Reviewerly/exHarmony huggingface dataset:
Immersive Technology and Medical Visualisation: A Users Guide

The immersive technologies of Virtual and Augmented Reality offer a new medium for visualisation. Where previous technologies allowed us only two-dimensional representations, constrained by a surface or a screen, these new immersive technologies will soon allow us to experience three dimensional environments that can occupy our entire field of view. This is a technological breakthrough for any field that requires visualisation, and in this chapter I explore the implications for medical visualisation in the near-to-medium future. First, I introduce Virtual Reality and Augmented Reality respectively, and identify the essential characteristics, and current state-of-the-art, for each. I will then survey some prominent applications already in-use within the medical field, and suggest potential use cases that remain under-explored. Finally, I will offer practical advice for those seeking to exploit these new tools.
Implementation of Min Max Algorithm as Intelligent Agent on Card Battle Game

Information technology brings transformation from the physical world into the digital world. This transformation developed in various fields, especially games. In the past, games that are involving physical objects such as chess, cards, dominoes, and mahjong are popular for the publics. Card battle game is a game that pits strength between 2 cards. The game must have 2 players who will compete. However, if a player wants to practice before the match or wants to play alone, he needs Non Player Character (NPC). The NPC will be the opponent in card battle games. In order for NPCs to be able to fight players, a special algorithm is needed to make the NPCs compete with players. The algorithm that can be implemented into the NPC is the Min Max Algorithm. This algorithm is a responsive algorithm which can count every step of the player. The results of this study are expected to provide suitable opponents for players who want to practice or compete in Card Battle Game on their own.
Singularity Functions to Enhance Monitoring in the Last Planner System

Many traditionally managed construction projects suffer from schedule delays.However, in Lean Construction, the Last Planner System TM (LPS) stipulates planning tasks first at the macro (Master Schedule and Phase Schedule) and then at the micro levels (Look-ahead Planning and Weekly Work Plan, WWP) when the week of execution approaches.This paper aims to enhance the control aspect of LPS before the end of the execution in order to finish on schedule.Its objective is to improve the WWP by monitoring project progress on a daily basis to have enough time for corrective measures, catch up to the planned schedule, and minimize wastes in time and resources.The approach allows project participants to compare planned to actual progress, calculate required improvement if needed, and be alerted if cascading delays may occur.It calculates the Process Reliability Index (PRI) to check whether extra allocation of labor is needed to finish the required work, checks for congestion in work areas, and predicts the possible Percent Plan Complete (PPC) before the end of the execution week.Moreover, this paper proposes a new metric that shows the reliability of the team in applying the recommended improvements.This metric allows more realistic improvement plans compared to prior attempts.The monitoring approach can be applied to linear, repetitive, and location-based projects.Singularity functions are used as the core model because they are suitable for such schedules.They can be implemented in various computer applications.An example is used to evaluate the approach and finds it to be reliable.
Waarom zou een zin geen twee voorzetselvoorwerpen kunnen bevatten?

In the last two decades there has been a debate about the question whether a simple clause can contain more than one prepositional object. In this paper, I argue that the underlying grammatical model plays a decisive role in opting for either one or two prepositional objects, as becomes clear in the discussion between Vandeweghe and Broekhuis. Moreover, following Vandeweghe, I claim that simple clauses indeed can contain two prepositional objects if the relationship of each of the two objects to the predicate is different.
Navigation Method in Non-Stationary Environment for Embedded Control System of Mobile Robots

The technique of finding the optimal paths of movement and synchronization of moving for a scattered group of ground mobile robots to a joint collection point located in an area with dynamically changing environments is proposed. IoC principles for creating a software platform for the problem under consideration are given and the algorithm of basic implementation of route search in terrain for the loosely coupled architecture of the application is presented.
iMALERT – an Emergency Response Mobile ApplicationUsing Geo-Location for Palayan City Disaster Risk Reduction and Management Office

The researchers developed an Interactive Mobile Application for Less Emergency Response Time (iMALERT), a mobile application, aimed to aid in the emergency response activities of Palayan City Disaster Risk Reduction and Management Office ( DRRMO) through real-time incident reporting.The mobile application is equipped with a web-based database server managed by the said office where the emergency incident reports are sent for assessment of the necessary and appropriate response activity.Using four of the five processes of Software Development Lifecycle, the researchers were able to conceptualize, design, develop and stabilize the features of the mobile application and database which were evaluated by expert and non -expert respondents as a reliable tool for emergency case reporting and response in terms of functionality, accuracy, service and usefulness and security and maintenance.
Cloud-Based Management Information System: A Systematic Review and Future Research Scope

Several organizations, mostly governmental, have adopted information systems for management. They are considered especially helpful for large projects that have a high degree of complexity. Due to this, most firms, especially in developing countries like Jordan, can remain on their core functions with the successful adoption of cloud-based management information systems. This study primarily focuses on the systematic review of several studies in the literature that have evaluated management information system through cloud computing technology. In order to achieve the aim of this study, a systematic review of management and business process journals is conducted Results returned are evaluated and assessed to understand principle functioning of information systems, their uses in management, and adaptation of cloud-based MIS. Results of the assessment are compiled and a collective conclusion about the adoption of cloud-based MIS have been discerned for our present study. Findings indicate a structural focus on cloud-based management information systems among small and medium enterprises, several organizations, mostly governmental as well as industrial giants. Therefore, through this research study, the applicability of cloud-based MIS into the management processes is explored and highlighted. Various advantages and applications of cloud-based MIS in outsourcing and management are compiled from related studies in the literature
Construction of Thirty Six Points Second Order Rotatable Design in Three Dimensions with a Practical Hypothetical Case Study

In this study, a new thirty six points second order rotatable design is constructed using trigonometric functions and a practical hypothetical example is given by converting coded levels to natural levels.This design permits a response surface to be fitted easily and provides spherical information contours besides the economic use of scarce resources in relevant production processes.
Design and Implementation of Medicine Dispenser

Most of the people in the world face a problem of forgetting to take their medicines on time this device will help them to take their medicines on right time.It can also be used for deaf and blind people, it will also have a band with it which will have vibrator and LED (Light Emitting Diode) flasher as indicator so the user can be alerted about taking medicines.After this he has to go to the Medicine Dispenser and spread his hand.The device will detect the hand and according to the time will dispense the appropriate medicine.With some modifications this device can also be installed on streets and people can withdraw their required medicines, here a RFID (Radio Frequency Identification) card can be used to store the data and identify the person and validate it.
Review of Cloud Forensics: Challenges, Solutions and Comparative Analysis

Every technology has some benefits and some limitations.Cloud computing has its own set of them.Cloud computing has various advantages i.e. reliability, cost effective, scalability, fault tolerance, backup.But there are also some security issues in cloud computing because data is stored on worldwide platform.Many attackers can use cloud services to create vulnerability in the cloud system.There are some forensics tools implemented to find information about these attacks in cloud environment.This complete process to find evidence in cloud environment is known as cloud forensics.This paper presents a study about cloud forensics methods, technology used, comparative study to provide awareness of tools, methods, challenges in cloud forensics.This information will help to find new techniques to improve forensics process in cloud forensics.
Dialectologie en Nederlandse zinsbouw*

Dialectology and Dutch syntax This paper argues for a closer collaboration between Dutch dialect syntax research on the one hand and the synchronic study of Standard Dutch grammar on the other. The central claim is that a thorough grasp of morphosyntactic variation in Dutch dialects can substantially enrich both the description and the analysis of Standard Dutch sentence structure. Three case studies are presented in support of this claim: Infinitivus pro Participio (IPP), the clausal template, and word order variation in verb clusters.
PSYCHOLOGICAL FEATURES OF A SPECIALIST PROFESSIONAL THINKING

The article deals with the psychological peculiarities of the professional thinking of a specialist, analyzes the research of scientists within the framework of the activity approach to the definition of the essence and specificity of critical, radiant, disciplined, creative, practical, technical, managerial and purely professional thinking of a person.The features of professional thinking as a psychological cognitive process, which scientists associate with the process of professional development of a specialist, acquisition of special professional knowledge, skills during professional training and further professionalization, which in aggregate allow to provide an effective solution to professionally predetermined tasks, search and decision-making in interdependence with the level of professional training, professional competence and professionalism at a certain stage of professional development, the acquisition of a specialist professional skills in general.The close relationship between the characteristics of professional thinking with the subject-specific specifics of a particular professional activity, the level of professional training of a specialist, his individual psychological peculiarities, the experience of implementation provided by the official competencies of functional tasks, and the adoption of appropriate decisions, the desire to upgrade knowledge, professional development, finding new, original ways of solving professional problems, forecasting situations and making non-standard decisions, acquiring professional skill in general.The features of the psychological mechanism of forming (developing) a new solution of a practical problem or a problem situation in the process of professional activity of a specialist are determined, which is based on the individual transfer of identical elements of the gestalt of acquired professional knowledge in its direct relation to this problem (problem situation) and the comprehension of this insight communication with it.An important aspect for a full understanding of the phenomenon of professional thinking is the position that the main quality of a modern specialist in any field should be professionally directed practicality of mind, which will effectively solve new and non-standard professional tasks.
Invisibility and Readability of Temporally and Spatially Intensity-Modulated Metaimage for Information Hiding on Digital Signage Display System

This paper describes a display technique that enables us to invisibly embed a metaimage into a color component of a displayed cover image by using a temporally, spatially, color-intensity-modulated metaimage and to extract it. We first examined invisibility in terms of color components for a temporally and spatially intensity-modulated metaimage in a displayed cover image. The results obtained from these experiments revealed that the invisibility with which the metaimage was embedded in the blue color component was much higher than that of the red and green components. Our experiments also revealed that the red and green components could not be used for a color component in which the metaimage was embedded. We also proposed and evaluated a new technique of improving the readability of an invisibly embedded metaimage in a displayed cover image captured with a video camera. The proposed technique uses two methods. A proposed method of calculating an estimated grayscale metaimage enabled us to obtain a value for the binarizing threshold from its histogram by using the correlation between color components in which the metaimage was either embedded or not embedded. A proposed method of calculating an estimated binary metaimage could drastically reduce noise caused by the cover image by using the obtained value of the binary threshold and size feature parameters of the embedded metaimage. The readability of the metaimage was drastically improved by using these methods.
Enumeration of the Chebyshev-Frolov lattice points in axis-parallel boxes

For a positive integer $d$, the $d$-dimensional Chebyshev-Frolov lattice is the $\mathbb Z$-lattice in $\mathbb {R}^d$ generated by the Vandermonde matrix associated to the roots of the $d$-dimensional Chebyshev polynomial. It is important to enumerate the points from the Chebyshev-Frolov lattices in axis-parallel boxes when $d=2^n$ for a non-negative integer $n$, since the points are used as the nodes of Frolov’s cubature formula, which achieves the optimal rate of convergence for many spaces of functions with bounded mixed derivatives and compact support. Kacwin, Oettershagen and Ullrich suggested an enumeration algorithm for such points and later Kacwin improved it, which are claimed to be e‰cient up to dimension $d = 16$. In this paper we suggest a new algorithm which enumerates such points in realistic time for $d = 2^n$, up to $d = 32$. Our algorithm is faster than theirs by a constant factor.
Comprehensive analysis of data storage security in cloud

Cloud computing is growing up as most advantageous technology within the field of computing that effects several aspects of computing. It provides users to access the application as a service over the internet. It also offers many storage services to store his/her information in cloud server. The information over the cloud servers is well accessed by each computing suppliers and enforcement agencies easier as compared to data hold on our native disk. On the opposite hand cloud brings many alternative security problems. In the cloud setup most of the cloud service suppliers aren't providing reliable information services to client. It solely guarantees integrity, availableness, privacy and confidentiality. Thus information security becomes a very important issue for securing outsourced information and to keep up grade of trust among information house owners. In this paper, a pedagogical study has been done regarding cloud storage and security of data in cloud. A comprehensive analysis has been done to understand what kind of Cloud Computing Storage Security Methods has been used by previous researchers that help to discover new direction in research.
Education of International Migrants’ Children: A Contribution to the Sustainable Development?

Due to the Agenda for Sustainable Development adopted by the UN General Assembly in 2015, the world community is to obtain a quality education and a possibility for life-long education for everybody. Children from the families of international migrants are the most vulnerable category of the population. At the end of 2017 nearly 36 million of school age children grew in the families of international migrants. The author describes problems of the education of migrants’ children in the context of the importance of achieving Sustainable Development Goals, stated by the international community. There is an analysis of the European and Russian experience in the sphere of organizing access of migrants’ children to preschool, primary and secondary education. The author has gathered concrete statistics concerning the percentage of international migrants’ children at schools in different countries. Some approaches to teaching and creating a comfortable integration-oriented environment for such children are described. Based on analyzing Russian and foreign publications, as well as on her own research experience, the author names main problems that prevent international migrants’ children from the integration into a new educational environment. Special attention is paid to the linguistic, social and cultural adaptation of such pupils. The efficiency of several concrete integration practices and the potential to apply them in Russia is searched. The author shows that there are no approaches to diagnose processes and results of integration by means of education. There is also no legislative basis for the regulation of such processes. It is shown that it is crucial for Russia to elaborate and implement the united conceptual approach to the organization of social, cultural, linguistic and psychological adaptation of children from the families of international migrants. The author proves that the education of such children is an important strategic priority and investment into the future of the whole world.
Analisis Algoritma Klasifikasi C 4.5 Untuk Memprediksi Keberhasilan Immunotherapy Pada Penyakit Kutil

Maintaining skin health is one thing that is also needed. Not only health from inside, health from the outside must also be considered. There are so many skin problems that arise in the human body. Wart disease is characterized by small bumps on the surface of the skin which are generally caused by the Human Papiloma Virus (HPV) virus. One technique for treating wart disease is immunotherapy, this method is a treatment by increasing the immune system to deal with wart disease. Clinical predictions are growing very rapidly by adopting computer science and information technology in managing health and drug data, this clinical prediction can be produced from processing using data mining methods. Data mining is a popular method used to explore patterns or knowledge from large data stacks. C 4.5 algorithm which is one of the decision tree induction algorithms is also a method of data mining algorithms used to classify. This study aims to predict the success rate of immunotherapy treatment methods on wart disease with algorithm C 4.5 using RapidMiner. From the study it was known that the accuracy rate for processing immunotherapy data on wart disease to predict its success using the C 4.5 algorithm of 74.07%.
Combining Nonparametric Spatial Context Priors With Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy Images

Data driven segmentation is an important initial step of shape prior-based segmentation methods since it is assumed that the data term brings a curve to a plausible level so that shape and data terms can then work together to produce better segmentations. When purely data driven segmentation produces poor results, the final segmentation is generally affected adversely. One challenge faced by many existing data terms is due to the fact that they consider only pixel intensities to decide whether to assign a pixel to the foreground or to the background region. When the distributions of the foreground and back-ground pixel intensities have significant overlap, such data terms become ineffective, as they produce uncertain results for many pixels in a test image. In such cases, using prior information about the spatial context of the object to be segmented together with the data term can bring a curve to a plausible stage, which would then serve as a good initial point to launch shape-based segmentation. In this paper, we propose a new segmentation approach that combines nonparametric context priors with a learned-intensity-based data term and nonparametric shape priors. We perform experiments for dendritic spine segmentation in both 2 D and 3 D 2-photon microscopy images. The experimental results demonstrate that using spatial context priors leads to significant improvements.
Fast Hermite interpolation and evaluation over finite fields of characteristic two

This paper presents new fast algorithms for Hermite interpolation and evaluation over finite fields of characteristic two. The algorithms reduce the Hermite problems to instances of the standard multipoint interpolation and evaluation problems, which are then solved by existing fast algorithms. The reductions are simple to implement and free of multiplications, allowing low overall multiplicative complexities to be obtained. The algorithms are suitable for use in encoding and decoding algorithms for multiplicity codes.
Efficient Multi-level Correlating for Visual Tracking

Correlation filter (CF) based tracking algorithms have demonstrated favorable performance recently. Nevertheless, the top performance trackers always employ complicated optimization methods which constrain their real-time applications. How to accelerate the tracking speed while retaining the tracking accuracy is a significant issue. In this paper, we propose a multi-level CF-based tracking approach named MLCFT which further explores the potential capacity of CF with two-stage detection: primal detection and oriented re-detection. The cascaded detection scheme is simple but competent to prevent model drift and accelerate the speed. An effective fusion method based on relative entropy is introduced to combine the complementary features extracted from deep and shallow layers of convolutional neural networks (CNN). Moreover, a novel online model update strategy is utilized in our tracker, which enhances the tracking performance further. Experimental results demonstrate that our proposed approach outperforms the most state-of-the-art trackers while tracking at speed of exceeded 16 frames per second on challenging benchmarks.
Modelling the Socialization of Creative Agents in a Master-Apprentice Setting: The Case of Movie Title Puns

This paper presents work on modelling the social psychological aspect of socialization in the case of a computationally creative master-apprentice system. In each master-apprentice pair, the master, a genetic algorithm, is seen as a parent for its apprentice, which is an NMT based sequence-to-sequence model. The effect of different parenting styles on the creative output of each pair is in the focus of this study. This approach brings a novel view point to computational social creativity, which has mainly focused in the past on computationally creative agents being on a socially equal level, whereas our approach studies the phenomenon in the context of a social hierarchy.