Reviewerly/exHarmony huggingface dataset:
Make Search Easy

There is a tremendous increase in the number of files and their transaction within the mobiles across the world. One has to report and maintain all the work through documentation. It gets difficult for the peoples to maintain and search through these files. This paper presents an approach to design a file manager integrated with the power of advanced search enabling the user to go through multiple files within the android through filtering them. Make Search Easy is a simple application like a file manager but has a powerful search and filtering option. The main feature which makes this application stand out in many other applications is its advanced search option. The user can search for a required letter, word, line or a paragraph within a document without actually knowing the location of a document within a directory or entire phone memory. Making it easy for the user to attend the search within the multiple files at the same time and through the easy way.
SISTEM PERINGATAN DINI ANTISIPASI KEJAHATAN DENGAN POLA GERAKAN TANGAN

This research aimed to create an early warning system to anticipate crime with the patterns of hand motion. This system consisted of Webcamp, Personal Computer, GSM Modem, GSM shield, Arduino uno, and alarm speaker. The webcamp detected input of a hand gesture that had been determined, if the pattern was recognized then the modem will automatically sent a short message to Shield GSM installed in the nearest police station and Arduino Uno would turned on the speaker as an alarm. The algorithms used to identify finger and hand gesture were image segmentation, finger and hand pose determination, and translation of finger position. Based on the trial results, the distance from the camera had an effect on the level accuracy of object detection. The maximum distance from the camera to the object was 2 m (meters).
Wynn, Thomas &amp; Frederick L. Coolidge (eds). Cognitive models in Palaeolithic archaeology. xi, 240 pp., maps, figs, tables, bibliogrs. Oxford: Univ. Press, 2017. £58.00 (cloth)

Journal of the Royal Anthropological InstituteVolume 25, Issue 2 p. 398-399 Book reviews Thomas Wynn & Frederick L. Coolidge (eds). Cognitive models in Palaeolithic archaeology. xi, 240 pp., maps, figs, tables, bibliogrs. Oxford: Univ. Press, 2017. £58.00 (cloth) Michael Walker, Michael Walker Murcia UniversitySearch for more papers by this author Michael Walker, Michael Walker Murcia UniversitySearch for more papers by this author First published: 29 April 2019 https://doi.org/10.1111/1467-9655.13042Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Volume25, Issue2June 2019Pages 398-399 RelatedInformation
Imaging the Oceanic Crust with Broadband Seismic and Pressure Data

Author(s): Doran, Adrian K | Advisor(s): Laske, Gabi | Abstract: The oceanic crust, the uppermost layer of the rigid oceanic lithosphere, has a well defined general architecture, but the magnitude and wavelength of heterogeneities in crustal structure remain poorly observed in detail. In this thesis, I have characterized the seismic structure of the marine sediments and crust surrounding the Hawaiian islands.I primarily analyzed seafloor compliance data, the deformation of the seafloor in response to infragravity wave loading. These long-period (50+ seconds) measurements are estimated from broadband ocean-bottom seismic data and are sensitive to the elastic structure of oceanic sediments and crust, particularly shear-velocity structure. I produced a map of sediment thickness and shear velocity, which includes high-velocity volcanic sediments and low-velocity pelagic sediments. I then used surface wave dispersion data to constrain the structure of the lower crust and the uppermost mantle beneath the Hawaiian Islands. Initial results indicate that the uppermost mantle may exhibit variations in shear velocity on the order of several percent. These variations could be explained through a combination of thermal anomalies and partial melting. Another focus of this thesis is the analysis of seafloor compliance data as a function of time to investigate melt content in the lower crust before and after the submarine eruption of 2015 at Axial Volcano. I found that Vs dropped dramatically following the eruption and took several years to recover to pre-eruption levels. The changes can be explained by variations in the geometry of melt. The station distribution also allowed me to constrain the lateral extent of the variations to within several hundred meters of the center of the caldera. In the course of these studies, I developed tools and theory to improve OBS data quality. I wrote automated software to determine the orientation of horizontal seismometer components using surface wave arrival angles, and spent considerable time characterizing the long-period response of differential pressure gauges. Finally, I demonstrated the viability of measuring horizontal seafloor compliance, although I was limited in my geologic interpretations due to instrument response issues and data quantity. The techniques and results developed in this thesis should provide insight into the dynamics of the oceanic lithosphere, including the mechanics of intraplate plumes and crustal accretion. These results will become more valuable as OBS instrumentation progresses and expands data coverage into the furthest reaches of the world's oceans.
P2‐119: A LINEAR MIXED MODEL ANALYSIS OF THE APOE4 GENE WITH THE LOGICAL MEMORY TEST TOTAL SCORE IN ALZHEIMER'S DISEASE

Linear mixed model (LMM) has the advantage of modeling the correlated data. Alzheimer's disease (AD) is a chronic neurogenerative disease that affects the brain of the subject. No study was found to study the longitudinal effect of apolipoprotein E epsilon 4 (APOE4) genotype on the logical memory test total score in AD. A longitudinal data of 844 with AD, 2167 with cognitive normal (CN), and 4472 with mild cognitive impairment (MCI) participants who underwent logical memory examination test in the Alzheimer's Disease Neuroimaging Initiative (ADNI) were investigated. Episodic memory of the study participants was monitored based on a short story told to the participants and then participants asked to recall what was told. The multivariate LMM was used to determine the longitudinal changes in the logical memory test total score adjusting for age and sex. The Akaike information criterion (AIC) statistic and the Bayesian information criterion (BIC) statistic were used to select the best covariance structure. The repeated measures longitudinal analysis was performed using PROC MIXED in SAS 9.4. Both AIC and BIC statistics favor the unstructured correlated structure (UN). Using a UN model in the LMM, the APOE gene was is significantly associated with logical memory test total score (p<0.0001). Furthermore, the individuals with 1 or 2 APOE 4 allele revealed lower logical memory score comparing with individuals without APOE4 allele. In conclusion, the PROC MIXED can accommodate any type of covariance structure; whereas model selection showed that the UN covariance structure is the best. This study provided the first evidence of the effect of APOE4 genotype on the logical memory related to AD.
JavaScript and Debugging

Up to this point, I have discussed how to install software and some of the important things you need to know when working with JavaScript. For the most part, JavaScript is something that you work with in the browser.
Bidirectional Associative Memories for Adaptive Rule Based Systems

In this paper we present an algorithm for rule based systems that uses Bidirectional Associative Memories (BAMs) to memorize the inputs their corresponding outputs, outputs their corresponding inputs of the system. Adaptive rule based system are becoming very important because rule based systems are now used in many applications. One drawback of current adaptive rule based systems is that these systems care only about forward chaining mechanism which diminish their performance. Because most of the applications that use rule based systems follow the forward chaining, adaption attempts which is concerned with predicting the inputs given the output is almost null, but this does not eliminate the importance of backward chaining since it is used in too many applications. To tackle this problem we propose a new algorithm that utilizes the good theoretical ground of BAMs to memorize adapt rules in rule based systems. The main difference between the proposed algorithm other algorithms is that the proposed algorithm is simple to code the rules adapt them. In addition, because BAMs supports bi-directions, the proposed algorithm is the only algorithm with adaptation that is able to expect what conditions should be true if we provide the system with outputs. The proposed algorithm considers and rules in the used rules, whereas in all the previous systems, only and relation is considered.  The proposed solution will be useful in adapting any rule based system whether it uses forward chaining or backward chaining, which is considered to be a significant contribution. The proposed algorithm has six parts; cod table creation, input output vectors construction, weight matrix calculation, procedure to test the system, procedure to run the proposed algorithm finally rule extraction or what we call rule code decoding. To illustrate parts of the proposed algorithm, a simple example is provided.
An Event Detection Method Based on Association Link Network

With the explosive growth of network data, it becomes more and more difficult to acquire and understand information quickly and accurately. Therefore, events discovery from a large amount of document is a very challenging problem. In this paper, we propose a method to detect events, a semantic community network is constructed by ALN (Association Link Network) firstly, and then we update the word node cluster based on WCC metric, and finally merge the communities by word co-occurrence similarity. The experimental results show that this method can complete the event detection well, and it can ensure that every document in an event cluster is describing the same topic.
Application Analysis of Mobile Learning Tools in Modern Distance Education

As a traditional education method that is different from face-to-face teaching, distance education has become an increasingly important educational method in today's society because of its convenience and flexibility.With the development of communication technology and intelligent device terminals, we have entered the information age, with the further improvement of the speed and effect of information dissemination, the way of distance education has increased more selectivity.Mobile learning tools are an important carrier for distance education activities, and have a good effect on distance education.This paper analyzes the characteristics of distance education and mobile learning tools, demonstrates the feasibility of mobile learning in modern education and the remote autonomous learning model based on mobile learning, and then expounds the mobile learning tools in modern remote Application scenarios in education.
ATTRIBUTE BASED PRIVACY PROTECTION ON CLOUD COMPUTING WITH AUDITING SCHEME

Cloud computing provides a variety of services to our present technical areas.It is useful for both consumers and businesses to use applications without access their personal files.Security is an inevitable element of our cloud service.So we should check that our service provider can provide the security for our data.But a number of high-profile hacking cases will lead to different types of security problems on cloud.It mainly occurs in multi users cloud computing areas Cloud security is important in every field of users.Everyone wants to provide their information safe and secure.For this purpose here we can use attribute based encryption that is a type of public key encryption.Attribute based encryption allows data owners and users to encrypt and decrypt based on the personal attributes.But a crucial security aspect of attribute based encryption is collusion resistance.So we propose an audit scheme which provides a type of privacy protection on users and prevent from unauthorized access from hackers.
Community Partnership Program (CPP/PKM) High School Teachers in Bandung City and District in E-Learning Based Data Collection Activities

The purpose of the Subject Teachers Consultation (STC/MGMP) will be if the teachers are skilled, accustomed and able to develop various activities that are able to support teacher competencies. One of the activities carried out was to participate in the Community Partnership Program (PKM) program development activities with LPTKs such as Pasundan University. The STC included in the Community Partnership Program (CPP/PKM) is the Bandung and City Mathematics STC. Problems with both partners are: (1) Some teachers do not know SPSS and its benefits in research, (2) Understanding of some teachers in collecting data according to the formulation of research problems is still lacking, (3) Some teachers do not know e-learning applications that use video conference. This problem has an impact on the inhibition of research and an increase in the rank of teachers. Approach methods used to overcome problems with training, mentoring, and mentoring. The two partners' solution-resolution procedures will be carried out by the team as follows: (1) Training, mentoring and mentoring in using SPSS features, (2) Training in using e-learning applications (3) Training, mentoring, and mentoring in collect data according to the formulation of research problems. CPP was attended by 14 Mathematics Teachers from the City of Bandung, and 17 Mathematics Teachers from Bandung Regency who were each from the Bandung City and Regency STC. The first meeting resulted in the following conclusions: (1) The quality of CPP in formulating problems, testing instruments, using SPSS features, and video conferencing conducted was very good, (2) The ability of teachers to understand, master, and train in making either test or non-test research instruments are in a pretty good category, (3) the teacher's ability to input data according to data or the scale of the data is in a good category, (4) The teacher's ability to use video conferencing to get guidance and assistance in doing the work is in good category.
AUTOMATED EXTRACTION OF LIVER OUTLINES FROM COMPUTED TOMOGRAPHY SCAN IMAGES USING A CUDA-BASED SEGMENTATION METHOD

Abstract. The traditional fast marching algorithm for segmentation of the liver is suitable for processing on the central processing unit (CPU) platform, however, it is not suitable for implementation on Graphics Processing Unit (GPU). The fuzzy connection algorithm is used to extract the blood vessels in the liver, but there is a calculation error. The refinement algorithm is very time consuming when extracting the target skeleton line from the 3D image. In this paper, the fast-marching algorithm and the thinning algorithm are improved, which can be applied to the GPU computing, The fuzzy algorithm is also improved, and the calculation error of the algorithm is solved, making it more suitable for medical image processing. The computing speed of GPU is far faster than CPU. Medical image processing is one of the earliest applications where the computing performance is improved by GPU. These three segmentation methods, fast marching method, fuzzy connecting method and refinement algorithm are very common in medical image segmentation. Because the increment of medical image data results in the extension of computing time for medical image processing, it is necessary to apply the high parallelism of the GPU to speed up these algorithms. The experiment results demonstrate the feasibility of our accelerating algorithm.
Aesthetic Education of Students in a Techical Unuversite in a Foreign Languages

This article describes the system of educational activities for those who are engaged in a foreign language, which is aimed at improving the moral education of students of a technical university.
Towards tile based distribution simulation in immersive video streaming

There has been increasing attention to virtual reality applications in recent years, especially to immersive or 360- degree videos that typically consume much more bandwidth than traditional ones. Though all produced data is transferred, only a small part (denoted as Field of View or viewport) is watched by users due to the nature of immersive videos. Obviously, this causes a large waste of network resources. Hence, it is important to define a viewport-dependent streaming transmission strategy by detecting where the user is gazing and the movement of the user’s head. Unfortunately, there are few datasets providing this information. In this paper, we propose a tile-based simulation approach to generate the distribution of the user’s behavior and to provide information that can be used to optimize future viewdependent streaming protocols. We first characterize the users’ viewport pattern from datasets gathered from real users by decomposing the 360-degree stream into tiles and analyzing the frequency and time-interval distribution for each tile. Then, we devise a hierarchical Markov model that incorporates the beta distribution of each tile time interval to predict tile transition. The results show that the simulation tool characterizes the tile sequences of users accurately, performing close to the empirical results.
Grow your ORCID ID: add information to your ORCID profile

There are three ways to add works to your ORCID record: link your work from another system; import a BibTeX file; manually type information about your works. The method you choose will depend on the kind of research outputs you have. If your output is mainly books and monographs that have not been included in the Scopus or Web of Knowledge databases, you may choose to bring information across from your Google Scholar profile or from your CentAUR record.
Estimates of reference evapotranspiration in the municipality of Ariquemes (RO) using neural networks GMDH-type

ABSTRACT Reference evapotranspiration is a climatological variable of great importance for water use dimensioning in irrigation methods. In order to contribute to the climatic understanding of Ariquemes, Rodônia state, Brazil, the study aims to model the behavior of the time series of reference evapotranspiration using a GMDH-type (Group Method of Data Handling) artificial neural network (ANN) and to compare it with the SARIMA (Seasonal Autoregressive Integrated Moving Average) methodology. Data from the National Institute of Meteorology - INMET, obtained at the Automatic Weather Station of Ariquemes, from January 2011 to January 2014, were used. Data analysis was performed using software R version 3.3.1 through the GMDH-type ANN package. Modeling by GMDH-type ANN led to results similar to the results of the SARIMA model, thus constituting an option to predict climatic time series. GMDH-type models with larger numbers of inputs and layers presented lowest mean square error.
CULTURAL AND EDUCATIONAL UNIVERSITY ENVIRONMENT AS AN IMPORTANT FACTOR OF PROMOTING PEDAGOGICAL CULTURE AMONG STUDENTS

The study analyzes main trends of multicultural education in the universities of Germany.Specif ically, the article considers the concepts of multiculturalism in pedagogy, reveals objectives and principles of multicultural education in higher educational establishments of Germany.It also discovers historical and social-economic aspects of progress of multicultural education in universities of Germany.Purpose.The article is targeted at analyzing current research trends of multicultural education in Germany and outlining the corresponding chronologic periods.Result.The study reveals the perspectives of possible implementation of positive experiences of multicultural education at German Universities into the Ukrainian system of Higher Education. Conclusion.The conducted research has allowed arriving at the conclusion that the signs of multiculturalism comprise promotion of humanization, democratization, internationalization, multilingualism, openness and accessibility of education.Furthermore, multiculturalism implies employing definite techniques of implementing the Bologna Declaration in the multicultural space of German universities.
Recommendations for optimizing the collective user experience

Traditional recommender systems aim to satisfy individual users by providing them with recommendations that match their preferences. Such recommender systems don't take into consideration how the number of users recommended to use a particular item affects the users' experience. For example, a highly-recommended restaurant may match the preferences of many users. However, increasing its popularity via recommendations may make the experience unsatisfactory due to high volume of customers, long lines and inevitably slow service. In this paper, we develop a new recommendation-system paradigm that we call collective recommendations. Collective recommendations take into consideration not only the user preferences, but also the effect of the popularity of a venue to the overall user experience. We formally define the algorithmic problems motivated by collective recommendations and develop an algorithmic framework for solving them effectively. Our experiments with real data demonstrate the effectiveness of our methods in practice.Nobody goes there any more. It's too crowded— Yogi Berra
Approaches to Composition in Visual Music: An Artist’s Reflection on Three Original Pieces

This article discusses the author’s visual music compositional practice in the context of similar work in this field. It specifically examines three pieces created between 2015 and 2017 that fused digital animation techniques with electronic sound. This approach contrasted with the author’s earlier compositions, which featured electroacoustic music and video concrète.
Binary Analysis using On-Demand Tabulation of Function Summaries

We address two main challenges of binary program analysis. First, writing an analysis for a specific CPU is not portable. Instead, the binary has to be translated into an IR. We present a DSL that offers built-in syntax for decoders and show how we compile it into naturally-looking C code. Secondly, a binary analysis needs to be scalable which can be achieved through modularity. However, modularity may lead to a precision loss. As a remedy, we present an algorithm that tabulates functions for certain properties of calling contexts on-demand.