The use of mobile technologies is reshaping how to teach and learn. In this paper the authors describe their research on these physics. On one hand they develop applications complement traditional learning help students learn anytime anywhere. has proved have very positive influence students' engagement. other hand, smartphones as measurement devices in physics experiments. This opens possibility designing developing low cost laboratories where expensive material can be substituted by...

ABSTRACT Background and Aims Syncope is a frequent reason for hospital emergency admissions, presenting significant challenges in determining its cause associated risks. Despite prevalence, research on using artificial intelligence (AI) to improve patient outcomes this context has been limited. The main objective of current study predict the severity syncope cases machine learning (ML) algorithms based data collected during on‐site treatment ambulance transportation. Methods This analyzed...

Stop word identification is one of the most important tasks for many text processing applications such as information retrieval. words occur too frequently in documents a collection and do not contribute significantly to determining context or about documents. These are worthless index terms should be removed during indexing well before querying by an retrieval system. In this paper, we propose automatic aggregated methodology based on term frequency, normalized inverse document frequency...

A simple experiment on the determination of coefficient restitution different materials is taken as basis an extendable work that can be done by students in autonomous way. On whole, described this paper would involve concepts kinematics, science, air drag and buoyancy, help to think physics a whole subject instead set of, more or less, isolated parts. The either teaching laboratories at home. Students' smartphones cheap balls are only experimental required do experiment. proposed also...

This paper describes several experiments performed by our research group to show the use of smartphones in physics teaching. We document work on development apps for and how recorded sensor data. As a final result, some interesting outcomes are obtained from surveys conducted students about these applications their mLearning experience general. These results that very interested using as complement more traditional learning. Finally, influence developed students' grades engagement was also...

The integration of artificial intelligence(AI) technologies into identity and access management (IAM) systems has greatly improved control management, offering more robust, adaptive, intelligent solutions than traditional methods. AI-driven IAM enhance security, operational efficiency, introduce new capabilities in industrial environments. In this narrative review, we present the state-of-the-art AI IAM, focusing on methods such as biometric, comprising facial voice recognition, multifactor...

Context has long been considered very useful to help the user assess actual relevance of a document. In web searching, context can page by showing how is related other pages in same site, for example. Such information difficult convey and visualize friendly way. this paper we present design, implementation evaluation graphical visualization tool aimed at helping users determine displaying structure site belongs to. The results an initial suggest that technique helps navigate large sites find...

The future of tele-conferencing is towards multi-party 3D Tele-Immersion (TI) and TI environments that can support realistic inter-personal communications virtual interaction among participants. In this paper, we address two important issues, pertinent to environments. paper focuses on techniques for the real-time, reconstruction moving humans from multiple Kinect devices. off-line generation real-life scenes visual data, captured by non-professional users also addressed. Experimental...

The exponential growth in information on the Internet, particularly within social networks, highlights importance of sentiment and opinion analysis. intrinsic characteristics Spanish language coupled with short length lack context messages media pose a challenge for analysis networks. In this study, we present hybrid deep learning model combining convolutional long short-term memory layers to detect polarity levels Twitter language. Our significantly improved accuracy existing approaches by...

Door access control systems are important to protect the security and integrity of physical spaces. Accuracy speed factors that govern their performance. In this paper, we investigate a novel approach identify users by measuring patterns interactions with doorknob via an embedded accelerometer gyroscope applying deep-learning-based algorithms these measurements. Our identification results obtained from 47 show accuracy 90.2%. When sex user is used as input feature, 89.8% in case male...

We present a new model to query document databases by content and structure. The main merits of the are: it allows rich structure in documents; algebra is intuitive (moreover, complemented visual language) powerful; efficiently implementable; can be built on top traditional indexing system or even with no index at all; strongly oriented user-definable relevance ranking instead boolean logic; flexible visualization results terms structure, contents highlighting user-defined important parts query.

New mobile devices are changing the habits and preferences of students instructors. In spite ever increasing market software utilities that appear everyday, relatively little is known about way use these tools in their study tasks. To alleviate this lack, a survey has been conducted with university trying to portray how they studying activities. As main result we see more than half some tasks different intensity, being smartphone preferred device. Some discrepancies have found when comparing...

The geographic scope of Web pages is becoming an essential dimension search, especially for mobile users. This paper shows a multistage method assigning focus to (GeoReferencing) according their text contents. We suggest several heuristics the disambiguation toponyms and scoring procedure determination. Furthermore, we provide experimental methodology evaluating accuracy. Finally, obtained promising results over 70% accuracy with city-level resolution.

Purpose This paper aims to present the concept of electronic work, such as an e‐book integrator concerns (logical structure, appearance and functionality), for representing literary texts available in heterogeneous environments. Design/methodology/approach From generic description descriptive requirements BiDiLiC project, work is presented. These involve a markup policy (based on TEI‐Lite) which defines text's logical structure used integrating other associated with text: functionality...

Abstract The Web search has special characteristics against the desktop when realized from mobile devices. To establish an improvement within this paradigm, option is to take into account context which developed. conceptualize context, we propose use of ontologies, will include device characteristics, environmental conditions and user preferences, among other term conceptualizations. This definition would be used determinate behavior a word recommendation searching As essential process...

Many document collections contain documents that have signiJicant structure. Structured retrieval requires diferent models and interfaces from standard information Retrieval. An Information Retrieval system dealing with structured has to enable a user query, browse retrieved documents, provide query refinement relevance feedback based not only on full but also specific parts of them, according their Currently, very few IR systems such level flexibility interaction, because limitations in...