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This book introduces novel purification technology for the complex oligonucleotide libraries. Since the concept of synthesizing oligonucleotides (oligos) has been proposed, research fields such as nucleic acid-based therapies (CRISPR-Cas9, DNA/RNA vaccines, RNAi), synthetic biology, protein engineering, and DNA-based data storage have bloomed. The COVID-19 pandemic underscores the potential of nucleic acid-based technologies, such as vaccines or diagnostics. As they emerge as the most promising weapons against the current pandemic, increasing need for highly accessible nucleic acid purification technologies is expected. To meet this demand, an oligo purification technology that can be applied to complex oligo libraries and can purify oligos with single-base resolution is developed. In addition, the purification technology can be applied to highly complex oligo libraries of different lengths, enabling the simultaneous purification of complex oligo libraries with different lengths. The proposed technology can be easily accessed by users and would help accelerate numerous research fields that utilize oligos as fundamental building blocks.

Meso- to Neoarchean is a critical transitional period for the formation and evolution of continental crust and the corresponding geodynamic mechanisms, during which the average composition of continental crust gradually shifted from Na-enriched to K-enriched. However, the ultimate source of K and its enrichment mechanism in continental crust are still enigmatic. Moreover, fierce controversies remain on the Precambrian subdivision and late Archean geodynamic models of the North China Craton (NCC). Archean basement terranes in the Eastern Hebei-Western Liaoning Provinces, northern NCC display characteristic lithological zonation similar to those developed in modern convergent plate margins, and from northwest to southeast can be subdivided into the MORB-type tholeiite belt, oceanic arc tectonic belt, and K-rich granitoid belt. This book reports systematic field geological, petrographic, structural, whole-rock geochemical, and zircon U-Pb-Hf-O isotopic data for the various late Neoarchean lithological assemblages of the K-rich granitoid belt. Their deformational characteristics and petrogenesis are discussed in detail, and integrated with their spatiotemporal relationships and metamorphic features, a late Neoarchean active continental margin setting with multi-stage trench retreats and subsequent arc-continent collision is proposed to account for the formation and evolution of the K-rich granitoid belt. It also throws light upon the ultimate source and enrichment mechanism of K in the late Archean continental crust by comparing K-rich granitoid belt with the adjacent oceanic arc tectonic belt.

This book provides a series of methods for flexibly and actively manipulating thermal emission and photoluminance by advanced nanostructures-metamaterials. Nanostructures in subwavelength scales can be designed to precisely modulate light-matter interactions and thereby tailoring both thermal radiations and photon emissions. This book explores approaches for designing different kinds of nanostructures, including multilayers, gratings, nanoridges, and waveguides, to improve the flexibility and functionality of micro/nanodevices. With the help of these subwavelength nanostructures, thermal radiation and photoluminescence have been fully manipulated in near and far fields regarding to the intensity, spectrum, polarization, and direction. The proposed methods together with designed metamaterials open new avenues for designing novel micro-/nanodevices or systems for promising applications like thermal energy harvesting, detecting, sensing, and on-chip quantum-optical networks.

Line intensity mapping (LIM) is an observational technique that probes the large-scale structure of the Universe by collecting light from a wide field of the sky. This book demonstrates a novel analysis method for LIM using machine learning (ML) technologies. The author develops a conditional generative adversarial network that separates designated emission signals from sources at different epochs. It thus provides, for the first time, an efficient way to extract signals from LIM data with foreground noise. The method is complementary to conventional statistical methods such as cross-correlation analysis. When applied to three-dimensional LIM data with wavelength information, high reproducibility is achieved under realistic conditions. The book further investigates how the trained machine extracts the signals, and discusses the limitation of the ML methods. Lastly an application of the LIM data to a study of cosmic reionization is presented. This book benefits students and researchers who are interested in using machine learning to multi-dimensional data not only in astronomy but also in general applications.

This book addresses the comprehensive understanding of Ni-rich layered oxide of lithium-ion batteries cathodes materials, especially focusing on the effect of dopant on the intrinsic and extrinsic effect to its host materials. This book can be divided into three parts, that is, 1. overall understanding of layered oxide system, 2. intrinsic effect of dopant on layered oxides, and 3. extrinsic effect of dopant on layered oxides. To truly understand and discover the fundamental solution (e.g. doping) to improve the Ni-rich layered oxides cathodic performance, understanding the foundation of layered oxide degradation mechanism is the key, thus, the first chapter focuses on discovering the true degradation mechanisms of layered oxides systems. Then, the second and third chapter deals with the effect of dopant on alleviating the fundamental degradation mechanism of Ni-rich layered oxides, which we believe is the first insight ever been provided. The content described in this book will provide research insight to develop high-performance Ni-rich layered oxide cathode materials and serve as a guide for those who study energy storage systems.

This book reports the establishment of a single-atomic layer metal of In and a novel (In, Mg) ultrathin film on Si(111) surfaces. A double-layer phase of In called "e;rect"e; has been extensively investigated as a two-dimensional metal. Another crystalline phase called "e;hex"e; was also suggested, but it had not been established due to difficulty in preparing the sample. The author succeeded in growing the large and high-quality sample of the hex phase and revealed that it is a single-layer metal. The author also established a new triple-atomic layer (In, Mg) film with a nearly freestanding character by Mg deposition onto the In double layer. This work proposes a novel method to decouple ultrathin metal films from Si dangling bonds.The present study demonstrates interesting properties of indium itself, which is a p-block metal both with metallicity and covalency. In this book, readers also see principles of various surface analysis techniques and learn how to use them and analyze the results in the real systems. This book is useful to researchers and students interested in surface science, particularly ultrathin metal films on semiconductor surfaces.

This book presents novel contributions in the development of solid-state-transformer (SST) technology both for medium-voltage (MV) and low-voltage (LV) utility grid interfaces, which can potentially augment the grid modernization process in the evolving power system paradigm. For the MV interface, a single-stage AC-DC SST submodule topology has been proposed, and its modulation and soft-switching possibilities are analysed, experimentally validated and adequately benchmarked. A control scheme with power balance capability among submodules is developed for MV grid-connected single-stage AC-DC SST for smooth operation under inevitable parameter drift scenario, and experimental validation shows excellent performance under drastic load change conditions. A novel machine learning-aided multi-objective design optimization framework for grid-connected SST is developed and experimentally validated, which equips a power electronics design engineer with meagre computational resources to find out the most optimal SST design in a convenient time-frame. This book has also contributed towards the development of dual-active-bridge (DAB)-type and non-DAB-type LV grid-interfaced isolated AC-DC converters by providing solutions to specific topology and modulation-related shortcomings in these two types of topologies. A comprehensive comparison of the DAB and non-DAB-type LVAC-LVDC converters reveals the superiority of DAB-type conversion strategy.

This book introduces readers to the preparation of two-dimensional metal sulfide/oxide for CO2 photoreduction. Based on two-dimensional metal sulfide/oxide materials, this book establishes the structure-to-property relationships of photocatalyst for CO2 photoreduction, and reveals the intrinsic mechanism of the CO2 photoreduction by virtue of the in situ characterization techniques and the density functional theory calculations. It is anticipated that this book will help to identify empirical guidelines for designing and fabricating high-performance catalysts of solar-driven CO2 reduction.

This book describes the development of two kinds of continuous-flow transformation using heterogeneous catalysts, and explains how they can be applied in the multistep synthesis of active pharmaceutical ingredients. It demonstrates and proves that fine chemicals can be synthesized under continuous-flow conditions using heterogeneous catalysis alone. Importantly, the book also proposes a general concept and strategy for achieving multistep flow synthesis and developing heterogeneous catalysts, and shows that commercially available anion exchange resin can be used as a water-tolerant strong base catalyst for various types of continuous-flow aldol-type reaction. Reviewing the state of the art in heterogeneous catalysis in flow chemistry - a "e;hot topic"e; and rapidly developing area of organic synthesis - the book will provide readers with a deeper understanding of fine chemical flow synthesis and its future prospects. 

This book focuses on proposing a tsunami early warning system using data assimilation of offshore data. First, Green's Function-based Tsunami Data Assimilation (GFTDA) is proposed to reduce the computation time for assimilation. It can forecast the waveform at Points of Interest (PoIs) by superposing Green's functions between observational stations and PoIs. GFTDA achieves an equivalently high accuracy of tsunami forecasting to the previous approaches, while saving sufficient time to achieve an early warning. Second, a modified tsunami data assimilation method is explored for regions with a sparse observation network. The method uses interpolated waveforms at virtual stations to construct the complete wavefront for tsunami propagation. Its application to the 2009 Dusky Sound, New Zealand earthquake, and the 2015 Illapel earthquake revealed that adopting virtual stations greatly improved the tsunami forecasting accuracy for regions without a dense observation network. Finally, a real-time tsunami detection algorithm using Ensemble Empirical Mode Decomposition (EEMD) is presented. The tsunami signals of the offshore bottom pressure gauge can be automatically separated from the tidal components, seismic waves, and background noise. The algorithm could detect tsunami arrival with a short detection delay and accurately characterize the tsunami amplitude. Furthermore, the tsunami data assimilation approach is combined with the real-time tsunami detection algorithm, which is applied to the tsunami of the 2016 Fukushima earthquake. The proposed tsunami data assimilation approach can be put into practice with the help of the real-time tsunami detection algorithm.

This thesis presents the first successful realization of a compact, low-noise, and few-cycle light source in the mid-infrared wavelength region. By developing the technology of pumping femtosecond chromium-doped II-VI laser oscillators directly with the emission of broad-stripe single-emitter laser diodes, coherent light was generated with exceptionally low amplitude noise ¿ crucial for numerous applications including spectroscopy at high sensitivities. Other key parameters of the oscillator's output, such as pulse duration and output power, matched and even surpassed previous state-of-the-art systems. As a demonstration of its unique capabilities, the oscillator's powerful output was used to drive ¿ without further amplification ¿ the nonlinear generation of coherent mid-infrared light spanning multiple octaves. The resulting table-top system uniquely combines high brilliance and ultrabroad spectral bandwidth in the important mid-infrared spectral range.The rapid development of this technology is comprehensively and lucidly documented in this PhD thesis. Together with a thorough review of literature and applications, and an extensive analysis of the theoretical foundations behind ultrafast laser oscillators, the thesis will serve as a valuable reference for the construction of a new generation of mid-infrared light sources.

This book focuses on the creation and demonstration of a carbon¿carbon (C¿C) single bond beyond 1.8 Å and on elucidation of its unique nature. C¿C single bond is one of the most fundamental concepts in organic chemistry. The elucidation of its nature is important for further understanding chemical phenomena. The nature in the extreme state of C¿C single bond is still unexplored because of the instability of compounds. In terms of its bond length, the limit had been predicted around 1.8 Å based on the experimental and theoretical studies. This book describes a first example of a C¿C single bond beyond 1.8 Å by employing the original intramolecular core-shell strategy to make a weak and elongated bond stable enough. The presence of such an elongated bond was demonstrated by experimental and theoretical studies. The bond length changes could affect physical properties such as optical absorption and redox potential. Furthermore, its unique "flexibility" was discovered. This book benefits the chemists with deeper understanding of the covalent bonding.

This book offers construction of a renormalizable effective theory of electroweak-interacting spin-1 dark matter (DM). The effective theory realizes minimal but essential features of DM predicted in extra-dimension models, and enables to systematically treat non-perturbative corrections such as the Sommerfeld effects. Deriving an annihilation cross section including the Sommerfeld effects based on the effective theory, the author discusses the future sensitivity of observations to gamma-ray from the Galactic Center. As a result, the author explains the monochromatic gamma-ray signatures originate from two photons (¿¿) or photon and Z boson (¿Z) produced in the process of DM annihilations, and concludes a possible scenario that unstable neutral spin-1 particles (Z¿) appear and results in a spectral peak in addition to the one caused by ¿¿ and ¿Z channels in gamma-ray observations. If those two spectral peaks are observed, the masses of spin-1 DM and Z¿ would be reconstructed.

This thesis presents a search for long-lived particles decaying into displaced electrons and/or muons with large impact parameters. This signature provides unique sensitivity to the production of theoretical lepton-partners, sleptons. These particles are a feature of supersymmetric theories, which seek to address unanswered questions in nature. The signature searched for in this thesis is difficult to identify, and in fact, this is the first time it has been probed at the Large Hadron Collider (LHC). It covers a long-standing gap in coverage of possible new physics signatures. This thesis describes the special reconstruction and identification algorithms used to select leptons with large impact parameters and the details of the background estimation. The results are consistent with background, so limits on slepton masses and lifetimes in this model are calculated at 95% CL, drastically improving on the previous best limits from the Large Electron Positron Collider (LEP).