Generating diversity and securing completeness in algorithmic retrosynthesis by Florian Mrugalla, Christopher Franz, Yannic Alber, Georg Mogk, Martín Villalba, Thomas Mrziglod, Kevin Schewior

“…In order to generate a diverse set of synthesis plans for chemists to select from, we capture the concept of diversity in a novel chemical diversity score (CDS). …”
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High survivorship and excellent functional outcome in third‐generation patellofemoral arthroplasty by Mustafa Hariri, Hannah Schwab, Kevin‐Arno Koch, Paul Mick, Timo Nees, Johannes Weishorn, Tilman Walker, Tobias Reiner

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Psychosomatic Complications of Decreased or Impaired Generative Function in General Medical Patients (Review) by V. E. Medvedev

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Structural and Functional Models for Building New Generation Automated and Robotic Dairy Farms by V. V. Kirsanov

“…(Conclusions) The authors developed methods, models, structural and functional schemes for modular construction of new generation automated and robotic dairy farms of various shapes and sizes. …”
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Feasibility and acceptability of switching from a previous-generation to a new-generation mask for positive airway pressure therapy of sleep apnea using remote care by Xueling Zhu, Adam Benjafield, Ross Deas, Leslee Willes, Jeff Armitstead

“…This study investigated the patient's experience when switching from a previous-generation PAP mask to a new-generation mask via remote care. …”
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Health Care Social Robots in the Age of Generative AI: Protocol for a Scoping Review by Paul Notger Lempe, Camille Guinemer, Daniel Fürstenau, Corinna Dressler, Felix Balzer, Thorsten Schaaf

“…ObjectiveWe present a protocol for a scoping review of the literature on the implementation of generative AI in SR in the health care sector. The aim of this scoping review is to map out the intersection of SR and generative AI in the health care sector; to explore if generative AI is applied in SR in the health care sector; to outline which models of generative AI and SR are used for these implementations; and to explore whether user acceptance is reported as an outcome following these implementations. …”
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Monocytes Undergo Functional Reprogramming to Generate Immunosuppression through HIF-1α Signaling Pathway in the Late Phase of Sepsis by Li-Li Li, Bing Dai, Yu-Han Sun, Ting-Ting Zhang

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The analysis of generative adversarial network in sports education based on deep learning by Eerdenisuyila Eerdenisuyila, Hongming Li, Wei Chen

“…Secondly, GAN is employed to construct a model for generating evaluation texts, encompassing the construction of a generator and discriminator, along with the introduction of a reward function. …”
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Second-generation long-acting injectable antipsychotics in schizophrenia: patient functioning and quality of life by Montemagni C, Frieri T, Rocca P

“…Meaningful differences have been observed between SGA-LAIs in the onset of their clinical efficacy and in the relationships between symptoms and functioning scores. Moreover, head-to-head studies comparing the effects of SGA-LAIs on classical measures of psychopathology and functioning are available mainly on risperidone LAI, while those comparing olanzapine LAI with other SGA-LAIs are still lacking. …”
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Direct Conditional Score Modeling for Accelerated MRI Reconstruction by Hongki Lim

“…This paper presents a novel approach called Direct Conditional Score (DCS) modeling that directly models the conditional score function, eliminating the need for separate likelihood terms. …”
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Automatic text generation system for endangered languages based on conditional generative adversarial networks by Zhong Luo

“…The focus is on overcoming challenges associated with discrete data handling in natural language generation by utilizing an improved CGAN model. We introduce a specialized Loss function, based on the MaliGAN model, which directs the discriminator to guide the generator towards producing texts that not only align closely with individual word accuracy but also maintain overall semantic coherence. …”
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The function of ASR-generated live transcription in simultaneous interpreting: trainee interpreters’ perceptions from post-task interviews by Xiaoman Wang, Binhua Wang, Lu Yuan

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Personalized prediction model generated with machine learning for kidney function one year after living kidney donation by Rikako Oki, Toshihio Hirai, Kazuhiro Iwadoh, Yu Kijima, Hiroyuki Hashimoto, Yasunori Nishimura, Taro Banno, Kohei Unagami, Kazuya Omoto, Tomokazu Shimizu, Junichi Hoshino, Toshio Takagi, Hideki Ishida, Toshihito Hirai

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A novel Wasserstein generative adversarial network for stochastic wind power output scenario generation by Xiurong Zhang, Daoliang Li, Xueqian Fu

“…WGAN is optimized to simulate ideal wind power scenarios. The generated data are measured by cumulative distribution function (CDF) and continuously ranked probability score to evaluate the performance of the proposed model. …”
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Erectile Function and Sexual Activity Are Declining in the Younger Generation: Results from a National Survey in Japan by Akira Tsujimura, Shinichiro Fukuhara, Koji Chiba, Tsuyoshi Yoshizawa, Hikaru Tomoe, Masato Shirai, Kazunori Kimura, Eiji Kikuchi, Eri Maeda, Yoshikazu Sato, Atsushi Nagai, Koichi Nagao, Haruaki Sasaki

“…The Japanese Society for Sexual Medicine conducted a nationwide survey on the actual status of sexual function targeting men over 20 years old in Japan using validated questionnaires commonly used in clinical practice. …”

Metagenomic next-generation sequencing assisted in the successful treatment of pneumonia caused by Talaromyces marneffei in an immunocompetent patient by Ling-Yan Ye, Xu-Ling Zhao, Jia-Jia Qin, Jian Lin

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OPERATIONAL RISK MANAGEMENT GENERATED BY THE DIGITALIZATION OF THE BANKING SYSTEM by SLUSARIUC GABRIELA CORINA

“…Although technology can bring considerable improvements in the efficiency of banking activities, it also generates a series of vulnerabilities that require careful and continuous management. …”
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Defect Diagnosis of Photovoltaic Module Visible Light Images Under Imbalanced Sample Conditions by Huiqing Rao, Qiong Li, Long Chen, Sha Jin, Yong Lu, Zhiguang Li

“…Finally, to address the issue of DCGAN generating repeated and similar images, an image similarity measurement function is introduced into the loss function. …”
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Next generation performance status: digital health technologies across the lung cancer continuum by Julia Scarpa, Iqram Hussain, Alex Cheng, Jonathan Villena-Vargas, Richard Boyer

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Compassionate Care with Autonomous AI Humanoid Robots in Future Healthcare Delivery: A Multisensory Simulation of Next-Generation Models by Joannes Paulus Tolentino Hernandez

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