Palmitic Acid Downregulates Thyroglobulin (Tg), Sodium Iodide Symporter (NIS), and Thyroperoxidase (TPO) in Human Primary Thyrocytes: A Potential Mechanism by Which Lipotoxicity Af... by Meng Zhao, Xiaohan Zhang, Ling Gao, Yongfeng Song, Chao Xu, Chunxiao Yu, Shanshan Shao, Jiajun Zhao

“…The contents of BODIPY® FL C16 (the fluorescently labeled palmitic acid analogue) entering into the thyrocytes were gradually increased with time extending. …”
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Financial Inclusion and Refugees’ Self-Reliance: An Assessment for Women’s Economic Empowerment at Nakivale Refugee Settlement, Southwestern Uganda. by Mugisha, Abbas, Kaaya, Siraje

“…Oct 2023Keywords: Financial inclusion, Women refugees, Nakivale refugee settlementmabbas@kab.ac.ugIntroductionForced displacement of people from their motherland is a serious and surging challenge globally Th e UNHCR global trend report 2021 (UNHCR, 2022) reveals that the numbers of people forced to fl ee their homes have been increasing every year for a decade. …”
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Graph Neural Network-Based Approach for Detecting False Data Injection Attacks on Voltage Stability by Shahriar Rahman Fahim, Rachad Atat, Cihat Kececi, Abdulrahman Takiddin, Muhammad Ismail, Katherine R. Davis, Erchin Serpedin

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Utilization of edible poultry slaughter residues: A chicken-liver hydrolysate with glucose-lowering ability and upregulating glycogenesis in type II diabetes by Yi-Ling Lin, Yu-Pei Chen, Sheng-Yao Wang, Yi-Feng Kao, Chompunut Lumsangkul, Yi-Chen Chen

“…Insulin resistance was induced in liver (FL83B) and muscle (C2C12) cells using 30 and 20 ng TNF-α/mL, respectively, resulting in decreased glucose uptake and lower expressions of IRβ, p-Akt/Akt, and p-GSK3/GSK. …”
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Effects of Soil and Water Conservation Structures on Selected Soil Physicochemical Properties: The Case of Ejersa Lafo District, Central Highlands of Ethiopia by Adugna Tolesa, Siraj Mammo, Eve Bohnett

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Valores hematológicos del mono choro común (Lagothrix lagotricha) mantenido en cautiverio en la ciudad de Lima (Perú) by K. Cuestas, N. Carlos

“…Se obtuvieron los siguientes resultados: eritrocitos 8,76 x 106/μl (± 2,91); hematocrito 36,46% (± 3,38); hemoglobina 12,32 g/dl (± 1,89); VCM 60,61 fl (± 7,85); HCM 20,37 pg (± 3.07); CMCH 33,85 g/dl (± 4,61); leucocitos 6,12 x 103/μl (± 1,05); abastonados 0,05 x 103/μl (± 0,11); segmentados 5,54 x 103/μl (± 2,23); linfocitos 2,62 x 103/ul (± 1,60); monocitos 0,07 x 103/μl (± 0,02); eosinófilos 0,42 x 103/μl (± 0,23); basófilos 0,13 x 103/μl (± 0,14) y plaquetas 314,39 x 103/μl (± 78,09). …”
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Structures and strategies for retaining an international pediatric cohort from birth: Lessons from The Environmental Determinants of Diabetes in the Young (TEDDY) study by Patricia Gesualdo, Jessica Melin, Rachel Karban, Claire Crouch, Michael Killian, Diane Hopkins, Annika Adamsson, Joanna Stock, Suzanne Bennett Johnson, Judith Baxter

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Based on the Gaussian Fitting Method to Derive Daily Evapotranspiration from Remotely Sensed Instantaneous Evapotranspiration by Suhua Liu, Hongbo Su, Renhua Zhang, Jing Tian, Shaohui Chen, Weimin Wang, Lijun Yang, Hong Liang

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Evaluating the potential of Nature-based solutions to mitigate land use and climate change impacts on the hydrology of the Gefersa and Legedadi watersheds in Ethiopia by Yared Bayissa, Raghavan Srinivasan, Johannes Hunink, Douglas Nyolei, Semu Moges, David de Andrade Costa, Dereje Tadesse, Assefa Melesse, Seifu Tilahun

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Factors Associated with Midterm Visual Field Variability in Patients with Stable Glaucoma by Maria Emília V. Guimarães, Carolina P. B. Gracitelli, Syril Dorairaj, Fábio N. Kanadani, Tiago S. Prata

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SGCL-LncLoc: An Interpretable Deep Learning Model for Improving lncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning by Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng

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Acute effects of physical exercise on cognitive function and neurotrophins in patients with type 1 diabetes: A systematic review by Emanuele Zanardo, Giulia Quinto, Francesca Battista, Federica Duregon, Marco Vecchiato, Chiara Bergia, Kirk Erickson, Andrea Ermolao, Daniel Neunhaeuserer

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Propranolol for Treatment of Infantile Hemangioma: Efficacy and Effect on Pediatric Growth and Development by Rachel A. Giese, Merit Turner, Mario Cleves, J. Reed Gardner, Gresham T. Richter

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Shifting Paradigms: A Deep Dive Into Public Perceptions of Gender-affirming Surgery by Justin M. Camacho, MBA, Michael Alfertshofer, MD, Heli S. Patel, MBA, Daniel Najafali, BS, Noelle Thompson, BS, Victoria Stoffel, MS, Chris M. Reid, MD, Michael Alperovich, MD, Samuel Knoedler, BS, Leonard Knoedler, MD

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Exploring glycolytic enzymes in disease: potential biomarkers and therapeutic targets in neurodegeneration, cancer and parasitic infections by Maura Rojas-Pirela, Diego Andrade-Alviárez, Verónica Rojas, Miguel Marcos, Daniel Salete-Granado, Marirene Chacón-Arnaude, María Á. Pérez-Nieto, Ulrike Kemmerling, Juan Luis Concepción, Paul A. M. Michels, Wilfredo Quiñones

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The emerging role of blood-based biomarkers in early detection of colorectal cancer: A systematic review by Faris Shweikeh, Yuhao Zeng, Abdur Rahman Jabir, Erica Whittenberger, Saurav P. Kadatane, Yuting Huang, Mohamad Mouchli, Dani Ran Castillo

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Self-Emulsifying Drug Delivery Systems (SEDDS): Transition from Liquid to Solid—A Comprehensive Review of Formulation, Characterization, Applications, and Future Trends by Prateek Uttreja, Indrajeet Karnik, Ahmed Adel Ali Youssef, Nagarjuna Narala, Rasha M. Elkanayati, Srikanth Baisa, Nouf D. Alshammari, Srikanth Banda, Sateesh Kumar Vemula, Michael A. Repka

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Disparities in surgical treatments for stress, urge and mixed urinary incontinence: Evidence from the 2019 National Ambulatory Surgery Sample (NASS) by Christabel Egemba, Edie Duncan, Katherine Amin, Alan Wein, Alberto J. Caban-Martinez, Raveen Syan

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Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks by Mohammed Almehdhar, Abdullatif Albaseer, Muhammad Asif Khan, Mohamed Abdallah, Hamid Menouar, Saif Al-Kuwari, Ala Al-Fuqaha

“…Additionally, we explore emerging technologies, such as Federated Learning (FL) and Transfer Learning, to enhance the robustness and adaptability of IDS solutions. …”
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ADAM19: A Novel Target for Metabolic Syndrome in Humans and Mice by Lakshini Weerasekera, Caroline Rudnicka, Qing-Xiang Sang, Joanne E. Curran, Matthew P. Johnson, Eric K. Moses, Harald H. H. Göring, John Blangero, Jana Hricova, Markus Schlaich, Vance B. Matthews

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