bluuebunny/crossref_metadata_2025 huggingface dataset:
A Review of Inference Methods Based on Knowledge Graph
Authors: Zhang Dexiang , Wang Hairong , Ding Yudan
Published: November 2020

With the development of Internet and big data technology, the scale of data is growing exponentially, and these data contain a lot of valuable information. As the most intuitive way of knowledge expression, knowledge map can effectively organize and express data. As an important means of knowledge map completion, knowledge inference aims to deduce new knowledge or identify wrong knowledge based on existing knowledge in the knowledge map. Different from traditional knowledge inference methods, knowledge inference methods based on knowledge graphs are also diversified according to their simple, intuitive, flexible and rich knowledge expression forms. According to the types of reasoning methods, knowledge reasoning methods based on knowledge graph can be divided into single-step reasoning and multi-step reasoning. According to the different methods adopted for each type, each type also includes reasoning based on distributed representation; reasoning based on neural network and mixed reasoning. These methods are summarized in detail, and the future research direction and prospect of knowledge inference based on knowledge map are discussed and prospected.
Mapping Property of Bilateration and Its Application to Human-Following Robot
Authors: Ahn Heungju , Dang Van Chien , Seo Hyeon Cheol , Lee Sang C.
Published: November 2020

Objective of this paper is twofold. The first one is to study the mapping property and unified form of the component equations of the unknown node in bilateration, and the second one is to introduce the concept model for human-following robot based on bilateration. Bilateration needs only two known nodes and two distances’ data. Because of the simple sensor arrangement in bilateration, it needs less computation and uses less number of unavoidable erroneous distances compared to the trilateration.
A Cognitive Robotic System for a Human-Following Robot
Authors: Van Dang Chien , Ahn Heungju , Seo Hyeon C. , Lee Sang C.
Published: November 2020

In this paper we propose a cognitive robotic system that utilizes computational psychology (the Soar cognitive architecture) and an obstacle avoidance method (modified dynamic window approach) in ROS (Robot Operating System) platform for controlling a mobile robot. This system is applied to perform a task of human-following, aiming to help the robot navigate itself to the target person avoiding collision. A cognitive agent based on Soar cognitive architecture is created to reason its current situation and make decisions on movement direction such as go-straight, turn-left or turn-right, whereas the dynamic window approach is modified to avoid collision by computing appropriate velocities for driving the robot motors. To the end, a part of implementation is presented to describes how the system works.
ASCII Art Classification Model by Transfer Learning and Data Augmentation
Authors: Fujisawa Akira , Matsumoto Kazuyuki , Ohta Kazuki , Yoshida Minoru , Kita Kenji
Published: November 2020

In this study, we propose an ASCII art category classification method based on transfer learning and data augmentation. ASCII art is a form of nonverbal expression that visually expresses emotions and intentions. While there are similar expressions such as emoticons and pictograms, most are either represented by a single character or are embedded in the statement as an inline expression. ASCII art is expressed in various styles, including dot art illustration and line art illustration. Basically, ASCII art can represent almost any object, and therefore the category of ASCII art is very diverse. Many existing image classification algorithms use color information; however, since most ASCII art is written in character sets, there is no color information available for categorization. We created an ASCII art category classifier using the grayscale edge image and the ASCII art image transformed from the image as a training image set. We also used VGG16, ResNet-50, Inception v3, and Xception’s pre-trained networks to fine-tune our categorization. As a result of the experiment of fine tuning by VGG16 and data augmentation, an accuracy rate of 80% or more was obtained in the “human” category.
An Intelligent Marshalling Model for Enterprise Station Freight Railway
Authors: Guo Junxia , Lu Gang , Xie Zili , Wen Jiawei , Xu Nanshan
Published: November 2020

Railway marshalling and transportation is an important component of the production supply chain for large and medium-sized enterprises in China. Traditional inefficient manual-made marshalling plans usually are not optimal in time or energy consuming. An efficient method needs to be developed to find the optimal marshalling plans automatically. This paper mainly studies the railway train automatic marshalling in large and medium-sized enterprises in China. Based on the investigation at the train station of a certain enterprise, according to the railway track information, carriage information, and production task information, this paper designs the abstracted railway state definitions of the station. Then based on the state definitions, the scheduling rules, and the objective function of time cost and economic cost, this paper converts abstract scheduling instructions into a general railway automatic marshalling model which can be executed by computers. By introducing the greedy strategies into different situations to optimize the algorithm of tracks occupation, carriages selection and train path selection in the model, the planning efficiency can be improved while ensuring the economic benefits of the enterprises and the quality of the formation plan. The experimental results show that the proposed model can generate fewer marshalling plans and find the optimal one faster in most cases, which proves the feasibility and availability of the model.
Characterizing Eating Disorder Issues on Sina Weibo
Authors: Tang Jingyun , Yu Guang , Wang Zheng , Yao Xiaoxu
Published: November 2020

Eating disorder (ED) was not learned well in China. To contribute to an understanding of the prevalence of EDs in China and to identify individuals with ED tendencies, we randomly selected one million Sina Weibo (social media platform similar to twitter) users and collected all their postings related to ED keywords. Using thematic analysis and sentiment analysis our study proposes an approach for identifying ED-prone people, the use of which reveals the current situation with regard to EDs in China. The identified ED-prone people were all willing to share information about diet, body shape and slimming while reporting their disease condition. Most of these users were young females, who were active on social media but in a negative frame of mind. With the method proposed in this study, it is possible to identify individuals with an ED and carry out timely intervention via social media at a very low cost.
Artificial Intelligence, Speech, and Language Processing Approaches to Monitoring Alzheimer’s Disease: A Systematic Review
Authors: de la Fuente Garcia Sofia , Ritchie Craig W. , Luz Saturnino
Published: November 2020

Background: Language is a valuable source of clinical information in Alzheimer’s disease, as it declines concurrently with neurodegeneration. Consequently, speech and language data have been extensively studied in connection with its diagnosis. Objective: Firstly, to summarize the existing findings on the use of artificial intelligence, speech, and language processing to predict cognitive decline in the context of Alzheimer’s disease. Secondly, to detail current research procedures, highlight their limitations, and suggest strategies to address them. Methods: Systematic review of original research between 2000 and 2019, registered in PROSPERO (reference CRD42018116606). An interdisciplinary search covered six databases on engineering (ACM and IEEE), psychology (PsycINFO), medicine (PubMed and Embase), and Web of Science. Bibliographies of relevant papers were screened until December 2019. Results: From 3,654 search results, 51 articles were selected against the eligibility criteria. Four tables summarize their findings: study details (aim, population, interventions, comparisons, methods, and outcomes), data details (size, type, modalities, annotation, balance, availability, and language of study), methodology (pre-processing, feature generation, machine learning, evaluation, and results), and clinical applicability (research implications, clinical potential, risk of bias, and strengths/limitations). Conclusion: Promising results are reported across nearly all 51 studies, but very few have been implemented in clinical research or practice. The main limitations of the field are poor standardization, limited comparability of results, and a degree of disconnect between study aims and clinical applications. Active attempts to close these gaps will support translation of future research into clinical practice.
Site Evaluation Form for Selecting the Right Tree for Your Planting Site
Authors: Gilman Edward F.
Published: November 2020

This document is ENH869, one of a series of the Environmental Horticulture Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Original publication date July 11, 2002.
Agricultural Land Values Increase as Citrus Land Values Decrease: 2002 Survey Results
Authors: Reynolds John E.
Published: November 2020

This is EDIS document FE360, a publication of the Department of Food and Resource Economics, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL. Published October 2002.
Putting Knowledge to Work: Outcome Performance of the UF/IFAS Welfare to Work Initiative
Authors: Bolton Elizabeth B.
Published: November 2020

This report, Putting Knowledge to Work: Outcome Performance of the UF/IFAS Welfare-to-Work Initiative as of May 11, 2001, 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.
Rove Beetles of the World, Staphylinidae (Insecta: Coleoptera: Staphylinidae)
Authors: Frank J. Howard , Thomas Michael C.
Published: November 2020

This document is EENY-114, 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 1999. Revised: March 2002.

https://edis.ifas.ufl.edu/in271
Florida Dampwood Termites, Neotermes castaneus (Burmeister), Neotermes jouteli (Banks), and Neotermes luykxi Nickle and Collins (Insecta: Isoptera: Kalotermitidae)
Authors: Scheffrahn Rudolf H. , Su Nan-Yao
Published: November 2020

This document is EENY-122 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: January 2000.

https://edis.ifas.ufl.edu/in279
UF/IFAS Extension Soil Testing Laboratory (ESTL) Analytical Procedures and Training Manual
Authors: Mylavarapu Rao , D'Angelo William , Wilkinson Nancy , Moon David
Published: November 2020

Previous versions:

Mylavarapu, Rao. 2009. “UF/IFAS Extension Soil Testing Laboratory (ESTL) Analytical Procedures and Training Manual”. EDIS 2009 (2), 14. https://doi.org/10.32473/edis-ss312-2009.

Mylavarapu, Rao, and Elizabeth Kennelley. 1. “UF/IFAS Extension Soil Testing Laboratory (ESTL) Analytical Procedures and Training Manual”. EDIS 2002 (5). https://doi.org/10.32473/edis-ss312-2002.
Beach Mice
Authors: Bird Brittany L. , Branch Lyn C. , Hostetler Mark E.
Published: November 2020

This document is WEC 165, one of a series of the Wildlife Ecology and Conservation Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Original publication date August 2002.

https://edis.ifas.ufl.edu/uw173
Spanish heraldic historiography in the 20th century
Authors:   Institute of World History of the Russian Academy of Sciences, Alexander Tchernikh
Published: November 2020

In the 20th century a historical approach to the problem of heraldry first appeared in the Spanish heraldic historiography. The books of Martín de Riquer, a prominent Spanish scientist, serve as a model for the study of this phenomenon. Another patriarch of Spanish heraldry F. Menendez Pidal de Navascué is of the opinion that «the timeless and extra-regional heraldry of numerous old textbooks is pure utopia, re-mote from reality». The next generation of living researchers represent-ed by E. Pardo de Guevara y Valdés, A. de Ceballos-Escalera y Gila, and L. Valero de Bernabé y M. de Eugenio also follows a historical ap-proach to the problem. Most of those who determine the level and quality of coat of arms contemporary research in Spain represent the Humanities. The positive attitude of society towards the heraldry – is a logical outcome of successful development of Spanish study of coat of arms in the 20th century.
Application of Logistic Regression Methods to Retinal Damage Detection on Digital Fundus Images
Authors: Salamah Umniy
Published: November 2020

The predictions about the number of people with diabetes will be increased which leads to a reduced balanced
ratio between the quality of the eye care service providers with the number of patients. The alternative to solve
this problem is to provide early detection service for the last condition of eye health in the diabetic patients. To
detect the damage of the retina can be done help machine learning algorithm of the logistics regression. The
justification for selection the logistic regression algorithm for retina damage detection in this research is that it has
been widely used in a variety of machine learning problems where LR can describe the response variables with
one or more variables predictors well. The methodology of research contained five phases, including preparation,
feature extraction, normalization, classification, evaluation for processing dataset of digital fundus image
were provided by EyePACS using scikit-learn as machine learning library and the Python as programming
language. As result, we found the accuracy of retina damage detection using logistic regression is 0.7392 with
following by F1-score 0.6317, Recall 0.7392, Precision 0.6043 and Kappa 0.0051.
Cost effective Parking System Using Computer Vision
Authors: Shah Kaushal , Rajbhoi Shivang , Prasad Nikhil , Patel Charmi , Raj Roushan
Published: November 2020

This paper presents an approach for detecting real-time parking slots which includes vision-based techniques. Traditional sensor-based systems are not cost effective as 'n' number of sensors are required for 'n' parking slots. Transmitting sensor data to central system is done by hardwiring or installing dedicated wireless system which is again costly. Our technique will overcome this problem by using camera instead of number of sensors which is expensive. For detection we are using a Convolutional Neural Networks (CNN) classifier which is custom trained. It is more robust and effective in changing light conditions and weather. The following system do not require high processing as detections are done on static images not on video stream. We have also demonstrated real-time parking scenario by constructing a small prototype which shows practical implementation of our system.
Virtualization In Cloud Computing : A Review
Authors: Kaur Ramandeep , Chopra Sumit
Published: November 2020

Cloud computing is one of the well developing fields in Computer Technology. Now days cloud computing is one of the fast growing technology because of online, cheap and pay as use scheme. Cloud Computing involves the concepts of parallel processing and distributed computing in order to provide the shared resources by means of Virtual Machines(VMs) hosted by physical servers. It is a service oriented design that reduces the cost of access to gather the information of the clients offer greater flexibility and demand based services. Cloud computing is emerging fastly and no doubt it is the next generation technology where humans will be using anywhere and anytime. In this internet world cloud computing is raising high by providing everything incense the required resources, applications, software, hardware, computing power to computing infrastructure, business process to control collaboration. Apart of its popularity it has some concerns which are becoming huddles for its wider adoption. In this paper a study has been made on virtualization concerns. In this paper, we present a complete survey of cloud computing and virtual machine migration.
Gastroenteroloji Kliniğine Başvuran Akut Üst Gastrointestinal Sistem Kanamalı Hastaların Retrospektif Değerlendirilmesi
Authors: SAĞIROĞLU Muhammed Fatih , ÇALAPKULU Murat , GÜLTEN Macit
Published: November 2020

Üst gastrointestinal sistem (GİS) kanaması mortalite ve morbidite oranı oldukça yüksek olan acil bir durumdur. Bu çalışmamızda hastanemize üst GİS kanaması ile başvuran hastaların demografik özellikleri, klinik bulguları, başvuru şikayetleri, hemodinamik bulguları, komorbid hastalıkları, ilaç kullanım öyküleri, endoskopik bulguları, eritrosit süspansiyon (ES) replasman sayıları, yatış günleri ile ilgili güncel veri elde etmek ve literatürle karşılaştırmak amaçlanmıştır. Bu çalışma Ocak 2012-Aralık 2017 tarihleri arasında Bursa Uludağ Üniversitesi Tıp Fakültesi Gastroenteroloji Bölümüne başvuran endoskopi yapılan ve üst GİS kanama tanısı konulan 300 hasta üzerinde retrospektif olarak yapıldı. Hastaların dosyaları hastane arşivinden tarandı. Hastaların yaş ortalaması 61,80±17,18 olarak saptandı. Hastaların %63’ü erkek %37’si kadındı. Hastaların en sık başvuru nedeni %37 ile melena olarak saptandı. Hastaların %84,3’üne eşlik eden komorbid bir hastalık vardı. En sık komorbid hastalık %42,7 ile hipertansiyondu. Hastaların %51,3’ü kanamaya yatkınlık yaratan bir ve daha fazla ilaç kullanmaktaydı, bu ilaçlardan nonsteroid antiinflamatuar ilaçlar (NSAİİ) ve asetil salisilik asit (ASA) kullanımı belirgin şekilde fazla olduğu saptandı. Hastaların %43,4’ünde peptik ülser (%24,7’sinde duodenal ülser; %18,7’sinde mide ülseri), %28’inde gastroözofagial varis kanaması, %9’unda gastrit (eritematöz/eroziv), %7,7’sinde özofajit/özofagus ülseri, %5,7’sinde malign ülser-kitle saptandı. Duodenal ülser erkeklerde daha sık saptandı. Sonuç olarak çalışmamızda üst GİS kanamasının en sık nedeni olarak peptik ülser kanaması saptandı. Özellikle ileri yaş, erkek cinsiyet, ASA ve NSAİİ kullanımı üst GİS kanamasında artmış bir risk faktörü olarak saptandı.
Cuerpos, resistencias y fronteras. Reflexiones desde el feminismo en torno a las políticas de desplazamiento
Authors: Padilla Mireles Andrea Itzel
Published: November 2020

A partir de una revisión desde los feminismos, además de la teoría crítica de las fronteras, este artículo examina el fenómeno de la migración como escenario complejo en el que la articulación cuerpo-territorio puede arrojar luz sobre los movimientos y potencias políticas contemporáneas. Migración, cuerpo y subjetividad son tres conceptos cuya relevancia y emergencia en el contexto global apremian la búsqueda, propuesta y experimentación de nuevos marcos analíticos de interpretación.
Correlación entre los aspectos personales y laborales con el desgaste profesional de enfermería en un hospital de segundo nivel
Authors: Nieto Martínez Elvia , Hernández Castañón Ma. Alejandra , Garza González Beatriz , Hernández Rodríguez Verónica Margarita , Sánchez Perales Mercedes
Published: November 2020

Introducción: el desgaste profesional de enfermería (DPE) es unproblema de salud laboral de las organizaciones, especialmente las de salud. El de enfermería es un grupo vulnerable, pues requiere el despliegue de actividades que necesitan control mental y emocional por el manejo de pacientes en los centros de trabajo. Objetivo: determinar la relación de los aspectos personales y laborales con el desgaste profesional de enfermería de un hospital de segundo nivel de atención. Metodología: estudio transversal correlacional en 165 enfermeras por muestreo probabilístico de un total de 227. Se aplicó el Cuestionario Desgaste Profesional de Enfermería (CDPEA), con 65 preguntas enfocadas a datos personales y laborales, y a las cuatro dimensiones del DPE: Antecedentes, Síndrome, Personalidad/afrontamiento y Consecuencias, con Alfa de Cronbach de 0.88. El DPE se clasificó como bajo, medio o alto. Se usó la estadística descriptiva, así como la correlación de Pearson y Chi cuadrada con un nivel de confianza del 95%. El estudio fue de riesgo mínimo. Resultados: el 90.1% de la muestra fue del sexo femenino, con un promedio de edad de 42±8.89 años y el 46% manifestó contar con licenciatura. El 34.6% laboraba en el turno nocturno, el promedio de antigüedad fue de 16±7.74 años, el de las horas de trabajo fue de 42±13 y el del número de pacientes fue de 7±13. El 84% presentaron nivel medio de DPE. La edad y la antigüedad se relacionaron con la dimensión personalidad/afrontamiento y el número de horas de trabajo con la de antecedentes. Conclusión: Ocho de cada diez enfermeras presentaron nivel medio de DPE, por lo que es pertinente que se generen programas de prevención, promoción e intervención en corresponsabilidad tanto de la institución como del propio personal, para reducir esta problemática. LUXMÉDICA AÑO 15, NÚMERO 44, MAYO-AGOSTO 2020, PP 59-70.
Florecimientos algales nocivos en las costas de Campeche, Golfo de México
Authors: Poot-Delgado Carlos Antonio
Published: November 2020

El presente estudio describe el estado de conocimiento sobre florecimientos algales nocivos (FAN) en las aguas costeras del estado de Campeche, México. Se realizó una búsqueda bibliográfica de 1965 a 2014 consultando reportes oficiales, reuniones académicas y artículos especializados (aproximadamente 30). El análisis de la literatura mostró que ha habido un avance significativo en los reportes de FAN. La abundancia de las especies nocivas presentó valores altos (106 células l-1) durante la temporada de lluvias (junioseptiembre). Se registró la presencia de especies potencialmente nocivas: los dinoflagelados Karenia brevis, Pyrodinium bahamense var. bahamense, Prorocentrum mexicanum, P. minimum y la cianobacteria Cylindrospermopsis cuspis.
Caracterización hidrográfica de las cuencas de la Bahía de Navidad, Jalisco, México
Authors: Mariscal-Romero José , Chávez-González Tunuary Roberto , Arciniega-Flores Judith
Published: November 2020

Con base en diferentes parámetros e índices hidrográficos se realizó una caracterización física del área de drenaje de la Bahía de Navidad, Jalisco, México. Los resultados permitieron identificar, y definir con mayor precisión las bases del comportamiento hidrográfico de tres pequeñas subcuencas que drenan y desembocan en el océano Pacífico; 1) Arroyo El Pedregal de peligrosidad alta impacta de manera independiente sobre San Patricio-Melaque, 2) Arroyo El Organito de peligrosidad moderada desemboca en laguna El Tule, y zonas urbanizadas aledañas, 3) Arroyo Seco de baja peligrosidad determina las condiciones hidrológicas de laguna Barra de Navidad. Se concluye que el deterioro ambiental, alto grado de fragmentación ecológica y deforestación, aunados a especificidades hidrográficas calculadas por los índices, las hace altamente susceptibles en diferentes grados a situaciones de riesgo y emergencia por inundaciones, aluviones y deslaves ante eventos hidrometeorológicos cada vez más frecuentes y potentes de los últimos años.
Extractos de pulpa de café: Una revisión sobre antioxidantes polifenólicos y su actividad antimicrobiana
Authors: Martínez-Alemán Saira Rocío , Hernández-Castillo Francisco Daniel , Aguilar-González Cristóbal Noé , Rodríguez-Herrera Raúl
Published: November 2020

El descubrimiento e implementación de nuevas estrategias de biorremediación es un campo de gran interés actualmente a nivel mundial. Recientemente, la utilización de extractos acuosos y etanólicos procedentes de plantas ha atraído el interés general debido a que pueden ser obtenidos en el laboratorio y sus efectos pueden analizarse en condiciones controladas dentro de invernaderos, además de que se ha demostrado que no dañan el medio ambiente y sus residuos son fáciles de degradar. De manera interesante, se ha descrito que algunos compuestos también poseen actividad contra patógenos, entre estos se ha encontrado que extractos de la pulpa de café son capaces de inhibir el crecimiento de bacterias patógenas como Escherichia coli y Staphylococcus aureus. En esta revisión, discutiremos la implicación de los componentes antioxidantes y fitoquímicos de extractos de pulpa de café sobre el crecimiento de bacterias y hongos que ocasionan daño en los alimentos y en salud humana.
La vacunación de murciélagos contribuirá a obtener y mantener el estado libre de rabia en las naciones
Authors: Ruiz-Saldaña Melissa
Published: November 2020

La rabia es altamente contagiosa y tiene una mortalidad cercana a 100%. Los pacientes que presentan la enfermedad, manifiestan sintomatología grave como irritabilidad y excesivo dolor. Los esfuerzos de vacunación a nivel mundial de los animales de compañía han permitido un control de la enfermedad, llevándola prácticamente a la erradicación. Este estatus puede revertirse porque no solo los animales de compañía pueden transmitir la enfermedad. Existe probabilidad de contagio humano a través de la fauna silvestre. En el presente trabajo se pretendió determinar la principal fuente de contagio que provoca a las naciones perder el estatus de erradicación de la rabia. Se encontró que un medio de contagio crítico es la transmisión de rabia por parte de los murciélagos, sin importar sus hábitos alimenticios, por lo que se proponen estrategias para alcanzar la meta de la erradicación de la rabia a nivel mundial.
Dinámica y especialización regional de la producción de carne de pollo en México, 2004-2017
Authors: Rebollar-Rebollar Eulogio , Rebollar-Rebollar Samuel , Rebollar-Rebollar Alfredo , Hernández-Martínez Juvencio , Gómez-Tenorio Germán
Published: November 2020

A partir de 2003, la producción nacional de carne de pollo registró cambios en su estructura en cada región productora. El objetivo fue obtener el comportamiento y especialización productiva de carne de pollo y su dinámica en ocho territorios de México, de 2004 a 2017. Se utilizaron tasas de crecimiento y técnicas de análisis regional. Jalisco obtuvo el crecimiento y dinamismo mayor de las regiones estudiadas, con ganancia hipotética de 18.26 Mt como resultado de una mayor especialización, competitividad entre regiones y mayores entornos productivos. Puebla se contrajoen el lapso analizado.
Propóleo y miel de Apis mellifera, complemento nutricional para la producción de plántulas de chile habanero
Authors: Uch-Samos Eric Moisés , Interián-Ku Víctor Manuel , Cázares-Sánchez Esmeralda , Sánchez-Azcorra Pablo Santiago , Casanova-Villarreal Víctor Eduardo , González-Rodríguez Felipe de Jesús
Published: November 2020

La miel de abeja multifloral y propóleo pueden ser usados como complemento nutrimental para obtener plántulas de chile habanero de buena calidad. Para ello, semillas del genotipo ITZM-H1 se sembraron en charolas con sustrato inerte y se regaron con agua, solución nutritiva Steiner a 50% y aspersiones foliares de miel y propóleo cada dos días. Se midió el volumen radical, altura de planta, diámetro de tallo, el número de hojas, pesos fresco y seco de la plántula, parte aérea y radical y se determinó el contenido de N, P, K, Ca, Mg, Cu, Fe, Zn y Mn. Se utilizó un diseño experimental completamente al azar con seis tratamientos y cinco repeticiones.
Rendimiento y calidad de fruta de lima ‘Persa’ con nutrición química, estiércol y leguminosa en Martínez de la Torre, Veracruz, México
Authors: Berdeja-Arbeu Raúl , Gómez Missael Víctor , Méndez-Gómez José , Escobar-Hernández Ramiro , Pérez-Marroquín Guillermo Jesuita
Published: November 2020

Con el objetivo de aumentar el rendimiento y calidad de fruto de lima ‘Persa’ injertada en limón ‘Volkameriana’, se realizó un experimento con fertilización química y nutrición orgánica (estiércol y leguminosa Pueraria phaseoloides). El experimento se llevó a cabo en el rancho ‘San Antonio’, municipio de Martínez de la Torre, Veracruz. Se utilizó un diseño en bloques completamente al azar con cuatro tratamientos y cinco repeticiones. El número de frutos por rama no presentó diferencias estadísticas (P ≤0.05) entre tratamientos, la longitud de rama, número de hojas, peso de fruto, relación diámetro polar/ecuatorial y peso específico de hoja fue igual estadísticamente entre los tratamientos (P ≤0.05), y el menor grosor de cáscara fue con fertilización foliar con diferencias estadísticas (P ≤0.05). Con base en los resultados obtenidos se concluye que la nutrición orgánica al suelo es una alternativa en rendimiento y calidad de fruto de lima ‘Persa’.
施工期间地下室顶板在多种工况下的承载力验算
Authors: 王 刚
Published: November 2020

文章结合工程实例，考虑施工期间地下室顶板在多种工况作用下（行车荷载、机械设备基础、材料及构件堆载），计算出等效均布荷载和原设计荷载进行比较，如原设计荷载不满足则需考虑进行结构加固支撑措施，以确保施工期间地下室顶板在不发生整体破坏的前提下，避免结构裂缝对地下室防渗漏及结构耐久性产生不利影响。
关于建筑工程中大体积混凝土浇筑施工技术研究
Authors: 薛 新宝
Published: November 2020

大体积混凝土已经成为当前我国建筑行业发展中非常重要的一种施工技术，当前大多建筑都需要应用到大体积混凝土。大体积混凝土有着较小的表面面积，在浇筑过程中内部容易集中大量的热量难以及时释放出来，这就导致容易出现内外较大的温差，加上荷载、施工技术等方面的不足，容易出现裂缝等质量问题。工作人员需要加强掌握大体积混凝土浇筑技术从而确保保质保量地完成施工作业。
城镇燃气企业安全运行管理
Authors: 李 斯
Published: November 2020

在社会快速发展的推动下，使得我国城市化建设工作得到了全面的发展，从而为燃气行业的发展带来了良好的机遇。就民众的生活来说，燃气的运用范围十分的广泛，所以针对燃气企业安全运行加以切实的管理是具有重要的影响作用的。然而燃气能源自身最为突出的特征就是：易燃、易爆、稳定性差等等，正是因为这些特征的存在，所以燃气企业务必要对安全运行工作加以重点关注，一旦在企业在安全运行方面出现任何的失误，那么极易引发危险事故的发生，最终所造成的不良后果是无法弥补的。所以，燃气企业务必要对安全运行管理工作加以重点关注，并且从各个细节入手来加强监督，针对安全运行管理工作加以综合评估，将安全运行管理工作的作用彻底的发挥出来，最大限度的避免危险事故的发生。
Management of periradicular pathosis by single visit endodontic treatment using calcium hydroxide and mineral trioxide aggregate based sealer
Authors: Sheikh Md Abdul Hannan , Khalifa Eyad Al , Hossain Mozammal , Hossain Md Faruk , Karim Nazneen , Quader SM Abdul , Karim Fahd AA , Shaikh Abdul Kader
Published: November 2020

In this study, 120 teeth having periradicular pathosis were treated with single visit root canal treatment and then obturated with either calcium hydroxide containing sealer or mineral trioxide aggregate based sealer. The healing of periradicular pathosis was examined at 3, 6, and 12 months by clinical and radiological evaluation. Collected data were analyzed with standard statistical methods by using SPSS version- 20. The results showed that at 3 and 6 months, the differences between calcium hydroxide containing sealer or mineral trioxide aggregate based sealer were not statistically significant. However, the healing capability of periapical radiolucency at 12 months between two groups was statistically significant (P=0.03). The final outcome of the clinical and radiological investigation showed successful results of 96.6% and 98.1% in calcium hydroxide and mineral trioxide aggregate group, respectively. In conclusion, both calcium hydroxide and mineral trioxide aggregate based sealers are almost equally effective in single visit root canal therapy for the management of periradicular pathosis.

Update Dent. Coll. j: 2020; 10 (2): 10-13
DEVELOPMENT OF TEACHING MATERIALS FOR ILLUSTRATED STORY ORIENTED PROBLEM BASED LEARNING ASSISTED ANDROID TO IMPROVE SCIENCE LEARNING OUTCOMES
Authors: Zulifah Siti
Published: November 2020

This study aims to develop developing teaching materials oriented Problem Based Learning (PBL) android-assisted android to improve science learning outcomes in class IV Elementary School. The approach used is research and development (R&D). This research method is mixed methods design. The subjects in this study were students in grade IV SDN 1 and 2 Manyargading, SDN 1 and 2 Bandungrejo and SDN Teluk Kulon Jepara Regency. Data collection techniques using questionnaires, observations, interviews, and documentation. PBL-oriented comics-based teaching materials supported by android media are developed in reference to the stages of development by Borg and Gall. The results showed that PBL-oriented comic teaching materials assisted by android media are feasible to be applied in learning to improve science learning outcomes. This is based on the results of the validity test, the effectiveness and practicality of teaching materials. Validity test results show that the assessment of material experts, media, language and practitioners shows good categories. In the effectiveness test, it is known that student learning outcomes have increased from an average pretest of 51.2 to 76.8 in the posttest. In extensive trials it is known that student learning outcomes of the experimental class have an average value (86.5) better than the control class (73.2). Different test results showed the value of p = 0,000 (p <0.05), meaning that there were significant differences in the learning outcomes of the experimental and control class students. Thus it was said that PBL oriented android-based teaching materials were effectively used to improve science learning outcomes. In practicality test, it is known that android-based PBL-oriented teaching materials get a good response from students and teachers.
A Study on the Influence of Laser Power on the Microstructure and Mechanical Properties of Functionally Graded Materials Produced by Direct Energy Deposition
Authors: Shin Giseung , Yoon Ji hyun , Kim Dae Whan , Park Yongho , Kim Jeoung Han
Published: November 2020

This study investigated the effects of laser power on the microstructure and mechanical properties of functionally gradient materials (FGM) produced by direct energy deposition. The FGM consisted of five different layers, which were a mixture of austenitic stainless steel (Type 316L) and ferritic steel (HSLA). During the direct energy deposition, two different laser power conditions (450W and 380W) were used. The ratio of Type 316L and HSAL at each deposition layers were 100:0, 65:35, 50:50, 25:75, and 0:100. After the direct energy deposition process, no cracks or delamination were seen between layers of the FGM. The effects of laser power on chemical composition and microstructure were not significant. However, as the laser power decreased, tensile strength and elongation changed with a small change in grain size.
Dance Archives in Brazil: A Brief Introduction
Authors: Guarato Rafael
Published: November 2020

This work presents a brief conspectus of the existing dance archives in Brazil and the historical circumstances of their development. A brief introduction to the history of dance is provided, with guidance on practical ways of using available dance archival resources.
An onomasiological approach to nominal compound semantics
Authors: Antoniová Vesna Kalafus
Published: November 2020

This paper addresses the semantics of compounding from an onomasiological point of view. It reports on the results of a corpus-based study of 500 English N+N compounds, the primary goal of which is to delimit a set of onomasiological structure rules on the basis of the admissible and inadmissible combinations of cognitive categories at the onomasiological level. The question of the semantics of nominal compounds has been considered in a number of theoretical frameworks; nevertheless, the difficulties related to the interpretation of N+N compounds have not been satisfactorily clarified. The application of the onomasiological approach to nominal compound semantics proves powerful as it sheds more light on the meaning relationships between constituents of these units. At the same time, it allows for the identification of the tendencies for the coinage of N+N compounds based on their internal semantic structure and narrows down the number of possible combinations of semantic categories thereby increasing the meaning predictability of this compound type.
Peningkatan Nilai Impak Baja Hadfield Mn 12 Melalui Proses Perlakuan Panas Homogenisasi Bertahap
Authors: Hidayat Ery , Bandanadjaja Beny
Published: November 2020

Hadfield manganese steel is the steel with a composition of 1.0-1.4% C and 10-14% Mn, where the C: Mn ratio is made at 1:10. In as-cast conditions, the steel has a structure of carbide (Fe, Mn) 3C at the grain boundary, formed during slow cooling in the sand mold. The carbide existence can cause brittle properties of the material and needs to be eliminated by a heat treatment process that is homogenization (or solution treatment). In this study, a stepped heat treatment process was carried out by giving preheating at temperatures below the austenitizing temperature of 600 oC and 700 oC. The austenitizing temperature is given lower than the conventional method which usually uses 1050 oC, wherein this study austenitizing heating was given at 980 oC. Rapid quenching is performed using water with agitation or stirring to ensure that the cooling rate is fast enough to generate a 100% austenite structure. The results achieved that the sample with a stepped heat treatment process with a preheating temperature of 600 oC and followed by austenitizing of 980 oC could perform finer austenite grains, with the highest impact value of 255 Joules. A fracture of the impact sample resulting very ductile behavior which can be seen that the impact sample is not completely broken.
Pengaruh Campuran Bioetanol – Pertamax 92 Terhadap Kinerja Motor Otto
Authors: Susilo Sugeng Hadi , Sabudin Angga Muhammad
Published: November 2020

Problems in the process of burning fossil fuels still produce power and torque of the engine with large fuel oil needs. Various ways can be done to improve engine performance by using bioethanol as a mixture of pertamax without reducing engine power and torque, the use of fuel pertamax may reduce. The purpose of the study to determine effect of the use of bioethanol mixture with pertamax fuel to power and torque of gasoline engine, in addition to know the working temperature of radiator water and exhaust gas especially the injection system capacity of 150 cc. The study process uses experimental method which is devided into several steps: mixture bioetanol and pertamax 92 with volume comparison, vehicle power and torque test use chasis dynamometer, working temperatur of radiator water and exhaust gas test use sensor thermocouple K type. The results of the study indicate that in the Bp 30% mixture on 8000 rpm, the power is increased by 12.92 Hp with radiator water temperature of 52.96 °C at the exhaust gas of 126.85 °C. While the torque is increased by 13.47 Nm blend of Bp 30% at 6000 rpm with radiator water temperature of 52.51 °C at the exhaust gas of 136.15 °C. Based on the result mixture bioetanol and pertamax 92 with precentages 30% increased vehicle power and torque.
IMPROVING STUDENTS’ WRITING SKILL USING A MOBILE LEARNING APPLICATION
Authors: Linuwih Endar rachmawaty , Winardi Yohanes Kurniawan
Published: November 2020

Writing is claimed to be the most difficult skill for second language and foreign language learners. Thus, it needs an effective model of teaching to improve the students’ writing skill. This study aims to describe the use of a mobile learning application Busuu to improve students’ writing skill. This is a classroom action research (CAR) that was conducted into two cycles. Each cycle consisted two meetings and involved four steps namely planning, action, observation and reflection. The data were collected by using technique of observation, test, and interview. The subject of the research was fourteen students of Widya Kartika University. The result showed that there was an improvement in students’ writing skill. It can be seen from the result of writing test in each cycle which was improved. Mean score of the students’ writing in cycle 1 was 61.14 and the mean score of the students’ writing was 71.42 in cycle 2. In addition, the results of the interview showed that the students had a positive attitude toward the implementation of mobile learning application Busuu in the activities of learning writing.
INSTAGRAM: HOW DO STUDENTS VIEW ON IT IN SPEAKING CLASSROOM
Authors: Devi Puspita , Virgiana Bianca , Auli Merita
Published: November 2020

The emergence of the 4.0 era requires the world of education to adapt to technology. Practicing and learning English can take the advantage of the sophisticated technology, especially applications that can be downloaded from students' smart phone. Students acknowledge that English learning done in the classroom is easy for them to forget because it is rarely used in everyday life. Practices done in the classroom do not have enough time for all students to speak English, and students are less motivation to speak English outside the classroom. Integrating Instagram into the process of teaching English speaking is believed could motivate students to speak and increase their speaking ability. Various features on Instagram can help students in doing assignments. Tasks may be packaged attractively within the variety of videos based on a certain theme and uploaded to Instagram. This study aimed to determine students' perceptions related to the use of social media Instagram in learning English speaking. This descriptive study used forty-four students Communication Science in academic year 2019/2020 who took Bahasa Inggris Keahlian. To determine students' perceptions, researchers used questionnaire adopted from Dornyei, 2011. The results of the study showed a positive or good response on students' perceptions towards the use of Instagram in learning English Speaking. Furthermore, Instagram can be used as another medium in teaching speaking. This is strengthened by the increase in self-confidence, learning motivation, and student interest in speaking in English.
FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network
Authors: Gu Hong , Xu Xiaolu , Qin Pan , Wang Jia
Published: November 2020

Identification of driver genes, whose mutations cause the development of tumors, is crucial for the improvement of cancer research and precision medicine. To overcome the problem that the traditional frequency-based methods cannot detect lowly recurrently mutated driver genes, researchers have focused on the functional impact of gene mutations and proposed the function-based methods. However, most of the function-based methods estimate the distribution of the null model through the non-parametric method, which is sensitive to sample size. Besides, such methods could probably lead to underselection or overselection results. In this study, we proposed a method to identify driver genes by using functional impact prediction neural network (FI-net). An artificial neural network as a parametric model was constructed to estimate the functional impact scores for genes, in which multi-omics features were used as the multivariate inputs. Then the estimation of the background distribution and the identification of driver genes were conducted in each cluster obtained by the hierarchical clustering algorithm. We applied FI-net and other 22 state-of-the-art methods to 31 datasets from The Cancer Genome Atlas project. According to the comprehensive evaluation criterion, FI-net was powerful among various datasets and outperformed the other methods in terms of the overlap fraction with Cancer Gene Census and Network of Cancer Genes database, and the consensus in predictions among methods. Furthermore, the results illustrated that FI-net can identify known and potential novel driver genes.
Evaluation of the Anticancer Activity of a Bile Acid-Dihydroartemisinin Hybrid Ursodeoxycholic-Dihydroartemisinin in Hepatocellular Carcinoma Cells
Authors: Huang Tzu-En , Deng Yi-Ning , Hsu Jui-Ling , Leu Wohn-Jenn , Marchesi Elena , Capobianco Massimo L. , Marchetti Paolo , Navacchia Maria Luisa , Guh Jih-Hwa , Perrone Daniela , Hsu Lih-Ching
Published: November 2020

Hepatocellular carcinoma (HCC) is the most common primary liver malignancy in adults and accounts for 85–90% of all primary liver cancer. Based on the estimation by the International Agency for Research on Cancer in 2018, liver cancer is the fourth leading cause of cancer death globally. Dihydroartemisinin (DHA), the main active metabolite of artemisinin derivatives, is a well-known drug for the treatment of malaria. Previous studies have demonstrated that DHA exhibits antitumor effects toward a variety of human cancers and has a potential for repurposing as an anticancer drug. However, its short half-life is a concern and may limit the application in cancer therapy. We have reported that UDC-DHA, a hybrid of bile acid ursodeoxycholic acid (UDCA) and DHA, is ∼12 times more potent than DHA against a HCC cell line HepG2. In this study, we found that UDC-DHA was also effective against another HCC cell line Huh-7 with an IC50 of 2.16 μM, which was 18.5-fold better than DHA with an IC50 of 39.96 μM. UDC-DHA was much more potent than the combination of DHA and UDCA at 1:1 molar ratio, suggesting that the covalent linkage rather than a synergism between UDCA and DHA is critical for enhancing DHA potency in HepG2 cells. Importantly, UDC-DHA was much less toxic to normal cells than DHA. UDC-DHA induced G0/G1 arrest and apoptosis. Both DHA and UDC-DHA significantly elevated cellular reactive oxygen species generation but with different magnitude and timing in HepG2 cells; whereas only DHA but not UDC-DHA induced reactive oxygen species in Huh-7 cells. Depolarization of mitochondrial membrane potential was detected in both HepG2 and Huh-7 cells and may contribute to the anticancer effect of DHA and UDC-DHA. Furthermore, UDC-DHA was much more stable than DHA based on activity assays and high performance liquid chromatography-MS/MS analysis. In conclusion, UDC-DHA and DHA may exert anticancer actions via similar mechanisms but a much lower concentration of UDC-DHA was required, which could be attributed to a better stability of UDC-DHA. Thus, UDC-DHA could be a better drug candidate than DHA against HCC and further investigation is warranted.
Interbrain Synchrony in the Expectation of Cooperation Behavior: A Hyperscanning Study Using Functional Near-Infrared Spectroscopy
Authors: Zhang Mingming , Jia Huibin , Zheng Mengxue
Published: November 2020

Expectation of others’ cooperative behavior plays a core role in economic cooperation. However, the dynamic neural substrates of expectation of cooperation (hereafter EOC) are little understood. To fully understand EOC behavior in more natural social interactions, the present study employed functional near-infrared spectroscopy (fNIRS) hyperscanning to simultaneously measure pairs of participants’ brain activations in a modified prisoner’s dilemma game (PDG). The data analysis revealed the following results. Firstly, under the high incentive condition, team EOC behavior elicited higher interbrain synchrony (IBS) in the right inferior frontal gyrus (rIFG) than individual EOC behavior. Meanwhile, the IBS in the IFG could predict the relationship between empathy/agreeableness and EOC behavior, and this prediction role was modulated by social environmental cues. These results indicate the involvement of the human mirror neuron system (MNS) in the EOC behavior and the different neural substrates between team EOC and individual EOC, which also conform with theory that social behavior was affected by internal (i.e., empathy/agreeableness) and external factors (i.e., incentive). Secondly, female dyads exhibited a higher IBS value of cooperative expectation than male dyads in the team EOC than the individual EOC in the dorsal medial prefrontal cortex (DMPFC), while in the individual EOC stage, the coherence value of female dyads was significantly higher than that of male dyads under the low incentive reward condition in the rIFG. These sex effects thus provide presumptive evidence that females are more sensitive to environmental cues and also suggest that during economic social interaction, females’ EOC behavior depends on more social cognitive abilities. Overall, these results raise intriguing questions for future research on human cooperative behaviors.