus amyloliquefaciens and Pseudomonas marginalis, discs impregnated with concentrated spent media from these mixed cultures resulted in significant dose-dependent inhibition of P. aeruginosa. The same assay using pure cultures showed no inhibition.
A radically data-driven Construction Grammar: Experiments with Dutch causative constructions

In this paper we propose a novel, radically data-driven approach to constructional semantics. It is based on Semantic Vector Space models, which are commonly used in computational linguistics to model the semantic relationships between words on the basis of their distribution in a large corpus. In a case study of the near-synonymous Dutch causative constructions with doen ‘do’ and laten ‘let’ we show this method in action by testing a variety of distributional models and clustering options applied to the constructional collexemes. The method opens new perspectives for generating hypotheses about constructional semantics, providing a quick estimation of large amounts of data. The paper also contributes to bridging the gap between the neostructuralist distributional approaches still predominant in computational linguistics, on the one hand, and the non-reductionist constructionist approaches to grammar, on the other hand. 1. The need for objective data-driven semantic classes Constructions are commonly defined as pairings of form and function (Goldberg 1995; Goldberg 2006). The meaning, understood here as the concept or conceptual structure associated with a construction, is a crucial aspect of the latter’s function. Although it is clear that the meaning of a construction cannot be reduced to the meaning of its components (e.g. Goldberg 1995), the semantic properties of its slot fillers can be used as a convenient heuristic to access the conventional uses of the construction in question. For instance, the central sense 1 This research project was partly funded by a grant from the Research Foundation of Flanders (FWO) (G.0330.08) awarded to Dirk Geeraerts and Dirk Speelman, the Quantitative Lexicology and Variational Linguistics Research Unit at the University of Leuven. Dr ft (c) Le vs hin a & He yle n
Reliability of IoT-Aware BPMN Healthcare Processes

BPMN (Business Process Model and Notation) has become the de-facto business process modelling language standard. Healthcare processes have been increasingly incorporating participants other than humans, including Internet of Things (IoT) physical devices such as biomedical sensors or patient electronic tags. Due to its critical requirements, IoT-aware healthcare processes justify the relevance of Quality of Services aspects, such as reliability, availability, and cost, among others. This chapter focuses on reliability and proposes to use the Stochastic Workflow Reduction (SWR) method to calculate the reliability of IoT-aware BPMN healthcare processes. In addition, the chapter proposes a BPMN language extension to provide processes with reliability information. This way, at design time, modellers can analyse alternatives and, at run time, reliability information can be used to select participants, execute services, or monitor process executions. The proposal is applied to an Ambient Assisted Living system use case, a rich example of an IoT-aware healthcare process.
Design of Gateway of Wireless Sensor Network in Coal Mine

With the spread and applications of wireless sensor network in the coal mine,the request is pointed out to connect wireless sensor network with Ethernet which is the trunk network under the mine. The gateway is one of the most important parts. By analyzing communication reality methods of wireless sensor network to Ethernet,the blue print of gateway based on high performance network controller and embedded real-time operating system is pointed out. The key techniques and methods on how to realize the gateway with embedded microprocessor S3C4510B and embedded real-time operating system VxWorks are expounded.
COMMUNICATIVE AND PROFICIENT DATA ENTRÉE MANAGE FOR MULTI RIGHTS CLOUD

Cipher text-Policy ABE (Clubpenguin-ABE) is resourcefully designed meant for access control concerning encrypted data. It's one among the primary appropriate technologies meant for controlling of understanding access within cloud storage systems, because it offers the data owner additional direct control above access policies. The revocable multi-authority CPABE can be a capable technique, which may be functional in almost any distant storage systems furthermore to online social systems. We submit a revocable plan of multiauthority Clubpenguin-ABE structure that may support capable attribute revocation. Our plan doesn't necessitate server to obtain completely reliable, since key update is enforced by every attribute authority not server. Even though the server isn't semi-reliable in a number of scenarios, our schemes could assurance backward security and additionally forecasted structure is well-organized and incurs less computation outlay, that's safe and accomplishes backward security furthermore to forward security. Within our novel attribute revocation method, only ciphertexts which are associated with revoked attribute must be modernized.
DomainKeys Identified Mail (DKIM)

DomainKeys Identified Mail (DKIM) defines a domain-level authentication framework for email using public-key cryptography and key server technology to permit verification of the source and contents of messages by either Mail Transfer Agents (MTAs) or Mail User Agents (MUAs). The ultimate goal of this framework is to permit a signing domain to assert responsibility for a message, thus proving and protecting message sender identity and the integrity of the messages they convey while retaining the functionality of Internet email as it is known today. Proof and protection of email identity, including repudiation and non-repudiation, may assist in the global control of "spam" and "phishing".
Selection Type Theories

Selection type theories solve adaptation problems. Natural selection, clonal selection for antibody production, and selective theories of higher brain function are examples. An abstract characterization of typical selection processes is generated by analyzing and extending previous work on the nature of natural selection. Once constructed, this abstraction provides a useful tool for analyzing the nature of other selection theories and may be of use in new instances of theory construction. This suggests the potential fruitfulness of research to find other theory types and construct their abstractions.
An IRST-Based Algorithm for Construction of Concept Lattices

Concept lattice is an important knowledge representation tool in knowledge engineering It is also the core of FCA Several algorithms are generated for computation of concept lattices An IRST based algorithm is introduced for construction of concept lattices by an extended IRST as data modal The algorithm constructs concept lattice by searching IRST and related determinant theorem The complexity of the algorithm is analyzed and some conclusions are arrived at
Hand Vein Recognition with Bag of SIFT Feature Model

SIFT, which is widely used for feature extraction in image recognition task especially when image rotation, translation, uneven illumination occur, has been applied in vein recognition task more widely. However, mismatching between intra-class and inter-class, which is unbearable for personal identification task, is unavoidable under the traditional ratio-based matching framework. To solve such problem, the paper proposes bag of SIFT feature (BOSF) model to realize SIFT feature based matching framework from the perspective of feature coding and classification. Finally, the proposed approach is rigorously evaluated on the self-built database and achieves the state-of-the-art EER (Equal Error Rate) of 0.026%, which demonstrates the effectiveness of the proposed model.
A New Method for Chinese New Word Identification Based on Inner Pattern of Word

As to new word identification problem,this paper proposes a new method for Chinese new word identification based on the inner pattern of word.After repeat finding based on suffix arrays and longest common preffix,it propses the weighting of the improved PWP and inside word probabilities in view of the inner pattern of word.At the meanwhile,the paper uses AV and MI statistics to identify Chinese new words.By comparison,find that this method is effective in recognition of Chinese new words.
Ln2(OH)4SO4·nH2O (Ln = Pr to Tb; n ∼ 2): A New Family of Layered Rare-Earth Hydroxides Rigidly Pillared by Sulfate Ions

A new family of layered rare-earth hydroxides rigidly pillared by sulfate ions has been synthesized through homogeneous precipitation of lanthanide sulfate salts driven by hydrolysis of hexamethylenetetramine. Obtained materials were composed of aggregated thin platelet microcrystallites. Chemical analysis indicates that these samples have a general chemical formula of Ln2(OH)4SO4·nH2O (Ln = Pr to Tb; n ∼ 2). The compounds are crystallized in an A-base-centered orthorhombic structure with unit cell dimensions of a ∼ 0.63 nm, b ∼ 1.6−1.7 nm, and c ∼ 0.37 nm. Fourier transform infrared (FT−IR) spectra indicate that sulfate ions are in a trans-bidentate arrangement, which suggests that sulfate ions bridge adjacent rare-earth hydroxide layers through direct coordination to lanthanide cations. The compounds showed two-step weight loss (200−275 °C and ∼350 °C) in the heating process, which can be ascribed to dehydration and dehydroxylation, respectively. Robust lanthanide−sulfate chelate bondings can be inherit.
A BIBLIOMETRIC STUDY OF SUPPLY CHAIN MANAGEMENT

Supply chain management (SCM) has developed more than three decades. However, very fewer studies explore knowledge dimension of SCM. The purpose of this study is to examine the knowledge dimension of SCM through Bibliometric method. Data was collected from J-Gate online database. In this context, this article aims to review scientific literature related to the supply chain management, published in the J-gate database. Using the term supply chain management and organisational performance, 69 articles were found since 2010-2014, but only 59 articles fulfil the selection criteria, being included in the analysis. The items investigated, by year of publication, were: study type, methodology, type of supply chain investigated, authorship pattern, country-wise distribution of articles. As the survey results, the year 2013 had the highest number of publications, 42% in total; the research method most often used was others while literature review was consider as the second most preferred method for the study. The contribution of this study is to provide core knowledge for both researchers and practitioners to understand the aspects of SCM.
YOU GOT QUESTIONS, WE GOT ANSWERS 2. Active Learning* Random Thoughts . . .

S ometimes at the end of a workshop, a participant suffering from information overload asks, " If I want to try just one thing you told us about, what should it be? " My answer is always active learning. For those who came in late, that means engaging students in course-related activities in class other than watching and listening to the instructor. They may be asked to answer a question, begin a problem solution or derivation or figure out the next step, explain a concept, interpret an observation, brainstorm a list, predict the outcome of an experiment, or any of a hundred other things. Reference 2 offers suggestions for implementing active learning and answers to frequently asked questions about it, including: Can I use active learning and still cover my syllabus? (Short answer: Yes.) Won't it take me a huge amount of time to plan all those activities? (Short answer: No.) What should I do about students who complain bitterly if I do anything but lecture? What should I do if some students refuse to participate? If you're not experienced with active learning, reading that short paper first will make this one—which answers different questions—more meaningful. The web address for it is in the bibliography; if you want to check it out I'll wait here for you. Otherwise, forge on. • What are the most persuasive arguments for instructors to try active learning? Active learning fully engages most students in a class instead of just the two or three who normally do all the talking; the class atmosphere is much livelier than the wax museum most traditional lectures resemble; and cognitive science and tons of classroom research have established that people learn far more through active practice and feedback than from simply watching and listening to lectures. • But don't they get practice and feedback in assign-ments? Sure, but preliminary in-class activities make assignments far more effective. For instance, in a traditional lecture you might outline a problem-solving method and give one or two examples. If you're a decent lecturer it might all seem clear to the students, and only later when they spend hour after frustrating hour on assignments do they discover that they didn't understand critical parts of it. In active learning, they are taught the method in small steps that they can practice and get immediate feedback on. Their chances of being able to integrate what they …
VR Game Interfaces for Interaction onto 3D Display

This paper describes the VR game interfaces for interaction onto 3D display. The challenge we are interested in is how to build and use a low cost 3D display that satisfies semi-immersive requirements and how to coordinate it with interactions into the immersive VR game environments. So, the objective of our display system is to produce a viewer-oriented, stereoscopic display; each of the user’s eyes should see an image correctly rendered from that eye’s position through the window of the displays. To accomplish this project, we concrete a projection-based multiple window rendering system on passive 3D stereo display, synchronization multi-channel system for wide field of view on different PCs, and game user interactions using real-time virtual character animations. Our preliminary results are well suited for VR Safari as game contents with surround displays running on a PC clusters.
Secure CrsMgr: a course manager system

Internet was developed for computers to be interconnected easily and hence allow them to interchange information. One of the early use of the internet was for email communications and file transfers. The web was developed to make the sharing of information much more convenient. However, the technology for protecting data when interaction is allowed was developed piecemeal and many web applications where user communicate using the web form based interface with a server and databases are exposed to various threats including malicious script. Moreover, companies and malicious users use trackers to observe and record the user actions. In this project we address these problems in connection with course manager system(CrsMgr) which is used currently to manage typical university courses; it includes features for posting notes, tutorials, assignments, projects, create and maintain student groups, provide facility for group peer evaluation, on-line quizzes, and grading. The technique used to enhance the security based on using filtration layer and prepared-execute layer to make CrsMgr secure. The goal of filtration layer is to catch malicious user input based on suspect key words; The goal of prepared-execute layer is to invalidate malicious input. The implementation of this feature uses mysqli, a PHP extension for secure database access. We have also developed an experimental browser which prevents user tracking and saves bandwidth by disallowing third party contents. The latter uses two techniques: filtration and user agent faking. Filtration is to check every resource Uniform Resource Identifier(URL) before making a request to load it, and not loading any target URL if it is determined to be a third party. The third party determination policy is configured by the user. The browser also provides user agent faking which is a feature that allows masquerading the browser and platform information with random information. The browser provides a simple user interface that allow user to verify the third party content on a web page and stop using a simple switch metaphor.
3D data registration method for vision measurement based on a single digital camera

A new 3D data registration method for large surface vision measurement is proposed.A digital camera with high resolution is used as the global measurement equipment,which is fixed at a certain position.The digital camera coordinate frame is taken as the global coordinate frame.The vision sensor measures all sub-areas of the measured object in different positions to acquire 3D data of the sub-areas in local coordinate frames.The local coordinate frames of the vision sensor in different positions are unified into the global coordinate frame by a planar target as the intermediary.Then the 3D data are unified into the global coordinate frame and 3D registration is completed.The proposed method need not stick marks on the measured object,so it is suit to all the measured objects regardless of material.And the method eliminates registration accumulated error.The experimental results show that the relative registration error is 0.076%. The vision sensor measures 3 sub-areas of a Venus plaster statue,and the 3D data of sub-areas and the registration results are given.
Enhanced Thermoelectric Performance of Rough Silicon Nanowires.

Approximately 90 per cent of the world's power is generated by heat engines that use fossil fuel combustion as a heat source and typically operate at 30-40 per cent efficiency, such that roughly 15 terawatts of heat is lost to the environment. Thermoelectric modules could potentially convert part of this low-grade waste heat to electricity. Their efficiency depends on the thermoelectric figure of merit ZT of their material components, which is a function of the Seebeck coefficient, electrical resistivity, thermal conductivity and absolute temperature. Over the past five decades it has been challenging to increase ZT > 1, since the parameters of ZT are generally interdependent. While nanostructured thermoelectric materials can increase ZT > 1 (refs 2-4), the materials (Bi, Te, Pb, Sb, and Ag) and processes used are not often easy to scale to practically useful dimensions. Here we report the electrochemical synthesis of large-area, wafer-scale arrays of rough Si nanowires that are 20-300 nm in diameter. These nanowires have Seebeck coefficient and electrical resistivity values that are the same as doped bulk Si, but those with diameters of about 50 nm exhibit 100-fold reduction in thermal conductivity, yielding ZT = 0.6 at room temperature. For such nanowires, the lattice contribution to thermal conductivity approaches the amorphous limit for Si, which cannot be explained by current theories. Although bulk Si is a poor thermoelectric material, by greatly reducing thermal conductivity without much affecting the Seebeck coefficient and electrical resistivity, Si nanowire arrays show promise as high-performance, scalable thermoelectric materials.
Video Enhancement Using A+ECB Algorithm

Videos from various sources like video surveillance cameras, medical imaging and video conferences are of poor quality. Video frames should be better quality to human visualization. There are several video enhancement techniques has been proposed . In this paper video enhancement technique using piecewise tone mapping is proposed. Initially, different region of interests (ROIs) of the frame are to be identified and then features are extracted . Then tone mapping will be performed to improve the intraframe quality. Temporal consistencies between frames can be improved using interframes constraints. By using this algorithm both intraframe quality as well as interframe quality can be improved.
Introduction to Statistical Machine Learning

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image processing, speech processing, natural language processing, robot control, as well as in fundamental sciences such as biology, medicine, astronomy, physics, and materials. Introduction to Statistical Machine Learning provides a general introduction to machine learning that covers a wide range of topics concisely and will help you bridge the gap between theory and practice. Part I discusses the fundamental concepts of statistics and probability that are used in describing machine learning algorithms. Part II and Part III explain the two major approaches of machine learning techniques; generative methods and discriminative methods. While Part III provides an in-depth look at advanced topics that play essential roles in making machine learning algorithms more useful in practice. The accompanying MATLAB/Octave programs provide you with the necessary practical skills needed to accomplish a wide range of data analysis tasks.Provides the necessary background material to understand machine learning such as statistics, probability, linear algebra, and calculus.Complete coverage of the generative approach to statistical pattern recognition and the discriminative approach to statistical machine learning.Includes MATLAB/Octave programs so that readers can test the algorithms numerically and acquire both mathematical and practical skills in a wide range of data analysis tasksDiscusses a wide range of applications in machine learning and statistics and provides examples drawn from image processing, speech processing, natural language processing, robot control, as well as biology, medicine, astronomy, physics, and materials.