Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross-Lingual and Cross-Chronological Information Access to Multilingual Historical Documents

In this chapter, we present our work in realizing information access across different languages and periods. Nowadays, digital collections of historical documents have to handle materials written in many different languages in different time periods. Even in a particular language, there are significant differences over time in terms of gram -mar, vocabulary and script. Our goal is to develop a method to access digital collec- tions in a wide range of periods from ancient to modern. We introduce an information extraction method for digitized ancient Mongolian historical manuscripts for reduc- ing labour-intensive analysis. The proposed method performs computerized analysis on Mongolian historical documents. Named entities such as personal names and place names are extracted by employing support vector machine. The extracted named entities are utilized to create a digital edition that reflects an ancient Mongolian historical manuscript written in traditional Mongolian script. The Text Encoding Initiative guide lines are adopted to encode the named entities, transcriptions and interpretations of ancient words. A web-based prototype system is developed for utilizing digital editions of ancient Mongolian historical manuscripts as scholarly tools. The proposed prototype has the capability to display and search traditional Mongolian text and its transliteration in Latin letters along with the highlighted named entities and the scanned images of the source manuscript.
Wireless Smart Infusion Pumps: A Proposed Continuous Quality Improvement Data Analysis Process

Julie Polisena MSc, PhD, Hal Hilfi EMBA, MScME, Mario Bédard B.Pharm. PharmD, Art Sedrakyan MD PhD Canadian Agency for Drugs and Technologies in Health, Ottawa, ON, Canada; School of Epidemiology, Public Health, and Preventive Medicine, Faculty of Medicine, University of Ottawa, ON, Canada; Biomedical engineering, The Ottawa Hospital, Ottawa, ON, Canada, Pharmacy Department, The Ottawa Hospital, Ottawa, ON, Canada, Cardiothoracic Surgery and Health Policy and Research, Weill Cornell Medical College, New York, NY, USA
Tangible interfaces in virtual environments, case study "Instituto de Engenharia Nuclear Virtual"

Virtual Reality (VR) techniques allow the creation of realistic representations of an individual. These technologies are being applied in several fields such as training, simulations, virtual experiments and new applications are constantly being found. This work aims to present an interactive system in virtual environments without the use of peripherals typically found in computers such as mouse and keyboard. Through the movement of head and hands it is possible to control and navigate the virtual character (avatar) in a virtual environment, an improvement in the man-machine integration. The head movements are recognized using a virtual helmet with a tracking system. An infrared camera detects the position of infrared LEDs located in the operator’s head and places the vision of the virtual character in accordance with the operator’s vision. The avatar control is performed by a system that detects the movement of the hands, using infrared sensors, allowing the user to move it in the virtual environment. This interaction system was implemented in the virtual model of the Instituto de Engenharia Nuclear (IEN), which is located on the Ilha do Fundao - Rio de Janeiro - Brazil. This three-dimensional environment, in which avatars can move and interact according to the user movements, gives a feeling of realism to the operator. The results show an interface that allows a higher degree of immersion of the operator in the virtual environment, promoting a more engaging and dynamic way of working.
A Study on Machine Learning in Big Data

In the recent development of IT technology, the capacity of data has surpassed the zettabyte, and improving the efficiency of business is done by increasing the ability of predictive through an efficient analysis on these data which has emerged as an issue in the current society. Now the market needs for methods that are capable of extracting valuable information from large data sets. Recently big data is becoming the focus of attention, and using any of the machine learning techniques to extract the valuable information from the huge data of complex structures has become a concern yet an urgent problem to resolve. The aim of this work is to provide a better understanding of this Machine Learning technique for discovering interesting patterns and introduces some machine learning algorithms to explore the developing trend. Article history Received: 09 September 2017 Accepted:19 September 2017
Accommodating Different Learning Styles Using YouTube: An Approach to Helping Students Understand Ecological Systems Theory

Theories of the family, specifically ecological systems theory, can be difficult for students to grasp, particularly when instructors only use lecture methods. The activity this article discusses proposes a personalized experiential learning activity that appeals to students with various learning styles. The activity should help all students understand and apply early models of ecological systems theory, which includes microsystem, mesosystem, exosystem, macrosystem, and chronosystem. After discussing each subsystem and bi-directional influences between individuals and the environment with students, instructors have students watch a popular YouTube video portraying family conflict or support. Students work in pairs or small groups to analyze family behavior depicted in the video, according to each ecological systems theory subsystem. Students write responses and discuss them with the class. Formal and informal evaluations conducted after using this YouTube-based approach demonstrate students’ understanding and retention of, and interest in, ecological systems theory.
Algorithms of oppression: how search engines reinforce racism

David” in Silwan, are few but powerful examples of reshaping the city and of rendering an altered reality of it presented here. In Jerusalem, historical and social life are set by Israeli political agendas. However, physical reality will always bear witness to a mythically proclaimed unification and democracy. With works like Dana Hergbergs’, understanding the dynamic that generates further injustices even within the Israeli society itself can be a tool to help rectify possibilities into the future.
Fluids, Gels and Crystals : Phase behavior of binary thermoresponsive microgel mixtures

Thermoresponsive colloidal microgels expel solvent from their interior upon crossing a threshold temperature, resulting in a significantly reduced size. The collapse of microgels can reversibly switch the interparticle interactions from soft repulsive to attractive, and the accompanying size reduction allows for precise control over volume fraction. Mixing two microgels that collapse at different threshold temperatures provides a system where size ratio, volume fraction and specific interparticle interactions can all be controlled externally with temperature. In this thesis, we investigate various transitions exhibited by these highly tunable systems, and analyze the resulting structural properties. Taking advantage of the two-step collapse behavior, it is shown how different gel structures can be formed depending on the temperature profile used: a fast heating profile yields a gel that has a random distribution of the two particles, while a slower heating profile yields a sequentially gelated structure where one particle type decorates a scaffold network of the other type. The sequential network possesses stronger mechanical responses than its homo-gelated counterpart, and its final mechanical properties are determined by the properties of the scaffold at the moment of secondary particle deposition. We furthermore propose a new model based on particles with patchy interactions that is used to simulate such colloidal gels. In addition to the formation of binary gels, we show how binary mixtures can be driven to self-assemble into binary colloidal crystals. Using a newly designed sample cell that allows in-situ salinity manipulation, we observe a binary soft particle crystal-to-crystal transition. Finally, a microgel synthesis method is proposed that allows for enhanced CLSM imaging compared to traditional synthesis methods. We thus demonstrate and investigate a number of systems that all allow extensive control over phase behavior and structure formation using externally controllable parameters.
continuous Relaxation to Over-constrained Temporal Plans

When humans fail to understand the capabilities of an autonomous system or its environmental limitations, they can jeopardize their objectives and the system by asking for unrealistic goals. The objective of this thesis is to enable consensus between human and autonomous system, by giving autonomous systems the ability to communicate to the user the reasons for goal failure and the relaxations to goals that archive feasibility. We represent our problem in the context of temporal plans, a set of timed activities that can represent the goals and constraints proposed by users. Over-constrained temporal plans are commonly encountered while operating autonomous and decision support systems, when user objectives are in conflict with the environment. Over constrained plans are addressed by relaxing goals and or constraints, such as delaying the arrival time of a trip, with some candidate relaxations being preferable to others. In this thesis we present Uhura, a temporal plan diagnosis and relaxation algorithm that is designed to take over-constrained input plans with temporal flexibility and contingencies, and generate temporal relaxations that make the input plan executable. We introduce two innovative approaches within Uhura: collaborative plan diagnosis and continuous relaxation. Uhura focuses on novel ways of satisfying three goals to make the plan relaxation process more convenient for the users: small perturbation, quick response and simple interaction. First, to achieve small perturbation, Uhura resolves over-constrained temporal plans through partial relaxation of goals, more specifically, through the relaxation of schedules. Prior work on temporal relaxations takes an all-or-nothing approach in which timing constraints on goals, such as arrival times to destinations, are completely relaxed in the relaxations. The Continuous Temporal Relaxation method used by Uhura adjusts the temporal bounds of temporal constraints to minimizes the perturbation caused by the relaxations to the goals in the original plan. Second, to achieve quick responses, Uhura introduces Best-first Conflict-directed Relaxation, a new method that efficiently enumerates alternative options in best-first order. The search space of alternative options to temporal planning problems is very large and finding the best one is a NP-hard problem. Uhura empirically demonstrates fast enumeration by unifying methods from minimal relaxation and conflict-directed
Corporate social responsibility reporting within the Malaysian oil and gas industry: A questionable publicity stunt

This paper aims to challenge those involved in the CSR industry, non-governmental organizations (NGO) workers, CSR professionals and CSR consumers to question the real intentions by companies in their stance to move with the current trends and contribute towards a more sustainable and socially just society via their CSR activities. This paper used critically reviewed articles by using quantitative content analysis to analyse the High-Fit and Low-Fit CSR activities published within the Annual Reports, CSR Reports and company websites on firm performance over 5 years across the 30 oil and gas companies of Bursa Malaysia. This study finds that oil and gas companies should standardize their CSR reports based on the high-fit and low-fit CSR activities. By doing so, companies would be able to improve their reputation within the global community. This study could assist managers in oil and gas companies to review their CSR activities that indirectly give impacts towards social, economic and the environment.
Resource allocation in a wireless network

A data stream is transmitted between a base station and user terminal. A first resource that is available to transmit a page is selected at the base station and the page transmitted from the base station via the first resource. The page is received at the user terminal via the first resource and a second resource that is available to transmit a page response is selected at the user terminal. A page response is transmitted from the user terminal via the second resource in response to the page. A data stream is then transmitted between the base station and user terminal via a third resource. In one embodiment, the first, second and third resources utilize the same sequence of radio frequency resources that follow a hopping sequence among a set of available radio frequency resources. In one embodiment, at least two of the first, second and third resources utilize the same sequence of radio frequency resources. In yet another embodiment, the resources utilize different sequences of radio frequency resources.
The Constraints of Former Drug Users to Maintain Self-Recovery

The phenomenon of drug abuse in the community is becoming increasingly serious and difficult. This is getting worse because the drug which was originally a painkiller was abused. Even today's drug supply is very easy to get at a cheap price. The main objective of this research is to identify the constraints faced by former drug users to maintain self-recovery after completing the rehabilitation program. This research is qualitative research that uses a case study approach through in-depth interview methods. This research was conducted at two Terengganu State Parole Offices, Kuala Terengganu District Parole Office and Hulu Terengganu District Parole Office. This research involves an in-depth interview with 13 parolees as a research respondent. Sample selection was done through purposive sampling technique and the data obtained was analyzed using thematic analysis. Research International Journal of Academic Research in Business and Social Sciences Vol. 9 , No. 2, Feb, 2019, E-ISSN: 2 22 2 -6990 © 2019 HRMARS 713 findings show that there are two major constraints that former drug users have to face in maintaining self-recovery namely internal constraints and individual external constraints.
Capacity on wireless quantum cellular communication system

Quantum technology is making excellent prospects in future communication networks. Entanglement generation and purification are two major components in quantum networks. Combining these two techniques with classical cellular mobile communication, we proposed a novel wireless quantum cellular(WQC) communication system which is possible to realize commercial mobile quantum communication. In this paper, the architecture and network topology of WQC communication system are discussed, the mathematical model of WQC system is extracted and the serving capacity, indicating the ability to serve customers, is defined and calculated under certain circumstances.
Research on e-commerce intelligent service based on Data Mining

With the rapid development of electronic commerce in China, a large amount of information data will be generated at every moment. How to excavate useful information is becoming an important problem In the big data age. Firstly, the smart service model of E-Commerce based on data mining was proposed, and user group mining, user interest mining, industry and domain knowledge mining and business association mining were used to bridge the gap between the big data application and requirements of smart service. Then the technical support system of E-Commerce data mining based on Hadoop platform was suggested to provide technical solution for implementation of smart service applications. And finally, the scenario knowledge recommendation service with the support of big data mining were discussed.
Wearable sensors for pH detection.

Skin diseases are common in the UK, especially in children where 34% suffer from such diseases at some point. Wound care and management is also a significant burden to the UK healthcare system, estimated at an annual cost of £5.3 billion. Epidermal pH gives an indication of the physiological condition of the skin and the healing progress of wounds. An effective pH-sensing dermal patch would provide non-invasive skin and wound monitoring, aiding treatment. The aim of this work was to develop a fibre-based flexible electrode to measure skin/wound pH. This will facilitate point-of-care analysis and allow appropriate care to be administrated by medical professionals. Highly conductive wet-spun poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT:PSS) fibres, a prior concept developed by Reid et al., were adopted for pH analysis. With an optimised polyaniline (PANi) coating, these fibres displayed Nernstian responses (in a solid-state sensor containing a fabricated quasi-reference electrode) across a pH range of 3.0 to 9.0 when in contact with both pH-adjusted artificial sweat matrix and human plasma; the fibres had additional desirable antibacterial and biocompatible properties. To date, wet-spun PEDOT:PSS fibres have not been adopted in a chemical sensing capacity. This invention provides opportunities for future wearable, fibre-based sensors capable of real-time, on-body pH sensing (to monitor wound healing and skin disease). However, a primary limitation was poor tensile strength (32 ± 11 MPa), which could lead to fibre breakages in real-life wearable applications. To overcome this limitation, another substrate, modified electrically conductive cotton, was explored. A simple and effective “dipping and drying” approach involving cotton yarns in a dispersion of PEDOT:PSS and multi-walled carbon nanotubes (MWCNT) resulted in the development of a flexible, highly conductive cotton fibre. Subsequent PANi deposition yielded electrodes with significant biocompatible and antibacterial properties that could be fabricated (alongside quasi-reference electrodes) into a solid-state wearable pH sensor, which achieved rapid, selective, and Nernstian responses (-61 ± 2 mV pH-1) over a wide pH range (2.0 – 12.0), even in pH-adjusted artificial sweat matrix and human plasma. To date, there is no prior published research that reports on this combination of conductive materials and cotton in such a sensing capacity. Furthermore, few previous reports have described conducting cotton threads with low enough electrical resistances to allow the electrodeposition of functional polymers, like PANi, whilst retaining the necessary flexibility for wearable applications. Thus, this development represents an important progression towards the realisation of real-time, on-body, wearable sensors.
The role of FGF2 in craniofacial skeletogenesis

E vidence that the major craniosynostosis syndromes are caused by mutations in fibroblast growth factor receptors (FGFRs) has suggested that this signalling pathway plays a major role in skull development. Our studies on the effect of FGF2 treatment and transfection of constitutively active FGFRs on premigratory neural crest and cranial vault mesenchyme indeed support the view that fine modulation of the FGF signalling pathway is crucial for normal skull formation.
A nonuniform, shift-invariant, and optimal algorithm for Malvar's wavelet decomposition

In this article, we propose a new decomposition scheme for Malvar's wavelet representation. Our algorithm is nonuniform, shift-invariant and minimal for an information cost function, contrary to the shift-invariant algorithm of Cohen. We propose some restrictions to our algorithm in order to reduce the complexity and permitting us to provide some partitions of the signal in agreement with its structure. This new local trigonometric transform, more adapted than Malvar's decomposition, allows the analysis of the signal and permits one to obtain a satisfying time-frequency representation.
UNDERSTANDING SOUVENIR AS AN ESSENTIAL INSTRUMENT FOR GUIDING TOURISTS: A CONCEPTUAL FRAMEWORK

Souvenir acts as an essential instrument for guiding tourists. Souvenirs are a tangible part of the tourism experience. Souvenirs provide an excellent opportunity to potential worldwide advertising and potentially lucrative economic activity. On the one hand, it has an emotional value attached with it that can help to relate people, moments, feelings, phases, locations or situations together and on the other saves their experiences and memories. Effective souvenir is one which has its uniqueness and thus, provides competitive advantage to others dealing in the similar product line. The given paper is an attempt mainly to understand the importance of souvenirs in tourism sector. It also highlights various suggestive strategies for promotion of souvenirs among tourists.
Clock Constraints Specification Langage : A mechanized denotational semantics in Agda

CCSL is a concurrency modeling language defined inside the MARTE UML profile. It was designed to provide system designers with requirement modeling facilities that are easier to master than temporal logics. It allows the expression of event occurrences and constraints between them. TimeSquare is a tool that implements CCSL providing on the one hand textual and graphical modeling facilities, and on the other hand a solver that checks the satisfaction of these constraints, hence giving CCSL an operational semantics. This toolset allows to assess system specific properties at the model level. But, some properties need to best verified at language level, especially when extending the language itself. In order to prove these ones, the designers of CCSL provided a denotational semantics that associate mathematical definitions to CCSL constructs. But, since this semantics is handmade and lacks a formal version to build and verify the properties of the extensions, we propose to mechanize it in a proof assistant. We have selected the Agda theorem prover, developed by Ulf Norell at Chalmer's university for this work.
Smash-Up

Among the current trends, globally in education, is a focus on personalized learning as a way to meet student needs, increase engagement, and improve achievement. Design thinking is a process, as well as a way of being, which, as a promising practice, provides a means for personalizing learning through work that is meaningful and relevant to students. The mindsets and processes of design thinking were used to invite gifted students into problem finding and problem solving, which began with where the students were at and further developed their knowledge and skills in action-oriented solutions. Using design thinking, students engaged in the world to solve authentic problems through a lens of empathy and human centeredness, strengthening their ties to community. Design thinking provided rich learning opportunities that were effective for gifted learners, engaging their curiosity, sense of social justice, imagination, and critical thinking.