A novel feature extraction method based on dynamic handwriting for Parkinson's disease detection. by Huimin Lu, Guolian Qi, Dalong Wu, Chenglin Lin, Songzhe Ma, Yingqi Shi, Han Xue

“…Given the easy accessibility of handwriting samples, many researchers have proposed handwriting-based detection methods for Parkinson's disease. Extracting more discriminative features from handwriting is an important step. …”
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Sub-topic detection and tracking based on dependency connection weights for vector space model by Xue-guang ZHOU, Fei GAO, Yan SUN

Subjects: “…topic detection and tracking…”
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Reduced phase-state detection based on virtual modulation indexes for Multi-h CPM by Shunqin XIE, Ke ZHOU, Dahai CHEN, Xianglu LI, Sheng ZHONG, Jian ZHANG

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Detecting Latent Topics and Trends in Global Publications on Brucellosis Disease Using Text Mining by Meisam Dastani, Jalal Mardaneh, Omid Pouresmaeil

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Unified Dynamic Dictionary and Projection Optimization With Full-Rank Representation for Hyperspectral Anomaly Detection by Hongran Li, Chao Wei, Yizhou Yang, Zhaoman Zhong, Ming Xu, Dongqing Yuan

Subjects: “…hyperspectral anomaly detection (HAD)…”
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A Star‐Nose‐Inspired Bionic Soft Robot for Nonvisual Spatial Detection and Reconstruction by Qiwei Shan, Yunqi Cao, Haozhen Chi, Shuyu Fan, Ziying Zhu, Dibo Hou

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VulMPFF: A Vulnerability Detection Method for Fusing Code Features in Multiple Perspectives by Xiansheng Cao, Junfeng Wang, Peng Wu, Zhiyang Fang

“…Existing deep learning-based detection methods have proven their effectiveness. …”
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Defense against Feeding by Spring Aphid Parasitism in the Upper Leaf Parts of Host Plants by Yuuka Murakami, Hisashi Kawai, Akane Shindo, Eisuke Hasegawa

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Acoustic Signal Aided Detection Method of Spiral Bevel Gears Based on PSO-MCKD by Li Xianshan, Tian Yu, Wei Lilin, Zhao Xiaofeng, Yan Changfeng

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Preparation of Restricted Access Media-Molecularly Imprinted Polymers for the Detection of Chloramphenicol in Bovine Serum by Shanwen Zhao, Chanling Wei, Zhian Sun, Huachun Liu, Yanqiang Zhou, Xiaoxiao Wang, Jianmin Li, Bolin Gong

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Preparation of specific components of Elisa test-system for detection of Schmallenberg desease virus antigens by O. G. Gubenko, O. P. Bjadovskaya, S. V. Kononova, Yu. Yu. Babin, N. A. Soloukhina, A. V. Kononov

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RETRACTED: Impact of anthropogenic toxic substances on the antioxidant defense of Ceratophyllum demersum and Egeria densa by Glamazdin Igor, Kropova Yulia, Kartashev Valerii, Zavalishina Svetlana

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Fault Detection in an Electro-Hydrostatic Actuator Using Polyscale Complexity Measures and Bayesian Classification by Soleiman Hosseinpour, Witold Kinsner, Saman Muthukumarana, Nariman Sepehri

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Coproantigen detection and molecular identification of Cryptosporidium species among newborn and adult farm animals by Dina Aboelsoued, Nagwa I. Toaleb, Kadria N. Abdel Megeed

“…Therefore, this study aimed to evaluate an early diagnosis of cryptosporidiosis using the anti-Cryptosporidium parvum oocyst immunoglobulin IgG polyclonal antibodies (anti-C. parvum IgG PAbs)-based sandwich enzyme-linked immunosorbent assay (ELISA) for the detection of Cryptosporidium oocyst antigens in fecal samples of farm animals in Egypt. …”
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Grassmannian Constellation Based on Antipodal Points and Orthogonal Design and Its Simplified Detecting Algorithm by Li Peng, Dacong Hu, Lin Zhang, Zhen Qin

“…The antipodal constellation enables an intrinsic simplified ML detecting algorithm. The algebraic orthogonal USTM constellation is also an antipodal constellation which, apart from being adaptive to the antipodal simplified ML detector, also has another simplified ML detector based on its self-indexing features, and the latter is simpler because of getting rid of the matrix operation. …”
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Inflammasomes, Autophagy, and Cell Death: The Trinity of Innate Host Defense against Intracellular Bacteria by Teresa Krakauer

“…Inflammasome activation is an innate host defense mechanism initiated upon sensing pathogens or danger in the cytosol. …”
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Anomaly detection and location of malicious node for IoT based on smart contract in blockchain network by Haojie HUANG, Xiaoxiao WU, Gangqiang LI

“…With the explosive growth of the number of distributed devices in the Internet of things (IoT) network,the security of decentralized multi-agent optimization algorithm has become the forefront problem.The distributed algorithms in the IoT network are vulnerable to data injection attacks from internal malicious node because each agent locally estimates its state without any supervision.In general,the detection methods for malicious node run independently in each agent,inducing issues such as closed data,single points of failure,opaque detection processes,and so on.The proposed strategy considered detecting via an aid of blockchain technology and smart contracts in Ethereum to detect malicious node in the network.Based on the decentralized and multiple backup features of blockchain technology,the multi-site backup features of the blockchain technology enabled data sharing and avoided single point failure.In addition,the contract code,execution process and result of the smart contract were open and transparent,and the contract code and result could not be tampered to ensure that the detection process could be traced and verified.Finally,the average consensus algorithm was adopted as an example,and the proposed strategy was verified on a simplified IoT network implemented by Raspberry Pi.…”
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Implementation of lightweight intrusion detection model for security of smart green house and vertical farm by Jun-Ho Huh

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Detecting Positive and Negative Changes From SAR Images by an Evolutionary Multi-Objective Approach by Shuang Liang, Hao Li, Yun Zhu, Maoguo Gong

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Designing of immunodiagnostic assay using polyclonal antibodies for detection of Enteropathogenic Escherichia coli strains. by Aliyi Hassen Jarso, Biniam Moges Eskeziyaw, Degisew Yinur Mengistu, Tesfaye Sisay Tessema

“…The assay exhibited 100% sensitivity and a 95.83% specificity for the detection of EPEC local isolates. Moreover, the assay also detected a low number of bacteria forming units (104X 104 CFU/ml) in spiked fecal samples. …”
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