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espanolEl presente trabajo tiene como objetivo el desarrollo de un sistema de en la cual se propone sistematizar el proceso de la redaccion y generacion de historiales medicos con los cuales se propone la reduccion del tiempo de la generacion de historiales y la reduccion de recursos fisicos, especialmente en lo que respecta al uso del papel, la cual los especialistas de la salud redactan en el transcurso de una consulta medica, esto ademas implicaria en la optimizacion en la gestion de los historiales medicos. El sistema planteado a desarrollar consiste en la aplicacion del mecanismo de la firma digital en base al metodo de la criptografia asimetrica o tambien llamada criptografia de clave publica. Esta tecnologia se aplicara principalmente mediante la aplicacion de dos herramientas contempladas para el uso de la firma digital: el sistema RSA (Rivest, Shamir y Adleman) y la funcion hash SHA-256. La aplicacion de la firma digital a los historiales medicos se mostrara implementada a traves del manejo de interfaces graficas que esta planteada para que el especialista pueda redactar y manejar los historiales a su conveniencia. El sistema abordara el uso del lenguaje de programacion Python y el conjunto de herramientas OpenSSL para las funciones criptograficas y PyQt5 para el desarrollo a nivel interfaces graficas. Se propone esta solucion debido a que la tecnologia de firma digital se ha planeado y posteriormente se ha estado desarrollando desde la decada de 1980, son en estos ultimos anos que esta tecnologia ha sido tomada mas en cuenta para el manejo de documentos, y como este caso, de los historiales medicos. EnglishThe present work aims to develop a system in which it is proposed to systematize the process of writing and generating medical records which is proposed to reduce the time of generation of records and the reduction of physical resources, especially regarding the use of paper, which health specialists write in the course of a medical consultation, this would also imply the process of optimization in the management of medical records. The proposed system to develop consists of the application of the digital signature mechanism based on the method of asymmetric cryptography or also called public key cryptography. This technology is applied mainly through the application of two tools contemplated for the use of the digital signature: the RSA system (Rivest, Shamir and Adleman) and the SHA-256 hash function. The application of the digital signature to medical records will be implemented through the handling of graphical interfaces that is proposed so that the specialist can write and manage the records at his convenience. The system will address the use of Python programming language and the software libraries OpenSSL applied for cryptographic functions and PyQt5 for development at the graphical interface level. This solution is proposed because digital signature technology has been planned and has been subsequently developed since the 1980s, it is in recent years that this technology has been taken more into account for document management, and like this case, medical records.

This research work has a great influence on the physical security of the urban infrastructure and the citizens of our capital city, that is why it is necessary to apply prevention strategies since our city is located in a very vulnerable area to seismic events, mainly huaycos, floods and landslides, settlements, landslides and other superficial mass movements, so it is necessary to have knowledge of the causes and effects of these phenomena, the different types and carrying capacity of soils in the districts of Metropolitan Lima, in order to contribute to the knowledge of the degree of vulnerability in which urban areas, marginal urban areas, human settlements are exposed. In conclusion, surveys of public servants allowed us to determine that only 55% of them know the meaning of risk and vulnerability, so 45% are totally unaware of these terms. Likewise, surveys of the general public on the lack of a prevention culture, 83% indicated that they did, hence the need to apply a course or training on disaster risk management issues at all educational levels.

This research tries to establish the degree of influence exerted by the design and use of a Balanced Scorecard (BSC), as a support to the Standard CMMI Appraisal Method for Process Improvement SCAMPI of the CMMI-DEV constellation, in recognition of the level of maturity of the software process, due to the efficiency and effectiveness provided by its application in practical life. In addition, it uses the Systemic Approach to conceive the problem comprehensively, under a holistic perspective, covering the relationships of each element within the system and its relationships with external agents; the applied methodology consists in the collection, tabulation, and analysis of the antecedents that have been obtained for its direct validation during development, that is, the management of cause-effect variables, where the independent or experimental variable is of interest to the researcher because the variable that is hypothesized (X), is one of the causes that produce the supposed effect. As a result of the effectiveness of the SCAMPI evaluation process, going from 72.7% to 92.7%; This is equivalent to a 26.4% improvement in performance, increasing from 10.9 correct evaluations to 13.9 for conducting such evaluations.

The purpose of the research was to determine the influence of industrial wastewater treatment using the Lemna Minor aquatic plant. Certain varieties of macrophyte plants can absorb or retain various contaminants. Thanks to this, it has been determined that the variety known as Lemna Minor presents this type of property. Three treatment trials were carried out varying the amounts of Lemna Minor (100, 200, and 300g). They are keeping constant the retention time of 10 days that were analyzed at 3, 6, and 10 days after the treatment and with a constant volume of the residual effluent. The results indicate that in terms of the parameters that determine organic contamination, BOD was reduced by (61 %); COD was reduced by (68 %) and the concentration of total suspended solids by (61 %).

The purpose of this research was to determine an alternative formula for calculating the Darcy coefficient in turbulent flow in pipes. The proposed alternate formula is an explicit formula that should be used to replace the Colebrook-White formula for calculating the Darcy coefficient in turbulent flow in pipes since it has higher precision than the explicit formulas that are currently in use. In this investigation, the alternate formula was compared with two explicit formulas commonly used in pipe design, the Swamee-Jain and Pavlov formulas. To determining which formula is better, all of them were compared with the Colebrook-White formula. For this, the average percentage and maximum percentage errors of the Darcy coefficient values calculated with each of the explicit formulas were determined, with the values obtained with the Colebrook - White formula. It was determined that the maximum errors in the calculation of the Darcy coefficient concerning the Colebrook-White formula were: 3,104% for the Swamee-Jain formula, 7,973% for the Pavlov formula and 2,740% for the alternate formula.

This paper presents a technical proposal for the application of experimental designs in the construction processes of civil works, specifically in the manufacture of concrete for rigid pavements. Currently is still does not apply these technological advances, or any application of research methods that allows optimizing processes to more satisfactory levels, despite the advantages and benefits they provide in terms of achieving unexpected performance and significant savings of component materials. The experimental design model is a classic statistical model whose objective is to determine if the independent factors influence in a variable of interest in this case the modulus of breakage of the concrete or in another important factor, during the bending test. The answer surface methodology is based on the experimentation in three stages, the results achieved allow locating an optimal area where the adjusted values lead to reduced consumption of them and expanding the strength of the concrete.

In software development, sometimes experienced programmers have difficulty determining before performing their tests, which algorithm will work best to solve a particular problem, and the answer to the question will always depend on the type of problem and nature of the data to be used, in this situation, it is necessary to identify which indicator is the most useful for a specific type of problem and especially in route optimization. Currently, there are techniques and algorithms used in Artificial Intelligence, which, however, cannot display their potential without a well-defined data set. The paper seeks to explain and propose an algorithm selection indicator to build a consistent data set, given the lack of availability of data that allows the best route size decision to be made.

This paper proposes to improve the process of technological renewal in data centers with the implementation of hyperconverged systems, through the virtualization of physical equipment, networks, storage and systems, to achieve cost reduction in critical areas such as: maintenance, consumption of energy, data center space and the optimization of the resources necessary for the administration and specialization of the IT team. The proposed methodology HSA (Hyperconverged Systems Applied), considers the planning and implementation of an integral IT architecture that combines software with high-level servers that can host systems capable of providing support and continuity of IT services, to design, implement and manage the technology in an orderly manner, reducing management efforts and increasing the organization's ability to support new projects. According to the results obtained with the application of the HSA methodology, it was reduced the size of virtualized systems by an average of 33.33% and the amount of non-virtualized technology by an average of 44.33%, depending on the cases evaluated was increased the level of IT team experience at 56.67% when managing more technology with less staff

The automatic detection of facial expressions is an active research topic, since its wide fields of applications in human-computer interaction, games, security or education. However, the latest studies have been made in controlled laboratory environments, which is not according to real world scenarios. For that reason, a real time Facial Expression Recognition System (FERS) is proposed in this paper, in which a deep learning approach is applied to enhance the detection of six basic emotions: happiness, sadness, anger, disgust, fear and surprise in a real-time video streaming. This system is composed of three main components: face detection, face preparation and face expression classification. The results of proposed FERS achieve a 65% of accuracy, trained over 35558 face images..