Computational identification of promising genetic markers associated with molecular mechanisms of reduced rice resistance to <i>Rhizoctonia solani</i> under excess nitrogen fertili... by E. A. Antropova, A. R. Volyanskaya, A. V. Adamovskaya, P. S. Demenkov, I. V. Yatsyk, T. V. Ivanisenko, Y. L. Orlov, Ch. Haoyu, M. Chen, V. A. Ivanisenko

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Optimized actuator design for flapping-wing robots: A multi-objective approach to mimic natural flapping dynamics by Peiqi Li, Zhiwei Ai, Mufan Zhang

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Deep learning in the fog by Andrzej Sobecki, Julian Szymański, David Gil, Higinio Mora

“…It poses a challenge for creating a new generation of fog computing that supports artificial intelligence and selects the architecture appropriate for an intelligent solution. …”
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Medical triage as an AI ethics benchmark by Nathalie Maria Kirch, Konstantin Hebenstreit, Matthias Samwald

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Transhumanism and New Challenges in Political Theories by Matin Anjomrooz, Mohammad Khezri

“…Extended AbstractIntroduction: Transhumanism, which emerged in the 1950s with Julian Huxley’s ideas, is an intellectual and philosophical movement that seeks to enhance human physical, mental, and ethical capacities through advanced technologies such as artificial intelligence, genetic engineering, and nanotechnology. …”
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Enhanced Conformer-Based Speech Recognition via Model Fusion and Adaptive Decoding with Dynamic Rescoring by Junhao Geng, Dongyao Jia, Zihao He, Nengkai Wu, Ziqi Li

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Prediction model for unplanned extubation of thoracoabdominal drainage tube in postoperative inpatients: a retrospective study by Yushu Sun, Xiuping Li, Jia Xu, Xiaojie Zhang, Fanglei Gu, Hongying Pan

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Toolset profiling for rotary draw bending of waveguides by Kudryavtsev Ilya, Kolotov Andrey, Mityaev Alexander

“…Even with the current level of computer performance, taking into account all these external factors, leads to the need to solve the probabilistic problem of a large number of variables, the unambiguous answer of which can currently only be given by approaches based on artificial intelligence. Despite the development and popularity of artificial intelligence methods, this way is still very expensive and long, so we propose a solution based on creating bending conditions that limit unwanted deformation and actually lead to die forming of the product. …”
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Towards Safer Cities: AI-Powered Infrastructure Fault Detection Based on YOLOv11 by Raiyen Z. Rakin, Mahmudur Rahman, Kanij F. Borsa, Fahmid Al Farid, Shakila Rahman, Jia Uddin, Hezerul Abdul Karim

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Image Classification of Chicken Breed and Gender Using Deep Learning by Liuchao Zhu, Zixin Chen, Hanwen Zhang, Yanju Shan, Gaige Ji, Huanliang Xu, Jingting Shu, Junxian Huang

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Guerre intestine ou querelle de clocher ? Le FBI et le NYPD après le 11 septembre 2001 by Ibrahim Bechrouri

“…After 9/11, the NYPD, feeling disarmed and isolated in the face of political violence, created its own counter-terrorism capacity with a division dedicated to intelligence. …”
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A Model-Driven Approach Employing DSL and Generation Templates to Accelerate the Development of Conversational Agents for Smart Tourism by Charaf Ouaddi, Lamya Benaddi, Adnane Souha, Hamza Abdelmalek, Abdeslam Jakimi, Rachid Saadane

“…Conversational agents are intelligent, ubiquitous software applications widely used across various sectors, such as commerce, tourism, and more. …”
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Assessing ChatGPT Responses to Common Patient Questions Regarding Ankle Fractures by Steven Bradley Graefe MD, Noel A. Jeansonne MD, Andrew Meister MD, Paul Juliano MD, Ashlee MacDonald MD, Michael Aynardi MD, Kevin Perry MD

“…Recently, artificial intelligence (AI)-driven chatbots have provided a platform for patient engagement - encompassing various topics ranging from basic skills modules to detailed literature reviews. …”
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Digital Humanities &amp; Large Language Models: Practice and Research in Semantic Retrieval of Ancient Documents by Haoxian WANG, Ziming ZHOU, Feifei DING, Chengfu WEI

“…This part accurately processes the user's search terms through large models to generate extended content and, in conjunction with the search terms, creates accurate semantic vectors. Utilizing the previously constructed vector engine, the model can efficiently retrieve relevant documents and intelligently sort the search results based on specific algorithms, ensuring that users can quickly obtain the most relevant and valuable information. …”
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Feature-Driven Density Prediction of Maraging Steel Additively Manufactured Samples Using Pyrometer Sensor and Supervised Machine Learning by Rajesh Kumar Balaraman, Shaista Hussain, John Kgee Ong, Qing Yang Tan, Nagarajan Raghavan

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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…The objective of the study is to create an algorithm that processes satellite data as input information for the formation and checking of mathematical models of hydrodynamics, which are used to monitor the state of water bodies. …”
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A deep learning model to predict Ki-67 positivity in oral squamous cell carcinoma by Francesco Martino, Gennaro Ilardi, Silvia Varricchio, Daniela Russo, Rosa Maria Di Crescenzo, Stefania Staibano, Francesco Merolla

“…Our research aimed to create a deep-learning model to generate synthetic Ki-67 immunohistochemistry from Haematoxylin and Eosin (H&E) stained images. …”
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PyTomography: A python library for medical image reconstruction by Lucas A. Polson, Roberto Fedrigo, Chenguang Li, Maziar Sabouri, Obed Dzikunu, Shadab Ahamed, Nicolas Karakatsanis, Sara Kurkowska, Peyman Sheikhzadeh, Pedro Esquinas, Arman Rahmim, Carlos Uribe

“…There is a need for open-source libraries in emission tomography that (i) use modern and popular backend code to encourage community contributions and (ii) offer support for the multitude of reconstruction techniques available in recent literature, such as those that employ artificial intelligence. The purpose of this research was to create and evaluate a GPU-accelerated, open-source, and user-friendly image reconstruction library, designed to serve as a central platform for the development, validation, and deployment of various tomographic reconstruction algorithms. …”
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Exploring Biases of Large Language Models in the Field of Mental Health: Comparative Questionnaire Study of the Effect of Gender and Sexual Orientation in Anorexia Nervosa and Buli... by Rebekka Schnepper, Noa Roemmel, Rainer Schaefert, Lena Lambrecht-Walzinger, Gunther Meinlschmidt

“…We adapted each vignette to create 4 versions, describing a female versus male patient living with their female versus male partner (2 × 2 design), yielding 120 vignettes. …”
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A deep learning framework deploying segment anything to detect pan-cancer mitotic figures from haematoxylin and eosin-stained slides by Zhuoyan Shen, Mikaël Simard, Douglas Brand, Vanghelita Andrei, Ali Al-Khader, Fatine Oumlil, Katherine Trevers, Thomas Butters, Simon Haefliger, Eleanna Kara, Fernanda Amary, Roberto Tirabosco, Paul Cool, Gary Royle, Maria A. Hawkins, Adrienne M. Flanagan, Charles-Antoine Collins-Fekete

“…This study presents an artificial intelligence-based approach to detect mitotic figures in digitised whole-slide images stained with haematoxylin and eosin. …”
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