Whole-Genome Sequencing and Comparative Genomic Analysis of Three Clinical Bloodstream Infection Isolates of <i>Trichosporon austroamericanum</i> by Takanori Horiguchi, Takashi Umeyama, Hiroko Tomuro, Amato Otani, Takayuki Shinohara, Masahiro Abe, Shogo Takatsuka, Ken Miyazawa, Minoru Nagi, Yasunori Muraosa, Yasutaka Hoshino, Takashi Sakoh, Hideki Araoka, Naoyuki Uchida, Tomoyoshi Kaneko, Yuko Nagano, Hiroki Tsukada, Taiga Miyazaki, Yoshitsugu Miyazaki

“…However, its genomic features and pathogenic potential remain poorly understood. …”
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High-resolution Annual Dynamic dataset of Curve Number from 2008 to 2021 over Conterminous United States by Qiong Wu, John J. Ramirez Avila, Jia Yang, Cunxiong Ji, Shanmin Fang

“…This developed CN dataset can be used as input for hydrological models or machine learning algorithms to simulate rainfall-runoff across multiple spatiotemporal scales.…”
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Foreign object detection on coal conveyor belt enhanced by attention mechanism by ZHANG Yang, CHENG Zhiyu, CHEN Yunjiang, ZHANG Jiannan, YUAN Wensheng, ZHANG Hui

“…A unique combination of convolution and pooling operations was used by the CPCA attention mechanism to perform global average pooling and maximum pooling on the input feature map, multi-dimensional feature information was deeply mined, and then attention weights for each channel and spatial position were accurately generated through nonlinear transformation, guiding the model to focus on the key feature areas of foreign objects and enhance feature extraction capabilities. …”
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Triple-chord trussed submerged floating tunnels: hybrid construction concept, feasibility and design by Fa-Cheng Wang, Tao Zhuge, Zheng-Qing Cheng, Lin-Hai Han, Jian-Min Zhang, Leroy Gardner

“…We further develop a multi-scale structural analysis methodology that integrates three-dimensional solid finite element (3-D FE) and simplified fibre modelling for the efficient evaluation of global deformations, fire performance and joint behaviour. …”
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Evaluation of Similarity of Image Explanations Produced by SHAP, LIME and Grad-CAM by Vladyslav Yavtukhovskyi, Violeta Tretynyk

“…The evaluation was performed on two datasets, with one fine tuned and one pre-trained model. …”
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FuXi-DA: a generalized deep learning data assimilation framework for assimilating satellite observations by Xiaoze Xu, Xiuyu Sun, Wei Han, Xiaohui Zhong, Lei Chen, Zhiqiu Gao, Hao Li

“…This success motivates the exploration of establishing DL-based DA frameworks. DL models possess multi-modal modeling capabilities, enabling the fusion of multi-source data in the feature space, which is very similar to the process of assimilating multi-source observational data in DA systems. …”
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A study on flare minimisation in EUV lithography by post‐layout re‐allocation of wire segments by Sudipta Paul, Pritha Banerjee, Susmita Sur‐Kolay

“…Herein, a method to reduce the flare variation as well as the average flare distribution for a layout by perturbation of wire segments, without affecting performance at the post‐layout phase, is proposed. The results show reductions of 20% and 11% on an average in the flare variation and flare mean, respectively, compared to that for the original layout for two different flare models studied on three standard sets of benchmark suites. …”
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Semi-Supervised Burn Depth Segmentation Network with Contrast Learning and Uncertainty Correction by Dongxue Zhang, Jingmeng Xie

“…However, the scarcity and difficulty in labeling burn data limit the performance of traditional deep learning-based segmentation methods. …”
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MTAGCN: Multi-Task Graph-Guided Convolutional Network with Attention Mechanism for Intelligent Fault Diagnosis of Rotating Machinery by Bo Wang, Shuai Zhao

“…Deep learning (DL)-based methods have shown great success in multi-category fault diagnosis due to their hierarchical networks and automatic feature extraction. However, their superior performance is mostly based on single-task learning, which makes them unsuitable for increasingly sophisticated engineering environments. …”
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From threat to opportunity: Gaming the algorithmic system as a service by Marijn Sax, Hao Wang

“…In this model, transparency promises are wrapped into an assisted gaming service and sold as a premium feature. …”
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Predicting drug–gene relations via analogy tasks with word embeddings by Hiroaki Yamagiwa, Ryoma Hashimoto, Kiwamu Arakane, Ken Murakami, Shou Soeda, Momose Oyama, Yihua Zhu, Mariko Okada, Hidetoshi Shimodaira

“…Abstract Natural language processing is utilized in a wide range of fields, where words in text are typically transformed into feature vectors called embeddings. BioConceptVec is a specific example of embeddings tailored for biology, trained on approximately 30 million PubMed abstracts using models such as skip-gram. …”
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Digital Control of an Inverted Pendulum Using a Velocity-Controlled Robot by Marco Costanzo, Raffaele Mazza, Ciro Natale

“…The proposed control solution explicitly models such effects in the control design phase, improving the closed-loop performance. …”
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A novel USP4 inhibitor that suppresses colorectal cancer stemness by promoting β-catenin and Twist1 degradation by Fengtian Li, Yi Zhou, Xinyue Lin, Yaxin Zhang, Qingyong Hu, Enen Zhao, Huali Li, Xingyan Pan, Feng Shu, Kun Zhang, Chengmei Huang, Na Tang, Wenting Liao

“…Cell lines, organoids and animal models were used to evaluate the function of USP4 and its small molecule inhibitor in stemness and chemotherapy response. …”
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Immunophenotyping of colon cancer for identification of potential antigens for colon cancer vaccines by Xuan Wang, Xuan Wang, Jingjiang Lai, Dawei Wang, Keyi Wei, Jing Yang

“…Survival analysis was performed using Kaplan-Meier curves and Cox proportional hazards models. …”
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Remodeling of articular cartilage and subchondral zone of the tibia in exo‑prosthetics of the limb by Tatyana A. Stupina, Andrey A. Emanov, Viktor P. Kuznetsov, Evgenij N. Ovchinnikov

“…A tibial stump was modeled in the animals at the border of the middle and upper third of the diaphysis. …”

FOOD WASTE MANAGEMENT USING STATISTICAL ANALYSIS TO OBTAIN NEW FUNCTIONAL PRODUCTS by Gjore NAKOV, Zlatin ZLATEV, Nastia IVANOVA, Ivan DIMOV

“…Mathematical models have been developed to describe the relationship between the amount of APP and the weighting coefficients of the feature vectors. …”
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Young Italians in European countries: social and economic perspective by Raffaele Ferrara, Gerardo Gallo, Armando Montanari

“…We used regression models to study the patterns of residence abroad and the relationship between the immigration coutries and the specific areas of origin of young Italians. …”
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From Sharing Economy to Sharing Cities Networks: Collaborative/Collective (Re)Actions of Cities to Urban Platformization by Monica Bernardi, Mayo Fuster Morell

“…The comparative analysis applied to their features, governance models, goals, tools and forms of collaboration is based on semi-structured interviews and participant observation during their events. …”
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Reconstructing tropical monthly sea surface temperature variability by assimilating coral proxy datasets by Wenqing Hu, Liang Ning, Zhengyu Liu, Jian Liu, Fen Wu, Mi Yan, Leilei Jiang, Lili Lei, Fangmiao Xing, Haohao Sun, Kefan Chen, Yanmin Qin, Weiyi Sun, Qin Wen, Benyue Li

“…A comparison with observed SST variability shows that our assimilated tropical SST variability performs reasonably well for the seasonal cycle and monthly ENSO characteristics, notably the phase-locking and onset timing, and more realistic spatial fields relative to the model simulations. …”
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Predicting Diabetes Risk Using Machine Learning: A Comparative Study on the Yazd Health Study (YaHS) by Fateme Sefid, Nazanin Norouzi-Ghahjavarestani, Malihe Soleymani-Tabasi, Jamal Zarepour-Ahmadabadi, Ghasem Azamirad, Mohamah yahya Vahidi Mehrjardi, Masoud Mirzaei, Seyed Mehdi Kalantar

“…Extensive preprocessing steps, including data cleaning, class imbalance handling through Synthetic Minority Oversampling Technique and Edited Nearest Neighbors (SMOTEENN), and feature selection, are applied to enhance the performance of models. …”
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