bluuebunny/crossref_metadata_2025_split huggingface dataset:
Isolation systems based on energy efficient basalt fiber wares
Authors: Zhukov Aleksey , Ushakov Andrey 
Published: November 2021

Abstract
The article analyzes the properties of wares based on continuous and staple basalt fiber which offers high fire-resistance, thermal insulation capacity, vibrancy resistance, noiseproofing, as well as chemical durability including durability to arctic atmosphere and marine climate effects. That sort of fiber is a core for construction fabric, canvas and special-purpose products.
The research findings of usage of modifying mineral additions as part of basalt working mass are reported. Modifiers’ introduction allows to decrease temperature interval of working mass’ melting by 80-100 ‘C. Herewith optimal melt’s amorphy degree is reached within the temperature range of working mass melting of 1400-1520 ‘C. It causes energy intensity’s reduction while manufacturing fabrics and the ability of using more technological smelting units and ways to rework the melt into a fiber.
Fabrication of special buildings’ engineering structures isolation systems using basalt fiber fabrics, canvas and fire-resistant rolled materials which guarantees standard value of thermal resistance is proposed.
Tunable anisotropic plasmon-induced transparency in black phosphorus-based metamaterials
Authors: Huang Li , Jia Zhongpeng , Tang Bin 
Published: November 2021

Abstract
Black phosphorus (BP), as a new type of two-dimensional material, has drawn considerable interest because of its distinct physics and electronic characteristics. In this work, we theoretically present a BP-based metamaterial, unit cell of which is composed of a rectangular BP nano-patch and two parallel BP strips. The research results indicate that tunable anisotropic plasmon-induced transparency (PIT) effect can be achieved in the presented metamaterials when the polarization of incident light is along armchair and zigzag directions of BP crystal, respectively. Moreover, the spectra responses and group delay accompanied by the PIT effect can be actively controlled by adjusting the carrier density and geometric parameters. The electromagnetic simulation results calculated by finite-difference time-domain method show good agreement with the coupled Lorentz oscillator model. Our proposed nanostructure provides a new path for designing photonic devices such as slow light and photodetector in the mid-infrared region.
Comparative studies of variation in cutting conditions and cutter nomenclature on the surface morphology and the integrity of slot milled nimonic 263 alloy
Authors: Gowthaman S 
Published: November 2021

Abstract
Cutter nomenclature and machining conditions has invoke critical impact on the machining behavior and surface integrity of machined samples. In this investigation, the slot milling operation has been performed under various cutter terminology or nomenclature (cutter with the RRA of −7°, 0° and 7°) and cutting conditions (spindle speed, table feed and MQL flow rate) to analyze its resulting outcome on the surface morphological features such as surface roughness (Sa), skewness (S

sk
) and kurtosis (S

ku
), etc Because the examination of these characteristics are important and significant to analyze the behavioral changes of asperities such as decohesion, wear resistance and adhesion, etc during in its relative motion. Additionally, the plasticity index and surface morphology of machined samples are helps to predict the variation in surface morphology under various machining behavior and through this study, it is found that the interactive effect of MQL flow rate and table feed offer higher and significant impact over the surface characteristics followed by the MQL flow rate during slot milling process.
Mechanism of defects and electrode structure on the performance of AlN-based metal semiconductor metal detectors
Authors: Li Guanghui , Wang Pengbo , He Xinran , Meng Yulong , Liang Feng , Zhou Mei , Zhao Degang 
Published: November 2021

Abstract
We used the metal-organic chemical vapor deposition(MOCVD) method to grow AlN material on a c-plane sapphire substrate and fabricate an AlN-based metal-semiconductor-metal (MSM) detector. Analyzing the influence mechanism of different dislocation densities in AlN materials and detector electrode structure on the detector performance, it was found that the lower the dislocations can effectively reduce the dark current of the detector under zero bias voltage, and help improve the performance of the detector. The study also found that when the finger spacing of the detector remained the same and the finger width increased, the efficiency of the detector decreased, while the response time of the detector increased, when the finger width of the detector electrodes remained unchanged and the finger spacing increased, the response time of the detector increased. Therefore, the electrode finger width and finger spacing must be compromised in the design of the electrode structure to improve the performance of the AlN-based MSM detector.
Nanocellulose based carbon ink and its application in electrochromic displays and supercapacitors
Authors: Brooke Robert , Fall Andreas , Borràs Mateu , Yilma Dagmawi Belaineh , Edberg Jesper , Martinez-Crespiera Sandra , Aulin Christian , Beni Valerio 
Published: November 2021

Abstract
Conventional electronics have been highlighted as a very unsustainable technology; hazardous wastes are produced both during their manufacturing but also, due to their limited recyclability, during their end of life cycle (e.g. disposal in landfill). In recent years additive manufacturing processes (i.e. screen printing) have attracted significant interest as a more sustainable approach to electronic manufacturing (printed electronics). Despite the field of printed electronics addressing some of the issues related to the manufacturing of electronics, many components and inks are still considered hazardous to the environment and are difficult to recycle. Here we present the development of a low environmental impact carbon ink based on a non-hazardous solvent and a cellulosic matrix (nanocellulose) and its implementation in electrochromic displays (ECDs) and supercapacitors. As part of the reported work, a different protocol for mixing carbon and cellulose nanofibrils (rotation mixing and high shear force mixing), nanocellulose of different grades and different carbon: nanocellulose ratios were investigated and optimized. The rheology profiles of the different inks showed good shear thinning properties, demonstrating their suitability for screen-printing technology. The printability of the developed inks was excellent and in line with those of reference commercial carbon inks. Despite the lower electrical conductivity (400 S m−1 for the developed carbon ink compared to 1000 S m−1 for the commercial inks), which may be explained by their difference in composition (carbon content, density and carbon derived nature) compared to the commercial carbon, the developed ink functioned adequately as the counter electrode in all screen-printed ECDs and even allowed for improved supercapacitors compared to those utilizing commercial carbon inks. In this sense, the supercapacitors incorporating the developed carbon ink in the current collector layer had an average capacitance = 97.4 mF cm−2 compared to the commercial carbon ink average capacitance = 61.6 mF cm−2. The ink development reported herein provides a step towards more sustainable printed green electronics.
Interfacial engineering for design of novel 2D cobalt sulfide-Mxene heterostructured catalyst toward alkaline water splitting
Authors: Tran Phan Khanh Linh , Kim Min Sung , Nguyen Thanh Hai , Tran Duy Thanh , Kim Nam Hoon , Lee Joong Hee 
Published: November 2021

Abstract
In this work, we used an interfacial engineering method to investigate a novel hybrid of two-dimensional cobalt sulfide-Mxene (2D CoS-Mo2TiC2) heterostructure supported by a three-dimensional foam substrate. The modification electronic properties caused by unique interfacial interactions resulted in a significant increase in the number of electroactive sites and charge transfer ability, thereby accelerating kinetics of hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) in an alkaline medium. The catalyst required overpotential of 248.2 and 310 mV at a current response of 50 mA cm−2 for HER and OER, respectively, along with a remarkable stability. In addition, a two-electrode electrolyzer derived from the developed 2D CoS-Mo2TiC2 catalyst showed a cell voltage of 1.74 V at 10 mA cm−2 and a good stability during 25 h continuous operation. The achieved results were associated to the formation of a unique interfacial heterostructure with the strong interaction between two material phases, which effectively modified electronic structure and surface chemistry, thereby leading to the enhancement of catalytic performance. The study offered a potential route to synthesize new catalyst for green hydrogen production via water splitting.
Adversarial domain adaptation to reduce sample bias of a high energy physics event classifier
*
Authors: Clavijo J M , Glaysher P , Jitsev J , Katzy J M 
Published: November 2021

Abstract
We apply adversarial domain adaptation in unsupervised setting to reduce sample bias in a supervised high energy physics events classifier training. We make use of a neural network containing event and domain classifier with a gradient reversal layer to simultaneously enable signal versus background events classification on the one hand, while on the other hand minimizing the difference in response of the network to background samples originating from different Monte Carlo models via adversarial domain classification loss. We show the successful bias removal on the example of simulated events at the Large Hadron Collider with

t

t
ˉ

H

signal versus

t

t
ˉ

b

b
ˉ

background classification and discuss implications and limitations of the method.
Restricted Boltzmann machine representation for the groundstate and excited states of Kitaev Honeycomb model
Authors: Noormandipour Mohammadreza , Youran Sun , Haghighat Babak 
Published: November 2021

Abstract
In this work, the capability of restricted Boltzmann machines (RBMs) to find solutions for the Kitaev honeycomb model with periodic boundary conditions is investigated. The measured groundstate energy of the system is compared and, for small lattice sizes (e.g.

3
×
3

with 18 spinors), shown to agree with the analytically derived value of the energy up to a deviation of

0.09
%

. Moreover, the wave-functions we find have

99.89
%

overlap with the exact ground state wave-functions. Furthermore, the possibility of realizing anyons in the RBM is discussed and an algorithm is given to build these anyonic excitations and braid them for possible future applications in quantum computation. Using the correspondence between topological field theories in (2 + 1)d and 2d conformal field theories, we propose an identification between our RBM states with the Moore-Read state and conformal blocks of the 2d Ising model.
Phoresy Involving Insects as Riders or Rides: Life History, Embarkation, and Disembarkation
Authors: Borges Renee M 
Published: November 2021

AbstractThe ability to disperse is vital for all organisms, but especially for those whose habitats deteriorate, necessitating relocation to better feeding or breeding sites. Phoresy is assisted dispersal in which one organism uses another as its vehicle. In this review, phoresy will be largely restricted to cases wherein the rider is not parasitic on the vehicular stage used for dispersal, and in which insects are riders or rides. Phoresy occurs in organisms with limited mobility, and in secondarily brachypterous or completely wingless insects. Intraspecific phoresy also occurs. Generally, immature stages resistant to environmental assaults, such as dauers in nematodes, triungulins in beetles, or deutonymphs in mites, undertake phoresy. A size differential between rider and rider enables several conspecifics to board the same vehicle, likely ensuring mating opportunities at the destination. Riders may have special attachment devices or adhesive secretions to ensure safety during travel. Life cycles of riders and vehicles are often synchronized, and when phoresy is mutualistic, vehicles may also employ chemical tactics to achieve this synchrony. Chemical cues help to identify the appropriate vehicle, for disembarkation, or to lure the vehicle towards riders. Most riders prefer female vehicles, possibly to ensure access to rich nesting sites. Density-dependent selection may operate to limit the number of riders on a vehicle and phoresy may also facilitate sexual selection among riders. Whether vehicles can avoid phoresy is barely understood. This review attempts to place phoresy within a broad evolutionary context and points out the paucity of knowledge in certain research areas.
Potential impacts of Washington State’s wildfire worker protection rule on construction workers
Authors: Zuidema Christopher , Austin Elena , Cohen Martin A , Kasner Edward , Liu Lilian , Busch Isaksen Tania , Lin Ken-Yu , Spector June , Seto Edmund 
Published: November 2021

Abstract
Driven by climate change, wildfires are increasing in frequency, duration, and intensity across the Western United States. Outdoor workers are being exposed to increasing wildfire-related particulate matter and smoke. Recognizing this emerging risk, Washington adopted an emergency rule and is presently engaged in creating a permanent rule to protect outdoor workers from wildfire smoke exposure. While there are growing bodies of literature on the exposure to and health effects of wildfire smoke in the general public and wildland firefighters, there is a gap in knowledge about wildfire smoke exposure among outdoor workers generally and construction workers specifically—a large category of outdoor workers in Washington totaling 200,000 people. Several data sources were linked in this study—including state-collected employment data and national ambient air quality data—to gain insight into the risk of PM2.5 exposure among construction workers and evaluate the impacts of different air quality thresholds that would have triggered a new Washington emergency wildfire smoke rule aimed at protecting workers from high PM2.5 exposure. Results indicate the number of poor air quality days has increased in August and September in recent years. Over the last decade, these months with the greatest potential for particulate matter exposure coincided with an annual peak in construction employment that was typically 9.4–42.7% larger across Washington counties (one county was 75.8%). Lastly, the ‘encouraged’ threshold of the Washington emergency rule (20.5 μg m−3) would have resulted in 5.5 times more days subject to the wildfire rule on average across all Washington counties compared to its ‘required’ threshold (55.5 μg m−3), and in 2020, the rule could have created demand for 1.35 million N-95 filtering facepiece respirators among construction workers. These results have important implications for both employers and policy makers as rules are developed. The potential policy implications of wildfire smoke exposure, exposure control strategies, and data gaps that would improve understanding of construction worker exposure to wildfire smoke are also discussed.
ProteoDisco: a flexible R approach to generate customized protein databases for extended search space of novel and variant proteins in proteogenomic studies
Authors: van de Geer Wesley S , van Riet Job , van de Werken Harmen J G 
Published: November 2021

Abstract

Summary
We present an R-based open-source software termed ProteoDisco that allows for flexible incorporation of genomic variants, fusion genes and (aberrant) transcriptomic variants from standardized formats into protein variant sequences. ProteoDisco allows for a flexible step-by-step workflow allowing for in-depth customization to suit a myriad of research approaches in the field of proteogenomics, on all organisms for which a reference genome and transcript annotations are available.

Availability and implementation
ProteoDisco (R package version ≥ 1.0.0) is available on Bioconductor at https://doi.org/doi:10.18129/B9.bioc.ProteoDisco and from https://github.com/ErasmusMC-CCBC/ProteoDisco/.

Supplementary information
Supplementary data are available at Bioinformatics online.
DeepIDP-2L: protein intrinsically disordered region prediction by combining convolutional attention network and hierarchical attention network
Authors: Tang Yi-Jun , Pang Yi-He , Liu Bin 
Published: November 2021

AbstractMotivationIntrinsically disordered regions (IDRs) are widely distributed in proteins. Accurate prediction of IDRs is critical for the protein structure and function analysis. The IDRs are divided into long disordered regions (LDRs) and short disordered regions (SDRs) according to their lengths. Previous studies have shown that LDRs and SDRs have different proprieties. However, the existing computational methods fail to extract different features for LDRs and SDRs separately. As a result, they achieve unstable performance on datasets with different ratios of LDRs and SDRs.ResultsIn this study, a two-layer predictor was proposed called DeepIDP-2L. In the first layer, two kinds of attention-based models are used to extract different features for LDRs and SDRs, respectively. The hierarchical attention network is used to capture the distribution pattern features of LDRs, and convolutional attention network is used to capture the local correlation features of SDRs. The second layer of DeepIDP-2L maps the feature extracted in the first layer into a new feature space. Convolutional network and bidirectional long short term memory are used to capture the local and long-range information for predicting both SDRs and LDRs. Experimental results show that DeepIDP-2L can achieve more stable performance than other exiting predictors on independent test sets with different ratios of SDRs and LDRs.Availability and implementationFor the convenience of most experimental scientists, a user-friendly and publicly accessible web-server for the new predictor has been established at http://bliulab.net/DeepIDP-2L/. It is anticipated that DeepIDP-2L will become a very useful tool for identification of intrinsically disordered regions.Supplementary informationSupplementary data are available at Bioinformatics online.
Questioning the definition of Tourette syndrome—evidence from machine learning
Authors: Paulus Theresa , Schappert Ronja , Bluschke Annet , Alvarez-Fischer Daniel , Naumann Kim Ezra Robin , Roessner Veit , Bäumer Tobias , Beste Christian , Münchau Alexander 
Published: November 2021

Abstract
Tics in Tourette syndrome are often difficult to discern from single spontaneous movements or vocalizations in healthy people. In this study, videos of patients with Tourette syndrome and healthy controls were taken and independently scored according to the Modified Rush Videotape Rating Scale. We included n = 101 patients with Tourette syndrome (71 males, 30 females, mean age 17.36 years ± 10.46 standard deviation) and n = 109 healthy controls (57 males, 52 females, mean age 17.62 years ± 8.78 standard deviation) in a machine learning-based analysis. The results showed that the severity of motor tics, but not vocal phenomena, is the best predictor to separate and classify patients with Tourette syndrome and healthy controls. This finding questions the validity of current diagnostic criteria for Tourette syndrome requiring the presence of both motor and vocal tics. In addition, the negligible importance of vocalizations has implications for medical practice, because current recommendations for Tourette syndrome probably also apply to the large group with chronic motor tic disorders.
Gastric tumorigenesis induced by combining Helicobacter pylori infection and chronic alcohol through IL-10 inhibition
Authors: Aziz Faisal , Chakraborty Abhijit , Liu Kangdong , Zhang Tianshun , Li Xiang , Du Ruijuan , Monts Josh , Xu Gang , Li Yonghan , Bai Ruihua , Dong Zigang 
Published: November 2021

Abstract
Helicobacter pylori infection and alcohol intake are independent risk factors in gastric carcinogenesis; however, until now, the combined effect of H. pylori infection and alcohol consumption and the specific mechanism is still problematic. Here, we developed a series of mouse models that progress from chronic gastritis to gastric cancer, induced by infecting H. pylori combined with chronic alcohol consumption and then determining the molecular mechanism of the progression by flow cytometry, western blotting, qPCR, Mito Traker assay in the gastric cancer and T-cell lines. Interleukin-10 (IL-10) knockout mice was used to determine whether IL-10 deficiency directly contributes to H. pylori and alcohol induced gastric tumorigenesis. Alcohol consumption, together with H. pylori infection, causes gastric cancer; IL-10 downregulation and mitochondrial metabolic dysfunction in CD8+ cells are also involved. IL-10 knockout accelerates tumor development in mice with either H. pylori infection or alcohol induced gastric cancer or both. IL-10 inhibits glucose uptake and glycolysis and promotes oxidative phosphorylation with lactate inhibition. Consequently, in the absence of IL-10 signaling, CD8+ cells accumulate damaged mitochondria in a mouse model of gastric cancer induced with the combination of alcohol plus H. pylori infection, and this results in mitochondrial dysfunction and production of IL-1β. IL-1β promotes H. pylori infection and reduces NKX6.3 gene expression, resulting in increased cancer cell survival and proliferation. Gastric cancer can be induced by the combination of H. pylori infection and chronic alcohol consumption through IL-10 inhibition induced CD8+ cells dysfunction and NKX6.3 suppression.
Fast unconscious processing of emotional stimuli in early stages of the visual cortex
Authors: Carretié Luis , Fernández-Folgueiras Uxía , Álvarez Fátima , Cipriani Germán A , Tapia Manuel , Kessel Dominique 
Published: November 2021

AbstractSeveral cortical and subcortical brain areas have been reported to be sensitive to the emotional content of subliminal stimuli. However, the timing of these activations remains unclear. Our scope was to detect the earliest cortical traces of emotional unconscious processing of visual stimuli by recording event-related potentials (ERPs) from 43 participants. Subliminal spiders (emotional) and wheels (neutral), sharing similar low-level visual parameters, were presented at two different locations (fixation and periphery). The differential (peak-to-peak) amplitude from CP1 (77 ms from stimulus onset) to C2 (100 ms), two early visual ERP components originated in V1/V2 according to source localization analyses, was analyzed via Bayesian and traditional frequentist analyses. Spiders elicited greater CP1–C2 amplitudes than wheels when presented at fixation. This fast effect of subliminal stimulation—not reported previously to the best of our knowledge—has implications in several debates: 1) The amygdala cannot be mediating these effects, 2) latency of other evaluative structures recently proposed, such as the visual thalamus, is compatible with these results, 3) the absence of peripheral stimuli effects points to a relevant role of the parvocellular visual system in unconscious processing.