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  1. 361

    A Deep Learning Approach for Fault Detection and Localization in MT-VSC-HVDC System Utilizing Wavelet Scattering Transform by Manohar Mishra, Debadatta Amaresh Gadanayak, Abha Pragati, Jai Govind Singh

    Published 2025-01-01
    “…The approach integrates the wavelet scattering transform (WST) to extract low-variance feature vectors and a newly developed variable batch size long-short-term-memory (VB-LSTM) network for accurate fault detection. …”
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    Article
  2. 362

    Exploring the molecular characteristics of inflammatory bowel disease from the perspective of hypoxia-related genes by Lei Zheng, Lin Mou, Lingying Hao, Rui Chen, Yifei Wang, Miao Yu, Xueyan Zhang

    Published 2025-07-01
    “…Hypoxia-related genes (HRGs) were extracted from the GeneCards database. Data preprocessing involved mitigating batch effects via the sva package and normalizing with the limma package. …”
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    Article
  3. 363

    Causal relationship between gout and Alzheimer's disease: a two-sample Mendelian randomization analysis by Kong Chuijia, Zhang Ying, Tan Zhenkun, Ping Junjiao, Zhang Haibo, Zhang Jie, Luo Jiali, Liu Xinxia

    Published 2025-04-01
    “…Concerning the reverse directions, no significant associations between AD and gout were noted.ConclusionThere is a negative causal relationship between gout and AD, with gout potentially reducing the risk of developing AD. [Funded by The Third Batch of Social Welfare and Basic Research Projects (Medical and Health) of Zhongshan City in 2022 (number, 2022B3017)]…”
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  4. 364
  5. 365

    AER U-Net: attention-enhanced multi-scale residual U-Net structure for water body segmentation using Sentinel-2 satellite images by Naga Surekha Jonnala, Shaik Siraaj, Y. Prastuti, P. Chinnababu, B. Praveen babu, Shonak Bansal, Prashant Upadhyaya, Krishna Prakash, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

    Published 2025-05-01
    “…The architecture employs a contracting path consisting of convolutional layers, batch normalization, and activation layers to extract multi-scale features. …”
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    Article
  6. 366

    Impact of some treatments on improving the nutritional, phytochemical, antioxidant, and techno-functional properties of Jackfruit (Artocarpus heterophyllus) seed flours by Donald Sévérin Dangang Bossi, Saint-Victorien Ganota, Stéphano Tambo Téné, Marc Bertrand Dandji Saah, Ghislain Maffo Tazoho, Pegui Michel Kemtsop, François Zambou Ngoufack

    Published 2024-12-01
    “…To this end, Jackfruit seeds were divided into four batches: the first batch was considered as control (untreated), and others were roasted, blanched, soaked plus cooked, respectively. …”
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    Article
  7. 367

    Chemical Profiling of the Street Drug Nyaope in South Africa using GC-MS. by E.M. Mwenesongole, P.M. Mthembi, M.D. Cole

    Published 2024-12-01
    “…The contents of Nyaope can differ within batches making it a challenge to profile. We present an analytical method for the storage, extraction, identification, and profiling of Nyaope. …”
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  8. 368

    Unveiling the power of high-dimensional cytometry data with cyCONDOR by Charlotte Kröger, Sophie Müller, Jacqueline Leidner, Theresa Kröber, Stefanie Warnat-Herresthal, Jannis Bastian Spintge, Timo Zajac, Anna Neubauer, Aleksej Frolov, Caterina Carraro, DELCODE Study Group, Frank Jessen, Simone Puccio, Anna C. Aschenbrenner, Joachim L. Schultze, Tal Pecht, Marc D. Beyer, Lorenzo Bonaguro

    Published 2024-12-01
    “…Additionally, the advanced analytical features of cyCONDOR, such as pseudotime analysis and batch integration, provide researchers with the tools to extract deeper insights from their data. …”
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    Article
  9. 369

    Enhancing Bioconversion of Crude Glycerol into Butanol and 1,3-Propanediol After Pretreatment by Coupling Fermentation and In Situ Recovery: Effect of Initial pH Control by Alejandro Ortega, Alejo Valles, Miguel Capilla, Carmen Gabaldón, Francisco Javier Álvarez-Hornos, Paula Marzal

    Published 2025-06-01
    “…The effect of media composition (iron, yeast extract, and vitamins) on solvents production was assessed by a full factorial design with pure glycerol. …”
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  10. 370
  11. 371

    High-Efficiency Nanospheres from Watermelon Rinds for Enhanced Chromium(vi) Bioreduction in Simulated Wastewater and Industrial Effluents by Kassimu, H., Nzelibe, H. C., Isa, M. T., Kassimu, A. A., Bello, L. B., Sallau, A. B.

    Published 2025-06-01
    “…Watermelon rinds (WMR) were extracted using the maceration method (70% methanol), encapsulation technique was used for the immobilisation of WMR in the production of nanoparticles, and a batch process was used for the study.  …”
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  12. 372

    A New and Tested Ionospheric TEC Prediction Method Based on SegED-ConvLSTM by Yuanhang Liu, Yingkui Gong, Hao Zhang, Ziyue Hu, Guang Yang, Hong Yuan

    Published 2025-03-01
    “…Furthermore, we analyzed the influence of different batch sizes on model training accuracy to find the best performance of each model. …”
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  13. 373

    Spatial Analysis of Bioclimatic Vulnerability of Kermanshah Facing Heat Wave by Hossein Yavari, Mstafa Karampour, Dariush Yarahmadi

    Published 2019-06-01
    “…In this regard, the heat waves of Kermanshah synoptic station were extracted during 2000-2015, and the heat wave in July from 7 to 13 was selected as the case study. …”
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  14. 374

    Development and characterisation of brown seaweed hydrolysates and fermentates with potential to reduce enteric methane by Goldy De Bhowmick, Dilip K. Rai, Oyenike Olatunji, Kieran Kilcawley, Iwona Skibinska, Emer Shannon, Deirdre Kennedy, Desmond Walsh, Leticia Mora, Maria Hayes

    Published 2025-07-01
    “…Inhibition of M. maripaludis and M. ruminantium was observed in the presence of MWCO extracts generated from the treated seaweeds using the 96-well microtiter plate and well diffusion assays at concentrations of 1 mg/mL. …”
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  15. 375
  16. 376

    Real-Time Detection of Meningiomas by Image Segmentation: A Very Deep Transfer Learning Convolutional Neural Network Approach by Debasmita Das, Chayna Sarkar, Biswadeep Das

    Published 2025-04-01
    “…The deep convolutional layers automatically extract important and dependable information from the input space, in contrast to more traditional neural network layers. …”
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  17. 377

    Combined analysis of embryonic gonadal development differences of mulard duck and muscovy duck using long non-coding RNAs and mRNAs by LI Li, ZHANG Linli, XIN Qingwu, MIAO Zhongwei, ZHU Zhiming, QIU Junzhi, HAO Xiaona, HUANG Qinlou, ZHENG Nenzhu

    Published 2023-10-01
    “…In summary, this study obtains a batch of key mRNAs and lncRNAs that may affect duck embryonic gonadal development, and it is speculated that the differential lncRNAs can regulate the expression of differential genes. …”
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    Article
  18. 378

    Towards predicting posttraumatic stress symptom severity using portable EEG-derived biomarkers by Ashritha Peddi, Mohammad S. E. Sendi, Sean T. Minton, Ryan Langhinrichsen-Rohling, Cecilia A. Hinojosa, Emma West, Kerry J. Ressler, Vince D. Calhoun, Sanne J. H. van Rooij

    Published 2025-02-01
    “…We calculated the partial correlation between the EEG variables and PCL- 5 measured closest to the EEG session, using age, sex, and the grouping variable ‘batch’ as covariates. We observed a significant negative correlation between Shannon entropy in fronto- temporal regions and PCL-5 scores. …”
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  19. 379
  20. 380

    Bio-induced overproduction of heterocycloanthracin-like bacteriocin in Lysinibacillus macroides by Aspergillus austroafricanus: optimization of medium conditions and evaluation of... by Philomena Edet, Maurice Ekpenyong, Atim Asitok, David Ubi, Cecilia Echa, Uwamere Edeghor, Sylvester Antai

    Published 2025-05-01
    “…The RSM model predictions were optimized, validated, and scaled up in a 5-L bioreactor via submerged batch fermentation. The BAC was extracted with ethyl acetate, purified via silica gel column chromatography, and identified via semipreparative high-performance liquid chromatography using bioactive standards with known retention times. …”
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