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  1. 60581

    Patient‐derived acellular ascites fluid affects drug responses in ovarian cancer cell lines through the activation of key signalling pathways by Katharina Bischof, Andrea Cremaschi, Lena Eroukhmanoff, Johannes Landskron, Lise‐Lotte Flage‐Larsen, Alexandra Gade, Line Bjørge, Alfonso Urbanucci, Kjetil Taskén

    Published 2025-01-01
    “…We also show that AAFs induce time‐ and concentration‐dependent activation of downstream signalling to signal transducer and activator of transcription 3 (STAT3), and concomitantly altered phosphorylation of mitogen‐activated protein kinase kinase (MEK), phosphoinositide 3‐kinase (PI3K)–protein kinase B (AKT) and nuclear factor NF‐kappa‐B (NFκB). …”
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  2. 60582

    External particle mixing influences hygroscopicity in a sub-urban area by S. Deshmukh, L. Poulain, B. Wehner, S. Henning, J.-E. Petit, P. Fombelle, P. Fombelle, O. Favez, H. Herrmann, M. Pöhlker, M. Pöhlker

    Published 2025-01-01
    “…During the ACROSS campaign (Atmospheric ChemistRy Of the Suburban foreSt, conducted in Paris in summer 2022), particles' hygroscopic growth rates at 90 % relative humidity (RH) and chemical composition were measured at the sub-urban site using a Hygroscopicity Tandem Differential Mobility Analyser (HTDMA, scanning at 100, 150, 200, and 250 nm) and an Aerodyne High-Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS). …”
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  3. 60583
  4. 60584

    Nutrient Formulation—A Sustainable Approach to Combat PRSV and Enhance Productivity in Papaya by Kavitha Chinnasamy, Naveen Kumar Krishnan, Moganapathi Balasubramaniam, Reena Balamurugan, Pugalendhi Lakshmanan, Kalarani M. Karuppasami, Manoranjitham S. Karuppannan, Elaiyabharathi Thiyagarajan, Senthil Alagarswamy, Saraladevi Muthusamy

    Published 2025-01-01
    “…Experiments were conducted to standardize the application time and evaluate the efficacy of nutrient formulation in enhancing yield, and to combat papaya ring spot virus (PRSV) incidence in papaya from January 2021 to December 2023 at Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India. …”
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  5. 60585

    Understanding the dynamics driving obesity in socioeconomically deprived urban neighbourhoods: an expert-based systems map by Fleur ter Ellen, Joost Oude Groeniger, Karien Stronks, Luc L. Hagenaars, Carlijn B.M. Kamphuis, Joreintje D. Mackenbach, Mariëlle A. Beenackers, Karen Freijer, Pieter Coenen, Maartje Poelman, Karen M. Oude Hengel, Frank J. van Lenthe

    Published 2025-01-01
    “…These deeper system dynamics further reinforced chronic stress, sedentary behaviour, sleeping problems, unhealthy diets and reduced physical activity over time. In turn, these dynamics led to the emergent result of rising obesity prevalence in socioeconomically deprived urban neighbourhoods over the past decades. …”
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  6. 60586

    Trying to Kill a Killer; Impressive Killing of Patient Derived Glioblastoma Cultures Using NK-92 Natural Killer Cells Reveals Both Sensitive and Highly Resistant Glioblastoma Cells by Jane Yu, Hyeon Joo Kim, Jordyn Reinecke, James Hucklesby, Tennille Read, Akshata Anchan, Catherine E. Angel, Euan Scott Graham

    Published 2025-01-01
    “…Of value in this study has been the application of ECIS (Electric Cell–Substrate Impedance Sensing) biosensor technology to monitor the glioblastoma cells in real-time, enabling temporal assessment of the NK-92 cells. …”
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  7. 60587

    Laying the groundwork: Exploring pesticide exposure and genetic factors in south-eastern Brazilian farmers by Débora Dummer Meira, Victor Nogueira Da Gama Kohls, Matheus Correia Casotti, Luana Santos Louro, Gabriel Mendonça Santana, Thomas Erik Santos Louro, Adriana Madeira Alvares da Silva, Lorena Souza Castro Altoé, Raquel Reis Trabach, Sonia Groisman, Elizeu Fagundes de Carvalho, Jamila Alessandra Perini Machado, Stephanie Seneff, Iúri Drumond Louro

    Published 2025-01-01
    “…The allelic frequency of CYP2C9*1, CYP2C9*2 and CYP2C9*3 was determined in blood samples from individuals exposed or not to pesticides using real-time PCR. 304 blood samples were analyzed, dividing CYP2C9 genotypes into three metabolization classes: normal, intermediate, and slow. …”
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  8. 60588

    Experimental Study on Electric Resistivity Characteristics of Compacted Loess under Different Loads and Drying-Wetting Cycles by Yu Zhou, Guoyu Li, Wei Ma, Dun Chen, Fei Wang, Yuncheng Mao, Qingsong Du, Jun Zhang, Liyun Tang

    Published 2021-01-01
    “…During the uniaxial compression process, the electric resistivity corresponds to both the stress and strain of loess in real-time. The electrical resistivity of loess reflects plastic damage under uniaxial unloading-reloading tests, but it is deficient in representing the dissipated energy of loess. …”
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  9. 60589

    Functional gastrointestinal disorders predictors in neonates and toddlers: A machine learning approach to risk assessment by Flavia Indrio, Elio Masciari, Flavia Marchese, Matteo Rinaldi, Gianfranco Maffei, Ilaria Gangai, Assunta Grillo, Roberta De Benedetto, Enea Vincenzo Napolitano, Isadora Beghetti, Luigi Corvaglia, Antonio Di Mauro, Arianna Aceti

    Published 2025-01-01
    “…Conclusion: For the first time machine learning allowed to identify BW, cord blood pH and maternal age as important variable for risk prediction of FGIDs in the first year of life. …”
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  10. 60590

    Automatic detection, identification and counting of deep-water snappers on underwater baited video using deep learning by Florian Baletaud, Florian Baletaud, Florian Baletaud, Sébastien Villon, Antoine Gilbert, Jean-Marie Côme, Sylvie Fiat, Corina Iovan, Laurent Vigliola

    Published 2025-02-01
    “…Stereo-Baited Remote Underwater Video Stations (BRUVS) can provide valuable quantitative information on fish stocks, but manually processing large amounts of videos is time-consuming and sometimes unrealistic. To address this issue, we used a Region-based Convolutional Neural Network (Faster R-CNN), a deep learning architecture to automatically detect, identify and count deep-water snappers in BRUVS. …”
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  11. 60591
  12. 60592
  13. 60593

    Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to address their fine-scale spatiotemporal heterogeneity, drivers, and predict... by Taconet, Paul, Soma, Dieudonné Diloma, Zogo, Barnabas, Mouline, Karine, Simard, Frédéric, Koffi, Alphonsine Amanan, Dabiré, Roch Kounbobr, Pennetier, Cédric, Moiroux, Nicolas

    Published 2024-01-01
    “…We interpreted and discussed these associations in light of several topics of interest, such as: respective contribution of public health and agriculture in the selection of physiological resistances, biological costs associated with physiological resistances, biological mechanisms underlying biting behaviour, and impact of micro-climatic conditions on the time or place of biting. To our knowledge, our work is the first modeling insecticide resistance and feeding behaviour of malaria vectors at such fine spatial scale with such a large dataset of both mosquito and environmental data. …”
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  14. 60594

    Genome-Wide Identification and Expression Analysis of Eggplant Reveals the Key MYB Transcription Factor Involved in Anthocyanin Synthesis by Jiaqi Ai, Wuhong Wang, Tianhua Hu, Haijiao Hu, Yaqin Yan, Jinglei Wang, Yunzhu Wang, Na Hu, Hongtao Pang, Chonglai Bao, Qingzhen Wei

    Published 2024-12-01
    “…The quantitative real-time PCR (qRT-PCR) analysis results showed that SmeMYB175 was regarded as the most likely key transcription factor regulating anthocyanin synthesis in calyx. …”
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  15. 60595

    Analysis of different therapeutic schemes combining cyclophosphamide and doublestranded DNA preparation for eradication of Krebs-2 primary ascites in mice by E. A. Potter, E. V. Dolgova, A. M. Minkevich, V. P. Nikolin, N. A. Popova, Ya. R. Efremov, S. I. Baiborodin, V. A. Rogachev, A. S. Proskurina, A. V. Kozel, O. S. Taranov, V. V. Omigov, E. I. Vereschagin, D. B. Petrov, A. A. Ostanin, E. R. Chernykh, N. A. Kolchanov, S. S. Bogachev

    Published 2016-03-01
    “…Further, we demonstrate that repeated rounds of CP+dsDNA injections result in dramatic anticancer effect. The timing of injections is chosen so that they target the cells that were insensitive to the previous treatments as they were in the G2/M phase. 3-4 rounds of injections are needed to eliminate the subpopulation of tumor-initiating cancer stem cells. …”
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  16. 60596

    Process Optimization and Antioxidant Activity of Pine Needle Essential Oil Extracted by Microwave-assisted Extraction by Suyuan LÜ, Bingqing SHANG, Luyan SUN, Guolong LIU, Fa ZHAO, Xiuqing LIANG, Qiu WU, Yue GENG

    Published 2025-01-01
    “…Results: The optimal extraction processes were as follows: extraction time 55 min, microwave power 550 W, liquid-to-solid ratio 10:1 mL/g, the predicted yield was 0.245%, and the validation result of the optimized process was 0.238%. …”
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  17. 60597

    Adverse drug events (ADEs) risk signal mining related to eculizumab based on the FARES database by Xi-Feng Wang, Lu-Ri Bao, Ta-La Hu, Rui-Feng Xu, Wu-Niri Gao, Jing-Yuan Wang, Jian-Rong Zhao, Zhen-Li Fu, Shu-Fang Wang, Yan Meng

    Published 2025-01-01
    “…Some PTs, such as aplastic anemia, gene mutation, mastication disorder, kidney fibrosis, BK virus infection, abnormal neutrophil count, C3 glomerulopathy, neuroblastoma, and glomerulonephritis membranoproliferative, were also detected outside the instructions. The median time to onset of eculizumab adverse events was 159 days (interquartile range [IQR] 11∼738 days). …”
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  18. 60598

    Carnitine palmitoyltransferase 1C promotes EMT-associated cisplatin resistance in non-small cell lung cancer cells by Renjie Chen, Jiahui Wang, Shuoyu Huang, Xuefeng Hu, Xinran He, Tiange Zhang, Yunhan Hu, Huijun Wei, Sihui Nian, Yushu Huang, Zhihao Wu

    Published 2025-01-01
    “…Conclusions: These data provide evidence for the first time that the lipid metabolism enzyme, CPT1C, mediates resistance to chemotherapy. …”
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  19. 60599

    Treatment and Outcomes of Pancreatic Cancer in Armenia: A Retrospective Study From Resource-Limited Settings by Elen Baloyan, Davit Zohrabyan, Liana Safaryan, Armen Avagyan, Lilit Harutyunyan, Vardan Bardakhchyan, Jemma Arakelyan, Amalya Sargsyan, Martin Harutyunyan, Mariam Mailyan, Gevorg Tamamyan, Samvel Bardakhchyan

    Published 2025-01-01
    “…The median age at diagnosis was 63 years. The median follow-up time was 11 months (range, 2-146). A total of 11.4% of patients had stage I-II, 27.1% had stage III, and 60% had stage IV disease. …”
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  20. 60600

    Weekend-Based Parent-Group Intervention to Reduce Stress in Parents of Children and Adolescents with Type 1 Diabetes: A Pilot Study by Lucia Ferrito, Barbara Predieri, Dorina Pjetraj, Maria Cristina Alessandrelli, Manuela Pagnini, Antonio Iannilli, Monica Marino, Stefano Tombolini, Basilio Pintaudi, Giuseppe Lucisano, Fabiana Zani, Lorenzo Iughetti, Antonio Nicolucci, Valentino Cherubini

    Published 2019-01-01
    “…Intervention was based on the reexamination of the traumatic event of diagnosis of T1D through spatial and time-line anchorage, retracing of the future, emotional awareness, and interactive discussion. …”
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