The impact of hospital competition on healthcare quality: evidence from China’s healthcare reform by Huimin Liu, Junyan Jiang, Liangchun Yu, Xianpeng Liu

“…We employed a two-way fixed effects model to estimate the impact of hospital competition on healthcare quality. …”
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Automatic tag detection in multimedia survey condition by M. Russo, L. Martelli, R. Ravanelli, A. Pini

“…We therefore tested the behaviour of the cameras in a controlled environment, through different depth levels and water motion conditions, and then elaborated a mathematical model of the optical distortion phenomenon encountered. …”
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Methodology for Assessing the Risks of Information Enterprise Security Using Case Technologies by А. V. Gavrilov, V. A. Sizov, E. V. Yaroshenko

“…It is proposed to identify information assets based on the model of business processes of the enterprise, performed using the IDEF0 methodology. …”
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The confirmation of treatment effects in Japanese acupuncture by Benjamin Chant, Jeanne Madison, Paul Coop, Gudrun Dieberg

“…Conclusion: This effect confirmation practice model promotes a system of constant feedback gained by repeated intervention and confirmation. …”
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Using a Bodily Weight-Fat Scale for Cuffless Blood Pressure Measurement Based on the Edge Computing System by Shing-Hong Liu, Bo-Yan Wu, Xin Zhu, Chiun-Li Chin

“…Now, ballistocardiogram (BCG) and impedance plethysmogram (IPG) could be used to perform the cuffless BP measurement. Thus, the aim of this study is to realize edge computing for the BP measurement in real time, which includes measurements of BCG and IPG signals, digital signal process, feature extraction, and BP estimation by machine learning algorithm. …”
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Thermodynamic properties of L-menthol in crystalline and gaseous states by A. V. Blokhin, Ya. N. Yurkshtovich

“…Further, the sublimation enthalpy of L-menthol was calculated using the extended Politzer equation according to the electrostatic potential model.Conclusions. The first comprehensive thermodynamic study of L-menthol in various states of aggregation was performed, and the values calculated using semiempirical methods were consistent with the experimental values within error limits, which confirms the reliability of the results.…”
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A review of the statistical analysis of randomised controlled trials conducted within OCTRU by Alexander Ooms, Caitlin Waldron, Daphne Kounali, Ioana R. Marian, M. Sofia Massa, Nicholas Peckham, Matthew Parkes, Elizabeth Conroy, Jonathan A. Cook

“…General trial information, such as primary disease area, main funding source, sample size, trial design and analysis information (e.g. number of study outcomes and analyses performed), were extracted and summarised. An analysis was defined as any time a statistical model was fit or a corresponding statistical test (e.g. χ 2 test) and/or estimation of a parameter was performed. …”
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Additive manufacturing of continuous carbon fiber reinforced PETG with ultra-high interlaminar shear strength by Wenbo Wang, Yong Hu, Lei Yang, Yudong Lin, Lei Zhou, Jiayun Ma, Bing Liu, Xuan Cai, Chunze Yan, Yusheng Shi, Xiyong Chen

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Machine learning aids in the discovery of efficient corrosion inhibitor molecules by Haiyan GONG, Lingwei MA, Dawei ZHANG

“…Specifically, ML models can extract key information and construct predictive models through feature extraction and pattern recognition using existing data. …”
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Species diversity estimation in a typical tropical forest: which phenological stage and spatial resolution are suitable? by Ping Zhao, Ping Zhao, Ping Zhao, Yuan Zeng, Yuan Zeng, Yuan Zeng, Zhaoju Zheng, Zhaoju Zheng, Cong Xu, Cong Xu, Jinchen Wu, Jinchen Wu, Jinchen Wu, Xuan Mu, Xuan Mu, Xuan Mu, Zhaofu Zhou, Zhaofu Zhou, Zhaofu Zhou, Junhua Chen, Junhua Chen, Junhua Chen, Tao Zhang, Dan Zhao, Dan Zhao, Dan Zhao

“…We constructed stepwise linear regression models for estimating Richness, Simpson, and Shannon-Wiener indices using in-situ species diversity and heterogeneity metrics of spectra and structure. …”
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Exploiting facial side similarities to improve AI-driven sea turtle photo-identification systems by Lukáš Adam, Kostas Papafitsoros, Claire Jean, ALan F. Rees, Vojtěch Čermák

“…In the absence of such training database, a neural network-based local feature method is preferable, but in that case searches should be performed with both the original query image and its horizontally flipped version.…”
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AI in dermatology: a comprehensive review into skin cancer detection by Kavita Behara, Ernest Bhero, John Terhile Agee

“…We analyzed and categorized the articles based on four key dimensions: advantages, difficulties, methodologies, and functionalities. Results AI-based models exhibit remarkable performance in skin cancer detection by leveraging advanced deep learning algorithms, image processing techniques, and feature extraction methods. …”
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Assessing data and sample complexity in unmanned aerial vehicle imagery for agricultural pattern classification by Linara Arslanova, Sören Hese, Marcel Fölsch, Friedemann Scheibler, Christiane Schmullius

“…The study investigates the data and sample complexity required to develop an effective machine/deep learning (ML/DL) model, using techniques such as the Jeffries-Matusita Distance for assessment of class separability and feature importance ranking for feature and layer selection, semivariogram analysis for determining minimum sample patch sizes.The results demonstrate distinct classification capabilities based on spectral information in differentiating between sub-classes such as weed infestation, bare soil, disturbed canopy areas, and undisturbed canopy areas. …”
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Leveraging Partial Labels for Cervical Lesion Classification via a Multilabel Approach by Margaret Dy Manalo, Kota Aoki, Shuqiong Wu, Mariko Shindo, Yutaka Ueda, Yasushi Yagi

“…This refined dataset is then fed to a Vision Transformer, which performs per-class feature extraction and incorporates a part selection module that emphasizes critical areas within the cervigram, while integrating inter-class information within both early and late stages of the model. …”
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Fear of Relapse Scale: Spanish version and psychometric characteristics in a sample of patients with Relapsing-Remitting multiple sclerosis by Y. Broche-Pérez, R.M. Jiménez-Morales, L.O. Monasterio-Ramos, L.A. Vázquez-Gómez, Z. Fernández-Fleites

“…Results: The three-factor model in the CFA yielded a good model fit (χ2/df = 2.25, P < .001, RMSEA = .078, CFI = .91). …”
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Baseline atrial volume indices and major adverse cardiac events following thoracic radiotherapy by Edmund M. Qiao, John He, Katrina D. Silos, Jordan O. Gasho, Patrick Belen, Danielle S. Bitterman, Danielle S. Bitterman, Elizabeth McKenzie, Jennifer Steers, Christian Guthier, Anju Nohria, Michael T. Lu, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Andriana P. Nikolova, Raymond H. Mak, Raymond H. Mak, Katelyn M. Atkins, Katelyn M. Atkins

“…Fine–Gray regression was performed with non-cardiac death as a competing risk. …”
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exoALMA. IV. Substructures, Asymmetries, and the Faint Outer Disk in Continuum Emission by Pietro Curone, Stefano Facchini, Sean M. Andrews, Leonardo Testi, Myriam Benisty, Ian Czekala, Jane Huang, John D. Ilee, Andrea Isella, Giuseppe Lodato, Ryan A. Loomis, Jochen Stadler, Andrew J. Winter, Jaehan Bae, Marcelo Barraza-Alfaro, Gianni Cataldi, Nicolás Cuello, Daniele Fasano, Mario Flock, Misato Fukagawa, Maria Galloway-Sprietsma, Himanshi Garg, Cassandra Hall, Andrés F. Izquierdo, Kazuhiro Kanagawa, Geoffroy Lesur, Cristiano Longarini, Francois Menard, Ryuta Orihara, Christophe Pinte, Daniel J. Price, Giovanni Rosotti, Richard Teague, Gaylor Wafflard-Fernandez, David J. Wilner, Lisa Wölfer, Hsi-Wei Yen, Tomohiro C. Yoshida, Brianna Zawadzki

“…To provide a robust characterization of the observed substructures, we performed a visibility space analysis of the continuum emission from the exoALMA data, characterizing axisymmetric substructures and nonaxisymmetric residuals obtained by subtracting an axisymmetric model from the observed data. …”
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Prion protein fragment (106–126) activates NLRP3 inflammasome and promotes platelet-monocyte/neutrophil interactions, potentially contributing to an inflammatory state by Rashmi Verma, Jyotsna Kailashiya, Avijit Mukherjee, Rameshwar Nath Chaurasia, Debabrata Dash

“…IntroductionPrion diseases are neurodegenerative disorders where infectious prion proteins (PrP) featuring an amyloidogenic amino acid sequence, PrP (106–126), accumulate in the brain leading to neuroinflammation while it can also access circulation by breaching the blood-brain barrier. …”
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Swelling Behavior, Biocompatibility, and Controlled Delivery of Sodium–Diclofenac in New Temperature-Responsive P(OEGMA/OPGMA) Copolymeric Hydrogels by Zorana Rogic Miladinovic, Maja Krstic, Edin Suljovrujic

“…To achieve these objectives, we conducted swelling behavior analysis across a wide range of temperatures, assessed the pH sensitivity of hydrogels, utilized scanning electron microscopy for morphological characterization, performed in vitro biocompatibility assessment through cell viability and hemolysis assays, and employed diclofenac sodium as a model drug to control drug delivery testing. …”
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Shape morphing of additively manufactured metallic kinematic structures to trace single- and doubly-curved surfaces by Pier H. de Jong, Vahid Moosabeiki, Marius A. Leeflang, Mohammad J. Mirzaali, Amir A. Zadpoor

“…Simulations using a multibody kinematics model show that parameters such as unit cell shape, dimension ratios, and substrate curvature affect the shape-matching abilities of the structure. …”
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