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Pediatric emergencies are rare events that require precise medical intervention. The dosing of medication is particularly tricky. The challenges require technical aids for automatic dosage calculation without restricting the emergency physicians' ability to act. This short paper describes the development process of an automatic data processing pipeline that synchronizes multiple sensor data to perform the necessary calculations. In a final evaluation process, two transmission protocols (HTTP and MQTT)), are compared to determine which is more suitable for this application. The results of the evaluation clearly showed that MQTT is the preferred choice for the data processing pipeline due to its significantly lower latency.

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Barcode Medication Administration (BCMA) is a proven process for maintaining patient safety during medication administration. However, maintaining compliance with BCMA scanning in the Emergency Department has its challenges. To overcome these challenges handheld devices, enabled with scanning technology, were provided to each nurse. BCMA compliance rates increased by 20% over a 6-month period. Handheld devices work to improve BCMA compliance in the ED environment when using a 1:1 model.

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This paper reports a case study in which an improvement in nursing work was achieved through the introduction of a traceability system compatible with radio-frequency identification (RFID) and bar codes for the management of medical materials. In verifying the RFID-based system in an operating room, the work time was reduced to approximately one-tenth of that of barcode reading. In the catheterization laboratory, a system consisting of a cartel management system utilizing bar codes and an RFID-compatible inventory management cabinet was introduced. The system eliminates the need to cut and paste packages onto vouchers after the cases are completed and digitizes the data sent to the medical affairs department for secure billing. We are implementing this system at many facilities, and, in addition to improving the work of nurses, we are taking new steps to improve hospital management through data linkage.

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Minimally invasive surgery can involve the use of robotics to improve patient outcomes. Some robotic systems require special instruments with a designated number of uses. In China, during the reprocessing of the robotic instruments, health care personnel determined that the existing tracking processes were inadequate. They conducted a quality improvement project with the goal of establishing a barcode-based standardized process for tracking robotic instruments. They implemented technology that generated a unique identifier each time a robotic instrument was reprocessed after use. Nurses scanned the identifier when surgeons used the instrument. The findings included the increased accuracy of use documentation and decreases in untraceable sterilization and use records, charging concerns, and average daily and monthly inventory times. An increase in adverse event reports associated with robotic instruments also was noted. The use of barcode technology for robotic instrument tracking continues at the facility and may be expanded for additional specialty instruments.

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Background and objectives Suicide is a major public health concern, media can influence its awareness, contagion, and prevention. In this study, we evaluated the relationship between the COVID-19 pandemic and suicide in media coverage through Natural Language Processing analysis (NPL). Methods To study how suicide is depicted in news media, Artificial Intelligence and Big Data techniques were used to analyze news and tweets, to extract or classify the topic to which they belonged. Results A granger causality analysis showed with significant p-value that an increase in covid news at the beginning of the pandemic explains a later rise in suicide-related news. An analysis based on correlation and structural causal models show a strong relationship between the appearance of subjects “health” and “covid”, and also between “covid” and “suicide”. Conclusions Our analysis also uncovers that the inclusion of suicide-related news in the category health has grown since the outbreak of the pandemic. The COVID-19 pandemic has posed an inflection point in the way suicide-related news are reported. Our study found that the increased media attention on suicide during the COVID-19 pandemic may indicate rising social awareness of suicide and mental health, which could lead to the development of new prevention tools. (AU)

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BACKGROUND: We explore an innovative approach by transforming patient information leaflet (PILs) into Quick Response (QR) code linked patient information videos (PIVs) in ophthalmology. Our objectives are to assess the subjective utility of a PIV on glaucoma and analyse the use of QR codes as a delivery method. METHODS: A prospective study was conducted in Ninewells Hospital, NHS Tayside. A glaucoma PIV was created and linked to a QR code provided to 130 glaucoma patients. Pre- and post-video questionnaires evaluated the patients' perception of using a QR code and subjective improvement in their understanding of glaucoma. RESULTS: Out of 102 responses collected, 55% of patients had no prior experience with QR codes. However, 81% of patients were able to watch the PIV. The average view duration of the video was 3:26, with 82.5% view retention. Statistically significant improvement in glaucoma knowledge was observed across all six areas questioned (p < 0.001) using a 5-point Likert scale. Overall, 70% of patients preferred PIVs over PILs, and 77% acknowledged that PIVs could be a sustainable alternative. CONCLUSION: QR codes for delivering PIVs were well-received, with patients finding them easy to use. Our PIV on glaucoma effectively enhanced patients' understanding of the condition.

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Abstract Introduction: Molecular divergence thresholds have been proposed to distinguish recently separated evolutive units, often displaying more accurate putative species assignments in taxonomic research compared to traditional morphological approaches. This makes DNA barcoding an attractive identification tool for a variety of marine invertebrates, especially for cryptic species complexes. Although GenBank and the Barcode of Life Data System (BOLD) are the major sequence repositories worldwide, very few have tested their performance in the identification of echinoderm sequences. Objective: We use COI echinoderm sequences from local samples and the molecular identification platforms from GenBank and BOLD, in order to test their accuracy and reliability in the DNA barcoding identification for Central American shallow water echinoderms, at genus and species level. Methods: We conducted sampling, tissue extraction, COI amplification, sequencing, and taxonomic identification for 475 specimens. The 348 obtained sequences were individually enquired with BLAST in GenBank as well as using the Identification System (IDS) in BOLD. Query sequences were classified depending on the best match result. McNemar's chi-squared, Kruskal-Wallis's and Mann-Whitney's U tests were performed to prove differences between the results from both databases. Additionally, we recorded an updated list of species reported for the shallow waters of the Central American Pacific. Results: We found 324 echinoderm species reported for Central American Pacific shallow waters. Only 118 and 110 were present in GenBank and BOLD databases respectively. We proposed 325 solved morphology-based identities and 21 provisional identifications in 50 putative taxa. GenBank retrieved 348 molecular-based identifications in 58 species, including twelve provisional identifications in tree taxa. BOLD recovered 170 COI identifications in 23 species with one provisional identification. Nevertheless, 178 sequences retrieved unmatched terms (in 34 morphology-based taxa). Only 86 sequences (25 %) were retrieved as correct identifications and 128 (37 %) as identification errors in both platforms. We include 84 sequences for eleven species not represented in GenBank and 65 sequences for ten species in BOLD Echinoderm COI databases. The identification accuracy using BLAST (175 correct and 152 incorrect identifications) was greater than with IDS engine (110 correct and 218 identification errors), therefore GenBank outperforms BOLD (Kruskal-Wallis = 41.625, df = 1, p < 0.001). Conclusions: Additional echinoderm sample references are needed to improve the utility of the evaluated DNA barcoding identification tools. Identification discordances in both databases may obey specific parameters used in each search algorithm engine and the available sequences. We recommend the use of barcoding as a complementary identification source for Central American Pacific shallow water echinoderm species.

Resumen Introducción: Se han propuesto los umbrales de divergencia molecular para distinguir unidades evolutivas recientemente separadas, que a menudo muestran asignaciones de especies putativas más precisas en la investigación taxonómica en comparación con los enfoques morfológicos tradicionales. Esto hace que los Códigos de Barras de ADN sean una herramienta de identificación atractiva para una variedad de invertebrados marinos, especialmente para complejos de especies crípticas. Aunque GenBank y Barcode of Life Data System (BOLD) son los principales repositorios de secuencias en todo el mundo, muy pocos han probado su desempeño en la identificación de secuencias de equinodermos. Objetivo: Utilizamos secuencias de equinodermos COI de muestras locales y las plataformas de identificación molecular de GenBank y BOLD, para probar su precisión y confiabilidad en la implementación de códigos de barras de ADN para equinodermos de aguas someras de Centroamérica, a nivel de género y especie. Métodos: Realizamos muestreo, extracción de tejido, amplificación de COI, secuenciación e identificación taxonómica de 475 especímenes. Las 348 secuencias obtenidas fueron consultadas individualmente con BLAST en GenBank así como utilizando el Sistema de Identificación (IDS) en BOLD. Las secuencias consultadas se clasificaron según el mejor resultado de coincidencia. Se realizaron las pruebas chi-cuadrado de McNemar, Kruskal-Wallis y U de Mann-Whitney para comprobar diferencias entre los resultados de ambas bases de datos. Además, registramos una lista actualizada de especies reportadas para las aguas someras del Pacífico Centroamericano. Resultados: Encontramos 324 especies de equinodermos reportadas para aguas someras (< 200 m) del Pacífico centroamericano. Sólo 118 y 110 estaban presentes en las bases de datos GenBank y BOLD respectivamente. Propusimos 325 identidades resueltas basadas en morfología y 21 identificaciones provisionales en 50 taxones putativos. GenBank recuperó 348 identificaciones de base molecular en 58 especies, incluidas doce identificaciones provisionales en tres taxones. BOLD recuperó 170 identificaciones de COI en 23 especies con una identificación provisional. Sin embargo, 178 secuencias recuperaron términos no coincidentes (en 34 taxones basados en morfología). Sólo 86 secuencias (25 %) se recuperaron como identificaciones correctas y 128 (37 %) como errores de identificación en ambas plataformas. Incluimos 84 secuencias para once especies no representadas en GenBank y 65 secuencias para diez especies ausentes en las bases de datos BOLD Echinoderm COI. La precisión de la identificación usando BLAST (175 identificaciones correctas y 152 incorrectas) fue mayor que con el motor IDS (110 correctas y 218 errores de identificación), por lo tanto, GenBank supera a BOLD (Kruskal-Wallis = 41.625, df = 1, p < 0.001). Conclusiones: Se necesitan muestras adicionales de equinodermos de referencia para mejorar la utilidad de las herramientas de identificación de códigos de barras de ADN evaluadas. Las discordancias de identificación en ambas bases de datos pueden obedecer a parámetros específicos utilizados en cada algoritmo de búsqueda y a las secuencias disponibles. Recomendamos el uso de códigos de barras como fuente de identificación complementaria para las especies de equinodermos de aguas someras del Pacífico centroamericano.

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MOTIVATION: The process of analyzing high throughput sequencing data often requires the identification and extraction of specific target sequences. This could include tasks, such as identifying cellular barcodes and UMIs in single-cell data, and specific genetic variants for genotyping. However, existing tools, which perform these functions are often task-specific, such as only demultiplexing barcodes for a dedicated type of experiment, or are not tolerant to noise in the sequencing data. RESULTS: To overcome these limitations, we developed Flexiplex, a versatile and fast sequence searching and demultiplexing tool for omics data, which is based on the Levenshtein distance and thus allows imperfect matches. We demonstrate Flexiplex's application on three use cases, identifying cell-line-specific sequences in Illumina short-read single-cell data, and discovering and demultiplexing cellular barcodes from noisy long-read single-cell RNA-seq data. We show that Flexiplex achieves an excellent balance of accuracy and computational efficiency compared to leading task-specific tools. AVAILABILITY AND IMPLEMENTATION: Flexiplex is available at https://davidsongroup.github.io/flexiplex/.

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In this paper, we present the development of a low-cost distributed computing pipeline for cotton plant phenotyping using Raspberry Pi, Hadoop, and deep learning. Specifically, we use a cluster of several Raspberry Pis in a primary-replica distributed architecture using the Apache Hadoop ecosystem and a pre-trained Tiny-YOLOv4 model for cotton bloom detection from our past work. We feed cotton image data collected from a research field in Tifton, GA, into our cluster's distributed file system for robust file access and distributed, parallel processing. We then submit job requests to our cluster from our client to process cotton image data in a distributed and parallel fashion, from pre-processing to bloom detection and spatio-temporal map creation. Additionally, we present a comparison of our four-node cluster performance with centralized, one-, two-, and three-node clusters. This work is the first to develop a distributed computing pipeline for high-throughput cotton phenotyping in field-based agriculture.

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Resumen El campo de la cognición ha tenido una larga historia en la que los modelos formales, el cuerpo y la interacción con el mundo físico y social han tenido significados y papeles variados. En los últimos años, las propuestas han intentado reintroducir el cuerpo y la variabilidad cognitiva resultante de la sensibilidad a contextos ricos e impredecibles. Este artículo presenta el enactivismo autopoiético, una de las versiones esenciales de las teorías encarnadas dentro de las ciencias cognitivas, señalando algunas limitaciones de las teorías clásicas de procesamiento de la información y sus nociones de representación. En este distanciamiento, las ciencias cognitivas han recuperado el cuerpo, la sensibilidad y flexibilidad de los procesos cognitivos, la naturaleza dinámica de la experiencia y el valor de los sistemas culturales que sustentan la actividad cognitiva.

Resumo O campo da cognição tem uma longa história na qual modelos formais, o corpo, e a interação com o mundo físico e social tiveram significados e papéis variados. Nos últimos anos, as propostas tentaram reintroduzir o corpo e a variabilidade cognitiva resultante da sensibilidade a contextos ricos e imprevisíveis. Este artigo apresenta o enativismo autopoiético, uma das versões essenciais das teorias corporizadas dentro das ciências cognitivas, apontando algumas limitações das teorias clássicas de processamento de informação e as suas noções de representação. Nesse distanciamento, as ciências cognitivas recuperaram o corpo, a sensibilidade e flexibilidade dos processos cognitivos, a natureza dinâmica da experiência e o valor dos sistemas culturais que sustentam a atividade cognitiva.

Abstract The field of cognition has had a long history where formal models, the body, and interaction with the physical and social world have had varied meanings and roles. In recent years, proposals have tried to reintroduce the body and the cognitive variability resulting from sensitivity to rich and unpredictable contexts. This article presents the autopoietic enactivism, one of the essential versions of embodied theories within the cognitive sciences, pointing out some limitations of classical information processing theories and their notions of representation. In this distancing, cognitive sciences have recovered the body, the sensitivity and flexibility of cognitive processes, the dynamic nature of experience, and the value of the cultural systems that support cognitive activity.

Résumé Le domaine de la cognition a connu une longue histoire dans laquelle les modèles formels, le corps et l'interaction avec le monde physique et social ont eu des significations et des rôles variés. Ces dernières années, des propositions ont tenté de réintroduire le corps et la variabilité cognitive résultant de la sensibilité à des contextes riches et imprévisibles. Cet article présente l'enactivisme autopoïétique, l'une des versions essentielles des théories incarnées au sein des sciences cognitives, en soulignant certaines limites des théories classiques du traitement de l'information et de leurs notions de représentation. Avec cet écartement, les sciences cognitives ont récupéré le corps, la sensibilité et la flexibilité des processus cognitifs, la nature dynamique de l'expérience et la valeur des systèmes culturels qui soutiennent l'activité cognitive.

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Whether artificial or living, neural networks perform tremendously diverse kinds of information processing, such as visual feature extraction, speech recognition, motor control, and so on. Some studies have evaluated the computational ability of living neural networks based on the performances of specific tasks, yet could not comprehensively grasp the versatile ability. In this study, we investigated dissociated culture of neurons as a physical reservoir, which generates diverse outputs through linear regression, or readout, of the dynamical states. Based on the theory of reservoir computing, the potential computational capabilities of neuronal culture were evaluated by the information processing capacity (IPC), which indicates how a target function can be achieved from the given dynamics. As a result, we found that the neuronal culture exhibited significant IPC and that IPC varied with the inter-step interval (ISI), the time step of reservoir computing. The cultures exhibited a memory capacity of 10 time steps for computation, and this memory capacity decayed at an ISI of 5 ms or shorter. In addition, the IPC had a significant positive correlation with the intensity of the evoked response relative to spontaneous activity. The multiple regression model with evoked response and ISI showed the positive effect of evoked response and 30 ms as the best ISI for IPC. These results suggest that the distinct evoked response and the optimal time step to interact with the neuronal culture are key factors to uncover computational resources from the neuronal system.

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Adequate and rapid microbiological diagnosis of sepsis is essential for correct treatment, having a direct impact on patient prognosis. Clinical Microbiology Services must adapt fast circuits that allow prioritizing and individualizing the diagnosis of these patients. The measures adopted should not be based solely on the incorporation of new technologies but, to a large extent, on ensuring accurately collection and processing of samples, avoiding unnecessary losses of time in processing and ensuring that the information derived from this process adequately reaches the prescribing physician. (AU)

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