tPA‐GFP is a reliable probe for detecting compound exocytosis in human pancreatic β‐cells by Aishwarya A. Makam, Shruti Sharma, Prajwal Nagle, Nandhini M. Sundaram, Vidya Mangala Prasad, Nikhil R. Gandasi

“…Using these probes, we have studied the kinetics of compound exocytosis in human β‐cells. …”
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Investigating uncertainty and parameter sensitivity in bedform analysis by using a Monte Carlo approach by J. Reich, A. Winterscheid

“…We found that bedform parameters reacted with different sensitivity to varying input parameter settings. …”
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Chasing the Beginning of Reionization in the JWST Era by Christopher Cain, Garett Lopez, Anson D’Aloisio, Julian B. Muñoz, Rolf A. Jansen, Rogier A. Windhorst, Nakul Gangolli

“…We find that neither of the late-ending scenarios is strongly disfavored by any single data set. …”
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FPF@FCC: neutrino, QCD, and BSM physics opportunities with far-forward experiments at a 100 TeV Proton Collider by Roshan Mammen Abraham, Jyotismita Adhikary, Jonathan L. Feng, Max Fieg, Felix Kling, Jinmian Li, Junle Pei, Tanjona R. Rabemananjara, Juan Rojo, Sebastian Trojanowski

“…We find that 109 electron/muon neutrinos and 107 tau neutrinos could be detected, an increase of several orders of magnitude compared to (HL-)LHC yields. …”
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Assessing cell lines with inducible depletion of cohesin and condensins components through analysis of metaphase chromosome morphology by A. M. Yunusova, A. V. Smirnov, I. E. Pristyazhnuk, T. A. Shnaider, E. K. Maltseva, S. D.  Afonnikova, O. A. Gusev, N.  R. Battulin

“…The degradation efficiency of the protein of interest was assessed by flow cytometry, Western blotting and metaphase chromosome morphology test. Based on our tests, we showed that the clones we established with the SMC2 degron effectively and completely lose protein function when induced by auxin. …”
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Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning [version 1; peer review: awaiting peer review] by David Garrett Brown, Darwin J. Operario, Lan Wang, Shanrui Wu, Daniel T. Leung, Eric R. Houpt, James A. Platts-Mills, Jie Liu, Ben J. Brintz

“…Methods We used 165,214 qPCR amplification curves from two studies to train and test two eXtreme Gradient Boosting (XGBoost) models. …”
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SkelETT—Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

“…By exposing the model to an extensive corpus of unlabeled human skeleton data, we can effectively learn to represent complex spatial and temporal dependencies inherent in body movements. …”
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Characterizing out-of-distribution generalization of neural networks: application to the disordered Su–Schrieffer–Heeger model by Kacper Cybiński, Marcin Płodzień, Michał Tomza, Maciej Lewenstein, Alexandre Dauphin, Anna Dawid

“…In particular, we show that we can ensure better out-of-distribution (OOD) generalization in the complex classification problem by choosing such an NN that, in the simplified version of the problem, learns a known characteristic of the phase. …”
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Assessing molecular changes underlying isopropylated phenyl phosphate (IPP)-induced larval sensorimotor response deficits in zebrafish by Sunil Sharma, Alfredo Rojas, Abhishek Gour, Rosemaria Serradimigni, Connor Leong, Abhisheak Sharma, Subham Dasgupta

“…Finally, we focused on eye and brains as targets. We dissected eyes and brains from IPP-exposed larvae and conducted 5-mC assessments and mRNA-sequencing. …”
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Gender beliefs and norms underlying intimate partner violence stigma among women living in Botswana: Results of an exploratory factor analysis. by Ari Ho-Foster, Mercilene Tanyaradzwa Machisa, Lorato Ruth Moalusi, Nicola Christofides

“…We used data from a nationally representative sample of 596 women living in Botswana. …”
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Exploring the therapeutic effect of human recombinant IL11 on lesioned OA human osteochondral explants by Margo Tuerlings, Evelyn Houtman, Elisa J.H. Muusers, Janneke Simon, Maurice W. de Haan, Ilja Boone, Yolande F.M. Ramos, Rachid Mahdad, Ingrid Meulenbelt

“…We did not observe significant differences in Mankin scores upon addition of hrIL11. …”
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Association among Blink Rate, Changes in Ocular Surface Temperature, Tear Film Stability, and Functional Visual Acuity in Patients after Cataract Surgery by Takashi Itokawa, Yukinobu Okajima, Takashi Suzuki, Tatsuhiko Kobayashi, Yuto Tei, Koji Kakisu, Yuichi Hori

“…We measured the FVA and blink rate using the FVA measurement system. …”
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A machine learning-based model for predicting paroxysmal and persistent atrial fibrillation based on EHR by Yuqi Zhang, Sijin Li, Peibiao Mai, Yanqi Yang, Niansang Luo, Chao Tong, Kuan Zeng, Kun Zhang

“…Results After screening, we found the optimal variable set consisting of 10 variables. …”
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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

“…Conclusion: We identified seven independent associations present in the ED associated with the decision for surgery. …”
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Scalar Field Kantowski–Sachs Solutions in Teleparallel <i>F</i>(<i>T</i>) Gravity by Alexandre Landry

“…In this paper, we investigate time-dependent Kantowski–Sachs spherically symmetric teleparallel <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mo>(</mo><mi>T</mi><mo>)</mo></mrow></semantics></math></inline-formula> gravity with a scalar field source. …”
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Characterization of tumor evolution by functional clonality and phylogenetics in hepatocellular carcinoma by Zeynep Kacar, Eric Slud, Doron Levy, Julián Candia, Anuradha Budhu, Marshonna Forgues, Xiaolin Wu, Arati Raziuddin, Bao Tran, Jyoti Shetty, Yotsawat Pomyen, Jittiporn Chaisaingmongkol, Siritida Rabibhadana, Benjarath Pupacdi, Vajarabhongsa Bhudhisawasdi, Nirush Lertprasertsuke, Chirayu Auewarakul, Suleeporn Sangrajrang, Chulabhorn Mahidol, Mathuros Ruchirawat, Xin Wei Wang

“…We find that linear evolving HCC is less aggressive than other types. …”
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Set-Word Embeddings and Semantic Indices: A New Contextual Model for Empirical Language Analysis by Pedro Fernández de Córdoba, Carlos A. Reyes Pérez, Claudia Sánchez Arnau, Enrique A. Sánchez Pérez

“…We also show some illustrative examples, including a complete computational case using big-data-based computations. …”
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Unveiling risk factors: a prognostic model of frequent peritonitis in peritoneal dialysis patients by Qi-jiang Xu, Qi-jiang Xu, Zhi-yun Zang, Xue-li Zhou, Xue-li Zhou, Ni-ya Ma, Li Pu, Li Pu, Zi Li

“…We randomly allocated the patients into training set (296 patients) and test set (75 patients) in the ratio of 8:2. …”
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Resilience-oriented passenger subsidy design for taxi travel under pandemic control by Lei Xia, Zhengfeng Huang, Gao Gao, Pengjun Zheng

“…Finally, we construct a taxi travel resilience improvement model. …”
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Coffee, including caffeinated and decaffeinated coffee, and the risk of hepatocellular carcinoma: a systematic review and dose–response meta-analysis by Paul Roderick, Peter Clive Hayes, Julie Parkes, Ryan Buchanan, Oliver John Kennedy, Jonathan Andrew Fallowfield

“…We tested for modification of the effect estimate by HCC aetiology and pre-existing liver disease. …”
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