bluuebunny/crossref_metadata_2025 huggingface dataset:
Acid based disorders in intensive care unit: a hospital-based study
Authors: Rajendran Babu , Mallampati Seetha Rami Reddy , Jha J. Sheju Jonathan
Published: January 2019

Background: Acid base disorders are common in the ICU patients and pose a great burden in the management of the underlying condition.Methods: Identifying the type of acid-base disorders in ICU patients using arterial blood gas analysis This was a retrospective case-controlled comparative study. 46 patients in intensive care unit of a reputed institution and comparing the type of acid-base disorder amongst infectious (10) and non-infectious (36) diseases.Results: Of the study population, 70% had mixed acid base disorders and 30% had simple type of acid base disorders. It was found that sepsis is associated with mixed type of acid-base disorders with most common being metabolic acidosis with respiratory alkalosis. Non-infectious diseases were mostly associated with metabolic alkalosis with respiratory acidosis. Analysis of individual acid base disorders revealed metabolic acidosis as the most common disturbance.Conclusions: These results projected the probability of acid bases disorders in various conditions and help in the efficient management. Mixed acid base disorders are the most common disturbances in the intensive care setup which is metabolic acidosis with respiratory alkalosis in infectious diseases and metabolic acidosis is the most common simple type of acid base disorder.
Aktualny pogląd na komórkową funkcję S100A6 i jego ligandów, CacyBP/SIP i Sgt1
Authors: Filipek Anna , Leśniak Wiesława
Published: January 2019

S100A6, a calcium binding protein, whose gene was first identified as growth inducible one, has been linked to the process of cell proliferation and growth related phenomena ever since. While the structure and Ca2+ binding kinetics of S100A6 are rather well established the mechanism of its action has only recently begun to be elucidated. It is nonetheless evident that S100A6 exerts its biological role by interacting with a wide range of proteins ligands, many of which have been identified in our laboratory. Our research concentrates on two S100A6 ligands, CacyBP/SIP and Sgt1, which in turn possess their own interactomes. The imposing list of S100A6-interacting proteins indicates that together with its ligands it is a component of an extended network of cellular interactions and may be involved not only in cell proliferation but also in many other processes, of which cell differentiation and response to stress seem to be best documented.
Are we familiar with this rare indicative of a higher risk for breast cancer?
Authors: ALTUNKESER Ayşegül , ARSLAN Fatma Zeynep , ALKAN Ender , GÜNLER Tuğba
Published: January 2019

Secretory
adenosis (SA) of breast is rarely seen benign breast lesion, which might be
associated with increased risk for breast carcinoma. SA is an extremely rare
lesion, the cases reported in the literature and long-term follow-up studies
are limited and radiological and histopathological diagnosis of SA is mostly
challenging; it could be frequently misinterpreted as ductal carcinoma in situ.
Because of these reasons; clinical significance and management of SA is still
not fully understand and relative risk of SA is still not well-established.
Herein; we presented mammography, ultrasound, magnetic resonance imaging and
microscopic findings in a patient with SA of breast.
O exercício da liberdade na ética tradicional ribeirinha pantaneira amparado na dialogicidade e na criticidade: reflexões teóricas
Authors: Souza Silvano Carmo de , Logarezzi Amadeu José Montagnini
Published: January 2019

Referindo-se ao trabalho empírico de uma tese de doutorado desenvolvida com pescadoras e pescadores do Pantanal mato-grossense, este artigo desenvolve reflexões teóricas sobre alguns dos aspectos que demandaram maior aprofundamento durante a pesquisa. Inicia com uma discussão sobre a educação ambiental dialógico-crítica adotada, particularmente em relação aos adjetivos "dialógica" e "crítica", com destaque para a ênfase na dialogicidade como centralidade do processo. Sob a motivação da explicitação de uma ética tradicional ribeirinha pantaneira, passa a discutir o papel do trabalho na constituição dos sujeitos desse contexto e na emergência dessa ética, processos complexos que envolvem ainda outros conceitos importantes, como liberdade, necessidade, contingência, constrangimento e possibilidade, os quais são também abordados, em seus aspectos mais fundamentais e no sentido que adquirem no contexto da investigação empírica que refere estas reflexões.Palavras-chave: Educação ambiental dialógico-crítica. Ética tradicional ribeirinha Pantaneira. Educação ambiental com comunidades tradicionais no Pantanal.
A Pedologia nos cursos de Geografia da UNESP: o tema solos e sua aplicabilidade na educação ambiental
Authors: Gomes Junior Estevão Conceição , Perusi Maria Cristina , Ramos Débora Jurado
Published: January 2019

Oferecido nos Campus de Ourinhos, Presidente Prudente e Rio Claro, o curso de Geografia da Universidade Estadual Paulista pode ser encontrado nas modalidades licenciatura e bacharelado, nos períodos diurno, integral (Campus Rio Claro) e noturno, com turmas entre 40 e 45 alunos. O geógrafo possui a missão de compreender os elementos e o processo de produção do espaço geográfico, seja ele urbano ou rural, sob uma perspectiva integrada dos aspectos econômicos, políticos, sociais, culturais, ambientais, etc. Nessa direção, a educação em solos, uma das vertentes da educação ambiental, pode ser entendida como tema integrador, por ser resultado dos processos e fatores naturais. Além disso, o recurso solo, já não tão natural, é primordial para o desenvolvimento de macro e microrganismos, dentre eles, os que alimentam a maioria da população humana, o que por si só justificaria sua importância. A disseminação das práticas de uso e conservação dos solos se mostra como uma tarefa relevante para os futuros professores, principalmente àqueles voltados para as discussões da problemática ambiental. Portanto, realizou-se um estudo detalhado da estrutura curricular do curso de Geografia dos três campi da UNESP, no que diz respeito à disciplina de Pedologia, e as possibilidades de estudos voltados para a educação ambiental. Observou-se uma baixa conformidade entre a oferta da disciplina nos campi estudados, o que pôde ser exemplificado pelo baixo número de trabalhos de conclusão de curso gerados pelos alunos egressos, o que, consequentemente, pôde ter limitado os estudos e discussão acerca da educação ambiental e/ou educação em solos.
Educação Ambiental em Foco no Ensino Básico
Authors: Uhmann Rosangela Inês Matos , Vorpagel Fernanda Seidel
Published: January 2019

A presente pesquisa refere-se ao estudo das Estratégias de Ensino (EE) que permeiam a Educação Ambiental (EA) na Educação Básica (EB). A EA é um tema transversal que em meio educacional precisa de atenção, visto que o trabalho pedagógico desenvolvido na escola precisa proporcionar ações e atitudes que insiram o educando na abrangência da complexidade crítica da EA. Para tanto, investigamos por meio de uma revisão bibliográfica em periódico e questionário feito a professores da EB sobre quais e como são efetivadas as EE de EA. A partir do estudo, emergiram as categorias: práticas de EA em periódico e a EA no contexto da EB, o que evidenciou a falta de sistematização das práticas desenvolvidas na EB, mas que pode ser melhorado com a inserção de um trabalho coletivo em meio escolar na direção contínua das práticas de EA.
A TEORIA DOS CAMPOS MÓRFICOS E A EMERGÊNCIA DA VISÃO SISTÊMICA SOBRE O EQUILÍBRIO NO MEIO AMBIENTE
Authors: Saito Carlos Hiroo , Saito Ivete Teresinha , Ribeiro Ivana de Campos
Published: January 2019

Acredita-se que o conhecimento dos processos ecológicos é fundamental e, sua ausência a seria a causa primordial de comportamentos danosos ao ambiente. Percebe-se a necessidade de equilibrar o aprendizado de conceitos científicos sobre processos na natureza com a mudança de percepção e de valores na Educação Ambiental (EA). O objetivo deste trabalho é a avaliação dos resultados de uma experiencia de intervenção com 120 alunos entre 10 e 11 anos, utilizando-se um jogo lúdico para tratar o conceito de equilíbrio dinâmico na natureza. Os resultados apontaram a antecipação do conceito o qual seria trabalhado posteriormente. A mudança de percepção dos processos, aliada ao desenvolvimento de valores por meio de jogos educativos, pode ser um caminho produtivo para a realização de uma Educação Ambiental mais profunda. Esta EA deve buscar seu sustentáculo em bases transdisciplinares, onde a teoria dos campos mórficos pode ser um lastro forte para compreender os processos de desenvolvimento de um novo saber e valores ecocêntricos.
A escola e o renascimento da terra: educação na terra indígena Te´ýkue
Authors: Guimarães Verônica Maria Bezerra
Published: January 2019

O trabalho analisa o papel da educação escolar na terra indígena Te´ýikue, Caarapó, Mato Grosso do Sul, na construção de projetos de recuperação ambiental. Foi realizado um estudo de caso através de pesquisa qualitativa com trabalho de campo por via de técnicas de observação direta, conversas, depoimentos, diários de campo, caminhadas, registro de fotografia e participação em encontros de professores indígenas. A população de estudo está caracterizada através de grupos representativos de: idosos, rezadores, professores e lideranças. O modelo de educação adotou o ensino da língua materna; a gestão compartilhada da escola; a valorização do conhecimento da cultura kaiowá-guarani; a construção de metodologias e de recursos didáticos próprios e a formação de professores indígenas. Foram realizados: projetos ambientais com a participação da comunidade; viveiro de mudas; unidade experimental; reflorestamento; recuperação de nascentes e de microbacias e um Fórum de discussões.
Student Research in a Cooperation Project of Innovation Management between Two Universities
Authors: Andreassen John Erik , Makarova Elena
Published: January 2019

This study examines active learning in international cooperation between two universities. It defines the common forms of active learning as most relevant for faculty involved and critically examines the core element of each element. The main focus is on student research investigated employees involvement in innovation investigating firms in two regional industries in Norway and Russia.
Using Outsourcing as a Competitive Edge: the Case of Medical Aid Schemes
Authors: Da Costa MarioPeter
Published: January 2019

After analyzing environments Rosenborg Football Club operates in we introduce the regional-global model as a new organizational model in order to explain the success of the team using insights from managerial cognition and chaos theory. The success of the club in the years from 1988 until 2002 can be explained by the use of good routines linked to improvisation. We link improvisation to “total football” and “flow theory as a means to achieve success. We focus on qualitative methods when interviewing the former coach Mr, Niels Arne Eggen and former players were interviewed using thematic analysis in order to gain deep insights. We also used secondary sources in the data collection process building on work a being conducted on Rosenborg as a leading Norwegian football club.
Capital Structure, Growth and Profitability: Evidence from Domestic Commercial Banks in Cambodia
Authors: Sokang Khun , Ratanak Nop
Published: January 2019

This paper aims to examine the impact of capital structure and growth on the profitability of domestic commercial banks in Cambodia. The study uses a panel least squares (PLS) method using a sample of 10 domestic commercial banks in Cambodia over the period of 2005-2013 to examine the relationship between capital structure, growth, and profitability of commercial banks. The finding reveals that capital structure variables including debt to equity (DE), equity to loan (EL), and equity to deposit (ED) have a significantly negative impact on return on assets (ROA) and return on equity (ROE) with 1% significance level. Moreover, the growth variables including growth in assets (GA) and growth in equity (GE) have shown a positive relationship with ROA and ROE. A significant relationship exists only between GE and ROE at 1% significance level.
Analyzing Knowledge Sharing Behavior for Security Guards in Hospitals
Authors: Orpipath Nutthapol
Published: January 2019

This research focuses on Knowledge Sharing Behavior of hospital security guards and attempts to establish a conceptual framework for better understanding of the knowledge sharing behavior. The main methodology of this study consists of the detailed literature review, enabling the design of comprehensive research model and highlighting the relevant interrelations between the postulated variables. Some hypotheses were structured on the basis of the most emphasized correlations. According to these hypotheses, factors such as Organizational Citizenship, Motivation and Intention have been highlighted as the ones which have the significant effect on the Knowledge Sharing Behavior, and Knowledge Sharing Behavior had the highest impact on the Organizational Performance.
Assessing Test Feedback Strategies Adopted By Primary School Teachers In Anambra State
Authors: Ezeugo Nneka Chinyere
Published: January 2019

In learning new skills, it is necessary that students receive some information (feedback), that tells them if they are on the right track. The strategies, tactics or means through which teachers provide feedback to pupils after assessments are, however, a source of concern. Thus, this study aimed at assessing test feedback strategies/tactics adopted by primary school teachers in Anambra State, Nigeria. This study is a descriptive survey conducted in Anambra State, a south-eastern State in Nigeria. The sample of the study consisted of 500 teachers drawn from 1054 public primary schools in the state. The study tested two hypotheses and answered two research questions. The instrument used for collecting data is a researcher-developed questionnaire, titled “Test Feedback Strategy Assessment Questionnaire” (TFSAQ). Mean, standard deviation and t-test were adopted to analyze the data collected. The study revealed that teachers majorly gave feedbacks in writing or print form which included handwritten comments on students’ assessed work, written numeric scores, grades, averages or positions, etc. They also gave face-to-face feedbacks to whole classes, individual students and small groups of students. Most of the teachers did not use electronic feedbacks. The feedbacks were of fairly good quality. The school location and the level of a class taught had no significant influence on teachers’ responses. As a result of the findings, the researcher recommended among other things that teachers should be given more training especially on electronic feedback strategies as well as ways of improving the qualities of their test feedbacks.
Disney And The Magical World Of Writing; How Combining Creativity With Learning Disabilities Can Promote Academic Success
Authors: Janzen Michelle
Published: January 2019

Through a Disney perspective, this author discusses how students can use creative strategies to cope with learning disabilities in secondary, post-secondary and even graduate levels of academic achievement. In particular, the paper will be presenting how the author, who has an infinity for “everything Disney”, chose to use both Disney Characters and Disney Song titles from movies and television shows, as a creative strategy in the organization of her master’s research thesis. The research study entitled “Why is it so hard to go a good thing? The Paradox and Dilemma of Parental Advocacy within the Individual Education Planning Process” took a qualitative, phenomenological approach to investigate the experiences of parental advocacy and to seek out macro/micro factors that may have contributed to positive or negative outcomes within the IEP process. The author used Disney song titles as an adaptive tool not only to help in the organization of the findings of the research, but also to help illuminate the phenomenological existential themes that were revealed through the analysis. The paper hopes to demonstrate that through the use of creative strategies in otherwise conventional academic expectations, students experiencing disabilities may increase the potential of achieving academic success.
Rethinking Teacher Retention In Hard-To-Staff Schools
Authors: Holmes Barbara , Parker DeJuanna , Gibson Jamel
Published: January 2019

National, state, and local educational agencies identify teacher retention as an issue of continuous importance and concern. This report addresses the issue of teacher retention through the lens of administrative effectiveness and involvement, as well as teachers’ intrinsic motivations. Relevant findings include structural framing of the educational environment, student behaviors, school district demands for improvement, and teacher perspectives on administrative support. The report iterates that teacher retention does not have a one-size-fits-all solution, and that each school division and individual school must work purposefully to devise plans to retain its most effective teachers.
Resilience among Syrian university students in Turkey
Authors: DEMİR Özgür Osman , ALİYEV Ramin
Published: January 2019

The purpose of this
research is to deeply examine the resilience in war victim immigrants based on
risk and protective factors. The sample of the research, which is structured as
a phenomenological study, a type of qualitative research, constitute of 5
women, 5 men and 10 university students. A semi-structured Immigrant University
Students Resilience Interview Form, created by the researchers, was used as a
data collection tool. According to the results, while the risk factors of the
participants were mainly societal, the protective factors were mainly individual.
Additionally, the risk factors are distrust in others, anger management, pessimism, financial difficulty, media effect, witnessing to death, interruption of education, social prejudice and unsupportive, new settlement, language problem, change of living space, death of family member, living apart to family. The protective factors
are; social contribution, career goals, patience, self-confidence, desire for learning, grit, spirituality, financial situation, host society support, immigrant support, family members support. Furthermore, it was found that the percentage of the
participants who consider themselves as happy and standing individuals which is
a sign of resilience was high.
A Dynamic Recommender System with Fused Time and Location Factors
Authors: Wang Xinhua , Yin Peng , Gao Yukai , Guo Lei ,   School of Information Science and Engineering, Shandong Normal University No.1 DaXue Road, Changqing District, Jinan, Shandong 250014, China,   School of Business, Shandong Normal University No.1 DaXue Road, Changqing District, Jinan, Shandong 250014, China
Published: January 2019

A recommender system is an important tool to help users obtain content and overcome information overload. It can predict users’ interests and offer recommendations by analyzing their history behaviors. However, traditional recommender systems focus primarily on static user behavior analysis. Recently, with the promotion of the Netflix recommendation prize and the open dataset with location and time information, many researchers have focused on the dynamic characteristics of the recommender system (including the changes in the dynamic model of user interest), and begun to offer recommendations based on these dynamic features. Intuitively, these dynamic user features provide us with an effective method to learn user interests deeply. Based on the observations above, we present a dynamic fusion model by integrating geographical location, user preferences, and the time factor based on the Gibbs sampling process to provide better recommendations. To evaluate the performance of our proposed method, we conducted experiments on real-world datasets. The experimental results indicate that our proposed dynamic recommender system with fused time and location factors not only performs well in traditional scenarios, but also in sparsity situations where users appear at the first time.
Noise Removal Method for Unmanned Aerial Vehicle Data to Estimate Water Quality of Miharu Dam Reservoir, Japan
Authors: Totsuka Shin , Kageyama Yoichi , Ishikawa Masato , Kobori Bunyu , Nagamoto Daisuke ,   Akita University 1-1 Tegata Gakuen-machi, Akita-shi, Akita 010-8502, Japan,   Civil Engineering & Eco-Technology Consultants Co. Sendai TB Building 6F, 4-3-10 Tsutsujigaoka, Miyagino-ku, Sendai-shi, Miyagi 983-0852, Japan,   Civil Engineering & Eco-Technology Consultants Co. KN Buiding 2F, 1-30, Kita 3, Higashi 3, Chuo-ku, Sapporo, Hokkaido 060-0033, Japan
Published: January 2019

Lake Sakurako is a reservoir of the Miharu Dam in Fukushima Prefecture, Japan. The water quality of the small lake becomes significantly worse during the summer owing to the occurrence of blue-green algae. Therefore, water quality management is a serious problem. Because the primary method of water quality analysis is direct collection from the target water area, the analysis range is limited, and the analysis of the entire water area is very difficult. Therefore, performing a wider range of analyses by remote sensing is a possible solution. In this study, we analyze near infrared (NIR) data acquired by unmanned aerial vehicles (UAVs). A fuzzy regression analysis is conducted on the UAV data and water measurements. Based on the experimental results of data from August 2015, the NIR data is confirmed to be useful in estimating the water quality conditions in Lake Sakurako. Furthermore, we investigate the noise removal process using a nonlocal mean filter and demonstrate that the process provides more detailed information regarding the lake’s water quality.
TSV Manufacturing Fault Modeling and Diagnosis Based on Multi-Tone Dither
Authors: Shang Yuling , Tan Min , Li Chunquan , Sun Liyuan ,   School of Electronic Engineering and Automation, Guilin University of Electronic Technology 1 Jinji Road, Guilin, Guangxi 541004, China,   School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology 1 Jinji Road, Guilin, Guangxi 541004, China,   Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology Guilin 541004, China
Published: January 2019

The faults in through-silicon via (TSV) have a critical impact on the reliability and yield of a three-dimensional integrated circuit (3-D IC). With the significant increase in the number of TSVs used in 3-D IC, the testing of TSVs for manufacturing faults poses certain serious challenges especially weak fault testing, and therefore it is important to have effective Design-For-Test (DFT) techniques. In this paper, we present a method for TSV testing using multi-tone dither signal, based on electrical characteristic analysis. This method mainly observes the differences in the root mean square (RMS) value of the output signal voltage between faultless and faulty TSV circuits to detect manufacturing faults, and uses only passive components such as metal lines, without consuming additional power for the testing. With regard to the common manufacturing faults such as voids and pinholes, the electrical characteristics of faulty TSVs are modeled and analyzed, and analytic equations of the faults, which are based on characteristic parameters, are explored. The ground-signal-TSV (GS-TSV) equivalent electrical model with manufacturing faults is simulated and tested by using a multi-tone dither test signal, which is generated by modulating an RF signal with an optimized multi-tone signal. The peak-to-average ratio (PAR) is used as the test evaluation parameter to determine the type and size of the fault. The simulation results demonstrate the effectiveness of the multi-tone dither test method in the detection of voids (as low as ohm level) and pinholes (up to mega ohm level). It is obvious that this method performs better in the diagnosis of weak manufacturing faults in TSVs.
Proposing an Online Testing Method for Gradual Migration of Information and Control System
Authors: Toyouchi Junichi , Yano Kojin , Terano Takao ,   Yokohama Research Laboratory, Hitachi, Ltd.
 292 Yoshida-cho, Totsuka-ku, Yokohama, Kanagawa 244-0817, Japan,   Tokyo Institute of Technology
 4259 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa 226-8503, Japan
Published: January 2019

To respond to changes in the requirements of the information and control system, it is necessary to rebuild the system with new functions and/or systems with a different architecture. In this paper, we propose a method that enables on-site technicians to perform step-wise migration from a legacy system to a target system without having to stop the whole system and without requiring advance preparation or support from a system engineer who is an expert in system design and development. Accordingly, we aimed to develop a technology for the coexistence of and cooperation between with target and legacy systems and cooperation test between heterogeneous systems. We implemented this method and evaluated its effectiveness by applying it for rebuilding a production line management system.
Analog Value Associative Memory Using Restricted Boltzmann Machine
Authors: Tsutsui Yuichiro ,   Department of Information and Computer Science, Keio University 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan, Hagiwara Masafumi
Published: January 2019

In this paper, we propose an analog value associative memory using Restricted Boltzmann Machine (AVAM). Research on treating knowledge is becoming more and more important such as in natural language processing and computer vision fields. Associative memory plays an important role to store knowledge. First, we obtain distributed representation of words with analog values using word2vec. Then the obtained distributed representation is learned in the proposed AVAM. In the evaluation experiments, we found simple but very important phenomenon in word2vec method: almost all of the values in the generated vectors are small values. By applying traditional normalization method for each word vector, the performance of the proposed AVAM is largely improved. Detailed experimental evaluations are carried out to show superior performance of the proposed AVAM.
Research on Key Technologies of Massive Videos Management Under the Background of Cloud Platform
Authors: Jin Lin ,   School of Economics, Yancheng Institute of Technology No.20 the Yellow Sea Middle Road, Yancheng City, Jiangsu 224001, China, Yan Changhong
Published: January 2019

With the rapid development of mobile internet and smart city, video surveillance is popular in areas such as transportation, schools, homes, and shopping malls. It is important subject to manage the massive videos quickly and accurately. This paper tries to use Hadoop cloud platform for massive video data storage, transcoding and retrieval. The key technologies of cloud computing and Hadoop are introduced firstly in the paper. Then, we analyze the functions of video management platform, such as user management, videos storage, videos transcoding, and videos retrieval. According to the basic functions and cloud computing, each module design process and figure are provided in the paper. The massive videos management system based on cloud platform will be better than the traditional videos management system in the aspects of storage capacity, transcoding performance and retrieval speed.
Data Equilibrium Method of Distributed Parallel Database Under High Load
Authors: Zhang Dingxiang ,   Guizhou University of Commerce No.2 Yanwu Street, Yunyan District, Guiyang, Guizhou 550014, China
Published: January 2019

The traditional method cannot make predictive judgment on the future load of the system, which leads to the convergence speed in the local updating process and cause the waste of resources. Aiming at this problem, a data equalization method based on ant colony optimization algorithm is proposed. During the calculation of server cluster integrated load, two kinds of load information input indicators and server indexes are mainly used. A formal description of the task scheduling problem under the high load of distributed parallel database is carried out and the mathematical model is established; the independent and different resource required virtual machine in the system are deployed in the server to balance the system, which has good global convergence, and can effectively control the system resource usage. Experiments showed that the proposed method avoids the unwanted migration caused by the instantaneous peak, which reduces the overhead of the system.
Impact of E-Commerce Website Usability on User Satisfaction
Authors: Shi Min , Yuan Hong ,   School of Information Management, Wuhan University Wuhan, Hubei 430072, China,   Guangxi Scientific and Technical Information Institute No.24 Xinghu RD., Qingxiu District, Nanning, Guangxi 530022, China,   School of Management, Nantong University No.9 Seyuan RD., Nangtong, Jiangsu 226019, China
Published: January 2019

This study explores the impact of the usability of E-commerce websites on user satisfaction and provides a reference for designing and assessing E-commerce websites, with the aim of improving websites usability for enterprises. This study proposes research hypotheses on the impact of the usability of E-commerce websites on user satisfaction based on Microsoft’s usability guidelines. In addition, the weighted scores and correlation analysis are used to test the hypotheses. One hundred and twenty three participants were selected for filling out questionnaires. Some countermeasures to improve E-commerce websites from the perspective of website usability are proposed in the end of this paper. The usability of web content, personalized services, and emotional states have the greatest impact on users’ satisfaction, which provides the relevant theoretical guides on usability construction of E-commerce websites.
The Framework of Passable Region Recognition Based on Vanish-Line
Authors: Cheng Xintian ,   Jinling Institute of Technology Room 522, No.99, Hongjing Road, Nanjing, Jiangsu, China
Published: January 2019

For the defect of the traditional vanishing point detection algorithm that is invalid in unstructured environment, a novel vanishing detection algorithm based on Dynamic Template Matching (DTM) is proposed. And a framework of access area recognition is put forward according to the vanishing point line. First, a series of lines are selected from the image in the form of the scanning at the same interval and then calculate the between each line and the previous one. The horizontal position of vanish point is that of the line with the minimum normalized correlation value in all scanning line. Second, a new image is constructed by getting rid of the part above of the viewpoint line, and be divided into several subimages without overlap to extract the multi features. The end, a train set is constructed based on the assumption of no deviation of the vehicle and the test set is classified by multi-kernel learning (MKL) method to obtain passable area. In addition, according to the need of intelligent vehicles during working, a weight-accuracy is delimited by assigning the different weights to the near areas and far areas. This kind of accuracy is more significative than the original one. In the experiments on various environments image sets, the proposed method exhibits favorable performances compared to the other methods.
SAR Image Denoising Algorithm Based on Bayes Wavelet Shrinkage and Fast Guided Filter
Authors: Yang Xiu Jie , Chen Ping ,   Computer College, Chongqing College of Electronic Engineering No.48 Middle Road, University Town, Shapingba District, Chongqing 401331, China,   Training and Continuing Education College, Chongqing College of Electronic Engineering No.48 Middle Road, University Town, Shapingba District, Chongqing 401331, China
Published: January 2019

To remove the speckle noise of synthetic aperture radar (SAR) images, a novel denoising algorithm based on Bayes wavelet shrinkage and a fast guided filter is proposed. According to the statistical properties of SAR images, the noise-free signal and speckle noise in the wavelet domain are modeled as Laplace and Fisher-Tippett distributions respectively. Then a new wavelet shrinkage algorithm is obtained by adopting the Bayes maximum a posteriori estimation. Speckle noise in the high-frequency domain of SAR images is shrunk by this new wavelet shrinkage algorithm. As the wavelet coefficients of the low-frequency domain also contain some speckle noise, speckle noise in the low-frequency domain can be further filtered by the fast guided filter. The result of the denoising experiments of simulated SAR images and real SAR images demonstrate that the proposed algorithm has the ability to better denoise and preserve edge information.
Simulated Analysis of Modeling of Driving Behavior Characteristics Based on Satellite Positioning Data
Authors: Xie Pei , Deng Lei ,   School of Automobile, Chang’an University Xi’an, Shaanxi 710000, China,   Guangdong Provincial Road Transportation Authority Guangzhou, Guangdong 510000, China
Published: January 2019

To promote the road transportation security, it’s necessary to study the modeling method of driving behavior characteristics. The traffic flow model realized by current modeling methods of driving behavior characteristics has a low accuracy in warning results. Therefore, based on satellite positioning data, a modeling method of driving behavior characteristics is proposed in this paper. Firstly, the dynamic model and kinetic model of traffic flow are built through the flow, speed and density parameters; then the response time, minimum safe distance and stability parameters of driving behavior are taken as the identification index of driving behavior to identify the driving behavior of drivers; according to the identification results, the psychological field theory and satellite positioning data are combined to build the model of driving behavior characteristics, and finally, warning the drivers according to their psychology and the actual situation of road. Experimental results demonstrate that the proposed method can accurately measure the traffic flow and speed, and the score of drivers’ behavior obtained has high accuracy, which verified again the high accuracy of traffic flow model and warning results of the proposed method.
Component Fusion Image Encryption Method Based on Hybrid Chaotic Model
Authors: Xiao Shuiqing ,   Business School, Lingnan Normal University Zhanjiang, Guangdong 524048, China, Wang Songbo , Ye Caihong , Gao Yuan
Published: January 2019

The current image encryption method is relatively simple, and there is the problem of poor image encryption effect. Based on the hybrid chaotic model, an image encryption method with component fusion is proposed in this paper. The image is mapped by using Arnold cat mapping method. Chaotic sequence is generated by chaotic model, and the original image is scrambled and substituted to achieve image encryption. Through the fixed point ratio, information entropy, gray mean change value, autocorrelation and similarity, the test of encrypted image is completed. Experimental results show that the proposed image encryption method has good performance, high security intensity, and can effectively encrypt the image.
Research on Communication Scheduling Algorithm for Smart Home in Internet of Things Under Cloud Computing
Authors: Zhang Jie ,   Sichuan Agricultural University Yaan, Sichuan 625014, China, Wang Mantao
Published: January 2019

The current communication scheduling algorithm for smart home cannot realize low latency in scheduling effect with unreasonable control of communication throughput and large energy consumption. In this paper, a communication scheduling algorithm for smart home in Internet of Things under cloud computing based on particle swarm is proposed. According to the fact that the transmission bandwidth of any data flow is limited by the bandwidth of network card of sending end and receiving end, the bandwidth limits of network card of smart home communication server are used to predict the maximum practicable bandwidth of data flow. Firstly, the initial value of communication scheduling objective function of smart home and particle swarm is set, and the objective function is taken as the fitness function of particle. Then the current optimal solution of objective function is calculated through predicted value and objective function, current position and flight speed of particle should be updated until the iteration conditions are met. Finally, the optimal solution is output, the communication scheduling of smart home is thus realized. Experiments show that this algorithm can realize low latency with small energy consumption, and the throughput is relatively reasonable.
Optimization of Intelligent Data Mining Technology in Big Data Environment
Authors: Wang Wei ,   Department of Information Engineering, Henan Industry and Trade Vocational College Zhengzhou, Henan 451191, China
Published: January 2019

At present, storage technology cannot save data completely. Therefore, in such a big data environment, data mining technology needs to be optimized for intelligent data. Firstly, in the face of massive intelligent data, the potential relationship between data items in the database is firstly described by association rules. The data items are measured by support degree and confidence level, and the data set with minimum support is found. At the same time, strong association rules are obtained according to the given confidence level of users. Secondly, in order to effectively improve the scanning speed of data items, an optimized association data mining technology based on hash technology and optimized transaction compression technology is proposed. A hash function is used to count the item set in the set of waiting options, and the count is less than its support, then the pruning is done, and then the object compression technique is used to delete the item and the transaction which is unrelated to the item set, so as to improve the processing efficiency of the association rules. Experiments show that the optimized data mining technology can significantly improve the efficiency of obtaining valuable intelligent data.
New Application of the Hybrid Localization Algorithm of TDOA and AOA
Authors: Luo Nanchao ,   School of Mathematics and Computer Science, Aba Teachers University Wenchuan, Sichuan 623002, China
Published: January 2019

The location algorithm based on arrival time difference has high complexity and high system power consumption. When using the traditional TDOA positioning algorithm to locate, we will encounter over-determined nonlinearity of positioning equation, and you need to use iterative method to solve it. Based on this, this paper proposed a hybrid positioning algorithm of TDOA and AOA. Combining the TDOA and AOA information, the problem of solving the iterative positioning equation was simplified successfully, which reduced the complexity of the algorithm and reduced the system power consumption. At the same time, in order to solve the problem of high system power consumption, this paper also proposed the use of Zigbee protocol instead of the traditional Wi-Fi protocol to develop the positioning system, thereby effectively reducing system power consumption, increasing system life and improving system applicability.
Development and Application of Sports Video Analysis Platform in Sports Training
Authors: Pu Shanshan ,   Northeast Normal University No.5268 Renmin Street, Changchun, Jilin 130024, China
Published: January 2019

The sports video analysis system in sports training can improve the ability of motion analysis and improve the training quality of sports training video playback. In view of the shortcomings of the current motion video analysis system, a new sports training video analysis system is proposed. The overall design of the video analysis system of the sports training system is analyzed, and the detailed design of the system is analyzed. Finally, the performance of the system is tested. The results show that the system can accurately analyze the video and image information of sports training. The accuracy of the key frame extraction is high and the recall rate is high. It can be used to guide the training of sports training.
Research on Multiband Packet Fusion Algorithm for Hyperspectral Remote Sensing Images
Authors: Zhao Cai ,   Xi’an Jiaotong University, City College Xi’an 710018, China
Published: January 2019

The data recorded by current algorithms contains more errors, which reduces the quality of hyperspectral remote sensing images and affects the fusion results. A fusion algorithm based on improved IHS transform is proposed. In order to avoid the noise and diffusion spread and the uniform distribution of gray level, the detail information is preserved and the image is geometric corrected, denoised and histogram equalized. Then the feature extraction, edge detection and feature matching are performed to the images. The weighted average fusion criterion is used to improve the fusion algorithm of IHS transform to improve the spectral distortion of fusion images. Through statistical and visual interpretation of evaluation results, the proposed fusion algorithm preserves the original spectral information and has good visual effects, which is more in line with human subjective evaluation criteria.
A Systems-Based Practice Curriculum in Orthopaedics
Authors: Hacken Brittney , Jarvis-Selinger Sandra S. , Armstrong April D. , Black Sarah , Pratt Daniel , Black Kevin P.
Published: January 2019

Background:

Teaching and assessment of the systems-based practice competency have been a challenge for many educators in graduate medical education. Previous research done at our institution demonstrated a marked inconsistency across institutions in educational content, methods of delivery, and performance assessment. As a result, we developed a 2-week health systems curriculum for orthopaedic surgery residents.

Methods:

A 2-week health systems rotation was developed during which postgraduate year (PGY)-1 residents were excused from their normal clinical duties. Residents followed patients as observers of the health-care system, challenged to view health care through the eyes of the patient and to identify what could be done individually and collectively to provide a better and safer experience. Additional learning experiences were designed on the basis of our literature review. At the end of the rotation, residents discussed and provided a written summary of their experiences and completed an anonymous evaluation. Using a Likert scale (1 to 10), residents were asked if the experience was educational and whether it was it additive to their undergraduate medical education for each of the 9 educational areas.

Results:

The mean responses for all 9 educational areas were 8.2 for whether the experience was educational and 8.3 for whether it was it additive to participants’ undergraduate medical education. Feedback from residents indicated that they found the course very helpful and that it inspired them to consider how they could “create overdue and necessary changes in our health-care system.”

Conclusions:

Our health systems rotation in PGY-1 has been a valuable learning experience for the residents and has created a foundation on which to build in subsequent years of residency.
Cost-Effectiveness of Operative Versus Nonoperative Treatment of Displaced Midshaft Clavicle Fractures
Authors: Liu Jane , Srivastava Karan , Washington Travis , Hoegler Joseph , Guthrie S. Trent , Hakeos William , Moutzouros Vasilios
Published: January 2019

Background:

While previous studies have shown higher union rates and a quicker return to work with operative treatment of substantially displaced clavicle fractures, there is disagreement whether operative treatment results in improved clinical outcomes. Patients who undergo operative treatment sometimes require additional surgery for implant removal. Nonoperative treatment may fail so that delayed surgical intervention is ultimately required. The duration for which the clinical benefits of operative treatment remain superior to those of nonoperative treatment has not been well established in the literature. Considering these uncertainties, surgeons are faced with a difficult decision regarding whether operative treatment of a midshaft clavicle fracture will be cost-effective. The purpose of this study was to identify the most cost-effective strategy by considering these uncertain parameters with use of decision-analysis techniques.

Methods:

An expected-value decision tree was built to estimate the quality-adjusted life years (QALYs) and costs for operative and nonoperative treatment of substantially displaced midshaft clavicle fractures. Values for parameters in the decision model were derived from the literature. Medical costs were obtained from the Medicare database. A Markov model was used to calculate the QALYs for the duration of life expectancy. The decision model was used to analyze the duration for which the clinical results of operative treatment were superior to those of nonoperative treatment during the first 5 years after the operation and during a lifetime. Sensitivity analysis was performed to determine which parameters have the most influence on cost-effectiveness.

Results:

Operative treatment was more cost-effective than nonoperative treatment in 54% and 68% of the Monte Carlo trials in the 5-year and lifetime analyses, respectively. The cost per QALY with operative management was <$38,000 and <$8,000 in the 5-year and lifetime analyses, respectively. This is below the willingness-to-pay threshold of $50,000 per QALY. For operative treatment to remain cost-effective, its clinical benefits must persist for at least 3 years.

Conclusions:

Operative treatment is more cost-effective than nonoperative treatment for substantially displaced midshaft clavicle fractures. The clinical benefits derived with operative treatment must persist for at least 3 years for operative treatment to remain cost-effective. This research should not be used to conclude that all clavicle fractures should be treated surgically. It is best that such a decision is made through a patient-surgeon shared decision-making process.

Level of Evidence:

Economic and Decision Analysis Level II. See Instructions for Authors for a complete description of levels of evidence.