On the enhancement of the efficiency of concentrated solar power plants using nanofluids based on a linear silicone fluid and Pt nanoparticles by Juan Jesús Gallardo, Desireé De los Santos, Iván Carrillo-Berdugo, Rodrigo Alcántara, Javier Navas

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On broadband, linear-phase, flat group delay, all-pole, low-pass filters for high-speed, data communication by Mihai Sanduleanu, Dan Cracan

“…Measurement results show an in-band OIP3 of 8.8 dBm and a nearly linear phase response at a power consumption of 35 mW to 50 mW from a 1V supply. …”
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Highly Synchronized Expression of Lineage-Specific Genes during In Vitro Hepatic Differentiation of Human Pluripotent Stem Cell Lines by Nidal Ghosheh, Björn Olsson, Josefina Edsbagge, Barbara Küppers-Munther, Mariska Van Giezen, Annika Asplund, Tommy B. Andersson, Petter Björquist, Helena Carén, Stina Simonsson, Peter Sartipy, Jane Synnergren

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Protocol-based set-membership state estimation for linear repetitive processes with uniform quantization: a zonotope-based approach by Minghao Gao, Pengfei Yang, Hailong Tan, Qi Li

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Bouées, portulans et cartes en TO : L’idéal cartographique dans les Maximus Poems de Charles Olson. by Vincent Bucher

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Application of Optimal Homotopy Asymptotic Method to Some Well-Known Linear and Nonlinear Two-Point Boundary Value Problems by Muhammad Asim Khan, Shafiq Ullah, Norhashidah Hj. Mohd Ali

“…The objective of this paper is to obtain an approximate solution for some well-known linear and nonlinear two-point boundary value problems. …”
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Les conditions d’exercice du travail des cadres de premier niveau : une étude de cas by François Bolduc, Geneviève Baril-Gingras

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New Results on Reachable Set Estimation and Controller Design for Linear Systems with Mixed Delays via Triple Integral Functionals by Wei Kang, Shouming Zhong

“…This paper is concerned with the problem of reachable set estimation and controller design for a class of linear systems with mixed delays and bounded disturbance inputs. …”
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Optimizing the dose-averaged linear energy transfer for the dominant intraprostatic lesions in high-risk localized prostate cancer patients by Bo Zhao, Nobuyuki Kanematsu, Shuri Aoki, Shinichiro Mori, Hideyuki Mizuno, Takamitsu Masuda, Hideyuki Takei, Hitoshi Ishikawa

“…This study investigated the feasibility of focal dose-averaged linear energy transfer (LETd) boost for prostate carbon-ion radiotherapy to deposit higher LETd to DILs while ensuring desired relative biological effectiveness weighted dose coverage to targets and sparing organs at risk (OARs). …”
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Development of an electrically conductive polymer composite based on linear low-density polyethylene modified with high-structural carbon black by E. A. Rogachev, A. A. Kalenchuk

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Stature estimation and sex determination from contemporary Northeastern Thai clavicles using discriminant function and linear regression analyses by Chanasorn Poodendaen, Poonikha Namwongsakool, Sitthichai Iamsaard, Nareelak Tangsrisakda, Rarinthron Samrid, Chadaporn Chaimontri, Worrawit Boonthai, Suthat Duangchit

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HHV8-Negative Primary Effusion Lymphoma of B-Cell Lineage: Two Cases and a Comprehensive Review of the Literature by Neeraj Saini, Ephraim P. Hochberg, Erica A. Linden, Smita Jha, Heinz K. Grohs, Aliyah R. Sohani

“…We describe two HIV-negative patients who presented with primary effusion lymphoma of B-cell lineage involving the pleural cavity, but whose tumor cells lacked infection by HHV8. …”
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Computing the l,k-Clique Metric Dimension of Graphs via (Edge) Corona Products and Integer Linear Programming Model by Zeinab Shahmiri, Mostafa Tavakoli

“…In addition, an integer linear programming model is presented for the l,k-clique metric basis for a given graph G and its l-cliques.…”
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Performance and Analysis of FCN, U-Net, and SegNet in Remote Sensing Image Segmentation Based on the LoveDA Dataset by Yang Shuhao

“…This study utilizes the LoveDA dataset to investigate the segmentation performance of three classic deep learning models: Fully Convolutional Networks(FCN), U-Net, and SegNet, in both urban and rural scenarios. …”
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Molecular phylogenetics of the Ophiocordyceps sinensis-species complex lineage (Ascomycota, Hypocreales), with the discovery of new species and predictions of species distribution by Yongdong Dai, Siqi Chen, Yuanbing Wang, Yao Wang, Zhuliang Yang, Hong Yu

“…Additionally, based on the phylogenetic construction of Ophiocordyceps, a special clade was focused phylogenetically on the more closely related O. sinensis complex, which was defined as the O. sinensis- species complex lineage. A total of 10 species were currently confirmed in this lineage. …”
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A Numerical Study of Linear Two-Points Boundary Value Problems with ODEs of Fourth-Order Using RKM Method by Mohammed S. Mechee, F. A. Fawzi, Shaymaa Mahmoud Abdullah

“… This study established the numerical RKM approach for solving linear two-point boundary value problems involving fourth-order ordinary differential equations. …”
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Efficient Recovery of Linear Predicted Coefficients Based on Adaptive Steepest Descent Algorithm in Signal Compression for End-to-End Communications by Abel Kamagara, Abbas Kagudde, Baris Atakan

“…The efficiency of recovery and signal decoding efficacy at the receiver in end-to-end communications using linearly predicted coefficients are susceptible to errors, especially for highly compressed signals. …”
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A Generalized Alternative Theorem of Partial and Generalized Cone Subconvexlike Set-Valued Maps and Its Applications in Linear Spaces by Zhi-Ang Zhou, Jian-Wen Peng

“…We first introduce a new notion of the partial and generalized cone subconvexlike set-valued map and give an equivalent characterization of the partial and generalized cone subconvexlike set-valued map in linear spaces. Secondly, a generalized alternative theorem of the partial and generalized cone subconvexlike set-valued map was presented. …”
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Unsupervised detection of novel SARS-CoV-2 mutations and lineages in wastewater samples using long-read sequencing by Ignacio Garcia, Rasmus K. Riis, Line V. Moen, Andreas Rohringer, Elisabeth H. Madslien, Karoline Bragstad

“…HERCULES identifies and quantifies mutations and lineages without requiring database-guided deconvolution, enhancing the detection of novel variants. …”
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Covariate-adjusted construction of gene regulatory networks using a combination of generalized linear model and penalized maximum likelihood. by Omid Chatrabgoun, Alireza Daneshkhah, Parisa Torkaman, Mark Johnston, Nader Sohrabi Safa, Ali Kashif Bashir

“…To reach out this goal, we apply a generalized linear model (GLM) in first step and later a penalized maximum likelihood to construct the gene regulatory network using Glasso technique for the residuals of a multi-level multivariate GLM among the gene expressions of one species as a multi-levels response variable and the gene expression of related species as a multivariate covariates. …”
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