bluuebunny/crossref_metadata_2025_split huggingface dataset:
Warm, not cold temperatures contributed to a Late Miocene reef decline in the Coral Sea
Authors: Petrick Benjamin , Reuning Lars , Auer Gerald , Zhang Yige , Pfeiffer Miriam , Schwark Lorenz 
Published: March 2023

AbstractEvidence shows that in the modern ocean, coral reefs are disappearing, and these losses are tied to climate change. However, research also shows that coral reefs can adapt rapidly to changing conditions leading some researchers to suggest that some reef systems will survive future climate change through adaptation. It is known that there were changes in the area covered by coral reefs in the past. Therefore, it is important to investigate the long-term response of coral reefs to environmental changes and high sea-surface temperatures (SSTs). However, because of diagenetic issues with SST proxies in neritic, metastable carbonate-rich environments, there is an incomplete and sometimes even incorrect understanding of how changes in SSTs affect carbonate reef systems. A good example is the Queensland Plateau offshore northeast Australia next to the threatened Great Barrier Reef. In the Late Miocene, between 11 and 7 Ma, a partial drowning caused the reef area on the Queensland Plateau to decline by ~ 50% leading to a Late Miocene change in platform geometry from a reef rimmed platform to a carbonate ramp. This reef decline was interpreted to be the result of SSTs at the lower limit of the modern reef growth window (20–18 °C). This article presents a new Late Miocene—ased SST record from the Coral Sea based on the TEX86H molecular paleothermometer, challenging this long held view. Our new record indicates warm tropical SSTs (27–32 °C) at the upper end of the modern reef growth window. We suggest that the observed temperatures potentially exceeded the optimal calcification temperatures of corals. In combination with a low aragonite supersaturation in the ocean, this could have reduced coral growth rates and ultimately lowered the aggradation potential of the reef system. These sub-optimal growth rates could have made the coral reefs more susceptible to other stressors, such as relative sea-level rise and/or changes in currents leading to reef drowning. Given that these changes affected coral reefs that were likely adapted to high temperature/low aragonite saturation conditions suggests that reefs that have adapted to non-ideal conditions may still be susceptible to future climate changes due to the interaction of multiple stressors associated with climate change.
Associations between ambient air pollutants and childhood hand, foot, and mouth disease in Sichuan, China: a spatiotemporal study
Authors: Qian Jian , Luo Caiying , Lv Qiang , Liu Yaqiong , Zhang Tao , Yin Fei , Ma Yue , Shui Tiejun 
Published: March 2023

AbstractHand, foot, and mouth disease (HFMD) is a major public health concern in the Asia–Pacific region. Previous studies have implied that ambient air pollution may affect the incidence of HFMD, but the results among different regions are inconsistent. We aimed to deepen the understanding of the associations between air pollutants and HFMD by conducting a multicity study. Daily data on childhood HFMD counts and meteorological and ambient air pollution (PM2.5, PM10, NO2, CO, O3, and SO2) concentrations in 21 cities in Sichuan Province from 2015 to 2017 were collected. A spatiotemporal Bayesian hierarchical model framework was established, and then a distributed lag nonlinear models (DLNMs) was constructed to reveal exposure-lag-response relationships between air pollutants and HFMD while controlling for spatiotemporal effects. Furthermore, given the differences in the levels and seasonal trends of air pollutants between the basin region and plateau region, we explored whether these associations varied between different areas (basin and plateau). The associations between air pollutants and HFMD were nonlinear, with different lag responses. Low NO2 concentrations and both low and high PM2.5 and PM10 concentrations were associated with a decreased risk of HFMD. No significant associations between CO, O3, and SO2 and HFMD were found. The associations between air pollutant concentrations and HFMD were different between the basin and plateau regions. Our study revealed associations between PM2.5, PM10, and NO2 concentrations and HFMD, deepening the understanding of the relationships between air pollutants and HFMD. These findings provide evidence to support the formulation of relevant prevention measures and the establishment of an early warning system.
Symmetry-protected difference between spin Hall and anomalous Hall effects of a periodically driven multiorbital metal
Authors: Arakawa Naoya , Yonemitsu Kenji 
Published: March 2023

AbstractNonequilibrium quantum states can be controlled via the driving field in periodically driven systems. Such control, which is called Floquet engineering, has opened various phenomena, such as the light-induced anomalous Hall effect. There are expected to be some essential differences between the anomalous Hall and spin Hall effects of periodically driven systems because of the difference in time-reversal symmetry. However, these differences remain unclear due to the lack of Floquet engineering of the spin Hall effect. Here we show that when the helicity of circularly polarized light is changed in a periodically driven t2g-orbital metal, the spin current generated by the spin Hall effect remains unchanged, whereas the charge current generated by the anomalous Hall effect is reversed. This difference is protected by the symmetry of a time reversal operation. Our results offer a way to distinguish the spin current and charge current via light and could be experimentally observed in pump-probe measurements of periodically driven Sr2RuO4.
Nature experience from yards provide an important space for mental health during Covid-19
Authors: Lin Brenda B. , Chang Chia-chen , Astell-Burt Thomas , Feng Xiaoqi , Gardner John , Andersson Erik 
Published: March 2023

AbstractUrban dwellers’ use of public and private green spaces may have changed during the early years of the Covid-19 pandemic due to movement restriction. A survey was deployed in Brisbane and Sydney, Australia 1 year after the start of Covid-19 restrictions (April 2021) to explore relationships of mental health and wellbeing to different patterns of private yard versus public green space visitation. More frequent yard use during the initial year of Covid-19 was correlated with lower stress, depression, and anxiety and higher wellbeing. However, greater duration of yard visits (week prior to survey) was associated with higher stress, anxiety, and depression scores, potentially because individuals may seek to use nature spaces immediately available for emotional regulation during difficult times. The results highlight the importance of yards for mental health and wellbeing during the Covid-19 pandemic and that relationships between nature interaction and mental health may be context and timeframe dependent.
Neural dynamic surface control for stochastic nonlinear systems with unknown control directions and unmodelled dynamics
Authors: Shu Yanjun 
Published: March 2023

AbstractThe control problem for a class of stochastic nonlinear systems with both unknown control directions and unmodelled dynamics is investigated here for the first time. The technique of dynamics signal is adopted to cope with the unmodelled dynamics in the considered system. The unknown control directions problem are addressed by Nussbaum function. RBF neural networks are employed to approximate the lumped unknown functions, and regardless of the number of neural networks used and the order of the system, only one adaptive parameter requires to be adjusted. Dynamic surface control(DSC) is utilized to cope with the complexity explosion of the backstepping design. Hence, a novel neural control scheme is proposed by means of dynamics signal method, DSC technique and Nussbaum function. Stability analysis proves all closed‐loop signals are SGUUB by choosing the parameters appropriately, and the simulation results demonstrate the correctness and effectiveness of the proposed scheme.
Analysis of the influence of the grounding method on the measurement of direct current total electric field on a civil housing platform
Authors: Jilai Xu , Keli Gao , Baoquan Wan , Yao Lu , Liang Zhang 
Published: March 2023

AbstractBuildings near direct current transmission lines are sensitive to the electromagnetic environment, and the measurement of the electric field above them is important in engineering design and environmental assessment in China. The models of buildings and probes in the ion flow field were established to explore the accurate measurement method of the electric field above the building. Based on the upstream finite element method and the predictor–corrector method, the influence of whether the probe was grounded or not above the building was studied. On this basis, simulation experiments and real‐type experiments were carried out. The results show that when the electrical conductivity of the building was greater than 10−10 S/m, being grounded or not would not change the results. When the building conductivity was between 10−11 and 10−12 S/m, the electric field measurement results would be increased by 30% to 120% after grounding. In the real‐type experiments on the platform with a plywood roof, the relative error in the electric field when grounded or not was only 2.6%. This proved the reliability of the calculated results. In this paper, the measuring method of the DC space charge‐modified electric field above buildings was analyzed first, and the conclusion that ground wire can be cancelled above buildings with general materials was presented. The research results can provide a technical basis for the accurate measurement of the electric field above the buildings near DC transmission lines.
A fuzzy rule‐based system with decision tree for breast cancer detection
Authors: Gupta Vedika , Gaur Harshit , Vashishtha Srishti , Das Uttirna , Singh Vivek Kumar , Hemanth D. Jude 
Published: March 2023

AbstractBreast cancer is possibly the deadliest illness in the world and the risks are gradually increasing. One out of eight women has the chance to be detected with breast cancer in their lifetime. The utmost cause for the higher fatality rates is the prolonged prognosis for the detection of breast cancer. The focus of this study is therefore to develop a better fuzzy expert system for the detection of breast cancer using decision tree analysis for deriving the rule base. For this classification problem, the input features of the dataset are converted into human‐understandable terms‐linguistic variables. The Mamdani Fuzzy Rule‐Based system is deployed as the main inference engine and the centroid method for the defuzzification process to convert the final fuzzy score into class labels‐ benign (not cancerous) or malignant (cancerous). A decision tree algorithm is applied the creating a novel set of 27 fuzzy rules which are fed into FRBS. The investigation is performed on the publicly available Wisconsin Breast Cancer Dataset. The accuracy obtained by the proposed system is about 97%, recall is 99.58% and precision is about 93%. The experiments on this dataset yield higher performance as compared to the state‐of‐the‐art dataset.
Image encryption algorithm based on 2D‐CLICM chaotic system
Authors: Jiang Xiaoman , Jiang Guangyu , Wang Qingke , Shu DongDong 
Published: March 2023

AbstractImage encryption algorithm based on a two‐dimensional Chebyshev‐Logistic‐Infinite Collapse Map (2D‐CLICM) is proposed. A new two‐dimensional chaotic map is designed, and numerical studies show that 2D‐CLICM has a larger chaotic region, better randomness and more complex chaotic behavior. An image encryption algorithm (CLICM‐IE) is developed based on the 2D‐CLICM. The randomly generated key is used to generate more random chaotic sequences and the security is greatly improved. To obtain lower computation and time complexity, the whole process performs row encryption for each image pixel. The Arnold transformation preprocesses the image and then the encryption of image pixels is accomplished by controlling the random confusion and diffusion parts with the sequence generated by 2D‐CLICM. The results show that the CLICM‐IE algorithm is deeply random and unpredictable, and resists a variety of attacks. These results can provide good basis and practical application for the chaos generation and image encryption.
Rotational abstractions for verification of quantum Fourier transform circuits
Authors: Govindankutty Arun , Srinivasan Sudarshan K. , Mathure Nimish 
Published: March 2023

AbstractWith the race to build large‐scale quantum computers and efforts to exploit quantum algorithms for efficient problem solving in science and engineering disciplines, the requirement to have efficient and scalable verification methods are of vital importance. A novel formal verification method that is targeted at Quantum Fourier Transform (QFT) circuits is proposed. Quantum Fourier Transform is a fundamental quantum algorithm that forms the basis of many quantum computing applications. The verification method employs abstractions of quantum gates used in QFT that leads to a reduction of the verification problem from Hilbert space to the quantifier free logic of bit‐vectors. Very efficient decision procedures are available to reason about bit‐vectors. Therefore, this method is able to scale up to the verification of QFT circuits with 10,000 qubits and 50 million quantum gates, providing a meteoric advance in the size of QFT circuits thus far verified using formal verification methods.
Design of smart battery charging circuit via photovoltaic for hybrid electric vehicle
Authors: Pathak Pawan Kumar , Yadav Anil Kumar , Padmanaban Sanjeevikumar , Twala Bhekisipho , Kamwa Innocent 
Published: March 2023

AbstractThis paper proposes an intelligent battery charging scheme for hybrid electric vehicles (HEVs) with a fuel cell as the primary energy source and solar photovoltaic (PV) and battery as the auxiliary energy sources. While dealing with the PV, a minimized oscillation‐based improved perturb and observe (I‐P&O) maximum power point (MPP) tracking (MPPT) scheme is designed to mitigate the impact of oscillations around MPP and loss of tracking direction. The DC–DC boost and DC–DC buck power converters are connected in a cascade manner to harvest optimal power from PV and as a charging circuit for HEV, respectively. An intelligent fuzzy logic‐based proportional integral derivative (PID) (F‐PID) controller is employed for the buck converter to get the constant voltage and constant current for the effective charging of the battery. The two primary objectives of this work are (1) maximum utilization of the designed PV array via the I‐P&O MPPT scheme to enhance the system efficacy, reduce system cost, and reduce complexity. (2) To obtain minimum battery losses and an enhanced life cycle of HEV. The proposed MPPT scheme provides a maximum 99.80% tracking efficiency of the considered PV array at an insolation level of 1000 W/m2. Moreover, almost nominal voltage and current ripples have appeared in HEV's proposed intelligent battery charging circuit.
Direction of arrival estimation of unknown emitter by deep neural networks with array imperfections
Authors: Chen Min , Mao Xingpeng , Liu Libao 
Published: March 2023

AbstractIn array signal processing, high‐resolution direction‐of‐arrival (DOA) estimation by eigendecomposition method requires knowledge of the array covariance matrix and an exact characterisation of the array. The dependence of most such methods on the array manifold substantially degrades their array performance when the actual sensors deviate from their assumed nominal values. This article aims at formulating a deep neural network framework for DOA estimation with feasible computational complexity. The two‐stage algorithm is composed of a detection network and a series of parallel DOA estimation networks: the multilayer perceptron is trained to detect the presence of one or more sources in an angular sector at the first stage, the DOA estimation networks then estimate their respective DOAs at the second stage. When a single type of array imperfection is considered, numerical results reveal that the DNN‐based method can obtain DOA estimates with much higher precision than the existing techniques for significant location errors and gain/phase perturbations, they also illustrate the potential usefulness of the proposed algorithm towards better DOA estimation accuracy for mutual coupling as the mutual coupling matrix is not simplified. Moreover, the proposed method is finally extended to deal with the DOA estimation problem when multiple types of array perturbations coexist.
Imagerie des inclusions dentaires en CBCT
Authors: Felizardo Rufino 
Published: March 2023

À la convergence de l’odontologie pédiatrique, de l’orthodontie et de la chirurgie orale la prise en charge des dents incluses est multidisciplinaire et nécessitera fréquemment le recours à un examen CBCT afin d’évaluer les options thérapeutiques (désinclusion chirurgico-orthodontique, avulsion, réimplantation, abstention), les atteintes des dents adjacentes, les voies d’abord chirurgicales et risques anatomiques associés dès lors que les limites des examens 2D sont atteintes.
Par une large iconographie clinique nous aborderons les différentes étiologies des inclusions ainsi qu’une méthodologie simple d’analyse des volumes CBCT permettant au clinicien d’exploiter pleinement tous les éléments pouvant être mis en évidence sur ce type d’examen.
Link between Blood Cell-Associated Inflammatory Indices and Chemotherapy-Induced Hyperglycemia in Women Affected with Breast Cancer: Clinical Studies
Authors: Prasad Krishna , Rao Suresh , Hegde Sanath Kumar , George Thomas , D'souza Rhea Katherine , Suresh Sucharitha , Baliga Manjeshwar Shrinath 
Published: March 2023

Background Development of treatment-induced hyperglycemia/diabetes is a considerable problem in women undergoing chemotherapy for breast cancer. In this study, baseline levels of blood cell-associated inflammatory indices (BCAII) were analyzed to understand their role in the development of treatment-induced hyperglycemia and diabetogenesis.Materials and Methods This was a retrospective study, and information on women who were normoglycemic and nondiabetic and of women who were diabetic at the beginning of the treatment were collected from files. Demographic, pathology-related details, and complete blood profile were noted. Neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), platelet-to-lymphocyte ratio (PLR), and systemic inflammatory index (SII) which indicate BCAII were calculated. Demographic details were subjected to frequency and percentage, while blood parameters were subjected to one-way analysis of variance followed by post hoc Bonferroni's multiple comparison tests. A p-value of <0.05 was considered significant.Results The results indicated that a significant difference in levels of total count (p < 0.035), neutrophil, lymphocyte, and platelets (p < 0.001) were observed. Regarding BCAII, when compared with women who were normoglycemic at the end of treatment, NLR, dNLR, PLR, and SII were significantly high for people who were known diabetics at the beginning of treatment (p < 0.001). The dNLR (p = 0.0008), PLR (p < 0.001), and SII (p < 0.001) were significant for people who developed secondary hyperglycemia/diabetes, while only dNLR was significant for people who progressed from normal to prediabetes stage (p = 0.049)Conclusion To the best of the authors' knowledge, this is the first study that indicates difference in baseline BCAII and development of treatment-induced hyperglycemia/diabetes indicating that underlying low levels of inflammation may contribute to diabetogenesis in women affected with breast cancer.
Sticky Raciolinguistics
Authors: Pak Vincent , Hiramoto Mie 
Published: March 2023

AbstractSingapore’s postcolonial multiracialism is held together by state policies that categorize its citizens into four major race groups ordered according to their size: Chinese, Malay, Indian, and Others. This postcolonial framework—with its colonial logics of statal race management and categorization—governs social life in Singapore. Recent race talk has birthed a contentious term—Chinese privilege—that has found its way into common parlance and is now deployed as an explanation for overt and covert racism. “Chinese privilege,” continuous from White privilege, may be understood as the belief that sociopolitical advantages are accorded to those racialized as Chinese. We take cues from Ahmed’s (2004b) notion of “stickiness” to consider how (1) Western ideas of racialized power rooted in Whiteness are reconfigured in postcolonial Singapore and (2) the processes of racialization and racial categorization are uncritically reproduced in invocations of Chinese privilege as censure and confessional. We interpret the notion of sticky raciolinguistics as the inextricability of race-language conaturalization from antecedent centers of White-settler colonial thought.
“Say a Sentence”: Drawing an Interactional Link between Organizations, Language Ideologies, and Coloniality
Authors: Henry Jacob 
Published: March 2023

AbstractPrevious critical work on language ideologies surrounding English in postcolonial spaces has shown how perduring colonial logics are repurposed into contemporary discourses of value and class (Reyes 2017; Tupas 2019). This article builds on this work by examining a language-policing incident in an urban Pakistani café in which the owners link modernity, wealth, and professionalism to Western English competency. I further interrogate this interaction using a lens informed by organizational studies and decolonial work on structural whiteness to show how linguistic hegemonies working at the intersections of race, class, and organizational hierarchy in so-called postcolonial spaces can still embody and promote Anglocentric ideologies. Finally, in understanding how language policing works as a scalar act, this article ends with a discussion of how actors in positions of power can appeal to conflicting notions of scale to mask their larger ideologies as part of standard organizational practices, divorced from any larger context.
Metrics of natural light in traditional rural housing in Ambato
Authors: Bustán-Gaona Darío , Jiménez-Sanchez Yomara , del Pozo Mateo , Armijos Sebastián 
Published: March 2023

Abstract
Traditional architecture has characteristics of the place of origin that have been inherited from generation to generation and maintains an identity in each context. Today, this type of vernacular building is the object of study due to its value and the need for an unavoidable energy transition as a result of the depletion of fossil fuels. Thus, with the research, we seek to identify the worth of natural light in the inside space of traditional rural housing. To achieve this objective, the planimetric survey of the homes selected for the study was carried out, the performance of natural light in them was analyzed, and the optimization of natural light in the inside spaces of the houses was simulated. With the gotten results, it is highlighted that there are shortages of natural light in the inside spaces with a range of 3 to 280 lux, this is as a result of several factors, among them the size of the openings, the orientation, and the applied constructive system. Therefore, it is concluded that to improve the levels of luxes in the inside spaces of the house, changes are required at the constructive and materiality level, as well as the spatial and thermal level. In this way, it would be possible to guarantee the maintenance of this type of housing as a historical heritage.