bluuebunny/crossref_metadata_2025_split huggingface dataset:
A facile method for generating polypyrrole microcapsules and their application in electrochemical sensing
Authors: Pinyou Piyanut , Blay Vincent , Monkrathok Jirawan , Janphuang Pattanaphong , Chansaenpak Kantapat , Pansalee Jaruwan , Lisnund Sireerat 
Published: October 2022

AbstractA facile and rapid strategy to generate polypyrrole microcapsules is reported. The strategy is compatible with a vortex mixer and with a microfluidic chip for droplet generation, allowing a > 100-fold reduction in particle size. The sub-micron particle sizes obtained can also be tuned to some extent based on the chip geometry. The capsules can be kept stably in solution and can be transferred onto electrochemical devices. As an application example, we casted the polypyrrole capsules generated onto screen-printed electrodes, leading to a significant increase in their electroactive surface area and capacitance. The electrodes were further modified with glucose dehydrogenase (GDH) to fabricate glucose biosensors. The introduction of polypyrrole microcapsules increased the dynamic range of the glucose sensor to ca. 300% compared with that of the electrode without polypyrrole microcapsules. The resulting glucose sensor is operated at a constant applied potential of 0.20 V vs. Ag/AgCl (3 M KCl) in an air-equilibrated electrolyte. At this potential, the sensor showed a linear range from 1.0 to 9.0 mM glucose with a sensitivity of 3.23 µA cm−2 mM−1(R2 = 0.993). The limit of detection obtained was 0.09 mM, and the reproducibility was 3.6%. The method allows generating polypyrrole microcapsules without surfactants or organic solvents and may enable new opportunities in the design of biosensors, electronic devices, and molecular delivery.Graphical abstract
Structural perturbations of substrate binding and oxidation state changes in a lytic polysaccharide monooxygenase
Authors: Walton Paul H. , Davies Gideon J. 
Published: October 2022

AbstractLPMOs are enzymes which catalyse the oxidation of a C-H bond within polysaccharides, leading to their oxidative cleavage. To achieve this, LPMOs employ highly reactive oxidising intermediates, the generation of which is likely coupled to substrate binding to the enzyme. The nature of this coupling is unknown. Here we report a statistical comparison for four three-dimensional structures of an AA9 LPMO crystallised in the same space group but in different oxidation and substrate-binding states, to determine which significant structural perturbations occur at the enzyme upon either oxidation state change or the binding of substrate. In a novel step, we determine the global random error associated with the positional coordinates of atoms using the method of moments to ascertain the statistical estimators of Gaussian distributions of pairwise RMS differences between individual atoms in different structures. The results show that a change in the oxidation state of the copper leads to no significant structural changes, and that binding of the substrate leads to a single change in the conformation of a tryptophan residue. This tryptophan has previously been identified as part of a charge transfer pathway between the active site and the external surface of the protein, and the structural change identified herein may be part of the substrate-enzyme coupling mechanism.
Graphical abstract
Can serious games measure your cognitive profile in adults? An innovative proposal to evaluate and stimulate cognitive skills
Authors: Garmen Pablo , Areces Débora , García Trinidad , San-Pedro Juan Carlos , Rodríguez Celestino 
Published: October 2022

AbstractThe Theory of multiple intelligences suggests that it is necessary to develop new methods to assess and conceptualise the human intellect. It is envisaged that serious games can offer an alternative form of evaluation, as game designers can create gameplay environments that incorporate the different intelligences into clues, puzzles and game challenges, so that players can not only acquire knowledge, social support and self-efficacy, but also easily evaluate their skills and abilities. This study aims to analyse the classificatory precision of cognitive profiles acquired from the use of a serious game based on multiple intelligences as well as examine the agreement between the serious game results and a self-report questionnaire. The sample consisted of 209 participants (22.5% men), aged between 19 and 59 years (M = 22.83, SD = 6.36) from secondary to higher education. The results revealed that the serious game presented a different classification capacity compared to the self-report questionnaire. The possibility of identifying different cognitive profiles would have implications for educators and researchers. For educators, it would allow the incorporation of more individualised and inclusive education practices, by adapting teaching methods to each student’s learning style. For researchers, it would shed light on the various structures of multiple intelligences in different samples.
Seaweed for climate mitigation, wastewater treatment, bioenergy, bioplastic, biochar, food, pharmaceuticals, and cosmetics: a review
Authors: Farghali Mohamed , Mohamed Israa M. A. , Osman Ahmed I. , Rooney David W. 
Published: October 2022

AbstractThe development and recycling of biomass production can partly solve issues of energy, climate change, population growth, food and feed shortages, and environmental pollution. For instance, the use of seaweeds as feedstocks can reduce our reliance on fossil fuel resources, ensure the synthesis of cost-effective and eco-friendly products and biofuels, and develop sustainable biorefinery processes. Nonetheless, seaweeds use in several biorefineries is still in the infancy stage compared to terrestrial plants-based lignocellulosic biomass. Therefore, here we review seaweed biorefineries with focus on seaweed production, economical benefits, and seaweed use as feedstock for anaerobic digestion, biochar, bioplastics, crop health, food, livestock feed, pharmaceuticals and cosmetics. Globally, seaweeds could sequester between 61 and 268 megatonnes of carbon per year, with an average of 173 megatonnes. Nearly 90% of carbon is sequestered by exporting biomass to deep water, while the remaining 10% is buried in coastal sediments. 500 gigatonnes of seaweeds could replace nearly 40% of the current soy protein production. Seaweeds contain valuable bioactive molecules that could be applied as antimicrobial, antioxidant, antiviral, antifungal, anticancer, contraceptive, anti-inflammatory, anti-coagulants, and in other cosmetics and skincare products.
Collaborative Work with Highly Automated Marine Navigation Systems
Authors: Veitch Erik , Dybvik Henrikke , Steinert Martin , Alsos Ole Andreas 
Published: October 2022

AbstractIn navigation applications, Artificial Intelligence (AI) can improve efficiency and decision making. It is not clear, however, how designers should account for human cooperation when integrating AI systems in navigation work. In a novel empirical study, we examine the transition in the maritime domain towards higher levels of machine autonomy. Our method involved interviewing technology designers (n = 9) and navigators aboard two partially automated ferries (n = 5), as well as collecting field observations aboard one of the ferries. The results indicated a discrepancy between how designers construed human-AI collaboration compared to navigators’ own accounts in the field. Navigators reflected upon their role as one of ‘backup,’ defined by ad-hoc control takeovers from the automation. Designers positioned navigators ‘in the loop’ of a larger control system but discounted the role of in-situ skills and heuristic decision making in all but the most controlled takeover actions. The discrepancy shed light on how integration of AI systems may be better aligned to human cooperation in navigation. This included designing AI systems that render computational activities more visible and that incorporate social cues that articulate human work in its natural setting. Positioned within the field of AI alignment research, the main contribution is a formulation of human-AI interaction design insights for future navigation and control room work.
Genomic prediction of drought tolerance during seedling stage in maize using low-cost molecular markers
Authors: Zhang Ao , Chen Shan , Cui Zhenhai , Liu Yubo , Guan Yuan , Yang Shuang , Qu Jingtao , Nie Juchao , Dang Dongdong , Li Cong , Dong Xiaomei , Fan Jinjuan , Zhu Yanshu , Zhang Xuecai , Crossa Jose , Cao Huiying , Ruan Yanye , Zheng Hongjian 
Published: October 2022

AbstractDrought tolerance in maize is a complex and polygenic trait, especially in the seedling stage. In plant breeding, complex genetic traits can be improved by genomic selection (GS), which has become a practical and effective breeding tool. In the present study, a natural maize population named Northeast China core population (NCCP) consisting of 379 inbred lines were genotyped with diversity arrays technology (DArT) and genotyping-by-sequencing (GBS) platforms. Target traits of seedling emergence rate (ER), seedling plant height (SPH), and grain yield (GY) were evaluated under two natural drought stress environments in northeast China. Adequate genetic variations were observed for all the target traits, but they were divergent across environments. Similarly, the heritability of the target trait also varied across years and environments, the heritabilities in 2019 (0.88, 0.82, 0.85 for ER, SPH, GY) were higher than those in 2020 (0.65, 0.53, 0.33) and cross-2-years (0.32, 0.26, 0.33). In total, three marker datasets, 11,865 SilicoDArT markers obtained from the DArT-seq platform, 7837 SNPs obtained from the DArT-seq platform, and 91,003 SNPs obtained from the GBS platform, were used for GS analysis after quality control. The results of phylogenetic trees showed that broad genetic diversity existed in the NCCP population. Genomic prediction results showed that the average prediction accuracies estimated using the DArT SNP dataset under the two-fold cross-validation scheme were 0.27, 0.19, and 0.33, for ER, SPH, and GY, respectively. The result of SilicoDArT is close to the SNPs from DArT-seq, those were 0.26, 0.22, and 0.33. For the trait with lower heritability, the prediction accuracy can be improved using the dataset filtered by linkage disequilibrium. For the same trait, the prediction accuracies estimated with two DArT marker datasets were consistently higher than that estimated with the GBS SNP dataset under the same genotyping cost. The prediction accuracy was improved by controlling population structure and marker quality, even though the marker density was reduced. The prediction accuracies were improved by more than 30% using the significant-associated SNPs. Due to the complexity of drought tolerance under the natural stress environments, multiple years of data need to be accumulated to improve prediction accuracy by reducing genotype-by-environment interaction. Modeling genotype-by-environment interaction into genomic prediction needs to be further developed for improving drought tolerance in maize. The results obtained from the present study provides valuable pathway for improving drought tolerance in maize using GS.
N-doped carbon materials produced by CVD with the compounds derived from LDHs
Authors: Pacuła Aleksandra , Drelinkiewicz Alicja , Ruggiero-Mikołajczyk Małgorzata , Pietrzyk Piotr , Socha Robert P. , Krzan Marcel , Nattich-Rak Małgorzata , Duraczyńska Dorota , Bielańska Elżbieta , Zimowska Małgorzata 
Published: October 2022

AbstractLayered double hydroxides (LDHs) of various compositions, i.e. Mg–Al, Mg–Mn–Al, are applied as the precursors of metal oxides for the preparation of N-doped carbon materials via chemical vapour deposition (CVD) with acetonitrile (as carbon and nitrogen source) at 600 and 700 °C. The use of Mn-containing LDHs for the preparation of the carbon materials is a novelty. The impact of transition metal species, i.e. MnxOy, in a blend of metal oxides derived from LDHs on the amount of carbon deposit and its composition, morphology, textural and capacitive properties is investigated. Mn-containing species occurring in a mixture of metal oxides enhance the quantity of carbonaceous product compared to those derived from Mg–Al LDHs. Thermally heated Mg–Mn–Al LDHs contain structural defects due to manganese oxides, which promote the formation of carbon deposit, especially higher production of amorphous carbons. The addition of Mn into Mg–Al LDHs matrix leads to carbon particles with increased N-doping and enhanced volume of mesopores. Furthermore, graphitic domains occurring in the carbon materials obtained with Mg–Mn–Al LDHs are thicker than those in the corresponding samples obtained with Mg–Al LDHs as Mn-containing species influence the concentration and location of N-containing groups in graphitic array. The specific capacitance of the carbon materials produced by CVD with the compounds derived from Mg–Al LDHs or Mg–Mn–Al LDHs is comparable (20–25 μF cm−2). The formation of electrical double layer at electrode/electrolyte interface is easier for the carbon materials prepared at 700 °C than for the carbon materials prepared at 600 °C. The maximum charge is stored either in the shallow parts of carbon particles for the former, as they contain bottleneck mesopores, or in the deep parts of carbon particles for the latter, as they contain slit-shaped mesopores.

Graphical abstract
Optimization of biocorrosion resistance and mechanical properties of PM Ti–XAl–2Fe–3Cu alloys by response surface methodology
Authors: Najafizadeh Mojtaba , Ghasempour-Mouziraji Mehran , Hosseinzadeh Morteza , Yazdi Sahar , Sarrafan Ahmadreza , Bozorg Mansoor , Cavaliere Pasquale , Laska Aleksandra , Szkodo Marek 
Published: October 2022

AbstractIn the current study, the biocorrosion resistance and mechanical properties of the Ti–XAl–2Fe–3Cu (wt%) (X = 6, 4, 2 wt%) alloy produced by powder compact extrusion of blended elemental powders were optimized by using the response surface methodology in order to gain the best combination of processing parameters. To run the optimization process, central composite design with three equal levels of oxygen, hydrogen and aluminum was used and, by employing ANOVA, the analysis of variance was implemented. The results showed that the content of aluminum has a significant effect on the microstructure, mechanical properties, biocorrosion resistance and fracture behavior of the extruded rods. The highest aluminum content corresponds to the highest alloy strength and biocorrosion resistance. This was due to the reduction of the lamella thickness and of the material colonies as the aluminum content increases. Also, by running the experimental and optimization tests, the mechanical properties resulted 1245 MPa in yield strength and 1340 MPa in ultimate tensile strength with 0.1 µAcm−2 in corrosion current.
Aspirin/PLGA coated 3D-printed Ti-6Al-4V alloy modulate macrophage polarization to enhance osteoblast differentiation and osseointegration
Authors: You Yapeng , Wang Wanmeng , Li Ying , Song Yunjia , Jiao Jian , Wang Yao , Chen Bo , Liu Jialin , Qi Hui , Liang Yu 
Published: October 2022

AbstractAlthough titanium (Ti) and Ti-based alloy have been widely used as dental and orthopedic implant materials, its bioinertness hindered the rapid osseointegration. Therefore, it is recommended to acquire ideal topographic and chemical characteristics through surface modification methods. 3D printing is a delicate manufacture technique which possesses superior controllability and reproducibility. While aspirin serve as a well-established non-steroidal anti-inflammatory agent. Recently, the importance of immune system in regulating bone dynamics has attracted increasing attention. We herein superimposed the aspirin/poly (lactic–co–glycolic acid) (ASP/PLGA) coating on the 3D-printed Ti-6Al-4V surface with uniform micro-structure to establish the Ti64-M-ASP/PLGA substrate. Scanning electron microscopy (SEM), x-ray photoelectron spectroscopy (XPS) and contact angle test confirmed the successful fabrication of the Ti64-M-ASP/PLGA substrate, with increased wettability and sustained release pattern of ASP. Compared with the Ti64 base material, the Ti64-M-ASP/PLGA substrate showed enhanced M2 and depressed M1 genes and proteins expressions in macrophages. The novel Ti64-M-ASP/PLGA substrate also displayed enhanced osteoblast proliferation, adhesion, extracellular mineralization ability and osteogenic gene expressions when cultured with macrophage conditioned medium in vitro. Furthermore, rat femora implantation model was used for in vivo evaluation. After 4 weeks of implantation, push out test, micro-computed tomography (micro-CT) and histological analyses all confirmed the superior osseointegration capabilities of the Ti64-M-ASP/PLGA implant than the other groups. Our study revealed the synergistic role played by 3D-printed micro topography and immunoregulatory drug aspirin in promoting osteogenesis in vitro and accelerating osseointegration in vivo, thus providing a promising method for better modifying the implant surface.
Latest Results from the CUORE Experiment
Authors: Nutini I. , Adams D. Q. , Alduino C. , Alfonso K. , Avignone F. T. , Azzolini O. , Bari G. , Bellini F. , Benato G. , Beretta M. , Biassoni M. , Branca A. , Brofferio C. , Bucci C. , Camilleri J. , Caminata A. , Campani A. , Canonica L. , Cao X. G. , Capelli S. , Cappelli L. , Cardani L. , Carniti P. , Casali N. , Celi E. , Chiesa D. , Clemenza M. , Copello S. , Cremonesi O. , Creswick R. J. , D’Addabbo A. , Dafinei I. , Dell’Oro S. , Domizio S. Di , Dompè V. , Fang D. Q. , Fantini G. , Faverzani M. , Ferri E. , Ferroni F. , Fiorini E. , Franceschi M. A. , Freedman S. J. , Fu S. H. , Fujikawa B. K. , Ghislandi S. , Giachero A. , Gironi L. , Giuliani A. , Gorla P. , Gotti C. , Gutierrez T. D. , Han K. , Hansen E. V. , Heeger K. M. , Huang R. G. , Huang H. Z. , Johnston J. , Keppel G. , Kolomensky Yu. G. , Kowalski R. , Ligi C. , Liu R. , Ma L. , Ma Y. G. , Marini L. , Maruyama R. H. , Mayer D. , Mei Y. , Moggi N. , Morganti S. , Napolitano T. , Nastasi M. , Nikkel J. , Nones C. , Norman E. B. , Nucciotti A. , O’Donnell T. , Ouellet J. L. , Pagan S. , Pagliarone C. E. , Pagnanini L. , Pallavicini M. , Pattavina L. , Pavan M. , Pessina G. , Pettinacci V. , Pira C. , Pirro S. , Pozzi S. , Previtali E. , Puiu A. , Quitadamo S. , Rosenfeld C. , Rusconi C. , Sakai M. , Sangiorgio S. , Schmidt B. , Scielzo N. D. , Sharma V. , Singh V. , Sisti M. , Speller D. , Surukuchi P. T. , Taffarello L. , Terranova F. , Tomei C. , Vetter K. J. , Vignati M. , Wagaarachchi S. L. , Wang B. S. , Welliver B. , Wilson J. , Wilson K. , Winslow L. A. , Zimmermann S. , Zucchelli S. 
Published: October 2022

AbstractThe Cryogenic Underground Observatory for Rare Events (CUORE) is the first cryogenic experiment searching for $$0\nu \beta \beta $$

0
ν
β
β

decay that has been able to reach the one-tonne mass scale. The detector, located at the Laboratori Nazionali del Gran Sasso (LNGS) in Italy, consists of an array of 988 $${\mathrm{TeO}}_{2}$$

TeO
2

crystals arranged in a compact cylindrical structure of 19 towers. CUORE began its first physics data run in 2017 at a base temperature of about 10 mK and in April 2021 released its $$3{\mathrm{rd}}$$

3
rd

result of the search for $$0\nu \beta \beta $$

0
ν
β
β

, corresponding to a tonne-year of $$\mathrm{TeO}_{2}$$

TeO
2

exposure. This is the largest amount of data ever acquired with a solid state detector and the most sensitive measurement of $$0\nu \beta \beta $$

0
ν
β
β

decay in $${}^{130}\mathrm{Te}$$

130

Te

ever conducted . We present the current status of CUORE search for $$0\nu \beta \beta $$

0
ν
β
β

with the updated statistics of one tonne-yr. We finally give an update of the CUORE background model and the measurement of the $${}^{130}\mathrm{Te}$$

130

Te

$$2\nu \beta \beta $$

2
ν
β
β

decay half-life and decay to excited states of $${}^{130}\mathrm{Xe}$$

130

Xe

, studies performed using an exposure of 300.7 kg yr.
Zero-average Bias Bidirectional Single-electron Current Generation in a Hybrid Turnstile
Authors: Marín-Suárez Marco , Pashkin Yuri A. , Peltonen Joonas T. , Pekola Jukka P. 
Published: October 2022

AbstractHybrid turnstiles have proven to generate accurate single-electron currents. The usual operation consists of applying a periodic modulation to a capacitively coupled gate electrode and requires a nonzero DC source-drain bias voltage. Under this operation, a current of the same magnitude and opposite direction can be generated by flipping the polarity of the bias. Here, we demonstrate that accurate single-electron currents can be generated under zero average bias voltage. We achieve this by applying an extra periodic modulation with twice the frequency of the gate signal and zero DC level to the source electrode. This creates a time interval, which is otherwise zero, between the crossings of tunnelling thresholds that enable single-electron tunnelling. Furthermore, we show that within this operation the current direction can be reversed by only shifting the phase of the source signal.
Addendum to “uniqueness of unconditional basis of infinite direct sums of quasi-Banach spaces”
Authors: Albiac F. , Ansorena J. L. 
Published: October 2022

AbstractAfter [Uniqueness of unconditional basis of infinite direct sums of quasi-Banach spaces, Positivity 26 (2022), Paper no. 35] was published, we realized that Theorem 4.2 therein, when combined with work of Casazza and Kalton (Israel J. Math. 103:141–175, 1998) , solves the long-standing problem whether there exists a quasi-Banach space with a unique unconditional basis whose Banach envelope does not have a unique unconditional basis. Here we give examples to prove that the answer is positive. We also use auxiliary results in the aforementioned paper to give a negative answer to the question of Bourgain et al. (Mem Am Math Soc 54:iv+111, 1985)*Problem 1.11 whether the infinite direct sum $$\ell _{1}(X)$$

ℓ
1

(
X
)

of a Banach space X has a unique unconditional basis whenever X does.
Precursors of reading text comprehension from paper and screen in first graders: a longitudinal study
Authors: Florit Elena , De Carli Pietro , Rodà Antonio , Domenicale Samantha , Mason Lucia 
Published: October 2022

AbstractResearch on text comprehension in relation to the reading medium (paper or screen) has mainly involved undergraduate or high school students. To advance current knowledge on the effects of reading medium, this longitudinal study focused on beginner readers, specifically, the role of precursors in first graders’ comprehension of narrative and expository linear texts from reading on paper and computer screen. Working memory and inference skills as cognitive precursors and basic digital skills were measured at the end of preschool (T1); reading text comprehension and word reading, as a control variable, were measured at the end of the first grade (T2). Sixty-three children participated in total. The first graders read four texts, one narrative and one expository, on both paper and computer screen, in a counterbalanced order. Results showed no main effects of the reading medium or text genre, but the interactive effect of these variables was significant. At T2, the children had higher comprehension scores after reading narrative than descriptive texts from paper. In addition, reading from the screen was preferred at post-test, after all texts were presented. As precursors, working memory and inference skills predicted both printed and digital text comprehension. In contrast, basic digital skills predicted only digital text comprehension after controlling for medium, text genre, and word reading.