Integrating Analytical Procedures in Routine Practices of Centralized Antiblastic Compounding Units for Valorization of Residual Compounded Drugs by Rita Patrizia Aquino, Giovanni Falcone, Paola Russo, Fabrizio Dal Piaz, Giulia Auriemma, Ferdinando Maria de Francesco, Stefania Cascone, Eduardo Nava, Pasquale Del Gaudio

“…Methods: Two different subsets of drug products were analyzed, i.e., medicines containing small molecules and medicines containing monoclonal antibodies. …”
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Bird diversity in different vegetation types in the Pacific coastal plain of Guatemala by Sofia Aguilar-Jocol, Michelle Bustamante-Castillo, Marco Tax

“…The moderate nestedness, wherein species-poor communities are subsets of more diverse ones, further implies a decline in overall biodiversity. …”
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Expression of LAIR-1 (CD305) on Human Blood Monocytes as a Marker of Hepatic Cirrhosis Progression by María Martínez-Esparza, Antonio José Ruiz-Alcaraz, Violeta Carmona-Martínez, María Dolores Fernández-Fernández, Gonzalo Antón, María Muñoz-Tornero, Miriam Lencina, Inmaculada Pagán, Jesús de la Peña, Pilar García-Peñarrubia

“…Blood monocytes exhibited higher LAIR-1 expression levels in cirrhotic patients, which were evident even in early clinical stages in all monocyte subsets, and greater in the “intermediate” inflammatory monocyte subpopulation. …”
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Assembly Sequence Planning for Rectangular Modular Robots with Accessibility Constraints by Anelize Zomkowski Salvi, Henrique Simas

“…Furthermore, the novel ASPs allow structures composed of subsets of preassembled modules and configurations with internal holes. …”
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Single-cell RNA sequencing of circulating immune cells supports inhibition of TNFAIP3 and NFKBIA translation as psoriatic arthritis biomarkers by Ameth N. Garrido, Rohan Machhar, Omar F. Cruz-Correa, Darshini Ganatra, Sarah Q. Crome, Sarah Q. Crome, Joan Wither, Joan Wither, Joan Wither, Igor Jurisica, Igor Jurisica, Igor Jurisica, Dafna D. Gladman, Dafna D. Gladman, Dafna D. Gladman

“…Differentially expressed genes (DEGs) identified through scRNA-seq were validated on classical monocytes, and CD4+ and CD8+ T cell subsets derived from an independent cohort of patients using the NanoString nCounter® platform. …”
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Artificial intelligence driven cyberattack detection system using integration of deep belief network with convolution neural network on industrial IoT by Mahmoud Ragab, Mohammed Basheri, Nasser N. Albogami, Alanoud Subahi, Omar A. Abdulkader, Hashem Alaidaros, Hassan Mousa, Abdullah AL-Malaise AL-Ghamdi

“…Next, the honey-badger algorithm (HBA) approach selects the feature subsets. Furthermore, an ensemble deep learning (DL) of two methods, namely convolutional neural networks (CNNs) and deep belief networks (DBNs) methods, are employed for classification. …”
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Early and delayed STAT1-dependent responses drive local trained immunity of macrophages in the spleen by Aryeh Solomon, Noa Bossel Ben-Moshe, Dotan Hoffman, Sébastien Trzebanski, Dror Yehezkel, Leia Vainman, Mihai G Netea, Roi Avraham

“…The temporal dynamics of TI were further elucidated, revealing both early and delayed myeloid subsets with time-dependent, cell-type-specific STAT1 signatures. …”
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Effect of HLA-G5 Immune Checkpoint Molecule on the Expression of ILT-2, CD27, and CD38 in Splenic B cells by Hana Rohn, Cordula Lang, Sabine Schramm, Falko M. Heinemann, Mirko Trilling, Anja Gäckler, Oliver Witzke, Peter A. Horn, Vera Rebmann

“…B cells are of particular interest in the context of the HLA-G-ILT-2 interaction because the ILT-2 receptor is constitutively expressed on most B cells, whereas it is only present on some subsets of T and NK cells. To characterize the effect of HLA-G5 molecules on B cells, we studied splenic B cells derived from cytomegalovirus (CMV) sero-positive donors after CMV stimulation with antigens in the presence and absence of soluble HLA-G5. …”
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Model Selection from Multiple Model Families in Species Distribution Modeling Using Minimum Message Length by Zihao Wen, David L. Dowe

“…To find the relevant features efficiently, we further develop a novel search algorithm that does not require calculating the message length for all possible subsets of features. Experimental results demonstrate that our proposed method outperforms competing methods by selecting the best models on both artificial and real-world datasets. …”
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Evaluating Executive Functions in Patients with Juvenile Myoclonic Epilepsy Using Frontal Assessment Battery by Hossein Sanjari Moghaddam, Masoud Doost Hoseini, Mohammad Reza Khaleghi, Abbas Tafakhori, Mahsa Dolatshahi, Shayan Pourmirbabaei, Elmira Agah, Shakila Meshkat, Vajiheh Aghamollaii

“…The participants were assessed using six subsets of FAB, including conceptualization, mental flexibility, motor programming, sensitivity to interference, inhibitory control, and environmental autonomy. …”
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Pyrroloquinoline Quinone Administration Alleviates Allergic Airway Inflammation in Mice by Regulating the JAK-STAT Signaling Pathway by Zhihui Min, Jiebai Zhou, Ruolin Mao, Bo Cui, Yunfeng Cheng, Zhihong Chen

“…The changes in T cell subsets and signal transducers and activators of transcription (STATs) were evaluated by flow cytometry. …”
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Weimar, anno 1797 : le moment anthropologique dans la genèse de Faust by René-Marc Pille

“…Cette adéquation entre le personnage de Faust et l’humanité trouve son expression dramatique dans le Prologue au ciel, théâtre du monde au sens baroque qui succède de manière symétrique au monde du théâtre, représenté dans le volet précédent. …”
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Assessment of Bowel Preparation Using Low-Volume Sulphate-Based Preparations in Comparison with Macrogols: A Multicenter, Randomized, Comparative Clinical Study of the 3rd Phase by E. D. Fedorov, V. V. Veselov, S. V. Kashin, E. V. Tikhomirova, A. V. Veselov, D. V. Zavyalov, A. Kornowski, T. E. Gorskaya, M. Volteau, T. Ponchon

“…NCT02321462.Conflict of interest: this study was sponsored by Ipsen Pharma.Acknowledgements: the authors express their sincere gratitude to all the patients who participated in the study, as well as to specialists having provided medical care for the patients, researchers and employees of the participant research centres. …”
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Bioinformatics Analysis of miRNAs Targeting TRAF5 in DLBCL Involving in NF-κB Signaling Pathway and Affecting the Apoptosis and Signal Transduction by Chunyao Li, Lanshan Huang, Yongqin Wen, Muhua Yi, Min Gao

“…Diffuse large B-cell lymphoma (DLBCL) is an aggressive B-cell lymphoma with high heterogeneity. There is an unmet need to investigate valid indicators for the diagnosis and therapy of DLBCL. …”
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A Cell Differentiation Trajectory-Related Signature for Predicting the Prognosis of Lung Adenocarcinoma by Fan Yang, Yan Zhao, Xiaohan Huang, Jin Zhang, Ting Zhang

“…A nomogram evaluation model was used to predict prognosis. Results. Two subsets with distinct differentiation states were found after cell differentiation trajectory analysis. …”
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Dendritic cell maturation, but not type I interferon exposure, restricts infection by HTLV-1, and viral transmission to T-cells. by Gergès Rizkallah, Sandrine Alais, Nicolas Futsch, Yuetsu Tanaka, Chloé Journo, Renaud Mahieux, Hélène Dutartre

“…We previously demonstrated that monocyte-derived IL-4 DCs are more susceptible to HTLV-1 infection than autologous primary T-cells, suggesting that DC infection precedes T-cell infection. …”
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Solving the maximum cut problem using Harris Hawk Optimization algorithm. by Md Rafiqul Islam, Md Shahidul Islam, Pritam Khan Boni, Aldrin Saurov Sarker, Md Asif Anam

“…The objective of the max-cut problem is to cut any graph in such a way that the total weight of the edges that are cut off is maximum in both subsets of vertices that are divided due to the cut of the edges. …”
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Impact of coronavirus (COVID-19) pandemic on physical activity levels in different sub-populations of Iranians: a national survey by Hamid Arazi, Behzad Taati

“…Therefore, the aim of this study was to investigate the impact of the COVID-19 pandemic on PA levels across diverse population subsets in Iran and to identify the barriers to PA during the fifth wave of COVID-19 outbreak. …”
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Microbiologic studies on mastitis in sheep by Mehmet ATEŞ, Osman ERGANİŞ, Osman KAYA, Mehmet ÇORLU

“…<p> Microbiologic isolation were succeded from (75.0 %) 81 samples of 108 mastitic milk. …”
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Cetacean feeding modelling using machine learning: A case study of the Central-Eastern Mediterranean Sea by Carla Cherubini, Giulia Cipriano, Leonardo Saccotelli, Giovanni Dimauro, Giovanni Coppini, Roberto Carlucci, Carmelo Fanizza, Rosalia Maglietta

“…Behavioural data from April 2016 to October 2023, coupled with 20 environmental variables from Copernicus Marine Service and EMODnet-bathymetry datasets, were used to build Cetacean Feeding Models (CFMs) for the target species using Random Forest and RUSBoost algorithms. Multiple subsets of environmental predictors—physiographic, physical, inorganic, and bio-chemical—were employed to develop and evaluate ML models tailored to feeding prediction. …”
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