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Five important issues in the present field of knowledge discovery

Yang Bingru

Strategic Study of CAE 2009, Volume 11, Issue 4,   Pages 76-83

Abstract:

In this paper, the author summarized and proposed five important issuesin the present field of knowledge discovery and data mining, which comprise two important core issues, two conjectures, challenge issues in mainstream development, important issues of relevant fields inThose five issues correlate closely, and these researches will push the development of knowledge discovery

Keywords： important core issues in KD     conjectures in KD     challenge issues in KD     protein secondary structure prediction     technique standard in KD    

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Study into the knowledge in design science — Some important issues should be considered in mode transformation

Xie Youbai

Strategic Study of CAE 2013, Volume 15, Issue 4,   Pages 14-22

Abstract: force of the mode transformation of economic development,  the behaviors of knowledge should be importantissues to be studied in design science.

Keywords： design     design science     knowledge     knowledge acquirement     knowledge flow    

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Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 98-108 doi: 10.1631/FITEE.1400165

Abstract: a study to show the possibility of using two well-known space partitioning and indexing techniques, kd

Keywords： Kd tree     Quad tree     Space partitioning     Spatial indexing     Range queries     Query optimization    

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Engineering Management: Issues, Participants and Outputs

Ji-shan He

Frontiers of Engineering Management 2014, Volume 1, Issue 4,   Pages 329-329 doi: 10.15302/J-FEM-2014065

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Regulatory issues for genetically modified animals

Perry Bradbury HACKETT

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 2,   Pages 188-203 doi: 10.15302/J-FASE-2019307

Abstract:

Precision genetics and breeding have the potential to meet the agricultural needs and goals of the world in the 21st century. These needs include increasing the efficiency of production of animals and improving their products with minimal impact on the environment. The USA is the major innovator in genomic science and the acknowledged leader in formulating policies to regulate genetic applications in medicine and agriculture. However, governments worldwide have been exceedingly reluctant to support the introduction of genetically modified (GM) animals into agriculture. Regulatory policies have stagnated due to legal guidelines that could not anticipate the needs and solutions that are evident today. This must change if we are to maintain planetary integrity. I propose a new, market-based regulatory model for GM livestock that has both a strong scientific foundation and has worked for 10000 years. The model is similar to that for information technology in which specific algorithms drive computer and cell phone applications. Genome engineers write genetic algorithms that drive the traits in biological organisms. Accordingly, GM products should be viewed in terms of their use and public benefit rather than by limitations to the genetic programing coming from a few highly vocal groups. Genetic algorithms (Genapps) of the 21st century will include not only introduction of synthetic genes, but also complete natural and synthetic biochemical pathways to produce agricultural products that are maximally efficient, healthy to humans and animals, and sustainable in an era of changing climates while avoiding environmental degradation.

Keywords： algorithms     editing     FDA     GMO     recombinant DNA     USDA    

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Postprocessor development for ultrasonic cutting of honeycomb core curved surface with a straight blade

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0729-8

Abstract: When ultrasonically cutting honeycomb core curved parts, the tool face of the straight blade must berotation algorithm were integrated and compiled, and the straight blade ultrasonic cutting honeycomb coreVERICUT simulation software, and the simulation machining of the equivalent entity of the honeycomb coreTherefore, the postprocessor developed in this paper can be well adapted to the honeycomb core ultrasoniccutting machine tool and realize high-quality and high-efficient machining of honeycomb core composites

Keywords： honeycomb core     straight blade     ultrasonic cutting     tool pose     postprocessor    

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Discussion of solutions to ethical issues in real-world study

Sicheng Wang,Baoyan Liu,Ningning Xiong,Qi Xie,Runshun Zhang,Xuezhong Zhou,Jie Qiao

Frontiers of Medicine 2014, Volume 8, Issue 3,   Pages 316-320 doi: 10.1007/s11684-014-0354-y

Abstract: In this paper, basic features and nature of real-world clinical studies are discussed, and ethical issuesMoreover, some preliminary solutions to these issues, such as protecting subjects during the process

Keywords： real-world study     ethics     strategy    

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Elements’ important ranking of China drug safety management system: applying the non-structural

Xiaoping ZHENG, Xiaocui WANG, Tingkuan ZHONG,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 3,   Pages 290-299 doi: 10.1007/s11705-009-0283-5

Abstract: Drug safety management is an important issue in China drug management system and attracts great attentionsIn order to reduce drug incident, this study discusses some important elements associated with ChinaBesides, a methodology for rating the important elements is described and applied.The results indicate that the sample systems are the most important in these important elements, andThis study not only points out the important ranking of the pivotal elements in China drug safety management

Keywords： management system     different     management     important ranking     non-structural fuzzy    

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Presentation of machine learning methods to determine the most important factors affecting road traffic

Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 657-666 doi: 10.1007/s11709-022-0827-z

Abstract: The purpose of this research was to develop statistical and intelligent models for predicting the severity of road traffic accidents (RTAs) on rural roads. Multiple Logistic Regression (MLR) was used to predict the likelihood of RTAs. For more accurate prediction, Multi-Layer Perceptron (MLP) and Radius Basis Function (RBF) neural networks were applied. Results indicated that in MLR, the model obtained from the backward method with the correct percent of 84.7% and R2 value of 0.893 was the best method for predicting the likelihood of RTAs. Also, MLR showed that the variables of not paying attention to the front not paying attention to the frontroad ahead, followed byand then vehicle-motorcycle/bike accidents were the greatest problems. Among the models, MLP had a better performance, so that the prediction accuracy of MLR, MLP, and RBF were 84.7%, 96.7%, and 92.1%, respectively. MLP model, due to higher accuracy, showed that the variable of reason of accident had the highest effect on the prediction of accidents, and considering MLR results, the variables of not paying attention to the front and then vehicle-motorcycle/bike accidents had the most influence on the occurrence of accidents. Therefore, motorcyclists and cyclists are more prone to accidents, and appropriate solutions should be adopted to enhance their safety.

Keywords： safety     rural accidents     multiple logistic regression     artificial neural networks    

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Recent advances in gold-metal oxide core-shell nanoparticles: Synthesis, characterization, and their

Michelle Lukosi,Huiyuan Zhu,Sheng Dai

Frontiers of Chemical Science and Engineering 2016, Volume 10, Issue 1,   Pages 39-56 doi: 10.1007/s11705-015-1551-1

Abstract: Heterogeneous catalysis with core-shell structures has been a large area of focus for many years.This paper reviews the most recent work and research in core-shell catalysts utilizing noble metals,specifically gold, as the core within a metal oxide shell.The advantage of the core-shell structure lies in its capacity to retain catalytic activity under thermaland thereby the interfacial synergy and lattice mismatch between the core and shell.

Keywords： core-shell     characterization     core-shell structure     Different     stability    

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Establishment and verification of a shrinking core model for dilute acid hydrolysis of lignocellulose

Cunwen WANG, Xiaoling DUAN, Weiguo WANG, Zihao LI, Yuanhang QIN

Frontiers in Energy 2012, Volume 6, Issue 4,   Pages 413-419 doi: 10.1007/s11708-012-0212-z

Abstract: hydrolysis process of five kinds of crop straw (rice, wheat, cotton, rape and corn), the shrinking core

Keywords： lignocellulose     dilute acid hydrolysis     shrinking core model    

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Several issues to be considered for long-term better behavior of concrete gravity dams

Jinsheng JIA,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 1,   Pages 40-46 doi: 10.1007/s11709-010-0006-5

Abstract: Along with economic, social quick development and urbanization, dams and reservoirs are of strategic importance for flood control, water supply, electricity production, irrigation, etc., both for developed countries and for developing countries. Climate change is a new challenging issue to be considered which will speed up the development of hydropower in developing countries. More and more attention will be paid on the long-term better behavior of dams to guarantee the safety of the people involved and the better development of the world. There are about 50000 old dams in the world and a lot of them have been completed and operated for more than 50 years. However, how do we evaluate the dams’ safety? How do we make the decision to do rehabilitation work or to rebuild a new dam based on evaluation results? The life span and the real safety status of old dams becomes a challenging task for the dam society, especially for China because it has more than 6000 dams to be evaluated and rehabilitated within the next few years. Based on the investigation of the Fengman gravity dam, which is 91.7 m high, operated since 1943 and suffered uplift pressure, freeze and thaw problems, etc., discussions on the life span evaluation of old concrete gravity dams have been made. The reasonable coefficient of dam safety has been discussed. The social decision for the final choice after comprehensive studies has been introduced.

Keywords： dam safety     economic life span     structural life span     environmental life span     rehabilitation     social decision    

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Genomic regions under selection for important traits in domestic horse breeds

Xuexue LIU, Yuehui MA, Lin JIANG

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3,   Pages 289-294 doi: 10.15302/J-FASE-2017155

Abstract: studies and genome wide analyses to identify the genomic regions targeted by positive selection for four important

Keywords： horse     coat color     racing performance     gait     height    

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Recent advances in understanding genetic variants associated with economically important traits in sheep

Song-Song XU, Meng-Hua LI

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3,   Pages 279-288 doi: 10.15302/J-FASE-2017151

Abstract: Sheep are one of the most economically important domesticated animals for human society.Additionally, comprehensive information on functional genes and genetic variants associated with economically important

Keywords： sheep     high-throughput screening     productive traits     genome-wide studies    

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Data-Driven Modeling of Maritime Transportation: Key Issues, Challenges, and Solutions

Dan Zhuge,Shuaian Wang,Lu Zhen,Harilaos N. Psaraftis,

Engineering doi: 10.1016/j.eng.2022.12.009

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Title Author Date Type Operation

Five important issues in the present field of knowledge discovery

Yang Bingru

Journal Article

Study into the knowledge in design science — Some important issues should be considered in mode transformation

Xie Youbai

Journal Article

Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

Journal Article

Engineering Management: Issues, Participants and Outputs

Ji-shan He

Journal Article

Regulatory issues for genetically modified animals

Perry Bradbury HACKETT

Journal Article

Postprocessor development for ultrasonic cutting of honeycomb core curved surface with a straight blade

Journal Article

Discussion of solutions to ethical issues in real-world study

Sicheng Wang,Baoyan Liu,Ningning Xiong,Qi Xie,Runshun Zhang,Xuezhong Zhou,Jie Qiao

Journal Article

Elements’ important ranking of China drug safety management system: applying the non-structural

Xiaoping ZHENG, Xiaocui WANG, Tingkuan ZHONG,

Journal Article

Presentation of machine learning methods to determine the most important factors affecting road traffic

Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI

Journal Article

Recent advances in gold-metal oxide core-shell nanoparticles: Synthesis, characterization, and their

Michelle Lukosi,Huiyuan Zhu,Sheng Dai

Journal Article

Establishment and verification of a shrinking core model for dilute acid hydrolysis of lignocellulose

Cunwen WANG, Xiaoling DUAN, Weiguo WANG, Zihao LI, Yuanhang QIN

Journal Article

Several issues to be considered for long-term better behavior of concrete gravity dams

Jinsheng JIA,

Journal Article

Genomic regions under selection for important traits in domestic horse breeds

Xuexue LIU, Yuehui MA, Lin JIANG

Journal Article

Recent advances in understanding genetic variants associated with economically important traits in sheep

Song-Song XU, Meng-Hua LI

Journal Article

Data-Driven Modeling of Maritime Transportation: Key Issues, Challenges, and Solutions

Dan Zhuge,Shuaian Wang,Lu Zhen,Harilaos N. Psaraftis,

Journal Article