The importance of organisational culture for health system resilience: A qualitative analysis of factors that supported health care workers in Germany during the COVID-19 pandemic. by Heide Weishaar, Megan Evans, Souaad Chemali, Eloisa Montt Maray, Rike Böttcher, René Umlauf, Susan Abunijela, Nadine Muller, Barbara Buchberger, Brogan Geurts, Hanna-Tina Fischer, Charbel El Bcheraoui

“…Health system resilience is defined as the ability of a system to prepare, manage, and learn from shocks. This study investigates the resilience of the German health system by analysing the system-related factors that supported health care workers, a key building block of the system, during the COVID-19 pandemic. …”
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Compensating Sparse-view Inline Computed Tomography Artifacts with Neural Representation and Incremental Forward-Backward Network Architecture by Manuel Buchfink, Faizan Ahmad, Guangpu Yang, Ammar Alsaffar, Charles Clark, Ahmed Baraka, Xingyu Liu, Sven Simon

“…Therefore, this paper discusses two deep-learning-based approaches for removing such artifacts. …”
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Toward cultural interpretability: A linguistic anthropological framework for describing and evaluating large language models by Graham M Jones, Shai Satran, Arvind Satyanarayan

“…This article proposes a new integration of linguistic anthropology and machine learning (ML) around convergent interests in both the underpinnings of language and making language technologies more socially responsible. …”
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Efektivitas Larva Black Soldier Fly (Maggot) dalam Pengomposan Sampah Dapur dan Pemanfaatannya sebagai Buku Petunjuk Praktikum IPA SMP by Ika Lia Novenda, Rohmah Jwita Sari, Erlia Narulita

“…. %, as well as the junior high school science practicum instructions were categorized as very feasible to be used in helping the learning process with an average validity score of 88%.…”
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Teaching information seeking by Louise Limberg, Olof Sundin

“…Findings are presented from a research project on information seeking, didactics and learning (IDOL) investigating librarians' and teachers' experiences of teaching information seeking. …”
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Engaging in Online Environmental Discussion: Experiences and Reflections of Students in an Undergraduate Science Course by Kazempour Mahsa

“…This mixed-method study explored the experiences of students in an introductory college science course with a weekly discussion forum designed to engage them in learning about environmental issues through various media platforms and participation in peer discussions. …”
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Use and Trends of Diabetes Self-Management Technologies: A Correlation-Based Study by Jesús Fontecha, Iván González, Alfonso Barragán, Theodore Lim

“…Also, 88.98% of participants did not use gamification-based methods during the initial training sessions, although gamification is a useful technique in learning stages. An inference analysis shows how specific characteristics of diabetes devices and apps should improve. …”
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A Low-Power General Matrix Multiplication Accelerator with Sparse Weight-and-Output Stationary Dataflow by Peng Liu, Yu Wang

“…General matrix multiplication (GEMM) in machine learning involves massive computation and data movement, which restricts its deployment on resource-constrained devices. …”
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Asynchronous Wireless Signal Modulation Recognition Based on In-Phase Quadrature Histogram by Xu Zhang, Xi Hui, Pengwu Wan, Tengfei Hui, Xiongfei Li

“…To address these challenges, deep learning-based modulation mode recognition technique is investigated in this paper for low-speed asynchronous sampled signals under channel conditions with varying SNR and delay. …”
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Relation Classification via Recurrent Neural Network with Attention and Tensor Layers by Runyan Zhang, Fanrong Meng, Yong Zhou, Bing Liu

“…Our model allows end-to-end learning from the raw sentences in the dataset, without trimming or reconstructing them. …”
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Semi-supervised tri-Adaboost algorithm for network intrusion detection by Yali Yuan, Liuwei Huo, Yachao Yuan, Zhixiao Wang

“…We then conduct extensive numerical studies using different training and testing samples in the KDDcup99 dataset and discover the flows demonstrated that (1) high accuracy can be obtained using a training dataset which consists of a small number of labeled and a large number of unlabeled samples. (2) The algorithm proposed is reproducible and consistent over different runs. (3) The proposed algorithm outperforms other existing learning algorithms, even with only a small amount of labeled data in the training phase. (4) The proposed algorithm has a short execution time and a low false positive rate, while providing a desirable detection rate.…”
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A New Type of Eye Movement Model Based on Recurrent Neural Networks for Simulating the Gaze Behavior of Human Reading by Xiaoming Wang, Xinbo Zhao, Jinchang Ren

“…Experimental results are then presented to demonstrate that the proposed model can achieve similar prediction accuracy while requiring fewer features than current machine learning models.…”
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Ptr4BERT: Automatic Semisupervised Chinese Government Message Text Classification Method Based on Transformer-Based Pointer Generator Network by Mingxin Li, Kaiqian Yin, Minghao Wang

“…However, government messages have problems such as fast update rate, a large amount of information, long texts, and difficulty in capturing key points, which make supervised learning methods unsuitable for processing such texts. …”
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Vestimentary eponyms in contemporary Spanish language by Y. V. Slivchikova

“…Eponyms complicate the learning of languages and translation being a result of the worldview reflection of a determinate group of people in a determined period of time. …”
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A hybrid Genetic Algorithm and Fuzzy Logic approach to ergonomic design of workstations in metal casting operations by Intan Berlianty, Irwan Soejanto, Indun Titisariwati, Favian Ersanta Andhika Putra, Wahyu Tri Utami, Mohamad Kamil Insani

“…Future research could further enhance the system by incorporating machine learning for improved predictive capabilities and expanded optimization of ergonomic parameters.…”
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A multi-dimensional decision framework based on the XGBoost algorithm and the constrained parametric approach by Xinxin Wang, BingBing Zhang, Zeshui Xu, Ming Li, Marinko Skare

“…Under the framework, XGBoost algorithm, one of the machine learning methods, is conducted to capture the importance of attributes by using the historical data, and further calculate the attribute weights. …”
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A Survey on Sensor Selection and Placement for Connected and Automated Mobility by Mehmet Kiraz, Fikret Sivrikaya, Sahin Albayrak

“…The findings of this article also highlight numerous challenges in creating a universal framework, the lack of application of novel machine learning methods, and the complexity of modeling multi-sensor settings.…”
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Evaluation of English Teaching Materials used at a Vocational High School Based on Cunningsworth’s Checklist by Yeli Nurhamsih, Syahrial Syahrial

“…English teaching material is really important, that is why a teacher should be able  to select the right book to use on teaching and learning process. One of the ways is by evaluating the textbook. …”
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Graph-Attention Diffusion for Enhanced Multivariate Time-Series Anomaly Detection by Vadim Lanko, Ilya Makarov

“…In this article, we propose a novel reconstruction-based approach that enhances normal pattern learning through data masking and leverages diffusion models to capture both temporal and spatial interrelations via graph-attention layers. …”
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An improved spatially downscaled solar-induced chlorophyll fluorescence dataset from the TROPOMI product by Siyuan Chen, Liangyun Liu, Lichun Sui, Xinjie Liu, Yan Ma

“…Compared with a machine learning (ML) SIF product and OSIF, TroDSIF can better reproduce the OSIF signals with higher R2, lower root mean square error (RMSE), and nearly zero residuals at different latitudes. …”
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