Cattle identification based on multiple feature decision layer fusion by Dongxu Li, Baoshan Li, Qi Li, Yueming Wang, Mei Yang, Mingshuo Han

“…The corresponding cattle IDs of these features are then processed using One-Hot encoding to serve as the final input for the decision layer, and various ensemble strategies are used to optimize the model. …”
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Construction of an Efficient Engineered Strain for Chaetoglobosin A Bioresource Production from Potato Starch Industrial Waste by Kai Zhang, Shanshan Zhao, Zhengran Wang, Ming Cheng, Wan Wang, Qian Yang

“…The addition of metal ions had a positive effect on CheA production, with Cu²⁺ being the most effective and improving production to 176.92 mg/L. The optimal fermentation conditions were determined by response surface optimization, and under the optimal conditions, the engineered strain could stably produce CheA with a yield of 197.58 mg/L. …”
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<i>HOM2</i> Deletion by CRISPR-Cas9 in <i>Saccharomyces cerevisiae</i> for Decreasing Higher Alcohols in Whiskey by Jiaojiao He, Haoyang Zhou, Jine Liang, Kadireya Tuerxun, Zhuoling Ding, Shishui Zhou

“…The contents of higher alcohols in whiskey fermented by XF0-h, XF0-H, and XF0-LH were 704 ± 8 mg/L, 685 ± 6 mg/L, and 685 ± 19 mg/L, respectively, showing reductions of 23.93%, 25.98%, and 15.81% compared to XF0, XF0, and XF0-L. The fermentation conditions of XF0-LH were optimized through single-factor experiments and the Box–Behnken design. …”
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Heterologous Expression, Enzymatic Characterization, and Biofilm Eradication Activity of Cellulase CelL7 Derived from Marine Sources by WENG Xiaomin, HU Shiqi, CAI Jiaqi, HONG Jianqu, YAN Fen

“…The full length of the CelL7 gene was 1 077 bp, encoding 358 amino acid residues, and the theoretical molecular mass of the encoded protein was 40.39 kDa. …”
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Attention-Enhanced Hybrid Automatic Modulation Classification for Advanced Wireless Communication Systems: A Deep Learning-Transformer Framework by Sam Ansari, Khawla A. Alnajjar, Sohaib Majzoub, Eqab Almajali, Anwar Jarndal, Talal Bonny, Abir Hussain, Soliman Mahmoud

“…Furthermore, the proposed architecture employs state-of-the-art computational optimizations, including gradient scaling, mixed precision training, and adaptive moment estimation with fixed weight decay (AdamW), to enhance energy efficiency and accelerate convergence. …”
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A Low-Temperature-Active Pectate Lyase from a Marine Bacterium for Orange Juice Clarification by Yujing Bai, Jin Wang, Yongliang Yan, Yuhua Zhan, Zhengfu Zhou, Min Lin

“…</i> The purified Pel1Ba exhibited an optimal temperature of 40 °C and an optimal pH of 10, with a total enzyme activity of 5100 U/mL. …”
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Neural tuning instantiates prior expectations in the human visual system by William J. Harrison, Paul M. Bays, Reuben Rideaux

“…We further show that the adopted encoding scheme effectively embeds an environmental prior for natural image statistics within the sensory measurement, providing the functional architecture necessary for optimal inference in the earliest stages of cortical processing.…”
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Week-Ahead Water Demand Forecasting Using Convolutional Neural Network on Multi-Channel Wavelet Scalogram by Adithya Ramachandran, Hatem Mousa, Andreas Maier, Siming Bayer

“…Water demand forecasting aids water management by learning the underlying relationship between consumption and governing variables for optimal supply. In this paper, we propose a week-ahead hourly water demand forecasting technique based on deep learning (DL) utilizing an encoded representation of historical supply data and influencing exogenous variables for a District Metered Area (DMA). …”
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Enhanced natural parameterized quantum circuit by Yuquan Chen, Yanjun Hou, Zeyuan Wang, Tianyun Wang, Ze Wu, Zhaokai Li, Xinhua Peng

“…To address this issue, we propose the enhanced natural parameterized quantum circuit (ENPQC), which achieves the maximum parameter capacity of quantum systems and preserves the local structure of the original dataset. To make the encoding circuits more experiment friendly, we further provide two near-optimal circuits that achieve near-maximum capacity and are comparable in complexity to the existing PQCs. …”
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Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding by Pengyu Liu, Kebin Jia

“…A low-complexity saliency detection algorithm for perceptual video coding is proposed; low-level encoding information is adopted as the characteristics of visual perception analysis. …”
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Deep learning with data transformation improves cancer risk prediction in oral precancerous conditions by John Adeoye, Yuxiong Su

“…Tabular-to-2D image data transformation was achieved by creating a feature matrix from encoded labels of the input variables arranged according to their correlation coefficient. …”
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Unsupervised alignment reveals structural commonalities and differences in neural representations of natural scenes across individuals and brain areas by Ken Takeda, Kota Abe, Jun Kitazono, Masafumi Oizumi

“…Summary: Neuroscience research aims to identify universal neural mechanisms underlying sensory information encoding by comparing neural representations across individuals, typically using Representational Similarity Analysis. …”
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Mathematical Modeling for Ceramic Shape 3D Image Based on Deep Learning Algorithm by Lijian Zhang, Guangfu Liu

“…Each module in the compression framework is optimized by a rate-distortion loss function. The experimental results show that the proposed 3D image modeling method has significant advantages in compression performance compared with the optimal 2D 3D image modeling method based on deep learning, and the experimental results show that the performance of the proposed method is superior to JP3D and HEVC methods, especially at low bit rate points.…”
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Fishing operation type recognition based on multi-branch convolutional neural network using trajectory data by Bohui Jiang, Weifeng Zhou

“…We develop a multi-branch 1D convolutional neural network (MB-1dCNN) to minimize feature engineering dependency while enhancing operational-type recognition. Comparative experiments evaluate Geohash encoding lengths and network architectures (single-branch vs. multi-branch, fully-connected vs. 1D-CNN). …”
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Fast Decision Making of Point Cloud Video Geometry CU Partition Based on Occupied Pixels by Fengqin Wang, Juanjuan Jia, Qiuwen Zhang

“…., these generated images are encoded and processed. Compared with natural video, point cloud video has a larger amount of data, and V-PCC coding improves coding efficiency but is more complex. …”
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Rumor detection model with weighted GraphSAGE focusing on node location by Manfu Ma, Cong Zhang, Yong Li, Jiahao Chen, Xuegang Wang

“…Experiments show that the accuracy of the GSMA model on Ma-Weibo and Weibo23 reaches 97.43% and 97.55%, which is an improvement of 1.11% and 0.77% compared to the benchmark GraphSAGE, and all the evaluation metrics are also improved compared to other optimal rumor detection models.…”
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Solving Transport Infrastructure Investment Project Selection and Scheduling Using Genetic Algorithms by Karel Ječmen, Denisa Mocková, Dušan Teichmann

“…In computational experiments, the proposed GA is compared to an exact solution and proves to be efficient in terms of quality of obtained solutions and computational time, with an average computational time of 108 s and the quality of obtained solutions typically ranging between 85% and 95% of the optimal solution. …”
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Personalized Electronic Signature Technology Based on Stress Luminescent Materials by Zhangnan WANG

“…Experimental results demonstrate that compared to undoped NaNbO3, the Pr3+-doped material exhibits new absorption peaks within the 350 – 500 nm range. …”
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The two-domain LysX protein of Mycobacterium tuberculosis is required for production of lysinylated phosphatidylglycerol and resistance to cationic antimicrobial peptides. by Erin Maloney, Dorota Stankowska, Jian Zhang, Marek Fol, Qi-Jian Cheng, Shichun Lun, William R Bishai, Malini Rajagopalan, Delphi Chatterjee, Murty V Madiraju

“…Together, our results suggest that LysX-mediated production of L-PG is necessary for the maintenance of optimal membrane integrity and for survival of the pathogen upon infection.…”
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Hybrid Uncertainty Metrics-Based Privacy-Preserving Alternating Multimodal Representation Learning by Zhe Sun, Yaowei Huang, Aohai Zhang, Chao Li, Lifan Jiang, Xiaotong Liao, Ran Li, Junping Wan

“…Built on Multimodal Learning with Alternating Unimodal Adaptation (MLA), PAMRL alternately optimizes unimodal encoders and a shared representation head to mitigate modality laziness and improve cross-modal consistency. …”
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