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  1. 3921

    Essential Oils from <i>Papaver rhoeas</i> and Their Metabolomic Profiling by Valeria Cavalloro, Francesco Saverio Robustelli della Cuna, Alberto Malovini, Carla Villa, Cristina Sottani, Matteo Balestra, Francesco Bracco, Emanuela Martino, Simona Collina

    Published 2024-12-01
    “…Recently, new techniques have been developed, like solvent-free microwave extraction (SFME), able to enhance efficiency and sustainability. …”
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    Article
  2. 3922

    Case Report: Disseminated leishmaniasis and rheumatoid arthritis: navigating a clinical conundrum by Endrit Shahini, Donatello Marziliano, Francesco Losito, Marianna Zappimbulso, Elisabetta Cavalcanti, Raffaele Armentano, Fabio Fucilli, Raffaele Cozzolongo, Giuseppe Ingravallo, Fabrizio Pappagallo, Roberta Iatta, Vanessa Desantis, Annalisa Saracino, Angelo Vacca, Antonio Giovanni Solimando

    Published 2025-06-01
    “…The non-specific histopathological findings from the pyoderma gangrenosum-like lesion and the transient clinical response to empirical steroids, broad-spectrum antibiotics, and granulocyte colony-stimulating factors further complicated the diagnostic process. …”
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  3. 3923

    An overview on developing the formulation to keep away the food impact on absorption by Gangadhar B. Magar, Umesh D. Laddha, Sachin S. Gaikwad, Shruti V. Wani, Neelam L. Dashputre, Smita P. Kakad

    Published 2025-01-01
    “…However; the physicochemical factors of drug and biological processes significantly affects the absorption of drug. …”
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  4. 3924

    Systems Biology of Recombinant 2G12 and 353/11 mAb Production in CHO-K1 Cell Lines at Phosphoproteome Level by Eldi Sulaj, Felix L. Sandell, Linda Schwaigerlehner, Gorji Marzban, Juliane C. Dohm, Renate Kunert

    Published 2025-02-01
    “…Using MaxQuant and Perseus for data analysis, we identified 2109 proteins and quantified 4059 phosphosites. …”
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  5. 3925

    Advanced active learning techniques for precision-driven machine-learned potentials in Sb2S3 by V. Priyadarshini, P. Nemthianhoi Zou, Debashish Dash, Sanskriti Mahata, Manwendra Chauhan, Kumar Akash

    Published 2025-09-01
    “…The active learning loop systematically identified high-uncertainty configurations, which were refined through Density Functional Theory (DFT) calculations to interact with improving model accuracy. This iterative, data-efficient learning process not only significantly reduced computational expense but also yielded remarkable accuracy in predicting energies, atomic forces, and stress tensors. …”
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  6. 3926

    COSP-RTTOV-1.0: flexible radiation diagnostics to enable new science applications in model evaluation, climate change detection, and satellite mission design by J. K. Shaw, J. K. Shaw, D. J. Swales, S. DeSouza-Machado, D. D. Turner, J. E. Kay, J. E. Kay, D. P. Schneider

    Published 2025-08-01
    “…As direct observations, spectral radiation fields are also largely free of uncertainties that accumulate during geophysical retrieval and data assimilation processes. Comparing these direct observations with Earth system models (ESMs), however, is hindered by definitional differences between the radiation fields satellites observe and those generated by models. …”
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  7. 3927

    A systematic review of deep learning methods for community detection in social networks by Mohamed El-Moussaoui, Mohamed Hanine, Ali Kartit, Monica Garcia Villar, Monica Garcia Villar, Monica Garcia Villar, Helena Garay, Helena Garay, Helena Garay, Isabel de la Torre Díez

    Published 2025-08-01
    “…IntroductionThe rapid expansion of generated data through social networks has introduced significant challenges, which underscores the need for advanced methods to analyze and interpret these complex systems. …”
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  8. 3928

    Reliability of an Inertial Measurement System Applied to the Technical Assessment of Forehand and Serve in Amateur Tennis Players by Lucio Caprioli, Cristian Romagnoli, Francesca Campoli, Saeid Edriss, Elvira Padua, Vincenzo Bonaiuto, Giuseppe Annino

    Published 2025-01-01
    “…This research involved a group of amateur players who performed a series of standardized gestures (forehands and serves) wearing a sensorized chest strap fitted with a wireless inertial unit. The collected data were processed to extract performance metrics. …”
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  9. 3929

    Real-time freshness prediction for Apples and Lettuces using imaging recognition and advanced algorithms in a user-friendly mobile application by Chrysanthos Maraveas, George Kalitsios, Marianna I. Kotzabasaki, Dimitrios V. Giannopoulos, Kosmas Dimitropoulos, Anna Vatsanidou

    Published 2025-12-01
    “…To meet these standards, fresh fruits and fresh-cut vegetables in supermarkets and other commercial outlets undergo rigorous sorting processes. Quality assessments typically focus on visible characteristics such as color, ripeness, shape uniformity, defect-free skin and flesh, and texture features like firmness, toughness, and tenderness. …”
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  10. 3930

    OsAPSE modulates non-covalent interactions between arabinogalactan protein O-glycans and pectin in rice cell walls by Tibo De Coninck, Isabel Verbeke, Pierre Rougé, Tom Desmet, Els J. M. Van Damme

    Published 2025-05-01
    “…Seed germination is a fast-paced developmental process in which cell wall adaptability is highly required. …”
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  11. 3931

    Effects of pre-CABG program on discharge readiness and surgery outcomes for patients undergoing elective CABG surgery: a study protocol for a randomised control trial by Seyed Mohammad Riahi, Ali Khanipour-Kencha, Masoumeh Zakerimoghadam, Pouya Dolat Abadi, Zahra Abbasi Dolat Abadi, Mehrzad Rahmanian

    Published 2025-04-01
    “…Introduction Cardiovascular diseases, a leading cause of death globally, impose significant health and economic burdens, particularly in countries like Iran. Coronary artery bypass grafting (CABG) is a common intervention for ischaemic heart disease, yet it entails a long recovery process with potential complications and psychological impacts. …”
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  12. 3932

    Genomic context determines the effect of DNA methylation on gene expression in the gut epithelium of Atlantic salmon (Salmo salar) by Aikaterini Katirtzoglou, Søren B. Hansen, Harald Sveier, Michael D. Martin, Jaelle C. Brealey, Morten T. Limborg

    Published 2024-12-01
    “…For instance, our results suggest the importance of genomic context in targeting epigenetic modifications to improve the welfare of aquaculture species like Atlantic salmon.…”
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  13. 3933

    Assessing Digital Performance of Public Services in the EU: E-Governance and Technology Integration by Oana Ramona Lobonț, Cristina Criste, Alexandra Ioana Vintilă, Andreea Florentina Crăciun, Nicoleta Claudia Moldovan

    Published 2025-06-01
    “…This research aims to rank the regions of the European Union based on their digital performance in public services, offering a new perspective on the digitalization process and its effects on the European public system. …”
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  14. 3934

    The relationship between psychological resilience and caregiver burden among caregivers of patients with bipolar disorder: the mediating role of coping styles by Yanfang Liu, Chunhua Sun, Yue Sun, Zao Zeng, Yuan Hu, Cong Shu, Xiaofen Li, Zhiying Wan

    Published 2025-08-01
    “…Current research overlooks how BD-specific factors like aggression influence the “resilience-coping-burden” relationship. …”
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  15. 3935

    Awareness of risk when prescribing and taking combined hormonal contraceptives (CHCs): a qualitative study with women and health professionals in three European countries by Irene Petersen, Vera Ehrenstein, Fiona A Stevenson, Paula Cristina Gomes Alves, Iveta Nagyova, Zuzana Katreniaková

    Published 2025-03-01
    “…They would like to receive further information from health professionals, particularly when it comes to risks of CHC and alternative methods of contraception. …”
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  16. 3936

    Assessing the water quality of Vatadahosahalli Lake in Chikkaballapura district, Karnataka, India by Kavitha Kapani, Nagabhushan V. Charantimath, Pavan Chikkanarayanaswamy, Uday Jayaramaiah

    Published 2024-01-01
    “…Parameters like turbidity, BOD, COD, and metals exhibited significant seasonal fluctuations, impacting overall water quality and analysis of these water quality parameters revealed that the water is polluted by various anthropogenic activities. …”
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  17. 3937

    Dynamic spatiotemporal graph network for traffic accident risk prediction by Pengcheng Zhang, Wen Yi, Yongze Song, Penggao Yan, Peng Wu, Ammar Shemery, Keith Hampson, Albert P. C. Chan

    Published 2025-12-01
    “…Our model uses channel-wise convolutional neural networks to detect spatial accident patterns across weekly, daily, and hourly time scales with automatic weight learning, simultaneously employing graph convolutional networks to process road network features, population feature while integrating external data like weather and dates. …”
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  18. 3938

    Automated and efficient Bangla signboard detection, text extraction, and novel categorization method for underrepresented languages in smart cities by Tanmoy Mazumder, Fariha Nusrat, Abu Bakar Siddique Mahi, Jolekha Begum Brishty, Rashik Rahman, Tanjina Helaly

    Published 2025-06-01
    “…This foundational task is essential to enabling transformative solutions like translation tools for non-native speakers, accessibility aids for visually impaired people, and comprehensive urban data platforms. …”
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  19. 3939

    Glycyrrhizin attenuates renal inflammation in a mouse Con A-hepatitis model via the IL-25/M2 axis by Lingyun Li, Yuanyue Zhang, Zhongyan Wang, Xiangyu Chen, Min Fang

    Published 2024-12-01
    “…Our data revealed that GL has anti-inflammatory effects on Con A-induced kidney injury and that the GL/IL-25/M2 axis participates in the anti-inflammatory process. …”
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  20. 3940

    A novel smart baby cradle system utilizing IoT sensors and machine learning for optimized parental care by Kunal Chandnani, Suryakant Tripathy, Ashutosh Krishna Parbhakar, Kshitij Takiar, Urvi Singhal, P. Sasikumar, S. Maheswari

    Published 2025-05-01
    “…This smart cradle is designed to overcome these limitations by employing a comprehensive network of sensors—including temperature, humidity, gas, noise sensors, and a cry-detection microphone—to monitor the baby’s needs and environmental conditions in real time. Microcontrollers like Raspberry Pi and NodeMCU use intelligent machine-learning algorithms to process the collected data and trigger adaptive responses. …”
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