USING THE METHODS OF SYSTEMS BIOLOGY FOR PREDICTING PERSPECTIVE TARGET GENES TO SELECT C3 AND C4 CEREALS FOR OXIDATIVE STRESS RESISTANCE by A. V. Doroshkov, A. V. Bobrovskikh

“…However, the biochemical components of the system are redundant, for each reaction is catalyzed by a series of enzymes encoded by different genes. Choosing the most perspective components of this system will help speed up evaluating the optimal breeding strategy for improving abiotic stress tolerance in economically valuable plants. …”
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FORCED HAPPINESS AS A MODERN SOCIO AND CULTURAL IMPERATIVE by H. V. Khodus

“…This disciplinary discourse not only codifies the "correct" expression of emotions, but also culturally encodes the hierarchy of these "correct" emotions. …”
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Genetic Characterization of Escherichia coli O157 Isolated From Human Stool Specimens in Wassit Province of Iraq by Sabah M. Jwied, Mohammed Sh. Jebur

“…PCR was performed for detecting shiga toxin genes in  E. coli isolates, and rfb gene (encoding O-antigene )   of STEC- O157. DNA sequencing was done on some positive isolates. …”
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Speech Enhancement Using Joint DNN-NMF Model Learned with Multi-Objective Frequency Differential Spectrum Loss Function by Matin Pashaian, Sanaz Seyedin

“…The multi-objective MSE term LMO is a combined two-loss function related to the NMF coefficients which are the intermediate output targets, and the original spectral signals as the actual output targets. The use of encoded NMF coefficients as low-dimensional structural features for DNN serves as prior knowledge and helps the learning process. …”
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Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment by Praveen Vijai, Bagavathi Sivakumar P

“…By leveraging the bidirectional capability of BiLSTM in the encoder and decoder, the model captures comprehensive temporal dependencies, enabling more effective anomaly detection. …”
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Ferroptosis-Related Transcriptional Level Changes and the Role of CIRBP in Glioblastoma Cells Ferroptosis by Zijiang Yang, Ting Zhang, Xuanlin Zhu, Xiaobiao Zhang

“…Results: We identified and validated the gene encoding CIRBP, the expression of which is altered during glioblastoma ferroptosis. …”
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Fractional hitting sets for efficient multiset sketching by Timothé Rouzé, Igor Martayan, Camille Marchet, Antoine Limasset

“…In theory and practice, we demonstrate the feasibility of achieving such coverage with simple but highly efficient schemes. By encoding the covered k-mers as super-k-mers, we provide a space-efficient exact representation that also enables optimized comparisons. …”
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Arachis hypogaea monoacylglycerol lipase AhMAGL3b participates in lipid metabolism by Yihua Zhan, Jing Wang, Xuan Zhao, Zhifu Zheng, Yi Gan

“…Results Herein, AhMAGL3b encoding a protein with both hydrolase and acyltransferase regions, a member of MAGL gene family, was cloned and overexpressed in Arabidopsis thaliana. …”
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Palmprint recognition based on the line feature local tri‐directional patterns by Mengwen Li, Huabin Wang, Huaiyu Liu, Qianqian Meng

“…Then, the directional features are encoded as tri‐directional patterns. The tri‐directional patterns reflect the direction changes in the local area. …”
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Improved lung nodule segmentation with a squeeze excitation dilated attention based residual UNet by Dhafer Alhajim, Karim Ansari-Asl, Gholamreza Akbarizadeh, Mehdi Naderi Soorki

“…After preprocessing the images with the intensity normalization method and extracting the Regions of Interest by YOLOv3, they are fed into the SEDARU-Net with dilated convolutions in the encoder part. Then, the extracted features are given to the decoder part, which involves transposed convolutions, Squeeze-Excitation Dilated Residual blocks, and skip connections equipped with an Attention Gate, to decode the feature maps and construct the segmentation mask. …”
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Anomaly Detection for Time Series with Difference Rate Sample Entropy and Generative Adversarial Networks by Keke Gao, Wenbin Feng, Xia Zhao, Chongchong Yu, Weijun Su, Yuqing Niu, Lu Han

“…The experiment compared the entropy results of different time series with the detection results of generative adversarial networks and automatic encoders and showed that the method proposed in this paper had relatively high detection accuracy.…”
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Reversible data hiding algorithm in encrypted images based on prediction error and bitplane coding by Haiyong WANG, Mengning JI

“…With the increasing use of cloud backup methods for storing important files, the demand for privacy protection has also grown.Reversible data hiding in encrypted images (RDHEI) is an important technology in the field of information security that allows embedding secret information in encrypted images while ensuring error-free extraction of the secret information and lossless recovery of the original plaintext image.This technology not only enhances image security but also enables efficient transmission of sensitive information over networks.Its application in cloud environments for user privacy protection has attracted significant attention from researchers.A reversible data hiding method in encrypted images based on prediction error and bitplane coding was proposed to improve the embedding rate of existing RDHEI algorithms.Different encoding methods were employed by the algorithm depending on the distribution of the bitplanes, resulting in the creation of additional space in the image.The image was rearranged to allocate the freed-up space to the lower-order planes.Following this, a random matrix was generated using a key to encrypt the image, ensuring image security.Finally, the information was embedded into the reserved space.The information can be extracted and the image recovered by the receiver using different keys.The proposed algorithm achieves a higher embedding rate compared to five state-of-the-art RDHEI algorithms.The average embedding rates on BOWS-2, BOSSBase, and UCID datasets are 3.769 bit/pixel, 3.874 bit/pixel, and 3.148 bit/pixel respectively, which represent an improvement of 12.5%, 6.9% and 8.6% compared to the best-performing algorithms in the same category.Experimental results demonstrate that the proposed algorithm effectively utilizes the redundancy of images and significantly improves the embedding rate.…”
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Comprehensive Environmental Monitoring System for Industrial and Mining Enterprises Using Multimodal Deep Learning and CLIP Model by Shuqin Wang, Na Cheng, Yan Hu

“…The initial phase employs ResNet within the CLIP model for extracting image features, and a Transformer for encoding text features. Subsequently, feature vectors obtained from monitoring images and text are fused using a rudimentary concatenation method to generate a joint embedding representation. …”
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p53 dosage can impede KrasG12D- and KrasQ61R-mediated tumorigenesis. by Özgün Le Roux, Jeffery I Everitt, Christopher M Counter

“…Loss of the Trp53 gene encoding the tumor suppressor p53 enhances the ability of oncogenic Kras to initiate tumorigenesis in carcinogen and genetic models of lung cancer. …”
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A bird’s-eye view of the biological mechanism and machine learning prediction approaches for cell-penetrating peptides by Maduravani Ramasundaram, Honglae Sohn, Thirumurthy Madhavan

“…A comparative analysis of diverse CPP prediction methods was conducted based on their algorithms, dataset size, feature encoding, software utilities, assessment metrics, and prediction scores. …”
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A Novel COL7A1 Mutation in a Patient With Dystrophic Epidermolysis Bullosa. Successful Treatment With Upadacitinib by Lai S, Lin C, Guo Z, Lai Y, Xie L, Wan C, Yang T, Li L

“…Shuqin Lai,* Chunli Lin,* Zimeng Guo, Yun Lai, Ling Xie, Chunlei Wan, Tao Yang, Longnian Li Department of Dermatology, Candidate Branch of National Clinical Research Centre for Skin and Immune Diseases, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Tao Yang; Longnian Li, Department of Dermatology, Candidate Branch of National Clinical Research Centre for Skin and Immune Diseases, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, People’s Republic of China, Email danny20021068@126.com; li_longnian@foxmail.comAbstract: Dystrophic epidermolysis bullosa (DEB) is a heterogeneous and rare genetic skin disease caused by mutations in the COL7A1 gene, which encodes Type VII collagen. The absence or dysfunction of Type VII collagen can cause the dense lower layer of the basal membrane zone of the skin to separate from the dermis, leading to blister formation and various complications. …”
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Expanded taxonomies of human memory by Jason R. Finley

“…Fruitful insights are possible from considering these expanded taxonomies using traditional ideas from cognitive psychology (e.g., encoding, storage, retrieval, forgetting). I explore numerous parallels, distinctions, and interplays.…”
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IDTransformer: Infrared image denoising method based on convolutional transposed self-attention by Zhengwei Shen, Feiwei Qin, Ruiquan Ge, Changmiao Wang, Kai Zhang, Jie Huang

“…To surmount these obstacles, we introduce the Infrared image Denoising Transformer (IDTransformer), encapsulated in a symmetrical encoder–decoder architecture. Central to our approach is the Convolutional Transposed Self-Attention Block (CTSAB), which is ingeniously conceived to capture long-range dependencies via channel-wise self-attention, while simultaneously encapsulating local context through depth-wise convolution. …”
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PD_EBM: An Integrated Boosting Approach Based on Selective Features for Unveiling Parkinson's Disease Diagnosis With Global and Local Explanations by Fahmida Khanom, Mohammad Shorif Uddin, Rafid Mostafiz

“…Comprehensive data preparation included encoding categorical features, imputing missing values, removing outliers, addressing data imbalance, scaling data, selecting relevant features, and so on. …”
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Professional Language Training of International Students in the Multicultural Environment of University for International Relations by T. Glebova

“…The article gives special attention to the place and role of translation in teaching English as translation is a system of encoding within the system of two language systems. …”
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