bluuebunny/crossref_metadata_2025_split huggingface dataset:
MUC1 gene silencing inhibits proliferation, invasion, and migration while promoting apoptosis of oral squamous cell carcinoma cells
Authors: Zhang Ai-Min , Chi Xiao-Hui , Bo Zu-Qiang , Huang Xiao-Fang , Zhang Jin 
Published: August 2019

Abstract
The aim of the present study is to investigate the role of RNA interference in the inhibition of MUC1 gene expression in occurrence and metastasis of oral squamous cell carcinoma (OSCC) and its in-depth mechanisms. The OSCC and normal oral mucosa tissues, as well as normal oral epithelial cell line HOK and OSCC cell line SCC-4, Cal-27, TSCCA, Tca8113 were obtained to detect the expression of MUC1. Slug expression in OSCC and normal oral mucosa tissues was also determined. The OSCC cells were grouped to investigate the role of MUC1 gene silencing on proliferation, DNA replication, cell cycle distribution, apoptosis, colony formation ability, epithelial-mesenchymal transition (EMT), invasion, and migration of OSCC cells. We first found higher positive rate of MUC1 and Slug expression in OSCC tissues. Next, it was determined that higher expression of MUC1 was found in OSCC tissues and cells. Furthermore, silencing of MUC1 declined Slug expression, inhibited the proliferation, DNA replication, cell cycle progression, and EMT while inducing apoptosis of OSCC cells. Our study suggests that overexpression of MUC1 is found in OSCC, and MUC1 gene silencing could inhibit the proliferation, invasion, and migration while inducing apoptosis of OSCC cells.
Eiskalt erwischt
Authors: Brenke Rainer 
Published: August 2019

SummaryNach den Wegbereitern Hahn und Prießnitz verhalf Sebastian Kneipp der Hydrotherapie zum Durchbruch und entwickelte bis heute gültige Indikationen und Verfahren. Zu den gebräuchlichsten Wasseranwendungen zählen (Teil-)Bäder, Güsse und Auflagen, aber auch Sauna, Dampfbad und Eisbehandlungen, wobei Kälte – häufig auch im Wechsel mit Wärme – den wirksamsten Reiz liefert. Zu den häufigsten und aussichtsreichsten Behandlungsfeldern zählen Frösteln, chronische Müdigkeit, Infektanfälligkeit, Atemwegsinfekte, Fieber, kardiovaskuläre Störungen und Gelenkerkrankungen.
Da geht noch MEER
Authors: Breyer Ingrid M. 
Published: August 2019

SummaryDie Thalassotherapie unterstützt alle Körpersysteme mit den Elementen des Meeres, zum Beispiel durch erwärmtes Meerwasser und das Seeklima. Zu den Indikationen gehören unter anderem Stress-, Atemwegs- und rheumatische Erkrankungen.
Dreimal Wasserdost
Authors: von Löwensprung Natalie Rosenhauer 
Published: August 2019

SummaryEupatorium cannabinum, E. purpureum und E. perfoliatum: Die drei Wasserdost-Arten sind in der Homöopathie bei fieberhaften Infekten angezeigt. In der Phytotherapie verwendet man hingegen nur E. perfoliatum.
Von Diurese bis Entzündungshemmung
Authors: Stern Cornelia 
Published: August 2019

SummaryDie Gemmotherapie nutzt das junge, teilungsaktive Pflanzengewebe der Knospen und verfügt damit über wertvolle Inhaltsstoffe, die in fertig ausgebildeten Pflanzenteilen nicht vorkommen. Zu den wichtigsten Nierenmitteln der Gemmotherapie zählen Birke, Esche, Pappel, Wacholder und Preiselbeere, die insbesondere als Diuretika und Antiphlogistika wirken. Knospenpräparate haben sich insbesondere bei akuten oder rezidivierenden Blasenentzündungen sowie begleitend bei Nierenstörungen und Gicht bewährt.
A tomografia computadorizada melhora a reprodutibilidade na classificação das fraturas transtrocanterianas?
Authors: Alexandre Murilo , Polesello Giancarlo Cavalli , Cavassani Neto Edio , Rabelo Nayra Deise dos Anjos , Queiroz Marcelo Cavalheiro de , Ricioli Junior Walter 
Published: August 2019

ResumoCom o envelhecimento populacional, houve um aumento significante da prevalência das fraturas do quadril, com alto índice de mortalidade, de sequelas, e alto custo. Compreender o perfil da fratura e classificá-la de forma correta é fundamental para definir o tratamento adequado. Diversas classificações radiográficas foram desenvolvidas para as fraturas transtrocanterianas, tais como as de Tronzo, de Evans-Jensen, de Boyd-Griffin e AO, porém sua reprodutibilidade nem sempr é satisfatória. O presente trabalho objetivou analisar se o acréscimo da tomografia computadorizada (TC)implica em maior reprodutibilidade do que a radiografia simples na classificação das fraturas transtrocanterianas e se esta é melhor para a identificação do traço de fratura. Foi realizada uma pesquisa nas bases de dados PubMed, Lilacs, Scielo e Cochrane entre julho de 2016 e junho de 2017, limitada aos últimos 15 anos. Todos os trabalhos retrospectivos, prospectivos e revisões sistemáticas publicados na língua inglesa, com avaliação de homens e/ou de mulheres, foram considerados para a revisão. Foram excluídos relatos de casos, estudos que avaliaram de forma isolada a TC ou radiografias e estudos duplicados. A pesquisa apresentou 112 artigos, dos quais 5 preencheram os critérios propostos. A reprodutibilidade para a classificação das fraturas transtrocanterianas apresentou resultados variáveis e influenciados por fatores como o tipo de classificação, o uso da classificação simplificada ou completa, a especialidade do avaliador, a experiência e a metodologia proposta pelos trabalhos. Há indícios de que há algum benefício para o uso da TC, sobretudo para fraturas consideradas instáveis, porém sua utilização como ferramenta para garantir uma melhor reprodutibilidade (intra- e interobservador) ainda permanece controversa e carece de mais estudos.
Molecular evolution of the switch for progesterone and spironolactone from mineralocorticoid receptor agonist to antagonist
Authors: Fuller Peter J. , Yao Yi-Zhou , Jin Ruitao , He Sitong , Martín-Fernández Beatriz , Young Morag J. , Smith Brian J. 
Published: August 2019

Significance
The mineralocorticoid receptor (MR), the receptor for aldosterone, appears in evolution well before the appearance of terrestrial vertebrates, yet aldosterone emerges in vertebrates only with terrestrial life. Curiously, in fish, the MR sees progesterone and spironolactone as agonists, whereas in terrestrial species, they are antagonist at the MR. We have identified a unique single amino acid difference between the fish MR and the other vertebrate MR that mediates this switch, agonist to antagonist. This striking evolutionary event was perhaps mandatory if the appearance of aldosterone as a specific mediator of the homeostatic salt retention required for terrestrial life was to be tolerated. The conformational changes also provide insights into the structural basis of agonism versus antagonism in steroid receptors.
Locality Kernel Canonical Variate Analysis for Fault Detection
Authors: Xiao Shujun 
Published: August 2019

Abstract
Most of the existing fault detection techniques merely consider the global structure information, but neglect the local structure details between different data points. However, local structure information plays an essential role in data mining and feature extraction. In this article, a locality kernel canonical variate analysis (LPP-KCVA) method for fault detection is proposed. This method inherits the merits of KCVA in coping with nonlinear as well as dynamic problems, and makes full use of the advantage of Locality Preserving Projections (LPP) in retaining local manifold structure. To demonstrate the accuracy of the LPP-KCVA approach, Tennessee Eastman process (TEP) is applied, and KCVA, KPCA methods serve as the reference. The outcome illustrates its power in fault detection.
Study on Reliability Calculation of Repairable System Based on Monte-Carlo Simulation
Authors: Chaowei Wang , Xun Hao , Qian Wu , Yutao Qie , Yuanyuan Fang 
Published: August 2019

AbstractNowadays, the complexity of engineering system grows with the higher requirement of quality. Reliability, one of the most important quality characteristics, has been drawn a lot of attention. The level of reliability decides whether the system can accomplish mission successfully or not, as well as the safety of system and operator. The reliability calculation (prediction) is the most important item in design phrase, as an approach to measure the reliability. There is much study which focuses on the unrepairable system, such as aircraft and satellite. The study presents a reliability calculation method for repairable system based on monte-carlo simulation. The inputs of reliability calculation, which are different from unrepairable system, are analysed firstly. Then, the simulation principles are introduced aiming at various reliability models. The effectiveness is verified through a case of vessel in the end, which shows the simulation calculation of repairable system is valid. It can make a contribution to the improvement of system reliability in design phrase and aid the developer to locate the weakness parts.
Scheduling Complexity of an Automated Cell Manufacturing Process
Authors: Kaowtain Jinjuta , Ku Hong-ming , Pasuwat Kwanchanok 
Published: August 2019

Abstract
Osteoarthritis is currently the most prevalent chronic joint disease and is expected to increase continually due to aging population and obesity epidemic. Many methods exist to treat this disease but the most promising one is cell-based therapy which uses chondrocyte cells. Chondrocyte cells are cultivated in an automated cell manufacturing system (ACMS). However, ACMS suffers from long idle time caused by incubation times required to cultivate cells in different samples in different incubators. But before optimization can be used to find an optimal schedule, the complexity of the ACMS scheduling problem is established. Parallel operation of the ACMS was able to process a maximum of 26 samples in a year, while sequential operation yielded only 14. Moreover, if we produce more sample in a year the number of different schedules will increase. Then, the problem has more complicated.
Research on Overall Evaluation Model for Traffic Transportation Efficiency of Equipment based on Rough Set Theory
Authors: Qian Wu , Chaowei Wang , Xiaowei Lu , Yingcheng Xu 
Published: August 2019

Abstract
On the basis of overall consideration on influence factors of traffic transportation efficiency of equipment, based on Completeness, Maneuverability, Rationality and Comparability, this paper proposes a safe, cost-effective, universal and timely evaluation index system for traffic transportation efficiency of equipment, puts forward a quantitative calculating approach for the weight of evaluation index system for traffic transportation efficiency of equipment and creates an overall evaluation model for traffic transportation efficiency of equipment based on rough set theory. The evaluation index system and evaluation model for traffic transportation efficiency of equipment proposed in this paper are quantitative calculation approaches to improve and evaluate traffic transportation efficiency of equipment, which paves the way for further research on traffic transportation efficiency of equipment.
An Entity Linking Method Based on Entity Category and Word Embedding
Authors: Ma HaiBo , Li Yue , Li Yang 
Published: August 2019

Abstract
Named entity linking is a process of linking a given reference in a document to a knowledge base. In natural language processing, entity linking can enhance the computer’s understanding of unstructured text data. Applying traditional entity linking methods, especially entity linking methods for person names and organization names, has its limitations. Similar vocabulary as an entity to be linked is difficult to make full use of its contextual semantic information for ambiguity elimination. This paper makes full use of the entity’s category attribute and the semantic information contained in the context to design an entity linking method based on entity category and semantic word embedding. First, Training text classification model based on corpus to obtain entity attributes. Then the semantic feature is extracted by the word vector template to perform entity disambiguation through the semantic classification model. Finally, the results of the entity linking are predicted by means of model ensemble. Experiments show that the accuracy of the method after fusion on the entity linking dataset has improved.
Sensor Based Affective Learning Information Process System for Intelligent Tutoring System
Authors: Sik Chung Kwang 
Published: August 2019

Abstract
As smartphones like televisions or cars are used every day and everybody, smartphones are used to access to digital content and various ICT services. Especially, smartphone is equipped with many types of sensors so that various multimedia content can use smartphone sensors. If users’ information through sensors would be analysed, users’ movement, emotion, and states can be inferred. Especially, on e-learning environment, students’ learning states can be decided by students’ information that are collected by smartphone sensors, since more than 90% of students of Korea National Open University have access to learning contents through their smartphones in mobile learning environment. However, previous researches focused on interactions between students and learning contents. And there are few methods, technology, and decision models for students to track their learning activity, learning interests, concentration and emotions. In this paper, we propose a learning reaction analysis state model and Student Activity Analysis System. In this research, sensed learning activity information is collected by sensors of smartphone. Students’ learning activity information can be classified into mandatory and optional information. In Student Activity Analysis System, students’ learning emotional state is decided by learning reaction analysis state model. The students’ learning emotional state could be used for intelligent tutoring system (ITS) that construct personal learning strategy. Since students’ learning activity information is collected and analyzed from the information technology viewpoint, it is possible to measure the concentration and interest of learning contents of students regardless of pedagogical model.
Construction and Application of MOOC Resources Database for Software Engineering Major Based on Integrable Ware
Authors: Yu Jiujiu , Zhang Jishan , Pan Liqiong , Wu Ning , Liang Yuefang 
Published: August 2019

Abstract
In recent years, the construction of MOOC (Massive Open Online Course) resources database has been paid more attention on MOOC research field. Based on the idea of integrable ware, MOOC elements are designed to form the corresponding MOOC learning knowledge points for some courses of software engineering major in a local university. They have the characteristics of openness, flexible and reusable. MOOC elements are fully applied in construction of the MOOC resources database on local campus for personalized learning effectively. The results show that teachers can select several different MOOC elements to form an important knowledge point for MOOC teaching process according to an actual course and reuse some existed MOOC elements to form another MOOC knowledge point for other courses. Different MOOC elements can be combined freely to form the related learning knowledge points for one course of software engineering major to stimulate and improve students’ interests in personalized learning. Finally, further work is put forward. Firstly, compatible supported conditions on software and hardware are to be created based on big data. Secondly, capacities on integrating and reusing of various types of MOOC resources by teachers should be improved. Thirdly, more reusable MOOC elements based on integrable ware for the courses of other majors should be designed and constructed for personalized learning.
Design and Implementation Method for Supporting Complex CAE Software System Module Development
Authors: Wang Xiaohui , Nie Xiaohua , Chang Liang , Duan Shihui 
Published: August 2019

Abstract
The use of customizable or combined modular software products to meet the growing personalization needs of users has become one of the major development directions of the software market in the future. Based on the modular design idea, a highly open CAE software architecture for HAJIF software system is proposed, and a special modular design method is clarified. According to the analysis process of aircraft structural strength, a spatial surface interpolation method based on RBF is proposed for the problem of distributed load transfer to finite element load on space curved structure. The problem is solved well and modularized. The modular design of CAE software is clear, and it can design the CAE system comprehensively, improve the development environment, shorten the development cycle, and have important significance for accelerating CAE software customization.
PHASE: An Environment for Parallel High-performance Agent-based Simulating
Authors: Guo Jiamin , Li Bo , Zhao Yingliang , Yu Yuan , Chen Zuolin 
Published: August 2019

Abstract
Agent-based simulation models have become an increasingly popular research and management tool in many different fields. However, most of the platforms are foreign, and there is no relevant public parallel simulation platform available in China. So it is necessary to construct a public high-performance parallel computing platform for Agent-based Simulation. This paper uses X10 language to design a highly scalable Agent-based simulation platform by using an asynchronous partitioned global address space model, and describes the construction principle and implementation process of the simulation platform from four core modules, the data organization and partitioning mechanism, Agent communication mechanism, simulation promotion mechanism and data collection mechanism. And we verified the correctness and feasibility of the simulation platform by running the classic GameOfLife model. Our work fills the gap that there is no public high-performance parallel simulation platform in China and contributes to the future research work.
Large-scale Agent Data Partitioning Based on DensityRepel-K_medoids
Authors: Wu Lingjuan , Liang Jie , Li Bo 
Published: August 2019

Abstract
Large-scale Agent data partitioning is the premise of parallel distributed computing in the process of ABMS (Agent-based Modeling and Simulation) . Based on the distance-based K_medoids clustering algorithm, this paper proposes an improved K_medoids algorithm (DensityRepel-K_medoids), which is implemented by high-performance programming language X10 and applied to large-scale Agent data partitioning simulation based on distance interaction. The DensityRepel-Kmedoids algorithm first determines the density value and the repulsion value of each Agent data in the Agent data set, and secondly pre-selects the cluster center according to the density value and the repulsion value of each Agent data, and finally uses the pre-selected cluster centers as the initial cluster centers for continuous iterative clustering until convergence. The algorithm avoids the defects of K_means clustering algorithm sensitive to outliers, and avoids the shortcomings of K_medoids clustering algorithm for large-scale data processing. By comparing and analyzing the simulation experiments of Agent data sets of different scales, the algorithm presents a better performance.
Stochastic Analysis of Downlink Heterogeneous Cellular Networks: Based on Spatial Hybrid Model
Authors: Ziyu Pan , Jie Yang , Nan Guo 
Published: August 2019

Abstract
In this paper, a hybrid model for heterogeneous cellular networks (HCNs) is proposed based on the differences in the distribution characteristics, path loss models and transmit power of macro and micro base stations (BSs). The macro base stations in HCNs are modelled as 2-D PPP which obeys certain parameters, and the small base stations are modelled as 3-D PPP. According to the stochastic geometry theory and the relevant knowledge of probability theory, the interference characteristics in HCNs are analysed, and the downlink coverage probability of the target users in the network are derived. Compared the hybrid interference model proposed in this paper with the traditional model, simulation shows that the hybrid interference model can illustrate the distribution characteristics of each kind of base station in HCNs more accurately, and the network performance based on model proposed in this paper is more accurate.
Virtual Void-Based Marine Organism Protection Routing Protocol for Underwater WSNs
Authors: Su Hao , Qian Yujie , Zhang Yuan 
Published: August 2019

Abstract
With the progress and development of the Internet of Underwater Things, underwater wireless sensor networks (UWSNs) have been showed as a promising technology to monitor and explore the oceans. Different from terrestrial WSNs, UWSNs adopts acoustic signals instead of radio frequencies for wireless communication. However, marine mammals’ frequencies are heavily overlapped with the frequencies used by UWSNs, where the noise of underwater acoustic networks (UAN) made by human may interfere with or even harm marine organism. In order to protect these marine organism, it is very necessary and urgent to develop an environment-friendly UAN and cognitive acoustic (CA) is considered as a promising technique. Based on this, aiming at not only protecting marine mammals, but also attaining optimal network performance, in this paper, we propose a virtual void-based marine organism protection routing (VMOPR) protocol for UWSNs, which is a location-based flow transmission scheme. Simulation results show that the performance of the scheme is better than the corresponding EEIAR and VBF protocol in terms of packet delivery ratio, throughput and energy efficiency when taking marine mammals into account.
Scale Adaptive Target Tracking Algorithm Based on Correlation Filtering
Authors: Lin Fajun , Wei Haiping , Qi Yuanchen , Li Qinqin 
Published: August 2019

Abstract
Focusing on the issue that the kernel correlation filter tracking method can not accurately adapt to the target scale change, a scale estimation method is added under the kernel correlation filter tracking frame, and a scale adaptive target tracking algorithm is proposed. The algorithm firstly uses the kernel function to obtain the kernel correlation filter, and estimates the position of the target for the candidate sample detection; then uses the scale estimation method to detect the target scale to further determine the optimal scale of the target to be tracked in the current frame; Finally, according to the occlusion judgment mechanism, the parameters of the target performance model and the scale model are updated online. The experimental results show that compared with kernel correlation filtering algorithm, the proposed algorithm can accurately target tracking process to adapt to changes in the target scale, and the center position error reduced by an average of 4.39 pixels.
Multi-focus Image Fusion Method based on Wavelet Transform
Authors: Tan Linglong , Chen Yehui , Zhang Wenju 
Published: August 2019

Abstract
In this paper, the wavelet decomposition of multi-focus images is used to fuse the low-frequency components and high-frequency components obtained after decomposition. In order to make more information of the original image in the merged image, the method of maximizing the coefficient and the method of maximizing the variance of the region mean when the high frequency coefficient is selected, and combining the average and the selection in the selection of the low frequency coefficient. The simulation experiment results and the objective evaluation index values show that the modification method can make up for the defects of the two original images and obtain a relatively complete and clear image.