Chromosome-level genome assembly of Z strain European corn borer Ostrinia nubilalis (Lepidoptera: Crambidae) by Xinhua Ding, Yue Zhang, Xiaowu Wang, Kaiyun Fu, Zunzun Jia, Zhihui Wang, Aerziguli Rouzi, Tursun Ahmat, Wenchao Guo

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The Spheroid Light Microscopy Image Atlas for morphometrical analysis of three-dimensional cell cultures by Eva Blondeel, Arne Peirsman, Stephanie Vermeulen, Filippo Piccinini, Felix De Vuyst, Diogo Estêvão, Sayida Al-Jamei, Martina Bedeschi, Gastone Castellani, Tânia Cruz, Sándor Dedeyne, Maria José Oliveira, Satoru Kawakita, Huu Tuan Nguyen, Leoni A. Kunz-Schughart, Soojung Lee, Noemi Marino, Patrick Steigemann, Shuichi Takayama, Anna Tesei, Nina Zablowsky, Phillip Blondeel, Olivier De Wever

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De novo transcriptomes of floral bracts for 22 Bougainvillea accessions by Huaxing Huang, Yangna Sun, Song Ju, Haoteng Wei, Boyu Rong, Zhanyang Ma, Yuemin Yang, Weiming Liu, Lixian Lin, Hongli Ji, Yangfeng Wu, Dongliang Qiu, Jianyong Yan, Xiaokai Ma

“…However, the multi-omics information for B. glabra cultivars is lacking which hinders the progress of gene-level research and genetic applications. We sequenced the bracts transcriptomes of 22 B. glabra accessions and generated more than 80 Gb clean data. …”
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πFL: Private, atomic, incentive mechanism for federated learning based on blockchain by Kejia Chen, Jiawen Zhang, Xuanming Liu, Zunlei Feng, Xiaohu Yang

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Online clustering with interpretable drift adaptation to mixed features by Flavio Corradini, Vincenzo Nucci, Marco Piangerelli, Barbara Re

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Fault tolerance testing and tuning for consortium blockchain by Taiwu Pang, Zheming Ye, Zhao Zhang, Cheqing Jin

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Pretraining instance segmentation models with bounding box annotations by Cathaoir Agnew, Eoin M. Grua, Pepijn Van de Ven, Patrick Denny, Ciarán Eising, Anthony Scanlan

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Digital twin technology in wind turbine components: A review by Jersson X. Leon-Medina, Diego A. Tibaduiza, Núria Parés, Francesc Pozo

“…This review describes the existing literature related to the use of DTs and their developments for WT applications and their components in onshore and offshore applications. …”
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Hybrid oversampling technique for imbalanced pattern recognition: Enhancing performance with Borderline Synthetic Minority oversampling and Generative Adversarial Networks by Md Manjurul Ahsan, Shivakumar Raman, Yingtao Liu, Zahed Siddique

“…Class imbalance problems (CIP) are one of the potential challenges in developing unbiased Machine Learning models for predictions. CIP occurs when data samples are not equally distributed between two or multiple classes. …”
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AI-based model for Prediction of Power consumption in smart grid-smart way towards smart city using blockchain technology by Emran Aljarrah

“…It can extract features using a Spatial-Temporal Correlation (STC) to assess smart grid power usage within the context of a smart city using large-scale, high-dimensional data. Ensuring data integrity, privacy, and trust among grid applicants, transmit the data securely and reliably to a centralized or distributed cloud platform utilizing blockchain technology—a secure transmission and storage using Distributed Authentication and Authorization (DAA) protocol. …”
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Public-Key replacement attacks on lightweight authentication schemes for resource-constrained scenarios by Fei Zhu, Ying Hu, Yufei Ren, Bingfei Han, Xu Yang

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Deep learning for automated encrustation detection in sewer inspection by Wasiu Yusuf, Hafiz Alaka, Mubashir Ahmad, Wusu Godoyon, Saheed Ajayi, Luqman Olalekan Toriola-Coker, Abdullahi Ahmed

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Uncertainty-aware Fourier ptychography by Ni Chen, Yang Wu, Chao Tan, Liangcai Cao, Jun Wang, Edmund Y. Lam

“…Abstract Fourier ptychography (FP) offers both wide field-of-view and high-resolution holographic imaging, making it valuable for applications ranging from microscopy and X-ray imaging to remote sensing. …”
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An Iterative Pixel-Based Dimensional Voting Model for High Spatial-Resolution Image Classification by Muhamad Asyraf Mohd Pouzi, Haza Nuzly Abdull Hamed, Muhammad Razib Othman, Hishammuddin Asmuni, Mohd Adham Isa, Husni Ruslai

“…Traditional classification methods often struggle due to ineffective stand-alone data classification, high costs associated with data fusion, and the need for frequent data collection. …”
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Precision glass thermoforming assisted by neural networks by Yuzhou Zhang, Mohan Hua, Jinan Liu, Haihui Ruan

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Emotional reactions towards vaccination during the emergence of the Omicron variant: Insights from twitter analysis in South Africa by Blessing Ogbuokiri, Ali Ahmadi, Nidhi Tripathi, Laleh Seyyed-Kalantari, Woldergebriel Assefa Woldegerima, Bruce Mellado, Jiahong Wu, James Orbinski, Ali Asgary, Jude Dzevela Kong

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Enhanced Forecasting of Equity Fund Returns Using Machine Learning by Fabiano Fernandes Bargos, Estaner Claro Romão

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Supporting secure and efficient collaborative health information exchange: A hybrid blockchain and ontology based approach by Ramandeep Kaur Sandhu, Manoj A Thomas, Kweku Muata Osei-Bryson

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Machine learning-based prediction of optimal antenatal care utilization among reproductive women in Nigeria by Jamilu Sani, Adeyemi Oluwagbemiga, Mohamed Mustaf Ahmed

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Attention-driven multi-model architecture for unbalanced network traffic intrusion detection via extreme gradient boosting by Oluwadamilare Harazeem Abdulganiyu, Taha Ait Tchakoucht, Ahmed El Hilali Alaoui, Yakub Kayode Saheed

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