Reviewerly/exHarmony huggingface dataset:
Sistem Layanan Kesehatan Terpadu Home Care Digital Medic dan Wearable Device Monitoring System

One of the uses of information technology (IT) in the health sector which is a trend in global health servicesis a digital-based service system. The digital medic home care is a health system that will make it easier for everyonewhen needing health services to get easy, safe, appropriate and professional health services through the use ofinformation technology. Digital Medic home care consists of a mobile home care application system and a digitalpatient health record system (Electronic Health Record / EHR) accordingly (UU ITE No. 11 2008) and additionalwearable health monitoring ECG sensors. This integrated service system forms a technology-based health systemsolution that is integrated in home care services and supports the application of technology in hospitals (medicalrecords). This technology-based health system supports the Kepmenkes No. 004 to improve and provide quality patient services(Law Number 4 of 2009 hospital systems). Integrated Service Implementation Homecare Digital aims to accelerateaccess to hospital stakeholders, both health services, medical records, doctors, nurses and administrative services forthe best services for patients, which will be developed in hospital-level information systems.Market segmentation and target users of this home care integrated service product are all smartphone users inIndonesia who come from various walks of life. Product services can also be used by stakeholders with an interest inthe health sector both from the private sector and the city and local governments through the Health office, hospitals,health centers, home care clinics, public clinics and medical devices companies.
Research Guides: Introduction to eBooks: How to Find eBooks

This guide includes links to the Carl B.'s eBook collections and answers to eBook frequently asked questions.
A Neural Markovian Multiresolution Image Labeling Algorithm

This paper describes the results of formally evaluating the MCV (Markov concurrent vision) image labeling algorithm which is a (semi-) hierarchical algorithm commencing with a partition made up of single pixel regions and merging regions or subsets of regions using a Markov random field (MRF) image model. It is an example of a general approach to computer vision called concurrent vision in which the operations of image segmentation and image classification are carried out concurrently. While many image labeling algorithms output a single partition, or segmentation, the MCV algorithm outputs a sequence of partitions and this more elaborate structure may provide information that is valuable for higher level vision systems. With certain types of MRF the component of the system for image evaluation can be implemented as a hardwired feed forward neural network. While being applicable to images (i.e. 2D signals), the algorithm is equally applicable to 1D signals (e.g. speech) or 3D signals (e.g. video sequences) (though its performance in such domains remains to be tested). The algorithm is assessed using subjective and objective criteria with very good results.
On-site Information Findability: Towards an integrative view

A major component of the internet are websites which each have their information architecture, but more importantly, findability. This thesis focusses on the topic of findability, which is defined ...
XLM-RoBERTa event relations recognition

Event relations recognition models for the Polish language, based on the XLM-RoBERTa language model.
Teaching and learning chemistry using smartphones

Learning in chemistry can indeed be quite difficult and a challenging task as the subject involves creating knowledge about abstract and complex concepts. In this regard, mobile devices became an integral part of the student of the 21st century serving several functions ranging from digital cameras to mobile tablets, from cell phones to mp3 players. These and many more functions of mobile phones are regarded as suitable and could assist learners when properly utilized. To some extent, it is considered that educating matured students without the use of smartphones is similar to educating a doctor without a scalpel. In view of this, the study utilized secondary data from a peer-reviewed and referenced journal articles, conference proceedings and well-authored books from different data-base including scopus, web of science, google scholar, science direct, academia.com etc. A total of fourty-one articles were selected and critically studied. Based on these studies, concepts were defined and described on how a smartphone is considered suitable to make the learning environment conducive and passionate for students as there are various applications found to support their learning of chemistry. The paper also discusses how leaning mobility and access to technology outside the schools could be enhanced using technology. Using smartphones in university and colleges, as instructional pedagogy was also part of the discourse in this paper. Some limitations for full integration of smartphones in learning chemistry such as of lack skills, technical issue and teachers’ anxiety were part of the limitations outlined by the paper. The paper finally concludes that, although PCs are the most widely used computer technology with far-reaching meaning nowadays, the use of mobile phone technology is now increasing more rapidly than the PC and, in the future, it tends to restructure traditional classroom systems.
Impact of Training and Development and Supervision Support on Organizational Effectiveness

The current study explores the effect of training and development and supervisor support on organizational effectiveness. The main focus of the study is to clarify that how effectively telecom sector of Pakistan can achieve it intended outcomes, through training and development and supervisor support. A survey structure was used to gather data from 2017 employees working at the Telecom Center. Both descriptive and inferential statistical methods were the basis for the results. A positive relationship between training and development and organisational support is determined by the results of the study, although similar positive relationships have also been identified between supervisory support and organisational support.
“OK Google, vad kan du göra?” : En undersökning av sambandet mellan mentala modeller och användning av röstgränssnitt

Research relating to VUIs (voice user interface) such as voice assistants like Siri, Google Home, and Alexa has mostly been focused on general usage, error handling, and privacy concerns. This stud ...
Learning Manifold Implicitly via Explicit Heat-Kernel Learning

Manifold learning is a fundamental problem in machine learning with numerous applications. Most of the existing methods directly learn the low-dimensional embedding of the data in some high-dimensional space, and usually lack the flexibility of being directly applicable to down-stream applications. In this paper, we propose the concept of implicit manifold learning, where manifold information is implicitly obtained by learning the associated kernel. A kernel is the solution of the corresponding equation, which describes how heat transfers on the manifold, thus containing ample geometric information of the manifold. We provide both practical algorithm and theoretical analysis of our framework. The learned kernel can be applied to various kernel-based machine learning models, including deep generative models (DGM) for data generation and Stein Variational Gradient Descent for Bayesian inference. Extensive experiments show that our framework can achieve state-of-the-art results compared to existing methods for the two tasks.
LibGuides: ENG102, Part I - MCCC Library resources, Searching and Databases: Accessing the library's web resources

Covering effective computer searching for locating academic resources using the MCCC Library’s online databases
Geological Setting and Solid Mineral Potentials of Southern Borno, Northeastern Nigeria

This research work has principally succeeded in updating the geological map of Southern Borno and brought out zeolite as one of the prominent solid minerals to work on. The field mapping of the area constituting of Askira Uba, Bayo, Biu, Chibok, Damboa, Gwoza, Hawul, KwayaKusar, and ShaniLocal Government Areas indicate the occurrence of basement and sedimentary rocks. The crystalline rocks comprises of migmatites, gneisses, granites and basaltic rocks, dominantly occurring in Gwoza, AskiraUba, Chibok, Biu and Hawul, whereas the sedimentary formations cover KwayaKusar, Shani, Bayo and Damboa with outcrops of Cretaceous-Quaternary sediments comprising Bima Formation, Gongila Formation, Fika Shales, Gombe Sandstone, Kerri Kerri Formation and Chad Formation. Mineralogical evaluation of the Basement Complex rocks indicate the occurrences of feldspars, quartz, micas and ornamental stones, with the basalts chiefly hosting zeolite and quality gemstones (aquamarine, corundum, amethyst, tourmaline and topaz). The zeolites are typical of chabazite variety mostly developing from feldspathoid associated with mafic igneous/basic volcanic rocks. The Cretaceous-Quaternary sediments present quality clays, kaolinite, diatomite, trona and bentonite industrial minerals.
SWOT analysis of information security management system ISO 27001

Information security is a main concern for many organisations with no signs of decreasing urgency in the coming years. To address this a structured approach is required, with the ISO 27000 series being one of the most popular practices for managing Information Security. In this work, we used a combination of qualitative research methods to conduct a SWOT analysis on the ISMS. The findings from the SWOT were then validated using a survey instrument. Finally, the results were validated and analysed using statistical methods. Our findings show that there was a generally positive view on the 'Strengths' and 'Opportunities' compared to that of 'Weaknesses' and 'Threats'. We identified statistically significant differences in the perception of 'Strengths' and 'Opportunities' across groups but also found that there is no significant variance in the perception of 'Threats'. The SWOT produced will help practitioners and researchers tailor ways to enhance ISMS using existing techniques such as TOWS matrix.
Usability Analysis of University Websites in Pakistan

Usability analysis of a website determines how easy it is for the user to navigate between the pages, find information of interest, and his overall experience of the usage. Good website design is focused on the user experience. Usability is one of the major factors deciding the product's value. It can decide what value the product holds for its user hence the importance of website usability cannot be ignored. In this research, we have used different, manual, and automated heuristic evaluation methods to determine the usability of different Pakistani University websites. Our main goal is to provide some insight on the usability of these University websites as no such work has been done in the past on this. We evaluate a system based on heuristic evaluation and usability standards to measure its score. We also conducted an online survey on University students to get their feedback on their University website. We concluded that the user experience of most of the University websites in Pakistan fails from the usability perspective and students usually have to face a hard time finding the relevant information.
Protecting quantum systems from decoherence with unitary operations

Decoherence is a fundamental obstacle to the implementation of large-scale and low-noise quantum information processing devices. In this work, we suggest an approach for suppressing errors by employing pre-processing and post-processing unitary operations, which precede and follow the action of a decoherence channel. In contrast to quantum error correction and measurement-based methods, the suggested approach relies on specifically designed unitary operators for a particular state without the need in ancillary qubits or post-selection procedures. We consider the case of decoherence channels acting on a single qubit belonging to a many-qubit state. Pre-processing and post-processing operators can be either individual, that is acting on the qubit effected by the decoherence channel only, or collective, that is acting on the whole multi-qubit state. We give a classification of possible strategies for the protection scheme, analyze them, and derive expressions for the optimal unitary operators providing the maximal value of the fidelity regarding initial and final states. Specifically, we demonstrate the equivalence of the schemes where one of the unitary operations is individual while the other is collective. We then consider the realization of our approach for the basic decoherence models, which include single-qubit depolarizing, dephasing, and amplitude damping channels. We also demonstrate that the decoherence robustness of multi-qubit states for these decoherence models is determined by the entropy of the reduced state of the qubit undergoing the decoherence channel.
It Takes a Village: Community Based Participatory Research as a Design Research Tool

Design has transitioned progressively from a consumer-focused discipline to a human-centred one, with a more complex agenda. Design thinking has been successfully deployed as an agent for social change. In this paper we take a trans-disciplinary approach to social design in remote villages of Uttarakhand, India. Lack of employment opportunities and tough sustenance in the mountainous regions of India has led to mass migration and ghost villages. Recent interventions at the micro level, born from a participatory approach rather than the top down structure of government development schemes, have been seen to be more effective in tackling this complex socio-economic issue. Community based participatory research has been deployed previously in areas like public health and primary education successfully. With this paper we reflect on the viability of using it to identify areas of effective design intervention, not just to address current issues faced by the residents of remote villages in the Himalayas but also to encourage future social entrepreneurs. We worked in a group of Himalayan villages in collaboration with local government agents as part of a month long design education module. Design students and development professionals teamed up with residents, using methods like transect walks, socio-cultural mapping of health, water and sanitation, education, leadership, mobility, skill and vulnerability and co-design activities. Analysis led to a deeper understanding of social structure, education, resource equity, power dynamics, flow of information, drudgery, vulnerability and potential areas for social entrepreneurs. An iterative model of exploration, analysis, design proposition and refinement was followed to identify challenges faced by residents and areas of possible design intervention.
Cognitive Way Of Thinking In Teaching To Figure Out Physics Problems

Nowadays education tends to take into consideration student's personality, his/her individual features and interests. Professors and teachers should elaborate individual ways to develop each student. That is why the most valuable part of educational process is the technologies which take into consideration individual features and abilities of students. This article is focused on experimental approbation of one part of integrative and differentiated educational approach - style technology. The authors determine methods distinguishing cognitive styles of thinking, which have approximately the same result. They show the examples of reformulating the problems adapted to the cognitive ways of thinking. The findings show that the successful figure out of a problem depends on the way the problem was formulated for the students. The problems which are adapted to a cognitive style of thinking of each student are figured out more successfully. The results of the tests confirm that the successful figure out of physics problems depends on cognitive styles of thinking of the students since people with different cognitive styles perceive the text of a task in different ways.
Adaptive Control for Evolutionary Robotics: And its effect on learning directed locomotion

This thesis is motivated by evolutionary robot systems where robot bodies and brains evolve simultaneously. In such a robot system, `birth' must be followed by `infant learning' by a learning method that works for various morphologies evolution may produce. Here we address the task of directed locomotion in modular robots with controllers based on Central Pattern Generators. We present a bio-inspired adaptive feedback mechanism that uses a forward model and an inverse model that can be learned on-the-fly. We compare two versions (a simple and a sophisticated one) of this concept to a traditional (open-loop) controller using Bayesian Optimization as a learning algorithm. The experimental results show that the sophisticated version outperforms the simple one and the traditional controller. It leads to improvement in performance and more robust controllers that cope better with noise.
Mapping CAMP formations of the northern flank of Tindouf Basin by integrating remotely sensed data, geochemistry and field observations

The Central Atlantic Magmatic Province (CAMP) is a major Large Igneous Province. Its formation coincides with the breakup of Pangea and the first opening stages of the central Atlantic Ocean. The CAMP consists of mafic rocks, often in the form of sills, dikes, and lava flows, which are spread across four continents (Africa, North America, South America, and Europe). The Algerian CAMP appears in the southwestern Paleozoic Bechar, Tindouf, Hank, and Taoudeni basins, where the magma is intruded within the Paleozoic sedimentary series in the form of giant sills and km-long dikes. The CAMP formations in western Africa are classically subdivided into four stratigraphic units (lower, intermediate, upper, and recurrent); however, only the upper and recurrent units were recognized by previous work in the Tindouf Basin. These two units are geochemically and petrographically well studied, but their spatial distribution and emplacement mode are still unknown. This study maps CAMP units within the northern flank of the Tindouf Basin by integrating geochemical and remote sensing data. As a first step, basic remote sensing techniques such as color composites and ratioing were applied to Landsat 8 images to locate the different CAMP outcrops in the study area. Then, a field expedition was performed to validate preliminary results and collect samples for geochemical and petrographic analysis. The field and laboratory observations show the existence of three different doleritic units: upper, recurrent, and plug-like intrusion units. This last unit contains a high concentration of sulfides (pyrite, chalcopyrite, and sphalerite) that could be of economic interest. The analysis of the combined geochemical results and reflectance values shows a strong concordance between the mineralogical composition and the spectral response of samples. The reflectance variation of CAMP units is widely controlled by iron, magnesium, and calcium oxides. Thus, advanced image processing techniques were applied on Landsat 8 and Sentinel 2A images. Furthermore, the analysis of the spatial distribution of these units, linked to the formation type (sill, dike, or intrusion) and the stratigraphic level (Devonian or Carboniferous), may provide insight to understand the emplacement mechanism and ore potential.
Traces of the Past : XRF analysis of soils samples from a medieval churchyard in Sigtuna, Sweden

Sigtuna is one of the first settlements in Sweden considered to be a proper town. Taking over Birka´s function as a central trading hub when it was founded in the late 10th century AD, Sigtuna was ...
LibGuides: COMM-105 Speech Sources: Home

This guide serves as a jumping off point for COMM-105 students who are researching and preparing to give an Informative Meeting Speech or a Speech to Actuate. For more help, contact your friendly neighborhood librarian!
Experimental Assessment of Beam Search Algorithm for Improvement in Image Caption Generation

ABSTRACTOne of the biggest problems faced regarding images in various fields is the generation of meaningful description for the image i.e. caption for the image. The images are being used for numerous purposes with major on the web however they had to spend a great share of their time to generate a proper and accurate description for the image. This makes it very complex as the machine has to learn from the datasets and then describe the objects, activities and the places. The fact that humans can do it quite easily for small sets but fail when the number of images is more. This make it a rather interesting challenge for deep learning algorithms. The applied approach for the image caption generation would be based on long-short-term memory networks (LSTM) and recurrent neural networks (RNN). Such network model allows to select the next word of the sequence in a better manner. In this paper, Python is used to form this caption generating platform with the help of TensorFlow library which can easily generate the LSTM model for a given images. In this research work, machines are trained by deep learning approach. To improve the efficiency of the caption generation, the training has to be quite deep with more sample images. Additionally, detailed analysis is done on the improvement which can be brought to implement by including Beam Search in it.
On the classification of two-qubit group orbits and the use of coarse-grained 'shape' as a superselection property

Recently a complete set of entropic conditions has been derived for the interconversion structure of states under quantum operations that respect a specified symmetry action, however the core structure of these conditions is still only partially understood. Here we develop a coarse-grained description with the aim of shedding light on both the structure and the complexity of this general problem. Specifically, we consider the degree to which one can associate a basic `shape' property to a quantum state or channel that captures coarse-grained data either for state interconversion or for the use of a state within a simulation protocol. We provide a complete solution for the two-qubit case under the rotation group, give analysis for the more general case and discuss possible extensions of the approach.
Low‐complexity architecture for AR(1) inference

In this Letter, the authors propose a low-complexity estimator for the correlation coefficient based on the signed process. The introduced approximation is suitable for implementation in low-power hardware architectures. Monte Carlo simulations reveal that the proposed estimator performs comparably to the competing methods in the literature with maximum error in order of . However, the hardware implementation of the introduced method presents considerable advantages in several relevant metrics, offering more than 95% reduction in dynamic power and doubling the maximum operating frequency when compared to the reference method.