bluuebunny/crossref_metadata_2025_split huggingface dataset:
A motor-imagery channel-selection method based on SVM-CCA-CS
Authors: Wang Qisong , Cao Tianao , Liu Dan , Zhang Meiyan , Lu JingYang , Bai Ou , Sun Jinwei 
Published: October 2020

Abstract
In electroencephalography, multi-channel electroencephalogram (EEG) signals are usually utilized to improve classification accuracy. However, a large set of EEG channels increases the computational complexity, reduces the real-time performance and causes wearability difficulties. Channel selection methods have been widely investigated to reduce the number of channels with an acceptable loss of accuracy for EEG-based motor-imagery recognition. In this paper, we present a novel algorithm, called Support Vector Machine-Canonical Correlation Analysis-Channel Selection (SVM-CCA-CS). First, the energy features of the wavelet packet subnodes of the motor-imagery EEG signals are extracted. Then the weights of feature groups are calculated as initial channel weights, based on the CCA algorithm. The initial channel weights are further adjusted, according to the contribution of each channel to the classification accuracy via SVM, and the top channels with larger weights are eventually selected. The results show that the average accuracy of all subjects can reach 80.03% by using the first 30 channels with the largest weights from among the total of 118 channels. For the right hand and foot motor-imagery tasks, the generally applicable optimal channels are mostly located in the left hemisphere. Our generally applicable channel observation of the whole brain cortex suggests contralateral control correspondence: for unilateral motor imagery, the optimal channels are concentrated in the contralateral hemisphere. This is consistent with the contralateral control of the body by the human brain: the majority of the human motor and sensory fibers tend to control the contralateral limbs and pass through the midline of the body. Our proposed method provides optimal acquisition and analysis of the positions of EEG signals in specific motor-imagery tasks.
Optical and magnetic resonance imaging approaches for investigating the tumour microenvironment: state-of-the-art review and future trends
Authors: Prasad Saumya , Chandra Anil , Cavo Marta , Parasido Erika , Fricke Stanley , Lee Yichien , D’Amone Eliana , Gigli Giuseppe , Albanese Chris , Rodriguez Olga , del Mercato Loretta L 
Published: October 2020

Abstract
The tumour microenvironment (TME) strongly influences tumorigenesis and metastasis. Two of the most characterized properties of the TME are acidosis and hypoxia, both of which are considered hallmarks of tumours as well as critical factors in response to anticancer treatments. Currently, various imaging approaches exist to measure acidosis and hypoxia in the TME, including magnetic resonance imaging (MRI), positron emission tomography and optical imaging. In this review, we will focus on the latest fluorescent-based methods for optical sensing of cell metabolism and MRI as diagnostic imaging tools applied both in vitro and in vivo. The primary emphasis will be on describing the current and future uses of systems that can measure intra- and extra-cellular pH and oxygen changes at high spatial and temporal resolution. In addition, the suitability of these approaches for mapping tumour heterogeneity, and assessing response or failure to therapeutics will also be covered.
Solution processed nanostructured hybrid materials based on PbS quantum dots and reduced graphene oxide with tunable optoelectronic properties
Authors: Lara-Canche A R , Garcia-Gutierrez D F , Torres-Gomez N , Reyes-Gonzalez J E , Bahena-Uribe D , Sepulveda-Guzman S , Hernandez-Calderon I , García Gutierrez D I 
Published: October 2020

Abstract
Nanostructured hybrid materials (NHMs) are promising candidates to improve the performance of several materials in different applications. In the case of optoelectronic technologies, the ability to tune the optical absorption of such NHMs is an appealing feature. Along with the capacity to transform the absorbed light into charge carriers (CC), and their consequently efficient transport to the different electrodes. In this regard, NHM based on graphene-like structures and semiconductor QDs are appealing candidates, assuming the NHMs retain the light absorption and CC photogeneration properties of semiconductor QDs, and the excellent CC transport properties displayed by graphene-like materials. In the current work a solution-processed NHM using PbS quantum dots (QDs) and graphene oxide (GO) was fabricated in a layer-by-layer configuration by dip-coating. Afterwards, these NHMs were reduced by thermal or chemical methods. Reduction process had a direct impact on the final optoelectronic properties displayed by the NHMs. All reduced samples displayed a decrement in their resistivity, particularly the sample chemically reduced, displaying a 107 fold decrease; mainly attributed to N-doping in the reduced graphene oxide (rGO). The optical absorption coefficients also showed a dependence on the rGO’s reduction degree, with reduced samples displaying higher values, and sample thermally reduced at 300 °C showing the highest absorption coefficient, due to the combined absorption of unaltered PbS QDs and the appearance of sp2 regions within rGO. The photogenerated current increased in most reduced samples, displaying the highest photocurrent the sample reduced at 400 °C, presenting a 2500-fold increment compared to the NHM before reduction, attributed to an enhanced CC transfer from PbS QDs to rGO, as a consequence of an improved band alignment between them. These results show clear evidence on how the optoelectronic properties of NHMs based on semiconductor nanoparticles and rGO, can be tuned based on their configuration and the reduction process parameters.
Fabrication of black TiO2−x
/NiFe2O4 supported on diatomaceous earth with enhanced sonocatalytic activity for ibuprofen mitigation
Authors: Wu Qiong 
Published: October 2020

Abstract
This study reports a facile fabrication of black TiO2−x
/NiFe2O4 (Ti3+ self-doped titania coupled with nickel ferrite), an efficient sonocatalyst for ibuprofen (IBP) mitigation. Compared with TiO2−x
or NiFe2O4, TiO2−x
/NiFe2O4 heterojunction displayed higher sonocatalytic activity, and their immobilization onto diatomaceous earth further enhanced mitigation efficiency due to the synergy between adsorption and sonocatalysis. About 96.7% of 10 mg l−1 IBP was removed in 100 min using 0.7 g l−1 catalyst at pH = 6, with the ultrasonic power of 144 W and frequency of 60 KHz. Quenching experiment results demonstrated the roles of reactive species. The intermediates during IBP sono-oxidation were determined by HPLC-MS method, and the acute toxicity was evaluated. Furthermore, the reaction mechanism was proposed. The sonocatalyst revealed excellent reusability, suggesting itself promising for wastewater treatment.
Inclusion of quasi-vertex views in a brain-dedicated multi-pinhole SPECT system for improved imaging performance
Authors: Auer Benjamin , Zeraatkar Navid , Goding Justin C , Könik Arda , Fromme Timothy J , Kalluri Kesava S , Furenlid Lars R , Kuo Phillip H , King Michael A 
Published: October 2020

Abstract
With brain-dedicated multi-detector systems employing pinhole apertures the usage of detectors facing the top of the patient’s head (i.e. quasi-vertex (QV) views) can provide the advantage of additional viewing from close to the brain for improved detector coverage. In this paper, we report the results of simulation and reconstruction studies to investigate the impact of the QV views on the imaging performance of AdaptiSPECT-C, a brain-dedicated stationary SPECT system under development. In this design, both primary and scatter photons from regions located inferior to the brain can contribute to SPECT projections acquired by the QV views, and thus degrade AdaptiSPECT-C imaging performance. In this work, we determined the proportion, origin, and nature (i.e. primary, scatter, and multiple-scatter) of counts emitted from structures within the head and throughout the body contributing to projections from the different AdaptiSPECT-C detector rings, as well as from a true vertex view detector. We simulated phantoms used to assess different aspects of image quality (i.e. uniform activity concentration sphere, and Derenzo), as well as anthropomorphic phantoms with different count levels emulating clinical 123I activity distributions (i.e. DaTscan and perfusion). We determined that attenuation and scatter in the patient’s body greatly diminish the probability of the photons emitted outside the volume of interest reaching to detectors and being recorded within the 15% photopeak energy window. In addition, we demonstrated that the inclusion of the residual of such counts in the system acquisition does not degrade visual interpretation or quantitative analysis. The addition of the QV detectors improves volumetric sensitivity, angular sampling, and spatial resolution leading to significant enhancement in image quality, especially in the striato-thalamic and superior regions of the brain. Besides, the use of QV detectors improves the recovery of clinically relevant metrics such as the striatal binding ratio and mean activity in selected cerebral structures. Our findings proving the usefulness of the QV ring for brain imaging with 123I agents can be generalized to other commonly used SPECT imaging agents labelled with isotopes, such as 99mTc and likely 111In.
Detection of transient neurotransmitter response using personalized neural networks
Authors: Klyuzhin Ivan S , Bevington Connor W J , Cheng Ju-Chieh (Kevin) , Sossi Vesna 
Published: October 2020

Abstract
Measurement of stimulus-induced dopamine release and other types of transient neurotransmitter response (TNR) from dynamic positron emission tomography (PET) images typically suffers from limited detection sensitivity and high false positive (FP) rates. Measurement of TNR of a voxel-level can be particularly problematic due to high image noise. In this work, we perform voxel-level TNR detection using artificial neural networks (ANN) and compare their performance to previously used standard statistical tests. Different ANN architectures were trained and tested using simulated and real human PET imaging data, obtained with the tracer [11C]raclopride (a D2 receptor antagonist). A distinguishing feature of our approach is the use of ‘personalized’ ANNs that are designed to operate on the image from a specific subject and scan. Training of personalized ANNs was performed using simulated images that have been matched with the acquired image in terms of the signal, resolution, and noise.
In our tests of TNR detection performance, the F-test of the linear parametric neurotransmitter PET model fit residuals was used as the reference method. For a moderate TNR magnitude, the areas under the receiver operating characteristic curves in simulated tests were 0.64 for the F-test and 0.77–0.79 for the best ANNs. At a fixed FP rate of 0.01, the true positive rates were 0.6 for the F-test and 0.8–0.9 for the ANNs. The F-test detected on average 28% of a 8.4 mm cluster with a strong TNR, while the best ANN detected 47%. When applied to a real image, no significant abnormalities in the ANN outputs were observed. These results demonstrate that personalized ANNs may offer a greater detection sensitivity of dopamine release and other types of TNR compared to previously used method based on the F-test.
Hydrodynamic quantum analogs
Authors: Bush John W M , Oza Anand U 
Published: October 2020

AbstractThe walking droplet system discovered by Yves Couder and Emmanuel Fort presents an example of a vibrating particle self-propelling through a resonant interaction with its own wave field. It provides a means of visualizing a particle as an excitation of a field, a common notion in quantum field theory. Moreover, it represents the first macroscopic realization of a form of dynamics proposed for quantum particles by Louis de Broglie in the 1920s. The fact that this hydrodynamic pilot-wave system exhibits many features typically associated with the microscopic, quantum realm raises a number of intriguing questions. At a minimum, it extends the range of classical systems to include quantum-like statistics in a number of settings. A more optimistic stance is that it suggests the manner in which quantum mechanics might be completed through a theoretical description of particle trajectories. We here review the experimental studies of the walker system, and the hierarchy of theoretical models developed to rationalize its behavior. Particular attention is given to enumerating the dynamical mechanisms responsible for the emergence of robust, structured statistical behavior. Another focus is demonstrating how the temporal nonlocality of the droplet dynamics, as results from the persistence of its pilot wave field, may give rise to behavior that appears to be spatially nonlocal. Finally, we describe recent explorations of a generalized theoretical framework that provides a mathematical bridge between the hydrodynamic pilot-wave system and various realist models of quantum dynamics.
Hinge solitons in three-dimensional second-order topological insulators
Authors: Tao Yu-Liang , Dai Ning , Yang Yan-Bin , Zeng Qi-Bo , Xu Yong 
Published: October 2020

Abstract
Higher-order topological insulators have recently witnessed rapid progress in various fields ranging from condensed matter physics to electric circuits. A well-known higher-order state is the second-order topological insulator in three dimensions with gapless states localized on the hinges. A natural question in the context of nonlinearity is whether solitons can exist on the hinges in a second-order topological insulator. Here we theoretically demonstrate the existence of stable solitons localized on the hinges of a second-order topological insulator in three dimensions when nonlinearity is involved. By means of systematic numerical study, we find that the soliton has strong localization in real space and propagates along the hinge unidirectionally without changing its shape. We further construct an electric network to simulate the second-order topological insulator. When a nonlinear inductor is appropriately involved, we find that the system can support a bright soliton for the voltage distribution demonstrated by stable time evolution of a voltage pulse.
Fully self-consistent calculation of β-decay half-lives within Skyrme energy density functional *
Authors: Wen Pei-Wei , Zhang Shi-Sheng , Cao Li-Gang , Zhang Feng-Shou 
Published: October 2020

Abstract

-decay half-lives of some magic and semi-magic nuclei have been studied in a fully self-consistent Skyrme Hartree-Fock (HF) plus charge-exchange random phase approximation (RPA). The self-consistency is addressed, in that the same Skyrme energy density functional is adopted in the calculation of ground states and Gamow-Teller excited states. First, the impact of

terms on the

-decay half-lives is investigated by using the SGII interaction, revealing a large influence. Subsequently, numerical calculations are performed for the selected nuclei with Skyrme energy density functionals SGII, LNS, SKX, and SAMi. Finally, comparisons to available experimental data and predictions of different theoretical models are discussed.
Responsible or reckless? A critical review of the environmental and climate assessments of mineral supply chains
Authors: Calderon Jordan Lee , Bazilian Morgan , Sovacool B , Greene S 
Published: October 2020

Abstract
This paper critically reviews and identifies gaps in the methodologies used to analyze the environmental impacts of mineral and metal global supply chains. Of specific focus are assessments of the extraction and production of minerals and metals needed for a low-carbon energy future. Current trends and projections suggest that the future low-carbon energy system will have greater material needs than the current one. Thus, it is important to better understand the full impacts of increased resource extraction to help ensure a sustainable and just transition. This review reveals that existing methodologies are currently insufficient in capturing the full suite of environmental, social, and governance concerns. The copper supply chain is used as a case study to highlight areas that require refined or augmented methodologies, with an in-depth examination of the corporate practices of Freeport-McMoRan, Vale, and BHP. Together, this review of existing methodologies and examples from the copper supply chain highlight the incomplete and variable nature of environmental and climate reporting within the mining industry. Areas for future work are defined with the goal of advancing accounting frameworks for the mining industry and the associated supply chain.
Responsive high-resolution air quality index mapping using model, regulatory monitor, and sensor data in real-time
Authors: Schulte Nico , Li Xiang , Ghosh Jo Kay , Fine Philip M , Epstein Scott A 
Published: October 2020

Abstract
Interpolated regulatory monitor measurements that are used to calculate the Air Quality Index (AQI) have low spatial resolution and are less accurate where regulatory monitors are sparsely distributed, especially during episodic events such as wildfires and dust storms. In this paper, an AQI map that is more responsive and accurate than current formulations with 5 km spatial and hourly temporal resolution is constructed for Southern California using interpolated concentration fields. The fine particle mass (PM2.5) fields are calculated by combining regulatory-grade monitored concentrations, low-cost sensor measurements, and Community Multiscale Air Quality Model forecasts, using Residual Kriging (RK) interpolation to account for the uncertainty of each input component. The Ozone fields are calculated by combining regulatory monitor and model forecasted concentrations using RK. The interpolated concentration fields have root mean square interpolation errors (RMSE) of 5.59 µg m−3 (PM2.5) and 6.66 ppb (Ozone), smaller than corresponding RMSE of current inverse distance weighting methods used by the U.S. Environmental Protection Agency AirNOW system, and a previous interpolation method used by the South Coast Air Quality Management District. The inclusion of low-cost sensor measurements makes the AQI more responsive to wildfire events, with a PM2.5 RMSE of 7.73 µg m–3, a significant improvement from the other interpolation methods. The mass of particles with an aerodynamic diameter smaller than 10 micrometers (PM10) calculated using natural neighbor interpolation of the difference, PM10—PM2.5, and carbon monoxide and nitrogen dioxide fields calculated using natural neighbor interpolation, have small but usually not statistically significant reductions of RMSE relative to the other interpolation methods. Quality control and correction procedures applied to the low-cost sensor measurements are described. Display of the blended AQI data on an interactive map in real time provides an important tool for the public to minimize their exposure to poor air quality in one of the most polluted regions in the United States.
Exhaled breath condensate biomarkers in critically ill, mechanically ventilated patients
Authors: Davis Michael D , Winters Brett R , Madden Michael C , Pleil Joachim D , Sessler Curtis N , Wallace M Ariel Geer , Ward-Caviness Cavin K , Montpetit Alison J 
Published: October 2020

Abstract
Pneumonia is a significant risk for critically ill, mechanically ventilated (CIMV) patients. Diagnosis of pneumonia generally requires a combination of clinician-guided diagnoses and clinical scoring systems. Exhaled breath condensate (EBC) can be safely collected non-invasively from CIMV patients. Hundreds of biomarkers in EBC are associated with acute disease states, including pneumonia. We evaluated cytokines in EBC from CIMV patients and hypothesized that these biomarkers would correlate with disease severity in pneumonia, sepsis, and death. EBC IL-2 levels were associated with chest radiograph severity scores (odds ratio = 1.68; 95% confidence interval = 1.09–2.60; P = 0.02). EBC TNF-α levels were also associated with pneumonia (odds ratio = 3.20; 95% confidence interval = 1.19–8.65; P = 0.02). The techniques and results from this study may be useful for all mechanically ventilated patients.
Institutional restructuring of fisheries management system for humphead wrasse (Cheilinus undulatus RÜPPELL 1835) in Anambas and Natuna, Riau Archipelago Province, Indonesia
Authors: Mujiyanto  , Sugianti Y , Garcia M G , Edrus I N 
Published: October 2020

Abstract
This policy analysis paper revisits the existing traditional institutions concerned with Humphead wrasse management in Anambas and Natuna, Riau Archipelago Province. It provides an analysis and synthesis of policies that could give direction to the formation and/or strengthening of existing institutions for the benefit of this endangered fish species and all concerned parties. Local community’s active involvement and participation is key to the sustainable development of fisheries resources. However, the local community’s economic empowerment would be impossible to achieve without institutional strengthening. The paper recommends that community-based institutional empowerment or the “group approach” should be considered in Anambas and Natuna’s fisheries management system for Humphead wrasse. Organized fishing communities can be effective government partners in the management of open fishing areas in their jurisdictions. Fishing communities also have a vision, mission or resource management strategy specific to their own needs, values and aspirations. Defining and articulating the community’s vision, mission and values are therefore crucial to the success of any community initiatives concerning fisheries revitalization programs. The paper also proposes a logical plan for Community-Based Coastal Resource Management (CBCRM) system for consideration of the local government units in Anambas and Natuna.
Potential of tilapia (Oreochromis niloticus) viscera bioactive peptides as antiviral for SARS-CoV-2 (COVID 19)
Authors: Riyadi P H , Tanod W A , Wahyudi D , Susanto E , Fahmi A S , Aisiah S 
Published: October 2020

Abstract
Pandemic SARS-CoV-2 (COVID-19) is a severe problem in the world today. The SARS-CoV-2 virus contains protease and glycoprotein spike, which was used infection and development. The RBD (Receptor Binding Domain) of the glycoprotein Spike (RBD-S) can bind to the ACE2 receptor (Angiotensin Converting Enzyme-2) on the Domain protease (PD) (PD-ACE2) of the host cell causing virus infection. This study aimed to evaluate the potential of bioactive peptides from tilapia viscera hydrolysate as an antiviral peptide to attempt a simulated docking with four protein target virus COVID 19. The research was conducted by molecular docking using the PyRx software. Selected protein targets were SARS-CoV-2 protease (GDP ID: 6LU7), SPIKE COVID 19 (PDB ID: 6LVN), ACE2 (GDP ID: 6VW1), and deubiquitinase inhibitors block the SARS virus replication (PDB ID: 3E9S). The formed binding affinity was represented as a docking score. The results showed that both the Asp-Trp and Val-Tyr peptides were potential as SARS-CoV-2 antiviral, with an affinity strength equal to chloroquine and favipiravir. The Asp-Trp and Val-Tyr peptides could bind to all four receptor proteins target on the active side. Therefore, it potentially inhibits the virus sticking to proteins target that results in inhibition of virus replication. Generally, the Asp-Trp and Val-Tyr peptides of tilapia viscera hydrolysate are potential as an alternative antiviral peptide to medicate the infections and replication of COVID-19.