Missing Mechanisms of Manipulation in the EU AI Act by Matija Franklin, Hal Ashton, Rebecca Gorman, Stuart Armstrong

“…This article takes the perspective of cognitive psychology to analyze and understand what algorithmic manipulation consists of, who vulnerable individuals may be, and what is considered as harm. …”
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High-risk AI transparency? On qualified transparency mandates for oversight bodies under the EU AI Act by Kasia Söderlund

“… The legal opacity of AI technologies has long posed challenges in addressing algorithmic harms, as secrecy enables companies to retain competitive advantages while limiting public scrutiny. …”
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Challenging the Selfie: Perfect Skin by Chatonsky by Claire Larsonneur

“…These distorted and serialised images, “organes sans corps” to take up Deleuze’s famous concept, may pertain to a regime of meaning based on affect, as defined by Brian Massoumi, rather than on mimesis.…”
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Forward first: Joystick interactions of toddlers during digital play. by Kimberly A Ingraham, Heather A Feldner, Katherine M Steele

“…While touch screens are a popular interaction modality for children under the age of three, they may not be appropriate for all children or all tasks. …”
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Expose flexible conformations for intrinsically disordered protein by Jiaan Yang, Wenxin Ji, Wen Xiang Cheng, Gang Wu, Si Tong Sheng, Peng Zhang, Jun Lin, Xiaojia Chen, Qiong Shi

“…The folding conformation of native protein has flexibility in different degrees, which may bring difficulty in presenting the structures, and also it causes complexity in understanding the relationship between structure and functions. …”
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RGB-based machine vision for enhanced pig disease symptoms monitoring and health management: a review by Md Nasim Reza, Kyu-Ho Lee, Eliezel Habineza, Samsuzzaman, Hyunjin Kyoung, Young Kyoung Choi, Gookhwan Kim, Sun-Ok Chung

“…Machine vision and image processing algorithms enable for the real-time detection of subtle changes in pig appearance and behavior that may signify potential health issues. …”
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Advancements in Medical Radiology Through Multimodal Machine Learning: A Comprehensive Overview by Imran Ul Haq, Mustafa Mhamed, Mohammed Al-Harbi, Hamid Osman, Zuhal Y. Hamd, Zhe Liu

“…By extracting novel characteristics from diverse medical data sources, advanced identification techniques known as multimodal learning may be applied, enabling algorithms to analyze data from various sources and eliminating the need to train each modality. …”
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Climate change will alter Amazonian bumblebees’ distribution, but effects are species-specific by Patrícia Nunes-Silva, André Luis Acosta, Rafael Cabral Borges, Breno Magalhães Freitas, Ricardo Caliari Oliveira, Tereza Cristina Giannini, Vera Lucia Imperatriz-Fonseca

“…This study focuses on two poorly known species, Bombus brevivillus and Bombus transversalis, evaluating how future climate scenarios may alter their suitable habitats in the Brazilian Amazon. …”
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Recovering Pulsar Periodicity from Time-of-arrival Data by Finding the Shortest Vector in a Lattice by Dotan Gazith, Aaron B. Pearlman, Barak Zackay

“…Identifying such a periodicity from a discrete set of arrival times is a difficult algorithmic problem, In particular when the pulsar is in a binary system. …”
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His bundle pacing: a new look at the method by N. A. Prikhodko, T. A. Lyubimtseva, S. V. Gureev, V. K. Lebedeva, D. S. Lebedev

“…HBP is a promising direction in cardiology, which in the future may fundamentally change the algorithms for managing patients with heart failure and conduction disorders.…”
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Genetic and bioinformatics analysis of an individual with Am phenotype due to variant of A-glycosyltransferase enzyme gene by ZHANG Xu, ZHOU Zhuren, HUANG Xuying, LI Lichun, LI Xiaofeng, LI Jianping

“…Meanwhile, modeling of the 3D structure predicted that the p.S304R amino acid substitution may alter the hydrogen bond of the GTA protein. …”
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An in-depth exploration of the association between olanzapine, quetiapine and acute pancreatitis based on real-world datasets and network toxicology analysis by Shuang Wang, Liying Song, Yuanjie Sun, Haonan Zhou, Jia Yao

“…Network toxicology analysis suggested that the toxic effects of olanzapine and quetiapine may be related to their hub genes.…”
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Machine Learning in Maritime Safety for Autonomous Shipping: A Bibliometric Review and Future Trends by Jie Xue, Peijie Yang, Qianbing Li, Yuanming Song, P. H. A. J. M. van Gelder, Eleonora Papadimitriou, Hao Hu

“…Through the review, we found that maritime safety machine learning methods are evolving toward a systematic and comprehensive direction, and the integration with AI and human interaction may be the next bellwether. Future research will concentrate on three main areas: evolving safety objectives towards proactive management and autonomous coordination, developing advanced safety technologies, such as bio-inspired sensors, quantum machine learning, and self-healing systems, and enhancing decision-making with machine learning algorithms such as generative adversarial networks (GANs), hierarchical reinforcement learning (HRL), and federated learning. …”
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The role of LAMA5 in breast cancer progression and its potential in immunotherapy by Xiaoli Zhang, Hongfang Yan, Lihan Bie, Zheng Xu, Xiaoyang Yao, Zhilan Li, Chengshan He, Zhouhong Xiang, Xiudi Jiang

“…Immune-related analyses suggested that LAMA5 may influence immune cell infiltration and contribute to immune microenvironment remodeling. …”
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Optimal treatment strategies in comorbid patients with hypertension and dyslipidemia: the role of fixed-dose combinations by A. A. Sokolova, D. A. Napalkov

“…The priority is both to achieve target blood pressure and low-density lipoprotein levels and to maximize the impact on cardiovascular prognosis and outcomes. Of course, these algorithms are not mandatory, and in a specific clinical situation there may be any deviations even from standard treatment regimens as follows: an alternative decision of a practitioner, intolerance to therapy, special indications, and much more. …”
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Teaching triage in disaster medicine – same subject, but different approach by Amir Khorram-Manesh

“…These differences are characterized by the number of victims, available resources, and environmental factors that may jeopardize the safety of victims and healthcare providers. …”
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The Effect of Derived Features on Art Genre Classification with Machine Learning by Didem Abidin

“…Although this process was used to be done by art experts before, now artificial intelligence techniques may help people manage this classification task. …”
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Procedimiento administrativo e inteligencia artificial by Roberto González de Zárate Lorente

“…Specifically, we start with some brief preliminary considerations on the subject of AI, and after a reference to the current legal regime, we will look at the administrative procedure: the need to articulate the necessary guarantees, in particular, human supervision, in order to minimize the risks that the use of algorithms and AI may entail, and the possibility of using them in the administrative procedure. …”

Analyzing Satellite Imagery to Target Tuberculosis Control Interventions in Densely Urbanized Areas of Kigali, Rwanda: Cross-Sectional Pilot Study by Mauro Faccin, Caspar Geenen, Michiel Happaerts, Sien Ombelet, Patrick Migambi, Emmanuel André

“…However, our results suggest that analyzing satellite imagery may allow the identification of urban areas where inhabitants are at higher risk of TB. …”
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CLINICAL AND LABORATORY ASPECTS OF DETECTING SPECIFIC IgE ANTIBODIES TO COW’S MILK AND ITS COMPONENTS by N. A. Alkhutova, N. A. Kovyazina, O. L. Zhizhina

“…Clinical signs of the milk allergy are non-specific, and they may be pronounced or expressed in mild form, thus enabling hypodiagnistics of this disorder. …”
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