Total Plasma Exchange for Hypertriglyceridaemia Complicated by Acute Pancreatitis: A Case Report by Dawlat Sany, Wael Ahmed Yousry, Wael Refai, Walid Hassan, Rami Qattan, Yasser Elsahawi

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Evaluating physician concordance in interpretation of tracheobronchomalacia diagnosis and phenotyping using dynamic expiratory chest computed tomography by G. A. Cortes-Puentes, M. Matatko, B. J. Bartholmai, E. S. Edell, K. G. Lim

“…Agreement among specialists was substantial for TBM diagnosis (Fleiss’s Kappa = 0.61, p < 0.001) but moderate for phenotype classification (Fleiss’s Kappa = 0.52, p < 0.001). …”
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TNF Superfamily: A Growing Saga of Kidney Injury Modulators by Maria D. Sanchez-Niño, Alberto Benito-Martin, Sara Gonçalves, Ana B. Sanz, Alvaro C. Ucero, Maria C. Izquierdo, Adrian M. Ramos, Sergio Berzal, Rafael Selgas, Marta Ruiz-Ortega, Jesus Egido, Alberto Ortiz

“…TWEAK promotes the secretion of MCP-1 and RANTES through NF-kappaB RelA-containing complexes and upregulates CCl21 and CCL19 expression through NF-kappaB inducing kinase (NIK-) dependent RelB/NF-kappaB2 complexes. …”
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Role of the Molecular Mass on the Elastic Properties of Hybrid Carrageenan Hydrogels by Gabriela Gonçalves, Bruno Faria, Izabel Cristina Freitas Moraes, Loic Hilliou

“…Mc is found to be smaller for kappa- and kappa-2-carrageenans of the order of 0.13–0.21 MDa. …”
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Iodine promoted one-pot synthesis of flavones by Darvin Jesús Torres Ribón, Luis Fernando Roa de la Fuente, Nancy Romero Ceronio, Oswaldo Hernández Abreu, Madeleyne Ramos Rivera, Jorge R. Juárez, Rosalía Torralba, Manuel Velasco Ximello, Quirino Torres Sauret, Cuauhtémoc Alvarado Sánchez

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Combination of gray level features with deep transfer learning for copra classification using machine learning and neural networks by A. Stephen Sagayaraj, T. Kalavathi Devi

“…Other classifiers, such as Logistic Regression (98.3% accuracy, 0.96 Kappa), Kk-Nearest Neighbour (KNN) (98.3% accuracy, 0.96 Kappa), and Random Forest (98.9% accuracy, 0.97 Kappa), also performed well but slightly lower than the neural network. …”
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Bid regulates the pathogenesis of neurotropic reovirus. by Pranav Danthi, Andrea J Pruijssers, Angela K Berger, Geoffrey H Holm, Sandra S Zinkel, Terence S Dermody

“…Reovirus infection leads to apoptosis in both cultured cells and the murine central nervous system (CNS). NF-kappaB-driven transcription of proapoptotic cellular genes is required for the effector phase of the apoptotic response. …”
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Detection of Vertical Root Fractures Using Cone-Beam Computed Tomography in the Presence and Absence of Gutta-Percha by Ehsan Hekmatian, Mitra Karbasi kheir, Hossein Fathollahzade, Mahnaz Sheikhi

“…The sensitivity and specificity of VRF diagnosis in assessing gutta-percha filled canals were 32% and 68% for the first observer, respectively (Kappa < 0.000, p value = 1.000), and 40% and 68% for the second observer, respectively (Kappa = 0.080, p value = 0.556). …”
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Evaluation of linear, nonlinear and ensemble machine learning models for landslide susceptibility assessment in southwest China by Bingwei Wang, Qigen Lin, Tong Jiang, Huaxiang Yin, Jian Zhou, Jinhao Sun, Dongfang Wang, Ran Dai

“…The findings are: (1) Regarding the model predictive performance, the best predictive performance was demonstrated by the ensemble models Catboost (AUC = 0.823 and Kappa = 0.593) and RF (AUC = 0.821 and Kappa = 0.582), followed by the nonlinear models SVM (AUC = 0.775 and Kappa = 0.520), ANN (AUC = 0.770 and Kappa = 0.486) and C5.0 DT (AUC = 0.751 and Kappa = 0.497), while the linear model LR (AUC = 0.756 and Kappa = 0.456) had a more limited performance. …”
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UTILIZATION OF K-NEAREST NEIGHBOR ALGORITHM TO ANALYZE AND CLASSIFY HEART DISORDERS BASED ON ELECTROCARDIOGRAM RECORDING DATA by Sumiati, Hanif Nurmajid, Muhammad Ibrohim, Hendry Gunawan

“…In the future, the development of this system can be done by increasing the amount of data, more complete features, or trying other more complex classification methods to improve accuracy and Kappa.   Keyword: Heart Disorders, Classification, K-Nearest Neighbor, Success Rate and Kappa Statistic …”
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Radiography may not be accurate in assessing acute ankle sprains in children by Xiongtao Li, Xiantao Shen, Si Wang, Jie Sun, Zhaoting Liu

“…Ultrasonography showed substantial agreement with MRI (Kappa = 0.797), whereas radiography showed fair agreement with MRI (Kappa = 0.384). …”
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Agreement between 2D Visual- and 3D Motion Capture-based Assessment of Foot Strike Pattern by Haruhiko Goto, Toshinao Kamikubo, Ryota Yamamoto, Toshiharu Tsutsui, Suguru Torii

“…In contrast, an assessment of the three types: FFS, MFS, and RFS, revealed relatively low kappa values (κ = 0.58--0.71). Kappa values within the NRFS category, which includes MFS and FFS, ranged from fair to slight (κ = 0.08--0.33)…”
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Concordance between Immunohistochemistry and Microarray Gene Expression Profiling for Estrogen Receptor, Progesterone Receptor, and HER2 Receptor Statuses in Breast Cancer Patients... by Ghina B. Fakhri, Reem S. Akel, Maya K. Khalil, Deborah A. Mukherji, Fouad I. Boulos, Arafat H. Tfayli

“…Concordance rates, agreement measures, and kappa scores were calculated for both methods. Results. …”
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Intra-rater Reliability of a Qualitative Landing Scale for the Single-Hop Test: A Pilot Study by Maxime V. Measson, Matthew P. Ithurburn, Alexandre JM. Rambaud

“…Dorsiflexion at initial contact (97% agreement; kappa value=0.79) and knee valgus after landing (88% agreement; kappa value=0.65) had excellent agreement and kappa values…”
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Application of Functional Capacity Evaluation in Return-to-work Ability Assessment of Work-related Injury Patients with Local Factures by Ru HUANG, Xunwen LU, Yanwen XU, Huiling ZHOU

“…At the same time, we explored the effect of pain on the predictive validity of FCE.Results:There were all significant relationships between recommendations of return-to-work and employment rate within three months for all patients(group One:<italic>Kappa</italic>=0.428,<italic>P</italic>&lt;0.05;group Two:<italic>Kappa</italic>=0.384,<italic>P</italic>&lt;0.05;group Three:<italic>Kappa</italic>=0.280,<italic>P</italic>&lt;0.05). …”
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Agreement Between Tele- and Face-to-Face Assessment of Neuromotor Development in High-Risk Children by Ana Isabel Rubio-López, Marie Carmen Valenza, Julia Raya-Benítez, Geraldine Valenza-Peña, Irene Cabrera-Martos, Laura López-López, Ángela Benítez-Feliponi

“…The NEM assessment showed almost perfect reliability (kappa ≥ 0.81) for most items. Seven of them showed substantial reliability (kappa = 0.61–0.80), one moderate reliability (kappa = 0.568), and one fair reliability (kappa = 0.338). …”
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Zoea Crab Larva Counter (CLARCO) Based On Image Processing With Adaptive Gaussian Filter Algorithm And Blob Detection Technique by Furqan Zakiyabarsi, Arizal Arizal, Annisa Nurul Puteri, Achmad Zulfajri S, Muhammad Syafaat

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Explicit solutions of nonlocal reverse-time Hirota-Maxwell-Bloch system by Zh. Myrzakulova, Z. Zakariyeva, K. Suleimenov, U. Uralbekova, K. Yesmakhanova

“…By deriving the Darboux transformation for this system, we obtained explicit expressions for the new potentials $ q', p' $, and $ \eta' $ in both the defocusing ($ \kappa = 1 $) and focusing ($ \kappa = -1 $) cases. …”
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Climate Change and Environmental Influence on Prevalence of Visceral Leishmaniasis in West Pokot County, Kenya by Bulle Abdullahi, Joshua Mutiso, Fredrick Maloba, John Macharia, Mark Riongoita, Michael Gicheru

“…Kala-azar is a parasitic disease caused by Leishmania species transmitted by sand fly. …”
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Accuracy of ESAT6-CFP10 skin test compared with tuberculin skin test in a healthy population: a randomized, blind, parallel controlled phase III clinical study by Xiaoyan Ding, Weixin Du, Qiao Liu, Lifeng Tao, Yan Shao, Peng Lu, Huaiyu Yang, Xiaoxue Teng, Cheng Chen, Zhongqi Li, Jinbiao Lu, Aihua Zhao, Guozhi Wang, Miao Xu, Limei Zhu

“…The concordance between the EC and T-SPOT tests was 88.97% (kappa = 0.56), and that between the TB-PPD and T-SPOT tests was 58.19% (kappa = 0.20). …”
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