HIstorical aspects of surgical treatment for colorectal cancer (literature review) by A. V. Dmitriev, V. S. Groshilin, A. V. Smolkina, L. S. Afunts, M. A. Kozyrevskiy, A. A. Uryupina

“…This period encompasses many stages associated not only with the investigation of topographic and anatomical features and improvement of surgical techniques, but also with the implementation of modern medical equipment. …”
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Multidrug-resistant Klebsiella pneumoniae and Klebsiella variicola isolated from patients in Portuguese hospitals: Genomic and phenotypic characterization by Joana Castro, Daniela Araújo, Hugo Oliveira, Liliana Fernandes, Ricardo Oliveira, Erick Brinks, Gyu-Sung Cho, Charles Franz, Maria José Saavedra, Sónia Silva, Carina Almeida

“…The emergence of antibiotic-resistant Klebsiella spp. has become a huge problem in clinical settings. In this study, we aimed to characterize the molecular and phenotypic features of 21 MDR Klebsiella isolates (n = 19 of K. pneumoniae, and n = 2 of K. variicola) isolated from patients admitted to two central hospitals in northern Portugal by using whole-genome sequencing (WGS), followed by an in vitro assessment of biofilm formation and in vivo evaluation of the pathogenicity in a Galleria mellonella larval model. …”
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A Simple but Effective Way to Handle Rotating Machine Fault Diagnosis With Imbalanced-Class Data: Repetitive Learning Using an Advanced Domain Adaptation Model by Donghwi Yoo, Minseok Choi, Hyunseok Oh, Bongtae Han

“…This is usually true even when healthy data are abundant, leading to the problem of class imbalance. Numerous solutions have been proposed to cope with the problem of class imbalance; each solution has its own advantages and disadvantages in implementation. …”
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Hierarchical Fusion of Infrared and Visible Images Based on Channel Attention Mechanism and Generative Adversarial Networks by Jie Wu, Shuai Yang, Xiaoming Wang, Yu Pei, Shuai Wang, Congcong Song

“…In order to solve the problem that existing visible and infrared image fusion methods rely only on the original local or global information representation, which has the problem of edge blurring and non-protrusion of salient targets, this paper proposes a layered fusion method based on channel attention mechanism and improved Generative Adversarial Network (HFCA_GAN). …”
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A Terrain-Aided Navigation Method Incorporating Terrain Matching and Terrain Suitability Analysis by Gang Fan, Xiaojin Liu, Yun Li, Jia Li, Yan Han, Long He, Pengyun Chen

“…This study attempts to use a deep learning model to deal with the terrain matching problem and terrain suitability analysis problem in the dimension of abstract features using a unified feature encoder. …”
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Deformation Monitoring Systems for Hydroturbine Head-Cover Fastening Bolts in Hydroelectric Power Plants by Eddy Yujra Rivas, Alexander Vyacheslavov, Kirill V. Gogolinskiy, Kseniia Sapozhnikova, Roald Taymanov

“…The implementation of a self-checking function (including metrological features), the development of a digital twin of the sensor, and the application of technologies based on artificial intelligence could solve this problem.…”
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Scaffolds for Growth Factor Delivery as Applied to Bone Tissue Engineering by Keith A. Blackwood, Nathalie Bock, Tim R. Dargaville, Maria Ann Woodruff

“…Tissue engineering seeks to offer a solution to this problem. The primary requirements for tissue-engineered scaffolds have already been well established, and many materials, such as polyesters, present themselves as potential candidates for bone defects; they have comparable structural features, but they often lack the required osteoconductivity to promote adequate bone regeneration. …”
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Turnout Fault Diagnosis through Dynamic Time Warping and Signal Normalization by Shize Huang, Fan Zhang, Rongjie Yu, Wei Chen, Fei Hu, Decun Dong

“…We firstly extract the features of normal turnout operation current curve and normalize the collected turnout current curves. …”
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Deep Neural Framework With Visual Attention and Global Context for Predicting Image Aesthetics by Yifei Xu, Nuo Zhang, Pingping Wei, Genan Sang, Li Li, Feng Yuan

“…In this paper, we propose a deep neural framework with visual attention module, self-generated global features and hybrid loss to address this problem. Specifically, the framework can be any state-of-the-art convolution classification network compatible with visual attention. …”
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Research on Remaining Useful Life Prediction of Control Rod Drive Mechanism Rotor Components in Floating Nuclear Reactor by Liming Zhang, Chen Wang, Ling Chen, Tian Tan, Luqi Liao

“…At the same time, the time-frequency domain feature analysis is carried out on the original vibration data, and the changing trends of the extracted features are carefully analyzed. …”
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Enhancing python learning with PyTutor: Efficacy of a ChatGPT-Based intelligent tutoring system in programming education by Albert C.M. Yang, Ji-Yang Lin, Cheng-Yan Lin, Hiroaki Ogata

“…PyTutor utilizes the ChatGPT model to offer continuous guidance, problem-solving hints, and detailed code explanations. …”
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Biodegradation of olive mill wastewater by two bacterial strains by Angeliki Zavra, Evangelos Hatzigiannakis, Efstathios K. Oikonomou, Athanasios Guitonas

“…Wastewater from olive mill is a by-product of olive oil production, that is a serious environmental problem in many Mediterranean countries. The production of large quantities of waste in a short period of time together with the high organic load and high toxicity of the waste make it difficult to deal with the problem. …”
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Dual Attention Equivariant Network for Weakly Supervised Semantic Segmentation by Guanglun Huang, Zhaohao Zheng, Jun Li, Minghe Zhang, Jianming Liu, Li Zhang

“…In this paper, we propose a dual attention equivariant network (DAEN) model to address this problem by considering both channel and spatial information of different feature maps. …”
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Surface Defect Detection Algorithm for Wind Turbine Blades Based on HSCA-YOLOv7 by Bing LI, Yunshan BAI, Kuan ZHAO, Congbin GUO, Yongjie ZHAI

“…Hybrid spatial channel attention (HSCA) is proposed to capture the global visual scene context, increase the semantic difference between target features and the environment, and solve the problem of inconsistent defect scales in blade images. …”
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Degradation Prediction of Proton Exchange Membrane Fuel Cell Based on Multi-Head Attention Neural Network and Transformer Model by Yikai Tang, Xing Huang, Yanju Li, Haoran Ma, Kai Zhang, Ke Song

“…This study adopts a data-driven approach to construct a degradation prediction model. In view of the problem of many input parameters and complex distribution of degradation features, a neural network model based on a multi-head attention mechanism and class token is first proposed to analyze the impact of different operating parameters on the output voltage prediction. …”
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Developing an intuitive decision support system for equitable vaccine distribution during pandemics by Lise Boey, Hossein Baharmand, Ross Owen Phillips, Nico Vandaele, Burcu Balcik, Jan Ove Kjøndal, Asle Birkeland, Håvard Fossli, Naima Saeed, Catherine Decouttere

“…We combine a stakeholder-informed systems approach for problem definition with a user-centered design approach for DSS development. …”
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COMPARATIVE PARADIGM IN WORKS OF Y. BOYKO-BLOKHYN: APPROACHES “INTERWEAVING AND INTERCROSSING” by Olga B. Teterina

“…Boyko-Blokhyn on the problem of Slavic literatures comparative study, while witnessing the author’s inherent interest in national identity problem, emphasized and deepened research of Slavic, specifically East Slavic, literatures as a fundamental component of the European cultural space. …”
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Text classification by CEFR levels using machine learning methods and BERT language model by Nadezhda S. Lagutina, Ksenia V. Lagutina, Anastasya M. Brederman, Natalia N. Kasatkina

“…Determining the level of text in natural language is an important component of assessing students knowledge, including checking open tasks in e-learning systems. To solve this problem, vector text models were considered based on stylometric numerical features of the character, word, sentence structure levels. …”
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AI Painting Effect Evaluation of Artistic Improvement with Cross-Entropy and Attention by Yihuan Tian, Shiwen Lai, Zuling Cheng, Tao Yu

“…Meanwhile, MCASVM directly handles the multi-classification problem in the established dataset by introducing multiple SVMs. …”
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Challenges in making standardisation work in healthcare: lessons from a qualitative interview study of a line-labelling policy in a UK region by Mary Dixon-Woods, Guillaume Lamé, Natasha Marie Kriznik

“…Major challenges related to defining the problem and the solution, limited sustained engagement with stakeholders and users, prototyping/piloting of the solution, and planning for implementation. …”
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