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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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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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. …”

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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Quality of life of 26 family members from four generations with X-linked hypophosphatemia: a cross-sectional study by Afaf I. Alsagheir, Afaf I. Alsagheir, Bassam Bin-Abbas, Bassam Bin-Abbas, Nujud M. Alghamdi, Raghad T. Alhuthil, Sarah A. Murad, Tala H. Husein, M. Zulf Mughal, Zehour E. Alsabban, Layla M. Almarzoug, Khushnooda Ramzan

“…In 15 adult patients, aged 35–55 years, moderate WOMAC scores for pain, stiffness, and function of hip and knee joints and low 6MWT scores were reported. …”
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Effect of Central Pattern Generators Depended Different Walking Strategies on Gait Ability of Patients after Stroke by Hua WU, Zaihua RU, Congying XU, Xudong GU, Jianming FU

“…The treatment group received rehabilitation robot for lower-limb training, and the control group received functional electrical stimulation (FES) for eight weeks. …”
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TERAPAN MCRNG SEBAGAI GENERATOR ACAK UNTUK GAME by Usman Nurhasan, Bagus Purnomo

“…Most game s are used as a means of entertainment, but can also function as a means of training, education and simulation. …”
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Machine Learning‐Assisted Prediction and Generation of Antimicrobial Peptides by Sukhvir Kaur Bhangu, Nicholas Welch, Morgan Lewis, Fanyi Li, Brint Gardner, Helmut Thissen, Wioleta Kowalczyk

“…In summary, in silico predictive and generative models for functional motif and AMP discovery are powerful tools for engineering highly effective AMPs to combat multidrug resistant pathogens.…”
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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

“…Average daily usage was significantly increased from baseline at day 30 (+0.2 ± 1.2 h/day [p = 0.010]) but not day 90 (+0.1 ± 1.0 h/day [p = 0.126]). Functional Outcomes of Sleep Questionnaire (FOSQ-10) score was significantly higher at day 90 (change from baseline to day 90: +0.48 ± 2.29 [p = 0.015]). …”
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Conditional Generation of Building Bubble Diagrams Based on Stochastic Differential Equations by Zhiwen Wei, Joonki Lee, Hyeongmo Gu, Seungyeon Choo, Jaeil Kim

“…The trained score-based model enables conditional sampling from pure noise to generate new diagrams. …”
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Architectural Gaps in Generative AI: Quantifying Cognitive Risks for Safety Applications by He Wen, Pingfan Hu

“…A methodological framework is developed to examine core AI mechanisms—vectorization, positional encoding, attention scoring, and optimization functions—focusing on how these introduce quantifiable “distances” from human semantic understanding. …”
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Are Requirements Really All You Need? Using LLMs to Generate Configuration Code: A Case Study in Automotive Simulations by Krzysztof Lebioda, Nenad Petrovic, Fengjunjie Pan, Vahid Zolfaghari, Andre Schamschurko, Alois Knoll

“…Can they translate such specifications directly into functional code, or do they still require human guidance and post-processing? …”
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HindwingLib: A library of leaf beetle hindwings generated by Stable Diffusion and ControlNet by Yi Yang, WenJie Li, RuiZe Liu, ChengZhe Wu, Jing Ren, YiShi Shi, SiQin Ge

“…Recently, a machine learning technique called Stable Diffusion has been developed to statistically generate diverse images using a pretrained model with prompts. …”
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Comparison of predicted and actual dermatitis generated from computed tomography images and dose distribution maps by Yasuhide Miyabe, Saori Oshiro, Hiroto Seki, Yusuke Muroi, Eriko Kawashima, Megumi Hosoda, Kento Ohashi, Hiromu Yamanaka, Mingliang Shao, Hiromi Sugawara, Jyunetsu Mizoe, Ritsuko Komaki

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