bluuebunny/crossref_metadata_2025_split huggingface dataset:
Artificial electric field algorithm based superconducting magnetic energy storage system for damping inter area oscillations
Authors: Manzoor Aaqib , Mufti Mairaj ud Din , Nabi Mohammad Younis 
Published: March 2022

Abstract
This paper presents an artificial electric field algorithm (AEFA) based optimal control of superconducting magnetic energy storage (SMES) system for damping inter area oscillations. The artificial electric field algorithm is based upon Coulomb’s law of electrostatics and Newton’s law of motion. The proposed technique is used to optimize the SMES controller parameters for effective damping of inter area oscillations. Because of the potential for system damage and the subsequent constraints on power transmission along select lines, low frequency inter-area oscillations have been identified as a serious problem in utility systems. With the advancement in power electronics technologies, a new option for damping of power system oscillations has been created by integrating energy storage devices to it. The proposed scheme is tested on a two area interconnected power system which is suitably modelled and it’s modal analysis is done. The participation of each area towards the inter area mode is analyzed by using participation matrix and the suitable placement of SMES units is decided accordingly. MATLAB Simulations are carried out to prove the efficacy of proposed scheme. The simulation results show that proposed SMES controller along with the incorporation of SMES units to each generator bus effectively damps out the inter area oscillations.
Memristive effects due to charge transfer in graphene gated through ferroelectric CuInP2S6
Authors: Dey Anubhab , Yan Wenjing , Balakrishnan Nilanthy , Xie Shihong , Kudrynskyi Zakhar R , Makarovskiy Oleg , Yan Faguang , Wang Kaiyou , Patanè Amalia 
Published: March 2022

Abstract
Ferroelectricity at the nanometre scale can drive the miniaturisation and wide application of ferroelectric devices for memory and sensing applications. The two-dimensional van der Waals (2D-vdWs) ferroelectrics CuInP2S6 (CIPS) has attracted much attention due to its robust ferroelectricity found in thin layers at room temperature. Also, unlike many 2D ferroelectrics, CIPS is a wide band gap semiconductor, well suited for use as a gate in field-effect transistors (FETs). Here, we report on a hybrid FET in which the graphene conducting channel is gated through a CIPS layer. We reveal hysteresis effects in the transfer characteristics of the FET, which are sensitive to the gate voltage, temperature and light illumination. We demonstrate charge transfer at the CIPS/graphene interface in the dark and under light illumination. In particular, light induces a photodoping effect in graphene that varies from n- to p-type with increasing temperature. These hybrid FETs open up opportunities for electrically and optically controlled memristive devices.
Smart Piezo-bonded carbon fibre/epoxy composite structure: experiments and finite element simulation
Authors: Jerold John Britto J , Vasanthanathan A 
Published: March 2022

Abstract
Smart sensors patched to composite structures assist in the prediction of the mechanical behaviour of the structures. The present paper used finite element modelling and experimental procedures to conduct a detailed study on the response of composite laminate bonded with smart piezoelectric material. Fibre reinforced epoxy composite laminate was fabricated using the vacuum assisted resin transfer method. Test coupons in accordance with ASTM standards were prepared using high-speed and high-pressure abrasive water jet cutting. The mechanical properties of the composites were obtained through material characterization and the material properties were incorporated into the Finite element model. The layer-wise strain rate was computed with the ANSYS® Composite Prep Post module. A finite element model of a composite with piezoelectric sensor patch was created in ANSYS® APDL and harmonic analysis was conducted to determine the optimal frequency range for the applied load. An attempt was made to measure the strain by affixing lead zirconate titanate to a carbon fibre reinforced polymer laminate for cantilever configuration, and the LabVIEW® VI software module was integrated with the NI myDAQ system to detect the corresponding voltage for the excited frequency. The values of the generated voltage through numerical simulations were verified and validated using experimental counterparts.
Mechanochemical synthesis of stable, quantum-confined CsPbBr3 perovskite nanocrystals with blue-green emission and high PLQY
Authors: Goyal A , Andrioti E , Tang Y , Zhao Q , Zheng K , Newell K D , Schall P 
Published: March 2022

Abstract
Cesium lead halides are a family of bright, visible-light emitting materials with near-unity photoluminescence quantum yield (PLQY) in nanocrystals (NCs). The usual way to achieve visible light-emission tunability is by mixing halides, which often leads to phase separation and poor stability. While the NCs should also show size-dependent PL emission, reports on strong quantum confinement in these materials are scarce. Here, we report the synthesis of quantum-confined cesium lead bromide (CsPbBr3) NCs via a facile, environment-friendly, and scalable high-energy mechanochemical synthesis route. The PLQY measured is ∼85%, even after 90 days of synthesis, and the emission wavelength is shifted from green, 520 nm, to blue, 460 nm by quantum confinement in NCs of size 3–5 nm. Micro-PL optical spectroscopy and atomic force microscopy confirm the size tunability of PL on a single-dot scale. Our work demonstrates the potential of mechanochemical synthesis in the medium-scale production of bright luminescent quantum-confined NCs that could be extended to other materials as well.
Liquid cooling of stacked piezoelectric actuators for high-power operation
Authors: Zhong Jianpeng , Nishida Rina , Shinshi Tadahiko 
Published: March 2022

Abstract
In this article, we propose a liquid cooling solution to reduce the temperature rise and expand the working range of stacked piezoelectric actuators (PEAs) for high-frequency and large-stroke operation. Based on an analysis and preliminary testing of the power dissipation and temperature rise, a specific liquid cooling solution for a single PEA is designed and its effectiveness is verified through experiments. To incorporate liquid cooling into a high-bandwidth fast steering mirror (FSM) system driven by PEAs, a compact and self-contained cooling unit is proposed and evaluated. Subsequent experimental results validate its effectiveness, but also show some deficiencies for this cooling solution. To further improve the cooling efficiency, two new coolants are adopted based on an analysis of the heat transfer coefficient, and a suitable direct liquid cooling solution is established. Experimental results show that the cooled PEA can operate continuously over 8 kHz with a peak-to-peak voltage of 100 V whilst its maximum temperature is restricted to around 40 °C using this cooling solution. The reliability and coolant insulation properties have been verified by a 3-month long continuously operational test.
RCX—an R package adapting the Cytoscape Exchange format for biological networks
Authors: Auer Florian , Kramer Frank 
Published: March 2022

AbstractMotivationThe Cytoscape Exchange (CX) format is a JSON-based data structure designed for the transmission of biological networks using standard web technologies. It was developed by the network data exchange, which itself serves as online commons to share and collaborate on biological networks. Furthermore, the Cytoscape software for the analysis and visualization of biological networks contributes structure elements to capture the visual layout within the CX format. However, there is a fundamental difference between data handling in web standards and R. A manual conversion requires detailed knowledge of the CX format to reproduce and work with the networks.ResultsHere, we present a software package to create, handle, validate, visualize and convert networks in CX format to standard data types and objects within R. Networks in this format can serve as a source for biological knowledge and also capture the results of the analysis of those while preserving the visual layout across all platforms. The RCX package connects the R environment for statistical computing with outside platforms for storage and collaboration, as well as further analysis and visualization of biological networks.AvailabilityRCX is a free and open-source R package, available on Bioconductor from release 3.15 (https://bioconductor.org/packages/RCX) and via GitHub (https://github.com/frankkramer-lab/RCX).Supplementary informationSupplementary data are available at Bioinformatics Advances online.
Interpretable-ADMET: a web service for ADMET prediction and optimization based on deep neural representation
Authors: Wei Yu , Li Shanshan , Li Zhonglin , Wan Ziwei , Lin Jianping 
Published: March 2022

Abstract

Motivation
In the process of discovery and optimization of lead compounds, it is difficult for non-expert pharmacologists to intuitively determine the contribution of substructure to a particular property of a molecule.

Results
In this work, we develop a user-friendly web service, named interpretable-absorption, distribution, metabolism, excretion and toxicity (ADMET), which predict 59 ADMET-associated properties using 90 qualitative classification models and 28 quantitative regression models based on graph convolutional neural network and graph attention network algorithms. In interpretable-ADMET, there are 250 729 entries associated with 59 kinds of ADMET-associated properties for 80 167 chemical compounds. In addition to making predictions, interpretable-ADMET provides interpretation models based on gradient-weighted class activation map for identifying the substructure, which is important to the particular property. Interpretable-ADMET also provides an optimize module to automatically generate a set of novel virtual candidates based on matched molecular pair rules. We believe that interpretable-ADMET could serve as a useful tool for lead optimization in drug discovery.

Availability and implementation
Interpretable-ADMET is available at http://cadd.pharmacy.nankai.edu.cn/interpretableadmet/.

Supplementary information
Supplementary data are available at Bioinformatics online.
The role of critical immune genes in brain disorders: insights from neuroimaging immunogenetics
Authors: Bian Beilei , Couvy-Duchesne Baptiste , Wray Naomi R. , McRae Allan F. 
Published: March 2022

Abstract
Genetic variants in the human leukocyte antigen and killer cell immunoglobulin-like receptor regions have been associated with many brain-related diseases, but how they shape brain structure and function remains unclear. To identify the genetic variants in HLA and KIR genes associated with human brain phenotypes, we performed a genetic association study of ∼30 000 European unrelated individuals using brain MRI phenotypes generated by the UK Biobank (UKB). We identified 15 HLA alleles in HLA class I and class II genes significantly associated with at least one brain MRI-based phenotypes (P &lt; 5 × 10−8). These associations converged on several main haplotypes within the HLA. In particular, the human leukocyte antigen alleles within an ancestral haplotype 8.1 were associated with multiple MRI measures, including grey matter volume, cortical thickness (TH) and diffusion MRI (dMRI) metrics. These alleles have been strongly associated with schizophrenia. Additionally, associations were identified between HLA-DRB1*04∼DQA1*03:01∼DQB1*03:02 and isotropic volume fraction of diffusion MRI in multiple white matter tracts. This haplotype has been reported to be associated with Parkinson’s disease. These findings suggest shared genetic associations between brain MRI biomarkers and brain-related diseases. Additionally, we identified 169 associations between the complement component 4 (C4) gene and imaging phenotypes. We found that C4 gene copy number was associated with cortical TH and dMRI metrics. No KIR gene copy numbers were associated with image-derived phenotypes at genome-wide threshold. To address the multiple testing burden in the phenome-wide association study, we performed a multi-trait association analysis using trait-based association test that uses extended Simes procedure and identified MRI image-specific associations. This study contributes to insight into how critical immune genes affect brain-related traits as well as the development of neurological and neuropsychiatric disorders.
Performing “Realness” in a Transnational Ethnic Imaginary: Starring Dilraba on Post-2010 Chinese TV
Authors: Zhao Jamie J 
Published: March 2022

Abstract
This research examines the rising and televisual mediation of Xinjiang ethnic minority female celebrities within Han-centric China’s heteropatriarchal, nationalistic cultural imaginaries in the post-2010 years. Specifically, my analysis focuses on one of the most popular Uyghur female TV celebrities in China, Dilraba Dilmurat. By identifying a popular cultural discourse of “transnational ethnic imaginary” surrounding her celebrity images, I explore the ways in which her geo-cultural-ethnic-gender identity has been capitalized on by the Chinese TV industry and subjectively performed by herself within official and popular fantasies about a global, harmonious China. Ultimately, I argue that her success as a TV star in the post-2010 years exposes the artificiality and contingency of the self-imagined dimorphism of the dominant Han Chinese and ethnic minorities within the party-state’s interethnic, transnational, heteropatriarchal-structured fantasies about a global China and a homogenous Chineseness.
A shared brain system forming confidence judgment across cognitive domains
Authors: Rouault Marion , Lebreton Maël , Pessiglione Mathias 
Published: March 2022

AbstractConfidence is typically defined as a subjective judgment about whether a decision is right. Decisions are based on sources of information that come from various cognitive domains and are processed in different brain systems. An unsettled question is whether the brain computes confidence in a similar manner whatever the domain or in a manner that would be idiosyncratic to each domain. To address this issue, human participants performed two tasks probing confidence in decisions made about the same material (history and geography statements), but based on different cognitive processes: semantic memory for deciding whether the statement was true or false, and duration perception for deciding whether the statement display was long or short. At the behavioral level, we found that the same factors (difficulty, accuracy, response time, and confidence in the preceding decision) predicted confidence judgments in both tasks. At the neural level, we observed using functional magnetic resonance imaging that confidence judgments in both tasks were associated to activity in the same brain regions: positively in the ventromedial prefrontal cortex and negatively in a prefronto-parietal network. Together, these findings suggest the existence of a shared brain system that generates confidence judgments in a similar manner across cognitive domains.
CarbArrayART: a new software tool for carbohydrate microarray data storage, processing, presentation, and reporting
Authors: Akune Yukie , Arpinar Sena , Silva Lisete M , Palma Angelina S , Tajadura-Ortega Virginia , Aoki-Kinoshita Kiyoko F , Ranzinger René , Liu Yan , Feizi Ten 
Published: March 2022

Abstract
Glycan microarrays are essential tools in glycobiology and are being widely used for assignment of glycan ligands in diverse glycan recognition systems. We have developed a new software, called Carbohydrate microArray Analysis and Reporting Tool (CarbArrayART), to address the need for a distributable application for glycan microarray data management. The main features of CarbArrayART include: (i) Storage of quantified array data from different array layouts with scan data and array-specific metadata, such as lists of arrayed glycans, array geometry, information on glycan-binding samples, and experimental protocols. (ii) Presentation of microarray data as charts, tables, and heatmaps derived from the average fluorescence intensity values that are calculated based on the imaging scan data and array geometry, as well as filtering and sorting functions according to monosaccharide content and glycan sequences. (iii) Data export for reporting in Word, PDF, and Excel formats, together with metadata that are compliant with the guidelines of MIRAGE (Minimum Information Required for A Glycomics Experiment). CarbArrayART is designed for routine use in recording, storage, and management of any slide-based glycan microarray experiment. In conjunction with the MIRAGE guidelines, CarbArrayART addresses issues that are critical for glycobiology, namely, clarity of data for evaluation of reproducibility and validity.
CarboGrove: a resource of glycan-binding specificities through analyzed glycan-array datasets from all platforms
Authors: Klamer Zachary L , Harris Chelsea M , Beirne Jonathan M , Kelly Jessica E , Zhang Jian , Haab Brian B 
Published: March 2022

Abstract
Glycan arrays continue to be the primary resource for determining the glycan-binding specificity of proteins. The volume and diversity of glycan-array data are increasing, but no common method and resource exist to analyze, integrate, and use the available data. To meet this need, we developed a resource of analyzed glycan-array data called CarboGrove. Using the ability to process and interpret data from any type of glycan array, we populated the database with the results from 35 types of glycan arrays, 13 glycan families, 5 experimental methods, and 19 laboratories or companies. In meta-analyses of glycan-binding proteins, we observed glycan-binding specificities that were not uncovered from single sources. In addition, we confirmed the ability to efficiently optimize selections of glycan-binding proteins to be used in experiments for discriminating between closely related motifs. Through descriptive reports and a programmatically accessible Application Programming Interface, CarboGrove yields unprecedented access to the wealth of glycan-array data being produced and powerful capabilities for both experimentalists and bioinformaticians.
Implementing active play standards: a qualitative study with licensed childcare providers in British Columbia, Canada
Authors: Buckler E Jean , Mâsse Louise C , Faulkner Guy E , Puterman Eli , McConnell-Nzunga Jennifer , Naylor Patti-Jean 
Published: March 2022

SummaryWith an increasing number of children attending regular early childhood education and care (ECEC), this setting presents an opportunity to develop physical activity habits and movement skills of children. These behaviours play an important role in the development and well-being of children. In 2017, an Active Play Standard was introduced in British Columbia, Canada, to mandate practices related to physical activity, screen time and movement skill development in licensed ECEC. A capacity-building initiative including training and online resources was released alongside these guidelines to support implementation. The purpose of this study was to qualitatively examine the barriers and facilitators ECEC practitioners faced in implementing the standard, and to explore the role of the capacity-building initiative. Data were collected via semi-structured telephone interviews with educators (n = 23). Data were coded using thematic analysis and sorted into three major themes influencing provision of physical activity opportunities: attributes and impact of the Active Play standard and capacity-building workshop, characteristics of providers and characteristics of ECEC settings. Future studies should consider targeting factors including organizational culture and climate, and provider capacity to provide physical activity and fundamental movement skill programming, and support for facility level policies and collaborative planning processes that create a positive physical activity culture.
Genetic and phenotypic links between obesity and extracellular vesicles
Authors: Zhai Ranran , Pan Lu , Yang Zhijian , Li Ting , Ning Zheng , Pawitan Yudi , Wilson James F , Wu Di , Shen Xia 
Published: March 2022

Abstract
Obesity has a highly complex genetic architecture, making it difficult to understand the genetic mechanisms, despite the large number of discovered loci via genome-wide association studies (GWAS). Omics techniques have provided a better resolution to view this problem. As a proxy of cell-level biology, extracellular vesicles (EVs) are useful for studying cellular regulation of complex phenotypes such as obesity. Here, in a well-established Scottish cohort, we utilized a novel technology to detect surface proteins across millions of single EVs in each individual’s plasma sample. Integrating the results with established obesity GWAS, we inferred 78 types of EVs carrying one or two of 12 surface proteins to be associated with adiposity-related traits such as waist circumference. We then verified that particular EVs’ abundance is negatively correlated with body adiposity, while no association with lean body mass. We also revealed that genetic variants associated with protein-specific EVs capture 2–4-fold heritability enrichment for blood cholesterol levels. Our findings provide evidence that EVs with specific surface proteins have phenotypic and genetic links to obesity and blood lipids, respectively, guiding future EV biomarker research.
Identifying factors contributing to increased susceptibility to COVID-19 risk: a systematic review of Mendelian randomization studies
Authors: Luo Shan , Liang Ying , Wong Tommy Hon Ting , Schooling Catherine Mary , Au Yeung Shiu Lun 
Published: March 2022

Abstract

Background
To summarize modifiable factors for coronavirus disease 2019 (COVID-19) suggested by Mendelian randomization studies.

Methods
In this systematic review, we searched PubMed, EMBASE and MEDLINE, from inception to 15 November 2021, for Mendelian randomization studies in English. We selected studies that assessed associations of genetically predicted exposures with COVID-19-related outcomes (severity, hospitalization and susceptibility). Risk of bias of the included studies was evaluated based on the consideration of the three main assumptions for instrumental variable analyses.

Results
We identified 700 studies through systematic search, of which 50 Mendelian randomization studies were included. Included studies have explored a wide range of socio-demographic factors, lifestyle attributes, anthropometrics and biomarkers, predisposition to diseases and druggable targets in COVID-19 risk. Mendelian randomization studies suggested that increases in smoking, obesity and inflammatory factors were associated with higher risk of COVID-19. Predisposition to ischaemic stroke, combined bipolar disorder and schizophrenia, attention-deficit and hyperactivity disorder, chronic kidney disease and idiopathic pulmonary fibrosis was potentially associated with higher COVID-19 risk. Druggable targets, such as higher protein expression of histo-blood group ABO system transferase (ABO), interleukin (IL)-6 and lower protein expression of 2′-5′ oligoadenylate synthetase 1 (OAS1) were associated with higher risk of COVID-19. There was no strong genetic evidence supporting the role of vitamin D, glycaemic traits and predisposition to cardiometabolic diseases in COVID-19 risk.

Conclusion
This review summarizes modifiable factors for intervention (e.g. smoking, obesity and inflammatory factors) and proteomic signatures (e.g. OAS1 and IL-6) that could help identify drugs for treating COVID-19.