bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dopaminergic Modulation of Forced Running Performance in Adolescent Rats: Role of Striatal D1 and Extra-striatal D2 Dopamine Receptors
Authors: Toval Angel , Garrigos Daniel , Kutsenko Yevheniy , Popović Miroljub , Do-Couto Bruno Ribeiro , Morales-Delgado Nicanor , Tseng Kuei Y. , Ferran José Luis 
Published: January 2021

AbstractImproving exercise capacity during adolescence impacts positively on cognitive and motor functions. However, the neural mechanisms contributing to enhance physical performance during this sensitive period remain poorly understood. Such knowledge could help to optimize exercise programs and promote a healthy physical and cognitive development in youth athletes. The central dopamine system is of great interest because of its role in regulating motor behavior through the activation of D1 and D2 receptors. Thus, the aim of the present study is to determine whether D1 or D2 receptor signaling contributes to modulate the exercise capacity during adolescence and if this modulation takes place through the striatum. To test this, we used a rodent model of forced running wheel that we implemented recently to assess the exercise capacity. Briefly, rats were exposed to an 8-day period of habituation in the running wheel before assessing their locomotor performance in response to an incremental exercise test, in which the speed was gradually increased until exhaustion. We found that systemic administration of D1-like (SCH23390) and/or D2-like (raclopride) receptor antagonists prior to the incremental test reduced the duration of forced running in a dose-dependent manner. Similarly, locomotor activity in the open field was decreased by the dopamine antagonists. Interestingly, this was not the case following intrastriatal infusion of an effective dose of SCH23390, which decreased motor performance during the incremental test without disrupting the behavioral response in the open field. Surprisingly, intrastriatal delivery of raclopride failed to impact the duration of forced running. Altogether, these results indicate that the level of locomotor response to incremental loads of forced running in adolescent rats is dopamine dependent and mechanistically linked to the activation of striatal D1 and extra-striatal D2 receptors.
Mechanism of active silica nanofluids based on interface-regulated effect during spontaneous imbibition
Authors: Song Xu-Guang , Zhao Ming-Wei , Dai Cai-Li , Wang Xin-Ke , Lv Wen-Jiao 
Published: January 2021

AbstractThe ultra-low permeability reservoir is regarded as an important energy source for oil and gas resource development and is attracting more and more attention. In this work, the active silica nanofluids were prepared by modified active silica nanoparticles and surfactant BSSB-12. The dispersion stability tests showed that the hydraulic radius of nanofluids was 58.59 nm and the zeta potential was − 48.39 mV. The active nanofluids can simultaneously regulate liquid–liquid interface and solid–liquid interface. The nanofluids can reduce the oil/water interfacial tension (IFT) from 23.5 to 6.7 mN/m, and the oil/water/solid contact angle was altered from 42° to 145°. The spontaneous imbibition tests showed that the oil recovery of 0.1 wt% active nanofluids was 20.5% and 8.5% higher than that of 3 wt% NaCl solution and 0.1 wt% BSSB-12 solution. Finally, the effects of nanofluids on dynamic contact angle, dynamic interfacial tension and moduli were studied from the adsorption behavior of nanofluids at solid–liquid and liquid–liquid interface. The oil detaching and transporting are completed by synergistic effect of wettability alteration and interfacial tension reduction. The findings of this study can help in better understanding of active nanofluids for EOR in ultra-low permeability reservoirs.
Evaluating Biomass Ash Properties as Influenced by Feedstock and Thermal Conversion Technology towards Cement Clinker Production with a Lower Carbon Footprint
Authors: Tosti Lorenzo , van Zomeren André , Pels Jan R. , Comans Rob N. J. 
Published: January 2021

AbstractPurpose: This study evaluates the potential of biomass ash as raw clinker material and the influence of biomass feedstock and thermal conversion technology on biomass ash properties. Methods: A set of criteria for biomass feedstock and ash properties (i.e. CaO/SiO2 ratio and burnability) are established. A large dataset was collected and the best combination of biomass feedstock and conversion technology regarding the desired ash quality was identified. Results: Wood biomass has the highest potential to provide the right CaO/SiO2 ratio which is needed to form clinker minerals. Bark content and exogenous Si inclusion in wood biomass have a large influence on the CaO/SiO2 ratio. Paper sludge is composed of Ca, Si and Al and can potentially serve as a source of cement elements. Wood fly ash from pulverized fuel combustion can substitute a considerable amount of raw clinker materials due to its similar burnability. The replacement ratio is determined by the content of adverse elements in the ash (i.e. MgO2 and P2O5). Conclusion: Using biomass ash to lower the CO2 emission from clinker production depends on the joint effort of bioenergy producers, by providing higher quality biomass ash, and cement makers, by adapting the kiln operation to enable a high level of raw material replacement by biomass ash.The presented evaluation of the ash production chain, from biomass selection through combustion technology and ash management, provides new insights and recommendations for both stakeholders to facilitate this sustainable development.
Graphic Abstract
Caps-OWKG: a capsule network model for open-world knowledge graph
Authors: Wang Yuhan , Xiao Weidong , Tan Zhen , Zhao Xiang 
Published: January 2021

AbstractKnowledge graphs are typical multi-relational structures, which is consisted of many entities and relations. Nonetheless, existing knowledge graphs are still sparse and far from being complete. To refine the knowledge graphs, representation learning is utilized to embed entities and relations into low-dimensional spaces. Many existing knowledge graphs embedding models focus on learning latent features in close-world assumption but omit the changeable of each knowledge graph.In this paper, we propose a knowledge graph representation learning model, called Caps-OWKG, which leverages the capsule network to capture the both known and unknown triplets features in open-world knowledge graph. It combines the descriptive text and knowledge graph to get descriptive embedding and structural embedding, simultaneously. Then, the both above embeddings are used to calculate the probability of triplet authenticity. We verify the performance of Caps-OWKG on link prediction task with two common datasets FB15k-237-OWE and DBPedia50k. The experimental results are better than other baselines, and achieve the state-of-the-art performance.
Hydrochar-derived adsorbent for the removal of diclofenac from aqueous solution
Authors: Kimbi Yaah Velma Beri , Zbair Mohamed , Botelho de Oliveira Sérgio , Ojala Satu 
Published: January 2021

AbstractThe characteristics and diclofenac adsorption properties of a carbon adsorbent prepared from palm kernel shells were studied. The adsorbent prepared via hydrothermal carbonization followed by an activation in nitrogen flow had a mesoporous structure with homogenous pore distribution and the specific surface area of 131 m2g−1. The Raman spectra showed a formation of graphene or graphite structures in the material during activation with small number of defects based on its ID/IGratio of about 0.5. The FTIR analysis showed both a qualitative and quantitative decrease in the functional groups of the raw material after activation. The developed adsorbent was found to be effective in the removal of diclofenac with 95% maximum removal at pH 2, adsorbent dose of 15 gL−1and adsorbate dose of 50 mgL−1. Diclofenac adsorption followed the Langmuir isotherm model with correlation coefficient R2 > 0.98. The adsorption kinetics was explained by the second-order kinetic model with rate constant (K2) 0.869 min−1. The interaction via aromatic π–π stacking and hydrogen bonding between -OH groups of phenol and carboxylic acid groups of DCF are leading to a good adsorption efficiency despite of the low surface area of the adsorbent.Graphic abstract
Existential Approaches and Cognitive Behavior Therapy: Challenges and Potential
Authors: Heidenreich Thomas , Noyon Alexander , Worrell Michael , Menzies Ross 
Published: January 2021

AbstractExistential concerns such as death, responsibility, meaninglessness, and isolation not only are the hallmark of existential psychotherapy but also are frequently encountered by CBT therapists—nevertheless, due to epistemological and ideological differences, existential and CBT approaches to psychotherapy had little overlap historically. During recent years, existential issues are increasingly discussed in empirical clinical psychology, e.g., the potential role of the fear of death for a variety of mental disorders by Iverach et al. (Clinical Psychology Review, 34(7), 580–593, 2014), and there is increasing experimental evidence for a causal rather than correlational role of death anxiety discussed by Menzies and Dar-Nimrod (Journal of Abnormal Psychology, 126(4), 367–377, 2017). Further, existential concerns are common themes in CBT discussed by Grober et al. (Psychotherapeut, 61(3), 229–236, 2016) and may play an important role in the training of CBT therapists discussed by Worrell et al. (Journal of Psychotherapy and Counselling Psychology Reflections, 3(1), 9–16, 2018) as well as in personal therapy and supervision.
Ghost Imaging with Deep Learning for Position Mapping of Weakly Scattered Light Source
Authors: Mizutani Yasuhiro , Kataoka Shoma , Uenohara Tsutomu , Takaya Yasuhiro 
Published: January 2021

AbstractWe propose ghost imaging (GI) with deep learning to improve detection speed. GI, which uses an illumination light with random patterns and a single-pixel detector, is correlation-based and thus suitable for detecting weak light. However, its detection time is too long for practical inspection. To overcome this problem, we applied a convolutional neural network that was constructed based on a classification of the causes of ghost image degradation. A feasibility experiment showed that when using a digital mirror device projector and a photodiode, the proposed method improved the quality of ghost images.
Enhanced electrochemical performances of activated carbon (AC)-nickel-metal organic framework (SIFSIX-3-Ni) composite and ion-gel electrolyte based supercapacitor
Authors: Lee Kyu Seok , Seo Ye Ji , Jeong Hyeon Taek 
Published: January 2021

AbstractIn this study, we investigated that the activated carbon (AC)-based supercapacitor and introduced SIFSIX-3-Ni as a porous conducting additive to increase its electrochemical performances of AC/SIFSIX-3-Ni composite-based supercapacitor. The AC/SIFSIX-3-Ni composites are coated onto the aluminum substrate using the doctor blade method and conducted an ion-gel electrolyte to produce a symmetrical supercapacitor. The electrochemical properties of the AC/SIFSIX-3-Ni composite-based supercapacitor are evaluated through cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), and galvanostatic charge/discharge tests (GCD). The AC/SIFSIX-3-Ni composite-based supercapacitor showed reasonable capacitive behavior in various electrochemical measurements, including CV, EIS, and GCD. The highest specific capacitance of the AC/SIFSIX-3-Ni composite-based supercapacitor was 129 F g−1 at 20 mV s−1.
Data-Driven Requirements Elicitation: A Systematic Literature Review
Authors: Lim Sachiko , Henriksson Aron , Zdravkovic Jelena 
Published: January 2021

AbstractRequirements engineering has traditionally been stakeholder-driven. In addition to domain knowledge, widespread digitalization has led to the generation of vast amounts of data (Big Data) from heterogeneous digital sources such as the Internet of Things (IoT), mobile devices, and social networks. The digital transformation has spawned new opportunities to consider such data as potentially valuable sources of requirements, although they are not intentionally created for requirements elicitation. A challenge to data-driven requirements engineering concerns the lack of methods to facilitate seamless and autonomous requirements elicitation from such dynamic and unintended digital sources. There are numerous challenges in processing the data effectively to be fully exploited in organizations. This article, thus, reviews the current state-of-the-art approaches to data-driven requirements elicitation from dynamic data sources and identifies research gaps. We obtained 1848 hits when searching six electronic databases. Through a two-level screening and a complementary forward and backward reference search, 68 papers were selected for final analysis. The results reveal that the existing automated requirements elicitation primarily focuses on utilizing human-sourced data, especially online reviews, as requirements sources, and supervised machine learning for data processing. The outcomes of automated requirements elicitation often result in mere identification and classification of requirements-related information or identification of features, without eliciting requirements in a ready-to-use form. This article highlights the need for developing methods to leverage process-mediated and machine-generated data for requirements elicitation and addressing the issues related to variety, velocity, and volume of Big Data for the efficient and effective software development and evolution.
IL SISTEMA ELETTORALE RESTA CATTIVO
Authors: Sartori Giovanni 
Published: January 2021

Introduzione
Si è scritto da più parti che questa volta il Mattarellum ha funzionato,
visto che ha prodotto un sistema di alternanza bipolare fondato su adeguate
maggioranze di governo e quindi, presumibilmente, su governi stabili. Sì, un
governo che può contare su una maggioranza di 107 seggi alla Camera e di 46
seggi al Senato è un governo che dovrebbe durare per tutta la legislatura. E
anche il progresso bipolare delle elezioni del 2001 rispetto a quelle del
1994 e del 1996 è indubbio. In passato ai vincitori è sempre mancata una
maggioranza in una delle due Camere. E così come al governo Berlusconi del
‘94 occorreva il sostegno determinante di Bossi (che venne lestamente a
mancare), analogamente al governo dell'Ulivo occorreva il sostegno esterno
di Rifondazione Comunista (che venne gradualmente meno e che non ci fu mai
in politica atlantica). Questa volta non è più così. Questa volta Berlusconi
può tenere anche senza Bossi.
New signatures of the spin gap in quantum point contacts
Authors: Hudson K. L. , Srinivasan A. , Goulko O. , Adam J. , Wang Q. , Yeoh L. A. , Klochan O. , Farrer I. , Ritchie D. A. , Ludwig A. , Wieck A. D. , von Delft J. , Hamilton A. R. 
Published: January 2021

AbstractOne dimensional semiconductor systems with strong spin-orbit interaction are both of fundamental interest and have potential applications to topological quantum computing. Applying a magnetic field can open a spin gap, a pre-requisite for Majorana zero modes. The spin gap is predicted to manifest as a field dependent dip on the first 1D conductance plateau. However, disorder and interaction effects make identifying spin gap signatures challenging. Here we study experimentally and numerically the 1D channel in a series of low disorder p-type GaAs quantum point contacts, where spin-orbit and hole-hole interactions are strong. We demonstrate an alternative signature for probing spin gaps, which is insensitive to disorder, based on the linear and non-linear response to the orientation of the applied magnetic field, and extract a spin-orbit gap ΔE ≈ 500 μeV. This approach could enable one-dimensional hole systems to be developed as a scalable and reproducible platform for topological quantum applications.
Analysis of SARS-CoV-2 antibodies in COVID-19 convalescent blood using a coronavirus antigen microarray
Authors: de Assis Rafael R. , Jain Aarti , Nakajima Rie , Jasinskas Algis , Felgner Jiin , Obiero Joshua M. , Norris Philip J. , Stone Mars , Simmons Graham , Bagri Anil , Irsch Johannes , Schreiber Martin , Buser Andreas , Holbro Andreas , Battegay Manuel , Hosimer Philip , Noesen Charles , Adenaiye Oluwasanmi , Tai Sheldon , Hong Filbert , Milton Donald K. , Davies D. Huw , Contestable Paul , Corash Laurence M. , Busch Michael P. , Felgner Philip L. , Khan Saahir 
Published: January 2021

AbstractThe current practice for diagnosis of COVID-19, based on SARS-CoV-2 PCR testing of pharyngeal or respiratory specimens in a symptomatic patient at high epidemiologic risk, likely underestimates the true prevalence of infection. Serologic methods can more accurately estimate the disease burden by detecting infections missed by the limited testing performed to date. Here, we describe the validation of a coronavirus antigen microarray containing immunologically significant antigens from SARS-CoV-2, in addition to SARS-CoV, MERS-CoV, common human coronavirus strains, and other common respiratory viruses. A comparison of antibody profiles detected on the array from control sera collected prior to the SARS-CoV-2 pandemic versus convalescent blood specimens from virologically confirmed COVID-19 cases demonstrates near complete discrimination of these two groups, with improved performance from use of antigen combinations that include both spike protein and nucleoprotein. This array can be used as a diagnostic tool, as an epidemiologic tool to more accurately estimate the disease burden of COVID-19, and as a research tool to correlate antibody responses with clinical outcomes.
Pillar-beam structures prevent layered cathode materials from destructive phase transitions
Authors: Wang Yuesheng , Feng Zimin , Cui Peixin , Zhu Wen , Gong Yue , Girard Marc-André , Lajoie Gilles , Trottier Julie , Zhang Qinghua , Gu Lin , Wang Yan , Zuo Wenhua , Yang Yong , Goodenough John B. , Zaghib Karim 
Published: January 2021

AbstractEnergy storage with high energy density and low cost has been the subject of a decades-long pursuit. Sodium-ion batteries are well expected because they utilize abundant resources. However, the lack of competent cathodes with both large capacities and long cycle lives prevents the commercialization of sodium-ion batteries. Conventional cathodes with hexagonal-P2-type structures suffer from structural degradations when the sodium content falls below 33%, or when the integral anions participate in gas evolution reactions. Here, we show a “pillar-beam” structure for sodium-ion battery cathodes where a few inert potassium ions uphold the layer-structured framework, while the working sodium ions could diffuse freely. The thus-created unorthodox orthogonal-P2 K0.4[Ni0.2Mn0.8]O2 cathode delivers a capacity of 194 mAh/g at 0.1 C, a rate capacity of 84% at 1 C, and an 86% capacity retention after 500 cycles at 1 C. The addition of the potassium ions boosts simultaneously the energy density and the cycle life.
Directed transforming of coke to active intermediates in methanol-to-olefins catalyst to boost light olefins selectivity
Authors: Zhou Jibin , Gao Mingbin , Zhang Jinling , Liu Wenjuan , Zhang Tao , Li Hua , Xu Zhaochao , Ye Mao , Liu Zhongmin 
Published: January 2021

AbstractMethanol-to-olefins (MTO), the most important catalytic process producing ethylene and propylene from non-oil feedstocks (coal, natural gas, biomass, CO2, etc.), is hindered by rapid catalyst deactivation due to coke deposition. Common practice to recover catalyst activity, i.e. removing coke via air combustion or steam gasification, unavoidably eliminates the active hydrocarbon pool species (HCPs) favoring light olefins formation. Density functional theory calculations and structured illumination microscopy reveal that naphthalenic cations, active HCPs enhancing ethylene production, are highly stable within SAPO-34 zeolites at high temperature. Here, we demonstrate a strategy of directly transforming coke to naphthalenic species in SAPO-34 zeolites via steam cracking. Fluidized bed reactor-regenerator pilot experiments show that an unexpectedly high light olefins selectivity of 85% is achieved in MTO reaction with 88% valuable CO and H2and negligible CO2as byproducts from regeneration under industrial-alike continuous operations. This strategy significantly boosts the economics and sustainability of MTO process.
Pyrinap ligands for enantioselective syntheses of amines
Authors: Liu Qi , Xu Haibo , Li Yuling , Yao Yuan , Zhang Xue , Guo Yinlong , Ma Shengming 
Published: January 2021

AbstractAmines are a class of compounds of essential importance in organic synthesis, pharmaceuticals and agrochemicals. Due to the importance of chirality in many practical applications of amines, enantioselective syntheses of amines are of high current interest. Here, we wish to report the development of (R,Ra)-N-Nap-Pyrinap and (R,Sa)-N-Nap-Pyrinap ligands working with CuBr to catalyze the enantioselective A3-coupling of terminal alkynes, aldehydes, and amines affording optically active propargylic amines, which are platform molecules for the effective derivatization to different chiral amines. With a catalyst loading as low as 0.1 mol% even in gram scale reactions, this protocol is applied to the late stage modification of some drug molecules with highly sensitive functionalities and the asymmetric synthesis of the tubulin polymerization inhibitor (S)-(-)-N-acetylcolchinol in four steps. Mechanistic studies reveal that, unlike reported catalysts, a monomeric copper(I) complex bearing a single chiral ligand is involved in the enantioselectivity-determining step.
Homeostatic regulation of STING by retrograde membrane traffic to the ER
Authors: Mukai Kojiro , Ogawa Emari , Uematsu Rei , Kuchitsu Yoshihiko , Kiku Fumika , Uemura Takefumi , Waguri Satoshi , Suzuki Takehiro , Dohmae Naoshi , Arai Hiroyuki , Shum Anthony K. , Taguchi Tomohiko 
Published: January 2021

AbstractCoat protein complex I (COP-I) mediates the retrograde transport from the Golgi apparatus to the endoplasmic reticulum (ER). Mutation of the COPA gene, encoding one of the COP-I subunits (α-COP), causes an immune dysregulatory disease known as COPA syndrome. The molecular mechanism by which the impaired retrograde transport results in autoinflammation remains poorly understood. Here we report that STING, an innate immunity protein, is a cargo of the retrograde membrane transport. In the presence of the disease-causative α-COP variants, STING cannot be retrieved back to the ER from the Golgi. The forced Golgi residency of STING results in the cGAS-independent and palmitoylation-dependent activation of the STING downstream signaling pathway. Surf4, a protein that circulates between the ER/ ER-Golgi intermediate compartment/ Golgi, binds STING and α-COP, and mediates the retrograde transport of STING to the ER. The STING/Surf4/α-COP complex is disrupted in the presence of the disease-causative α-COP variant. We also find that the STING ligand cGAMP impairs the formation of the STING/Surf4/α-COP complex. Our results suggest a homeostatic regulation of STING at the resting state by retrograde membrane traffic and provide insights into the pathogenesis of COPA syndrome.