Trophic ulcers-Practical management guidelines by Vinita Puri, N Venkateshwaran, Nishant Khare

“…Cross references from these articles were also reviewed. Based on these articles and the authors′ experiences algorithms for management have been presented to facilitate easier understanding. …”
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Error Analysis of Sound Source Directivity Interpolation Based on Spherical Harmonics by Adam SZWAJCOWSKI, Daniel KRAUSE, Anna SNAKOWSKA

“…This paper discusses the interpolation error for different algorithms with emphasis on the one based on spherical harmonics. …”
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Precision Reconstruction of Rational Conformal Field Theory from Exact Fixed-Point Tensor Network by Gong Cheng, Lin Chen, Zheng-Cheng Gu, Ling-Yan Hung

“…Our results also open a new door toward understanding CFT in higher dimensions.…”
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Deep learning-based multimodal trajectory prediction methods for autonomous driving: state of the art and perspectives by Jun HUANG, Yonglin TIAN, Xingyuan DAI, Xiao WANG, Zhixing PING

“…Although deep learning methods have achieved better results than traditional trajectory prediction algorithms, there are still problems such as information loss, interaction and uncertainty difficulties in modelling, and lack of interpretability of predictions when implementing multimodal high-precision prediction for autonomous vehicles in heterogeneous, highly dynamic and complex changing environments.The newly developed Transformer's long-range modelling capability and parallel computing ability make it a great success not only in the field of natural language processing, but also in solving the above problems when extended to the task of multimodal trajectory prediction for autonomous driving.Based on this, the aim of this paper is to provide a comprehensive summary and review of past deep neural network-based approaches, in particular the Transformer-based approach.The advantages of Transformer over traditional sequential network, graphical neural network and generative model were also analyzed and classified in relation to existing challenges, simultaneously.Transformer models can be better applied to multimodal trajectory prediction tasks, and that such models have better generalisation and interpretability.Finally, the future directions of multimodal trajectory prediction were presented.…”
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Narratives, Frontier Technologies, and the Law (Part II): Towards a Feminist Turn in Law and Technology by Syamsuriatina binti Ishak, Henrique Marcos

“…Through analyses of artificial intelligence, genome editing, algorithmic moderation, and user-generated content in video games, the authors show that law is not merely reactive to technological innovation but also actively constructs and contests the narratives that define what is possible, permissible, and just. …”
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Pharmacotherapeutic Options for Ophthalmic Conjunctivitis by A. D. van Eyk

“…Herpes simplex and Herpes zoster are the infective organisms also responsible for conjunctivitis while seasonal pollens are usually the cause for allergic conjunctivitis. …”
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<b>The investigation of commonalities in human brain semantic representations across people and across languages</b><br> by Augusto Buchweitz

“…These patterns allow computer algorithms to identify the brain activity associated with a specific word or picture. …”
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Spatial Causalities in Geographies of Scientific Knowledge by Mahmood Shoorcheh

“…This means that the development of innovative knowledge and ideas take place not only within a spatial context but also occur due to the spatial causalities associated with the myriad interlinkages and interdependencies among places. …”
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Grammar Practices in the Digital World by Mária Csernoh, Attila Imre

“…eaching and protecting Hungarian language and cultural values have become more and more challenging due to the fast spread of uncontrollable digital platforms In their text-based digital products (e-mail, chat, blog, etc), youngsters prefer elliptical expressions (digital slang) to grammatically correct sentences Schools, course books offer a wide variety of opportunities to practise grammar, but students find these exercises rather boring and consider them as school chores As students live in the digital world, teachers should consider alternatives to offering exclusively classical, paper-based exercises The present work provides a subject-integrated approach, where paper-based course book tasks are converted into data management problems to practise grammar This novel approach may enable students to become more engaged not only in solving the original grammar problems but also in finding digital solutions Building algorithms helps them understand grammar rules, as well as differences between handwritten and computer-stored characters It is also stipulated that our approach is open to generalization and suitable to solve similar problems in languages other than Hungarian.…”
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Research on Credit Risk Prevention in Supply Chain Finance Driven by Blockchain by Lin Kejing

“…This paper aims to explore how blockchain technology can be utilized to mitigate and control credit risk in supply chain finance. It will also detail the principles and characteristics of blockchain technology, including its decentralized architecture, encryption algorithms, resistance to tampering, smart contract functionalities, and more. …”
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Algoriths and Procedures for Investment Audit Using a Risk-Based Approach by V. А. Yakimova, S. V. Pankova

“…The result of the study was the definition of factors influencing management decisions in investment; audit tasks and regulatory regulations for each stage of the investment project; methods used for investment audit and internal control. Also, in the work’s course, the authors developed algorithms, methods and principles for checking assumptions (as components of the investment audit methodology). …”
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Enhancing Autonomous Vehicle Safety with Blockchain Technology: Securing Vehicle Communication and AI Systems by Stefan Iordache, Catalina Camelia Patilea, Ciprian Paduraru

“…By integrating blockchain with AI-based predictive algorithms, this approach aims to secure vehicle peer-to-peer communication, reduce traffic congestion, and improve safety for drivers and pedestrians. …”
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Pharmacotherapeutic Options for Ophthalmic Conjunctivitis by A. D. van Eyk

“…Herpes simplex and Herpes zoster are the infective organisms also responsible for conjunctivitis while seasonal pollens are usually the cause for allergic conjunctivitis. …”
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PECULIARITIES OF VOCABULARY CONSTRUCTION IN THE ASSOCIATIVE-METAPHORIC DICTIONARY OF THE RUSSIAN LANGUAGE DESIGNED FOR THE NEEDS OF AUTOMATED TEXT PROCESSING SYSTEMS (AMD-ATPS) by Nikolai Golovko

“…The article presents an analysis of the head words parameters of a special associative-metaphoric dictionary designed to meet the actual needs of analytical algorithms of automated text processing systems, and on the basis of this analysis criteria for selecting lexical units into its vocabulary are formulated. …”
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Backup with Storage in a Database by S. M. Taranin

“…The information of retained files and folders can be stored also on the client side in a hierarchical structure. …”
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Analyses and Encryption Implementation of a New Chaotic System Based on Semitensor Product by Rui Wang, Peifeng Du, Wenqi Zhong, Han Han, Hui Sun

“…The corresponding dynamic characteristics of the new system are discussed in this paper to verify the existences of different attractors. The detailed algorithms are illustrated in this paper. The FPGA hardware encryption implementations are also elaborated and conducted. …”
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Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models—an empirical analysis of Indian patient liver disease datasets by Ritu Rani, Garima Jaiswal, Nancy, Lipika, Shashi Bhushan, Fasee Ullah, Prabhishek Singh, Manoj Diwakar, Manoj Diwakar

“…We have also designed a hybrid model which involves the combination of Recursive Feature Elimination (RFE) for feature selection, SMOTE-ENN to tackle the problem of data imbalance and Ensemble learning for enhanced predictions.ResultsThe research work also proposed Hybrid Ensemble model on the ILPD and BUPA Liver Disorder Dataset. …”
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Heart Rate Detection and Classification from Speech Spectral Features Using Machine Learning by Mohammed USMAN, Mohammed ZUBAIR, Zeeshan AHMAD, Monji ZAIDI, Thafasal IJYAS, Muneer PARAYANGAT, Mohd WAJID, Mohammad SHIBLEE, Syed Jaffar ALI

“…Binary classification of heart rate as ‘normal’ or ‘abnormal’ is also achieved with 100% accuracy. A comparison of machine learning algorithms in terms of heart rate estimation and classification accuracy is also presented. …”
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Hybrid and Relaxed Mann Iterations for General Systems of Variational Inequalities and Nonexpansive Mappings by L. C. Ceng, A. E. Al-Mazrooei, A. A. N. Abdou, A. Latif

“…Under suitable assumptions, we derive some strong convergence theorems for hybrid and relaxed Mann iteration algorithms not only in the setting of uniformly convex and 2-uniformly smooth Banach space but also in a uniformly convex Banach space having a uniformly Gateaux differentiable norm. …”
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Machine Learning for FPGA Electronic Design Automation by Armando Biscontini, E. Popovici, A. Temko

“…As FPGA capacity expands, the EDA tools must also scale to handle larger, denser digital systems, and ML offers to fill the gap with resulting computational efficiency and improved solution quality. …”
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