LCRAnnotationsDB: a database of low complexity regions functional and structural annotations by Joanna Ziemska-Legiecka, Patryk Jarnot, Sylwia Szymańska, Dagmara Błaszczyk, Alicja Staśczak, Hanna Langer-Macioł, Kinga Lucińska, Karolina Widzisz, Aleksandra Janas, Hanna Słowik, Wiktoria Śliwińska, Aleksandra Gruca, Marcin Grynberg

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Regulation of proliferative potential: insights into key signaling cascades and te-lomerase functions by O. Tolok, Kh. Malysheva

“…Telomerase, a ribonucleoprotein traditionally recognized for its function in telomere maintenance, is revisited in this review for its non-canonical roles. …”
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Brain functional connectivity under teleoperation latency: a fNIRS study by Yang Ye, Tianyu Zhou, Qi Zhu, William Vann, Jing Du

“…Maintaining visual latency while providing real-time haptic feedback reduced the average functional connectivity in all cortical networks and showed a significantly different connectivity ratio within prefrontal and motor cortical networks. …”
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Profiling the LAM Family of Contact Site Tethers Provides Insights into Their Regulation and Function by Emma J. Fenech, Meital Kupervaser, Angela Boshnakovska, Shani Ravid, Inês Gomes Castro, Yeynit Asraf, Sylvie Callegari, Christof Lenz, Henning Urlaub, Peter Rehling, Maya Schuldiner

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Influence-Balanced XGBoost: Improving XGBoost for Imbalanced Data Using Influence Functions by Akiyoshi Sutou, Jinfang Wang

“…Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent studies on loss functions for imbalanced data have primarily focused on deep learning. …”
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An Extension of the Quadratic Error Function for Learning Imprecise Data in Multivariate Nonlinear Regression by Castro Gbêmêmali Hounmenou, Kossi Essona Gneyou, Romain Glélé Kakaï

“…The simulation study and application case on real datasets conducted and based on multilayer perceptron neural networks (MLP) with bivariate continuous response and asymmetric revealed a significant gain in precision using the new quadratic error function for these types of data rather than using a classical generalized least squares error function having any covariance matrix.…”
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A Multiagent Transfer Function Neuroapproach to Solve Fuzzy Riccati Differential Equations by Mohammad Shazri Shahrir, N. Kumaresan, Kuru Ratnavelu, M. Z. M. Kamali

“…A numerical solution of fuzzy quadratic Riccati differential equation is estimated using a proposed new approach for neural networks (NN). This proposed new approach provides different degrees of polynomial subspaces for each of the transfer function. …”
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Mitochondria-Plasma Membrane Contact Sites: Emerging Regulators of Mitochondrial Form and Function by Jason C Casler, Matilde V Neto, Thomas Burgoyne, Laura L Lackner

“…Sites of close apposition between organelles, known as membrane contact sites (MCSs), are critical regulators of organelle function. Mitochondria form elaborate reticular networks that perform essential metabolic and signaling functions. …”
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Immune checkpoint inhibition perturbs neuro-immune homeostasis and impairs cognitive function by Onwodi V. Ifejeokwu, An H. Do, Sanad M. El Khatib, Nhu N. Ho, Angel Zavala, Shivashankar Othy, Munjal M. Acharya

“…Methods In this study, we used a murine model of melanoma, cognitive function tests, and neuroimmunological assays to investigate the cellular mechanisms and impact of combinatorial blockade of CTLA-4 and PD-1 on brain function. …”
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Circular RNAs in non-alcoholic fatty liver disease: Functions and clinical significance by Qingmin Zeng, Chang-Hai Liu, Javier Ampuero, Dongbo Wu, Wei Jiang, Lingyun Zhou, Hong Li, Lang Bai, Manuel Romero-Gómez, Hong Tang

“…In addition, we emphatically discuss the exosomal non-coding RNA sorting mechanisms and possible functions in recipient cells. Finally, we extensively discuss the potential application of targeting disease-related circRNAs and competing endogenous RNA networks through gain-of-function and loss-of-function approaches in targeted therapy of NAFLD.…”
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Augmenting flexibility: mutual inhibition between inhibitory neurons expands functional diversity by Belle Liu, Alexander James White, Chung-Chuan Lo

“…Strikingly, we show that neural circuits with mutually inhibitory connections are able to rapidly and flexibly switch between distinct functions. That is, multiple functions coexist for a single set of synaptic weights. …”
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Gene transcription, neurotransmitter, and neurocognition signatures of brain structural-functional coupling variability by Lin Jiang, Sarah Genon, Jiayu Ye, Yan Zhu, Guangying Wang, Runyang He, Pedro A. Valdes-Sosa, Feng Wan, Dezhong Yao, Simon B. Eickhoff, Debo Dong, Fali Li, Peng Xu

“…Abstract The relationship between brain structure and function, known as structural-functional coupling (SFC), is highly dynamic. …”
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An in vitro neurobacterial interface reveals direct modulation of neuronal function by gut bacteria by Juan Lombardo-Hernandez, Jesús Mansilla-Guardiola, Riccardo Aucello, Cristian Botta, Maria Teresa García-Esteban, Antonio Murciano-Cespedosa, David Muñoz-Rodríguez, Elisa Quarta, Álvaro Mateos González, Carmen Juan-Llamas, Kalliopi Rantsiou, Stefano Geuna, Luca Cocolin, Celia Herrera-Rincon

“…Neurons exhibited changes in neuroplasticity-related proteins such as Synapsin I and pCREB, indicating functional modulation. Transcriptomic profiling revealed significant gene expression changes affecting networks linked to neurological conditions and bioelectrical signaling. …”
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Human Amniotic Fluid Cells Form Functional Gap Junctions with Cortical Cells by Anna Jezierski, Kerry Rennie, Roger Tremblay, Bogdan Zurakowski, Andreé Gruslin, Marianna Sikorska, Mahmud Bani-Yaghoub

“…In particular, the reestablishment of functional brain networks requires formation of gap junctions, as a key step to provide sufficient intercellular communication. …”
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Circular dichroism of quantum defects in carbon nanotubes created by photocatalytic oxygen functionalization by Finn L. Sebastian, Leon Kaminski, Christoph Bendel, Yohei Yomogida, Yuuya Hosokawa, Han Li, Sebastian Lindenthal, Benjamin S. Flavel, Kazuhiro Yanagi, Jana Zaumseil

“…The employed approach, based on anthraquinone derivatives as photocatalysts, is applicable to SWCNTs with different diameters, in aqueous or organic dispersions, with different surfactants, and even enables lateral patterning of defects in SWCNT networks. Low catalyst concentrations and the absence of cytotoxic metals or reactants make this functionalization method highly biocompatible. …”
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Multi-Function Working Mode Recognition Based on Multi-Feature Joint Learning by Lei Liu, Minghua Wu, Dongyang Cheng, Wei Wang

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Age-related meningeal extracellular matrix remodeling compromises CNS lymphatic function by Kate Hitpass Romero, Taylor J. Stevenson, Leon C. D. Smyth, Ben Watkin, Samuel J.C. McCullough, Luca Vinnell, Amy M. Smith, Patrick Schweder, Jason A. Correia, Jonathan Kipnis, Mike Dragunow, Justin Rustenhoven

“…These processes are facilitated by lymphatic networks present in the meninges that drain cerebrospinal fluid (CSF). …”
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rTMS-induced neuroimaging changes measured with structural and functional MRI in autism by Xiaodong Kang, Kai Chen, Fei Wang, Linyi Mu, Zengzhen Lei, Rufei Zhang, Zedong Wang, Tao Zhang, Tao Zhang

“…Correlation analyses indicated that these neuroimaging changes were significantly associated with improvements in behavioral scores.DiscussionThese findings suggest that rTMS may exert therapeutic effects in children with ASD by modulating cerebellar development and cognitive control networks. The observed structural and functional brain changes support the potential utility of rTMS as a neuromodulatory intervention for ASD. …”
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Anonymous Authentication Scheme Based on Physically Unclonable Function and Biometrics for Smart Cities by Vincent Omollo Nyangaresi, Ahmad A. AlRababah, Ganesh Keshaorao Yenurkar, Ravikumar Chinthaginjala, Muhammad Yasir

“…In addition, the informal security analysis shows that it supports salient functional and security features such as mutual authentication, key agreement, perfect key secrecy, anonymity, and untraceability. …”
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Trend Analysis of Relative Sea Level Changes in the Aegean Sea with Copula Functions by Ahmet Yavuzdoğan, Emine Tanır Kayıkçı

“…From a geodetic point of view, long term sea level observations are important in terms of determining the datum of vertical control networks. Copula functions, which are frequently used in many fields such as statistics, economics, actuarial analysis, meteorology and hydrology, have a correlation structure that reflects linear and nonlinear relationships and can show local dependencies. …”
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