Asylum and Identity: the transvestite case by Debra A. Castillo

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Applesnails (of Florida), Pomacea spp. (Gastropoda: Prosobranchia: Pilidae) by Lionel A. Stange

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A Nomogram for Predicting Overall Survival in Primary Central Nervous System Lymphoma: A Retrospective Study by Ling Y, Miao X, Zhou X, Ma J, Lin Z, Li Q, Zhang M, Ma Y, Chen B

“…The corresponding AUC values in the validation cohort were 0.711, 0.731, and 0.840, respectively. …”
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Comparison of Glenohumeral Range of Motion Deficits in Youth, Collegiate, and Professional Baseball Players by C. Luke Wilcox, Hillary A. Plummer, Roger V. Ostrander III

“…Multiple one-way analyses of variance were performed to determine differences between groups. Tukey test for post-hoc analysis was employed to determine which competition levels were significantly different…”
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Multiparameter body composition analysis on chest CT predicts clinical outcomes in resectable non-small cell lung cancer by Yilong Huang, Hanxue Cun, Zhanglin Mou, Zhonghang Yu, Chunmei Du, Lan Luo, Yuanming Jiang, Yancui Zhu, Zhenguang Zhang, Xin Chen, Bo He, Zaiyi Liu

“…The body composition metrics significantly enhance the model including clinicopathological factors, resulting in an improved AUC for predicting 1-year and 3-year OS, with AUC values of 0.707 and 0.733, respectively. …”
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Associations of the Need for Surgery in Emergency Department Patients with Small Bowel Obstructions by Daniel J. Berman, Alexander W. Mahler, Ryan C. Burke, Andrew E. Bennett, Nathan I. Shapiro, Leslie A. Bilello

“…We calculated odds ratios (OR) and 95% confidence intervals (CI) along with the area under the curve (AUC), as appropriate. Results: A total of 530 patients met the study criteria; 148 (27.9%) underwent surgery of whom 35 (6.6%) had complications. …”
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β-synuclein in cerebrospinal fluid as a potential biomarker for distinguishing human prion diseases from Alzheimer’s and Parkinson’s disease by Bing Xu, Kang Xiao, Xiaoxi Jia, Rundong Cao, Donglin Liang, Ruhan A, Weiwei Zhang, Chunjie Li, Liping Gao, Cao Chen, Qi Shi, Xiaoping Dong

“…Receiver operating characteristics (ROC) curves and area under the curve (AUC) values were used to assess the diagnostic performance of β-syn. …”
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Mortality trends and disparities for coexisting chronic obstructive pulmonary disease and cardiovascular disease: A retrospective analysis of deaths in the United States from 1999-... by Aman Goyal, Humza Saeed, Wania Sultan, Ajeet Singh, Abdullah, Muhammad Khubaib Arshad, Zubair Amin, Mah I Kan Changez, Gauranga Mahalwar, Rozi Khan, Wael AlJaroudi

“…This study analyzes mortality trends and disparities among individuals in the United States (US) affected by both CVD and COPD.<h4>Methods</h4>This study analyzed death certificates from the CDC WONDER database for individuals aged 25 and older who died between 1999 and 2020 with both CVD (ICD I00-I99) and COPD (ICD J41-J44). …”
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Accessible model predicts response in hormone receptor positive HER2 negative breast cancer receiving neoadjuvant chemotherapy by Luca Mastrantoni, Giovanna Garufi, Giulia Giordano, Noemi Maliziola, Elena Di Monte, Giorgia Arcuri, Valentina Frescura, Angelachiara Rotondi, Armando Orlandi, Luisa Carbognin, Antonella Palazzo, Federica Miglietta, Letizia Pontolillo, Alessandra Fabi, Lorenzo Gerratana, Sergio Pannunzio, Ida Paris, Sara Pilotto, Fabio Marazzi, Antonio Franco, Gianluca Franceschini, Maria Vittoria Dieci, Roberta Mazzeo, Fabio Puglisi, Valentina Guarneri, Michele Milella, Giovanni Scambia, Diana Giannarelli, Giampaolo Tortora, Emilio Bria

“…Abstract Hormone receptor-positive/HER2-negative breast cancer (BC) is the most common subtype of BC and typically occurs as an early, operable disease. …”
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Multiple Machine Learning Algorithms-based NBA Team Playoffs Prediction by Yeung Manho

“…Among the models, Random Forest outperformed the others, achieving the highest ROC-AUC score of 0.841. Its ensemble approach allowed for the effective capture of complex feature interactions, making it the most accurate model for predicting whether a team would qualify for the playoffs based on team performance. …”
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Revolutionizing colorectal cancer detection: A breakthrough in microbiome data analysis. by Mwenge Mulenga, Arutchelvan Rajamanikam, Suresh Kumar, Saharuddin Bin Muhammad, Subha Bhassu, Chandramathi Samudid, Aznul Qalid Md Sabri, Manjeevan Seera, Christopher Ifeanyi Eke

“…This innovative approach markedly enhances the Area Under the Curve (AUC) performance of the Deep Neural Network (DNN) algorithm in colorectal cancer (CRC) detection using gut microbiome data, elevating it from 0.800 to 0.923. …”
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AFM-DViT: A framework for IoT-driven medical image analysis by Jiacheng Yang

“…Experimental results demonstrate that AFM-DViT outperforms state-of-the-art methods by achieving an AUROC of 0.841 and sensitivity of 0.925 on the ChestX-ray14 dataset, alongside a sensitivity of 0.888 with an AUC of 0.905 on the LUNA16 dataset. …”
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Annotation-free deep learning for predicting gene mutations from whole slide images of acute myeloid leukemia by Bo-Han Wei, Xavier Cheng-Hong Tsai, Kuo-Jui Sun, Min-Yen Lo, Sheng-Yu Hung, Wen-Chien Chou, Hwei-Fang Tien, Hsin-An Hou, Chien-Yu Chen

“…Using a dataset of 572 WSIs, the largest database with both WSI and genetic mutation information, our model achieved an AUC of 0.90 ± 0.08 for NPM1 and 0.80 ± 0.10 for FLT3-ITD in the testing cohort. …”
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Research on cutting mechanism and process optimization method of gear skiving by Peng Wang, Yuanchao Ni, Xiaoqiang Wu, Jiaxue Ji, Geng Li, Jiahao Wu

“…To address this issue, this paper first establishes a finite element model of skiving the internal circular arc tooth in pin wheel housing, and the simulation model is simplified to improve computation efficiency. …”
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Constraining sulphur yields of trachytic and phonolitic volcanic eruptions: Tambora, Vesuvius, Laacher See and Campi Flegrei by Scaillet, Bruno, Oppenheimer, Clive, Cioni, Raffaello, Scaillet, Stephane,  Moussallam, Yves, Prouteau, Gaelle, Andujar, Joan

“…Our findings demonstrate that alkali-rich magmas do not outstrip dacite or rhyolite arc compositions in respect of sulphur abundance and can inform both climate modelling efforts and the search for the eruptions’ signatures in ice core records.…”
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SiameseNet based on multiple instance learning for accurate identification of the histological grade of ICC tumors by Zhizhan Fu, Fazhi Feng, Xingguang He, Tongtong Li, Xiansong Li, Jituome Ziluo, Zixing Huang, Jinlin Ye

“…BackgroundAfter hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC) is the second most common primary liver cancer. …”
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Agricultural Management Options for Climate Variability and Change: Sensor-Based, Variable-Rate Nitrogen Management by Wesley Porter, Ahmad Khalilian, Daniel Dourte, Clyde Fraisse

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The Preferred User: How Audio Description could Change Understandings of Australian Television Audiences and Media Technology by Ellis Katie, Kent Mike, Locke Kathryn

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The role of dendritic cells in tertiary lymphoid structures: implications in cancer and autoimmune diseases by Mariana Reste, Kristi Ajazi, Ayca Sayi-Yazgan, Ayca Sayi-Yazgan, Radmila Jankovic, Biljana Bufan, Sven Brandau, Espen S. Bækkevold, Florent Petitprez, Malin Lindstedt, Gosse J. Adema, Catarina R. Almeida

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Microstructures, properties and preparations of lightweight refractory high-entropy alloys: A review by Gengchen Li, Zhibin Wu, Yajing Dong, Zhen Hu, Yuefei Jia, Shiwei Wu, Yongkun Mu, Kang Sun, Yandong Jia, Gang Wang

“…A critical examination of traditional preparation techniques, including arc melting and powder metallurgy, illuminates their respective advantages and limitations, providing a nuanced reference for future investigative directions. …”
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