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Copyright of Revista Colombiana de Gastroenterología is the property of Asociacion Colombiana de Gastroenterologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of DYNA - Ingeniería e Industria is the property of Publicaciones Dyna SL and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Española de Documentación Científica is the property of Consejo Superior de Investigaciones Cientificas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Tecnología y Ciencias del Agua is the property of Instituto Mexicano de Tecnologia del Agua (IMTA) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas is the property of Revista Nebrija de Linguistica Aplicada a la Ensenanza de Lenguas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The drying process of agro-industrial products such as kiwi, avocado, banana, kale, and red chili is described. Additionally, it proposes the design of a new control technique based on active disturbance rejection to regulate the temperature required for the dehydration of these products in a hybrid solar-LP gas tunnel-type dryer. The simulation results confirm the effectiveness of the control technique in regulating the temperature during the process. Furthermore, they demonstrate that the developed control not only ensures optimal plant operation but also mitigates the risks of rejecting batches of dried products due to non-compliance with quality specifications. [ABSTRACT FROM AUTHOR]

This paper presents a comparison between face-to-face and remote teaching of a university level course on automatic control systems. A set of learning activities is proposed to teach and evaluate the course. These activities aim to strengthen problem solving, teamwork, communication and self-learning skills. The activities were developed using the interactive learning applications: Matlab Grader, Matlab Live Scripts, Google Classroom, Google Meet and Google Docs. A survey applied to students who took the course face-to-face in 2019 and remotely during 2020 showed the advantages of the remote approach for most aspects of each of the skills mentioned. However, students perceived that their contribution to teamwork was greater when they were in a physical classroom. Course grades improved by an average of 10 % for the remote modality. [ABSTRACT FROM AUTHOR]

Background and Objectives: To establish the diagnostic accuracy of the computed tomography (CT) comparing the probability of COVID-19 pneumopathy, obtained through artificial intelligence (AI) system designed by Siemens Healthineers, and the qualitative evaluation CO-RADS (COVID-19 Reporting and Data System) with the reference standard (RT-PCR), and thus providing the experience of our institution. Methods: An observational, comparative and retrolective study was performed on 280 adult patients with suspected SARS-CoV2 infection, 192 of whom had PCR testing. Diagnostic accuracy information was obtained after comparing the reference standard (RT-PCR) with the CO-RADS performed by observers and the probability of COVID-19 yielded by CT images through AI software. Results: The comparison of COVID-19 probability acquired by AI vs. SARS CoV-2 RT-PCR generated an AUC ROC 0.774 (CI 0.69-0.81) with p = 0.0001. The COVID-19 probability had an acceptable accuracy, with a good PPV 87.80%, but with a poor NPV of 58.80%. The CO-RADS vs. RCP variable got a higher accuracy with much higher sensitivity and specificity values, reaching 91.80% and 88.7% respectively. Conclusion: The comparison between the results obtained by the AI and those referring to the CO-RADS variable showed greater effectiveness in the latter for patients with suspected COVID-19 however, it was possible to document the high impact of the automatic quantification system in the evaluation of these patients since it allows speeding up the radiologist's assessment and works as a complement in cases of diagnostic doubts. [ABSTRACT FROM AUTHOR]

Consumers are increasingly demanding with respect to the quality of the product they purchase, which at a business level means improving processes by adopting methodologies suitable for the management of information generated within the activities, which generates a large volume of data that is not easy to handle manually. Therefore, process mining takes a key role in the management of data in an optimal way, applied for automatic auditing of hazards and critical control points. This quality system, better known by its acronym HACCP, is a powerful tool to ensure product safety, hygiene and traceability. Normally, the analysis of the records is carried out at the auditor's discretion and by sampling due to the volume of data. For the management of this BIG DATA, there is process mining, a young discipline related to machine learning, data mining, modeling and process analysis. The present work aims to propose a method to apply process mining to improve the quality of automatic auditing of HACCP records in tuna companies. This research uses a qualitative methodology, with a survey of experts and research processes to collect information contributing to the importance of process mining in automatic auditing systems. A method is proposed to make process mining applicable for the automatic auditing of records on hazards and critical control points, which was validated with a case where all transactions were automatically analyzed. [ABSTRACT FROM AUTHOR]

The problem of designing and implementing the control logic of an automatic injection system, in continuous flow mode for two-piston pumps, was addressed, with the aim of increasing the productive time of a test unit for fluid displacement in a porous medium. The objective was the development of control system models that are understandable for the user and, at the same time, facilitate debugging and system modification avoiding the explosion in complexity of the models. In the first stage, a monolithic extended finite-state machine model was developed, in which all the components of the system, integrated by two-piston pumps and the injection and recharge valves associated with each one, are taken into account. Subsequently, a modular model was built from the monolithic model, consisting of a network of two extended finite-state machines, each associated with one of the pumps. This network was implemented to automatically control the injection system. Thanks to this approach models were obtained that enhance flexibility and readability to the system, which are aspects of great relevance in laboratory automation. [ABSTRACT FROM AUTHOR]

The present investigation describes a methodology of hazards and critical control points applying Process Mining, where the information was managed in order to optimize resources. Its objective is to apply Process Mining for the automatic discovery of the titling management workflow, allowing to improve process management by extracting knowledge from events registered in the information system, the Process Mining tools provided help, identifying events and showing in an animated way the processes that are executed, managing to restrict unwanted situations that congest the flow of information, in order to obtain an analysis of the data, models, observe data frequency and time. The methodology used was analytical and synthetic with a quantitative approach under experimentation using Celonis, Disco and Pro-M tools, they helped with the necessary resources for the good performance of process mining, as a result it was possible to obtain a reduction of events in hidden routines, as well as a greater flow of information by processes and the reduction of time, improving the effectiveness of event control and allowing to manage the flow of information by processes of degree management in the Information Technology Career. [ABSTRACT FROM AUTHOR]

Copyright of DYNA - Ingeniería e Industria is the property of Publicaciones Dyna SL and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Investigación Bibliotecológica is the property of UNAM, Centro Universitario de Investigaciones Bibliotecologicas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The enabling, commissioning and fine tuning of an automatic control system for the columnar flotation cells in the concentration plant at Atacama Kozan has been carried out, which aims to reduce the variability in the productive process and ensure a final product with properties and quality of constant sale. The initial survey or baseline for the original columnar cells design, current operative logic controllers, variability of the process, main faults and finally its influence on the quality of the final product or concentrate were carried out. It was observed that under original conditions the variability in the froth level was very high, which together to the variability in the mineral feed grade of the concentration plant affected directly the final concentrate quality (i.e. CuT grade). The proposed automatic control system included design, installation, enabling, commissioning and fine tuning of the programmable logic controllers for the concentrate froth level, injected air pressure and finally washing water flow for the concentrate froth. The design and installation were preliminarily carried out, then enabling was done during a scheduled maintenance and finally the commissioning and fine tuning were developed during the first three months of operation after restarting the concentration plant. Thus, at the end of the fine tuning cycle of the system a remarkable decrease in the variability of the process was observed, especially in the concentrate froth level allowing to obtain a concentration and quality of the final product more stable and permanent, respectively; independent of the properties associated to the mineral fed. [ABSTRACT FROM AUTHOR]

The present investigation will evaluate the impact of Mel Frequency Cepstral Coefficients (MFCC) and the Perceptual Linear Predictors (PLP) coefficients, in the word error rate (WER) of systems dedicated to Automatic Speech Recognition (ASR). The experimentation will be done with voice signals in Spanish language, in scenarios with unknown noise levels and using the Kaldi state of the art tool. The article concludes by providing evidence in favor of the MFCC as acoustic feature more robust in the task of ASR in noisy scenarios with respect to the PLP; also both features behave similarly in low noise scenarios and the impact of PLP in reducing the time spent by systems dedicated to ASR. [ABSTRACT FROM AUTHOR]

Keyword spotting is a subfield of automatic speech recognition revolutionized in the last decade with the incorporation of artificial intelligence techniques based on deep learning. The implementation of keyword spotting models in microcontrollers implies as a first step the digital processing of audio signals to carry out the feature extraction in real time. The models implemented in microcontrollers found in literature use MFCC coefficients for feature extraction. It has been proved that when using deep learning techniques for classification, it is more effective the use of Mel spectrograms. In this paper, it is proposed an implementation of the algorithm for the obtention of Mel spectrograms in real time in STM32 microcontrollers compatible with the design of a real time keyword spotting system. Its use is evaluated in a test system based on the STM32G474RET6 microcontroller and the MEMS microphone SPH0645LM4H-B. The proposed implementation reduces the use of RAM memory in the microcontroller and fills the existing gap in the CMSIS-DSP driver of a routine for the computation of the Mel spectrum for a vector of signal samples. [ABSTRACT FROM AUTHOR]

This article presents the results of the application of the automatic translator DeepL to the field of gastronomy and wine tourism. In today's world, where it is necessary to translate a large number of text in an ever shorter time, translations engines are a very useful tool that is increasingly used by professionals in the sector and by people in their daily lives. However, one of the limitations usually attributed to these engines is that they do not always achieve a valid translation of cultural elements or different linguistic connotations, especially when it comes to certain linguistic combinations. Through some examples taken from the official tourism portal of Spain, the performance of the DeepL engine, which is available on the market in its free version, is observed and evaluated. For our analysis we focus on the specific field of food and wine tourism and on the Spanish-Italian language combination, and we compare the Italian translation of some fragments published on the web with the translation made with DeepL, to highlight the differences and eventual inaccuracies after a human evaluation process. [ABSTRACT FROM AUTHOR]

Copyright of Procesamiento del Lenguaje Natural is the property of Sociedad Espanola para el Procesamiento del Lenguaje Natural and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of DYNA - Ingeniería e Industria is the property of Publicaciones Dyna SL and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Colombiana de Gastroenterología is the property of Asociacion Colombiana de Gastroenterologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Nowadays some debates exist within psychological and neuropsychological assessment fields respecting differences between traditional testing (with pencil and paper) and the same tasks implemented via computer or Tablet programs. In this context, the Mode Effect is defined as the effect by which the same tasks, tested with different devices, may show different results. In addition, the Mode Effect might be associated with higher cognitive load, higher attentional requirements, fatigue and stress among others. The Corsi block-tapping test is widely used in psychology and cognitive sciences to assess visuospatial working memory. Originally, the stimuli sequence was manually set by a researcher which could entail a constraint to run the test accurately. Today, there are many digital versions available for computers or tablets and, although this meant a significant cut on manual steps, there are discussions on the impact these digital versions could have on working memory as opposed to traditional ones. This work focuses on the development of the CorsiBot: a new physical and automated version that enables researchers to assess performance and resolution strategies for the Corsi block-tapping test while combining the benefits of both tangible and digital versions. In addition, this work aimed to compare the performance of a sample of adults between a digital version of Corsi and our CorsiBot. Thirty adults where assessed with both devices with different protocols. After each assessment, participants completed the NASA-TLX questionnaire in order to explore the cognitive load required by each device. Results showed similarities and differences between each device. Specifically, participants showed a similar proportion of correct trials, while showing different types of errors for each version of Corsi. Such differences were related to path errors, where response sequence contains the correct blocks but pressed in an incorrect order. Analyses showed that SoftCorsi was more sensitive to those kind of errors. With respect to cognitive load, participants reported that CorsiBot elicited larger mental exigency than SoftCorsi. The present work aims make a relevant contribution to research and clinical teams interested in the assessment of spatial working memory. This work contributes theoretically with evidence on the behavior of memory under different processing contexts. In addition, it has practical implications related to diagnostic issues on the identification of individual differences under distinct assessment modes. Finally, the device showed effectiveness in the assessment and record of responses that permitted exporting, analyzing and visualizing the results. Schemes and source codes of the devices are openly available for free use for any interested research group or institution. [ABSTRACT FROM AUTHOR]

Copyright of Campus Virtuales is the property of Campus Virtuales and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Spanish Journal of Comparative Education / Revista Española de Educación Comparada is the property of Editorial UNED and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study aimed to identify motives for Instagram’s use, stated by users, with the purpose of establishing individual differences among groups, according to normal, psychopathological and positive personality traits. An automatic method of text analysis was performed. The sample consisted of 694 participants (293 men and 399 women) with an average of 37.55 years (DE= 13.83). BFI, PID-5, High Five Inventory and a survey designed ad-hoc to assess motives of Instagram’s use were employed for data collection. Three main motives were found: a first motive was linked to a social motivation, the second motive was linked to work uses, and a third motive linked, mainly, to informative purposes. Regarding differences in personality traits, the users of the first group scored high in neuroticism and in dysfunctional traits. The second group scored high in extraversion, conscientiousness, and openness to experience, and scored low in agreeableness and neuroticism. The third group scored high in extraversion, agreeableness, conscientiousness, honesty, and tenacity, and scored low in neuroticism and openness to experience. [ABSTRACT FROM AUTHOR]

Copyright of Alfa: Revista de Lingüística is the property of Alfa: Revista de Linguistica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of H-Industria: Revista de Historia de la Industria Argentina y Latinoamericana is the property of H-Industria, Revista de Historia de la Industria Argentina y Latinoamericana and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The present paper analyses the translation of motion events from Spanish novels into German and English. More precisely, it focuses on three translation agents: translation students, professional translators and the neural machine translation tool DeepL. The study, contextualised in the Thinking-for-translating hypothesis (Slobin, 1997, 2000, 2003), aims at investigating whether all the information about the motion events in Spanish novels is transferred or otherwise Manner information is added, as might be expected due to intertypological differences (German and English languages are satellite-framed languages and Spanish is a verb-framed language, Talmy, 1985, 2000) and the data obtained from studies based on professional translation (cf. Slobin, 1996; Cifuentes-Férez, 2013; Molés- Cases, 2019). Overall, the results show that the way students and professionals deal with the translation of motion events is influenced by their mother tongues. However, it seems that, in general, students are more reluctant to add information about Manner in motion events than professional translators. Besides, the most observed translation technique in the case of DeepL corresponds to literal translation. [ABSTRACT FROM AUTHOR]

Copyright of DYNA - Ingeniería e Industria is the property of Publicaciones Dyna SL and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective. The main idea of this study was to quantify the relationship between climatic variables and tympanic body temperature recorded through the use of wireless sensors in grazing cows located in low tropic. Material and methods. The tympanic temperature of twenty-eight cross breed grazing cows in early lactation was monitored. The sensors were manually installed in the tympanic cavity, recording hourly for 17 days. The climate data was obtained from the network of weather stations of the Centro de Investigación de la Caña de Azúcar "Cenicaña", which is a research center for sugarcane located in Cali, Colombia, this data was analyzed for the same time interval of the temperature. The information was analyzed using descriptive statistics, correlation matrices and Random Forest models, through the R software. Results. From the physiological data from automatic collection systems, the response variables that would allow the evaluation of thermoregulation processes were analyzed using big data. We find that the variables environmental temperature, relative humidity and, solar radiation were the factors that most influenced the homeothermic adaptation process of the animals. Conclusions. The introduction of remote devices, and the use of a large amount of data for the analysis of physiological indicators, avoid modifying natural animal behavior and emerges as an important diagnostic and management strategy in the livestock farm, helping in the studies of heat stress, physiological adaptation and, prevalence to hemotropic diseases, which reduce the productivity of the systems. [ABSTRACT FROM AUTHOR]

Word sense ambiguity is one of the major challenges we face when we carry out tasks related to Natural Language Processing, in particular those related to the processing of electronic language resources. In this study we address word sense disambiguation within the computing environment DAMIEN (Data Mining ENcountered). DAMIEN is an online workbench that embeds several techniques from different fields (corpus linguistics, statistics and text mining) in order to deal with text analysis to help in linguistic research tasks such as data collection, information retrieval and text classification, among others. By way of experiment, we carry out the analysis of the polysemic lexical units "cabeza", "cara" and "carta" in Spanish and present the results of the automatic disambiguation system developed with DAMIEN. Among the models that the environment offers we have deployed the supervised machine learning method with ingenious bayes algorithm because it has traditionally given the best results for automatic word sense disambiguation. It is a mathematical model that consists in extracting information from a corpus, setting from previously tagged datasets (training corpus), so that new datasets can be automatically classified by the system (trained corpus). It is important to highlight the flexibility and potentialities of DAMIEN for both the processing of electronic linguistic resources and the design of experiments in the field of natural language processing. [ABSTRACT FROM AUTHOR]

Copyright of Revista Argentina de Cardiología is the property of Sociedad Argentina de Cardiologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Currently, the Electronics Department of the Cuban Center for Neurosciences (CNEURO) is involved in the process of developing and implementing the universal screening system INFANTIX, which will include in its battery of tests the Auditory Steady-State Responses (ASSR). This article presents the results obtained by modeling 84 strategies with highpotential in the detection of the steady-state response, which only three were identified with the best performance in the correct classification of a real sample. The strategies T2A 8192/2048/64, T2A 8192/1024/64 and T2A 8192/1024/32 based on normal averaging took only 9 averages to correctly classify the sample, reaching cutoff values of 2.72, 3.70 and 2.73 respectively for a 100% in both sensitivity and specificity. Finally, the T2A 8192/1024/32 strategy was selected as an alternative to be implemented in the STM32F429 microcontroller that manages the INFANTIX system control module because it requires less memory availability. Said strategy showed satisfactory results under real operating conditions. [ABSTRACT FROM AUTHOR]

Copyright of Revista Cubana de Ciencias Informáticas is the property of Universidad de las Ciencias Informaticas (UCI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This research aims to elucidate, from the analysis of explainable artificial intelligence techniques, the robustness and level of generalization of the proposed computer vision methods to identify COVID-19 using chest X-ray images. Also, alert researchers and reviewers about the problem of learning by shortcuts. In this study, recommendations are followed to identify if the automatic classification models of COVID-19 are affected by shortcut learning. To do this, articles that use explainable artificial intelligence methods were reviewed. It was shown that when using the full chest X-ray image or the bounding box of the lungs, the regions of the image that contribute the most to the classification appear outside the lung region, something that does not make sense. The results indicate that, so far, the existing models present the problem of learning by shortcuts, which makes them inappropriate to be used in clinical settings. [ABSTRACT FROM AUTHOR]

After an initial discussion of the problem presented by image and video indexing as compared to text indexing, the authors describe some of the basic techniques for automatic video indexing. The content-based retrieval paradigm and some automatic methods for segmentation and key-frame identification are further described. Certain low-level parameters for identifying an image are also introduced. The authors discuss the drawbacks of such automatic methods based solely on the image and give examples from projects using accompanying information as well, such as audio and captions. The article concludes by pointing out that the use of standards, like Mpeg-7, can promote the development of new and richer applications based on video. INSET: ¿Qué es el histograma de una imagen?. [ABSTRACT FROM AUTHOR]

Web accessibility is that feature that allows anyone, regardless of their conditions, to access the contents of websites. The use of automatic validators allows a first analysis to be made about the level of accessibility of a website. However, the selection of these tools tends not to be trivial due to the technical differences presented by each validator. The objective of this work was to carry out a comparative analysis between automatic accessibility validators, seeking to establish selection criteria when choosing a validator to carry out an accessibility evaluation. A methodology was proposed based on three stages that allowed the selection of 14 validators that were analyzed under different criteria. In addition, it allowed to conclude that none of the analyzed validators fulfills all the characteristics, reason why it would not be enough to select only one to carry out an accessibility evaluation process. Therefore, this methodological process constitutes a very useful tool for the selection of accessibility validators. [ABSTRACT FROM AUTHOR]

The objective of the research was to analyze the role of machine data learning in systematic literature reviews. The Natural Language Processing technique called topic modeling was applied to a set of titles and abstracts collected from the Scopus database. Specifically, the Latent Dirichlet Assignment (LDA) technique was used, from which it was possible to discover and understand the underlying themes in the collection of documents. The results showed the usefulness of the technique used in the exploratory literature review, by allowing the results to be grouped by theme. Likewise, it was possible to identify the specific areas and activities where machine learning has been applied the most, in relation to literature reviews. It is concluded that the LDA technique is an easy-to-use strategy and whose results allow a wide collection of documents to be approached in a systematic and coherent manner, notably reducing the review time. [ABSTRACT FROM AUTHOR]

This article presents a proposal for the implementation of a system for energy information management, which allows historical monitoring of electrical variables such as energy, voltages, currents, etc. through analytics, along with tools for bill simulation and projection of electricity consumption, enabling the possibility of identifying savings opportunities and facilitating decision making in favor of Energy Efficiency (EE). Additionally, it allows the integration of current and future services from different sources of information that enable electricity providers to manage different variables; which directly influence the competitiveness of end users. The system consists of an online platform for reading, visualization and control of information, low-cost communication systems developed locally based on Internet of Things (IoT) technologies, which enable communication between the platform and the measurement systems of electrical variables installed in the remote whereabouts of each consumer and thanks to its low cost allows the widespread use of the solution, especially within low energy consumption users. This proposal responds to the need to encourage efficient consumption of electricity service in consumers, and targets those with medium and low energy consumption rates, where the implementation of similar systems is affected by the high cost and lack of knowledge on EE grounds. In addition, the development of in-house devices solves the need for Vatia S.A. E.S.P. to import units of this type of equipment annually for the regulatory process of telemetering. [ABSTRACT FROM AUTHOR]

The transit method is an effective way to find extrasolar planets. This method is based on the shallow decrease that a planet causes in its host star's apparent brightness: when the planet passes through our line of sight, it affects the brightness we receive from the star with our telescopes. However, these transit events are very close to the telescopes' detection sensitivity limit. To confirm a planet observation, it takes at least three (3) transit events, making long-time observations of a star necessary to detect extrasolar planets that may orbit it, which results in large amounts of data to be analized. In this work we did a new software pipeline for autonomous detection of transit traces by analyzing extracted features from stellar light curves using a fuzzy logic classifier, avoiding the task of searching for transit events in each section of the light curves. During the development process of the software pipeline, the Knowledge Discovery in Databases (KDD) methodology is implemented, which presents a way to extract knowledge from large datasets. [ABSTRACT FROM AUTHOR]

Copyright of Revista Cubana de Ciencias Informáticas is the property of Universidad de las Ciencias Informaticas (UCI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Iustitia Socialis: Revista Arbitrada de Ciencias Jurídicas y Criminalísticas is the property of Fundacion Koinonia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)