bluuebunny/crossref_metadata_2025 huggingface dataset:
Estimating the Product of the X-ray Spectrum and Quantum Detection Efficiency of a CT System and Its Application to Beam Hardening Correction
Authors: Lifton Joseph J. , Malcolm Andrew A.
Published: May 2021

Lab-based X-ray computed tomography (XCT) systems use X-ray sources that emit a polychromatic X-ray spectrum and detectors that do not detect all X-ray photons with the same efficiency. A consequence of using a polychromatic X-ray source is that beam hardening artefacts may be present in the reconstructed data, and the presence of such artefacts can degrade XCT image quality and affect quantitative analysis. If the product of the X-ray spectrum and the quantum detection efficiency (QDE) of the detector are known, alongside the material of the scanned object, then beam hardening artefacts can be corrected algorithmically. In this work, a method for estimating the product of the X-ray spectrum and the detector’s QDE is offered. The method approximates the product of the X-ray spectrum and the QDE as a Bézier curve, which requires only eight fitting parameters to be estimated. It is shown experimentally and through simulation that Bézier curves can be used to accurately simulate polychromatic attenuation and hence be used to correct beam hardening artefacts. The proposed method is tested using measured attenuation data and then used to calculate a beam hardening correction for an aluminium workpiece; the beam hardening correction leads to an increase in the contrast-to-noise ratio of the XCT data by 41% and the removal of cupping artefacts. Deriving beam hardening corrections in this manner is more versatile than using conventional material-specific step wedges.
Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform
Authors: Neukirch Maik , García-Jerez Antonio , Villaseñor Antonio , Luzón Francisco , Ruiz Mario , Molina Luis
Published: May 2021

The Horizontal-to-Vertical Spectral Ratio (HVSR) of ambient vibration measurements is a common tool to explore near surface shear wave velocity (Vs) structure. HVSR is often applied for earthquake risk assessments and civil engineering projects. Ambient vibration signal originates from the combination of a multitude of natural and man-made sources. Ambient vibration sources can be any ground motion inducing phenomena, e.g., ocean waves, wind, industrial activity or road traffic, where each source does not need to be strictly stationary even during short times. Typically, the Fast Fourier Transform (FFT) is applied to obtain spectral information from the measured time series in order to estimate the HVSR, even though possible non-stationarity may bias the spectra and HVSR estimates. This problem can be alleviated by employing the Hilbert–Huang Transform (HHT) instead of FFT. Comparing 1D inversion results for FFT and HHT-based HVSR estimates from data measured at a well studied, urban, permanent station, we find that HHT-based inversion models may yield a lower data misfit χ2 by up to a factor of 25, a more appropriate Vs model according to available well-log lithology, and higher confidence in the achieved model.
A Low-Cost IoT System for Real-Time Monitoring of Climatic Variables and Photovoltaic Generation for Smart Grid Application
Authors: Melo Gustavo Costa Gomes de , Torres Igor Cavalcante , Araújo Ícaro Bezzera Queiroz de , Brito Davi Bibiano , Barboza Erick de Andrade
Published: May 2021

Monitoring and data acquisition are essential to recognize the renewable resources available on-site, evaluate electrical conversion efficiency, detect failures, and optimize electrical production. Commercial monitoring systems for the photovoltaic system are generally expensive and closed for modifications. This work proposes a low-cost real-time internet of things system for micro and mini photovoltaic generation systems that can monitor continuous voltage, continuous current, alternating power, and seven meteorological variables. The proposed system measures all relevant meteorological variables and directly acquires photovoltaic generation data from the plant (not from the inverter). The system is implemented using open software, connects to the internet without cables, stores data locally and in the cloud, and uses the network time protocol to synchronize the devices’ clocks. To the best of our knowledge, no work reported in the literature presents these features altogether. Furthermore, experiments carried out with the proposed system showed good effectiveness and reliability. This system enables fog and cloud computing in a photovoltaic system, creating a time series measurements data set, enabling the future use of machine learning to create smart photovoltaic systems.
Fatigue Crack Monitoring of T-Type Joints in Steel Offshore Oil and Gas Jacket Platform
Authors: Ali Liaqat , Khan Sikandar , Bashmal Salem , Iqbal Naveed , Dai Weishun , Bai Yong
Published: May 2021

Several approaches have been used in the past to predict fatigue crack growth rates in T-joints of the offshore structures, but there are relatively few cases of applying structural health monitoring during the non-destructive testing of jacket platforms. This paper presents an experimental method based on the sensing of the piezoelectric sensors and finite element analysis method for studying the fatigue cracks in the offshore steel jacket structure. Three types of joints are selected in the current research work: T-type plate, T-type tube-plate, and T-type tube joints. The finite element analysis model established in the current study computes and analyzes the high stress and high strain regions in the T-type joints. The fatigue damage in the T-type joints was successfully detected by utilizing both the finite element analysis and experimental methods. The results showed that fatigue cracks of the three types of joints are prone to appear at the weld toe and spread in the welding direction. The fatigue damage location of T-type plate and T-type tube-plate joints is more concentrated in the upper weld toe area, and the fatigue damage location of the T-type tube joint is closer to the lower weld toe area.
Probabilistic Load Forecasting Optimization for Building Energy Models via Day Characterization
Authors: Lucas Segarra Eva , Ramos Ruiz Germán , Fernández Bandera Carlos
Published: May 2021

Accurate load forecasting in buildings plays an important role for grid operators, demand response aggregators, building energy managers, owners, customers, etc. Probabilistic load forecasting (PLF) becomes essential to understand and manage the building’s energy-saving potential. This research explains a methodology to optimize the results of a PLF using a daily characterization of the load forecast. The load forecast provided by a calibrated white-box model and a real weather forecast was classified and hierarchically selected to perform a kernel density estimation (KDE) using only similar days from the database characterized quantitatively and qualitatively. A real case study is presented to show the methodology using an office building located in Pamplona, Spain. The building monitoring, both inside—thermal sensors—and outside—weather station—is key when implementing this PLF optimization technique. The results showed that thanks to this daily characterization, it is possible to optimize the accuracy of the probabilistic load forecasting, reaching values close to 100% in some cases. In addition, the methodology explained is scalable and can be used in the initial stages of its implementation, improving the values obtained daily as the database increases with the information of each new day.
Multiphase Identification Algorithm for Fall Recording Systems Using a Single Wearable Inertial Sensor
Authors: Hsieh Chia-Yeh , Huang Hsiang-Yun , Liu Kai-Chun , Liu Chien-Pin , Chan Chia-Tai , Hsu Steen Jun-Ping
Published: May 2021

Fall-related information can help clinical professionals make diagnoses and plan fall prevention strategies. The information includes various characteristics of different fall phases, such as falling time and landing responses. To provide the information of different phases, this pilot study proposes an automatic multiphase identification algorithm for phase-aware fall recording systems. Seven young adults are recruited to perform the fall experiment. One inertial sensor is worn on the waist to collect the data of body movement, and a total of 525 trials are collected. The proposed multiphase identification algorithm combines machine learning techniques and fragment modification algorithm to identify pre-fall, free-fall, impact, resting and recovery phases in a fall process. Five machine learning techniques, including support vector machine, k-nearest neighbor (kNN), naïve Bayesian, decision tree and adaptive boosting, are applied to identify five phases. Fragment modification algorithm uses the rules to detect the fragment whose results are different from the neighbors. The proposed multiphase identification algorithm using the kNN technique achieves the best performance in 82.17% sensitivity, 85.74% precision, 73.51% Jaccard coefficient, and 90.28% accuracy. The results show that the proposed algorithm has the potential to provide automatic fine-grained fall information for clinical measurement and assessment.
Node Selection Algorithm for Network Coding in the Mobile Wireless Network
Authors: Jiang Dexia , Li Leilei
Published: May 2021

In the multicast network, network coding has proven to be an effective technique to approach maximum flow capacity. Although network coding has the advantage of improving performance, encoding nodes increases the cost and delay in wireless networks. Therefore, minimizing encoding nodes is of great significance to improve the actual network’s performance under a maximum multicast flow. This paper seeks to achieve partial improvements in the existing selection algorithm of encoding nodes in wireless networks. Firstly, the article gives the condition for an intermediate node to be an encoding node. Secondly, a maximum flow algorithm, which depends on the depth-first search method, is proposed to optimize the search time by selecting the larger augmentation flow in each step. Finally, we construct a random graph model to simulate the wireless network and the maximum multicast flow algorithm to analyze the statistical characteristics of encoding nodes. This paper aims at the optimization to find the minimal number of required coding nodes which means the minimum energy consumption. Meanwhile, the simulations indicate that the curve of coding nodes tends to be a geometric distribution, and that the curve of the maximum flow tends to be symmetric as the network scale and the node covering radius increase.
Veterinary Healthcare Provision and Quality of Reported Data on Antimicrobial Use in the Treatment of Livestock in Sierra Leone, 2016–2019
Authors: Leno Amara , Kizito Walter , Jalloh Amadu Tejan , Bah Mohamed Alpha , Kamara Sorie Mohamed , Zolfo Maria , Sheriff Amara Aidara , Hann Katrina , Thekkur Pruthu , Kumar Ajay M. V.
Published: May 2021

Antimicrobials help in the prevention and treatment of infections and are crucial for animal production, but overuse can result in antimicrobial resistance. Hence, understanding data quality on livestock antimicrobial use is essential. We assessed frequency of reporting, completeness, and concordance of reported data and availability of human resources and infrastructure in 14 districts in Sierra Leone. This was a cross-sectional study involving a review of district and sub-district animal treatment forms submitted from January 2016 to August 2019. Out of the 14 districts, only 3 had filled forms available for review: A total of 6 (0.97% of 616 expected) district forms and 79 (1.15% of 6840 expected) sub-district forms. Data between district and sub-district treatment forms were fully discordant. Hence, completeness of data could not be assessed. All districts had livestock officers (barring one) and livestock assistants but no veterinarians. The gap in community animal health workers ranged from 14 to 100% per district. No districts had a functional computer or internet access. Reporting was non-existent in 11 districts and poor in the other 3. Resources are urgently needed to address critical gaps in human resources and capacity and computer and Internet connectivity to develop critical One Health surveillance functions at the national and sub-national levels.
Sensorless Control Strategy of a Permanent Magnet Synchronous Motor Based on an Improved Sliding Mode Observer
Authors: Gao Wengen , Zhang Gang , Hang Mengxun , Cheng Sirui , Li Pengfei
Published: May 2021

This paper analyzes the problems and the reasons of high frequency chattering, phase delay, unmanageable with low-speed rotation in the traditional SMO control strategy of the sensor-less control strategy of a permanent magnet synchronous motor based on the traditional sliding mode observer. Aiming at the shortcomings of the above-mentioned traditional SMO control strategy, an improved SMO control strategy is presented by replacing the signum function in the traditional synovial observer with the sigmoid function to reduce the high frequency chattering of the system. Meanwhile, the proposed improved SMO control strategy introduces an adaptive filter to eliminate harmonics and chattering, and adaptively compensates the estimated back-EMF value to reduce the estimation error caused by the phase delay. The improved SMO strategy was tested through Matlab/Simulink simulation and real experiments respectively. The results verified that the improved SMO strategy can significantly reduce chattering and phase delay and achieve good control performance at low speeds, as well as maintain good performance at full speed.
Caracterización de la carne de cuy empacado al vacío. Un estudio para su exportación
Authors: Estrada Miño Elsa Elisa , Velastegui Bosquez Grace Alexandra
Published: May 2021

Los cambios de hábitos en el consumo de alimentos, insinúan productos de fácil preparación y oportuna adquisición en supermercados, es así como la carne de cuy, por su alto valor nutritivo, es clave para la seguridad alimentaria. Así pues, el objetivo de la investigación fue caracterizar la carne de cuy empacado al vacío para su exportación. La metodología se concretó en el análisis de la cadena de comercialización con especial atención en los actores más importantes. La carne se caracterizó utilizando análisis de varianza para las diferencias y comparación de medias, según Duncan (p<0.05), desde el punto de vista físico-químico, microbiológico y sensorial. Para incrementar las exportaciones, es de vital importancia aumentar la producción para ello es indispensable que los pequeños y grandes criaderos se asocien y trabajen en forma conjunta y por un mismo objetivo.
Naturaleza de los indicadores de gestión en las empresas de rehabilitación de pozos
Authors: Urdaneta Lenín
Published: May 2021

En la investigación se analizó la naturaleza de los indicadores de gestión aplicados en las empresas de rehabilitación de pozos. Se clasificó como descriptiva, con un diseño no experimental, transeccional y de campo. Los datos se recolectaron de las empresas prestatarias del servicio de rehabilitación de pozos a la industria petrolera venezolana en el Lago de Maracaibo. La técnica de recolección de datos fue la encuesta y el instrumento un cuestionario de respuesta con escala dicotómica. Se utilizó el método de juicio de expertos para darle validez al mismo y se aplicó el coeficiente estadístico Küder–Richardson para el cálculo de su confiabilidad, resultando 0,923. Se concluye que estos tipos de indicadores, aun cuando son una herramienta útil en el proceso de evaluación, existe una baja aplicación de ellos con lo cual se logre reflejar el comportamiento de los signos vitales o factores clave de las empresas analizadas.
PERFIL DE RESISTÊNCIA BACTERIANA EM OTITES EXTERNAS DE CÃES ATENDIDOS EM HOSPITAL VETERINÁRIO
Authors: Braga Fabio  Ribeiro
Published: May 2021

O objetivo deste trabalho foi identificar a microbiota e descrever o perfil de sensibilidade das bactérias aos antimicrobianos em cães com otite externa atendidos em serviço hospitalar médico veterinário. Para isso, foram analisadas 559 amostras otológicas de cães com sinais clínicos de otite externa submetidas à cultura e antibiograma. Houve crescimento de microrganismos em 93,6% (523/559) das amostras, sendo que em 88,5% (463/523) houve crescimento de bactérias, 5,7% (30/523) crescimento de leveduras e 5,7% (30/523) infecções mistas. Foram obtidas 702 cepas, sendo Staphylococcus spp. 55,1% (387/702), Pseudomonas spp. 11,8% (83/702) e Proteus mirabilis 9,8% (69/702) os agentes bacterianos mais isolados. Dentre as leveduras, Malassezia pachydermatis 10,3% (54/523) foi a mais freqüente. Em relação aos resultados do perfil de sensibilidade das bactérias aos antimicrobianos, observou-se que as bactérias Gram-positivas Staphylococcus spp. e Streptococcus spp. apresentaram maior sensibilidade a amoxicilina + ácido clavulânico, com 92,5% e 100% das cepas sensíveis. Já as bactérias Gram-negativas Pseudomonas spp., P. mirabilis e Escherichia coli, apresentaram sensibilidade superior a 90% a tobramicina. Dentre todos os agentes bacterianos, Pseudomonas spp. foi o que demonstrou as maiores taxas de resistência frente a amoxicilina + ácido clavulânico (6,2%), cefalexina (7,4%) e sulfametoxazol + trimetoprima (13,6%). Os resultados do presente estudo indicaram que a maior parte das otites externas em cães está relacionada com infecções bacterianas, demonstrando a importância da realização de cultura bacteriana associada aos testes de sensibilidade aos antimicrobianos para corretos diagnóstico e tratamento dessas infecções.
The effects of endocrine disruptors on fish
Authors: Arslan Pınar , Özeren Saniye Cevher , Yurdakök Dikmen Begüm
Published: May 2021

Nowadays, there are a lot of researches about the effects of endocrine disruptors on human and wildlife organisms. Endocrine disruptors are exogenous substances or substance mixtures that cause undesired effects in the organism or in future generations by altering the endocrine system of the exposed organism. Fish are exposed to endocrine disruptors in several ways including water, sediment, and diet. The toxic effects of endocrine disruptors on fish vary according to the exposure period, duration of exposure, chemical properties of the substances, and whether the exposed substance is single or mixed with other substances. Within the scope of this review, the classification of endocrine disruptors, their usage areas, their way of mixing into the aquatic ecosystem, and their toxic effects on fish will be explained.
Caracterización para la vinculación con la sociedad: caso de estudio Parroquia El Quinche
Authors: Durán Chávez Carlos Eduardo , Fuentes Aguila Marily Rafaela , Sandoval Yuqui Pamela Anahí
Published: May 2021

El presente estudio tuvo como propósito evaluar la importancia que tienen los proyectos de investigación y vinculación con la sociedad en el Ecuador, como parte de las funciones sustantivas de la educación superior. En este sentido, se analizan las acciones realizadas a propósito de dichos proyectos, por parte de los estudiantes y profesores de la carrera de Derecho de la Universidad Metropolitana del Ecuador (UMET), enfocándose específicamente en la Parroquia rural El Quinche. Es una investigación de tipo jurídica, analítica y descriptiva, en la cual se aplicaron encuestas a los habitantes de la parroquia, para de esta manera poder obtener los resultados de los diferentes problemas que existen en este sector. En el análisis de las encuestas se muestra que una de las principales dificultades que afectan a la parroquia es la inseguridad, es por esto que se proponen algunas temáticas a tratar con el objetivo de orientar en la solución de los problemas observados en la zona.
La psicomotricidad como una herramienta del juego terapéutico implementada en un centro de estimulación multisensorial
Authors: Apan-Araujo Karla Cecilia , Soriano-Porras Dulce María , Martínez-Téllez Rubelia Isaura , Romero-Rodríguez Gabriel
Published: May 2021

The present investigation shows the way to work the psychomotricity as a tool of the therapeutic game implemented in a Multisensory Stimulation Center (CEMS) which is located in the Universidad Politécnica de Amozoc, Puebla, Mexico. The objectives are: a) Determine the level of psychomotor development in preschoolers, b) Develop a plan of playful strategies that contribute to psychomotor development, c) Evaluate the psychomotor development of children once the activities have been implemented. For this, educational activities were designed with third year preschool children, where previously a group of children was assessed using a specific test to determine their level of psychomotricity according to their development, which were reported by their teachers. Subsequently, the population to work was selected and a series of activities supported by means of therapeutic play were established, in such a way that they potentiated their psychomotor development. Finally, the contribution of this research is to demonstrate the impact that is obtained in psychomotor development through therapeutic play in preschool children.
Instrumentación electrónica de una estación meteorológica automática
Authors: Romero-Rodríguez Gabriel , Huesca-Lazcano Erick Eduardo , Flores-Ramírez Óscar , Martínez-Ángeles Jorge Rafael
Published: May 2021

Climatological studies present a common restriction in decisionmaking based on meteorological data, since climate models often lack precise values of their parameters depending on the geographical point where the information is acquired, therefore, climate acquisition in specific geographical positions is an interesting possibility. The objective of the present study was to develop the electronic instrumentation of an automatic weather station (AWS) using a controlling medium with sensors that measure air and soil temperature (°C), relative humidity (%), solar radiation (Wm2 ) and wind speed (m/s). The acquired data were compared with commercial stations Vantage Pro (VP) and GroWeather (GW) of the Davis Instruments family where an R2 of 0.93 was obtained in Temperature and Relative Humidity of the air and an R2 of 0.94 for solar radiation. Thus, the developed AWS presents benefits in the quality of the acquired data that can be used for studies of mathematical modeling and generation of decision-making.
Noruega: desarrollo humano
Authors:   Universidad Autónoma de Zacatecas, Córdova González Claudia Angélica
Published: May 2021

El desarrollo sólo tiene sentido en la medida en que impacta favorablemente a la calidad de vida. El Índice de Desarrollo Humano del Programa de las Naciones Unidas para el Desarrollo integra la esperanza de vida, educación, analfabetismo, pobreza, equidad de género, entre otros. Durante diez años, aunque no de manera consecutiva, Noruega aparece situada en el primer lugar de dicho índice. En este texto se revisa dicha experiencia de alto desarrollo humano.
Nanotecnología y trabajadores: Declaración de Curitiba
Authors:   Universidad Autónoma de Zacatecas, Foladori Guillermo , Appelbaum Richard ,   Universidad de California, Santa Barbara, Invernizzi Noela ,   Universidad Federal de Paraná, Záyago Lau Edgar ,   Universidad Autónoma de Zacatecas
Published: May 2021

El 5 de septiembre de 2013 la Red Latinoamericana de Nanotecnología y Sociedad (ReLANS) en colaboración con el Center for Nanotechnology in Society (CNS) organizó el primer Seminario Internacional sobre Nanotecnología y Trabajo en la ciudad de Curitiba, Brasil. El encuentro fue realizado durante el primer día de sesiones del II Seminario Internacional Nanotecnología y Sociedad en América Latina. El seminario fue apoyado financieramente por el fondo de la Cátedra McArthur en Global & International Studies and Sociology de la Universidad de California-Santa Barbara, el Conselho Nacional de Desenvolvimento Científico e Tecnologico (CNPq), la Coordenaçao del Aperfeiçoamento de Pessoal de Nível Superior (Capes) y la Fundaçao Araucária.
El referente trizado: Los discursos intermitentes del documental político chileno
Authors: Ossa Carlos
Published: May 2021

El artículo propone una revisión de los cambios del documental político, a partir de giros epocales, transfiguraciones narrativas, modificaciones de significantes ópticos y conflictividades culturales. La premisa básica es que lo social no es sólo un contenido militante, sino una forma visual que va cambiando de formato, memoria y sentido según las configuraciones del tiempo histórico y de las ideologías estéticas.
Publicidad Social e Inteligencia territorial en el contexto de la propagación de Didymosphenia geminata en las zonas de Villarrica-Pucón y Panguipulli
Authors: Peña Galaz Felipe Ignacio
Published: May 2021

El Didymosphenia Geminata, desde su aparición en Chile en el año 2010, específicamente en la zona de Futaleufú, es monitoreado por SUBPESCA a través de su Fondo de Investigación Pesquero y Acuicultura (Fipa), de este modo capacita y difunde sobre los efectos de la propagación de la microalga Didymo, la que está presente en Chile entre las regiones del Biobío y Magallanes. La plaga ha sido foco de vigilancia, detección y control, junto a campañas de comunicación y publicidad social por parte de SERNAPESCA y organismos privados de consultoría.

El  Didymo es una alga que habita en aguas frías continentales, prospera en una amplia gama de condiciones hidráulicas (Kilroy et al. 2005). La literatura científica la describe como una microalga de gran propagación y al hombre como principal vector de transmisión. Localidades de Villarrica, Pucón y Panguipulli, son zonas declaradas con la plaga Didymo en sus ríos. En este escenario, se elaboró un estudio etnográfico a través de la observación en las localidades mencionadas.
El efecto policía. La episteme policial como modernidad
Authors: Karmy Bolton Rodrigo
Published: May 2021

El trabajo dispone una serie de elementos teóricos que se dirigen a una puesta en cuestión conjunta tanto de la noción de soberanía así como del carácter policial en el que se despliega. De este modo, el dispositivo policial de la soberanía moderna garantiza la reproducción del orden como un montaje permanente carente de sustancia y soporte. En un segundo momento, el texto  muestra la articulación en virtud de la cual la soberanía se  configura policialmente a partir de una lógica de administración de los efectos. Finalmente, se acude a la noción de imagen como concepto que, bajo el prisma de la representación,  permite a la soberanía erigirse bajo el modo de un espectáculo que mediatiza y escenifica un tipo de sujeto dócil a su racionalidad.
Opacidad en deuda
Authors: Morales Salazar Rodrigo
Published: May 2021

Escrito articulado en tres movimientos: el primero de ellos, revisa la posibilidad de pensar el poema como acceso, deuda y exacción, basado en los escritos de Jean-Luc Nancy, especialmente en su ensayo “Hacer, la poesía”. El segundo momento se vincula con pensar el poema en relación con la violencia que lo constituye. Y, por último, nos acercamos al pensamiento de Maurice Blanchot, para indagar sobre el estrecho vínculo entre poema y desastre.
Mundo virtual y capital: Circulación y velocidad
Authors: Cataldo González Héctor
Published: May 2021

El artículo se sumerge en un análisis del mundo virtual tomando en consideración la dicotomía mente/cuerpo. En este análisis se toman prestadas problematizaciones y conceptos de variados autores para sostener la tesis de que el mundo virtual es la expresión técnica de la circulación de mercancías y capital, cuyo concepto clave es el de velocidad. A partir de este concepto se comprenden los conceptos de consumo y desechabilidad, al mismo tiempo que se homologan al de anulación de distancia en el mundo virtual.
Negros e infectados: teratología y orientalismo en la producción de lo haitiano en medios de comunicación durante la pandemia Covid-19 en Chile
Authors: Calquín Donoso Claudia
Published: May 2021

En este trabajo de reflexión  discuto y problematizo las estrategias y representaciones discursivas de “lo haitiano” en algunas noticias sobre el contagio del Covid-19 en Chile. A partir de los conceptos de standpoint, nomadismo, orientalismo y otras conceptualizaciones elaboradas por los estudios críticos de la raza  y la blanquitud (SWC), analizo la producción política de la diferencia cultural en los medios informativos, y su performatividad para la conformación de posiciones-sujetos del yo y lo otro, así como sus efectos de estigmatización y exclusión de las comunidades migrantes racializadas. Cruza el ensayo, la crítica a las políticas de integración y el rescate de la potencia afirmativa de los otros y lo monstruoso como claves para una política queer de la raza.
Ciencia, universidad y sociedad: Aportes y desafíos para una comunicación pública de la ciencia con perspectiva crítica
Authors: Vignale Julieta
Published: May 2021

Este texto tiene como propósito reflexionar sobre la comunicación pública de la ciencia (CPC) en tanto disciplina y sus implicancias dentro de la comunidad científica hacia la sociedad. En estas líneas se acercan diálogos y trayectorias teóricas a través de algunos autores referentes del campo de estudio, que permiten visibilizar tensiones existentes. Se hace imprescindible analizar la concepción tradicional de los públicos y los objetivos del ‘para qué’ comunicar ciencia. Esta reflexión se desarrolla a partir de las aproximaciones teóricas sobre comunicación pública de la ciencia y sus desafíos actuales en el marco de profesionalización y desarrollo del campo CTI (Ciencia, Tecnología e Innovación), para considerar las vinculaciones de la ciencia en la universidad y el desafío de las Ciencias Sociales, en tanto disciplina transformadora, como aporte a la perspectiva crítica en las sociedades latinoamericanas.
Análisis de la cobertura de la prensa digital chilena durante la discusión legislativa de la Ley de Identidad de Género en 2018
Authors: Ibarra Yáñez Pía , Amoyao Bravo Camila , Román Álvarez Eduardo
Published: May 2021

Este artículo analiza la cobertura de los medios digitales sobre la discusión de la Ley de Identidad de Género en Chile en septiembre de 2018. El estudio fue abordado durante tres días antes de la votación, el día del debate en el Congreso y tres días después de aprobada. Se busca mostrar de qué forma los medios de comunicación digital construyeron realidad, siendo el principal objetivo analizar la cobertura de la prensa digital durante ese episodio, sosteniendo como hipótesis que la prensa realizó una cobertura poco acuciosa, principalmente por el manejo de las fuentes. Se analizaron datos obtenidos a través de la plataforma NewsReport, arrojando la distribución de los medios con mayor cobertura de la noticia, los actores políticos más relevantes, las palabras claves y fuentes de las noticias, y el marco temporal de mediatización. Se concluye que la prensa tendió a la neutralidad pero con un manejo de fuentes precario.
DESIGN OPTIMIZATION AND PERFORMANCE TEST OF MAGNETIC PICKUP FINGER SEED METERING DEVICE
Authors: Liu Fei , Lin Zhen , Li Dapeng , Zhang Tao
Published: May 2021

As the core part of precision seeder, the performance of pickup finger seed metering device directly affects the seeding quality. Aiming at the problem that the traditional pickup finger seed metering device can be easily affected by the performance of spring material, and the reliability of spring decreases with the increase of service time, a magnetic pickup finger seed metering device is designed to open and close the pickup finger by magnetic force, so as to improve the stability of seed metering performance. Through the design and optimization of permanent magnet structure, cam structure and seed taking pickup finger structure, the magnetic force distribution of ring magnet is analysed by using ANSYS Maxwell magnetic simulation software. Under the working speed of 3.9km/h, the vibration frequency, vibration amplitude and magnetic induction intensity were selected for orthogonal test. The experimental results show that the optimal combination of factors is vibration frequency 6Hz, vibration amplitude 3.1mm and magnetic induction intensity 316.34mT. Under the condition of the combination of operation parameters, the seed arrangement performance is 91.7% of the qualified rate, 6.2% of the replant rate and 2.1% of the missed rate, which meets the requirements of the national standard for the performance of the seeder. This study can provide a reference for the optimization of the structure and the improvement of the seed metering performance of the pickup finger seed metering device.
NAVIGATION, VALIDATION AND EVALUATION OF FOUR-WHEELED ROBOT FOR GREENHOUSE SPRAYING
Authors: Mosalanejad Hossein , Minaei Saeid , Borghei Alimohammad , Farzaneh Behfar
Published: May 2021

This study investigates the potential of using a sprayer robot for the greenhouse with bell-pepper plants and compares its performance with the backpack sprayer. The infrared sensors were used to navigate the robot and the ultrasonic sensors were used to distinguish the beginning of each row for automatic spraying. Results showed that the robot's guidance was done well by the infrared sensor. It was capable for spraying plants on both sides of the greenhouse simultaneously with ultrasonic sensor. The sprayer robot had better spray quality and lower solution consumption and spraying time and spray loss than the backpack sprayer.
DESIGN AND EXPERIMENT OF SEED AGITATOR FOR VERTICAL DISK SEED METERING DEVICE
Authors: Chen Yulong , Zhang Meng , Liu Zeqi , Lan Yubin , Yi Lili , Ji Pengqiang , Yin Xiang
Published: May 2021

In order to improve the seed filling performance of mechanical hole type seed metering device with high speed, a vertical disc metering device was designed with seed agitator to improve the seed filling probability. Discrete element simulation method and physical prototype bench tests were used to simulate and analyse the seed metering process. The structure parameters of the seed agitators were optimized by the quadratic orthogonal rotation central composite design test. The results showed that: 1) the addition of seed agitator had a significant influence on the MIS (miss index), among which the concave type had the lowest MIS, and it was the highest without agitator; 2) for concave type agitator, the optimal value of depth and angle were 3.1 mm and 60.5°, respectively; 3) the physical prototype tests showed that the QFI (quality of feed index) was more than 95% under the speed of 2-10 km/h, and the MIS was less than 1%, which meets the requirements of precision sowing.
ON-LINE DETECTION OF CERASUS HUMILIS FRUIT BASED ON VIS/NIR SPECTROSCOPY COMBINED WITH VARIABLE SELECTION METHODS AND GA-BP MODEL
Authors: Wang Bin , He Junlin , Zhang Shujuan , Li Lili
Published: May 2021

In order to realize the rapid and non-destructive detection of fresh Cerasus Humilis’ (CH) classification, and promote the deep-processing of post-harvest fresh fruit and improve market competitiveness, this study proposed a nonlinear identification method based on genetic algorithm (GA) optimized back propagation (BP) neural network of different varieties of fresh CH fruit. “Nongda-4”, “Nongda-5”, and “Nongda-7” fresh CH fruit were selected as research objects to collect their visible/near-infrared spectral data dynamically. The original spectra were preprocessed by moving smoothing (MS) and standard normal variate (SNV) methods, for the characteristic wavelengths were extracted with four dimension-reducing methods, namely principal components analysis (PCA), competitive adaptive reweighed sampling (CARS), CARS-mean impact value (CARS-MIV), and random frog (RF) algorithm. Finally, the BP prediction models were established based on full-spectrum and characteristic wavelengths. At the same time, the GA optimization was used to optimize the initial weight and threshold of the BP neural network and compared with the partial least squares’ discrimination analysis (PLS-DA) linear model. Through comparing the MS (7)+SNV was proved to be the best preprocessing method, the CARS-MIV-GA-BP model had the best discriminant accuracy, the prediction set accuracy was 98.76%, of which the variety “Nongda-4” and “Nongda-5” recognition rate were 100%, the variety “Nongda-7” recognition rate was 96.29%. The results show that the GA can effectively optimize the initial weights and threshold randomization of the BP neural network, improve the discrimination accuracy of CH varieties, and the CARS-MIV algorithm can effectively reduce the number of input nodes of the BP neural network model, simplify the structure of BP neural network. This study provides a new theoretical basis for the detection of fresh CH fruit classification.
ROLE OF CD163+ TUMOUR ASSOCIATED MACROPHAGES IN PROGNOSTICATION OF PATIENTS DIAGNOSED OF HODGKIN'S LYMPHOMA: A PROSPECTIVE COHORT STUDY
Authors: Sharma Akshay , Sharma Anshu
Published: May 2021

Hodgkin's lymphoma (HL) constitutes around 30% of all lymphomas . IPS is used for the risk stratication
of advanced stage HL but it lack applicability to the early stage cases ..In this prospective cohort study,
we aim to conrm the relationship between CD68+TumourAssociated macrophages with treatment response (interim as well as
end of treatment) of HL treated with the standard chemotherapy and radiotherapy regimens. A total of 50 patients were recruited
over a period of 18 months and the patients were followed up in the hematology clinic and interim treatment responses as well as
end of treatment response were assessed. Correlation of the CD163+Tumour Associated Macrophages and the treatment
response showed that the Higher Percentages of CD163+Tumour Associated Macrophages were associated with more
advanced stages.. Univariate analysis showed that there was no signicant correlation of interim treatment response as well as
end of treatment response with CD163+Tumour Associated macrophages levels .
EFFECT OF BALA TAILA MATRA BASTI AND YONIPICHU IN ACHIEVING SUKHAPRASAVA (NORMAL LABOUR) - A CASE STUDY.
Authors: Jawale Veena , Patil Sonam R.
Published: May 2021

Ayurveda is an indigenous system of medicine, emphasizing the Garbhavakranti (process of
development of various components in Embryo) to prasavaprocess of normal labour) & Sutika
(puerperium) very well. Nowadays due to changing lifestyle and daily habbits most of the women tend to go for caesarean
section. Which has its own remote complications. Normal delivery is not only safe for mother but also for the baby. In Garbhini
Paricharya Acharyas have mentioned Basti and yoni pichu moreover with Madhura aushadi siddha taila to facilitate
sukhaprasava (eutocia).
Aim- To study Bala taila Matra basti & Yonipichu in Sukhaprasava.
Methodology- Use of Bala taila Matra basti & Yonipichu in Prakruta Garbhini for Sukhaprasava based on theoretical research
using texts of Ayurveda.
Result-A full-term spontaneous delivery (sukhaprasava) of a primi patient with vertex presentation of live female child of weight
3.2 kg on 15th February 2021 at 3.20pm.
OPEN VERSUS CLOSED HEMORRHOIDECTOMY – A COMPARATIVE STUDY
Authors: Kumar Bharti Sujeet , Priya Kirti
Published: May 2021

Background and Objectives: - Hemorrhoids are specialized, highly vascularized cushions within the normal anal canal. Hemorrhoidectomy is considered as an effective treatment for III degree and IV degree hemorrhoids. The conventional Milligan-Morgan open hemorrhoidectomy remains the more commonly performed operation. Ferguson's closed hemorrhoidectomy has gained considerable attention because of the less pain, faster wound healing and better patient compliance. Nonetheless, randomized controlled trials have reported conicting results regarding post-operative outcomes between two methods. Methods: - 60 patients were included in this study, who underwent hemorrhoidectomy, by split them into two equal groups. Group A underwent open hemorrhoidectomy and group B underwent closed hemorrhoidectomy. Patient in each group were studied in terms of post-operative pain, wound healing, bleeding, length of hospital stays and the results were analysed and tested with statistical methods. Results: - In study of 60 cases, peak incidence was found at 46 years of age and more common in males (5.67:1). Difference in pain between the 2 groups was found statistically signicant (P value <0.05). 29 (96/67%) patients had completely healed wound from group B (closed) at 3rd week compared to 5 (16.67%) from group B. 7 (23.3%) patients in closed group had complications, in contrast to 25 (83.3%) in open group. Conclusion: - We got in this study that patients who underwent Ferguson's closed hemorrhoidectomy had less post-operative pain, bleeding, complications, early healing of wound and early back to routine work compared to Milligan-Morgan's open hemorrhoidectomy group
SLS TECHNIQUE FOR FABRICATION OF CAST PARTIAL DENTURE
Authors: Kumari Mamta , Das Divyajoti , Kumar Gupta Abhishek , Gupta Rekha , Gill Shubhra
Published: May 2021

One of the ancient and common method for rehabilitation of Bilateral end saddle cases is by Removable
Partial Denture (RPD)-The framework of cast partial denture (CPD) made by lost wax technique can have
many manual/lab errors. To minimize the errors and save time selective laser sintering (SLS) can be used as a method for
framework fabrication and designing can be done by computer assisted designing (CAD) method.
This a case report of 38 year old female with Kennedy's class 2 CPD was planned for the rehabilitation and framework was
fabricated using SLS method. The framework fabricated had clinically better t.
ROLE OF CD68+ TUMOUR ASSOCIATED MACROPHAGES IN PROGNOSTICATION OF PATIENTS DIAGNOSED OF HODGKIN'S LYMPHOMA: A PROSPECTIVE COHORT STUDY
Authors: Sharma Akshay , Sharma Anshu
Published: May 2021

Hodgkin's lymphoma (HL) constitutes around 30% of all lymphomas . IPS is used for the risk stratication
of advanced stage HL but it lack applicability to the early stage cases ..In this prospective cohort study,
we aim to conrm the relationship between CD68+TumourAssociated macrophages with treatment response (interim as well as
end of treatment) of HL treated with the standard chemotherapy and radiotherapy regimens. A total of 50 patients were recruited
over a period of 18 months and the patients were followed up in the hematology clinic and interim treatment responses as well as
end of treatment response were assessed. Correlation of the CD68+Tumour Associated Macrophages and the treatment
response showed that the Higher Percentages of CD68+Tumour Associated Macrophages were associated with more advanced
stages.. Univariate analysis showed that there was no signicant correlation of interim treatment response as well as end of
treatment response with CD68+Tumour Associated macrophages levels .
Rainfall Intensity-Duration-Frequency Models for Ibadan Using Optimization Technique
Authors: David A.O
Published: May 2021

Hydraulic engineering structures always depend on type and velocity of flow water arising from rainfall activities in a given catchment. Twenty-five (25) year Ibadan daily rainfall data (amount & duration) was collected from Nigerian Meteorological Agency (NIMET) Abuja and subjected to frequency analysis for the development of intensity – duration – frequency models. Mean rainfall amounts with durations of 5, 10, 15, 20, 30, 45, 60, 90, 120, 180, 240, 300 and 420 minutes were extracted and subjected to frequency analysis using the Excel Optimization Solver wizard. Gumbel Extreme Value Type 1 and Log- Pearson Type 3 distributions were used to develop specified and non-specified IDF models for return periods of 2, 5, 10, 25, 50 and 100 years. These models have not been developed for Ibadan. The values for the coefficient of determination (R2) and mean squared error (MSE) were used to test the fitness of the probability distribution functions. Gumbel Extreme Value Type – 1 has values of R2 and MSE ranging from 0.989 to 0.998 & 3.54 to 102.30 while R2 and MSE values for Log – Pearson type 3 distribution ranges from 0.978 to 0.989 & 6.09 to 213.10. The probability distribution models are recommended for the prediction of rainfall intensities of Ibadan metropolis for the Ministry of Works for adequate design purposes.
Risk Assessment of Heavy Metal Pollution of Topsoil in the Proposed Land for UNIOSUN Teaching Hospital
Authors: Anifowose A. J.
Published: May 2021

Heavy metals which are released to the soil are found to be deleterious to environment and biota. Such soil quality, particularly in residential proximities, must be assessed periodically. This study investigated nine (9) heavy metals (Cu, Pb, Cd, Fe, Cr, Zn, As, Mn, Ni) in the surface soil of an agrarian land for Osun State University Teaching Hospital, Osogbo, with a view to establishing their potential threat. They were measured in twenty (20) composite soil samples of the site by inductively coupled plasma-optical emission spectrometry (ICP-OES). The results showed that the average concentrations of Cu (6.5 mg/kg), Pb (5.4 mg/kg), Fe (5831 mg/kg), Cr (22 mg/kg), Zn (14.8 mg/kg), As (1.4 mg/kg), Mn (575 mg/kg), Ni (2.6 mg/kg) were within the permissible range and posed no ecological risk. However, Cd ranging 0.1–1.3 mg/kg (average, 0.6 mg/kg) moderately posed ecological risk due to its positive geo-accumulation index and constituted 86.5% of risk index of all the metals. Applications of agrochemicals, fertilizers in the previous agricultural activities could be the primary sources of the elevated concentration of Cd measured in the soil. The overall pollution assessment of the surface soil indicated moderate pollution of the site soil by the heavy metals.
Class-Incremental Learning for Wireless Device Identification in IoT
Authors: Liu Yongxin , Wang Jian , Li Jianqiang , Niu Shuteng , Song Houbing
Published: May 2021

Deep Learning (DL) has been utilized pervasively in the Internet of Things (IoT). One typical application of DL in IoT is device identification from wireless signals, namely Non-cryptographic Device Identification (NDI). However, learning components in NDI systems have to evolve to adapt to operational variations, such a paradigm is termed as Incremental Learning (IL). Various IL algorithms have been proposed and many of them require dedicated space to store the increasing amount of historical data, and therefore, they are not suitable for IoT or mobile applications. However, conventional IL schemes can not provide satisfying performance when historical data are not available. In this paper, we address the IL problem in NDI from a new perspective, firstly, we provide a new metric to measure the degree of topological maturity of DNN models from the degree of conflict of class-specific fingerprints. We discover that an important cause for performance degradation in IL enabled NDI is owing to the conflict of devices' fingerprints. Second, we also show that the conventional IL schemes can lead to low topological maturity of DNN models in NDI systems. Thirdly, we propose a new Channel Separation Enabled Incremental Learning (CSIL) scheme without using historical data, in which our strategy can automatically separate devices' fingerprints in different learning stages and avoid potential conflict. Finally, We evaluated the effectiveness of the proposed framework using real data from ADS-B (Automatic Dependent Surveillance-Broadcast), an application of IoT in aviation. The proposed framework has the potential to be applied to accurate identification of IoT devices in a variety of IoT applications and services. Data and code available at IEEE Dataport (DOI: 10.21227/1bxc-ke87) and \url{https://github.com/pcwhy/CSIL}}.