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Characterization of Fe(III)-Reducing Enrichment Cultures and Isolation of Enterobacter sp. Nan-1 from the Deep-Sea Sediment, South China Sea
To characterize the Fe(III)-reducing bacteria, enrichment cultures were initiated by inoculating deep-sea sediment from the South China Sea (SCS)...
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Crick Wobble and Superwobble in Standard Genetic Code Evolution
Wobble coding is inevitable during evolution of the Standard Genetic Code (SGC). It ultimately splits half of NN U/C/A/G coding boxes with different...
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SpRY greatly expands the genome editing scope in rice with highly flexible PAM recognition
BackgroundPlant genome engineering mediated by various CRISPR-based tools requires specific protospacer adjacent motifs (PAMs), such as the...
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A bibliometric analysis of biochar application in wastewater treatment from 2000 to 2021
Biochar, a carbon-rich porous material derived from biomass, receives increasing attention and interests in recent years. Research development of...
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Equilibrium and kinetic study of adsorption of diazinon from aqueous solutions by nano-polypropylene-titanium dioxide: Optimization of adsorption based on response surface methodology (RSM) and central composite design (CCD)
This study evaluated the applicability of the adsorption of a widely used organophosphorous pesticide named diazinon, from aqueous using a new...
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Synthesis and characterization of a brush type graft copolymer via RAFT and "click" chemistry methods
In this study, well-known poly(4-vinylbenzyl- g -ethylene glycol) [P(4-VB- g -EG)] brush type graft copolymer was synthesized by recycling...
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A Non Dominant Sorting Algorithm with Dual Population Dynamic Collaboration
Solving multi-objective optimization problems with constraints is a complex task, involving the delicate balance of interrelated and conflicting...
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Basic Floating-Point Operators
This chapter shows how to build the operators for the basic operations (addition and subtraction, multiplication, division, and square root) in...
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The High-Order Variable-Coefficient Explicit-Implicit-Null Method for Diffusion and Dispersion Equations
For the high-order diffusion and dispersion equations, the general practice of the explicit-implicit-null (EIN) method is to add and subtract an...
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Training Algorithms for Mixtures of Normalizing Flows
In this paper, we focus on how a probabilistic mixture of normalizing flows can be fitted. In the literature, there are (at least) four approaches...
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Novel approaches for hyper-parameter tuning of physics-informed Gaussian processes: application to parametric PDEs
Today, Physics-informed machine learning (PIML) methods are one of the effective tools with high flexibility for solving inverse problems and...
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ELM: a novel ensemble learning method for multi-target regression and multi-label classification problems
In this paper, a new Ensemble Learning Method (ELM) is proposed to deal with multi-target regression and multi-label classification problems. In ELM,...
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Histochemical Detection of Peroxidase and Laccase Activities in Populus Secondary Xylem
Peroxidases (PRXs) and laccases (LACs) are enzymes involved in catalyzing the oxidation of the lignin monomers to facilitate lignin polymerization....
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A New Coati Optimization Algorithm for Binary Optimization
Coati Optimization Algorithm (COA) is a recently proposed heuristic optimization algorithm. The COA establishes phrases of exploitation and...
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New source model for the 1771 Meiwa tsunami along the southern Ryukyu Trench inferred from high-resolution tsunami calculation
The 1771 Meiwa tsunami which struck the southern Ryukyu Islands (Sakishima Islands) had greater than 22 m run-up height, leaving about 12,000...
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Multi-modal Battle Royale optimizer
Multimodal optimization poses a challenging problem in the field of optimization as it entails the discovery of multiple local and global optima,...
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Floating-Point Operations
In this chapter, the RISC-V floating-point extensions will be studied. The floating-point extensions provide useful instructions for working with...
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Covid-19 Data Preprocessing Approach in Machine Learning for Prediction
Artificial Intelligence (AI) is a vast field that allows the development of programs capable of simulating human intelligence. One of the most used...
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Data Science Tools
In this chapter, first we introduce some of the cornerstone tools that data scientists use. The toolboxToolbox of any data scientist, as for any kind...
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Enhanced Aquila optimizer based on tent chaotic map** and new rules
Metaheuristic algorithms, widely applied across various domains due to their simplicity and strong optimization capabilities, play a crucial role in...
