While equipment-free visual interpretation is a benefit of lateral-flow assays, automating the reading of rapid diagnostic tests promotes proper test performance, interpretation and reporting of the ...results. We have created a target product profile that describes the minimal and optimal characteristics of various rapid diagnostic test readers. The product profile is intended to promote the development of effective, useful, sustainable rapid diagnostic test readers in support of health programmes worldwide. These readers may be custom hardware or software-only running on a general-purpose mobile device, for professional or lay use, and for medical or non-medical purposes. During the development of the product profile, the World Health Organization and FIND convened a development group of 40 leading scientists, experts, public health officials and regulators. We held a public consultation to which 27 individuals or organizations responded. The product profile calls for rapid diagnostic test readers that at minimum should: (i) interpret colorimetric tests with at least 95% agreement with expert visual interpretation; and (ii) automatically report results and associated data for the health programme. Optimally, readers should: (i) provide at least 98% agreement; (ii) operate with multiple models of rapid diagnostic tests; (iii) assist the user in performing each rapid diagnostic test according to the test instructions; and (iv) offer multiple configurations, operating modes and languages to suit the needs of diverse users, settings and health programmes.
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With the popularity of mobile devices, lightweight deep learning models have important value in various application scenarios. However, how to effectively fuse the feature information from different ...dimensions while ensuring the model’s lightness and high accuracy is a problem that has not been fully solved. In this paper, we propose a novel feature fusion module, called φunit, which can fuse the features extracted by different dimensional networks according to the order of feature information with a small computational cost, avoiding the problems of information fragmentation caused by simple feature stacking in traditional information fusion. Based on φunit, this paper further builds an extremely lightweight model φNet, which can achieve performance close to the highest accuracy on several public datasets under the condition of very limited parameter scale. The core idea of φunit is to use deconvolution to reduce the discrepancy among the features to be fused, and to lower the possibility of feature information fragmentation after fusion by fusing the features from different dimensions sequentially. φNet is a lightweight network composed of multiple φunits and bottleneck modules, with a parameter scale of only 1.24 M, much smaller than traditional lightweight models. This paper conducts experiments on public datasets, and φNet achieves an accuracy of 71.64% on the food101 dataset, and an accuracy of 75.31% on the random 50-category food101 dataset, both higher than or close to the highest accuracy. This paper provides a new idea and method for feature fusion of lightweight models, and also provides an efficient model selection for deep learning applications on mobile devices.
Mobile forensics, particularly in the Android ecosystem, is a rapidly evolving field that demands continuous advancements to address the growing complexity and diversity of mobile devices. This ...article emphasizes the importance of developing techniques for digitally analyzing Android smartphones, which dominate the smartphone market. The primary objective of this research is to contribute to the development of effective forensic investigation strategies tailored specifically for Android mobile devices, providing insights into the tools and methods used for this purpose. The objective of this study is to improve the precision and effectiveness of forensic examinations pertaining to Android mobile phones. It discusses the fundamental functionality of mobile devices as a source of digital evidence and provides an overview of tools and methodologies for collecting and analyzing such evidence. The importance of comprehending the hardware and software architecture of Android handsets in order to choose the right forensic tools is also highlighted in the article. Furthermore, it proposes future enhancements for Andriller, a popular digital forensic tool, to improve its effectiveness in Android forensic investigations. These enhancements include advancements in data extraction techniques, compatibility with new Android versions, support for additional data types, integration with advanced analysis methods, and addressing identified limitations. Additionally, the paper stresses the need for robust methodologies for conducting cloud forensics on Android devices, particularly in the context of data stored in cloud storage services. The proposed work aims to enhance the capabilities of Andriller and improve the efficiency of digital forensic investigations on Android devices.
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La evaluación formativa contribuye en la mejora del proceso educativo, ya que recopila, interpreta y usa información de forma sistemática, con el fin de verificar y proveer retroalimentación sobre el ...logro de los objetivos de aprendizaje. La retroalimentación, es un componente fundamental durante la evaluación formativa, ya que, a través de ella, es posible recibir información inmediata y personalizada, que permite conocer de manera oportuna los avances en términos del conocimiento adquirido, contribuyendo a la mejora en los resultados de aprendizaje y por consiguiente aportando al logro de las competencias. En la actualidad, existen soluciones que contribuyen al proceso evaluativo, pero enfocadas en campos de estudio específico, las cuales no incluyen elementos del contexto con uso de información sensórica de los dispositivos móviles para enriquecer y personalizar la retroalimentación. Este artículo presenta un Modelo Conceptual de Evaluación Formativa en Sistemas de Aprendizaje Móvil, el cual, define de manera explícita los componentes conceptuales, que deben ser considerados para soportar procesos de evaluación formativa. Durante la investigación se desarrolló un prototipo de Servicio Web, basado en el modelo propuesto e integrado en la plataforma LMS Google Classroom que permitió brindar retroalimentación en tiempo real basada en contexto sensible. La aplicación práctica del modelo evidenció un incremento significativo en el nivel de aprendizaje de los estudiantes, sin embargo, es importante ampliar la población de estudio para generalizar los resultados.
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As serpentes sao conhecidas pelas variedades de historias e mitos culturais que sao passados de geracao para geracao. Deste modo, sabendo da sua importancia dentro ecossistema e para a medicina, bem ...como os problemas que enfrentam e a percepcao negativa das pessoas, que podem levar a acidentes e mortes desnecessarias. O projeto objetiva a criacao de um aplicativo de identificacao de serpentes, a fim de melhorar a transmissao de informacao sobre a conscientizacao dos cuidados que se deve ter ao presenciar esse tipo de ser vivo animal presente no estado do Tocantins. Alem disso, visa melhorar a acessibilidade de conhecimento sobre o que fazer caso o individuo seja picado por uma serpente. Para o desenvolvimento dessa tecnologia, foi necessario desenvolver primeiramente um aplicativo educativo, sendo por meio da linguagem JavaScript, devido a sua facilidade de manipulacao e programacao em dispositivos moveis. O projeto tambem conta com quiz para testar o conhecimento popular sobre o que se sabe dessas serpentes, alem da importancia para a medicina. Por fim, o conteudo introduzido foi baseado no livro Serpentes do Tocantins: Guia Ilustrado, escrito por Raiany C. C. Da Silva, Marco A. De Freitas, Savio S. Santanna e Carla S. Seibert. O questionario aplicado ao ensino medio foi obtido informacoes de cunho popular sobre o que se conhecia das serpentes, o que fazer? Quais equipamentos de protecao utilizar? Conhece alguma historia ou mito? E assim por diante. Por tanto, fica visivel a necessidade do aplicativo para que se propague informacoes a fim de contribuir na minimizacao da mortalidade dos animais. Palavras-chave: Serpentes do Tocantins; conhecimento popular; prevencao; JavaScript; tecnologia. Snakes are known for the varieties of stories and cultural myths that are passed down from generation to generation. In this way, knowing their importance within the ecosystem and for medicine, as well as the problems they face and people's negative perception, which can lead to accidents and unnecessary deaths. The project aims to create a snake identification application, in order to improve the transmission of information about the awareness of the care that must be taken when witnessing this type of animal living being present in the state of Tocantins. Furthermore, it aims to improve the accessibility of knowledge about what to do if an individual is bitten by a snake. To develop this technology, it was first necessary to develop an educational application, using the JavaScript language, due to its ease of manipulation and programming on mobile devices. The project also features a quiz to test popular knowledge about what is known about these snakes, in addition to their importance in medicine. Finally, the content introduced was based on the book Serpentes do Tocantins: Guia Ilustrado, written by Raiany C. C. Da Silva, Marco A. De Freitas, Savio S. Santanna and Carla S. Seibert. The questionnaire applied to high school provided information of a popular nature about what was known about snakes, what should be done? What protective equipment to use? Do you know any stories or myths? And so on. Therefore, the need for the application to disseminate information in order to contribute to minimizing animal mortality is visible. Keywords: Snakes of Tocantins; popular knowledge; prevention; JavaScript; technology. Las serpientes son conocidas por la variedad de historias y mitos culturales que se transmiten de generacion en generacion. De esta forma, conociendo su importancia dentro del ecosistema y para la medicina, asi como los problemas que enfrentan y la percepcion negativa de las personas, que pueden provocar accidentes y muertes innecesarias. El proyecto tiene como objetivo crear una aplicacion de identificacion de serpientes, con el fin de mejorar la transmision de informacion sobre la conciencia del cuidado que se debe tener al presenciar la presencia de este tipo de animal vivo en el estado de Tocantins. Ademas, pretende mejorar la accesibilidad al conocimiento sobre que hacer si una serpiente muerde a un individuo. Para desarrollar esta tecnologia, primero fue necesario desarrollar una aplicacion educativa, utilizando el lenguaje JavaScript, debido a su facilidad de manipulacion y programacion en dispositivos moviles. El proyecto tambien incluye un cuestionario para poner a prueba el conocimiento popular sobre lo que se sabe sobre estas serpientes, ademas de su importancia en la medicina. Finalmente, el contenido presentado se baso en el libro Serpentes do Tocantins: Guia Ilustrado, escrito por Raiany C. C. Da Silva, Marco A. De Freitas, Savio S. Santanna y Carla S. Seibert. El cuestionario aplicado a la secundaria aporto informacion de caracter popular sobre lo que se sabia sobre las serpientes, ?que se debe hacer? ?Que equipo de proteccion utilizar? ?Conoces alguna historia o mito? Etcetera. Por tanto, es visible la necesidad de que la aplicacion difunda informacion para contribuir a minimizar la mortalidad animal. Palabras clave: Serpientes de Tocantins; conocimiento popular; prevencion; Javascript; tecnologia.
Criminalistica mobilă ONOFREI-RIZA, Deniss Bogdan
Revista română de informatică și automatică = Romanian journal of information technology and automatic control,
12/2023, Volume:
29, Issue:
1
Journal Article
Peer reviewed
Open access
The "Informational Revolution" as well as the fantastic development of the "IT world" come and mark the XXI century, as a witness to the emergence and continued evolution of mobile devices. Compact ...equipment that combines traditional cell phone features with personal computer functionality, today's mobile devices are the result of a growing number of hardware and operating systems (Android, iOS, Windows Phone, BlackBerry). Today's smart mobile devices are being used less and less for calls and more and more for socializing and information! Thus, the intelligent mobile device has become a complex storage of sensitive data that helps identify the "behavior" of its owner. This has generated the forensic evolution of mobile devices, a branch of "digital forensics" dealing with the recovery of data stored by a mobile device.
Mobile devices are a ubiquitous part of American life, yet how families use this technology has not been studied. We aimed to describe naturalistic patterns of mobile device use by caregivers and ...children to generate hypotheses about its effects on caregiver-child interaction.
Using nonparticipant observational methods, we observed 55 caregivers eating with 1 or more young children in fast food restaurants in a single metropolitan area. Observers wrote detailed field notes, continuously describing all aspects of mobile device use and child and caregiver behavior during the meal. Field notes were then subjected to qualitative analysis using grounded theory methods to identify common themes of device use.
Forty caregivers used devices during their meal. The dominant theme salient to mobile device use and caregiver-child interaction was the degree of absorption in devices caregivers exhibited. Absorption was conceptualized as the extent to which primary engagement was with the device, rather than the child, and was determined by frequency, duration, and modality of device use; child response to caregiver use, which ranged from entertaining themselves to escalating bids for attention, and how caregivers managed this behavior; and separate versus shared use of devices. Highly absorbed caregivers often responded harshly to child misbehavior.
We documented a range of patterns of mobile device use, characterized by varying degrees of absorption. These themes may be used as a foundation for coding schemes in quantitative studies exploring device use and child outcomes.
Health information like heart rate (HR) and electrocardiogram (ECG) patterns are available to the public on smartwatches; however, there may be a disconnect between these health measures and how ...users subjectively experience feelings of stress. This study examines the health detection features of two leading smartwatches in the industry, the Apple Watch Series 6 and Fitbit Sense, to determine if these devices may be used to accurately measure stress. Participants engaged in a multi-tasking program (MATB-II) that varied in cognitive workload demand while wearing smartwatches measuring cardiac data. Subjective workload responses resulted in significant differences between low and high workload conditions, indicating an increase in stress. However, both smartwatches were unable to detect significant differences in stress responses between low and high workload conditions. Overall, these results indicate that smartwatch HR and ECGs may not reflect internal feelings of stress and are sensitive to variability in measurement.
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Many children are spending more time with screen media than has been recommended by the American Academy of Pediatrics. There is evidence that parent television use is associated with higher levels ...of child television time, but we know little about what predicts children's media use with other technology. Using a nationally representative sample of more than 2300 parents of children ages 0–8, children's time spent with four digital media devices – television, computers, smartphones, and tablet computers – was examined. Results from linear regression analyses indicate across all four platforms that parents' own screen time was strongly associated with child screen time. Further analyses indicate that child screen time use appears to be the result of an interaction between child and parent factors and is highly influenced by parental attitudes. Results suggest that policymakers should consider the family environment as a whole when developing policy to influence children's screen media use at home.
•Parent screen time is the strongest predictor of child screen time.•Parent screen time and parent attitudes influence child screen time.•Child screen time varies as a function of child age and by device.
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