Preliminary analysis of the role of small hepatitis B surface proteins mutations in the pathogenesis of occult hepatitis B infection via the endoplasmic reticulum stress-induced UP... by Huang Chengrong, Zhang Hao, Wang Jing, Li Jianfei, Liu Qian, Zong Qiyin, Zhang Yunyun, Wang Qin, Zhou Qiang

“…Cells transfected with OBI-related SHB mutation-encoding plasmids exhibited lower supernatant HBsAg levels than cells transfected with WT plasmids. …”
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Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer by Hengrui Zhao, Biling Wang, Michael Dohopolski, Ti Bai, Steve Jiang, Dan Nguyen

“…To leverage this clustered data, we propose a text-guided segmentation model, contrastive language and image pre-training (CLIP)-UNet, which encodes the cluster information using a text encoder and combines the encoded text information with image features for segmentation. …”
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Optimizing Ontology Alignment through Linkage Learning on Entity Correspondences by Xingsi Xue, Chaofan Yang, Chao Jiang, Pei-Wei Tsai, Guojun Mao, Hai Zhu

“…In this work, an extended compact genetic algorithm-based ontology entity matching technique (ECGA-OEM) is proposed, which uses both the compact encoding mechanism and linkage learning approach to match the ontologies efficiently. …”
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Secondary motor cortex tracks decision value during the learning of a non-instructed task by Elisabete Augusto, Vladimir Kouskoff, Nicolas Chenouard, Margaux Giraudet, Léa Peltier, Aron de Miranda, Alexy Louis, Lucille Alonso, Frédéric Gambino

“…The secondary motor cortex (M2) is key in adaptive behaviors in expert rodents, particularly in encoding decision values guiding complex probabilistic tasks. …”
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Preclinical and clinical study on type 3 metabotropic glutamate receptors in Parkinson’s disease by Luisa Di Menna, Marika Alborghetti, Maria Ilenia De Bartolo, Marina Borro, Giovanna Gentile, Manuela Zinni, Matteo Bologna, Carolina Cutrona, Giovanna D’Errico, Tiziana Imbriglio, Domenico Bucci, Sara Merlo, Roxana Paula Ginerete, Rosamaria Orlando, Federica Carrillo, Giorgio Fortunato, Milena Cannella, Maria Angela Sortino, Julien Pansiot, Olivier Baud, Ferdinando Nicoletti, Valeria Bruno, Maurizio Simmaco, Francesco Ernesto Pontieri, Edoardo Bianchini, Domiziana Rinaldi, Amalia de Curtis, Giovanni De Gaetano, Licia Iacoviello, Teresa Esposito, Alfredo Berardelli, Giuseppe Battaglia

“…We also examined polymorphic variants of GRM3 (the mGlu3 receptor encoding gene) in 723 PD patients and 826 healthy controls. …”
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Noise Robustness of Quantum Relaxation for Combinatorial Optimization by Kentaro Tamura, Yohichi Suzuki, Rudy Raymond, C. Hiroshi Watanabe, Yuki Sato, Ruho Kondo, Michihiko Sugawara, Naoki Yamamoto

“…Quantum random-access optimization (QRAO) is a quantum-relaxation-based optimizer that uses fewer qubits than the number of bits in the original problem by encoding multiple variables per qubit using quantum random-access code (QRAC). …”
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Cooperative condensation of RNA-DIRECTED DNA METHYLATION 16 splicing isoforms enhances heat tolerance in Arabidopsis by Jing Ma, Shuai Li, Tengyue Wang, Zhen Tao, Shijie Huang, Ning Lin, Yibing Zhao, Chuanhong Wang, Peijin Li

“…Our findings provide insight into the cooperative condensation of the two RDM16 isoforms encoded by RDM16 splice variants in enhancing heat tolerance in Arabidopsis.…”
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Open-Source Telemedicine Platform for Wireless Medical Video Communication by A. Panayides, I. Eleftheriou, M. Pantziaris

“…The performance of the proposed system is demonstrated using five atherosclerotic plaque ultrasound videos. The videos are encoded at the clinically acquired resolution, in addition to lower, QCIF, and CIF resolutions, at different bitrates, and four different encoding structures. …”
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Linear incrementality in focus and accentuation processing during sentence production: evidence from eye movements by Zhenghua Zhang, Qingfang Zhang

“…IntroductionWhile considerable research in language production has focused on incremental processing during conceptual and grammatical encoding, prosodic encoding remains less investigated. …”
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Efficient Intrusion Detection System Data Preprocessing Using Deep Sparse Autoencoder with Differential Evolution by Saranya N., Anandakumar Haldorai

“…Since datasets are required for the various feature dimensions, this article proposes an efficient data preprocessing method that includes a series of techniques for data balance using SMOTE, data normalization with power transformation, data encoding using one hot and ordinal encoding, and feature reduction using a proposed deep sparse autoencoder (DSAE) with differential evolution (DE) on data before feature selection and classification. …”
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Disorders in brassinosteroids signal transduction triggers the profound molecular alterations in the crown tissue of barley under drought. by Anetta Kuczyńska, Martyna Michałek, Piotr Ogrodowicz, Michał Kempa, Paweł Krajewski, Vladimiro Cardenia, Maria Teresa Rodriguez-Estrada, Marina Pérez-Llorca, Sergi Munné-Bosch, Krzysztof Mikołajczak

“…On the other hand, a set of genes expressed independently of the genotype was identified, including dehydrin encoding genes. This study also uncovered the candidate genes to be linkers of phytohormones crosstalk. …”
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Lung Cancer Prediction Using Neural Network Ensemble with Histogram of Oriented Gradient Genomic Features by Emmanuel Adetiba, Oludayo O. Olugbara

“…The histogram of oriented gradient (HOG) and local binary pattern (LBP) state-of-the-art feature extraction schemes were applied to extract representative genomic features from the encoded sequences of nucleotides. The ANN ensemble and HOG best fit the training dataset of this study with an accuracy of 95.90% and mean square error of 0.0159. …”
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Advertisement Synthesis Network for Automatic Advertisement Image Synthesis by Qin Wu, Peizi Zhou

“…Specifically, ASNet first generates a preliminary target product scene using Pre-Synthesis and then extracts scene features using Pseudo-Target Object Encoder (PTOE) and true target features using Real Target Object Encoder (RTOE), respectively. …”
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Intensional profiles and different kinds of human minds. “Case studies” about Hungarian imperative-like sentence types by Gábor Alberti, Judit Kleiber, Zsuzsanna Schnell, Veronika Szabó

“… The paper offers such description of some imperative-like sentence types in potential well-formed Hungarian utterances which includes a parallel representation of the linguistically encoded intensional profiles of the sentence types and actual information states in potential interlocutors’ minds. …”
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A multiscale model for multivariate time series forecasting by Vahid Naghashi, Mounir Boukadoum, Abdoulaye Banire Diallo

“…In the multi-scale temporal part, the input time-series is divided into patches of different resolutions to capture temporal correlations associated with various scales. The channel-wise encoder which comes after the temporal encoder, models the relations among the input series to capture the intricate interactions between them. …”
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Predicted Cold Shock Proteins from the Extremophilic Bacterium Deinococcus maricopensis and Related Deinococcus Species by Michael J. LaGier

“…The primary aim of this study was to test whether a representative, desert-dwelling Deinococcus, Deinococcus maricopensis, encodes Csps as part of its genome. Bioinformatic approaches were used to identify a Csp from D. maricopensis LB-34. …”
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Construction and characteristic analysis of the cultural genes map of Grand Canal bridge facilities: a case study in Hangzhou section, China by Wenting Wu, Shuming Jin, Shanfeng Zhang, Yi Mei, Kai Zhou

“…Based on this, various types of cultural genes are encoded according to the principle of cultural gene classification, in order to clarify the four major types of cultural genes: main genes, accessory genes, hybrid genes, and variant genes, forming a cultural gene encoding sequence map and analyzing their basic characteristics. …”
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Study on coded distributed fast Hadamard transform based non-binary LDPC code decoding algorithm by Rui LIU, Yong LI

“…Despite the excellent error correction performance and burst error resistance capability of non-binary LDPC codes, the complexity of the decoding algorithms hinders their broader application.In the classic FHT-QSPA decoding, the fast Hadamard transform (FHT) and its inverse transform (IFHT) have become the main bottleneck for updating the check nodes.Therefore, a coded distributed FHT scheme based on systematic MDS codes was proposed.In the scheme, the channel probability was modeled by the master node as a matrix and it was segmented, and those sub-matrices were encoded into redundant ones.Then, all the sub-matrices were offloaded to worker nodes to perform parallel FHT and IFHT, and the results were sent back to the master node for the final decoding.By embedding redundant information, the proposed scheme resolved the straggling problem, improving the efficiency, and accelerating the entire decoding process.Comparisons with other coded matrix multiplication schemes, the proposed scheme provides lower encoding complexity, higher numerical accuracy in decoding recovery, and maintains an efficient butterfly operation, effectively reducing the computational complexity of worker nodes.The time comparison and decoding performance analysis reveal that the proposed scheme achieves up to approximately 3.8 times acceleration compared to the traditional single-node FHT scheme, significantly enhances the FHT-QSPA decoding efficiency without affecting the decoding performance.…”
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Lightweight Transformer traffic scene semantic segmentation algorithm integrating multi-scale depth convolution by Gang XIE, Quanyi WANG, Xinlin XIE, Jian’an WANG

“…Aiming at the problems of discontinuous segmentation of thin strip objects that were easy to blend into the surrounding background and a large number of model parameters in the semantic segmentation algorithm of traffic scenes, a lightweight Transformer traffic scene semantic segmentation algorithm integrating multi-scale depth convolution was proposed.First, a multi-scale strip feature extraction module (MSEM) was constructed based on deep convolution to enhance the representation ability of thin strip target features at different scales.Secondly, a spatial detail auxiliary module (SDAM) was designed using the convolutional inductive bias feature in the shallow network to compensate for the loss of deep spatial detail information to optimize object edge segmentation.Finally, an asymmetric encoding-decoding network based on the Transformer-CNN framework (TC-AEDNet) was proposed.The encoder combined Transformer and CNN to alleviate the loss of detail information and reduce the amount of model parameters; while the decoder adopted a lightweight multi-level feature fusion design to further model the global context.The proposed algorithm achieves the mean intersection over union (mIoU) of 78.63% and 81.06% respectively on the Cityscapes and CamVid traffic scene public datasets.It can achieve a trade-off between segmentation accuracy and model size in traffic scene semantic segmentation and has a good application prospect.…”
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General and Specific Genetic Polymorphism of Cytokines-Related Gene in AITD by Chen Xiaoheng, Mei Yizhou, He Bei, Li Huilong, Wang Xin, Hu Rui, Li Lu, Ding Zhiguo

“…Various cytokines and related genes encoding them play important roles in the development and progression of AITD. …”
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