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“The most devastating disease to humanity is commonly known as elephantiasis. Infection usually acquired in childhood but visible indication like pain, disfiguring occur later in life. Severely affected people will have a permanent disability. Not only had it generated physical challenges it also cost for social, psychological, and economical losses. The impact of the disease is so painful and devastating among young men and women as they live with the lifelong disfiguring condition. As the parasite attacks directly to the lymphatic system of the body whose primary function is to drain all the harmful components and impurities from tissues and cells also make a strong immune system of the body to fight against infection and diseases. Since the parasite attack damages the lymphatic vessels and capillaries. Hence the effect is on the flow of lymph resulting in lymphoedema. 90% of the cas...
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“The most devastating disease to humanity is commonly known as elephantiasis. Infection usually acquired in childhood but visible indication like pain, disfiguring occur later in life. Severely affected people will have a permanent disability. Not only had it generated physical challenges it also cost for social, psychological, and economical losses. The impact of the disease is so painful and devastating among young men and women as they live with the lifelong disfiguring condition. As the parasite attacks directly to the lymphatic system of the body whose primary function is to drain all the harmful components and impurities from tissues and cells also make a strong immune system of the body to fight against infection and diseases. Since the parasite attack damages the lymphatic vessels and capillaries. Hence the effect is on the flow of lymph resulting in lymphoedema. 90% of the cas...
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This work proposes an algorithm for scalpel region detection using color segmentation and edge detection. The input images are obtained with a fixed camera that has a line of view perpendicular to the scalpel plane. Three squares of red, green and blue colors were added to the scalpel in order to serve as fiducials. For the detection of those marks, the use of two methods was evaluated: One based on the application of thresholds to the color components, and the other based on the use of a fuzzy rule machine. The experimentation shows that both approaches provide similar results. Some morphological operations are then applied in order to detect the scalpel region. The algorithm was successfully tested in several cases, and some examples of the results are presented and analyzed. © 2020 IEEE.
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This paper will briefly overview how the constant development of information and communication technologies (ICTs) has changed the interaction between people today. Real experiences have been transferred to a virtualized method, in this case, the internet. Although the space-time barriers of traditional communication have been fragmented, social relations have become more assertive, but new problems related to different behaviors arise. Bullying is defined as an act that threatens the well-being of a person and becomes cyberbullying when it is carried out over the internet, generating large-scale problems of anxiety, depression, and even the act of suicide, which is why it is essential to detect these malicious behaviors in time. We will use a Natural Language Processing (NLP) tool using Twitter as the basis for the extraction of knowledge bases.
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The project describes the design and implementation of an automatic system for detecting defects in plastic crates for glass bottles. In all companies there is damage and defects in their cases, crates, or containers due to constant use, as they are reusable, and therefore this problem causes various economic losses and a decrease in production, especially in beverage companies. This system was designed to solve and prevent the crates from having defects in their base and containing waste inside, to obtain less product losses in the bottle packaging area. In this research, it is proposed to design the automatic system, which consists of training a convolutional neural network with a database of 136 photographs of waste and defects in the boxes that will be taken by the HQ Raspberry Camera; then programmed into the Raspberry the process of activating the engine so that the box is moved to...
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For social robots, knowledge regarding human emotional states is an essential part of adapting their behavior or associating emotions to other entities. Robots gather the information from which emotion detection is processed via different media, such as text, speech, images, or videos. The multimedia content is then properly processed to recognize emotions/sentiments, for example, by analyzing faces and postures in images/videos based on machine learning techniques or by converting speech into text to perform emotion detection with natural language processing (NLP) techniques. Keeping this information in semantic repositories offers a wide range of possibilities for implementing smart applications. We propose a framework to allow social robots to detect emotions and to store this information in a semantic repository, based on EMONTO (an EMotion ONTOlogy), and in the first figure or table...
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This article presents an analysis of the application of the IDEA technological tool, developed by CaseWare, as a technique to streamline audit processes in the detection of irregularities in government spending, to guarantee the adequate allocation of public resources. The focus is on data review and detection of fraud, suspicious operations, errors, among others. The implementation of the audit using Computer Assisted Audit Techniques (TAACs) is highlighted and its application is illustrated in the context of the advertising expenses of the Ministry of Health (MINSA). A specific case related to suppliers and number of contracts for advertising expenses is explored, where the use of these techniques facilitates the detection of unusual variations and possible errors in the management of funds allocated to advertising for the 2022 and 2023 campaign. of the MINSA. The application of Auditi...
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A software tool was developed in the Imaging Processing Research laboratory (INTI-Lab) that automatically downloads several IONEX files around a specific user input date and also performs statistical calculations to look for ionospheric anomalies through the generation of differential vertical total electron content (ΔVTEC) maps. The IONEX CODE-Database Processing Tool (ICPT) software allows to save a considerable amount of time spended in gathering the necessary IONosphere map EXchange (IONEX) files for the production of differential VTEC maps. Using the ICPT software we were able to detect ionospheric anomalies before the devastating earthquake that happened in Mexico on September 7, 2017. A positive and negative ionospheric anomalies were detected nine days and one day before the seismic event. Due to stable geomagnetic conditions we suggest that the anomalies are assocciated to the ...
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When breast cancer is detected and treated early, the chances of survival are very high. However, women in many settings face complex barriers to early detection, including social, economic, geographic, and other interrelated factors, which can limit their access to timely, affordable, and effective breast health care services. Previously, the Breast Health Global Initiative (BHGI) developed resource-stratified guidelines for the early detection and diagnosis of breast cancer. In this consensus article from the sixth BHGI Global Summit held in October 2018, the authors describe phases of early detection program development, beginning with management strategies required for the diagnosis of clinically detectable disease based on awareness education and technical training, history and physical examination, and accurate tissue diagnosis. The core issues address include finance and governanc...
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To calculate the age of a ceramic by thermoluminescence, it is necessary to measure the natural radioactive dose that the ceramic absorbs each year. This natural radioactive dose comes from radioactive nuclei, which are found as impurities in the soil in which the ceramic was buried and in the ceramic itself, with U-238, Th-232 and K-40 being the radioactive isotopes responsible. for almost the entire natural dose. The radioactive decay series of said isotopes will be in secular equilibrium as long as there is no physical or chemical separation of the formed isotopes, and none of the radioactive nuclei that form the decay series are increased or renewed, which end when a stable Pb core. In some cases however, members of the series may be subject to physical and chemical separation processes that interrupt the decay chains due to the environmental conditions where the decay process occurs...
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Objective: To determine gender based violence prevalence in reproductive health services users and to motivate heath protessionals to detect these cases using an easy questionnaire. DESIGN: Survey type transversal descriptive study. Material and Methods: Two hundred and ninety-eight reproductive health services users at three Lima hospitals, between May and July 2002. Study searched for history of psychological, physical and sexual violence as well as sexual abuse during childhood. Time of violence and the relation between aggressor and the victim were identified. Data was processed with EpiInfo at the Campinas-Brasil University and Inppares. Results: Sixty-one per cent of the women interviewed accepted being victims of some type of violence, including emotional violence 54%, physical violence 32,2%, sexual violence 21, 1 % and childhood sexual violence 19, 1 %. Main aggressors were de c...
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Objective: To determine gender based violence prevalence in reproductive health services users and to motivate heath protessionals to detect these cases using an easy questionnaire. DESIGN: Survey type transversal descriptive study. Material and Methods: Two hundred and ninety-eight reproductive health services users at three Lima hospitals, between May and July 2002. Study searched for history of psychological, physical and sexual violence as well as sexual abuse during childhood. Time of violence and the relation between aggressor and the victim were identified. Data was processed with EpiInfo at the Campinas-Brasil University and Inppares. Results: Sixty-one per cent of the women interviewed accepted being victims of some type of violence, including emotional violence 54%, physical violence 32,2%, sexual violence 21, 1 % and childhood sexual violence 19, 1 %. Main aggressors were de c...
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Potato is economically important in Peru, which is the first potato producer in Latin America, however, the quality of native potatoes need to be improved to increment their consumption. An automatic classification process to detect potato defects is important within the entire production chain to guarantee the high quality of the product. In the present research, a Convolutional Neural Network is used to detect defects in the Huayro potato surface. This is an Andean potato originally from Peru and is special because it has very marked eyes that can complicate the differentiation from pests that leaves holes in the potato. An adaptive learning was proposed in the work, where the principal idea is to evaluate continuously the learning of the neural network to adapt the training process (in this case the training data) to increment the learning performance. The detection results were aroun...
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The present work is the study of the different methods used to determine the toxicity produced by the presence of a contaminating metal in the blood. Mainly, the presence of lead in the blood was taken as a reference to focus the work, knowing that metals like Cadmium (Cd) and Mercury (Hg) are also toxic to health and the environment. Although the information is extensive on the methods to be studied and in some cases it is not detailed to define each process, a comparative study of the most relevant and currently used methods can be carried out, taking into account that the choice will be defined according to the main characteristics of each one. Although all agree to be electrochemical processes, there are details to know which method to choose, either by sensitivity, economic or even structural factors, such as having a laboratory for its development. Environmental pollution with toxi...
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Objectives: To describe the temporomandibular disorders, most prevalent, according to the Helkimo index in the students of Franklin Roosevelt, private university of Huancayo, evaluated at the beginning of the academic semester 2018-I. Material and Methods: we used the scientific method in general and the observational in specific cases. Type of basic research simple descriptive design was used. The population was 2276 students from I to X cycle of both sexes and enrolled in their respective cycles, belonging to the professional schools of the private university of Huancayo Franklin Roosevelt. The sample was 329 selected students with stratified probabilistic sampling. Data collection was carried out through the observation technique and the instrument the clinical record through the Helkimmo test. The methods used for data analysis and processing were through the SPSS V 20 software and E...
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Objectives: To describe the temporomandibular disorders, most prevalent, according to the Helkimo index in the students of Franklin Roosevelt, private university of Huancayo, evaluated at the beginning of the academic semester 2018-I. Material and Methods: we used the scientific method in general and the observational in specific cases. Type of basic research simple descriptive design was used. The population was 2276 students from I to X cycle of both sexes and enrolled in their respective cycles, belonging to the professional schools of the private university of Huancayo Franklin Roosevelt. The sample was 329 selected students with stratified probabilistic sampling. Data collection was carried out through the observation technique and the instrument the clinical record through the Helkimmo test. The methods used for data analysis and processing were through the SPSS V 20 software and E...
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This project was carried out thanks to the scholarship funds for postgraduate studies of CONCYTEC PERU. Also, the tests were performed at the Structures Laboratory of the Pontifical Catholic University of Peru.
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In 2013, clinically suggestive cases of PEDv were reported in pig farms in Lima and Arequipa, reaching up to 100% mortality in piglets and negative results to other viral agents such as classical swine fever (CPPv) and transmissible gastroenteritis (TGEv). For this reason, the aim of this study was to isolate and molecularly detect PEDv strains in Lima pig farms. A total of 37 stool samples and intestinal contents of piglets between 2 and 21 days of age with clinical signs suggestive of PEDv from pig farms of the department of Lima, Peru were collected. Results showed that 94.3% (35/37) were positive by the immunochromatography (IHC) test; 97.1% (34/35) of them were confirmed by RT-PCR real-time that amplified a 101-bp segment of the ORF3 gene of the PEDv. The control and positive samples showed a threshold cycle (Ct) between 10 and 21 cycles with a melting temperature (Tm) of 77.7 °C. ...
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Dental cavities represent a significant global health challenge, particularly in low-and middle-income countries, where early detection and diagnosis can substantially improve clinical outcomes. This study presents the development of a mobile application that utilizes YOLOv7 to detect early carious lesions on intraoral images, intending to provide dental professionals with a tool for timely diagnosis and intervention. The research was carried out in three key phases: analysis of YOLOv7, system development, and validation. The application was trained in a real clinical environment in Peru in collaboration with two independent dentists and their patients in two private clinics. Intraoral images were collected and processed from 40 participants, ensuring complete adherence to the ethical and privacy standards required for clinical studies. The experimental results demonstrated that the appl...
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Remote sensing is widely used to monitor earth surfaces with the main objective of extracting information from it. Such is the case of water surface, which is one of the most affected extensions when flood events occur, and its monitoring helps in the analysis of detecting such affected areas, considering that adequately defining water surfaces is one of the biggest problems that Peruvian authorities are concerned with. In this regard, semiautomatic mapping methods improve this monitoring, but this process remains a time-consuming task and into the subjectivity of the experts.In this work, we present a new approach for segmenting water surfaces from satellite images based on the application of convolutional neural networks. First, we explore the application of a U-Net model and then a transfer knowledge-based model. Our results show that both approaches are comparable when trained using ...