The digital geographies of tact by Mike Duggan

“…It raises questions of how and why digital spaces and practices produce new trajectories for displays of tact in everyday life, how digital spaces modulate our understanding and experiences of touch, as well as asking whether algorithmic decision making technologies such as Artificial Intelligence have a capacity for tact, and what that means for the geographies these systems shape. …”
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Advancing Transportation Routing Decisions Using Riemannian Manifold Surfaces by Emre Tokgöz, Iddrisu Awudu, Saravanan Kuppusamy

“…Finally, we apply MINLP and RMS-based algorithms to a set of real-life and short- and long-distance transportation problems and analyze the results from computational experiments and discrete event simulations. …”
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Significance of individual management plan for the patients with hereditary lymphangioedema during pregnancy and lactation, and in newborns by E. N. Bobrikova, A. R. Denisova, T. S. Kotomina, S. A. Serdotetskova, D. S. Fomina

“…Hereditary angioedema (HAE) is a genetically caused orphan disease with a high risk of developing life-threatening attacks, thus requiring availability for up-to-date information on this problem for the doctors of any specialties. …”
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Discovery of Meaningful Rules by using DTW based on Cubic Spline Interpolation by Luis Alexander Calvo-Valverde, David Elías Alfaro-Barboza

“…The discovery of meaningful rules is achieved through efficient algorithms, equipped with a robust and accurate distance measure. …”
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Electrocardiographic parameters and features of ventricular arrhythmias in various arrhythmogenic cardiomyopathy forms in the pediatric population: a systematic review and meta-ana... by D. Yu. Alekseeva, O. А. Kofeynikova, D. I. Marapov, E. S. Vasichkina

“…Arrhythmogenic cardiomyopathy (ACM) is a rare genetic disease characterized by the development of life-threatening ventricular arrhythmias and impaired ventricular systolic function due to fibrofatty infiltration of the myocardium. …”
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Automated Analysis of Fluorescence Microscopy Images to Identify Protein-Protein Interactions by S. Venkatraman, M. J. Doktycz, H. Qi, J. L. Morrell-Falvey

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Image Based Detection of Coating Wear on Cutting Tools with Machine Learning by Jan Wolf, Nithin Kumar Bandaru, Martin Dienwiebel, Hans-Christian Möhring

“…Detecting coating layer loss is therefore a good indicator of the remaining useful life of the cutting tool. Based on cutting experiments conducted with a TiN/AlTiN-coated cutting tool, an image dataset was generated and pre-processed using multiple algorithms, such as Canny edge detection and Hough line transforms. …”
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Comparative study on the drying mechanisms and characteristic changes of fabrics according to heat transfer principles by Jiyul Lee, Jaeyong Cho, Suhyun Lee

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A New and Efficient Interior Point Method Based on a Weight Vector for Solving LCCO Problems by Nawel Boudjellal, Djamel Benterki

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A New Graph Drawing Scheme for Social Network by Eric Ke Wang, Futai Zou

“…With the development of social networks, people have started to use social network tools to record their life and work more and more frequently. How to analyze social networks to explore potential characteristics and trend of social events has been a hot research topic. …”
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A STUDY OF PEOPLE’S PERCEPTION OF ARTIFICIAL INTELLIGENCE IN FINANCE AND SOCIETY by Dan MITRA, Ioana-Florina COITA

“…Some of the key issues included algorithmic bias, erosion of human oversight, and threats to privacy. …”
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The Impact of Artificial Intelligence Technologies on International Relations by A. D. Korobkov

“…The automation of human activity has been growing every year for the past ten years thanks to AI algorithms, increasing the amount of big data and computing power. …”
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Gender inequality and cardiovascular diseases by S. H. Lilothia

“…Women continue to be hospitalized at later stages of the disease, receive less aggressive medical care, often experience recurrent symptoms of the disease, and have a lower quality of life. Furthermore, sex biased research and significant knowledge gaps still persist. …”
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Treatment of Patients with Rotator Cuff Injuries (Review of Literature) by D. V. Menshova, I. A. Kuklin, N. S. Ponomarenko

“…Among the conservative methods of treatment aimed at reducing pain and improving the quality of life, injections of corticosteroids, hyaluronic acid, and autoplasma therapy are used. …”
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Were weapons of the Normans and Rus' 'alive'? by D.V. Puzanov

“…For example, an enchanted weapon affects the world by means similar to computer algorithms. The magical properties of a weapon could have been determined by the person who made it. …”
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Spatial Causalities in Geographies of Scientific Knowledge by Mahmood Shoorcheh

“…In addition, when we are living in an unprecedented transformation period which transfers the terrestrial spatial causalities to the virtual spatial causalities via intelligent and digital technologies, we should be more aware of the difference that new algorithms make in our daily life through hacking virtual spatial causalities. …”
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Digital preservation and access strategies for overseas Chinese documents: challenges and solutions by Mingwei Tian

“…Abstract The purpose of the study is to propose a framework that summarizes the processing of existing and incoming sources about the life of the overseas Chinese, their historical heritage, and documents. …”
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Reinforcement Learning Applications in Cyber Security: A Review by Murat Gök, Emine Cengiz

“…In the modern age we live in, the internet has become an essential part of our daily life. A significant portion of our personal data is stored online and organizations run their business online. …”
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Artificial intelligence in drug development: reshaping the therapeutic landscape by Sarfaraz K. Niazi, Zamara Mariam

“…In the future, AI is expected to continue to impact pharmaceutical innovation positively, making life-saving drug discoveries faster, more efficient, and more widespread.…”
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Efficient Human Activity Recognition Using Machine Learning and Wearable Sensor Data by Ziwei Zhong, Bin Liu

“…Human activity recognition and monitoring systems offer a powerful means of identifying daily movement patterns, which helps in understanding human behaviors and provides valuable insights for life management. This paper explores the issue of human motion state recognition using accelerometers and gyroscopes, proposing a human activity recognition system based on a majority decision model that integrates multiple machine learning algorithms. …”
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