Development of organizational healing scale: validity and reliability study by İsmail Karsantık, Semih Çayak

“…Validity was also ensured through convergent and discriminant validity. Reliability was tested using Cronbach's alpha coefficient value.ResultsThe two components (individual priority, organizational priority) identified through EFA as contributing to the construct validity of the scale were subsequently confirmed by CFA. …”
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Rapid and Nondestructive Determination of Egg Freshness Category and Marked Date of Lay using Spectral Fingerprint by Thomas O. S. Akowuah, Ernest Teye, Julius Hagan, Kwasi Nyandey

“…The spectra acquired from the eggs were preprocessed using multiplicative scatter correction and principal component analysis (MSC-PCA). Linear discriminant analysis (LDA) was used to build identification model to predict the category of freshness, while partial least square regression (PLS-R) was used to determine the marked date of lay. …”
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Multiscale Time-Frequency Sparse Transformer Based on Partly Interpretable Method for Bearing Fault Diagnosis by Shouquan Che, Jianfeng Lu, Congwang Bao, Caihong Zhang, Yongzhi Liu

“…Then, the novel encoder-decoder structure is presented, the multiple encoders are employed to extract the hidden feature of different time-frequency sequences obtained by STFT with different window widths, and the decoder is used to remap the deep information and connect to the classifier for discriminating fault types. The proposed method is tested in the XJTU-SY bearing dataset and self-made experiment rig dataset, and the following work is conducted. …”
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An Inverted Residual Cross Head Knowledge Distillation Network for Remote Sensing Scene Image Classification by Cuiping Shi, Mengxiang Ding, Liguo Wang

“…Remote sensing scene images exhibit greater complexity in terms of land features, with large intra class differences and high inter class similarity, posing challenges in effectively extracting discriminative features. Convolutional neural networks are extensively used in RSSC tasks, where convolution focuses more on the high-frequency components of the image. …”
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Untargeted urine metabolomics reveals dynamic metabolic differences and key biomarkers across different stages of Alzheimer’s disease by Xiaoya Feng, Shenglan Zhao

“…Early intervention at the MCI stage can significantly delay AD onset.MethodsThis study employed untargeted urine metabolomics, with data obtained from the MetaboLights database (MTBLS8662), combined with orthogonal partial least squares-discriminant analysis (OPLS-DA) to examine metabolic differences across different stages of AD progression. …”
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Unsupervised and Semisupervised Machine Learning Frameworks for Multiclass Tool Wear Recognition by Maryam Assafo, Peter Langendoerfer

“…The results showed which of the frameworks led to the best predictive performance under which data settings, and highlighted the significance of sensor fusion and discriminative feature representations in combating the unavailability and scarcity of labels, among other findings. …”
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Estimation Model for Bread Quality Proficiency Using Fuzzy Weighted Relevance Vector Machine Classifier by Zainab N. Ali, Iman Askerzade, Saddam Abdulwahab

“…The obtained data are generally raw, and hence, the required features are obtained through dimensionality reduction using the Linear Discriminant Analysis (LDA). The processed data and the attributes are given as input to the classifier to obtain final estimation results. …”
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Phylogeography and hybridization of corvid birds in the Palearctic Region by A. P. Kryukov

“…Several genetic markers were unable to discriminate between pure carrion and hooded crows. Mitochondrial DNA sequences revealed no difference between carrion and hooded crows, but instead two diverged haplogroups within the eastern part of the distribution range of the carrion crow. …”
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16S rRNA sequencing-based evaluation of the protective effects of key gut microbiota on inhaled allergen-induced allergic rhinitis by Yi Tang, Yongchuan She, Danping Chen, Yibo Zhou, Dan Xie, Zhai Liu

“…Microbial diversity was assessed using alpha and beta diversity indices, and differential microbiota populations were identified through Linear discriminant analysis Effect Size (LEfSe) analysis. A Least Absolute Shrinkage and Selection Operator (LASSO) regression model was employed to pinpoint key species. …”
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Contact zone of slow worms Anguis fragilis Linnaeus, 1758 and Anguis colchica (Nordmann, 1840) in Poland by Grzegorz Skórzewski, Bartosz Borczyk, Stanisław Bury, Daniel Kulik, Jan Kotusz

“…The hybrids were indistinguishable from parental species in head proportions (principal components and discriminant analyses) but more resembling A. colchica in meristic traits.…”
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Geometric morphometric analysis of the condylus occipitalis and foramen magnum in sheep and goat by Ismail Demircioglu, Yasin Demiraslan, Funda Aksunger Karaavci, Iftar Gurbuz, Ozcan Ozgel

“…It was found to explain the shape variation of the right condyle occipitalis to a great extent compared with PC2, while in PC3, it caused the entire right condyle occipitalis to explain the shape variation of the extreme lateral corner of the left condyle occipitalis and the left edge of the foramen magnum. The discriminant function analysis determined the Procrustes and Mahalanobis distances to be 0.12293879 (p < 0.0001) and 67.7482 (p < 0.0044), respectively.…”
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Evaluation of Preoperative CA15-3 Level and its Relationship with Clinico-Pathological Characteristics in Primary Breast Cancer Patients by Braihan Hamdi Hameed, Izzat Abdulsatar Al-Rayahi, Salwa S. Muhsin

“…The area under the curve (AUC) of CA15-3 for discriminating patients with primary breast cancer and healthy control subjects was 0.720 (95% CI: 0.589 to 0.828). …”
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miR-203 Expression in Exfoliated Cells of Tongue Coating Represents a Sensitive and Specific Biomarker of Gastroesophageal Reflux Disease by Xiuli Yan, Shengliang Zhu, Hui Zhang

“…These results suggest that miR-203 may be a useful diagnostic marker for discriminating GERD from Ctrls. Conclusions. miR-203 testing may assist in the diagnosis of patients with symptoms suggestive of GERD.…”
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The Role of Aquaculture in Shaping the Morphology of <i>Babylonia areolata</i>: A Comparative Study of Cultured and Wild Populations by Haishan Wang, Zhi Chen, Yuhe Tong, Le Ye, Youming Li

“…Statistical methods, including Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), were used to assess morphological differences. …”
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Engineering Application of an Identification Method to Shock-Induced Vortex Stability in the Transonic Axial Fan Rotor by Yan Xue, Ning Ge

“…The final verification results show that the above two vortex states can be satisfactorily detected by the theoretical discriminant introduced in this work.…”
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The Role of the London Missionary Society and Church Missionary Society in the Abolition of Oozhiyam (Bonded Labor Service) in Kerala by Ayyappan Balakrishnan

“…Caste slavery was an oppressive, discriminative, and exploitive system which existed in Kerala from an early medieval period onwards. …”
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Validation of Point-of-Care Glucose Testing for Diagnosis of Type 2 Diabetes by Marijana Vučić Lovrenčić, Vanja Radišić Biljak, Sandra Božičević, Edita Pape-Medvidović, Spomenka Ljubić

“…The diagnostic performance of POC-fasting glucose in discriminating between the normal and any category of disturbed glucose tolerance did not differ from the RLP (P=0.081). …”
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Twitter user geolocation method based on single-point toponym matching and local toponym filtering by Jin XUE, Fuxiang YUAN, Yimin LIU, Meng ZHANG, Yaqiong QIAO, Xiangyang LUO

“…The availability of accurate toponyms in user tweets is crucial for geolocating Twitter users.However, existing methods for locating Twitter users often suffer from limited quantity and reliability of acquired toponyms, thus impacting the accuracy of user geolocation.To address this issue, a twitter user geolocation method based on single-point toponym matching and local toponym filtering was proposed.A toponym type discriminating algorithm based on the aggregation degree of locations of the toponym was designed.In the proposed algorithm, a single-point toponym database was generated to provide more reliable toponyms extracted from tweets.Then, according to a proposed local place name filtering algorithm based on the aggregation degree of user location, the aggregation degree of user location centered on the longitude and latitude of toponyms and the average longitude and latitude of users were calculated.This process helped in extracting local toponyms with a high aggregation degree, which enhances the reliability of toponyms used in geolocation.Finally, a user-toponym heterogeneous graph was constructed based on user social relationships and user mentions of toponyms, and users were located by graph representation learning and neural networks.A large number of user geolocation experiments were conducted based on two commonly used public datasets in this field, namely GEOTEXT and TW-US.Comparisons with nine existing typical methods for Twitter user geolocation, including HGNN, ReLP, and GCN, demonstrate that our proposed method achieves significantly higher geolocation accuracy.On the GEOTEXT dataset, the average error is reduced by 7.3～342.8 km, the median error is reduced by 2.4～354.4 km, and the accuracy of large area-level geolocation is improved by 1.3%～26.3%.On the TW-US dataset, the average error is reduced by 8.6～246.6 km, the median error is reduced by 5.7～149.7 km, and the accuracy of large area-level geolocation is improved by 1.5%～20.5%.…”
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An Innovative Approach to Estimate Chloride Diffusion Coefficient in Submerged Concrete Structures Using Soft Computing by Seyyed Ali Habibi, Ali Hemmati, Hosein Naderpour

“…., linear, quadratic, cubic, Gaussian), K-nearest neighbors (fine, medium, coarse KNN), and two methods of ensemble learning (bagged tree, subspace discriminant) are applied to predict the chloride diffusion coefficient. …”
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Complexity to Forecast Flood: Problem Definition and Spatiotemporal Attention LSTM Solution by Yirui Wu, Yukai Ding, Yuelong Zhu, Jun Feng, Sifeng Wang

“…Considering the significance of modeling attention capability among hydrology factors, we believe extraction of discriminative hydrology factors not only reflect natural rules in physical space, but also optimally model iterations of factors to forecast run-off values in cyber space. …”
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