Inorganic Geochemical Study of the Siliciclastic Sediments penetrated by Ash-3 Well in the Greater Ughelli Depobelt, Niger Delta Basin, Nigeria by K. Itiowe, B. Kpege, O.N. Ekone, O.J. Aliu

“…Roser and Korsch’s discriminant function diagrams for provenance signature and tectonic setting show quartzose sedimentary provenance and passive margin tectonic setting fields respectively. …”
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Impact of Population Stratification on Family-Based Association in an Admixed Population by T. B. Mersha, L. Ding, H. He, E. S. Alexander, X. Zhang, B. G. Kurowski, V. Pilipenko, L. Kottyan, L. J. Martin, D. W. Fardo

“…The presence of population substructure was underscored by discriminant analysis, in which over 92% of individuals were correctly assigned to their actual family using only 100 principal components. …”
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Human Breast Carcinomal Tissues Display Distinctive FTIR Spectra: Implication for the Histological Characterization of Carcinomas by Tiyu Gao, Jun Feng, Yunxiang Ci

“…Apocrine, tubular, intraductal and mucinous carcinomas and invasive infiltrating ductal carcinomal tissues can be discriminated based on their characteristic spectra. …”
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Modeling Meteorological Effects on Cosmic Ray Muons Utilizing Multivariate Analysis by M. Savić, D. Maletić, A. Dragić, N. Veselinović, D. Joković, R. Banjanac, V. Udovičić, D. Knežević

“…The best results are achieved by the application of linear discriminant method, which increases sensitivity of our muon detector to cosmic ray variations beyond other commonly used methods.…”
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Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis by Yi Pan, Pushi Wang, Bowen Xue, Yanbin Liu, Xinhua Shen, Shiliang Wang, Xing Wang

“…Sensitivity and specificity in discriminating between bipolar disorder and normal individuals were 0.88 (9.5% CI: 0.74~0.95) and 0.89 (95% CI: 0.73~0.96) respectively, and the SROC curve was 0.94(95% CI: 0.92~0.96). …”
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The mC2HEST Score for Incident Atrial Fibrillation by Yanguang Li, MD, Qiaoyuan Li, MD, Lili Wang, MD, Tao Zhang, MD, Hai Gao, MD, Daniele Pastori, MD, PhD, Zhuo Liang, MD, Gregory Y.H. Lip, MD, Yunlong Wang, MD

“…The mC2HEST score showed positive net reclassification indexes (0.057, 0.090, 0.128, and 0.143) and integrated discriminative improvement (3.2%, 3.9%, 5.7%, and 4.9%) compared with C2HEST, HAVOC, HATCH, and CHA2DS2-VASc scores, respectively. …”
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Dissection of the genetic loci for grain hardness and variation of the key genes in common wheat (Triticum aestivum L.) by Jinna Hou, Pengge Sun, Pei Yan, Shenghui Geng, Wenxu Li, Maomao Qin, Ziju Dai, Baoming Tian, Zhengqing Wu, Zhengfu Zhou, Changwen Li, Zhensheng Lei

“…Furthermore, six KASP markers were developed, among which four were used to discriminate haplotypes of Pina and Pinb and two were developed from the peak SNPs of the major QTL located on 1 A and 1B, respectively. …”
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Large-Scale Neuronal Network Dysfunction in Diabetic Retinopathy by Xin Huang, Yan Tong, Chen-Xing Qi, Han-Dong Dan, Qin-Qin Deng, Yin Shen

“…A ROC curve showed that these specific intranetwork FCs of RSNs discriminated between the two groups with a high degree of sensitivity and specificity. …”
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Evaluation of indirect indices in the insulin resistance assessment in patients with different body mass index by Lejla Čano Dedić, Arzija Pašalić, Emsel Papić, Emir Begagić, Sabina Šečić Selimović, Mario Gazibarić, Sabina Šegalo

“…HOMA-IR showed moderate predictive power to discriminate IR in the obese group (AUC = 0.720), with a sensitivity and specificity of 70.4% and 89.1%, respectively. …”
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Target Tracking Algorithm in Football Match Video Based on Deep Learning by Wei Zhao

“…After processing, a high reliability candidate box for training and matching is obtained, and the feature maps of the detection results are collected to obtain the depth features required for tracking. Scale space discriminant tracking algorithm and Markov Monte Carlo algorithm are used to track single target or multi-target, respectively. …”
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Internet traffic classification using SVM with flexible feature space by Yaguan QIAN, Xiaohui GUAN, Bensheng YUN, Qiong LOU, Pengfei MA

“…SVM is a typical machine learning algorithm with prefect generalization capacity,which is suitable for the internet traffic classification.At present,there are two approaches,One-Against-All and One-Against-One,proposed for extending SVM to multi-class problem like traffic classification.However,these approaches are both based on a unique feature space.In fact,the separating capacity of a special traffic feature is not similar to different applications.Hence,flexible feature space for extending SVM was proposed,which constructs independent feature space with optimal discriminability for each binary-SVM and trains them under their own feature space.Finally,these trained binary-SVM were ensemble by One-Against-All and One-Against-One approaches.The experiments show that the proposed approach can efficiently improve the precision and callback of the traffic classifier and easily obtain more reasonable optimal separating hyper-plane.…”
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Antenna azimuth diagnosis based on multi-layer perceptron model by Xiangrong CHEN

“…Antenna azimuth was seen as a key factor in the quality of mobile communications, and its accuracy will directly affect the quality of network optimization.An antenna azimuth diagnosis method was proposed based on multi-layer perceptron.The azimuth was divided into 12 interval classes, each class covered a range of 30°, that was,[0, 30°) was recorded as class 0, …,[330°, 360°) was recorded as class 11.The multi-layer perceptron algorithm was used to identify the range of the antenna azimuth angle and automatically identify the angle range of the antenna azimuth angle, which provided effective data support for the network optimization engineer to determine the actual network coverage problem, and greatly reduced workload and labor cost in verifying antenna performance.Experimental results show that the method can effectively and quickly discriminate the antenna azimuth interval class, and the recognition accuracy reaches 92.6%, which is higher than the classification accuracy of random forest and logistic regression classification algorithms.…”
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Prendre place dans l’espace public en tant que minorité : enquête croisée sur les personnes trans et les femmes musulmanes dans les piscines municipales françaises by Milan Bonté

“…Thanks to an intersectional analytical framework and focusing on both the material and symbolic dimensions of accessibility to public spaces, this article compares the negotiations between local public authorities and two multi-discriminated minorities, differently positioned in the social relations of class, gender and race: trans people and Muslim women. …”
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Recognizing human activities from smartphone sensors using hierarchical continuous hidden Markov models by Charissa Ann Ronao, Sung-Bae Cho

“…However, most of the existing works focus on discriminative classifiers while neglecting the inherent time-series and continuous characteristics of sensor data. …”
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The WArP Experiment: A Double-Phase Argon Detector for Dark Matter Searches by Andrea Zani

“…The WArP experiment was then developed as one of the first to implement the idea of coupling Argon in liquid and gas phase, in order to discriminate β/γ-interactions from nuclear recoils and then achieve reliable background rejection. …”
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Scale of Organizational Structure Components (SOCS): Evidence of Validation of a Theoretical Model by Leandro Trigueiro-Fernandes, Joyce Mariella Medeiros Cavalcanti, Marcelo Victor Alves Bila, Miguel Eduardo Moreno Añez

“…The results show that the scale has acceptable goodness of fit, verifiable through adjustment indexes such as χ²/df, RMSEA, CFI, TLI, and SRMR, as well as composite reliability, convergent and discriminant validity tests. The identified organizational structure components were formalization, communication, decentralization, training and internalization, departmentalization, and hierarchy. …”
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Obstacles and Challenges to Gender Parity. Political Violence, Electoral System and Interculturalism by Laura Albaine

“…These situations are further complicated in societies which are also characterized by ethnic and cultural diversity, presenting the challenge of including women who are also discriminated against for their ethno-cultural identity.…”

Research on EEG signal classification of motor imagery based on AE and Transformer by Rui JIANG, Liuting SUN, Xiaoming WANG, Dapeng LI, Youyun XU

“…The motor imagery brain-computer interface has always been the focus of scholars.But traditional system cannot accurately extract significant signals and has low classification accuracy.To overcome such difficulty, a new Transformer model was proposed based on the auto-encoder (AE).The filter bank common spatial pattern (FBCSP) was used to extract the features of multiple frequency bands, and the AE was exploited to obtain the dimensionality-reduced feature matrix.Finally, it considered the influence of the global signal features by the position encoding of the Transformer model and considered the internal correlation of the feature matrix by using the multi-head self-attention mechanism.By comparison with the traditional K-nearest neighbors (KNN) system based on linear discriminant analysis (LDA), the experimental results validates that the classification effect of AE+Transformer model is better than that of LDA+KNN system.It shows that the improved algorithm is suitable for the binary classification of motor imagery.…”
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Solitons of the Twin-Core Couplers with Fractional Beta Derivative Evolution in Optical Metamaterials via Two Distinct Methods by Meryem Odabasi Koprulu, Zehra Pinar Izgi

“…This study obtains the solitary wave solutions for twin-core couplers having spatial-temporal fractional beta derivative evolution by using two different methods, the Bernoulli method and the complete polynomial discriminant system method. By graphing some of the obtained solutions, the effect of the beta derivative has been shown. …”
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Biological markers of disease activity in inflammatory bowel diseases by Edyta Szymanska, Sylwia Szymanska, Maciej Dadalski, Jaroslaw Kierkus

“…Nonetheless, other biological markers discriminating between functional and organic bowel conditions have been widely studied. …”
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