bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Progress and Comprehensive Analysis of Supercapacitors for Alternating Current Line Filtering: A Review
Authors: Zhang Shuting , Li Bofan , Cui Chaojie , Qian Weizhong , Jin Yong 
Published: February 2023

AbstractTo address the potential application of supercapacitors (SCs) in the field of alternating current filtering, this review summarizes the working mechanism toward ultrafast response, the progress of SCs in electrode materials, electrolytes (aqueous, organic electrolyte, and ionic liquids), current collectors, as well as device configuration. The performance of SCs is compared comprehensively with that of the commercial aluminum electrolyte capacitor (AEC) from the viewpoint of operating temperature, voltage, response time, impedance phase angle, and capacitance. Especially, there exists a big gap between AECs and SCs in terms of the operating temperature and operating voltage. And we give insights into future research focus for high‐frequency SCs, in terms of mechanism, structural design, and application management.
Nanostructuring Strategies for Silicon‐based Anodes in Lithium‐ion Batteries: Tuning Areal Silicon Loading, SEI Formation/Irreversible Capacity Loss, Rate Capability Retention and Electrode Durability
Authors: Ezzedine Mariam , Jardali Fatme , Florea Ileana , Zamfir Mihai‐Robert , Cojocaru Costel‐Sorin 
Published: February 2023

AbstractInvited for this month's cover picture is the group of Prof. Dr. Costel‐Sorin Cojocaru. The cover picture illustrates the hierarchical hybrid nanostructured electrode composed of vertically aligned carbon nanotubes decorated with silicon nanoparticles as anode for next generation lithium‐ion batteries. Read the full text of the Research Article at 10.1002/batt.202200451.
Modeling the effect of oxidative stress on Bordetella pertussis fermentations
Authors: Vitelli Michael , Tamer Ibrahim Melih , Pritzker Mark , Budman Hector 
Published: February 2023

AbstractA mathematical model is proposed for Bordetella pertussis with the main goal to better understand and describe the relation between cell growth, oxidative stress and NADPH levels under different oxidative conditions. The model is validated with flask experiments conducted under different conditions of oxidative stress induced by high initial glutamate concentrations, low initial inoculum and secondary culturing following exposure to starvation. The model exhibited good accuracy when calibrated and validated for the different experimental conditions. From comparisons of model predictions to data with different model mechanisms, it was concluded that intracellular reactive oxidative species only have an indirect effect on growth rate by reacting with NADPH and thereby reducing the amount of NADPH that is available for growth.
Microservices‐based student support framework (MicSSF) to enhance equity in education
Authors: Shaiba Hadil , Hadjouni Myriam , John Maya 
Published: February 2023

AbstractCOVID‐19 has exposed and widened the disparity in education. The paper reviews the efforts made by educational institutions and organizations to offer services to the disadvantaged in an effort to eliminate the educational gap. Based on the literature, the primary issues which led to increasing in the gap of educational inequality were identified as the need for books, internet connection, study gadgets/devices, extra tutoring, food and study space, and psychological counseling. This paper proposes an online system using the microservices architecture to provide a holistic system that addresses the key concerns that contributed to the educational discrepancy. The application proposes a variety of business services that are logically separated from each other, and that can be deployed and scaled independently. Each of the provided services is autonomous and can communicate with other services.
Optimization of the Lead Compound NVP‐BHG712 as a Colorectal Cancer Inhibitor
Authors: Tröster Alix , DiPrima Michael , Jores Nathalie , Kudlinzki Denis , Sreeramulu Sridhar , Gande Santosh L. , Linhard Verena , Ludig Damian , Schug Alexander , Saxena Krishna , Reinecke Maria , Heinzlmeir Stephanie , Leisegang Matthias S. , Wollenhaupt Jan , Lennartz Frank , Weiss Manfred S. , Kuster Bernhard , Tosato Giovanna , Schwalbe Harald 
Published: February 2023

AbstractThe ephrin type‐A receptor 2 (EPHA2) kinase belongs to the largest family of receptor tyrosine kinases. There are several indications of an involvement of EPHA2 in the development of infectious diseases and cancer. Despite pharmacological potential, EPHA2 is an under‐examined target protein. In this study, we synthesized a series of derivatives of the inhibitor NVP‐BHG712 and triazine‐based compounds. These compounds were evaluated to determine their potential as kinase inhibitors of EPHA2, including elucidation of their binding mode (X‐ray crystallography), affinity (microscale thermophoresis), and selectivity (Kinobeads assay). Eight inhibitors showed affinities in the low‐nanomolar regime (KD<10 nM). Testing in up to seven colon cancer cell lines that express EPHA2 reveals that several derivatives feature promising effects for the control of human colon carcinoma. Thus, we have developed a set of powerful tool compounds for fundamental new research on the interplay of EPH receptors in a cellular context.
Mixture Condensation of Ethanol/Water and Ethanol/Siloxane in a Vertical Double Pipe
Authors: Zimmermann Conrad , Lubos Nico , Dagli Cagatay Necati , Kabelac Stephan 
Published: February 2023

AbstractEco‐friendly mixtures may substitute pure working fluids in thermodynamic cycle processes, yet the existing calculation approaches of mixture condensation are complex due to iterative procedures and multiple input data. To simplify condenser design, this project aims for a new calculation method of mixtures. On this behalf, experimental data for the condensation of ethanol/water and ethanol/octamethyltrisiloxane is provided within a wide composition range to identify the most influential parameters. Finally, a practical prediction method for heat transfer coefficients of mixtures is suggested.
Microtubule‐associated proteins and enzymes modifying tubulin
Authors: Peng Nannan , Nakamura Fumihiko 
Published: February 2023

AbstractMicrotubules (MTs) are essential for many cellular processes including establishment of cell shape and polarity, chromosome segregation, vesicle transport, and nuclear positioning. Human cells express 22 tubulin isoforms that have both overlapping and distinctive functions. Tubulins reversely polymerize to form cylindrical MTs, while MT‐associated proteins (MAPs), posttranslational modifications (PTMs), and mechanical forces regulate their functions. To help both tubulin researchers and medicinal chemists, this review article lists 489 MAPs, 43 known enzymes that mediate PTMs, and 306 drugs that influence the functions of MTs and MAPs and discusses recent microtubule research. Readers are able to sort the list based on name, size, functions, related human diseases, and date of discovery. The list also contains links to Uniprot and Protein Atlas databases to access further details such as protein structure, associated proteins, subcellular localization, expression levels in cells and tissues, mutations, and pathology. Because the microtubule cytoskeleton is involved in many pathological processes such as tumorigenesis, invasion, and developmental diseases, small molecules that target on MT and MAPs hold potential to treat these diseases and are also listed.
From a Fluorenyl Substituted Ylide‐Functionalized Phosphine to a Neutral Phosphide via P−C Bond Cleavage
Authors: Löffler Julian , Gessner Viktoria H. 
Published: February 2023

AbstractBulky ylide‐substituted phosphines have recently found application as potent ligands in homogeneous catalysis. The attempted synthesis of the ylide‐substituted fluorenylphosphine YPhP(Cy)Flu [YPh=Cy3P(Ph)C; Flu=9‐methylfluorenyl] now resulted in the unexpected elimination of 9‐methylenefluorene during the deprotonation step of the intermediary α‐phosphino phosphonium salt to yield the secondary ylide‐substituted phosphine YPhP(Cy)H. This phosphine underwent formal H2 elimination under basic conditions to form a cyclic phosphonium ylide with a P−C−P−C four‐membered ring via deprotonation of one cyclohexyl group of the PCy3 moiety. Upon coordination to transition metals the secondary ylidylphosphine forms a neutral phosphide ligand by shift of the proton into the ylide‐backbone and formation of zwitterionic metal complexes.
Change in interpersonal problems and metacognitive beliefs as predictors of improvement in patients with generalized anxiety disorder
Authors: Strand Eivind R. , Hjemdal Odin , Anyan Frederick , Nordahl Henrik , Nordahl Hans M. 
Published: February 2023

AbstractIntroductionGeneralized anxiety disorder (GAD) is characterized by persistent worry and anxiety, often with a chronic course. We tested the role of two suggested underlying factors in GAD, interpersonal problems and negative metacognitive beliefs, as predictors of trait‐worry and trait‐anxiety.MethodsThe sample consisted of 56 patients with a primary diagnosis of GAD from a randomized controlled trial. We first estimated the proportion of variance lying between the higher level of the data structure to account for potential therapists' effects. Two hierarchical regression analyses were conducted testing change in interpersonal problems and negative metacognitive beliefs as predictors of change in trait‐worry and trait‐anxiety following treatment. Change in depression and anxiety symptoms was controlled.ResultsChange in negative metacognitive beliefs was the strongest predictor of improvement of both trait‐worry and trait‐anxiety. Change in interpersonal problems was not a unique predictor of change in trait‐worry but did make a significant and unique contribution to trait‐anxiety.ConclusionsNegative metacognitive beliefs may be important targets to improve trait‐worry and trait‐anxiety in GAD. Interpersonal problems may be relevant for trait‐anxiety but could also be a surface marker of higher order vulnerability factors. Implications for treatment are discussed.
Natural Pyranosyl Materials: Potential Applications in Solid‐State Batteries
Authors: Cao Yueyue , Zhang Guoqun , Zou Jincheng , Dai Huichao , Wang Chengliang 
Published: February 2023

AbstractSolid‐state batteries have become one of the hottest research areas today, due to the use of solid‐state electrolytes enabling the high safety and energy density. Because of the interaction with electrolyte salts and the abundant ion transport sites, natural polysaccharide polymers with rich functional groups such as −OH, −OR or −COO− etc. have been applied in solid‐state electrolytes and have the merits of possibly high ionic conductivity and sustainability. This review summarizes the recent progress of natural polysaccharides and derivatives for polymer electrolytes, which will stimulate further interest in the application of polysaccharides for solid‐state batteries.
Network traffic prediction model based on improved VMD and PSO‐ELM
Authors: Shi Jinmei , Zhou Jinghe , Feng Junying , Chen Huandong 
Published: February 2023

SummaryThe rapid update of computing power leads to exponential data traffic growth, and the incidence of network attacks is also increasing. It is significantly important to analyze and predict network traffic accurately in the early stage and take corresponding preventive measures. The existing network flow integrated forecasting models still have some bottlenecks that are difficult to solve, for example, the slow optimization speed of modal decomposition parameters, easy falling into local optimal solutions, the slow convergence speed of the training process, and poor generalization capability. In this paper, particle swarm optimization (PSO) is utilized to improve the parameters selection process of the variational mode decomposition (VMD) algorithm and the extreme learning machine (ELM) algorithm. First, the PSO‐VMD combined with multi‐scale permutation entropy (MPE) is utilized to decompose the original network flow, and multiple eigenmode components are obtained. Second, the PSO‐ELM is utilized to train the network traffic prediction model, and the PSO parameters in PSO‐ELM are updated through adaptive weight adjustment and synchronous learning factors to increase the training and prediction speed, and the component prediction results are reconstructed to get a high‐precision network flow forecasting result. Finally, through the prediction and verification of the public network flow data of the WIDE backbone, the result of this experiment indicates that the VMD‐PSO‐ELM can break through the bottlenecks of slow optimization speed of VMD decomposition parameters, reduce the computational complexity of ELM, accelerate the convergence speed, and increase the forecasting accuracy.
Immigration drives ship rat population irruptions in marginal high‐elevation habitat in response to pulsed resources
Authors: Carpenter Joanna K. , Monks Adrian , Innes John , Griffiths James , Anderson Dean 
Published: February 2023

AbstractPest animal populations, such as rodents, often irrupt in response to pulsed resources. However, few studies have considered how understanding the propagation of irruptions across landscapes could lead to more efficient pest suppression. Resource pulses might create temporary source–sink dynamics in heterogeneous environments, whereby reservoirs of animals living in high‐quality habitat increase and spill over into more marginal habitat. Low‐density populations in marginal habitat could also increase through in situ breeding by residents in response to increased food availability. Understanding the relative importance of these two nonmutually exclusive processes is important as pest outbreaks could potentially be more efficiently controlled by targeting source populations early in an outbreak. We used a Bayesian hierarchical model to estimate the importance of density‐dependent emigration from lower elevation habitats versus in situ breeding by resident animals to the population growth of invasive ship rats (Rattus rattus) in marginal, high elevation habitats during a pulsed resource event (beech seed mast). We found that emigration from lower elevations was important for facilitating rapid population growth at high elevations, enabling rats to reach peak densities of 10.6 rats ha−1. Without immigration, rats were predicted to reach peak densities of only 1.8 rats ha−1 at high elevation, given their densities in that habitat when we started monitoring (0.6 rats ha−1). This result suggests that rat control that targets low and mid‐elevations only may be sufficient to suppress irruptions in high‐elevation habitat if control effectively prevents immigration. Our study suggests spillover from higher quality habitats may enable outbreaks to rapidly propagate over landscapes. However, for r‐selected taxa such as rodents, even very low densities of animals living in marginal habitats can increase significantly when resource pulses occur, albeit at lower densities than for populations in higher quality habitat.
Identifying patients at risk: multi‐centre comparison of HeartMate 3 and HeartWare left ventricular assist devices
Authors: Numan Lieke , Zimpfer Daniel , Zadok Osnat Itzhaki Ben , Aarts Emmeke , Morshuis Michiel , Guenther Sabina P.W. , Riebandt Julia , Wiedemann Dominik , Ramjankhan Faiz Z. , Oppelaar Anne‐Marie , Ben‐Gal Tuvia , Ben‐Avraham Binyamin , Asselbergs Folkert W. , Schramm Rene , Van Laake Linda W. 
Published: February 2023

AbstractAimsSince the withdrawal of HeartWare (HVAD) from the global market, there is an ongoing discussion if and which patients require prophylactically exchange for a HeartMate 3 (HM3). Therefore, it is important to study outcome differences between HVAD and HM3 patients. Because centres differ in patient selection and standard of care, we performed a propensity score (PS)‐based study including centres that implanted both devices and aimed to identify which HVAD patients are at highest risk.Methods and resultsWe performed an international multi‐centre study (n = 1021) including centres that implanted HVAD and HM3. PS‐matching was performed using clinical variables and the implanting centre. Survival and complications were compared. As a sensitivity analysis, PS‐adjusted Cox regression was performed. Landmark analysis with conditional survival >2 years was conducted to evaluate long‐term survival differences. To identify which HVAD patients may benefit from a HM3 upgrade, Cox regression using pre‐operative variables and their interaction with device type was performed. Survival was significantly better for HM3 patients (P < 0.01) in 458 matched patients, with a median follow‐up of 23 months. Within the matched cohort, HM3 patients had a median age of 58 years, and 83% were male, 80% of the HVAD patients were male, with a median age of 59 years. PS‐adjusted Cox regression confirmed a significantly better survival for HM3 patients when compared with HVAD, with a HR of 1.46 (95% confidence interval 1.14–1.85, P < 0.01). Pump thrombosis (P < 0.01) and ischaemic stroke (P < 0.01) occurred less in HM3 patients. No difference was found for haemorrhagic stroke, right heart failure, driveline infection, and major bleeding. Landmark‐analysis confirmed a significant difference in conditional survival >2 years after implantation (P = 0.03). None of the pre‐operative variable interactions in the Cox regression were significant.ConclusionsHM3 patients have a significantly better survival and a lower incidence of ischaemic strokes and pump thrombosis than HVAD patients. This survival difference persisted after 2 years of implantation. Additional research using post‐operative variables is warranted to identify which HVAD patients need an upgrade to HM3 or expedited transplantation.
One‐Pot Synthesis of Benzodiazepines through RuII‐Catalyzed Regioselective [5+2] Annulation of N‐Aryl Amidines with Alkynyl Cyclobutyl Acetates
Authors: Shen Jian , Cui Bo , Huang Junwei , Lin Shenghui , Cui Xiuling 
Published: February 2023

AbstractA highly efficient strategy to construct benzo[d][1,3]diazepines via selective C−H bond activation of N‐aryl amidines and coupling with alkynyl cyclobutyl acetates was achieved successfully by RuII‐catalyzed [5+2] cyclization. This protocol features excellent regioselectivity, wide substrate tolerance, mild reaction conditions, which might be potentially applied in the discovery of lead compounds for the developing new drugs.
Pain paths among post‐COVID‐19 condition subjects: A prospective cross‐sectional study with in‐person evaluation
Authors: Kubota Gabriel T. , Soares Felipe H. C. , da Fonseca Alessandra S. , Rosa Talita dos Santos , da Silva Valquiria A. , Gouveia Gisele R. , Faria Viviane G. , da Cunha Pedro H. M. , Brunoni André R. , Teixeira Manoel J. , de Andrade Daniel C. 
Published: February 2023

AbstractBackgroundNew‐onset chronic pain has been acknowledged as part of the post‐COVID‐19 condition. However, available fine‐grained data about its clinical phenotype, trajectories and main associated characteristics remain scarce. We described the distinct temporal evolutions of post‐COVID‐19 pain and their epidemiological and phenotypical features.MethodsA prospective cross‐sectional study enrolled post‐COVID‐19 condition patients (i.e. who had persisting COVID‐19‐related symptoms over 30 days since their first positive laboratory test), whose COVID‐19 diagnosis had been supported by RT‐PCR of oral/nasopharyngeal swab or serology. They underwent in‐person evaluations with a structured interview, pain and quality‐of‐life‐related questionnaires and thorough physical examination. Chronic pain (CP) and probable neuropathic pain (NP) were defined according to IASP criteria.ResultsThe present study included 226 individuals, 177 (78.3%) of whom presented over 3 months since their first COVID‐19 symptom. New‐onset pain occurred in 170 (75.2%) participants and was chronic in 116 (68.2%). A chronic course was associated with COVID‐19‐related hospitalization, new‐onset fatigue, lower cognitive performance, motor and thermal sensory deficits, mood and sleep impairments and overall lower quality‐of‐life levels. Probable NP occurred in only 7.6% new‐onset pain patients, and was associated with pain chronification, new‐onset fatigue, motor and thermal sensory deficits, mechanical allodynia and lower rates of SARS‐CoV‐2 vaccination. Previous CP was reported by 86 (38.1%) individuals and had aggravated after the infection in 66 (76.7%) of them, which was associated with orthostatic hypotension.ConclusionsPost‐COVID pain phenomena follow different paths, which are associated with specific clinical and epidemiological features, and possibly distinct underlying mechanisms, prognostic and therapeutic implications.SignificanceCOVID‐19‐related pain usually follows a chronic course and is non‐neuropathic. Its possible courses and phenotypes are associated with distinct clinical and epidemiological features. This suggests differing underlying mechanisms, which may have significant prognostic and therapeutic implications.
Facile design of oxide‐derived Cu nanosheet electrocatalyst for CO2 reduction reaction
Authors: Jang Juhee , Zhu Shangqian , Delmo Ernest Pahuyo , Li Tiehuai , Zhao Qinglan , Wang Yinuo , Zhang Lili , Huang Hongwen , Ge Jingjie , Shao Minhua 
Published: February 2023

AbstractDespite of superior performance of the oxide‐derived copper (OD‐Cu) in producing valuable hydrocarbons during CO2RR, its fabrication process is still ambiguous and complicated. In this work, we develop a simple microwave‐assisted method to synthesize the oxide‐derived Cu nanosheet (OD‐Cu NS) and reveal that the oxidation state of Cu species is controlled by varying the Cu precursor amount. Notably, the simultaneous formation of nano‐sized Cu domains influence the surface roughness of OD‐Cu NS. The partially oxidized Cu surface exhibits a superior faradaic efficiency (FE) of C2+ products up to 72%, along with a partial current density of 55 mA cm−2 in a neutral KHCO3 solution. More importantly, the as‐obtained OD‐Cu NS shows a synergetic effect on dissociating of CO2 molecules by the strong binding energy and promoting of C2+ compounds productivity by the enlarged electrochemical surface area. This work provides a new insight for designing efficient OD‐Cu catalysts toward CO2RR.image
Forecasting stock return volatility: Realized volatility‐type or duration‐based estimators
Authors: Fei Tianlun , Liu Xiaoquan , Wen Conghua 
Published: February 2023

AbstractIn this paper, we study the predictive performance of two kinds of volatility estimators: the realized volatility (RV) type and duration‐based ones. This is motivated by the theoretical and empirical support for these distinct estimators. We use intraday data for 218 component stocks of the CSI 300 index in the Chinese equity market from 2010–2019 and perform in‐ and out‐of‐sample 1‐, 5‐, and 22‐day ahead volatility forecasts from combinations of volatility models and these estimators. We show that, although empirically more efficient with the US data, the duration‐based estimators fail to compete statistically, or in terms of economic value, with RV‐type ones in the Chinese market. We perform a comprehensive set of simulations to rationalize these results and show that duration‐based estimators underperform as they cannot handle the occasional heightened level of volatility in the Chinese market.