bluuebunny/crossref_metadata_2025 huggingface dataset:
Output Feedback Control Synthesis and Stabilization for Positive Polynomial Fuzzy Systems Under L1 Performance
Authors: Meng Aiwen , Lam Hak-Keung , Liu Fucai , Wang Ziguang
Published: November 2020

This paper presents the stabilization for positive nonlinear systems using polynomial fuzzy models. To conform better to the practical scenarios that system states are not completely measurable, the static output feedback (SOF) control strategy instead of the state feedback control method is employed to realize the stability and positivity of the positive polynomial fuzzy system (PPFS) with satisfying L1-induced performance. However, some troublesome problems in analysis and control design will follow, such as the non-convex problem. Fortunately, by doing mathematical tricks, the non-convex problem is skillfully dealt with. Furthermore, the neglect of external disturbances may lead to a great negative impact on the performance of positive systems. For the sake of guaranteeing the asymptotic stability and positivity under the satisfaction of the optimal performance of the PPFS, it is significant to take the L1-induced performance requirement into consideration as well. In addition, a linear co-positive Lyapunov function is chosen so that the positivity can be extracted well and the stability analysis becomes simple. By using the sum of squares (SOS) technique, the convex stability and positivity conditions in the form of SOS are derived. Eventually, for illustrating the advantages of the proposed method, a simulation example is shown in the simulation section.
Spatial-Spectral Density Peaks Based Discriminant Projection for Classification of Membranous Nephropathy Hyperspectral Pathological Image1
Authors: Lv Meng , Li Wei , Tao Ran
Published: November 2020

Microscopic hyperspectral imaging has become an emerging technique for various medical applications. However, high dimensionality of hyperspectral image (HSI) makes image processing and extraction of important diagnostic information challenging. In this paper, a novel dimensionality reduction method named spatial-spectral density peaks based discriminant projection (SSDP) is proposed by considering spatial-spectral density distribution characteristics of immune complexes. The proposed SSDP coupled with support vector machine classifier (SVM) yields high-precision automatic diagnosis of membranous nephropathy (MN). Detailed ex-vivo validation of the proposed method demonstrates the potential clinical value of the system in identifying hepatitis B virus-associated membranous nephropathy (HBV-MN) and primary membranous nephropathy (PMN).
The Improved Algorithm of Sample Adaptive Offset Based on Visual Saliency
Authors: Shan Nana , Zhou Wei , Duan Zhemin
Published: November 2020

Sample Adaptive Offset (SAO) in High Efficient Video Coding (HEVC) is a new technic to improve the quality of videos. It categories the pixels and choices the best way by adding some offsets to the reconstructed video. So, it causes a dramatically increased computational complexity. According to the dependency of sample adaptive offset and visual saliency map, an improved SAO method is proposed in order to minimize the coding time of SAO by skipping some RD cost calculation. Experimental result shows that the proposed method reduces 27.02% SAO encoding time with negligible performance loss.
Research on Characteristics of Chinese Herbal Medicine Compounds Based on Bisecting k-Means Algorithm
Authors: Wu Yushu , Xie Fenfen , Wang Lu , Zhang Shoude , Zhang Lei , Wang Xiaoying
Published: November 2020

The properties of Chinese Herbal Medicine (CHM) are determined to some extent by the properties of their molecular compounds, so it is of great significance to study CHM from the perspective of molecular compounds. In this paper, the clustering algorithm in data mining is used to study the relationship between the properties of CHM and its chemical components. Firstly, the molecular data are collected from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, and the data set is preprocessed to extract the key molecular descriptors of chemical components. Secondly, the k-means algorithm and the Bisecting k-means algorithm are used to cluster the chemical components based on the CHM molecular descriptors, and the representative molecular features of the cold and hot CHM are extracted; finally, through experimental comparison, it is found that the clustering results obtained by Bisecting k-means algorithm are better. The clustering results show that the average values of molecular composition descriptors and charge descriptors in cold CHM are significantly higher than those in hot CHM. Therefore, the properties of CHM may be affected by molecular structure and molecular charge properties.
Estimating Observation Error Statistics Using a Robust Filter Method for Data Assimilation
Authors: Wang Yue , Bai Yulong
Published: November 2020

For the data assimilation algorithms, the observation error covariance plays an important role, because they control the weight that is given to the model forecast and to the observation in the solution, i.e., the analysis. In order to easily calculate, we often assume observation to be a diagonal matrix, however, the observation errors are correlated to the state and have a certain dependence on time, such as certain observing types which are remotely sensed. In this work, we obtain the time-dependent and correlated observation error by the method of observation error estimation in the data assimilation system. We combine the ensemble time-local H-infinity filter (EnTLHF) with an estimate of observation error covariance matrix, named ensemble time-local H-infinity filter with observation error covariance estimation (EnTLHF-R). In the experiment, a classical nonlinear Lorenz-96 model to evaluate the performance of new method is used. The results show that the robust filtering with observation error estimation is more accurate, more robust, and the filtering is more stable.
Recommendation Based on Java Code Analysis and Search
Authors: Fu Shanqing , Li Bing , Cai Yi , Liu Zhuang , Guo Junxia
Published: November 2020

How to improve the efficiency and quality of software development is an ongoing concern in the field of software engineering. As a useful auxiliary function, code recommendation is embedded in almost all integrated development environments. There has been increasing interest and research in the area of code recommendation in recent years due to its convenience for project development. Existing research has made a lot of contributions to this field, but there are still many issues that need further study. One of the key points is the low success rate of recommendation. Focusing on this problem, this paper proposes a method to recommend Java source code after parsing massive amounts of source code information. We propose a new source code analysis algorithm for the scraped source code data. A source file is parsed into classes, methods, and attributes as recommendation objects. At the same time, the annotation information is bound to the annotated objects. Finally, the parsed information is indexed at the project, class, and method levels for code recommendations in a hierarchical recommendation manner. A code recommendation system is implemented by combining this with full-text retrieval technology for class library, class, and method level recommendation. The experimental results show that the method proposed in this paper has better performance in recommendation accuracy than existing code recommendation engines.
Construction of Cloud ERP Security Evaluation Index System Based on Text Mining
Authors: Gao Ying , Su Qin , Fang Yue , Lai Pinyan
Published: November 2020

The aim of this study is to investigate and discuss the potential security issues arising from the deployment of the Cloud Enterprise Resource Planning system, and to propose a perfect and standard set of security evaluation index system for Cloud ERP security issues. Considering the issues which may be inherent in the conventional Enterprise Resource Planning systems and new ones brought by Cloud Computing, Cloud Platform, Cloud ERP, we use text mining technology to mine the related standard files in this paper. Since the standard literature is based on the comprehensive results of technology, science and practice, its characteristics of standardization, objectivity and validity also ensure the effectiveness and applicability of indicators. By using NLP methods, we construct a Cloud ERP security evaluation index system consisting of five parts: evaluation method security, information access security, data security, management security and others. The entropy method is used to assign weights for the Cloud ERP security evaluation index system, which is more scientific and rational and the method moderates the lack of objectivity caused by traditional evaluation methods which over-relies on evaluators. By analyzing cases of Cloud ERP collected in various application reports and research papers, we improve our system and find that compared to other evaluation systems, our system can evaluate the security of Cloud ERP more comprehensively.
Differential Privacy Trajectory Data Protection Algorithm Based on Polar Coordinate Transformation
Authors: Zhang Zhenzhen , Cai Jianping , Sun Lan , Guo Yongyi , Qiu Yubing , Wu Yingjie
Published: November 2020

Differential privacy technology has been widely used in the issue of trajectory data release. Improving the availability of data release under the premise of ensuring privacy and security is one of its basic research goals. At present, most trajectory data release methods use a rectangular coordinate system to represent location information. Research has shown that the availability of published data cannot be optimized through the rectangular coordinate system. In order to improve the effect of trajectory data release, this paper proposes a differential privacy trajectory data protection algorithm based on polar coordinates. First, the stay point detection method is used to find frequent stay points in the trajectory and the key location points related to personal privacy are detected by the type of location points. Then, this paper converts the rectangular coordinate system representation of the key position points to the polar coordinate system representation, and implement differential privacy trajectory data release by adding noise to the key position points represented by the polar coordinates. Experiments show that the algorithm proposed in this paper effectively improves the usability of trajectory data on real data sets.
Hierarchy Spatial-Temporal Transformer for Action Recognition in Short Videos
Authors: Cai Guoyong , Cai Yumeng
Published: November 2020

Short videos action recognition based on deep learning has made a series of important progress; most of the proposed methods are based on 3D Convolution neural networks (3D CNN) and Two Stream architecture. However, 3D CNN has a large number of parameters and Two Stream networks cannot learn features well enough. This work aims to build a network to learn better features and reduce the scale of parameters. A Hierarchy Spatial-Temporal Transformer model is proposed, which is based on Two Stream architecture and hierarchy inference. The model is divided into three modules: Hierarchy Residual Reformer, Spatial Attention Module, and Temporal-Spatial Attention Module. In the model, each frame’s image is firstly transformed into a spatial visual feature map. Secondly, spatial feature learning is performed by spatial attention to generating attention spatial feature maps. Finally, the generated attention spatial feature map is incorporated with temporal feature vectors to generate a final representation for classification experiments. Experiment results in the hmdb51 and ucf101 data set showed that the proposed model achieved better accuracy than the state-of-art baseline models
Alzheimer’s Disease and Related Dementia in Indigenous Populations: A Systematic Review of Risk Factors
Authors: Walker Jennifer D. , Spiro Grace , Loewen Kassandra , Jacklin Kristen
Published: November 2020

Background: There remains a lack of information and understanding of the prevalence and incidence of Alzheimer’s disease and related dementia in Indigenous populations. Little evidence available suggests that Indigenous peoples may have disproportionately high rates of Alzheimer’s disease and related dementia (ADRD). Objective: Given this information, this study systematically explores what risk factors may be associated with ADRD in Indigenous populations. Methods: A search of all published literature was conducted in October 2016, March 2018, and July 2019 using Medline, Embase, and PsychINFO. Subject headings explored were inclusive of all terms related to Indigenous persons, dementia, and risk. All relevant words, phrases, and combinations were used. To be included in this systematic review, articles had to display an association of a risk factor and ADRD. Only studies that reported a quantifiable measure of risk, involved human subjects, and were published in English were included. Results: Of 237 articles originally identified through database searches, 45 were duplicates and 179 did not meet a priori inclusion criteria, resulting in 13 studies eligible for inclusion in this systematic review. Conclusion: The large number of potentially modifiable risk factors reported relative to non-modifiable risk factors illustrates the importance of socioeconomic context in the pathogenesis of ADRD in Indigenous populations. The tendency to prioritize genetic over social explanations when encountering disproportionately high disease rates in Indigenous populations can distract from modifiable proximal, intermediate, and distal determinants of health.
Associations Between Caffeine Consumption, Cognitive Decline, and Dementia: A Systematic Review
Authors: Chen J.Q. Alida , Scheltens Philip , Groot Colin , Ossenkoppele Rik
Published: November 2020

Background: Epidemiologic studies have provided inconclusive evidence for a protective effect of caffeine consumption on risk of dementia and cognitive decline. Objective: To summarize literature on the association between caffeine and 1) the risk of dementia and/or cognitive decline, and 2) cognitive performance in individuals with mild cognitive impairment (MCI) or dementia, and 3) to examine the effect of study characteristics by categorizing studies based on caffeine source, quantity and other possible confounders. Methods: We performed a systematic review of caffeine effects by assessing overall study outcomes; positive, negative or no effect. Our literature search identified 61 eligible studies performed between 1990 and 2020. Results: For studies analyzing the association between caffeine and the risk of dementia and/or cognitive decline, 16/57 (28%) studies including a total of 40,707/153,070 (27%) subjects reported positive study outcomes, and 30/57 (53%) studies including 71,219/153,070 (47%) subjects showed positive results that were dependent on study characteristics. Caffeine effects were more often positive when consumed in moderate quantities (100–400 mg/d), consumed in coffee or green tea, and in women. Furthermore, four studies evaluated the relationship between caffeine consumption and cognitive function in cognitively impaired individuals and the majority (3/4 [75% ]) of studies including 272/289 subjects (94%) reported positive outcomes. Conclusion: This review suggests that caffeine consumption, especially moderate quantities consumed through coffee or green tea and in women, may reduce the risk of dementia and cognitive decline, and may ameliorate cognitive decline in cognitively impaired individuals.
Bucketing and information flow analysis for provable timing attack mitigation
Authors: Terauchi Tachio , Antonopoulos Timos
Published: November 2020

This paper investigates the effect of bucketing in security against timing-channel attacks. Bucketing is a technique proposed to mitigate timing-channel attacks by restricting a system’s outputs to only occur at designated time intervals, and has the effect of reducing the possible timing-channel observations to a small number of possibilities. However, there is little formal analysis on when and to what degree bucketing is effective against timing-channel attacks. In this paper, we show that bucketing is in general insufficient to ensure security. Then, we present two conditions that can be used to ensure security of systems against adaptive timing-channel attacks. The first is a general condition that ensures that the security of a system decreases only by a limited degree by allowing timing-channel observations, whereas the second condition ensures that the system would satisfy the first condition when bucketing is applied and hence becomes secure against timing-channel attacks. A main benefit of the conditions is that they allow separation of concerns whereby the security of the regular channel can be proven independently of concerns of side-channel information leakage, and certain conditions are placed on the side channel to guarantee the security of the whole system. Further, we show that the bucketing technique can be applied compositionally in conjunction with the constant-time-implementation technique to increase their applicability. While we instantiate our contributions to timing channel and bucketing, many of the results are actually quite general and are applicable to any side channels and techniques that reduce the number of possible observations on the channel. It is interesting to note that our results make non-trivial (and somewhat unconventional) uses of ideas from information flow research such as channel capacity and refinement order relation.
Description of the X(2900) as an Open Flavor Tetraquark in Terms of a First-Order Mass Formula
Authors: Bevelacqua Joseph
Published: November 2020

A recently discovered X(2900) tetraquark candidate having four different flavor quarks is investigated using a first-order mass formula. This mass relationship is based on two weakly bound meson clusters. The first-order mass formula provides a reasonable prediction of 2908 MeV/c2 for the measured X(2900) tetraquark mass with possible spins of 0, 1, and 2. Experimental model dependent analysis suggests a tetraquark mass of 2866.3 MeVc2 for a spin 0 state and 2904.1 MeV/c2 for a spin 1 state.
Livestock Judging, Leaders Guide: Florida 4-H Animal Science Program
Authors: Glauer Deborah J.
Published: November 2020

Contains a complete, easy-to-read outline for activities which are a mix of games, experiments, role plays or demonstrations that help to teach the basic principles and concepts of livestock judging. The activities conclude with discussion questions for youth to REFLECT and APPLY.

https://edis.ifas.ufl.edu/4h101
Clothes that Click Leaders Guide
Authors: Jordan Joy Cantrell , Hackler R. Nadine
Published: November 2020

Produced by the Department of Family, Youth and Community Sciences in cooperation with the Florida 4-H Youth Program, University of Florida Cooperative Extension, Institute of Food and Agricultural Sciences, January, 1998; Reviewed June 2002.
Food, Fun and Fitness Workbook
Authors: Cook Linda D. , Jordan Joy C. , Leath Henry
Published: November 2020

This information was published May 1996 as 4H FNM11, Florida Cooperative Extension Service. Revised March 1998; reviewed, June 2002.

https://edis.ifas.ufl.edu/4h153
Aquatic and Marine Ecosystems
Authors: Glauer Deborah J.
Published: November 2020

The new Florida 4-H Aquatic/Marine Ecosystems Leader’s Guide, is a part of the Environmental Education Framework, OUR NATURAL WORLD, This framework includes the basic premise that aquatic/marine environments are important in children’s lives, particularly to those children in Florida. The 4-H Aquatic/Marine Ecosystems program provides an opportunity for young people to practice a variety of life skills while learning subject matter.
Mowing for Money: A Dollar and Sense Guide to Lawn Care
Authors: Ruppert Kathleen C.
Published: November 2020

Florida 4-H Horticulture Program Leaders Guide (front matter only). Intended for ages 12-14.
Sustainability Aspects of Precision Agriculture for Row Crops in Florida and the Southeast United States
Authors: Small Ian M. , Wright David L.
Published: November 2020

Precision agriculture or site-specific management is a knowledge-based technical management system, where sensing, information technologies, and mechanical systems enable sub-field crop management that can help optimize farm profits and minimize agriculture's impact on the environment. This technology has been developed over several decades through private sector and university research efforts, with new technologies and applications available every year. Information about a field can be obtained and continuously updated to refine management strategies or solve production issues through the season. Stated another way, it is the determination of optimal inputs needed for profitable production. This article discusses precision agriculture, recent developments in technology and factors to consider when adopting these technologies, particularly as they relate to row crop production in Florida.

Original publication date October 2002. Revised July 2006, October 2013, December 2016. September 2020 revision by Ian Small
Producing Quality Peanut Seed
Authors: Whitty Elmo B.
Published: November 2020

This document is SS-AGR-187, one of a series of the Agronomy Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Original publication date November 2002.
Tax Relief in Disaster Situations
Authors: Copeland Heidi B. , Ruiz-Menjivar Jorge
Published: November 2020

This 1-page document provides general information regarding disaster assistance and links to online resources for taxpayers affected by a federally declared disaster. Written by Jorge Ruiz-Menjivar and Heidi Copeland, and published by the UF/IFAS Department of Family, Youth and Community Sciences, revised September 2020. https://edis.ifas.ufl.edu/fm259

This is a major revision of FM259, Tax Relief in Disaster Situations., by Donna Davis
Como Realizar un Plan de Gastos – Tercer Paso: ¿Cuánto Gana Usted?
Authors: Torres Nayda I.
Published: November 2020

Este documento es la Hojuela FCS7169-Span, una serie del Departamento de Ciencias de la Familia, Juventud y Comunidad, Servicio de Extensión Cooperativa de Florida, Instituto de Alimentos y Ciencias Agrícolas, Universidad de Florida. Fecha de publicación: Octubre 2002.

https://edis.ifas.ufl.edu/fy573
Como Realizar un Plan de Gastos – Séptimo Paso: Siga su Plan
Authors: Torres Nayda I.
Published: November 2020

Este documento es la Hojuela FCS7173-Span, una serie del Departamento de Ciencias de la Familia, Juventud y Comunidad, Servicio de Extensión Cooperativa de Florida, Instituto de Alimentos y Ciencias Agrícolas, Universidad de Florida. Fecha de publicación: Octubre 2002.

https://edis.ifas.ufl.edu/fy577
The Learning Continuum: A Model for Sustained Participation with Hard-to-Serve Clients
Authors: Bolton Elizabeth B.
Published: November 2020

This report, The Learning Continuum: A Model for Sustained Participation with Hard-to-Serve Clients, is part of the UF/IFAS Welfare-to-Work Initiative (Grant #A6218) funded by the Florida Agency for Workforce Innovation (formerly Florida Department of Labor and Employment Security). The Principal Investigator is Elizabeth B. Bolton, Professor of Community Development, Department of Family, Youth and Community Sciences.
Haviland's Subterranean Termite, Coptotermes havilandi Holmgren (Insecta: Isoptera: Rhinotermitidae)
Authors: Scheffrahn Rudolf H. , Su Nan-Yao
Published: November 2020

This document is EENY-128 one of a series of Featured Creatures from the Entomology and Nematology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Published: April 2000.

https://edis.ifas.ufl.edu/in285
Red Wax Scale, Ceroplastes rubens Maskell (Insecta: Homoptera: Coccidae)
Authors: Dekle G. W.
Published: November 2020

This document is EENY-237 (originally published as DPI Entomology Circular 115), one of a series of Featured Creatures from the Entomology and Nematology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Published: September 2001.

https://edis.ifas.ufl.edu/in393
Ehrlichia en Florida
Authors: Rey Jorge R. , Lord Cynthia C. , Rutledge-Connelly Cynthia Roxanne
Published: November 2020

Este documento con la identificación: ENY662S, es uno de una serie de publicaciones del Departamento de Entomología y Nematología, del Servicio de Extensión Cooperativo de la Florida, del Instituto de Alimentos y Ciencias Agrícolas, Universidad de la Florida. Publicado por primera vez en Octubre, 2002.
Worker Protection Standard: Information at a Central Location
Authors: Fishel Frederick M. , Sanchez Tatiana
Published: November 2020

The Worker Protection Standard (WPS) is a Federal regulation designed to protect agricultural workers (people involved in the production of agricultural plants) and pesticide handlers (people mixing, loading, or applying pesticides or doing other tasks involving direct contact with pesticides). It has been in full implementation since 1995. This document provides general guidance to help you comply with the requirements of the Federal Worker Protection Standard (WPS) for agricultural pesticides, 40 CFR part 170, as amended in 2015. This document addresses specific information that agricultural establishments must display at a central location for their employees.
Generic framework for industrial 4.0 applications based on internet of things
Authors: Le Nhan Trong , Nguyen Nguyen Tran Huu , Ngan Pham Le Song
Published: November 2020

The Internet of Things (IoTs) is a network of interconnected devices, transportations, home appliances, and other devices. They are functionally embedded in electronics, software, sensors, actuators, and connectivity that allows them to connect and exchange information. On the basis of the IoT concept, implementations are gradually being proposed in a range of areas, ranging from smart house, smart office and smart agriculture. In this research paper, a generic framework for smart monitoring applications based on the IoTs network is proposed. In this framework, low-powered sensor nodes are based on the micro:bit platform, providing a multiple footprints for different sensor connections. The wireless capability on micro:bit provides a complete solution to deploy the system in such places that wire is impractical to draw. The data is wirelessly gathered by a basestation node that is powered by Android Things operating system provided by Google. This operating system is based on the Android platform for smart devices and Internet of Things products. The approach to this framework indicates a low cost and minimum setup and especially amenable for applications control. To support many applications with minimum modifications, the framework is designed for easy expansion by supporting popular serial connection ports, including the Universal Asynchronous Receiver/Transmitter and Serial Peripheral Interface. With these connections, on one line data bus, several sensors can be added to match the different application requirements. In this paper, our platform is validated for an automatic water monitoring in aquaculture based on the temperature, pH and dissolved oxygen sensory data. Through our framework, the data is uploaded to a cloud for remote monitoring and providing alarms for users whenever the data is out of a predefined safe domain.
The Incidence of Knee Pain Complaints in Pedicab Riders in the Kemuning District, Palembang
Authors: Oktari Nendy , Jalalin
Published: November 2020

Background: Knee pain is a major source of disability, and the most frequently complained of disease in people aged 50years and over, this complaint is often associated with osteoarthritis. Complaints of knee pain in OA patients are stronglyassociated with decreased stability of the knee joint. As the main stabilizer in the knee joint, extensor muscle strengthplays a major role in the pain complaints that occur, so that one of the recommended physiotherapy measures for kneeosteoarthritis patients in reducing pain complaints is to exercise the knee extensor muscle strengthening in the form ofpedaling a bicycle. The pedaling movement is a work activity carried out by pedicab drivers. Therefore, this study wasconducted to determine the incidence of knee pain complaints in pedicab riders in the District of Kemuning, Palembang.Method: This type of research is descriptive with cross sectional study design. The study population was pedicab driverswho operated in the Kemuning District of Palembang. Primary data were collected by conducting interviews todetermine whether there were complaints of pain in the knee and assessed by the KOOS Score and Numeric Rating Scale(NRS), as well as measurements of body weight and height. Results: The results showed that 8 pedicab drivers (17.8%)complained of knee pain and 37 pedicab drivers (82.2%) did not complain of pain in their knees. Conclusion: Theincidence of knee pain complaints among pedicab drivers in the Kemuning sub-district of Palembang is lower than that ofpedicab drivers who do not complain of pain in their knees.
Actitud del universitario hacia el uso del cannabis como tratamiento del dolor crónico
Authors: Domingo Martínez Gabriela Lorena , Sánchez Carbajal Karen Daniela , Ruíz Vargas Nancy Viridiana , Gallegos Torres Ruth Magdalena , Oñate Romero Juan Manuel , Juárez Nilo Sarket Gizeh , Xeque Morales Ángel
Published: November 2020

Objetivo: describir la actitud de estudiantes de una universidad pública hacia el uso del cannabis como tratamiento del dolor crónico, con la finalidad de establecer un conocimiento sobre el fenómeno de las alternativas terapéuticas. Material y Métodos: investigación descriptiva en 250 estudiantes universitarios del área de Ciencias de la Salud que firmaron consentimiento informado. Se utilizó como instrumento una escala Likert elaborada exprofeso y validada por el método Delphi. Se utilizó estadística descriptiva como método de análisis. Resultados: se encontró que la actitud de aceptación general frente al uso de cannabis medicinal es del 60.4%; asimismo, el estudio arrojó que los universitarios confían en las personas que consumen cannabis para tratar enfermedades relacionadas con el dolor y que deben existir sitios terapéuticos para tratamiento con cannabis. Conclusiones: el dolor crónico constituye uno de los problemas de salud pública más relevantes a nivel mundial y tiene un alto impacto en las personas que lo experimentan. Debido a esto, diversas alternativas se presentan como opciones terapéuticas y algunas han sido aprobadas para su uso por organizaciones mundiales. Ante este panorama, el profesional de la salud debe tener conocimiento acerca del fenómeno para poder intervenir adecuadamente. LUXMÉDICA AÑO 15, NÚMERO 44, MAYOAGOSTO 2020.
Pancreatitis aguda recurrente idiopática. Reporte de caso clínico y revisión de la literatura
Authors: Delgado Sánchez Jonathan Dazaeth , Herrera Beiza Bernardo Miguel , García Luis Ashley Michelle , Herrada Aguilar Cynthia Jazmín , Lepe Valadez Priscila Sabrina , Barba Valadez Claudia Teresa , López Rodríguez Jorge Luis
Published: November 2020

Introducción: la pancreatitis aguda recurrente (PAR) es una condición clínica caracterizada por episodios repetidos de pancreatitis aguda (PA). Las causas más frecuentes son cálculos biliares y alcoholismo; sin embargo, cuando no se consigue determinar la causa, lo cual ocurre entre el 10% al 25% de los pacientes, se determina como pancreatitis aguda recurrente idiopática (PARI). Caso clínico: se presenta el caso de una paciente del sexo femenino de 32 años con dos episodios de PA, con antecedente de colecistectomía laparoscópica. La paciente presentó nuevo episodio de PAR grave que requirió manejo intrahospitalario. Durante el abordaje diagnóstico se identificó como causa microlitiasis, por lo que se realizó, unos meses después del cuadro agudo, una colangiopancreatografía retrógrada endoscópica (CPRE) y esfinterotomía. Conclusión: la pancreatitis aguda recurrente idiopática tiene como factores causales poco frecuentes a la microlitiasis, hipercalemia, hipertrigliceridemia y la inducción por medicamentos. LUXMÉDICA, AÑO 15, NÚMERO 44, MAYO-AGOSTO 2020, PP 39-47.
Criterios para la selección de alimentos de estudiantes universitarios de nutrición
Authors: Fernández Carrasco María del Pilar
Published: November 2020

Resumen

Introducción: la selección de alimentos es afectada por múltiples factores, gran parte de los estudios de conducta alimentaria con universitarios se enfocan en frecuencias de consumo e identiflcar facilitadores y barreras en la alimentación, encontrando poca información respecto a los criterios utilizados para elegir los productos alimenticios. Objetivo: identiflcar los criterios utilizados por estudiantes universitarios de nutrición para la selección de sus alimentos. Metodología: estudio descriptivo, comparativo, prospectivo y transversal. Se estudiaron 74 estudiantes de nutrición del segundo (n=43) y décimo (n=3l) semestre de una institución pública. Se aplicó el cuestionario de Comportamiento alimentario en estudiantes mexicanos del área de la salud, evaluando reactivos relacionados con selección de alimentos. Para el análisis estadístico, se emplearon X2 y prueba exacta de risher con rango de conflanza del 95% y margen de error del 5%. Resultados: 74 participantes (82.4% femeninos, 17.6% mascu- linos), edad promedio 20.61+2.15 años. El principal factor al seleccionar alimentos fue el contenido nutrimental, segui- do del sabor. Las técnicas culinarias preferidas fueron asado y salteado. Al consumir snacks prefleren verduras y frutas. La bebida consumida prioritariamente es agua natural, único factor con diferencia signiflcativa (prueba exacta de risher p=0.027). Conclusiones: Principales factores involucrados en selección de alimentos: contenido nutrimental, sabor y cuidarse, este último factor se relaciona con las preferencias de técnicas culinarias, consumo de frutas y verduras como snacks y consumir prioritariamente agua natural. LUXMÉDICA AÑO 15, NÚMERO 45, SEPTIEMBRE-DICIEMBRE 2020, PP 3-13.
Francisco Suárez Vidal. In memoriam
Authors: Delgado Argote Luis Alberto
Published: November 2020

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Diagnóstico de posgrado en México. Región Centro Occidente
Authors: Martín de Campo Adrián Frausto
Published: November 2020

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La libertad de enseñanza: un principio educativo innovador de la Constitución mexicana de 1857
Authors: Barba Casillas José Bonifacio
Published: November 2020

La definición del liberalismo mexicano en los años que siguieron a la independencia tuvo una fase trascendente en la revolución de la Reforma, que creó la Constitución de 1857. Este trabajo tiene el propósito de identificar los valores del proyecto educativo de esta Constitución, analizándolos en el contexto del avance de las libertades fundamentales, la educación entre ellas. Se estudian los antecedentes y características de la Constitución de 1857 para identificar sus aspectos innovadores. Los resultados muestran los rasgos de la Constitución y su sentido valoral para la educación, tanto por los principios constitucionales en conjunto como por la libertad de enseñanza en específico. Se concluye que la Constitución establece valores innovadores para la formación de la nación mexicana al reconocer un amplio conjunto de derechos del hombre y por establecer libertad de enseñanza, una base legal y filosófica para una educación orientada a la formación moral de los ciudadanos.
Perfil de padres con un hijo con tentativa suicida: Indicadores afectivos y conductuales
Authors: Vargas-Jaimes Claudia , Villafaña-Montiel Lourdes Gabriela , Moysén-Chimal Alejandra , Eguiluz-Romo Luz de Lourdes
Published: November 2020

El intento suicida es un suceso que afecta abruptamente la vida familiar, especialmente a los padres; identificar el sentir y actuar de padres que se enfrentan a esta situación es atender el problema desde una perspectiva preventiva. Los padres presentan dos patrones de relación con sus hijos: uno suficiente y uno insuficiente, las madres presentan un perfil insuficiente y más complejo. Intervenir el suicidio desde su tentativa de manera integral, incluyendo a los padres, ayuda a obtener información más precisa de lo que sucede alrededor del fenómeno suicida, favorecer la expresión de afectos y conductas del intento suicida ayuda al hijo y a los padres; quienes ocasionalmente no saben cómo actuar.
建筑工程施工中地基处理技术要点分析
Authors: 赵 瑞 , 尚 泳延 , 罗 慧 , 王 晨光
Published: November 2020

在建筑工程施工中，地基作为房屋质量可直接影响建筑整体稳定性，地基处理技术受到业界广泛关注。基于此，文章首先阐述了地基处理技术在建筑工程施工中的应用，并从多个角度提出建筑工程施工中地基处理技术要点，旨在从地基处理技术角度提高建筑施工质量与安全性，推动建筑施工行业稳定发展。
建筑电气安装接地的施工技术分析
Authors: 司 沥通 , 司 会东 , 王 玲 , 严 雨飞
Published: November 2020

文章基于对电气工程施工的了解，阐述了建筑电气安装接地施工的重要意义，根据实际情况进一步对接地引下线、断接螺栓安装、电气接地安装等施工技术进行深入分析，切实提高建筑电气安装质量和效率，对施工技术进行严格控制，为我国建筑电气安装工程发展奠定良好基础。
建筑装饰装修工程中绿色施工技术的有效运用
Authors: 文 学龙 , 李 维
Published: November 2020

近年来，在多方面利好因素的影响下，使得我国综合国力得到了显著的提升，从而为建筑装饰装修工程行业的发展带来了良好的机遇。就建筑装饰装修工程项目实际情况来说，涉及到的工程量十分巨大，施工工作具有明显的复杂性，对建筑装饰装修工程施工技术专业水平要求相对较高，所以建筑装饰装修施工单位务必要重视施工技术的把控。要想从根本上促进建筑装饰装修工程施工质量和效率提升，提高各类施工材料的使用效率，保证各项施工工作的安全性，那么最为重要的就是需要切实的运用最先进的建筑装饰装修工程施工理念和施工技术，并且要重视绿色施工技术的合理运用。
项目管理在建筑工程管理中的应用浅谈
Authors: 孙 冲
Published: November 2020

近年来，在多方面利好因素的影响下，使得我国综合国力得以全面的提升，从而切实的推动了我国建筑工程行业的发展壮大。项目管理在建筑工程管理工作中的作用是非常巨大的，其在提升建筑工程施工质量、施工安全方面具有非常重要的辅助作用，并且对于整个建筑工程行业的稳步持续发展具有积极的影响作用。现如今，项目管理工作在建筑工程管理中的运用范围较为广泛，有效的促进了建筑工程施工质量的不断提升。但是要想将建筑工程项目管理工作的作用切实的发挥出来，那么还需要我们充分结合各方面实际情况来对项目管理工作加以完善和创新。这篇文章主要针对项目管理在建筑工程管理工作中的实践运用展开全面深入的研究分析，希望能够对我国建筑工程行业的持续稳步发展有所帮助。
建筑工程管理及工程施工质量的有效控制浅析
Authors: 周 宇
Published: November 2020

近年来，在多方面利好因素的影响下，使得我国综合国力得到了显著的提升，从而为建筑工程行业的发展壮大带来了良好的机遇。就建筑工程项目来说，其具有非常明显的特殊性，并且对于施工工作人员以及施工技术水平要求相对较高。在施工过程中往往会遇到诸多不良因素的影响，无法对建筑工程施工质量加以根本保障。建筑工程是质量往往与工程施工单位的综合能力存在一定的关联，所以建筑施工单位务必要对建筑工程施工质量和工程管理工作加以重点关注，综合各方面实际情况来制定有效的建筑工程施工质量管理工作方案，为工程施工各项工作的开展给予规范性的指导。
Protection of dental teams and patients in the COVID-19 era
Authors: Da Silva Jaime A Teixeira , Khatib Aceil Al
Published: November 2020

Abstract Not Available

Update Dent. Coll. j: 2020; 10 (2): 1-2
PEMANFAATAN METODE LOCATION BASED SERVICE DALAM PEMETAAN FASILITAS KESEHATAN DI KOTA PADANG
Authors: Sonatha Yance , Azmi Meri , Rasyidah Rasyidah , Lestari Tri , Gusman Taufik
Published: November 2020

Kebutuhan akan layanan kesehatan adalah salah satu faktor penting saat ini. Orang ingin dengan cepat menemukan lokasi layanan kesehatan terdekat sesuai keinginan mereka. Tetapi ini akan sedikit sulit, jika mereka berada di lokasi yang tidak dikenal. Penelitian ini mengembangkan aplikasi yang dapat menemukan lokasi fasilitas kesehatan dan diimplementasikan di kota Padang. Kebutuhan pengguna (pemakai smartphone di Kota Padang),dipetakan menggunakan metode tabel spesifikasi kebutuhan sistem yang memetakan kebutuhan aplikasi dari sisi fungsional dan non fungsional. Desain aplikasi ini menggunakan Unified Modeling Language. Aplikasi ini dikembangkan dengan model waterfall dan dibangun menggunakan metode Location Based Service yang disediakan oleh android. Aplikasi ini dibangun dari dua sisi yaitu client android dan server web. Penelitian ini menghasilkan sebuah aplikasi yang dapat menemukan lokasi fasilitas kesehatan yang diinginkan di Kota Padang. Aplikasi yang dapat diakses menggunakan browser internet (server) dan smartphone android  (client) dengan sistem operasi Android 5.0 minimum.
IMPLEMENTASI FSM SEBAGAI RESPON OTONOM DAN ADAPTIF NPC PADA GAME “AWANG MENJELAJAHI KOTA TENGGARONG”
Authors: Azahari Azahari , Haristyawan Ivan , Jariansyah Muhammad
Published: November 2020

Development of the game towards a tourist promotion tool is very important. The game "Awang exploring the City of Tenggarong" is an android smartphone game that tells the story of a tourist / traveler named Awang who roams every tourist destination in the Tenggarong City. The development of this game uses multimedia development life cycle, starting from the concept, assembly, and testing. Artificial intelligence is also needed in the development of this game. Players will be accompanied by NPC (Non Player Character) in the form of a female tour guide. NPCs equipped with the Finite State Machine (FSM) model can guide players to go to each Tenggarong tourist attraction, and it can also provide information related to these tourist attractions. The final result of this research is a game that can be a media for tourism promotion in Tenggarong city
Development of a Novel Plastic Hardening Model Based on Random Tree Growth Method
Authors: Son Hyoung-Seo , Kim Young-Gon , Kim Jin-Jae , Kim Young-Suk
Published: November 2020

The flow functions for plastic deformation have been developed to describe the plastic behavior of sheet metals. In order to explain the plastic behavior of material in metal forming processes via finite element analyses, two basic input functions should be applied. One is the yield function that determines the yielding behavior. The other is flow function to describe the hardening property of sheet metal. To describe the hardening properties of sheet materials under quasi-static tension condition in a wide range of plastic straining, various different equations are known such as classical Swift, Voce, Holloman, combined Swift-Voce, and recently proposed Kim-Tuan equations, etc. Those hardening equations are based on metallurgical or phenomenological investigations, and however the application of each equation has some limitation. In this study, the random growth of the binary tree method is introduced to develop the reliable hardening equations of various sheet metals (i.e. DP980, Pure Ti, AA5052-O, STS304, Ti-Gr2, and Mg-AZ31B) with no knowledge of existing hardening equation types. To evaluate the proposed method, the proposed equations developed by new approach are compared with the Voce, Swift, and Kim-Tuan hardening equations for stress-strain curve and the plastic instability point. Consequently, the proposed approach was proven to be very efficient to find the reliable and accurate hardening equation for any kind of materials.
Dance and the (Digital) Archive: A Survey of the Field
Authors: Fernandes Carla , Coelho Sílvia Pinto , Vieira Ana Bigotte
Published: November 2020

This paper offers a conspectus of several online dance archives made in the context of the Portuguese research project TKB. The online searches we conducted from 2018 to the end of 2019 suggested four broad categories of resources for what one may call ‘online dance archives’. Aiming to observe how dance resources are available on the internet, we made each category correspond to a different operation – to collect (to build up a collection), to accumulate (to gather almost random material), to store (to organize according to a set of rules), to assemble (to compose and curate material). And we posed the same set of questions: for each of these categories: what is the mission of the archive, who are its subjects and objects, and which community of users does it bring together? The outcome is both a general overview, and the possibility of a comparative approach. Our original motivation has been to survey and to analyse a sample of available online resources for dance documentation and/or archiving, in order to feed TKB future projects and experiences.

Starting from the TKB project perspective, and aiming at categorizing the different approaches to storage, curation, ownership and availability reflected by those archival platforms, we finally identified three major challenges in the relation between dance and the digital archive: the question of access, the ontology of dance and archive – what it is, what it has been, and what ‘dance and archiving’ can become in the future –, and the ‘Will to archive’ (cf. Lepecki 2010 ). Each one of these challenges will eventually provoke new questions as to the future of the TKB project and of its team of researchers, and the nature of the work they may undertake.
PODCAST WITH PEER ASSISTED LEARNING TO DEVELOP EFL LEARNERS LISTENING COMPREHENSION AND MOTIVATION
Authors: Huriyah Shofiyatul , Contessa Emilia
Published: November 2020

This study was aimed at investigating the effects of Podcast with Peer Assisted Learning in the EFL listening classroom. In conducting this research, pre-experimental design was used. The sample of this study was selected by using simple random sampling involving 27 students as the sample. The data collected were analyzed by using t-test (paired sample t-test) and percentage for two questionnaires, students’ motivation and perception. The result showed that (a) there was a significant difference in listening comprehension achievement before and after being taught by using Podcast with Peer Assisted Learning where t-obtained was 8.921 and the significance value was 0.000 which less than 0.05. On the basis of this result, it can be inferred that listening comprehension achievement of students before and after teaching by using podcast with peer-assisted learning was substantially improved. (b) The percentage score for learning motivation from the students was (55.6%) in high level, moderate 29.6% and low level was (5%). This score was considered students have high level of learning motivation. (c) most of the students gave positive perceptions on the use podcast with peer assisted learning in listening classroom. It can be concluded that teaching using podcast with peer assisted learning can develop the students listening comprehension achievement.
Neural Correlates of Freezing of Gait in Parkinson's Disease: An Electrophysiology Mini-Review
Authors: Marquez J. Sebastian , Hasan S. M. Shafiul , Siddiquee Masudur R. , Luca Corneliu C. , Mishra Virendra R. , Mari Zoltan , Bai Ou
Published: November 2020

Freezing of gait (FoG) is a disabling symptom characterized as a brief inability to step or by short steps, which occurs when initiating gait or while turning, affecting over half the population with advanced Parkinson's disease (PD). Several non-competing hypotheses have been proposed to explain the pathophysiology and mechanism behind FoG. Yet, due to the complexity of FoG and the lack of a complete understanding of its mechanism, no clear consensus has been reached on the best treatment options. Moreover, most studies that aim to explore neural biomarkers of FoG have been limited to semi-static or imagined paradigms. One of the biggest unmet needs in the field is the identification of reliable biomarkers that can be construed from real walking scenarios to guide better treatments and validate medical and therapeutic interventions. Advances in neural electrophysiology exploration, including EEG and DBS, will allow for pathophysiology research on more real-to-life scenarios for better FoG biomarker identification and validation. The major aim of this review is to highlight the most up-to-date studies that explain the mechanisms underlying FoG through electrophysiology explorations. The latest methodological approaches used in the neurophysiological study of FoG are summarized, and potential future research directions are discussed.