A Bioinformatics Analysis Reveals a Group of MocR Bacterial Transcriptional Regulators Linked to a Family of Genes Coding for Membrane Proteins by Teresa Milano, Sebastiana Angelaccio, Angela Tramonti, Martino Luigi Di Salvo, Roberto Contestabile, Stefano Pascarella

“…The MocR bacterial transcriptional regulators are characterized by an N-terminal domain, 60 residues long on average, possessing the winged-helix-turn-helix (wHTH) architecture responsible for DNA recognition and binding, linked to a large C-terminal domain (350 residues on average) that is homologous to fold type-I pyridoxal 5′-phosphate (PLP) dependent enzymes like aspartate aminotransferase (AAT). …”
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Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting by Hai Tao, Ali Omran Al-Sulttani, Ameen Mohammed Salih Ameen, Zainab Hasan Ali, Nadhir Al-Ansari, Sinan Q. Salih, Reham R. Mostafa

“…In addition, it was found to improve the accuracy in forecasting high flow events. The unique architecture of developed SVR-GA due to the ability of the GA optimizer to tune the internal parameters of the SVR model provides a robust learning process. …”
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Optimization of Neurons Number in Artificial Neural Network Model for Predicting the Power Production of PV Module by Hussain Hamdi Khalaf, Ali Nasser Hussain, Zuhair S. Al-Sagar, Abdulrahman Th. Mohammad, Hilal A. Fadhil

“…The obtained results show that the architecture of ANN is appropriate for predicting the power generated from the PV module. …”
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Resolving Covid-19 with Blockchain and AI by Suyogita Singh, Satya Bhushan Verma

“…First, a new conceptual strategy was proposed to tackle COVID-19 through an architecture that fused AI with blockchain. State-of-the-art research on the benefits of blockchain and AI in COVID-19 containment was then reviewed. …”
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DLiGRU-X: Efficient X-Vector-Based Embeddings for Small-Footprint Keyword Spotting System by Zong-En Wu, Shao-Jung Chan, Yeshanew Ale Wubet, Kuang-Yow Lian

“…This paper introduces an enhanced deep learning model based on the X-vector architecture, named dilated light-gated recurrent unit in X-vector (DLiGRU-X) to address these challenges specifically for small-footprint keyword spotting (KWS) tasks. …”
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Sandwich structures with TPMS core and printed circuit board faces by Gustavo Ferreira Malta, Pedro Henrique dos Santos Alves, Manuel Barcelos Júnior

“…The objective of this paper is to produce sandwich panels, with a core based on the TPMS architecture. They will be printed in thermoplastic material with laminated faces used in printed circuit boards. …”
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Evaluation of Interface Shear Strength Properties of Geogrid Reinforced Foamed Recycled Glass Using a Large-Scale Direct Shear Testing Apparatus by Arul Arulrajah, Suksun Horpibulsuk, Farshid Maghoolpilehrood, Wisanukorn Samingthong, Yan-Jun Du, Shui-Long Shen

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ImagTIDS: an internet of things intrusion detection framework utilizing GADF imaging encoding and improved Transformer by Peng Wang, Yafei Song, Xiaodan Wang, Xiangke Guo, Qian Xiang

“…To tackle the above problems, we propose an IoT intrusion detection architecture based on Gramian angular difference fields (GADF) imaging technology and improved Transformer, named ImagTIDS. …”
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A Denoising Based Autoassociative Model for Robust Sensor Monitoring in Nuclear Power Plants by Ahmad Shaheryar, Xu-Cheng Yin, Hong-Wei Hao, Hazrat Ali, Khalid Iqbal

“…Proposed DAASM model comprises multiple hidden layers which are pretrained greedily in an unsupervised fashion under denoising autoencoder architecture. In order to improve robustness, dropout heuristic and domain specific data corruption processes are exercised during unsupervised pretraining phase. …”
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Tailoring convolutional neural networks for custom botanical data by Jamie R. Sykes, Katherine J. Denby, Daniel W. Franks

“…Methods We address this gap with informed data collection and the development of a new convolutional neural network architecture, PhytNet. Utilising a novel dataset of infrared cocoa tree images, we demonstrate PhytNet's development and compare its performance with existing architectures. …”
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A Particle Swarm Optimization Variant with an Inner Variable Learning Strategy by Guohua Wu, Witold Pedrycz, Manhao Ma, Dishan Qiu, Haifeng Li, Jin Liu

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Research on Formation Identification Based on Drilling Shock and Vibration Parameters and Energy Principle by Yu Ding, Zhuoying Tan, Shuguang Li, Zizhen Miao, Huifen Qu

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Blasting-Induced Permeability Enhancement of Ore Deposits Associated with Low-Permeability Weakly Weathered Granites Based on the Split Hopkinson Pressure Bar by Lei Yan, Wenhua Yi, Liansheng Liu, Jiangchao Liu, Shenghui Zhang

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Exploring Many-Core Design Templates for FPGAs and ASICs by Ilia Lebedev, Christopher Fletcher, Shaoyi Cheng, James Martin, Austin Doupnik, Daniel Burke, Mingjie Lin, John Wawrzynek

“…The template is customized on a per-application basis via a range of high-level parameters such as the interconnect topology or processing element architecture. The key benefits of this approach are that it (i) allows programmers to express parallelism through an API defined in a high-level programming language, (ii) supports coarse-grained multithreading and fine-grained threading while permitting bit-level resource control, and (iii) reduces the effort required to repurpose the system for different algorithms or different applications. …”
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Identification and Expression Profiling of the BTB Domain-Containing Protein Gene Family in the Silkworm, Bombyx mori by Daojun Cheng, Wenliang Qian, Meng Meng, Yonghu Wang, Jian Peng, Qingyou Xia

“…Silkworm BTB protein genes were classified into nine subfamilies according to their domain architecture, and most of them could be mapped on the different chromosomes. …”
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Analysis of Hydrogeochemical Characteristics of Tunnel Groundwater Based on Multivariate Statistical Technology by Chen Peng, Yuanming Liu, Huiyu Chen, Qiaowei Yuan, Qingzhi Chen, Shilong Mei, Zhonghu Wu

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Case report: Rare observation of thyroid-like cholangiocarcinoma by Ekaterina Bondarenko, Dmitriy Kalinin, Liliya Urusova, Dariya Pastukhova, Rustam Salimkhanov, Natalia Mokrysheva

“…These subtypes often exhibit features such as slow growth, a histologic architecture resembling thyroid tissue, or ductal ectasia, and are associated with a more favorable prognosis. …”
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Deep learning modeling of manufacturing and build variations on multistage axial compressors aerodynamics by Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu

“…The model is applied to manufacturing and build variations, as the associated performance scatter is known to have a significant impact on $ \mathrm{C}{\mathrm{O}}_2 $ emissions, which poses a challenge of great industrial and environmental relevance. The proposed architecture is proven to achieve an accuracy comparable to that of the CFD benchmark, in real-time, for an industrially relevant application. …”
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Experimental Study and Numerical Analysis on Impact Resistance of Civil Air Defense Engineering Shear Wall by Chenglong Shi, Jigang Zhang, Junbo Zhang, Feng Shao, Yicong Zhang, Menglin Zhang

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Optimized Deep Belief Network for Efficient Fault Detection in Induction Motor by Pradeep Katta, K. Karunanithi, S. P. Raja, S. Ramesh, S. Vinoth John Prakash, Deepthi Joseph

“…Restricted Boltzmann Machine (RBM) is stacked utilizing multiple units of DBN model, which is then trained adopting Ant colony algorithm.An innovative method of feature extraction for autonomous fault analysis in manufacturing is provided by experimental investigations utilising vibration signals and overall accuracy of 99.8% is obtained, which therefore confirms the efficiency of DBN architecture for features extraction.…”
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