Miracle-dz/UniFAR-FTUs huggingface dataset:
PERSONAL HEALTHCARE MANAGEMENT FOR MAIDEN DETECTION OF ILLNESS USING MOBILE OS

This mobile application is used for maintaining personal healthcare details and to detect the health problems using the data given by the user. The data given can be updated frequently whenever necessary. The alert message will be given to the user as notification when there is a sudden change in their health. It consists of user and doctor registration as well as conversation between them. The doctor with specialist in a particular domain can view the report of the patients and can notify them that there was a serious problem may occur in future through the message. If the user needs to take any treatment they can intimate through the message to the doctor at particular domain. The percentage of getting the chance of health problems can be identified at the initial stage by providing the details like their blood pressure, cholesterol level, age, weight loss, any pain etc. In this application the user can calculate the chance of getting the health problems in the domain like heart problem, diabetes and cancer. According to the problem the nearest hospital with particular domain for the required problem is identified with respect to the location of the user using GPS of the android mobile through the Google map.
Assimilation of Doppler Radar Observations with a Regional 3DVAR System: Impact of Doppler Velocities on Forecasts of a Heavy Rainfall Case

Abstract In this paper, the impact of Doppler radar radial velocity on the prediction of a heavy rainfall event is examined. The three-dimensional variational data assimilation (3DVAR) system for use with the fifth-generation Pennsylvania State University–NCAR Mesoscale Model (MM5) is further developed to enable the assimilation of radial velocity observations. Doppler velocities from the Korean Jindo radar are assimilated into MM5 using the 3DVAR system for a heavy rainfall case that occurred on 10 June 2002. The results show that the assimilation of Doppler velocities has a positive impact on the short-range prediction of heavy rainfall. The dynamic balance between atmospheric wind and thermodynamic fields, based on the Richardson equation, is introduced to the 3DVAR system. Vertical velocity (w) increments are included in the 3DVAR system to enable the assimilation of the vertical velocity component of the Doppler radial velocity observation. The forecast of the hydrometeor variables of cloud water (qc.
The Influence of Electrospinning Parameters and Drug Loading on Polyhydroxyalkanoate (PHA) Nanofibers for Drug Delivery

The impact of polymer concentration and drug loading on nanofiber morphology and diameter were investigated during electrospinning of polyhydroxyalkanoate nanofibrous films. Low molecular weight poly(3-hydroxybutyrate- co -4-hydroxybutyrate) [P(3HB- co -95 mol% 4HB)] required a 5-fold higher solution concentration than high molecular weight poly(3-hydroxybutyrate) [P(3HB)] to produce bead-free nanofibers. Loading the films with paclitaxel increased the initial polymer solution viscosity allowing larger diameter nanofibers to form. Furthermore, paclitaxel added at 1% (w/w) into 8 % (w/v) P(3HB- co -95 mol% 4HB) solution eliminated the formation of beads seen in solutions without the drug, at the same initial polymer solution concentration. In preliminary drug release studies, nanofiber mats consisting of large-diameter nanofibers with high drug loading released paclitaxel at a faster rate due to larger pore sizes. This was a consequence of the random packing of larger diameter nanofibers. However, the release pattern of nanofibers with low drug loading was much more consistent and controlled. Lastly, we have shown the potential applications of P(3HB- co -4HB) drug loaded nanofibers in the development of biocompatible drug eluting stents by directly coating a metal stent with a homogeneous layer of electrospun polymer.
Grid and Cloud Computing and Applications

GCA is an international conference that serves researchers, scholars, professionals, students, and academicians who are looking to both foster working relationships and gain access to the latest research results. The 2014 Congress was composed of research presentations, keynote lectures, invited presentations, tutorials, panel discussions, and poster presentations. Selected Topics: Cloud Computing, Analysis, and Performance Evaluation + Big Data, Cloud Computing and Grid - Related Issues, Cloud and Trust.
Study on Internet Traffic Classification Using Machine Learning

Internet traffic classification is one of the key foundations for research works and traffic engineering in Internet.The categories of Internet applications and the number of Internet flows increase fast last years.The technique challenges are coped with development of traffic classification all the time.A research was carried out systematically in Internet traffic classification using machine learning in the paper.A mathematical description was given for the technology of traffic classification first.After surveying the technology of traffic classification based on supervised learning and unsupervised learning,we commented on the data preprocessing,classification model and performance evaluation etc.three aspects,and indicated the shortages now in these studies.Then,four common issues were summarized,which are data skew,label bottleneck,attribute changing and classify timely respectively.At the end,the prospect and our going work in this area were pointed out.
The global unified parallel file system (GUPFS) project: FY 2003 activities and results

LBNL-52456 (2003) The Global Unified Parallel File System (GUPFS) Project: FY 2003 Activities and Results Gregory F. Butler (Project Lead), 1 William P. Baird, 1 Rei C. Lee, 1 Craig E. Tull, 1 Michael L. Welcome, 2 Cary L. Whitney 1 NERSC Center Division Computational Research Division Ernest Orlando Lawrence Berkeley National Laboratory Berkeley, CA 94720 April 23, 2004 This work was supported by the Director, Office of Science, Office of Advanced Scientific Computer Research, Mathematical, Information, and Computational Sciences Division, of the U.S. Department of Energy under Contract No. DE-AC03-76SF00098.
Japanese Candlestick Charting Techniques

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Survey Of GNSS Coordinates Systems

The use of satellite positioning systems to determine position in reference frame can introduce serious practical difficulties. The problem can be in the fields of navigation, map revision or cadastral surveying. It arises because in local area the local coordinate system were used. The problem can be solved by transformation between coordinates frame. Global navigation satellite systems (GNSS) don’t use same reference frame and it is important to know transformation between this systems. This paper works with information of many international organizations and their documents. It contains information about reference coordinate system of GNSS, information about local coordinates system used in North America, UK, and Europe.
Graphical User Interface Application for Digital Language Laboratory

The existence of a language laboratory for students has an important role in improving communication skills both in oral and in written. This research aims to implement a multimedia language laboratory system. This research has successfully implemented the prototype of a framework for networked audio. The audio framework is built as an audio application server that delivers audio traffic between computers. This paper will describe the next step of the research that is to design and implement Graphical User Interface (GUI) application for the language lab. The GUI application will be used by teachers and students to interact during teaching and learning process.
Design of Low Noise Amplifiers through Flow-Graphs and their Optimization by the Simulated Annealing Technique

This chapter presents the optimal design of Low Noise Amplifiers (LNAs). The basic idea consists of optimizing performances of LNAs by a direct action on the scattering parameters. A symbolic approach, namely the Coates Flow-Graph technique, is used to automatically generate symbolic expressions of the impedance parameters and, thus, those of the scattering parameters. The Simulated Annealing optimization technique is applied to determine the optimal sizing of the LNA. ADS simulation results are given to show the viability of the proposed approach.
Adaptive measurement-based traffic engineering in packet-switched radio access networks

In this research, we propose a framework for measurement-based traffic engineering and connection admission control in radio access networks based on the Internet Protocol (IP). This framework is evaluated by simulation using the popular network simulator ns-2. The framework is adaptive to changes in the network load and can distinguish between different types of service. All traffic engineering decisions are made by edge routers (ER) at the rim of the network domain. Multiple disjoint paths are configured between those ERs. Network state information is gathered in two different fashions. We evaluate a scheme based on the states of the queues on each alternative path and a scheme based on end-to-end probe packet transmission characteristics on each alternative path. Both schemes are compared to a shortest path first (SPF) routing approach.
Effective hybrid collaborative filtering algorithm for alleviating data sparsity

Collaborative filtering has been successfully applied to various recommendation systems.Unfortunately,with the tremendous growth in the amount of items and users,the lack of original rating poses some key challenges for recommendation quality.To address this problem,the paper explored a new hybrid CF approach which improved the traditional similarity coefficient computation combining the portal website natural structure,then the missing preference values were predicted with new similarity based on the item-based CF.The improvements made an increasing intercross of the rating matrix for alleviating sparsity.The experimental results show the proposed algorithm outperforms the traditional CF,and it can recommend potential preference pages for visitors.
Emergence of trait variability through the lens of nitrogen assimilation in Prochlorococcus

Intraspecific trait variability has important consequences for the function and stability of marine ecosystems. The marine cyanobacterium Prochlorococcus is a useful model system for understanding how trait variability emerges within microbial species: Its functional diversity is overlaid on measurable environmental gradients, providing a powerful lens into large-scale evolutionary processes. Here we examine variation in the ability to use nitrate across hundreds of Prochlorococcus genomes to better understand the modes of evolution influencing the allocation of ecologically important functions within microbial species. We find that nitrate assimilation genes are absent in basal lineages of Prochlorococcus but occur at an intermediate frequency that is randomly distributed within recently emerged clades. The distribution of nitrate assimilation genes within clades appears largely governed by vertical inheritance, stochastic gene loss, and homologous recombination among closely related cells. By mapping this process onto a model of Prochlorococcus’ macroevolution, we propose that niche-constructing adaptive radiations and subsequent niche partitioning set the stage for loss of nitrate assimilation genes from basal lineages as they specialized to lower light levels. Retention of these genes in recently emerged lineages has likely been facilitated by selection as they sequentially partitioned into niches where nitrate assimilation conferred a fitness benefit.
Law Enforcement Implementation against Rice Mixing Crime in Jakarta and Surrounding Areas

High demand for rice in the community has created an opportunity for rice business actors to manipulate the price, quality, and provision method of rice. The shift in consumer behavior from consuming moderate-quality rice to high-quality rice has been used as an opportunity by traders who are ill-prepared to cope with the quality demand and resort to rice mixing fraud to gain more profit. This unfair business practice is rampant due to weak supervision and inadequate law enforcement. The scope of this study is to analyze the implementation of law enforcement by the Sub-Directorate of Trading and Industrial Crime Investigation and also to analyze the factors that affect the law enforcement against rice mixing crime in Jakarta and the surrounding area. Utilizing a qualitative approach, our research focuses on rice mixing investigation activities in 2016, with primary and secondary data collected through in-depth interviews, participatory observation, and document review. Source triangulation was applied to test the collected data. The results revealed that the implementation of law enforcement against rice mixing crime is not optimal and does not create a visible impact in society. To enforce the law, the police levy criminal sanctions on the perpetrators of rice mixing crime who use chemicals that can endanger the health of the consumers and provide education to increase awareness for those who do not use hazardous chemicals. Moreover, constraints faced by the police in enforcing the law include rejection of the regulation by the trader community, unintegrated law enforcement, limited facilities, and misperceptions among the trader community that justify deviations as well cultural misperception of the society on rice quality. We hope this study will contribute to the efficacy of law enforcement related to rice mixing crime.
Developing Visual Editors for High-Resolution Haptic Patterns

In this article we give an overview of our iterative work in developing visual editors for creating high resolution haptic patterns to be used in wearable, haptic feedback devices. During the past four years we have found the need to address the question of how to represent, construct and edit high resolution haptic patterns so that they translate naturally to the user’s haptic experience. To solve this question we have developed and tested several visual editors
Speech and Noise Recognition System by Neural Network

This paper proposes the speech and noise recognition system by using a neural network in order to detect the speech and noise sections at each frame. The proposed neural network consists of a layered neural network training by back-propagation algorithm. First, a power spectrum obtained by fast Fourier transform and linear predictive coefficients are used as the input to the neural network for each frame, then the neural network is trained using these power spectrum and linear predictive coefficients. Therefore, the proposed neural network can train using clean speech and noise. The performance of the proposed recognition system was evaluated based on the recognition rate using various speeches and white, printer, road, and car noises. In this experiment, the recognition rates were 92% or more for such speech and noise when training data and evaluation data were the different.
Assessment of patient information needs: A systematic review of measures

Background Providing patient information is a central aspect of patient-centered care. Fulfilling personal information needs has positive effects on several health-related outcomes. Measurement instruments help to identify individual information needs in an effective way. The present study gives an overview of existing information needs measures and further evaluates the quality of their psychometric properties and their psychometric studies. Methods We conducted a systematic search on psychometric studies of measures that assess information needs in PubMed and Embase. Furthermore, we carried out a secondary search with reference and citation tracking of the included articles. Title, abstracts and full texts were screened by two independent reviewers for eligibility. We extracted data on content of the measures, validation samples and psychometric properties. In addition we rated the methodological quality with the COSMIN checklist and the quality of psychometric properties with the criteria of Terwee and colleagues. Results 24 studies on 21 measures were included. Most instruments assessed information needs of patients with cancer or cardiac diseases. The majority of the instruments were in English language and from western countries. Most studies included information on internal consistency and content validity. The ratings showed mixed results with clear deficiencies in the methodological quality of most studies. Discussion This is the first systematic review that summarized the existing evidence on measures on patient information needs using two instruments for a systematic quality assessment. The results show a need for more psychometric studies on existing measures. In addition, reporting on psychometric studies needs to be improved to be able to evaluate the reliability of the psychometric properties. Furthermore, we were not able to identify any measures on information needs for some frequent chronic diseases. Other methods to elicit information needs (e.g. open-ended interviews, question prompt sheets) could be considered as alternatives if sound measures are missing.
Calcific tendinopathy of the shoulder: clinical perspectives into the mechanisms, pathogenesis, and treatment

Calcific tendinopathy (CT) of the shoulder is a common, painful condition characterized by the presence of calcium deposits in the rotator cuff tendons. Current theories indicate that CT may be the result of a cell-mediated process in which, after a stage of calcium deposition, calcifications are spontaneously resorbed. However, in a minority of cases, this self-healing process is somehow disrupted, resulting in symptoms. Recent literature shows an emerging role of biological and genetic factors underlying CT. This new evidence could supplement the classic mechanical theory of rotator cuff tendinopathy complicated by calcium precipitation, and it may also explain why the majority of the therapies currently in use are only able to provide partially satisfactory outcomes. This review aims to summarize the current knowledge about the pathological processes underlying CT of the shoulder and thereby justify the quest for advanced biological treatments of this condition when it becomes symptomatic.
THE ACQUISITION OF ADDITIONAL LANGUAGES

Going beyond second language acquisition to the acquisition of additional languages (AAL) is very common for many people all over the world. AAL is more common in bilingual and multilingual contexts, in which, due to historical or political reasons, two or more languages are used, but it is also common in the case of individuals who need to communicate in several languages and in schools where two or more foreign languages are taught. In spite of this, most studies on second language acquisition just focus on one target language, and do not pay any attention to the other languages already acquired or being acquired by the learners. In the last years, an important effort has been made to fill in this gap and there is a growing body of research into the acquisition of additional languages (mainly third language acquisition) and multilingualism. Research on AAL has been reported in a number of recent publications (see references below), the publication of a specialized journal The International Journal of Multilingualism (Routledge) and at international conferences devoted to research on third language acquisition and multilingualism (Innsbruck, Austria [1999]; Ljouwert/ Leeuwarden, Holland [2001]; Tralee, Ireland [2003]; Fribourgh-Biel, Switzerland [2005]; Stirling, Scotland [2007], and Bolzano, Italy [2009]). The main issue discussed in this research is the identification of the characteristics that distinguish third language acquisition and multilingualism from second language acquisition and bilingualism. AAL Estudios de
Recent advances in gibberellin biosynthesis

Regulation of gibberellin (GA) biosynthesis by endogenous and environmental stimuli is an important factor in the control of plant morphogensis. Recent advances in the molecular biology of GA biosynthesis is enabling these processes to be examined at the molecular level. The biosynthetic pathway to biologically active GAs requires the action of diterpene cyclases, cytochrome P450-dependent mono-oxygenases and 2-oxoglutarate-dependent dioxygenases. The genes or cDNAs for many of these biosynthetic enzymes have now been cloned from several different species. The dioxygenases include GA 20-oxidase, 3β-hydroxylase and 2β-hydroxylase; the first catalyses the removal of carbon-20, the second catalyses the final step in the production of the growth-active hormones, which can be deactivated by the 2β-hydroxylases. The GA 20-oxidases, and probably also 3β-hydroxylases, are encoded by small multigene families, members of which have been shown to be expressed in a developmentally and spacially specific manner. Furthermore, there is evidence for rapid down-regulation of the expression of these genes by GA in a type of feedback control. Gibberellin 20-oxidase gene expression is also regulated by photoperiod in at least some long-day plant species. As a regulatory enzyme, GA 20-oxidase is being investigated as a target for genetic manipulation of GA biosynthesis. Results with model species indicate that considerable changes in GA content and plant morphology can be obtained by overexpressing GA 20-oxidase genes or reducing their expression by introducing anti-sense DNA sequences.
Reconstructing Experimental Data from Video Records for Film over a Spinning Disk

New non-invasive method to obtain quantitative information about wave regimes from recorded videos has been developed and utilized on numerous video sequences. The videos were recorded using an experimental set-up with a spinning disk whose rotational speed as well as flow rate of water pouring onto a disk were controlled. Particular attention was paid to stationary spiral waves observed on the film surface at relatively large flow rates. Analysis of numerous videos allowed us to conclude that the observed spiral waves are approximated by the Archimedean spirals whose coefficients depend on the Eckman number. Experimental results are in a good agreement with numerical results obtained from a new evolution model describing film flow over a spinning disk.