Art, community and AI: images for an affective memory by Jacob Bañuelos Capistrán, Diego Zavala Scherer, Nohemí Lugo Rodríguez

“…The findings demonstrate the significant potential for expanding generative AI applications toward emotional repair, memory reinvention, and transformation of established sentiment structures, introducing the original concepts of “algorithmic postmemory” as a framework for understanding AI’s active role in memory construction and “affective symbolic documentalism” for comprehending the testimonial value of AI-generated imagery. …”
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Implementation status of European guidelines on trauma management of prehospital bleeding control: a national survey in Austria by Julia Doescher, Sibylle Langenecker

“…Prehospital setting plays a critical role, with bleeding control being a primary focus. …”
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Leveraging artificial intelligence as a learning tool in higher education by Mncedisi Christian Maphalala, Oluwatoyin Ayodele Ajani

“…These concerns include data privacy, algorithmic bias, intellectual property rights, and academic integrity. …”
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Price as Underestimated Parameter of the System of Providing Economic Security in the Country by A. V. Kovalev, L. N. Orlova

“…These technologies should foster conducting analysis and risk estimation by using information and software means of the new system, including systems of controlling databases, the system of fast development of algorithms for information analysis and system and applied software. …”
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Automatic Speech Recognition Training Software for Joint Terminal Attack Controller Close Air Support Requests by Logan Gisick, Henry Phillips, Charles Newton

“…Using SoarTech’s SpeechZero ASR software, an individual speaks their 9-line request into a tablet or smartphone which will parse the speech and use AI algorithms to categorize it within the 9-line framework. …”
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Methodological Basis and Experience of Using Data Mining Methods in Trade by D. T. Kaiyp, M. G. Zhartybayeva, Zh. O. Oralbekova

“…Since financial activity is closely related to our social life, the use of data mining methods plays an essential role in the analysis and forecasting of the financial market in the modern era of big data. …”
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Intelligent Processing Methods by Veronika V. Tolmanova, Denis A. Andrikov

“…Nowadays, in the era of information technology, intelligent data processing methods play an important role in various spheres of life. These methods, together with modern algorithms and computer models, allow extracting valuable information from huge volumes of raw data, as well as analyzing and forecasting various phenomena and trends. …”
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Post COVID-19 Conditions and Neurocognitive Impairment—Current Findings and Clinical Implications by Tarek Jebrini, Michael Ruzicka, Hans Stubbe, Kristina Adorjan

“…This perspective emphasizes the need for evidence-based diagnostic algorithms that integrate both subjective and objective NCI, explicitly addressing the risk of stigmatization. …”
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Reconstruction of Scalp Defects with Rotational Flaps: Where Is the Limit? by Konstantinos Seretis, Nikos Bounas, Efstathios G. Lykoudis

“…The aim of this study is to present the indications, and versatile use of rotational flaps in scalp reconstructive surgery, guided by an algorithmic approach and exemplified by numerous clinical applications. …”
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Identification of Disulfidptosis-Related Genes and Molecular Subgroups in Rheumatoid Arthritis for Diagnostic Model and Patient Stratification by Liu X, Wang S, Du X, Wang Y, Mo L, Li H, Qu Z, Wang X, Sun J, Li Y, Wang J

“…The machine learning algorithms were used to identify the hub genes. Second, a diagnostic model was constructed for RA based on the hub genes. …”
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Novel exosome-associated LncRNA model predicts colorectal cancer prognosis and drug response by Chi Zhou, Qian Qiu, Xinyu Liu, Tiantian Zhang, Leilei Liang, Yihang Yuan, Yufo Chen, Weijie Sun

“…Aims Using genomic data from the TCGA-CRC cohort, we constructed a prognostic model based on exosome-related lncRNA for the first time, and the biological role of MIR4713HG in CRC was deeply analyzed. …”
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Identifying potential biomarkers and molecular mechanisms related to arachidonic acid metabolism in vitiligo by Xiaoqing Li, Xiaoqing Li, Li Yang, Longfei Zhu, Jingying Sun, Jingying Sun, Cuixiang Xu, Cuixiang Xu, Lijun Sun, Lijun Sun

“…Machine-learning algorithms were used to identify six key genes as PTGDS, PNPLA8, FAAH, ABHD12, PTGS1, and MGLL. …”
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Artificial intelligence assisted risk prediction in organ transplantation: a UK Live-Donor Kidney Transplant Outcome Prediction tool by Hatem Ali, Arun Shroff, Tibor Fülöp, Miklos Z. Molnar, Adnan Sharif, Bernard Burke, Sunil Shroff, David Briggs, Nithya Krishnan

“…In general terms we show how the new AI and ML tools can have a role in developing effective and equitable healthcare.…”
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Providing a Robust Dynamic Pricing Model and Comparing It with Static Pricing in Multi-level Supply Chains Using a Game Theory Approach by Sara Mehrjoo, Hanan Amoozad Mahdirji, Jalil Heidary Dahoei, Seyyed Hossein Razavi Haji Agha, Mahnaz Hosseinzadeh

“…For data analysis, a genetic algorithm, particle accumulation optimization, and MATLAB software were employed. …”
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Decoding the diagnostic biomarkers of mitochondrial dysfunction related gene variants in pediatric T cell acute lymphoblastic leukemia by Yunfeng Lu, Xi Yang, Liying Liu, Xiaojun Sun, Xiuli Li, Ping Zhao, Guotao Guan, Yunpeng Dai

“…Therefore, the primary objective of this study is to elucidate the role of mitochondrial dysfunction-related differentially expressed genes (MDRDEGs) in pediatric T-ALL and to establish a diagnostic model based on the MDRDEGs. …”
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A Review Toward Deep Learning for High Dynamic Range Reconstruction by Gabriel de Lima Martins, Josue Lopez-Cabrejos, Julio Martins, Quefren Leher, Gustavo de Souza Ferreti, Lucas Hildelbrano Costa Carvalho, Felipe Bezerra Lima, Thuanne Paixão, Ana Beatriz Alvarez

“…The fundamental role of high-quality datasets and specific metrics in evaluating the performance of HDR algorithms is also discussed, as well as emphasizing the challenges inherent in capturing multiple exposures and dealing with artifacts. …”
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Fine-Tuning Retrieval-Augmented Generation with an Auto-Regressive Language Model for Sentiment Analysis in Financial Reviews by Miehleketo Mathebula, Abiodun Modupe, Vukosi Marivate

“…Supervised learning algorithms have been popularly employed for this task, but the performance of these models has been compromised due to the brevity of the content and the presence of idiomatic expressions, sound imitations, and abbreviations. …”
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Unveiling nature's secrets: Deep learning for enhanced biogenic emission resolution by Antonio Giganti

“…Consequently, many existing BVOC emission maps may not be fully suitable for reliable atmospheric, climate, and forecasting model simulations.My research aims to explore and assess the use of novel AI-based algorithms to improve the spatiotemporal modeling of BVOC emissions. …”
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Integrative Analysis of Neutrophil-Associated Genes Reveals Prognostic Significance and Immune Microenvironment Modulation in Cervical Cancer by Ting Hu, Haijing Wu, Xinghan Cheng, Haoyue Gao, Min Yang

“…<b>Background:</b> Tumour-associated neutrophils play an important role in tumour progression and immunomodulation. …”
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PIC2O-Sim: A physics-inspired causality-aware dynamic convolutional neural operator for ultra-fast photonic device time-domain simulation by Pingchuan Ma, Haoyu Yang, Zhengqi Gao, Duane S. Boning, Jiaqi Gu

“…Directly applying off-the-shelf models to predict the optical field dynamics shows unsatisfying fidelity and efficiency since the model primitives are agnostic to the unique physical properties of Maxwell equations and lack algorithmic customization. In this work, we thoroughly investigate the synergy between neural operator designs and the physical property of Maxwell equations and introduce a physics-inspired AI-based FDTD prediction framework PIC2O-Sim. …”
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