A comprehensive evaluation of oversampling techniques for enhancing text classification performance by Salimkan Fatma Taskiran, Bahaeddin Turkoglu, Ersin Kaya, Tunc Asuroglu

“…This work constitutes, to the best of our knowledge, the first large-scale, systematic benchmarking of SMOTE-based oversampling methods in the context of transformer-embedded text classification. …”
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The use of thromboaspiration and combined treatment in patients with ischemic stroke in real-life clinical practice by T. V. Volchenkova, S. V. Kotov, E. V. Isakova, M. V. Sutormin, E. V. Patrin, B. B. Gegenava, M. N. Martynovich, I. G. Rudakova, L. V. Smetana, V. A. Borisova, S. V. Belkina

“…Group II patients were characterized by a longer delay in reperfusion therapy (225 minutes versus 180 minutes) and a lower score on the Alberta Stroke Programme Early CT score (ASPECTS; 8.8 points versus 9.3 points). There were no differences in National Institutes of Health Stroke Scale (NIHSS) scores at day 28, dynamics of NIHSS scores, Rankin scores at day 28, rates of hemorrhagic transformation or mortality. …”
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FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection by Taojun Zhu, Zikai Zhao, Min Xia, Junqing Huang, Liguo Weng, Kai Hu, Haifeng Lin, Wenyu Zhao

“…First, it has a two-branch Transformer-INN feature extractor using a Lite-Transformer that utilizes remote attention for low-frequency global features, and a invertible neural network that focuses on extracting high-frequency local information. …”
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Evaluating the influence MRSA Co-infection on 28-day mortality among sepsis patients: insights from the MIMIC-IV database by Yi-Chang Zhao, Yi-Chang Zhao, Jia-Kai Li, Jia-Kai Li, Yu-kun Zhang, Yu-kun Zhang, Zhi-Hua Sun, Zhi-Hua Sun, Rao Fu, Rao Fu, Bi-Kui Zhang, Bi-Kui Zhang, Miao Yan, Miao Yan

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Heptagonal Neutrosophic Quotient Mappings by Subasree R, BasariKodi K, Saeid Jafari, Subramanian K

“…Heptagonal neutrosophic methods differ from other neutrosophic methods primarily in the number of parameters they consider and their applications. …”
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Understanding family functioning in mothers and daughters with obesity by Becky Marquez, Florencia Lebensohn-Chialvo, Tala Al-Rousan

“…Purpose This study sought to understand family functioning surrounding weight in Mexican American women with obesity. Methods Semi-structured in-depth interviews were conducted with mothers and adult daughters (N = 116). …”
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An Investigation of Interpolation Techniques to Generate 2D Intensity Image From LIDAR Data by Imran Ashraf, Soojung Hur, Yongwan Park

“…LIDAR 3-D point cloud containing intensity data are transformed to 2-D intensity images for the said purpose. …”
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Improving health-promoting workplaces through interdisciplinary approaches. The example of WISEWORK-C, a cluster of five work and health projects within Horizon-Europe by Deborah De Moortel, Michelle C Turner, Ella Arensman, Alex Binh Vinh Duc Nguyen, Víctor Gonzalez

“…Digitalization, green transitions, and demographic change are transforming societies and economies across Europe. These shifts are giving rise to new forms of work (eg, hybrid work, gig economy jobs) and reshaping management and work organization practices (eg, through algorithmic decision-making or digital monitoring of worker performance). …”
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Book in the media systeme by M. G. Vokhrysheva

“…Its tasks are: 1) on the base of modern home and foreign dictionaries and encyclopedias to show the difference in approaches to definitions and expose the content of the concepts “book” and “media”; 2) to demonstrate the specifics of the book entering into contemporary media sphere both on the level of its transformation into new existence forms in the electronic environment and on the level of its being as an independent unit in the form of a printed book; 3) to establish the possible methodological approaches to the investigation of the problem and suggest the methodology of transdisciplinarity as the basic one. …”
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Changes in the Composition and Properties of Cultured Bacterial Strains of Ginseng Rhizosphere According to Soil Characteristics in the Forest and Plots by Tatiana Y. Gorpenchenko, Marina L. Sidorenko, Alexandra V. Kim, Yuliya V. Vologzhanina, Darya A. Rusakova, Yana O. Timofeeva, Polina A. Perepelkina, Vitalii M. Kazarin, Yuriy N. Zhuravlev

“…The composition of the soil and the microbiome living in it are important for plant growth and root quality. Modern analytical methods were used to identify differences in the rhizosphere soils of plants in the forest and in the plots. …”
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CalR and MPL Driver Mutations and Their Role in the Diagnosis and Clinical Course of JAK2-Unmutated Chronic Myeloproliferative Neoplasm: Results from a Pilot Single-Center Study by Tarık Onur Tiryaki, Aynur Dağlar Aday, Meliha Nalçacı, Akif Selim Yavuz

“…<i>Conclusions</i>: We found no correlation between thrombosis, leukemic transformation, and driver mutations. MPL gene mutation was present in only myelofibrosis patients, and CALR gene mutation was present in one of the three cases of leukemic transformation. …”
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The impact of environmental tax reform on industrial green development: evidence from China by Zhaoyang Lu, Diao Gou, Lanqin Yang, Ziyue Wu, Hailong Feng

“…This study addresses this gap by investigating how the reform affects green total factor productivity (GTFP) in key industrial sectors.MethodsWe build a Difference-in-Differences model to assess the causal impact of the 2018 environmental tax change, using it as a quasi-natural experiment. …”
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Similarity Measures of Sequence of Fuzzy Numbers and Fuzzy Risk Analysis by Zarife Zararsız

“…We present the methods to evaluate the similarity measures between sequence of triangular fuzzy numbers for making contributions to fuzzy risk analysis. …”
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Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI by Jianhong Cheng, Hulin Kuang, Songhan Yang, Hailin Yue, Jin Liu, Jianxin Wang

“…Specifically, the task interrelation is addressed using a hybrid convolutional neural network-Transformer (CNN-Transformer) encoder to represent the shared high-level semantic features by co-training a decoder for glioma segmentation and a Cox model for survival prediction. …”
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High-salt-driven gut microbiota dysfunction aggravates prostatitis by promoting AHR/SGK1/FOXO1 axis-mediated Th17 cell differentiation by Jing Chen, Rui Feng, Bin-Bin Gong, Wei-Kang Wu, Bang-Shun Dai, Rui Tan, Wen-Long Xu, Tong Meng, Xiao-Bin Wang, Yun-Zheng Xiao, Cheng Yang, Li Zhang, Chao-Zhao Liang

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Evaluation of the accuracy of ChatGPT-4 and Gemini’s responses to the World Dental Federation’s frequently asked questions on oral health by Aysenur Arpaci, Asel Usdat Ozturk, Ismail Okur, Sanaz Sadry

“…Abstract Background The field of artificial intelligence (AI) has experienced considerable growth in recent years, with the advent of technologies that are transforming a range of industries, including healthcare and dentistry. …”
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Digital innovation in ophthalmic admissions: Impact on hospital quality in China by YaoYao Lin, Hui Lin, Ning Tang, Man Hu, Qi Dai, XinWei Shi

“…Objective This study aims to construct and evaluate a digital admission management platform for ophthalmology in China, assessing its impact on nurse reception time, patient satisfaction, human cost and healthcare staff experience, with the goal of enhancing the efficiency and quality of ophthalmic medical services. Methods A multidisciplinary team conducted a digital transformation, involving needs assessment, process analysis, and design of a digital admission preparation center system tailored for ophthalmic hospitals. …”
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The role of research work of students in the educational process of a university by L. V. Rozhkova, A. Sh. Dubina, E. B. Teplyakov

“…Thus, the introduction of new technologies and transformations in society replace the usual competencies, expecting employees to have skills that correspond to the trends of the modern world, thereby creating prospects for the development of society.The Materials and Methods. …”
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Promoting sustainable disposal behaviour of unused medicines: Exploring the barriers and drivers using the COM-B model by Joris Galama, Bianca Harms

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Finger Vein Recognition Based on Unsupervised Spiking Convolutional Neural Network with Adaptive Firing Threshold by Li Yang, Qiong Yao, Xiang Xu

“…Currently, finger vein recognition (FVR) stands as a pioneering biometric technology, with convolutional neural networks (CNNs) and Transformers, among other advanced deep neural networks (DNNs), consistently pushing the boundaries of recognition accuracy. …”
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