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  1. 16401

    A New Digital to Analog Converter Based on Low-Offset Bandgap Reference by Jinpeng Qiu, Tong Liu, Xubin Chen, Yongheng Shang, Jiongjiong Mo, Zhiyu Wang, Hua Chen, Jiarui Liu, Jingjing Lv, Faxin Yu

    Published 2017-01-01
    “…The measured differential nonlinearity (DNL) of the output voltages is less than 0.45 LSB and integral nonlinearity (INL) less than 1.5 LSB at room temperature, consuming only 3.5 mW from a 5 V supply voltage. …”
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  2. 16402

    AI-Professional Development Model for Chemistry Teacher: Artificial Intelligence in Chemistry Education by Bekir Yildirim, Ahmet Tayfur Akcan

    Published 2024-10-01
    “…It was also highlighted that teachers should acquire domain-specific knowledge, skills, and competencies in the areas where artificial intelligence will be integrated. When examining the recommendations of artificial intelligence (ChatGPT and Gemini), it was found that they addressed similar content to the information included in the document analysis. …”
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  3. 16403

    Conversational Health Bots for Telemedicine Services: Survey by Sura Mahmood Abdullah, Abbas Mohsin Al-bakry, Alaa Kadhem Farhan

    Published 2024-12-01
    “…To improve the health status and clinical findings of older and underserved individuals, healthcare institutions have expanded telemedicine services, integrating them with advanced assisted living systems and environments. …”
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  4. 16404

    INSIGHTS INTO ETHICAL PERCEPTION IN ACCOUNTING EDUCATION by Diana-Elisabeta MATICA, Edi-Cristian DUMITRA, Dana LUPU (CONSTANTINICA)

    Published 2024-12-01
    “…Recently, ethics has become increasingly central in higher education, with more and more researchers and educators focusing on its integration into curricula and academic practice. The renewed attention to ethical aspects in accounting is evident, with notable references to past scandals such as Enron, WorldCom, and Tyco, highlighting the risks of unethical behaviour. …”
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  5. 16405

    Hand Detection Using Cascade of Softmax Classifiers by Yan-Guo Zhao, Feng Zheng, Zhan Song

    Published 2018-01-01
    “…To tackle such problems, in this work, an efficient cascade detector that integrates multiple softmax-based binary (SftB) models and a softmax-based multiclass (SftM) model is investigated to perform multiclass posture detection in parallel. …”
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  6. 16406

    High-Precision prediction of curling trajectory multivariate time series using the novel CasLSTM approach by Yanan Guo, Jing Jin, Hongyang Zhao, Yu Jiang, Dandan Li, Yi Shen

    Published 2025-01-01
    “…This paper puts forward an innovative deep learning approach, CasLSTM, by introducing integrated inter-layer memory, and establishes an encoder-predictor curling trajectory forecasting model accordingly. …”
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  7. 16407

    A Comparison of Classification Algorithms for Predicting Dis-tinctive Characteristics in Fine Aroma Cocoa Flowers Using WE-KA Modeler by Daniel Tineo, Yuriko S. Murillo, Mercedes Marín, Darwin Gomez, Victor H. Taboada, Malluri Goñas, Lenin Quiñones Huatangari

    Published 2024-09-01
    “…It also highlights the need to further improve these models by integrating additional techniques to increase their efficiency and extend the data mining approach to other agricultural sectors. …”
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  8. 16408

    Data Mining Mycobacterium tuberculosis Pathogenic Gene Transcription Factors and Their Regulatory Network Nodes by Guangxin Yuan, Yu Bai, Yuhang Zhang, Guangyu Xu

    Published 2018-01-01
    “…Based on the differentially expressed gene, the transcriptional regulatory element databases (TRED) were integrated to construct the M. tuberculosis pathogenic gene regulatory network, and the correlation of the network genes with disease was analyzed with the DAVID online annotation tool. …”
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  9. 16409

    Piezo1-directed neutrophil extracellular traps regulate macrophage differentiation during influenza virus infection by Yuexin Wang, Qiuli Yang, Yingjie Dong, Likun Wang, Zhiyuan Zhang, Ruiying Niu, Yufei Wang, Yujing Bi, Guangwei Liu

    Published 2025-01-01
    “…In addition, Piezo1 integrates magnesium signalling and the SIRT2-hypoxia-inducible factor-1 alpha (HIF1α)-dependent pathway to orchestrate reciprocal M1 and M2 macrophage lineage commitment through neutrophil-derived NET DNA. …”
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  10. 16410

    Genome-wide transcriptomics revealed carbon source-mediated gamma-aminobutyric acid (GABA) production in a probiotic, Lactiplantibacillus pentosus 9D3 by Nachon Raethong, Pitakthai Chamtim, Roypim Thananusak, Kanyawee Whanmek, Chalat Santivarangkna

    Published 2025-01-01
    “…., glucose, sucrose, and lactose, notably sugar phosphotransferase systems (PTS) (11 genes), indicating carbon source-mediated transcriptional change patterns in L. pentosus 9D3. The integration of transcriptome data with a genome-scale metabolic network (GSMN) revealed that L. pentosus 9D3 displays adaptability by synthesizing GABA as an alternative acid-tolerant mechanism when lactose is used as a carbon source rather than depending on the fatty acid synthesis and the arginine catabolic pathway. …”
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  11. 16411

    IBS as a diverse disease. A comprehensive review by Adrianna Dylik, Weronika Gryczyńska, Mikołaj Musiał, Łukasz Krawczak, Hanna Gulaczyk, Jan Spychalski, Mikołaj Kaczmarek, Wiktoria Grochowska, Maria Spychalska

    Published 2025-01-01
    “…Furthermore, a clear conclusion has been established that, the psychological dimension—integral to both the disease and its management—emerges as a critical factor that warrants careful consideration and should not be underestimated.  …”
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  12. 16412

    SerpensGate-YOLOv8: an enhanced YOLOv8 model for accurate plant disease detection by Yongzheng Miao, Yongzheng Miao, Wei Meng, Wei Meng, Xiaoyu Zhou, Xiaoyu Zhou

    Published 2025-01-01
    “…Key enhancements include the incorporation of Dynamic Snake Convolution (DySnakeConv) into the C2F module, which improves the detection of intricate features in complex structures, and the integration of the SPPELAN module, combining Spatial Pyramid Pooling (SPP) and Efficient Local Aggregation Network (ELAN) for superior feature extraction and fusion. …”
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  13. 16413

    Current development and future prospects of multi-target assignment problem: A bibliometric analysis review by Shuangxi Liu, Zehuai Lin, Wei Huang, Binbin Yan

    Published 2025-01-01
    “…Finally, a development framework is proposed based on the ''HIGH'' model (high-speed, integrated, great, harmonious) to guide future research and intelligent weapon system development concerning the MTA problem. …”
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  14. 16414

    Multivariate Statistics and Supervised Learning for Predictive Detection of Unintentional Islanding in Grid-Tied Solar PV Systems by Shashank Vyas, Rajesh Kumar, Rajesh Kavasseri

    Published 2016-01-01
    “…Integration of solar photovoltaic (PV) generation with power distribution networks leads to many operational challenges and complexities. …”
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  15. 16415

    Mechanisms and Emerging Regulators of Neuroinflammation: Exploring New Therapeutic Strategies for Neurological Disorders by Mi Eun Kim, Jun Sik Lee

    Published 2024-12-01
    “…Future studies should concentrate on integrated, interdisciplinary methods to reduce chronic neuroinflammation and slowing the progression of neurodegenerative disorders, providing opportunities for revolutionary advances in CNS therapies.…”
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  16. 16416

    COVID-19 vaccines as a game-changing tool? A corpus-based study of vaccine communication in People's Daily and The New York Times by Zhihan Wen, Ming Liu, Changpeng Huan

    Published 2025-01-01
    “…Considering the significance and potential consequences of the fierce strategic rivalry between the U.S. and China, this study integrates corpus linguistics and critical discourse analysis to examine the discursive construction of COVID-19 vaccines in two leading newspapers from both countries: People's Daily and The New York Times. …”
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  17. 16417

    Efficient and accurate determination of the degree of substitution of cellulose acetate using ATR-FTIR spectroscopy and machine learning by Frank Rhein, Timo Sehn, Michael A. R. Meier

    Published 2025-01-01
    “…Using the DS obtained from 1H NMR data as reference, the machine learning model achieved a mean absolute error (MAE) of 0.069 in DS on test data, demonstrating higher accuracy compared to the manual evaluation based on peak integration. Limiting the model to physically relevant areas unexpectedly showed the $${\hbox {C}{-}\hbox {H}}$$ peak to be the strongest predictor of DS. …”
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  18. 16418

    Investigation of a Biochemical Model with Recycling in Case of Negative Cooperativity by Svetoslav G. Nikolov, Vassil M. Vassilev, Momchil I. Nenov

    Published 2025-01-01
    “…., defective enzyme), we obtain that the modified system has a first integral.…”
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  19. 16419

    Catalyzing digital transformation through Smart Cities initiatives in Indonesian local government by Rio Yusri MAULANA, Usman MARJAMAT, Dimas SUBEKTI, Agung WICAKSONO

    Published 2025-01-01
    “…We identify significant challenges such as leadership commitment, digital talent resources, silos, and data integration deficiencies, emphasizing the need for sincere collaboration and advancing data interoperability. …”
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  20. 16420

    Temporal Requirements of cMyc Protein for Reprogramming Mouse Fibroblasts by Corey Heffernan, Huseyin Sumer, Luis F. Malaver-Ortega, Paul J. Verma

    Published 2012-01-01
    “…Thus, the feasibility of substituting cMyc transgene with (non-integrative) recombinant “pTAT-mcMyc” protein delivery was assessed, without compromising reprogramming efficiency or the pluripotent phenotype. …”
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