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Chinese Chemical Letters 2024年第9期35卷 135-139页

作者： Wenyu Gao Liming Zhang Chuang Zhao Lixiang Liu Xingran Yang Jinbo Zhao faulty of chemistry and life science Changchun University of TechnologyChangchun 130012China

We describe a versatile electrophile addition/SPR sequence of readily available cyclopropyl carbinols that affords multi-substituted carbonylated cyclopropanes with high *** approach tolerates various heteroatom electrophiles,migration of carbon moiety of all possible hybridization states,facile ring reorganization and natural compound *** examples represent an unprecedented version of SPR wherein migration to a non-benzylic bulky tertiary carbo-cation is realized with promising enantiocontrol.

关键词： Cyclopropeneα-carbinols Electrophile addition Semi-Pinacol rearrangement Cyclopropane

Combining machine and deep transfer learning for mediastinal lymph node evaluation in patients with lung cancer

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虚拟现实与智能硬件（中英文） 2024年第3期6卷 226-238页

作者： Hui XIE Jianfang ZHANG Lijuan DING Tao TAN Qing LI Department of Radiation Oncology Affiliated Hospital(Clinical College)of Xiangnan UniversityChenzhou 423000China faulty of Applied sciences Macao Polytechnic UniversityMacao 999078China Department of Physical examination Beihu Centers for Disease Control and PreventionChenzhou 423000China Department of Radiation Oncology the Third People's Hospital of Chenzhou CityChenzhou 423000China School of Medical Imaging Laboratory Science and RehabilitationXiangnan UniversityChenzhou 423000China

Background The prognosis and survival of patients with lung cancer are likely to deteriorate with *** deep-learning in the detection of lymph node metastasis can facilitate the noninvasive calculation of the likelihood of such metastasis,thereby providing clinicians with crucial information to enhance diagnostic precision and ultimately improve patient survival and *** In total,623 eligible patients were recruited from two medical *** deep learning models,namely Alex,GoogLeNet,Resnet18,Resnet101,Vgg16,Vgg19,and MobileNetv3(small),were utilized to extract deep image histological *** dimensionality of the extracted features was then reduced using the Spearman correlation coefficient(r≥0.9)and Least Absolute Shrinkage and Selection *** machine learning methods,namely Support Vector Machine,K-nearest neighbor,Random Forest,Extra Trees,XGBoost,LightGBM,Naive Bayes,AdaBoost,Gradient Boosting Decision Tree,Linear Regression,and Multilayer Perceptron,were employed to construct classification prediction models for the filtered final *** diagnostic performances of the models were assessed using various metrics,including accuracy,area under the receiver operating characteristic curve,sensitivity,specificity,positive predictive value,and negative predictive *** and decision-curve analyses were also *** The present study demonstrated that using deep radiomic features extracted from Vgg16,in conjunction with a prediction model constructed via a linear regression algorithm,effectively distinguished the status of mediastinal lymph nodes in patients with lung *** performance of the model was evaluated based on various metrics,including accuracy,area under the receiver operating characteristic curve,sensitivity,specificity,positive predictive value,and negative predictive value,which yielded values of 0.808,0.834,0.851,0.745,0.829,and 0.776,*** validation set of the

关键词： Machine learning Deep transfer learning Evaluation Mediastinal lymph node lung cancer patie

Neoproterozoic Tectonic Events of Egypt

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Acta Geologica Sinica(English Edition) 2021年第4期95卷 1366-1405页

作者： Mohamed ABD EL-WAHED Zakaria HAMIMI Geology Department Faculty of ScienceTanta UniversityTanta 31527Egypt Department of Geology Faulty of ScienceBen ha UniversityBenha 13518Egypt

The Egyptian Nubian Shield(ENS)represents the northwestern part of the Arabian-Nubian Shield and the northern extension of the East African *** ENS is regarded as being formed due to northward-directed escape *** is characterized by mild accretion and suture zones dominated by major strike-slip zones with a commonly sinistral sense of movement;some shear zones display a dextral sense of *** is dominated by gneisses and migmatites in the south,arc volcaniclastic metasediments and highly dismembered ophiolites in the central parts,whereas its northern part is dominated by late-to post-tectonic *** southern Sinai,the Neoproterozoic rocks are grouped into four complexes,namely Feiran–Solaf,Sa’al–Zaghra,Kid and *** ENS ophiolites were formed between 730–750 Ma,mainly in a supra-subduction zone *** ENS has undergone a Neoproterozoic deformation history involving three successive phases:(1)Early N–S shortening phase(D1),(2)Syn-accretionary phase(D2)and(3)Post-accretionary phase(D3).The initial island-arc stage(780–730 Ma)is a N–S shortening phase initiated by collision between the Eastern Desert tectonic terrane to the north with both the Gebeit and Gabgaba terranes to the south(830–720 Ma).During the arc-splitting and back-arc spreading stage(730–620),voluminous syn-tectonic granitoids intruded into the ENS(750–610 Ma).The E–W-directed compressional/transpressional phase(620–450 Ma)led to the overall uplift of the central part of the ENS and consequently the development and exhumation of the core complexes in oblique convergent *** E–W intense shortening deformation resulted also in the formation of NW-and NE-striking sinistral and dextral strike-slip shear zones,*** latest periods of the E–W-directed compressional/transpressional regime were characterized by deposition of the molasse-type Hammamat Sediments unconformably over the Dokhan Volcanics,or interbedded with *** combined thrusting,folding and sin

关键词： Neoproterozoic deformation N–S shortening syn-accretionary phase post-accretionary phase Egyptian Nubian Shield

Monitoring the fibrolytic potential of microbial ecosystems from domestic and wild ruminants browsing tanniferous forages

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Animal Nutrition 2016年第1期2卷 40-44页

作者： Nokwethemba Nqobile Philile Msimango Fabian Nde Fon Department of Agriculture Faulty of Science and Agriculture University of Zululand

Although the rumen microbiome has been reported to synthesize a rich source of symbiotic enzymes(exocellulase, endocellulase, hemicellulase and cellobiase), the digestion of tropical C_4 grasses and browses by ruminants is still limited. Therefore, this study aimed to unveil potential fibrolytic microbial ecosystems from giraffe, kudu, impala and consortia(A1 [giraffe + kudu], A2 [giraffe + impala], A3[kudu + impala], and A4 [giraffe + kudu + impala]) browsing tanniferous plants, which can be used to improve forage utilization in domesticated goat. Crude protein enzyme extracts(CPZ) from fresh faecal samples were precipitated by 60% ammonium sulphate and assayed for exocellulase, endocellulase and hemicellulase by incubating with crystalline cellulose, carboxymethyl cellulose and xylan at 38 ℃ with optimum pH of 5.5 to 6.5 for 1, 2, and 48 h, respectively. Enzyme specific activities were defined as μg of reducing sugar/mg CPZ. In vitro fermentation study was done by transferring 33 mL of fresh faecal inoculum into 67 mL of salivary buffer containing 1 g Acacia sieberiana and incubating for 72 h at 38 ℃,Apparent degradability(APDeg), true degradability(TD), neutral detergent fibre degradability(NDFdeg),acid detergent fibre degradability(ADFdeg), microbial yield(MY), metabolizable energy(ME) and total gas emitted(Gas) were measured. Exocellulase activities were higher(P < 0.05) in all wild animals and consortia than those in goat except for A4. Minimal differences in hemicellulase activities(P < 0.05) were observed among goat and wild animals and consortia, while endocellulase activity was generally higher(P < 0.05) in goat than that in the rest of the systems. Apart from A3, TDeg, NDFdeg and ADFdeg were higher(P < 0.05) in all microbial ecosystems from wild animals and consortia than those in *** degradability, MY and ME also varied(P < 0.05) among these systems. Giraffe, Kudu and A3 produced lower(P < 0.05) gas than the goat system. This study showed that

关键词： Cellulase Hemicellulase Fermentation Tanniferous forage Gas production

Fault Analysis on AES:A Property-Based Verification Perspective

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Tsinghua science and Technology 2024年第2期29卷 576-588页

作者： Xiaojie Dai Xingxin Wang Xue Qu Baolei Mao Wei Hu School of Cybersecurity Northwestern Polytechnical UniversityXi’an 710072China School of Cyber science and Engineering Zhengzhou UniversityZhengzhou 450001China

Fault analysis is a frequently used side-channel attack for ***,existing fault attack methods usually involve complex fault fusion analysis or computation-intensive statistical analysis of massive fault *** this work,we take a property-based formal verification approach to fault *** derive fine-grained formal models for automatic fault propagation and fusion,which establish a mathematical foundation for precise measurement and formal reasoning of fault *** extract the correlations in fault effects in order to create properties for fault *** further propose a method for key recovery,by formally checking when the extracted properties can be satisfied with partial keys as the search *** results using both unprotected and masked advanced encryption standard(AES)implementations show that our method has a key search complexity of 216,which only requires two correct and faulty ciphertext pairs to determine the secret key,and does not assume knowledge about fault location or pattern.

关键词： side-channel attack fault analysis fault propagation model property extraction fault verification

New empirical formula for(γ, n) reaction cross section near GDR peak for elements with Z ≥ 60

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Chinese Physics C 2017年第4期41卷 94-107页

作者： Rajnikant Makwana S. Mukherjee 王建松陈志强 Physics Department Faulty of Science The Maharaja Sayajirao University of Baroda Vadodara-390002. India Key Laboratory of High Precision Nuclear Spectroscopy and Center for Nuclear Matter science Institute of Modern Physics Chinese Academy of Science Lanzhou 730000 China

A new empirical formula has been developed that describes the（7,n nuclear reaction cross sections for isotopes with Z ≥ *** results were supported by calculations using TALYS-1.6 and EMPIRE-3.2.2 nuclear modular *** energy region for incident photon energy has been selected near the giant dipole resonance（GDR peak *** evaluated empirical data were compared with available data in the experimental data library *** data produced using TALYS-1.6 and EMPIRE-3.2.2 are in good agreement with experimental *** have tested and presented the reproducibility of the present new empirical *** observe the reproducibility of the new empirical formula near the GDR peak energy is in good agreement with the experimental data and shows a remarkable dependency on key nuclei properties：the neutron,proton and atomic number of the *** behavior of nuclei near the GDR peak energy and the dependency of the GDR peak on the isotopic nature are *** effort has been made to explain the deformation of the GDR peak in（γ,n nuclear reaction cross sections for some isotopes,which could not be reproduced with TALYS-1.6 and *** evaluated data have been presented for the isotopes ^180W,^183W,^202Pb,^203Pb,^204Pb,^205Pb,^231Pa,^232U,^237U and ^239Pu,for which there are no previous measurements.

关键词： photonuclear reactions GDR empirical formula TALYS EMPIRE cross section

Corrosion and Electrochemical Behavior of Zn-Cu-Ti Alloy Added with La in 3% NaOH Solution

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Journal of Wuhan University of Technology(Materials science) 2016年第2期31卷 408-416页

作者：冀盛亚 LIANG Shuhua 宋克兴 WANG Qing faulty of Materials science and Engineering Xi'an University of Technology Xi'an 710048 China School of Materials science and Engineering Henan University of Science and Technology Luoyang 471023 China Department of Materials Engineering Henan Institute of Technology Xinxiang 453003 China

The corrosion mechanism of Zn-Cu-Tialloy added with La in 3% NaOH solution was investigated by electrochemicaltesting and SEM *** curves manifested that the overallcorrosion kinetics of alloys are under anodic *** anodic passivation of the Zn-Cu-Tialloy is remarkably improved by the addition of *** La can effectively improve the hydrogen evolution/oxygen reduction over-potentialof alloy elements,and the rare earth oxide film plays an important role in insulation that can strengthen the dielectric properties of Zn-Cu-Tialloy,the corrosion resistance of Zn-Cu-Tialloy is made significantly better by adding a trace amount of *** improvement of corrosion resistance is not positively correlated with the adding amount of La to *** Zn-Cu-Ti-0.5La alloy displays the best corrosion resistance *** corrosion form of the alloys mainly belongs to a selective corrosion and the main solid corrosion products are Zn（OH）_2 and ZnO.

关键词： Zn-Cu-Ti alloy rare earth La polarization curves EIS selective corrosion

Identification of Software Bugs by Analyzing Natural Language-Based Requirements Using Optimized Deep Learning Features

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Computers, Materials & Continua 2024年第3期78卷 4379-4397页

作者： Qazi Mazhar ul Haq Fahim Arif Khursheed Aurangzeb Noor ul Ain Javed Ali Khan Saddaf Rubab Muhammad Shahid Anwar Department of Computer science and Engineering and International Bachelor’s Program in Informatics Yuan Ze UniversityZhongliTaoyuan320315Taiwan Department of Computer science National University of PakistanRawalpindiPunjab46000Pakistan Department of Computer Software Engineering MCSNational University of Sciences and TechnologyIslamabad44000Pakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Department of Computer science School of PhysicsEngineering and Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer Engineering College of Computing and InformaticsUniversity of SharjahSharjah27272United Arab Emirates Department of AI and Software Gachon UniversitySeongnam-SI13120South Korea

Software project outcomes heavily depend on natural language requirements,often causing diverse interpretations and issues like ambiguities and incomplete or faulty *** are exploring machine learning to predict software bugs,but a more precise and general approach is *** bug prediction is crucial for software evolution and user training,prompting an investigation into deep and ensemble learning ***,these studies are not generalized and efficient when extended to other ***,this paper proposed a hybrid approach combining multiple techniques to explore their effectiveness on bug identification *** methods involved feature selection,which is used to reduce the dimensionality and redundancy of features and select only the relevant ones;transfer learning is used to train and test the model on different datasets to analyze how much of the learning is passed to other datasets,and ensemble method is utilized to explore the increase in performance upon combining multiple classifiers in a *** National Aeronautics and Space Administration(NASA)and four Promise datasets are used in the study,showing an increase in the model’s performance by providing better Area Under the Receiver Operating Characteristic Curve(AUC-ROC)values when different classifiers were *** reveals that using an amalgam of techniques such as those used in this study,feature selection,transfer learning,and ensemble methods prove helpful in optimizing the software bug prediction models and providing high-performing,useful end mode.

关键词： Natural language processing software bug prediction transfer learning ensemble learning feature selection

The Investigation of Data Voting Algorithm for Train Air-Braking System Based on Multi-Classification SVM and ANFIS

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Chinese Journal of Electronics 2024年第1期33卷 274-281页

作者： Juhan WANG Ying GAO Yuan CAO Tao TANG School of Electronics and Information Engineering Beijing Jiaotong University Graduate Department China Academy of Railway Science National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University

The pressure data of the train air braking system is of great significance to accurately evaluate its operation state. In order to overcome the influence of sensor fault on the pressure data of train air braking system, it is necessary to design a set of sensor fault-tolerant voting mechanism to ensure that in the case of a pressure sensor fault, the system can accurately identify and locate the position of the faulty sensor, and estimate the fault data according to other normal data. A fault-tolerant mechanism based on multi-classification support vector machine(SVM) and adaptive network-based fuzzy inference system(ANFIS) is introduced. Multi-classification SVM is used to identify and locate the system fault state, and ANFIS is used to estimate the real data of the fault sensor. After estimation, the system will compare the real data of the fault sensor with the ANFIS estimated data. If it is similar,the system will recognize that there is a false alarm and record it. Then the paper tests the whole mechanism based on the real data. The test shows that the system can identify the fault samples and reduce the occurrence of false alarms.

关键词： Support vector machines Fault diagnosis Pressure sensors Fuzzy logic Fault tolerance Adaptive systems Fault tolerant systems

Analysis of Secured Cloud Data Storage Model for Information

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Journal of Software Engineering and Applications 2024年第5期17卷 297-320页

作者： Emmanuel Nwabueze Ekwonwune Udo Chukwuebuka Chigozie Duroha Austin Ekekwe Georgina Chekwube Nwankwo Department of Computer science Imo State University Owerri Nigeria Department of Computer science Gregory University Abia Nigeria Department of Computer science Anambra State University Awka Nigeria

This paper was motivated by the existing problems of Cloud Data storage in Imo State University, Nigeria such as outsourced data causing the loss of data and misuse of customer information by unauthorized users or hackers, thereby making customer/client data visible and unprotected. Also, this led to enormous risk of the clients/customers due to defective equipment, bugs, faulty servers, and specious actions. The aim if this paper therefore is to analyze a secure model using Unicode Transformation Format (UTF) base 64 algorithms for storage of data in cloud securely. The methodology used was Object Orientated Hypermedia Analysis and Design Methodology (OOHADM) was adopted. Python was used to develop the security model;the role-based access control (RBAC) and multi-factor authentication (MFA) to enhance security Algorithm were integrated into the Information System developed with HTML 5, JavaScript, Cascading Style Sheet (CSS) version 3 and PHP7. This paper also discussed some of the following concepts;Development of Computing in Cloud, Characteristics of computing, Cloud deployment Model, Cloud Service Models, etc. The results showed that the proposed enhanced security model for information systems of cooperate platform handled multiple authorization and authentication menace, that only one login page will direct all login requests of the different modules to one Single Sign On Server (SSOS). This will in turn redirect users to their requested resources/module when authenticated, leveraging on the Geo-location integration for physical location validation. The emergence of this newly developed system will solve the shortcomings of the existing systems and reduce time and resources incurred while using the existing system.

关键词： Cloud Data Information Model Data Storage Cloud Computing Security System Data Encryption