Establishing 3D organoid models from patient-derived conditionally reprogrammed cells to bridge preclinical and clinical insights in pancreatic cancer by Jin Su Kim, Chan Hee Park, Eunyoung Kim, Hee Seung Lee, Jinyoung Lee, Jeehoon Kim, Eun Hee Kam, Sanghee Nam, Moon Jae Chung, Jeong Youp Park, Seung Woo Park, Sangwoo Kim, Galam Leem, Seungmin Bang

“…Notably, the IC50 values for the 3D organoids were generally higher, reflecting the structural complexity and drug penetration barriers observed in vivo. …”
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The Effect of Salinity on Heavy Metal Tolerance in Two Energy Willow Varieties by Kinga Drzewiecka, Zuzanna Kaźmierczak, Magdalena Woźniak, Michał Rybak

“…This study evaluated the response of two willow varieties, <i>Salix × smithiana</i> Willd. and <i>Salix viminalis</i> L. var. Gigantea, to selected heavy metals and elevated soil salinity, simulating complex environmental conditions during phytoremediation. …”
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New Trends in the Methodologies of Determination of Benzodiazepine Residues in Biological Samples by Israel S. Ibarra, Isaí Vázquez-Garrido, Gabriela Islas, Juan F. Flores-Aguilar

“…The availability of efficient analytical methods is crucial for the determination of these drugs in a complex matrix such as biological samples in clinical settings. …”
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Ontogeny of Fetal Cardiometabolic Pathways: The Potential Role of Cortisol and Thyroid Hormones in Driving the Transition from Preterm to Near-Term Heart Development in Sheep by Reza Amanollahi, Stacey L. Holman, Melanie R. Bertossa, Ashley S. Meakin, Kent L. Thornburg, I. Caroline McMillen, Michael D. Wiese, Mitchell C. Lock, Janna L. Morrison

“…The increased expression of proteins regulating mitochondrial biogenesis and OXPHOS complex 4 reflects the known transition from glycolysis to oxidative phosphorylation, essential for meeting the energy demands of the postnatal heart. …”
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Contact ion-pair SN2 reactions activated by Lewis Base Phase transfer catalysts by Ju Gyeong Jeong, Young-Ho Oh, Tae Hyun Park, Sung-Sik Lee, Dong Wook Kim, Sungyul Lee

“…In this extremely efficient and selective protocol of wide applicability, the CIP MF is activated by the Lewis base PTCs acting on the counter-cation M+ to drastically mitigate the latter’s retarding Coulomb forces on the adjacent nucleophile F-, with or without the participation of hydrogen bonds.…”
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A data-driven power consumption estimation algorithm of catenary for electrified railway by Wanqi Zhang, Shaobing Yang, Tingting He, Dylan Dah-Chuan Lu, Mingli Wu

“…Power consumption for electrified railway not only reflects the power supply capacity, energy supply efficiency and energy saving level, but also indicates potential defects and risks. …”
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Analyzing the Features, Usability, and Performance of Deploying a Containerized Mobile Web Application on Serverless Cloud Platforms by Jeong Yang, Anoop Abraham

“…The primary purpose of the services is to offer efficiency and scalability in modern software development and IT operations while reducing overall costs and operational complexity. …”
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A novel mRNA-based multi-epitope vaccine for rabies virus computationally designed via reverse vaccinology and immunoinformatics by Wafa Tombari, Oussema Khamessi, Houcemeddine Othman, Ouafa Kallala, Rihab Mahjoub, Kais Ghedira, Abdelhalim Trabelsi

“…The cytotoxic T lymphocytes (CTLs), helper T lymphocytes (HTLs), and linear B-cell epitopes (LBLs) were mapped and prioritized from four top-ranking vaccine targets (nucleoprotein, phosphoprotein, matrix, and glycoprotein) that were highly antigenic, nonallergenic, nontoxic, and nonhuman homologs. The selected epitopes exhibited strong binding affinity to high-frequency HLA alleles, as evidenced by highly negative ΔG values and low dissociation constants, predicting efficient T-cell recognition and broad population coverage (96.01% globally). …”
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Common Features of Architectural Design of the Medical Purpose Building by I. V. Bulakh

“…Main designing stages, missions and complexities for every successive designing step have been revealed in the paper. …”
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Deep Learning Method with Domain-Task Adaptation and Client-Specific Fine-Tuning YOLO11 Model for Counting Greenhouse Tomatoes by Igor Glukhikh, Dmitry Glukhikh, Anna Gubina, Tatiana Chernysheva

“…The large-scale implementation of computer vision systems in greenhouses requires approaches that reduce costs, time and complexity, particularly in creating training data and preparing neural network models. …”
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Protective mechanism of weathering steel rust layers in atmospheric environments and their stabilization treatment technologies by Junyi GAO, Weichen XU, Binbin ZHANG, Canming LI, Guobao LI, Baorong HOU

“…Most alloying elements enhance the protective properties of rust layers by improving their compactness, stability, and ionic selectivity. Research into evaluating the corrosion resistance of rust layers has now expanded to include artificial intelligence, advanced sensors, and big data technologies, making studies more dynamic and efficient. …”
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IMix: a user-friendly application for source partitioning using stable isotopes by Wenchen Song, Fei Li, Chuyang Luo

“…Results IMix is an accurate and easy-to-use tool that simplifies the calculation of source partitioning using stable isotopes and eliminates the associated complexity and uncertainty. It can also automatically analyse the advantages and disadvantages of isotope mixing models and automatically select the optimal mixing model based on user data. …”
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Simultaneous multi-objective framework of natural gas pipeline network operations by Mohamed Mostafa Hassanein Hussein

“…The method generates a diverse set of Pareto optimal solutions, empowering decision-makers to select the most suitable solution for gas transportation networks. …”
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Evaluation of Sustainable Performance of Industry 4.0 Technologies Using a Novel Fuzzy OPLO-POCOD Method by Reza Sheikh, Soheila Senfi

“…In the rapidly evolving landscape of decision-making, particularly amid the complexities of managing extensive data, it is crucial to develop methodologies that facilitate informed choices. …”
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Optimizing PAPR performance for 6G OTFS waveform using adaptive genetic PTS method for Rician fading channels by Arun Kumar, Aziz Nanthaamornphong, Nishant Gaur

“…Compared to traditional methods, such as standard partial transmit sequence (PTS), selective mapping, and companding, AGA-PTS offers faster convergence and lower computational complexity owing to its dynamic phase adaptation mechanism. …”
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Environmental risk assessment based on multiscale spatial recurrent neural network algorithm for IoT agriculture area by M. Sofiya, M. Arulmozhi

“…Abstract In recent years, smart agricultural environments have gained attention for enhancing farming efficiency and productivity. These systems use smart sensors integrated with Internet of Things (IoT) devices to collect data such as temperature, soil moisture, and humidity, helping to improve yield and optimize water usage. …”
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Care in the era of digital health: experiences from Norwegian general practitioners by Damoun Nassehi, Ellen Ramvi

“…GPs maintain their caregiving roles by navigating the complexities of digital tools, highlighting the need for a careful balance between leveraging digital advancements and preserving the core values of care. …”
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ENVIRONMENTAL PROBLEMS OF TREATMENT OF SALINE LANDS FOR AGRICULTURAL NEEDS IN THE FIRST AGRO-CLIMATIC ZONE OF THE STAVROPOL TERRITORY by A. V. Loshakov, P. V. Klyushin, V. A. Shirokova, A. O. Khutorova, S. V. Savinova

“…In addition, solonetzic complexes are widespread here.Conclusion. We have established that in order to increase the efficiency of the use of these lands, their qualitative zoning with the subsequent development of agromeliorative measures is necessary. …”
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New Insights into the Function of the Immunoproteasome in Immune and Nonimmune Cells by Hiroaki Kimura, Patrizio Caturegli, Masafumi Takahashi, Koichi Suzuki

“…The immunoproteasome is a highly efficient proteolytic machinery derived from the constitutive proteasome and is abundantly expressed in immune cells. …”
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Early Warning for the Construction Safety Risk of Bridge Projects Using a RS-SSA-LSSVM Model by Gang Li, Ruijiang Ran, Jun Fang, Hao Peng, Shengmin Wang

“…This overcame the problem of multiple early warning factors and reduced the complexity of the subsequent prediction model. Then, the LSSVM with the strongest nonlinear modelling ability was selected to build the bridge construction early-warning model and adopted the SSA to optimize the LSSVM parameter combination, improving the early warning accuracy. …”
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