bluuebunny/crossref_metadata_2025_split huggingface dataset:
Extractive Constitutions: Constitutional Change and Development Paths in Latin America
Authors: Merino Roger 
Published: February 2022

AbstractUnder the label “New Latin American Constitutionalism”, scholars have explained the emergence of new constitutions or organic constitutional reforms in the eighties and nineties and, since the 2000s, the constitutions associated with the “Left turn” in the region. Radical constitutional changes, however, have not stopped the expansion of social conflicts associated with internationally-backed extractive and infrastructure projects deemed as crucial for national development. As new processes of constitution building are gaining momentum in the region, it is crucial to investigate the reasons why societies under progressive and neoliberal constitutions suffer from similar conflicts. Drawing on decolonial theory and critically dialoguing with the literature on constitutions and development, the article proposes an analytical scheme to understand the relationship between constitutional arrangements and development in neoliberal and multicultural Peru and Colombia, and post-neoliberal and plurinational Bolivia and Ecuador. The article argues that even though these constitutions possess deep differences at the level of development discourses, strategies, and tools, they share the same development paradigm.
On Ramseyer’s Response to the Critics of “Contracting for Sex in the Pacific War”
Authors: Lee Yong-Shik 
Published: February 2022

Abstract
A controversial paper by Ramseyer, “Contracting for Sex in the Pacific War,” which argued that the victims of sexual slavery (“the comfort women”) perpetrated by the Japanese military during World War II were voluntary prostitutes under contract, has raised substantial controversy around the world. This argument has provoked a public outcry, and thousands of scholars, including Nobel laureates, have criticized this paper and denounced it. Ramseyer has subsequently published a response to these critics in a non peer-reviewed, publicly accessible paper series disseminated by the John M. Olin Center for Law, Economics, and Business at Harvard University. His response does not remedy fundamental flaws and inaccuracies in his original paper. This essay discusses these flaws and inaccuracies and also points out the problematic manner in which the author mischaracterizes and omits key materials, misleading readers. The war may have ended several decades ago, but its trauma continues today, exacerbated by the troubling denials of the atrocities.
Far-field optical imaging of topological edge states in zigzag plasmonic chains
Authors: Moritake Yuto , Ono Masaaki , Notomi Masaya 
Published: February 2022

Abstract
Topological photonics mimicking topological insulators has recently attracted considerable attention. The Su–Schrieffer–Heeger (SSH) model, which is a fundamental topological system, has been experimentally demonstrated in many photonic systems owing to its simplicity. In particular, a zigzag chain, which is described by the SSH model, shows intriguing functionality such as polarization-dependent switching of topological edge states. To date, the far-field imaging of topological edge states in plasmonic chains has not been reported because of the constraint imposed by the diffraction limit. In this study, we experimentally observed the photonic topological edge states of zigzag plasmonic chains composed of metal nanodiscs in the optical region through far-field imaging. Using a chain longer than the diffraction limit, light scattering from the two edges of the zigzag chains was resolved. In the case of such a long chain, it was revealed that tiny gaps of several nanometers between the discs, which are difficult to fabricate, are necessary. Therefore, we propose connected chains and investigate the effect of the shape of the connected part, which reveals that similar topological edge states can be obtained even in the connected chains. The polarization dependence of edge-state imaging showed switching of the systems in trivial and topological phases in the same zigzag chain. Far-field observations serve as an easy and effective tool for the investigation and application of photonic topological edge states.
Complex circuit simulation and nonlinear characteristics analysis of GaN power switching device
Authors: Gu Ji , Wang Wei , Yin Rong , Truong Chinh V , Ganthia Bibhu Prasad 
Published: February 2022

Abstract
To overcome the problem of energy losses in the electrical circuits and to improve the energy conversion efficiency, it is necessary to increase the power switch frequency and reduce the open resistance of the power switch. Moreover, based on energy saving, failure protection, circuit design and other aspects of the research of enhanced devices are also essential, a new static and dynamic model of GaN power transistor is proposed, and the steady-state and dynamic characteristics of GaN power transistors are simulated and tested. The GaN power transistor used in the test has a constant voltage of 450 V and a current of 4 A. By changing the driving power U, G (take 2, 3, 4V) and the stray inductance Ls
(take 2 μH, 5 μH), the switching characteristics of the simulation model were studied, and the simulation was carried out by changing the absorption capacitance Cc
(select 1.5 μF and 3.0 μF). This proposed simulation model can be used to analyze the protection effect of the buffer circuit under various stray inductors and help to guide the design of the buffer circuit. The simulation results of the static and dynamic models of the new GaN power transistor agree well with the experimental results. With the increase of Ug
, the opening speed is faster, but the turn-off delay is longer. With the increase of Ls
, the peak of the turn-off voltage increases. After increasing the absorption capacitance, the peak voltage during the turnoff is limited to the rated voltage, and the buffer circuit plays a protective role and the greater the Cc
, the better the protection. The simulation results are consistent with the theoretical analysis, which verifies the effectiveness of the model.
Seismic nonlinear vibration control algorithm for high-rise buildings
Authors: Liu Qian , Zhang Weikang , Bhatt Mohammed Wasim , Kumar Ajit 
Published: February 2022

Abstract
It is necessary to study the seismic problem of buildings and structures for various safety reasons. Such as prevent and to reduce the damage caused by earthquakes to the greatest extent possible, research feasible analysis methods, and simulate the performance of the structure under earthquake action by computer, to keep its design performance in future earthquake action, and to ensure the safety of people's lives and property. The seismic design based on nonlinear vibration control is proposed. SAP2000 structure analysis software is used to establish the seismic structure model, foundation isolation model, and floor isolation model of a 15-story large chassis frame structure, the nonlinear time-history analysis of the three models under the action of multiple and rare earthquakes is carried out, and the period, displacement and acceleration of the isolated structure and the aseismatic structure are compared. The results show that, under the action of multiple earthquakes, the base shear of foundation isolation is 1208.06 kN, and the floor isolation is 926.43 kN, which are 0.37 and 0.3 of the base shears of the aseismatic structure, respectively. Under the action of rare earthquakes, the base-isolation shear is 4039.59 kN, and the story isolation shear is 3119.99 kN, which are, respectively, 0.4 and 0.31 of the base-isolation shears of the aseismatic structure. This method provides a reliable evaluation for nonlinear seismic response analysis of large complex high-rise buildings and provides an effective reference.
Parameter simulation of multidimensional urban landscape design based on nonlinear theory
Authors: Liu Congru , Lin Mingsen , Rauf Hozan Latif , Shareef Sardar S. 
Published: February 2022

Abstract
To solve the problem of large difference degree in multi-dimensional urban landscape design, a multidimensional urban landscape design method based on nonlinear theory is proposed. Research on multidimensional nonlinear landscape design methods in improving the rationality of architectural landscape design and improving the living environment is important for optimizing the structure of multidimensional nonlinear landscape design and improving the effect of urban landscape design. Firstly, according to the input and output data of the system, the multidimensional nonlinear landscape image is sampled, the virtual scene space visual planning method is used to simulate the parameters of the multidimensional nonlinear landscape design, and the block detection method is used to reconstruct the region of the multidimensional nonlinear landscape image. Combined with RGB feature decomposition method, the parameter vectorized feature extraction of multidimensional nonlinear landscape design was carried out, and the parameterized model of multidimensional nonlinear landscape view was extracted. Based on the parameterized model method, the multidimensional nonlinear landscape design is realized, and the quantitative analysis ability of multidimensional nonlinear landscape design is improved. The simulation results show that the mean of regression standard deviation is 0.567, the standard value is 0.753, and the F-test value is 0.655. Therefore, the visual feature expression ability of multidimensional nonlinear landscape design using the proposed method is better and the effect of landscape design is improved.
Research on frequency parameter detection of frequency shifted track circuit based on nonlinear algorithm
Authors: Xie Hui , Wang Yatao , Gao Zhiliang , Ganthia Bibhu Prasad , Truong Chinh V 
Published: February 2022

Abstract
The basic task of railway signal work is to ensure safe and smooth transportation, improve transportation capacity, and improve transportation conditions and quality. Since it carries important information and control technology; it must be characterized by high security and high reliability. To address the aforementioned issues, this study uses a nonlinear technique to provide high-precision real-time detection of frequency shift signal parameters, based on an investigation of the sources of spectrum leakage in the FFT transformation. It not only reduces the sampling time but also the computation time when compared to the nonlinear method. This paper presents a frequency shift track circuit parameter based on nonlinear algorithm, studies the application of frequency shift signal parameter detection based on nonlinear algorithm, and simulates it with MATLAB. The experimental results show that the errors of center frequency, low frequency, and frequency offset are distributed in the range of ±0.05 Hz, ±0.005 Hz and ±0.15 Hz, respectively, which meet the parameters of frequency shift signal. The algorithm can meet the requirement of technical indexes and shorten the sampling time, which provides a theoretical basis for the design of the real-time frequency shift signal parameter tester.
Comparative routes to 7-carboxymethyl-pterin: A useful medicinal chemistry building block
Authors: Bennett Zachary , Grumbles Kassidy , Pruet Jeffrey 
Published: February 2022

Abstract
Pterins, such as folate and biopterin, and their derivatives hold significant importance given their biological relevance, as well as the numerous pterin-based inhibitors developed for targeting various biological targets. For this reason, pterins can be viewed as a privileged scaffold, as the discovery of new pterin analogs gives rise to a vast array of potential drug candidates. 7-carboxymethyl-pterin (7-CMP) represents a useful scaffold for the rapid generation of structurally diverse pterin amides and has been a key building block in medicinal chemistry. In an effort to facilitate rapid generation of this pterin scaffold, we have explored multiple routes towards 7-CMP to assess the most efficient method of generation. Methods were evaluated based on yield, regioselectivity, reaction time, and hazardous reaction conditions. This work can aide in the synthesis and discovery of new pterin-based drug candidates.
Potentials of bio-butanol conversion to valuable products
Authors: Pinaeva Larisa , Noskov Alexandr 
Published: February 2022

Abstract
In the last decade, there was observed a growing demand for both n-butanol as a potential fuel or fuel additive, and propylene as the only raw material for production of alcohol and other more bulky propylene chemical derivatives with faster growing outputs (polymers, propylene oxide, and acrylic acid). The predictable oilfield depletion and the European Green Deal adoption stimulated interest in alternative processes for n-butanol production, especially those involving bio-based materials. Their commercialization will promote additional market penetration of n-butanol for its application as a basic chemical. We analyze briefly the current status of two most advanced bio-based processes, i.e. ethanol–to-n-butanol and acetone–butanol–ethanol (ABE) fermentation. In the second part of the review, studies of n-butanol and ABE conversion to valuable products are considered with an emphasis on the most perspective catalytic systems and variants of the future processes realization.
Expected, unexpected, good and bad aggregate uncertainty
Authors: Uribe Jorge M. , Chuliá Helena 
Published: February 2022

Abstract
We study aggregate uncertainty and its linear and nonlinear impact on real and financial markets. By distinguishing between four general notions of aggregate uncertainty (good-expected, bad-expected, good-unexpected, bad-unexpected) within a simple, common framework, we show that it is bad-unexpected uncertainty shocks that generate a negative reaction of economic variables (such as investment and consumption) and asset prices. Our results help to elucidate the real, complex nature of uncertainty, which can be both a backward- or forward-looking expected or unexpected event, with markedly different consequences for the economy. We also document nonlinearities in the propagation of uncertainty to both real and financial markets, which calls for the close monitoring of the evolution of uncertainty so as to help mitigate the adverse effects of its occurrence.
Environmental issues in the Victorian era: an ecostylistic examination of metaphor and framing in Ruskin’sThe Storm-Cloud of the Nineteenth Century
Authors: Virdis Daniela Francesca 
Published: February 2022

AbstractThis article presents an ecostylistic analysis of the use of metaphor and framing inThe Storm-Cloud of the Nineteenth Century, two lectures by the Victorian polymath John Ruskin. The metaphors and frames identified and examined here are those triggered by the two title words ‘storm’ and ‘cloud’. The overall purpose of this study is to demonstrate that the ‘storm-and-cloud’ metaphors and frames are beneficial discursive strategies urging us humans to preserve the ecological structures all living beings rely on. Since they are key practices in the text, the entire discourse conveyed by the lectures can also be defined as beneficial. Furthermore, a comparison of the metaphors and frames catalogued in the three databases, Master Metaphor List, Metalude and MetaNet Metaphor Wiki, reveals that these are deployed in an innovative and distinctive way in the lectures. Finally, while ecolinguistic metaphor and framing investigation mostly discusses destructive and ambivalent metaphors and frames about nature, this article, which instead considers beneficial discursive strategies, strives to make an analytical contribution to an undeveloped ecolinguistic and ecostylistic research area.
Narratives of industrial damage and natural recovery: an ecolinguistic perspective
Authors: Ponton Douglas Mark 
Published: February 2022

AbstractIn this paper, websites promoting a nature reserve on the South Eastern coast of Sicily, Priolo Saltpans, are analysed from an ecolinguistic and narrative perspective. The heuristic device of proximisation is used, connecting it to more traditional concepts of temporal-spatial deixis. More specifically, the paper investigates narratives of contact between the modernist discourse of industrial development and emergent, eco-friendly discourses. In the descriptions and narratives of these sites, the area is represented as caught between a semi-mythical past and industrial/post-industrial futures, between the complexities of human social organisation and the apparent simplicity of the natural world. From a multimodal angle, and a perspective that gives a rich account of context, the paper deals with contemporary themes familiar to the Anthropocenic discourse such as loss of bio-diversity, pollution and industrial damage, as well as possible pathways to ecological recovery and environmental protection.
Communicating climate change: how (not) to touch a cord with people and promote action
Authors: Penz Hermine 
Published: February 2022

Abstract
Climate science has established human activity as the major cause of climate change. The successive reports of the Intergovernmental Panel on Climate Change (IPCC) have also provided future scenarios of the detrimental effect of rising temperatures. Despite the overwhelming scientific consensus, the voices of climate deniers are still given ample space in the media. Moreover, the urgency of the problem and the importance of taking action are difficult to communicate to the public. This paper analyses the communication strategies employed by climate scientists, climate deniers and climate activists to identify similarities and differences, in particular with regard to expressing (un)certainty. The data are media reports from major British and US newspapers, IPCC reports and the speeches of climate activists, in particular Greta Thunberg. The data are analysed by means of qualitative (eco)critical discourse analysis. The aim is to draw conclusions about how climate change could be communicated more effectively to the general public to promote action.
Differential subject marking through SE
Authors: Hill Virginia , Irimia Monica Alexandrina 
Published: February 2022

Abstract
An outstanding question in current studies concerns the status of Romance SE that does not obviously mark reflexivity or anticausativity. This paper signals the presence of such constructions in Old and Modern Romanian, where SE occurs with unergative verbs and qualifies as pleonastic according to traditional grammars (i.e., it makes no difference for the truth conditions or for the argument structure). The main argument is that such constructions are actually instances of differential subject marking (DSM) in Romanian, and that the semantic triggers and the underlying configuration resemble those that occur with differential object marking (DOM) in this language. In terms of theoretical contribution, this analysis (i) widens the cross-linguistic inventory of DSM patterns, by adding Clitic Doubling; (ii) confirms the predictions of recent studies that there could be similarity rather than opposition between DOM and DSM contexts; (iii) shows the possibility of re-allocating the reflexive pronoun SE to other configurations besides (an instance of) verb reflexivization.
Synthesis and characterization of Zn doped AlSb thin films for photovoltaic and energy applications
Authors: Sattar Farhan , Shahid Wajeehah , Anwar Abdul Waheed , Iqbal Muhammad Aamir , Malik Maria , Anwar Nadia , Idrees Faryal , Zaheer Ud Din Syed , Kanwal Qudsia 
Published: February 2022

Abstract
Thin films of zinc doped aluminum antimonide (Zn:AlSb) have been dumped on glass substrate using chemical bath deposition method. The morphological, structural, as well as optical properties of deposited thin films are investigated using XRD, optical microscopy, and UV-V is spectroscopy along with four-point probe technique. The XRD results exhibit that Zn is doped in AlSb and maximum grain size has been obtained at 4% Zn-concentration. Optical micrographs of pure and zinc doped aluminum antimonide (AlSb) at different concentrations of Zn have been shown to confirm the doping by observing changes in morphology and it has been observed that optimized films of AlSb are obtained at 4% of Zn-content. The optical bandgap of Zn doped AlSb films at varying concentrations of 0%, 1%, 2%, 3% and 4% has been found to decrease with enhancement in Zn-concentration and values are measured as 1.8, 1.7, 1.6, 1.4, and 1.3 eV respectively. The sheet resistivity also depends on Zn-content and has been observed to decrease as AlSb is doped with Zn, indicating an increase in electrical conductivity. The explored results indicate a significant potential of these deposited thin films to be used in photonics, photocatalysis, and energy industry.
Simulation of Medical Data Cloud Information Storage Encryption Based on Fuzzy Particle Swarm Optimization
Authors: Zhang Jiaying , Jia Ning 
Published: February 2022

Abstract
In order to reduce the information storage load of network library and improve the security of medical data cloud information storage, information encryption design is needed. Therefore, a cloud information storage encryption simulation based on fuzzy particle swarm optimization algorithm is proposed. Firstly, a complex database access model based on fuzzy particle swarm optimization algorithm is constructed, the encrypted statistical features of cloud storage information are extracted, and the random scrambling matching method is used for coding correction. Fuzzy particle swarm clustering realizes the fusion of cloud information output results and realizes the optimization of cloud information storage encryption.
A Hybrid Particle Size Algorithm for Classification of Hygienic Fruit and Vegetable Images Based on Convolution Neural Network from Health Perspective
Authors: Mao Yingying , Yuan Hao 
Published: February 2022

AbstractIn order to improve the clarity of selection of hygienic fruit and vegetable images, a hybrid granularity classification algorithm for fruit and vegetable images based on convolutional neural network is proposed. The edges of fruit and vegetable images are detected, and the fruit and vegetable images are preprocessed under the convolutional neural network. The fruit and vegetable images are sampled in the form of equal intervals, the mixed noise in the fruit and vegetable images is judged, and the window pixels are marked. Finally, the wavelet threshold algorithm is used to filter the noise of the fruit and vegetable image, and the wavelet of the effective low-frequency signal is reconstructed combined with the convolution neural network the mixed noise filtered fruit and vegetable image is obtained by using the threshold high frequency signal coefficient and the threshold high frequency signal coefficient. Experimental results show that the algorithm has high definition, good denoising effect, and high measurement accuracy.