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An Effective Feature Generation and Selection Approach for Lymph Disease Recognition

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Computer Modeling in Engineering & Sciences 2021年第11期129卷 567-594页

作者： Sunil Kr.Jha Zulfiqar Ahmad School of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044China Institute of Hydrobiology Chinese Academy of SciencesWuhan430072China

Health care data mining is noteworthy in disease diagnosis and recognition *** exist several potentials to further improve the performance of machine learning based-classification methods in healthcare data *** selection of a substantial subset of features is one of the feasible approaches to achieve improved recognition results of classification methods in disease diagnosis *** the present study,a novel combined approach of feature generation using latent semantic analysis(LSA)and selection using ranker search(RAS)has been proposed to improve the performance of classification methods in lymph disease diagnosis *** performance of the proposed combined approach(LSA-RAS)for feature generation and selection is validated using three function-based and two tree-based classification *** performance of the LSA-RAS selected features is compared with the original attributes and other subsets of attributes and features chosen by nine different attributes and features selection approaches in the analysis of a most widely used benchmark and open access lymph disease *** LSA-RAS selected features improve the recognition accuracy of the classification methods significantly in the diagnosis prediction of the lymph *** tree-based classification methods have better recognition accuracy than the function-based classification *** best performance(recognition accuracy of 93.91%)is achieved for the logistic model tree(LMT)classification method using the feature subset generated by the proposed combined approach(LSA-RAS).

关键词： Disease data mining feature selection classification lymph diagnosis

Quantitative analysis of the content of nitrogen and sulfur in coal based on laserinduced breakdown spectroscopy: effects of variable selection

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Plasma Science and Technology 2020年第7期22卷 36-43页

作者： Fan DENG Yu DING Yujuan CHEN Shaonong ZHU Feifan CHEN Jiangsu Key Laboratory of Big Data Analysis Technology Nanjing University of Information Science&TechnologyNanjing 210044People's Republic of China Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing 210044People's Republic of China Jiangsu Engineering Research Center on Meteorological Energy Using and Control Nanjing University of Information Science&TechnologyNanjing 210044People's Republic of China

Coal is a crucial fossil energy in today’s society,and the detection of sulfir(S) and nitrogen(N)in coal is essential for the evaluation of coal ***,an efficient method is needed to quantitatively analyze N and S content in coal,to achieve the purpose of clean utilization of *** study applied laser-induced breakdown spectroscopy(LIBS) to test coal quality,and combined two variable selection algorithms,competitive adaptive reweighted sampling(CARS) and the successive projections algorithm(SPA),to establish the corresponding partial least square(PLS) *** results of the experiment were as *** PLS modeled with the full spectrum of 27,620 variables has poor accuracy,the coefficient of determination of the test set(R^2 P) and root mean square error of the test set(RMSEP) of nitrogen were 0.5172 and 0.2263,respectively,and those of sulfur were0.5784 and 0.5811,*** CARS-PLS screened 37 and 25 variables respectively in the detection of N and S elements,but the prediction ability of the model did not improve ***-PLS finally screened 14 and 11 variables respectively through successive projections,and obtained the best prediction effect among the three *** R^2 P and RMSEP of nitrogen were0.9873 and 0.0208,respectively,and those of sulfur were 0.9451 and 0.2082,*** general,the predictive results of the two elements increased by about 90% for RMSEP and 60% for R2 P compared with *** results show that LIBS combined with SPA-PLS has good potential for detecting N and S content in coal,and is a very promising technology for industrial application.

关键词： variable selection LIBS coal CARS and SPA

A Combined Approach of Principal Component Analysis and Support Vector Machine for Early Development Phase Modeling of Ohrid Trout(Salmo Letnica)

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Computer Modeling in Engineering & Sciences 2021年第3期126卷 991-1009页

作者： Sunil Kr.Jha Ivan Uzunov Xiaorui Zhang School of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044China Faculty of Computer Science and Engineering University of Information Science and TechnologyOhrid6000Republic of Macedonia

Ohrid trout(Salamo letnica)is an endemic species of fish found in Lake Ohrid in the Former Yugoslav Republic of Macedonia(FYROM).The growth of Ohrid trout was examined in a controlled environment for a certain period,thereafter released into the lake to grow their natural *** external features of the fish were measured regularly during the cultivation period in the laboratory to monitor their *** data mining methods-based computational model can be used for fast,accurate,reliable,automatic,and improved growth monitoring procedures and classification of Ohrid *** this motivation,a combined approach of principal component analysis(PCA)and support vectormachine(SVM)has been implemented for the visual discrimination and quantitative classification of Ohrid trout of the experimental and natural breeding and their growth *** PCA results in better discrimination of breeding categories of Ohrid trout at different development phases while the maximum classification accuracy of 98.33% was achieved using the combination of PCA and *** classification performance of the combination of PCA and SVM has been compared to combinations of PCA and other classification methods(multilayer perceptron,naive Bayes,randomcommittee,decision stump,random forest,and random tree).Besides,the classification accuracy of multilayer perceptron using the original features has been studied.

关键词： Salamo letnica growth phase modeling PCA SVM

Robust dense reconstruction by range merging based on confidence estimation

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Science China(Information Sciences) 2016年第9期59卷 22-32页

作者： Yadang CHEN Chuanyan HAO Wen WU Enhua WU School of Computer and Software Nanjing University of Information Science and Technology Department of Computer and Information Science Faculty of Science and Technology University of Macau School of Education Science and Technology Nanjing University of Posts and Telecommunications State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences

Although the stereo matching problem has been extensively studied during the past decades, automatically computing a dense 3D reconstruction from several multiple views is still a difficult task owing to the problems of textureless regions, outliers, detail loss, and various other factors. In this paper, these difficult problems are handled effectively by a robust model that outputs an accurate and dense reconstruction as the final result from an input of multiple images captured by a normal camera. First, the positions of the camera and sparse 3D points are estimated by a structure-from-motion algorithm and we compute the range map with a confidence estimation for each image in our approach. Then all the range maps are integrated into a fine point cloud data set. In the final step we use a Poisson reconstruction algorithm to finish the reconstruction. The major contributions of the work lie in the following points: effective range-computation and confidence-estimation methods are proposed to handle the problems of textureless regions, outliers and detail loss. Then, the range maps are merged into the point cloud data in terms of a confidence-estimation. Finally, Poisson reconstruction algorithm completes the dense mesh. In addition, texture mapping is also implemented as a post-processing work for obtaining good visual effects. Experimental results are presented to demonstrate the effectiveness of the proposed approach.

关键词： stereo matching 3D reconstruction textureless regions outliers details loss range map

Rational design and synthesis of advanced metal-organic frameworks for electrocatalytic water splitting

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Science China Chemistry 2023年第4期66卷 943-965页

作者： Yu-Jia Tang Ya-Qian Lan School of Chemistry and Materials Science Institute of Advanced Materials and Flexible Electronics(IAMFE)Nanjing University of Information Science and TechnologyNanjing 210044China School of Chemistry South China Normal UniversityGuangzhou 510006China

As a promising and significant technology for hydrogen production,electrocatalytic water splitting is a research hotspot in the energy conversion field for alleviating the global energy crisis and achieving carbon neutrality ***-organic frameworks(MOFs)have been widely investigated as catalyst candidates with remarkable activity and long-term electrocatalysis durability owing to their precise and tailorable structures:tunable pore channels in the range of micropore/mesopore promote the mass/electron transfer;high specific surface areas expose abundant active species;modified metal nodes can serve as active sites;versatile organic ligands can be functionalized to further enhance the electrocatalytic *** this review,recent advances in the rational design and synthesis of advanced MOF electrocatalysts for water splitting are presented in the following ***,we analyze the design concepts of MOF electrocatalysts from the perspective of their distinct and modifiable ***,three common synthesis techniques of MOF electrocatalysts are briefly ***,we focus on the classification of different MOFs for robust electrocatalytic water splitting,including pristine MOFs,mixed-metallic MOFs,MOF nanosheets,electrically conductive MOFs,MOFs on substrates,and polyoxometalate-based ***,summary and outlook are proposed to uncover the next generation of advanced MOFs for electrochemical energy conversion applications.

关键词： metal-organic frameworks water splitting electrocatalysis hydrogen evolution reaction oxygen evolution reaction polyoxometalates

The rise and fall of photosynthesis:hormetic dose response in plants

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Journal of Forestry Research 2021年第2期32卷 889-898页

作者： Evgenios Agathokleous Key Laboratory of Agrometeorology of Jiangsu Province Institute of Applied EcologyNanjing University of Information Science and Technology(NUIST)NanjingChina

The recent recognition that low doses of herbicides,human and veterinary antibiotics,metallic elements,micro/nano-plastics,and various other types of environmental pollutants widely enhance chlorophylls in the framework of hormesis created the need to further evaluate the response of photosynthetic pigments and gas exchange to low doses of *** analysis of about 370 values of maximum stimulatory response(MAX;percentage of control response,%)of chlorophylls in higher plants,algae and duckweeds,and other photosynthesizing organisms,mined from published literatures,revealed a greater MAX for higher plants(median=139.2%)compared to algae and duckweeds(median=119.6%).However,an analysis of about 50 mined values of MAX of carotenoids revealed no signifi-cant difference in the median MAX between higher plants(median=133.0%)and algae-duckweeds(median=138.1%).About 70 mined values of MAX were also concentrated for photosynthetic rate(median MAX=129.2%)and stomatal conductance(median MAX=124.7%)in higher *** higher plants,there was no significant difference in the median MAX among chlorophylls,carotenoids,photosynthetic rate,and stomatal ***,there was no significant difference in the median MAX between chlorophylls and carotenoids of pooled algae and *** results suggest that the MAX is typically below 160%and as a rule below 200%of control response,and does not differ among chlorophylls,carotenoids,photosynthetic rate,and stomatal *** research programs with improved experimental designs,in terms of number and spacing of doses within the“low-dose zone”of the hormetic dose–response relationship,are needed to study the molecular/genetic mechanisms underpinning the low-dose stimulation of photosynthesis and its ecological implications.

关键词： Dose-response relationship Environmental stresses Hormesis Photosynthesis Low-dose stimulation

Mastering the scientific peer review process:tips for young authors from a young senior editor

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Journal of Forestry Research 2022年第1期33卷 1-20页

作者： Evgenios Agathokleous Department of Ecology School of Applied MeteorologyNanjing University of Information Science and Technology(NUIST)Nanjing 210044People’s Republic of China

Are you a student at a higher institution or an early-career researcher who is striving to understand and master the peer review process so to increase the odds of getting a paper published in the Journal of Forestry Research or another reputable,peer-reviewed,scientific journal?In this paper,a young,senior editor provides a handbook of the peer review process based on his decadal experience in scientific *** covers major information you need to know during the entire process,from selecting journals to completing the proofing of your accepted *** introduces key points for consideration,such as avoidance of predatory journals,dubious research practices and ethics,interaction with peers,reviewers,and editors,and the pursuit of aretê.Finally,he points out some common statistical errors and misconceptions,such as P hacking and incorrect effect size *** hopes that this paper will enhance your understanding and knowledge of the peer-review process.

关键词： Academic editor Article publishing Manuscript status Science communication Scientific writing

Salinity effect-induced ENSO amplitude modulation in association with the interdecadal Pacific Oscillation

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Journal of Oceanology and Limnology 2024年第4期42卷 1019-1036页

作者： Hai ZHI Xiaokun WANG Rong-Hua ZHANG Pengfei LIN Jifeng QI College of Atmospheric Sciences Nanjing University of Information Science and TechnologyNanjing 210044China School of Marine Sciences Nanjing University of Information Science and TechnologyNanjing 210044China Laoshan Laboratory Qingdao 266237China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric Physics(IAP)Chinese Academy of SciencesBeijing 100029China Key Laboratory of Ocean Circulation and Waves Institute of Oceanologyand Center for Ocean Mega-ScienceChinese Academy of SciencesQingdao 266071China

A 110-year ensemble simulation of an ocean general circulation model(OGCM)was analyzed to identify the modulation of salinity interdecadal variability on El Niño-Southern Oscillation(ENSO)amplitude in the tropical Pacific during *** simulating results show that sea surface salinity(SSS)variation in the region exhibits notable and coherent interdecadal variability signal,which is closely associated with the Interdecadal Pacific Oscillation(IPO).As salinity increases or reduces,the SSS modulations on ENSO amplitude during its warm/cold events vary asymmetrically with positive/negative IPO ***,salinity interdecadal variability can enhance or reduce ENSO-related conditions in upper-ocean stratification,contributing noticeably to ENSO *** anomalies associated with the mixed layer depth and barrier layer thickness can modulate ENSO amplitude during positive and negative IPO phases,resulting in the asymmetry of sea surface temperature(SST)anomaly in the tropical *** positive IPO phases,SSS interdecadal variability contributes positively to El Niño amplitude but negatively to La Niña amplitude by enhancing or reducing SSS interannual variability,and vice versa during negative IPO ***,the results indicate that the modulation of the ENSO amplitude by the SSS interdecadal variability is 15%-28%during negative IPO phases and 30%-20%during positive IPO phases,***,the SSS interdecadal variability associated with IPO and its modulation on ENSO amplitude in the tropical Pacific are among factors essentially contributing ENSO diversity.

关键词： El Niño-Southern Oscillation(ENSO)amplitude Interdecadal Pacific Oscillation(IPO) ocean salinity variability tropical Pacific upper-ocean stratification

An aqueous rechargeable zinc-ion battery on basis of an organic pigment

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Rare Metals 2022年第7期41卷 2230-2236页

作者： Feng Yu Yi Wang Yu Liu Hao-Yuan Hui Fa-Xing Wang Jing-Fa Li Quan Wang School of Chemistry and Materials Science Nanjing University of Information Science and TechnologyNanjing 210044China School of Chemical and Environmental Engineering Yancheng Teachers UniversityYancheng 224000China Department of Chemistry and Food Chemistry and Center for Advancing Electronics Dresden(Cfaed) Technische Universita¨t DresdenDresden 01062Germany School of Materials Engineering Changshu Institute of TechnologyChangshu 215500China

Neutral aqueous rechargeable zinc-ion batteries are receiving continuous attention because of their advantages of low cost,high safety,environmental friendliness,and high performance,which are difficult to attain with... 详细信息

关键词： battery electrolyte recharge