Application of Machine Vision Techniques in Low-Cost Devices to Improve Efficiency in Precision Farming.

In the context of recent technological advancements driven by distributed work and open-source resources, computer vision stands out as an innovative force, transforming how machines interact with and comprehend the visual world around us. This work conceives, designs, implements, and operates a computer vision and artificial intelligence method for object detection with integrated depth estimation. With applications ranging from autonomous fruit-harvesting systems to phenotyping tasks, the proposed Depth Object Detector (DOD) is trained and evaluated using the Microsoft Common Objects in Context dataset and the MinneApple dataset for object and fruit detection, respectively. The DOD is benchmarked against current state-of-the-art models. The results demonstrate the proposed method's efficiency for operation on embedded systems, with a favorable balance between accuracy and speed, making it well suited for real-time applications on edge devices in the context of the Internet of things.

Robust Multi-Sensor Consensus Plant Disease Detection Using the Choquet Integral.

Over the last few years, several studies have appeared that employ Artificial Intelligence (AI) techniques to improve sustainable development in the agricultural sector. Specifically, these intelligent techniques provide mechanisms and procedures to facilitate decision-making in the agri-food industry. One of the application areas has been the automatic detection of plant diseases. These techniques, mainly based on deep learning models, allow for analysing and classifying plants to determine possible diseases facilitating early detection and thus preventing the propagation of the disease. In this way, this paper proposes an Edge-AI device that incorporates the necessary hardware and software components for automatically detecting plant diseases from a set of images of a plant leaf. In this way, the main goal of this work is to design an autonomous device that allows the detection of possible diseases that can detect potential diseases in plants. This will be achieved by capturing multiple images of the leaves and implementing data fusion techniques to enhance the classification process and improve its robustness. Several tests have been carried out to determine that the use of this device significantly increases the robustness of the classification responses to possible plant diseases.

Taxi services and the carsharing alternative: a case study of valencia city.

The public's awareness of pollution in cities is growing. The decrease of carbon dioxide emissions from the use of fossil-fuel-powered cars stands out among the different viable alternatives. To this purpose, more sustainable options, such as carsharing fleets, could be used to replace private automobiles and other services such as taxis. This type of vehicle, which is usually electric, is becoming more common in cities, providing a green mobility option. In this research, we use multi-agent simulations to examine the efficiency of the current taxi fleet in Valencia. After that, we evaluate various carsharing fleet arrangements. Our findings demonstrate the possibility for a mix of the two types of fleets to meet present demand while also improving the city's sustainability.

Prevalencia y variables asociadas a Pediculus humanus capitis en escolares de Caloto, Cauca, Colombia / Prevalence and variables associated with Pediculus humanus capitis in schoolchildren from Caloto, Cauca, Colombia

Resumen Introducción: la pediculosis capitis (PC) es una ectoparasitosis que afecta la piel, el cuero cabelludo y el pelo, cuyo agente etiológico es el Pediculus humanus capitis. La PC afecta principalmente a la población pediátrica y puede tener repercusiones psicosociales severas. El objetivo del estudio fue determinar la prevalencia y las variables asociadas a PC en escolares de tres instituciones de educación primaria de Caloto, Cauca, Colombia. Materiales y métodos: estudio descriptivo de corte transversal realizado en 279 niños de 3-12 años entre enero y febrero de 2019. Se realizó un examen físico del cuero cabelludo de los estudiantes para identificar ninfas y piojos adultos, y se aplicó una encuesta a uno de sus padres o tutor legal. Se realizó un análisis bivariado por medio de las pruebas chi cuadrado o exacta de Fisher, para establecer la asociación entre las variables de interés y la presencia de PC, calculándose los OR con sus respectivos intervalos de confianza (IC) del 95 % y un nivel de significancia estadística de p<0,05. Resultados: la prevalencia de PC fue de 17,56 %. Las variables que se asociaron significativamente con la presencia de PC fueron ser de sexo femenino, tener entre 8 y 12 años de edad, lavarse el pelo interdiario, tener pelo largo, tener antecedente de PC y tener prurito del cuero cabelludo. Conclusiones: la PC está presente en los estudiantes de Caloto. Es necesario aplicar estrategias de prevención y control.

Abstract Introduction: pediculosis capitis (PC) is an ectoparasitosis that affects the skin, scalp and hair, and its etiologic agent is Pediculus humanus capitis. PC mainly affects pediatric population and can have severe psychosocial repercussions. This study was aimed to determine the prevalence and variables associated to PC in schoolchildren attending three primary schools in Caloto, Cauca, Colombia. Materials and methods: a cross-sectional study conducted in 279 children (aged 3 to 12) between January and February 2019. A physical examination of the children's heads was performed to identify nymphs and adult lice, and a survey was administered to one of their parents or their legal guardians. A bivariate analysis was carried out using chi-square or Fisher's exact tests to establish the association between the variables of interest and the presence of PC, calculating the ORs with their respective 95 % confidence intervals (CI) and a statistical significance level of p<0,05. Results: the prevalence of PC was 17,56 %. The following variables were significantly associated with the presence of PC: being female, being between 8 and 12 years of age, washing the hair every other day, having long hair, having a history of PC and having scalp pruritus. Conclusions: PC remains a health problem in rural schoolchildren. It is necessary to apply prevention and control strategies.

Stevens-Johnson syndrome and herpes simplex reactivation associated with paracetamol use. Case report / Síndrome de Stevens-Johnson con reactivación de herpes simple asociado a la ingesta de paracetamol. Reporte de caso

Abstract Introduction: Stevens-Johnson syndrome (SJS) is a rare disease that affects the skin, as well as the oral, ocular, and urogenital mucous membranes. This condition is caused by drug reactions in more than 50% of cases. Case presentation: A 20-year-old male visited the emergency service of a tertiary care hospital of Popayán due to a 10-day history of asthenia, adynamia, fever (without objective measurement records), cough with scarce whitish sputum, and headache that improved with paracetamol treatment. However, his condition worsened in the last two days, and he developed hyporexia, pharyngeal pruritus, vesicles, and blisters on the corners of the mouth, the oral mucosa, the trunk, and limbs, as well as breathing difficulty and odynophagia, prompting him to seek medical treatment at the ER. At first, disseminated herpes simplex, systemic lupus erythematosus and SJS were suspected, but based on clinical and laboratory findings, the patient was finally diagnosed with SJS with herpes simplex reactivation associated with the use paracetamol. Consequently, the administration of this drug was stopped and management with acyclovir and methylprednisolone was started. The patient progressed satisfactorily and was discharged 10 days after beginning the new treatment, and his general condition was optimal during follow-up appointments. Conclusion: The occurrence of SJS may be associated with the oral administration of paracetamol; nevertheless, its use is not discouraged due to its great overall benefits. In this sense, given that paracetamol is an over-the-counter drug widely used in Colombia, recognizing the clinical manifestations of SJS is essential to provide adequate management and avoid complications in cases such as the one reported here.

Resumen Introducción. El síndrome de Stevens-Johnson (SJS) es una enfermedad poco común que afecta la piel y las mucosas oral, ocular y urogenital; además, en más del 50% de los casos es producida por reacciones a medicamentos. Presentación del caso. Hombre de 20 años quien asistió al servicio de urgencias de un hospital de tercer nivel de Popayán (Colombia) por un cuadro clínico de 10 días de evolución consistente en astenia, adinamia, fiebre no cuantificada, tos con escasa expectoración blanquecina y cefalea, sintomatologia que mejoraba con el uso de paracetamol; sin embargo, la condición del paciente empeoró en los últimos dos días, presentando hiporexia, prurito en faringe, vesículas y ampollas en comisuras labiales, mucosa oral, tronco y extremidades, además de dificultad respiratoria y odinofagia, razón por la cual acudió al servicio. En principio de sospechó de herpes simple diseminado, lupus eritema-toso sistêmico, y SJS; sin embargo, con base en los hallazgos clínicos y de laboratorio se confirmó el diagnóstico de SJS con reactivación de herpes simple asociado a la ingesta de paracetamol, por lo que se suspendió este medicamento y se inició manejo con aciclovir y metilprednisolona. El paciente tuvo una evolución satisfactoria y fue dado de alta a los 10 días del inicio del nuevo tratamiento y en las citas de control su condición general era óptima. Conclusiones. El desarrollo de SJS puede estar asociado al consumo de paracetamol; sin embargo, su uso no se desaconseja gracias a sus grandes bondades y beneficios generales. En este sentido, dado que el paracetamol es un medicamento de venta libre y uso extenso en Colombia, es indispensable reconocer las manifestaciones clínicas del SJS para poder dar un manejo adecuado y evitar complicaciones en casos como el aquí reportado.

An IoT and Fog Computing-Based Monitoring System for Cardiovascular Patients with Automatic ECG Classification Using Deep Neural Networks.

Telemedicine and all types of monitoring systems have proven to be a useful and low-cost tool with a high level of applicability in cardiology. The objective of this work is to present an IoT-based monitoring system for cardiovascular patients. The system sends the ECG signal to a Fog layer service by using the LoRa communication protocol. Also, it includes an AI algorithm based on deep learning for the detection of Atrial Fibrillation and other heart rhythms. The automatic detection of arrhythmias can be complementary to the diagnosis made by the physician, achieving a better clinical vision that improves therapeutic decision making. The performance of the proposed system is evaluated on a dataset of 8.528 short single-lead ECG records using two merge MobileNet networks that classify data with an accuracy of 90% for atrial fibrillation.

ME3CA: A Cognitive Assistant for Physical Exercises that Monitors Emotions and the Environment.

Recent studies show that the elderly population has increased considerably in European society in recent years. This fact has led the European Union and many countries to propose new policies for caring services directed to this group. The current trend is to promote the care of the elderly in their own homes, thus avoiding inverting resources on residences. With this in mind, there are now new solutions in this direction, which try to make use of the continuous advances in computer science. This paper tries to advance in this area by proposing the use of a personal assistant to help older people at home while carrying out their daily activities. The proposed personal assistant is called ME3CA, and can be described as a cognitive assistant that offers users a personalised exercise plan for their rehabilitation. The system consists of a sensorisation platform along with decision-making algorithms paired with emotion detection models. ME3CA detects the users' emotions, which are used in the decision-making process allowing for more precise suggestions and an accurate (and unbiased) knowledge about the users' opinion towards each exercise.

EMERALD-Exercise Monitoring Emotional Assistant.

The increase in the elderly population in today's society entails the need for new policies to maintain an adequate level of care without excessively increasing social spending. One of the possible options is to promote home care for the elderly. In this sense, this paper introduces a personal assistant designed to help elderly people in their activities of daily living. This system, called EMERALD, is comprised of a sensing platform and different mechanisms for emotion detection and decision-making that combined produces a cognitive assistant that engages users in Active Aging. The contribution of the paper is twofold-on the one hand, the integration of low-cost sensors that among other characteristics allows for detecting the emotional state of the user at an affordable cost; on the other hand, an automatic activity suggestion module that engages the users, mainly oriented to the elderly, in a healthy lifestyle. Moreover, by continuously correcting the system using the on-line monitoring carried out through the sensors integrated in the system, the system is personalized, and, in broad terms, emotionally intelligent. A functional prototype is being currently tested in a daycare centre in the northern area of Portugal where preliminary tests show positive results.

Survivability Prediction of Colorectal Cancer Patients: A System with Evolving Features for Continuous Improvement.

Prediction in health care is closely related with the decision-making process. On the one hand, accurate survivability prediction can help physicians decide between palliative care or other practice for a patient. On the other hand, the notion of remaining lifetime can be an incentive for patients to live a fuller and more fulfilling life. This work presents a pipeline for the development of survivability prediction models and a system that provides survivability predictions for years one to five after the treatment of patients with colon or rectal cancer. The functionalities of the system are made available through a tool that balances the number of necessary inputs and prediction performance. It is mobile-friendly and facilitates the access of health care professionals to an instrument capable of enriching their practice and improving outcomes. The performance of survivability models was compared with other existing works in the literature and found to be an improvement over the current state of the art. The underlying system is capable of recalculating its prediction models upon the addition of new data, continuously evolving as time passes.

PHAROS-PHysical Assistant RObot System.

The great demographic change leading to an ageing society demands technological solutions to satisfy the increasing varied elderly needs. This paper presents PHAROS, an interactive robot system that recommends and monitors physical exercises designed for the elderly. The aim of PHAROS is to be a friendly elderly companion that periodically suggests personalised physical activities, promoting healthy living and active ageing. Here, it is presented the PHAROS architecture, components and experimental results. The architecture has three main strands: a Pepper robot, that interacts with the users and records their exercises performance; the Human Exercise Recognition, that uses the Pepper recorded information to classify the exercise performed using Deep Leaning methods; and the Recommender, a smart-decision maker that schedules periodically personalised physical exercises in the users' agenda. The experimental results show a high accuracy in terms of detecting and classifying the physical exercises (97.35%) done by 7 persons. Furthermore, we have implemented a novel procedure of rating exercises on the recommendation algorithm. It closely follows the users' health status (poor performance may reveal health problems) and adapts the suggestions to it. The history may be used to access the physical condition of the user, revealing underlying problems that may be impossible to see otherwise.

Activities suggestion based on emotions in AAL environments.

The elderly population is increasing and the response of the society was to provide them with services directed to them to cope with their needs. One of the oldest solutions is the retirement home, providing housing and permanent assistance for the elderly. Furthermore, most of the retirement homes are inhabited by multiple elderly people, thus creating a community of people who are somewhat related in age and medical issues. The ambient assisted living (AAL) area tries to solve some of the elderly issues by producing technological products, some of them dedicated to elderly homes. One of the identified problem is that elderly people are sometimes discontent about the activities that consume most of their day promoted by the retirement home social workers. The work presented in this paper attempts to improve how these activities are scheduled taking into account the elderlies' emotional response to these activities. The aim is to maximize the group happiness by promoting the activities the group likes, minding if they are bored due to activities repetition. In this sense, this paper presents an extension of the Cognitive Life Assistant platform incorporating a social emotional model. The proposed system has been modelled as a free time activity manager which is in charge of suggesting activities to the social workers.

Multidimensional Adaptation in MAS Organizations.

Organization adaptation requires determining the consequences of applying changes not only in terms of the benefits provided but also measuring the adaptation costs as well as the impact that these changes have on all of the components of the organization. In this paper, we provide an approach for adaptation in multiagent systems based on a multidimensional transition deliberation mechanism (MTDM). This approach considers transitions in multiple dimensions and is aimed at obtaining the adaptation with the highest potential for improvement in utility based on the costs of adaptation. The approach provides an accurate measurement of the impact of the adaptation since it determines the organization that is to be transitioned to as well as the changes required to carry out this transition. We show an example of adaptation in a service provider network environment in order to demonstrate that the measurement of the adaptation consequences taken by the MTDM improves the organization performance more than the other approaches.

Síndrome de Paget-Schroetter / Paget-Schroetter syndrome

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Reaching unanimous agreements within agent-based negotiation teams with linear and monotonic utility functions.

In this article, an agent-based negotiation model for negotiation teams that negotiate a deal with an opponent is presented. Agent-based negotiation teams are groups of agents that join together as a single negotiation party because they share an interest that is related to the negotiation process. The model relies on a trusted mediator that coordinates and helps team members in the decisions that they have to take during the negotiation process: which offer is sent to the opponent, and whether the offers received from the opponent are accepted. The main strength of the proposed negotiation model is the fact that it guarantees unanimity within team decisions since decisions report a utility to team members that is greater than or equal to their aspiration levels at each negotiation round. This work analyzes how unanimous decisions are taken within the team and the robustness of the model against different types of manipulations. An empirical evaluation is also performed to study the impact of the different parameters of the model.