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Shaopeng Niu · Jingyan Wei · Mengna Li · Borui Guo · y 4 más
Selenoproteins, characterized by the presence of selenocysteine (Sec) residues, are widely distributed across all domains of life. The unique attributes of selenoproteins are conferred by Sec, which is genetically encoded into nascent polypeptide chains through the recoding of the UGA codon. Human glutathione peroxidas...
basic medicinemedical and health sciencesOriginal Research Article
Roman Murcek · Enrico Fuchs · Matthias Joppa · Vincent Eisenrauch · y 2 más
The hygienic design of food processing machines and facilities is essential for ensuring food safety, as it enables reliable and efficient cleaning. While a standardized laboratory test procedure for assessing cleanability is available for closed equipment, comparable methods for open equipment are still lacking. This...
We develop a class of minimax estimators for a normal mean matrix under the Frobenius loss, which generalizes the James--Stein and Efron--Morris estimators. It shrinks the Schatten norm towards zero and works well for low-rank matrices. We also propose a class of superharmonic priors based on the Schatten norm, which g...
Statistics TheoryFOS: MathematicsStatistics Theory (math.ST)
Following the work of Mestre, we use Weil's explicit formulas to compute explicit lower bounds on the conductors of elliptic curves and abelian varieties over number fields. Moreover, we obtain bounds for the conductor of elliptic curves and abelian varieties over $\mathbb{Q}$ with specified bad reduction and over numb...
11G40, 11F72 (Primary) 11G10, 11G05 (Secondary)Number TheoryFOS: MathematicsNumber Theory (math.NT)
Motivated by a flurry of recent work on efficient tensor decomposition algorithms, we show that the celebrated moment matrix extension algorithm of Brachat, Comon, Mourrain, and Tsigaridas for symmetric tensor canonical polyadic (CP) decomposition can be made efficient under the right conditions. We first show that the...
FOS: Computer and information sciencesNumerical AnalysisFOS: MathematicsSymbolic Computation
This study focuses on solving group zero-norm regularized robust loss minimization problems. We propose a proximal Majorization-Minimization (PMM) algorithm to address a class of equivalent Difference-of-Convex (DC) surrogate optimization problems. First, we present the core principles and iterative framework of the PM...
Optimization and Control (math.OC)Optimization and ControlFOS: Mathematicsmathematics
Assuming the generalized Riemann hypothesis, we sharpen the error terms in a number of estimates related to the distribution of low-lying zeros of Dirichlet $L$-functions. The refinements, building upon earlier work of Omar, come from the use of the positivity technique, which involves choosing certain test functions i...
Number TheoryFOS: Mathematics11M06, 11M26, 11M41Number Theory (math.NT)
Let $R$ be a standard graded polynomial ring over a field $k$. The paper focuses on homogeneous ideals $J \subset R$ of codimension $2$ generated by three forms of the same degree $d \geq 2$ that are almost Cohen--Macaulay, i.e., of homological dimension $2$. Based on the structure of the minimal graded free resolution...
Aleksi Vartiainen · Ville Nikkanen · Pekka Simell · Michal Jeremiáš
Pyrolysis is a promising chemical recycling route for plastic waste that is unsuitable for mechanical recycling. High-temperature pyrolysis can be used to increase the olefin-rich pyrolysis gas yield. The aim is to feed the pyrolysis gas directly to the recovery section of a steam cracker, thereby bypassing the cracker...
Water–gas shiftPlastic waste recyclingMethanationengineering and technology
Haidong Wang · Qia Shan · JianHua Zhang · PengFei Xiao · y 1 más
In the field of affective computing, traditional methods for generating emotions predominantly rely on deep learning techniques and large-scale emotion datasets. However, deep learning techniques are often complex and difficult to interpret, and standardizing large-scale emotional datasets are difficult and costly to e...
Human-Computer InteractionFOS: Computer and information sciencesArtificial Intelligence (cs.AI)Artificial Intelligence
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