bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvement of the DC electrical performance of silicone rubber for cable accessories through aromatic hydrocarbon voltage stabilizer
Authors: Zhu Xiaoqian , Li Wenpeng , Li Honglei , Yuan Jialiang , Qiao Bo , Zhou Yuanxiang 
Published: January 2022

AbstractThe development of high voltage direct current (DC) cables poses new challenges to insulation. The electrical properties of silicone rubber (SiR) limit its application as cable accessories at high voltage levels. Therefore, this article attempted to add two kinds of voltage stabilizers with high electron affinity into the SiR to improve its DC electrical properties. The preferred addition percentage was initially determined by the breakdown strength. Properties such as conductivity, dielectric losses, and space charge distribution were also measured. The results showed that the DC electrical properties of organically modified SiR had improved comprehensively. There might be two reasons. First, the voltage stabilizer has a high electron affinity, which means it can trap high‐energy electrons, thus reducing the number of carriers and mobility. In addition, it has an electric field gradient effect, which can homogenize the electric field by migration.
Shear enhancement of mechanical and microstructural properties of synthetic graphite and ultra‐high molecular weight polyethylene carbon composites
Authors: Favreau Hannah J. , Miroshnichenko Kateryna I. , Solberg Peder C. , Tsukrov Igor I. , Van Citters Douglas W. 
Published: January 2022

AbstractUltra‐high molecular weight polyethylene (UHMWPE) has a variety of industrial and clinical applications due to its superb mechanical properties including ductility, tensile strength, and work‐to‐failure. The versatility of UHMWPE is hindered by the difficulty in processing the polymer into a well consolidated material. This study presents on the effects of shear imparted by equal channel angular pressing (ECAP) on UHMWPE composites containing Nano27 Synthetic Graphite (N27SG). Ductility and work‐to‐failure improvements up to ~60–80% are obtained in sheared N27SG‐UHMWPE composites as compared to non‐sheared N27SG‐UHMWPE controls of the same composition. Microscopy reveals increased fusion at particle boundaries and smaller voids in the sheared materials. Micro‐computed tomography results indicate different distribution of N27SG particulates in ECAP samples as compared to CM indicating enhanced grain boundary interactions. Tradeoffs are not avoided as ECAP samples were lower in conductivity as compared to compression molded (CM) billets of the same weight percent. However, ECAP samples were able to be doped with more N27SG allowing for an ~170% increase in conductivity over CM samples of the same work‐to‐failure. This work shows that ECAP is a viable processing method for obtaining stronger, more ductile conductive composite materials.
Hydrothermal aging of polyimide film
Authors: Braun Christina Anna , Nam Seo Lin , de la Mata Aidee Paulina , Harynuk James , Chung Hyun‐Joong , Dolez Patricia Isabelle 
Published: January 2022

AbstractThe hydrothermal aging of a commercial polyimide film, (poly[pyromellitic dianhydride‐co‐4,4′‐oxydianiline]) is investigated, providing further insight into the well‐known loss of properties that can occur for these materials in the presence of moisture. The study involved measuring ATR‐FTIR, ultimate tensile strength, and percent elongation at break, under accelerated hydrothermal aging conditions at three different temperatures (70, 80, and 90°C). ATR‐FTIR data was analyzed using chemometrics in order to identify significant trends that develop upon the accelerated aging conditions. The most dramatic changes were observed for the aging at 90°C. Changes in the ATR‐FTIR spectra for aging at all three temperatures can be attributed to hydrolysis of the imide groups. Ultimate tensile strength was also used to monitor the hydrothermal aging process. This data was used to construct an Arrhenius plot from which an activation energy of 71.8 KJ/mol was determined for the hydrothermal aging process. This value is comparable to that of textiles used in fire protective clothing, suggesting that polyimide is a viable candidate for modeling the degradation of these textiles. This paper also shows the large potential of chemometrics for polymer aging studies as it allows identifying degradation mechanisms from subtle chemical changes in the materials.
Machine learning models for estimating the AC conductivity mechanism of Edirne Kufeki stone reinforced Polypyrrole composites
Authors: Eyecioğlu Önder 
Published: January 2022

AbstractIn this study, the detailed temperature and frequency‐dependent (ac) conductivity analyzes of Polypyrrole/Edirne Kufeki Stone (PPy/EKS) composites have been realized by considering both experimental and Machine Learning (ML) algorithms predicted data. In this respect, the experimental ac conductivity data of pure PPy, PPy/5% EKS, PPy/10% EKS, and PPy/20% EKS composites between 1 Hz and 40 MHz at 296, 313, and 333 K temperatures have been used for the data set of ML. First, a benchmark study has been done for applied ML algorithms to obtain an eligible model. It is found that the Gaussian process regression (GPR) algorithm provided the best prediction performance. Since it has been observed a good conformity between the experimental and prediction data of GPR model, the ac conductivity (σac) versus angular frequency (w) curves of the composites produced experimentally have been estimated for new temperature values, which were not treated experimentally. Then, the curves of at temperature values have been estimated by GPR which is for the EKS composites at various contributions that have not been experimentally produced. Ultimately, the GPR algorithm developed in the present work enables us to determine the optimum EKS additive percentage, working temperature, and frequency band for the PPy polymer matrix.
Studies on the application of poly(acrylate‐co‐maleic anhydride) amides with N‐phenyl‐p‐phenylenediamine as multifunctional lube additives
Authors: Faujdar Ekta , Singh Raj K. 
Published: January 2022

AbstractThree polymeric amides were developed by utilizing three acrylates of alkyl chain C‐8, C‐12 and C‐18 and maleic anhydride via polymerization pathway followed by successful coupling with N‐phenyl‐p‐phenylenediamine to give poly(Ac8‐co‐MA)PPA, poly(Ac12‐co‐MA)PPA and poly(Ac18‐co‐MA)PPA. After successful molecular identification, application as lubricant additives as viscosity index improver, pour point depressants, deposit control agents and anticorrosion was done in polyol based synthetic lube oil. A rheological study was also carried out. For comparative performance evaluation, the commercial additives were also taken. Because of the diphenyl moiety in the molecular structure, additives showed the DPPH (2,2‐diphenyl‐1‐picrylhydrazyl) radical scavenging activity. Poly(Ac18‐co‐MA)PPA additive at a high concentration of 5000 ppm, the viscosity index increased from 179 to 217 while the pour point decreased from −18 to −30°C. As far as the detergent dispersant property is concerned, poly(Ac18‐co‐MA) reduced the coking value from 87.5 to 13.2 mg, while % dispersancy increased from 20% to 42%.
Stability Enhancement of Zinc‐Ion Batteries Using Non‐Aqueous Electrolytes
Authors: Kao‐ian Wathanyu , Mohamad Ahmad Azmin , Liu Wei‐Ren , Pornprasertsuk Rojana , Siwamogsatham Siwaruk , Kheawhom Soorathep 
Published: January 2022

AbstractOwing to their high energy density and low cost, zinc‐ion batteries (ZIBs) are gaining much in popularity. However, in practice, issues with hydrogen evolution, zinc dendrite development, corrosion, and passivation persist. Such drawbacks prove difficult to eradicate completely. To address these difficulties, many techniques have been proposed including inhibitor addition, artificial SEI, and Zn electrode modification. As a result, some researchers believe that using non‐proton donor electrolytes or nonaqueous electrolytes can fundamentally solve these problems. Herein, the efforts to apply nonaqueous electrolytes such as organic electrolytes, room‐temperature ionic liquids, and deep‐eutectic solvents to ZIBs are described. An understanding of the mechanisms of nonaqueous ZIBs (NZIBs) regarding zinc plating/stripping and intercalation/deintercalation is also highlighted. Importantly, research gaps are identified in order to pave the way for future study. In addition, an attempt is made to offer a viewpoint on critical topics as well as a benchmarking and enhancement of NZIB technologies.
Development and validation of an LC–MS/MS method for the quantification of artificial sweeteners in human matrices
Authors: Greibe Eva , Leth‐Møller Magnus , Stampe Sofie , Ovesen Per , Pedersen Michael , Hoffmann‐Lücke Elke 
Published: January 2022

AbstractArtificial sweeteners are widely used as substitutes for sugar. The sweeteners are generally considered safe, however their whereabouts during pregnancy and lactation and the effect on child development are poorly explored. There is a need for new tools to measure these substances during pregnancy and lactation. Here, we describe the development and validation of a sensitive liquid chromatography–tandem mass spectrometry method for the simultaneous quantification of acesulfame, cyclamate, saccharin and sucralose in human plasma, umbilical cord blood, amniotic fluid and breast milk. The samples were prepared by protein precipitation and separated on a Luna Omega Polar C18 column (2.1 × 50 mm, 1.6 μm). Electrospray ionization in negative mode and multiple reaction monitoring were used to monitor the ion transitions. The validated concentration ranges were from 1 to 500 ng/ml (10–500 ng/ml for sucralose). Interassay precisions were all ≤15% and the accuracies were within ±15%. Stability, linearity, dilution integrity, carryover and recovery were also examined and satisfied the validation criteria. Finally, this analytical method was successfully applied on spiked samples of plasma, umbilical cord blood, amniotic fluid and breast milk, proving its suitability for use in clinical studies on artificial sweeteners, including during pregnancy and lactation.
Detecting driver stress and hazard anticipation using real‐time cardiac measurement: A simulator study
Authors: Kerautret Laora , Dabic Stephanie , Navarro Jordan 
Published: January 2022

AbstractObjectivesIn the context of growing interest in real‐time driver stress detection systems, we question the value of using heart rate change over short time periods to detect driver stress and hazard anticipation.MethodsTo this end, we explored changes in heart rate and speed as well as perceived stress in 27 drivers in a driving simulator. Driver stress was triggered by using hazardous road events, while hazard anticipation was manipulated using three levels of hazard predictability: unpredictable (U), predictable (P), and predictable and familiar (PF).ResultsThe main results indicate that using heart rate change (1) is a good indicator for detecting driver stress in real time, (2) provides a cardiac signature of hazard anticipation, and (3) was affected by perceived stress groups. Further investigation is needed to validate the lack of relationship between increased anticipation/predictability and strengthened cardiac signature.ConclusionsThese results support the use of heart rate change as an indicator of real‐time driver stress and hazard anticipation.
Impact of information technology and knowledge sharing on circular food supply chains for green business growth
Authors: Ersoy Pervin , Börühan Gülmüş , Kumar Mangla Sachin , Hormazabal Jorge Hernandez , Kazancoglu Yigit , Lafcı Çisem 
Published: January 2022

AbstractRapid and dynamic changes in environment, technologies, consumer behavior, policy making, and climate are putting extra pressure to food supply chain, especially in terms of efficiently manage food security, food surplus, food loss, and waste. These changes directly affect food supply chain negatively. Thus, transition into more circular approach for green business growth in food supply chains is a necessity. One way to reduce this negativity is to ensure the share of information along the chain. With this context, sharing information and knowledge among the food supply chain can facilitate practices from a circularity and green perspectives. Hence, this research focuses on understanding and revealing knowledge‐sharing networks challenges, barriers, and benefits across every food supply chain layer, presenting tangible contributions to improve traceability in circularity perspectives with refuse, rethink, reduce, reuse, repair, refurbish, remanufacture, repurpose, recycle, and recover challenges. Therefore, and to provide a green business growth, this study examines the practice of knowledge sharing among real‐life industry food stakeholders in the meat sector regarding their dimensions, what type of knowledge is shared and whether there are differences among specific groups of food stakeholders for the knowledge sharing. The aim of this research is to generate a validated conceptual framework to reveal how information technologies contributes to a more efficient knowledge sharing practices, hence, to impact the enhancement of efficient circular food supply chains for green business growth.
Design and clinical application of injectable hydrogels for musculoskeletal therapy
Authors: Øvrebø Øystein , Perale Giuseppe , Wojciechowski Jonathan P. , Echalier Cécile , Jeffers Jonathan R. T. , Stevens Molly M. , Haugen Håvard J. , Rossi Filippo 
Published: January 2022

AbstractMusculoskeletal defects are an enormous healthcare burden and source of pain and disability for individuals. With an aging population, the proportion of individuals living with these medical indications will increase. Simultaneously, there is pressure on healthcare providers to source efficient solutions, which are cheaper and less invasive than conventional technology. This has led to an increased research focus on hydrogels as highly biocompatible biomaterials that can be delivered through minimally invasive procedures. This review will discuss how hydrogels can be designed for clinical translation, particularly in the context of the new European Medical Device Regulation (MDR). We will then do a deep dive into the clinically used hydrogel solutions that have been commercially approved or have undergone clinical trials in Europe or the United States. We will discuss the therapeutic mechanism and limitations of these products. Due to the vast application areas of hydrogels, this work focuses only on treatments of cartilage, bone, and the nucleus pulposus. Lastly, the main steps toward clinical translation of hydrogels as medical devices are outlined. We suggest a framework for how academics can assist small and medium MedTech enterprises conducting the initial clinical investigation and post‐market clinical follow‐up required in the MDR. It is evident that the successful translation of hydrogels is governed by acquiring high‐quality pre‐clinical and clinical data confirming the device mechanism of action and safety.
Proceedings from the 3rd International Conference on Microbiome Engineering
Authors: McClure Sandra , Enam Fatima , Arnold Jack , Mimee Mark 
Published: January 2022

AbstractThe human microbiome has been inextricably linked to multiple facets of human physiology. From an engineering standpoint, the ability to precisely control the composition and activity of the microbiome holds great promise for furthering our understanding of disease etiology and for new avenues of therapeutic and diagnostic agents. While the field of microbiome research is still in its infancy, growing engineering efforts are emerging to enable new studies in the microbiome and to rapidly translate these findings to microbiome‐based interventions. At the 3rd International Conference on Microbiome Engineering, leading experts in the field presented state‐of‐the‐art work in microbiome engineering, discussing probiotics, prebiotics, engineered microbes, microbially derived biomolecules, and bacteriophage.
A multi‐method evaluation of a compassion‐focused cognitive behavioural psychotherapy group for people who self‐harm
Authors: Rayner Gillian Clare , Bowling Gosia , Bluff Lisa , Wright Karen , Ashworth‐Lord Anneliese , Laird Catriona 
Published: January 2022

AbstractObjectiveThis paper describes the content and multi‐method evaluation of a compassion‐focused cognitive behavioural psychotherapy (CBT) group for people who self‐harm/injure.MethodQuantitative questionnaires and a qualitative focus group were used for the three participants. Reflective diary contents were analysed.ResultsDescriptive statistics were used to analyse the questionnaires. These demonstrated positive reductions in the GAD‐7 and PHQ‐9 scores but no significant change in self‐compassion scores. The Cognitions of Self‐Injurious Behaviour Scale demonstrated some positive belief changes. Participants reported improved self‐awareness, alternative coping and improved emotional regulation. All participants reported anger, anxiety and sadness in their diaries; one reported self‐hatred, and another reported feeling dead and numb. Distraction was considered a useful strategy to avoid or delay self‐harm. Interpretative Phenomenological Analysis (IPA) was used and identified six superordinate themes: ‘The secret's out! Openness & Honesty’, ‘Care without fear: calm acceptance’, ‘Skills not Spills’, ‘We're all in it together', ‘Compassion, not competition nor comparison’ and ‘Fear of flying solo’.ConclusionDespite the small number of participants, the combination of compassion‐focused therapy and CBT appears to hold future promise for further research on effectiveness.
Antiviral Activities of Novel Myricetin Derivatives Containing 1,3,4‐Oxadiazole Bisthioether
Authors: Peng Feng , Liu Tingting , Cao Xiao , Wang Qifan , Liu Fang , Liu Liwei , He Ming , Xue Wei 
Published: January 2022

AbstractA class of novel myricetin derivatives containing 1,3,4‐oxadiazole bisthioether were synthesized. The results of antiviral biological activity demonstrated that the partially compounds exhibited good antiviral effects against tobacco mosaic virus. The in vivo curative and protective activities of compound E12 against TMV was quite significant. The EC50 value of the curative activity of E12 was 128.8 μg/mL, while the value of ningnanmycin was 296.4 μg/mL. Similarly, the EC50 value of the protective activity of E12 was 99.1 μg/mL, while the value of ningnanmycin was 307.6 μg/mL. The microscale thermophoresis data indicated that the binding value of ningnanmycin and TMV‐CP was 2.726±1.301 μM, which was not as good as the binding value of E12 and TMV‐CP was 0.029±0.013 μM. This study showed that novel myricetin derivatives containing 1,3,4‐oxadiazole bisthioether may be a kind of agricultural antiviral drugs with great potential.
Ultrafast Spectroscopy of Fe(II) Complexes Designed for Solar‐Energy Conversion: Current Status and Open Questions
Authors: Cebrián Cristina , Pastore Mariachiara , Monari Antonio , Assfeld Xavier , Gros Philippe C. , Haacke Stefan 
Published: January 2022

AbstractOne major challenge of future sustainable photochemistry is to replace precious and rare transition metals in applications such as energy conversion or electroluminescence by earth‐abundant, cheap, and recyclable materials. This involves using coordination complexes of first row transition metals such as Cu, Cr, or Mn. In the case of iron, which is attractive due to its natural abundance, fundamental limitations imposed by the small ligand field splitting energy have recently been overcome. In this review article, we briefly summarize the present knowledge and understanding of the structure‐property relationships of Fe(II) and Fe(III) complexes with excited state lifetimes in the nanosecond range. However, our main focus is to examine to which extent the ultrafast spectroscopy methods used so far provided insight into the excited state structure and the photo‐induced dynamics of these complexes. Driven by the main question of how to spectroscopically, i. e. in energy and concentration, differentiate the population of ligand‐ vs. metal‐centered states, the hitherto less exploited ultrafast vibrational spectroscopy is suggested to provide valuable complementary insights.
Molecular mechanisms governing circulating immune cell heterogeneity across different species revealed by single‐cell sequencing
Authors: Li Zhibin , Sun Chengcheng , Wang Fei , Wang Xiran , Zhu Jiacheng , Luo Lihua , Ding Xiangning , Zhang Yanan , Ding Peiwen , Wang Haoyu , Pu Mingyi , Li Yuejiao , Wang Shiyou , Qin Qiuyu , Wei Yanan , Sun Jian , Wang Xiangdong , Luo Yonglun , Chen Dongsheng , Qiu Wei 
Published: January 2022

AbstractBackgroundImmune cells play important roles in mediating immune response and host defense against invading pathogens. However, insights into the molecular mechanisms governing circulating immune cell diversity among multiple species are limited.MethodsIn this study, we compared the single‐cell transcriptomes of immune cells from 12 species. Distinct molecular profiles were characterized for different immune cell types, including T cells, B cells, natural killer cells, monocytes, and dendritic cells.ResultsOur data revealed the heterogeneity and compositions of circulating immune cells among 12 different species. Additionally, we explored the conserved and divergent cellular crosstalks and genetic regulatory networks among vertebrate immune cells. Notably, the ligand and receptor pair VIM‐CD44 was highly conserved among the immune cells.ConclusionsThis study is the first to provide a comprehensive analysis of the cross‐species single‐cell transcriptome atlas for peripheral blood mononuclear cells (PBMCs). This research should advance our understanding of the cellular taxonomy and fundamental functions of PBMCs, with important implications in evolutionary biology, developmental biology, and immune system disorders.
A novel network traffic combination prediction model
Authors: Tian Zhongda , Song Pengfei 
Published: January 2022

SummaryNetwork has become an indispensable part of public life. To improve network utilization, network performance, network quality, and enhance network security, precise prediction of network traffic is an indispensable method and basis for solving the above problems. In order to accurately predict the network traffic, a novel combination prediction model for network traffic is proposed. In this model, local mean decomposition (LMD), bidirectional long short‐term memory (BiLSTM), and Bayesian optimization algorithm are combined. First, the LMD method decomposes the network traffic time series to obtain several product function (PF) components and a residual by LMD. Then, each PF component and residual is predicted with BiLSTM model. Meanwhile, the Bayesian optimization algorithm is introduced to optimize the hyperparameters of BiLSTM. Finally, the predicted value of each PF component and residual is linearly superimposed to obtain the final predicted value. Through the study of two groups of actual network traffic datasets and compared with a variety of state‐of‐the‐art prediction models, the proposed model has a preferable prediction results by comparison of the results.