bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detailing the visco‐elastic origin of thermo‐mechanical training of twisted and coiled polymer fiber artificial muscles
Authors: Nishimura Yasuhiro , Spinks Geoffrey M. 
Published: February 2022

AbstractArtificial muscles made be twisting and coiling polymer fibers provide outstanding performance. However, these materials show inconsistency in their non‐loaded length that depends on their thermo‐mechanical history. Typically, this behavior has been treated by “training” the samples before any actuation testing. A change in sample length occurs during training but remains consistent during subsequent heat/cool cycles at the same applied load. In this study, the training effect is investigated for a twisted and coiled nylon yarn heated over two temperature ranges: 25–50°C and 50–75°C. The training effect was most obvious in the lower temperature range, but nearly absent in the higher temperature range. When loaded below the glass transition temperature (Tg ~ 40°C) the viscoelastic strain occurs slowly but is rapidly released when the sample is first heated above Tg. The net effect of the first heating through Tg after loading is a small length change because the contraction due to actuation is offset by the expansion due to the release of the viscoelastic strain. A simple spring and dashpot model was developed and by changing only two relaxation times it was possible to simulate the observed training phenomena.
Structural basis for peptide recognition by archaeal oligopeptide permease A
Authors: Yokoyama Hideshi , Kamei Nanami , Konishi Keijiro , Hara Kodai , Ishikawa Yoshinobu , Matsui Ikuo , Forterre Patrick , Hashimoto Hiroshi 
Published: February 2022

AbstractOligopeptide permease A (OppA) plays an important role in the nutrition of cells and various signaling processes. In archaea, OppA is a major protein present in membrane vesicles of Thermococcales. Because there being no crystal structures of archaeal OppAs determined to date, we report the crystal structure of archaeal OppA from Thermococcus kodakaraensis (TkOppA) at 2.3 Å resolution by the single‐wavelength anomalous dispersion method. TkOppA consists of three domains similarly to bacterial OppAs, and the inserted regions not present in bacterial OppAs are at the periphery of the core region. An endogenous pentapeptide was bound in the pocket of domains I and III of TkOppA by hydrogen bonds of main‐chain atoms of the peptide and hydrophobic interactions. No hydrogen bonds of side‐chain atoms of the peptide were observed; thus, TkOppA may have low peptide selectivity but some preference for residues 2 and 3. TkOppA has a relatively large pocket and can bind a nonapeptide; therefore, it is suitable for the binding of large peptides similarly to OppAs of Gram‐positive bacteria.
Using an incomplete block design to allocate lines to environments improves sparse genome‐based prediction in plant breeding
Authors: Montesinos‐Lopez Osval Antonio , Montesinos‐Lopez Abelardo , Acosta Ricardo , Varshney Rajeev K. , Bentley Alison , Crossa Jose 
Published: February 2022

AbstractGenomic selection (GS) is a predictive methodology that trains statistical machine‐learning models with a reference population that is used to perform genome‐enabled predictions of new lines. In plant breeding, it has the potential to increase the speed and reduce the cost of selection. However, to optimize resources, sparse testing methods have been proposed. A common approach is to guarantee a proportion of nonoverlapping and overlapping lines allocated randomly in locations, that is, lines appearing in some locations but not in all. In this study we propose using incomplete block designs (IBD), principally, for the allocation of lines to locations in such a way that not all lines are observed in all locations. We compare this allocation with a random allocation of lines to locations guaranteeing that the lines are allocated to the same number of locations as under the IBD design. We implemented this benchmarking on several crop data sets under the Bayesian genomic best linear unbiased predictor (GBLUP) model, finding that allocation under the principle of IBD outperformed random allocation by between 1.4% and 26.5% across locations, traits, and data sets in terms of mean square error. Although a wide range of performance improvements were observed, our results provide evidence that using IBD for the allocation of lines to locations can help improve predictive performance compared with random allocation. This has the potential to be applied to large‐scale plant breeding programs.
Efficacy of amino acid grafted sodium alginate under different oxidation methods for swelling and sustained release
Authors: Pan Ting , Zhu Yuanzheng , Cheng Ping , Chen Chunguang , Zhang Shuping 
Published: February 2022

AbstractFor drug encapsulation, sodium alginate (SA) has attracted a considerable attention due to its swelling and sustained‐release properties. Oxidative grafting is an effective way to modify SA. In this work, using amino acid as a monomer, and hydrogen peroxide (H2O2), sodium periodate (NaIO4) as two oxidants, two composite materials of SA‐H2O2‐(tyrosine‐proline) (OSA‐[Tyr‐Pro]) and SA‐NaIO4‐(tyrosine‐proline) (ADA‐[Tyr‐Pro]) were synthesized. FTIR, UV spectroscopy, XRD, SEM and TGA were used to characterize the oxidative grafting process. The results of swelling and release study showed that in pure water, the sustained release time of OSA‐(Tyr‐Pro) was 45 h, i.e., five times that of SA. The swelling ratio of ADA‐(Tyr‐Pro) in pure water was 178.85%, which was 109.15% higher than that of SA. The environment of strong acid/alkali/high‐concentration salt solution would increase the swelling rate of the material as a whole and shorten the sustained release time. But OSA‐(Tyr‐Pro) had the best slow‐release performance while ADA‐(Tyr‐Pro) had the best swelling performance regardless of the environment. Based on the favorable properties of the two composite materials, it would open the field of encapsulated sustained‐release drugs with different requirements.
Wie Erzählungen Hinweise auf psychische Störungen geben können
Authors: Pfeifer Lisa 
Published: February 2022

ZusammenfassungAls Ausgangspunkt dieser Arbeit dienen Ansätze, die eine narrative Perspektive für das Verständnis von Psychopathologie und die psychotherapeutische Praxis vorschlagen. Im Hinblick auf die Fragen, welche Vorteile die Analyse von Patient*innenerzählungen bieten kann, und durch welche Merkmale psychopathologische Narrative sich auszeichnen, wird ein Überblick über ausgewählte Fallberichte, empirische Untersuchungen und theoretische Überlegungen gegeben. Diese werden unter den drei Kategorien Kohärenz, „Agency“ und Perspektiven beschrieben. Die Arbeit mag einen Impuls geben, ein tieferes Verständnis für narrative Dysfunktionen zu entwickeln und ihre Ursprünge sowie ihre Bedeutung für psychische Störungen und deren Behandlung vermitteln.
Modelling to analyse the process and sustainability performance of forestry-based bioenergy systems
Authors: Martinez-Hernandez Elias , Sadhukhan Jhuma , Aburto Jorge , Amezcua-Allieri Myriam A. , Morse Stephen , Murphy Richard 
Published: February 2022

Abstract
This study develops a novel mathematical modelling framework for biomass combined heat and power systems (CHP) that links biomass and process characteristics to sustainability assessment of the life cycle. A total of twenty-nine indicators for the process (four-indicators), economic (five-indicators), environmental (eight-indicators) and social global (five-indicators) and local (seven-indicators) aspects have been analysed for sustainability. These are technological: biomass throughput, electricity and steam generations and CHP efficiency; economic: internal rate of return, capital, operating and feedstock costs and cost of production; environmental: global warming, fossil, land and water use, acidification, urban smog, eutrophication and ecotoxicity potentials; social (global): labour rights and decent work, health & safety, human rights, governance and community infrastructure; social (local): total forest land, direct/indirect jobs, gender equality and energy-water-sanitation access for communities, from biomass characteristics (carbon and hydrogen contents), energy demands and economic parameters. This paper applies the developed methodology to a case study in Mexico. From 12.47 kt/year forestry residue, 1 MWe is generated with an associated low-pressure steam generation of 50 kt/year, at the cost of production of $0.023/kWh. This makes the energy provision “affordable and clean” for marginalised/poor communities (the UN Sustainable Development Goals, SDG7). Bioenergy can curb > 90% of the greenhouse gas emissions and primary energy use, 6 kt CO2 eq and 74 TJ annually. Bioenergy reduces other environmental impacts considerably, water consumption, acidification and eutrophication by 87–53%, and urban smog and ecotoxicity by 29–18%. Bioenergy can improve all five social themes in the Central American cluster countries. In addition to the SDG7, the forestry-based bioenergy system can also achieve the SDG6: "clean water and sanitation for all".

Graphical abstract
Random iteration on hyperbolic Riemann surfaces
Authors: Abate Marco , Christodoulou Argyrios 
Published: February 2022

AbstractLet $$\{f_\nu \}\subset \mathop {\mathrm {Hol}}\nolimits (X,X)$$

{

f
ν

}

⊂
Hol

(
X
,
X
)

be a sequence of holomorphic self-maps of a hyperbolic Riemann surface X. In this paper we shall study the asymptotic behaviour of the sequences obtained by iteratively left-composing or right-composing the maps $$\{f_\nu \}$$

{

f
ν

}

; the sequences of self-maps of X so obtained are called left (respectively, right) iterated function systems. We shall obtain the analogue for left iterated function systems of the theorems proved by Beardon, Carne, Minda and Ng for right iterated function systems with value in a Bloch domain; and we shall extend to the setting of general hyperbolic Riemann surfaces results obtained by Short and the second author in the unit disk $$\mathbb {D}$$
D
for iterated function systems generated by maps close enough to a given self-map.
Blood Vessel Detection Algorithm for Tissue Engineering and Quantitative Histology
Authors: Adamo A. , Bruno A. , Menallo G. , Francipane M. G. , Fazzari M. , Pirrone R. , Ardizzone E. , Wagner W. R. , D’Amore A. 
Published: February 2022

AbstractImmunohistochemistry for vascular network analysis plays a fundamental role in basic science, translational research and clinical practice. However, identifying vascularization in histological tissue images is time consuming and markedly depends on the operator’s experience. In this study, we present “blood vessel detection—BVD”, an automatic algorithm for quantitative analysis of blood vessels in immunohistochemical images. BVD is based on extraction and analysis of low-level image features and spatial filtering techniques, which do not require a training phase. BVD algorithm performance was comparatively evaluated on histological sections from three different in vivo experiments. Collectively, 173 independent images were analyzed, and the algorithm's results were compared to those obtained by human operators. The developed BVD algorithm proved to be a robust and versatile tool, being able to quantify number, area, and spatial distribution of blood vessels within all three considered histologic datasets. BVD is provided as an open-source application working on different operating systems. BVD is supported by a user-friendly graphical interface designed to facilitate large-scale analysis.
Lateral flow immunoassay for small-molecules detection in phytoproducts: a review
Authors: Nuntawong Poomraphie , Putalun Waraporn , Tanaka Hiroyuki , Morimoto Satoshi , Sakamoto Seiichi 
Published: February 2022

AbstractPhytoproducts are involved in various fields of industry. Small-molecule (Mw < 900 Da) organic compounds can be used to indicate the quality of plant samples in the perspective of efficacy by measuring the necessary secondary metabolites and in the perspective of safety by measuring the adulterant level of toxic compounds. The development of reliable detection methods for these compounds in such a complicated matrix is challenging. The lateral flow immunoassay (LFA) is one of the immunoassays well-known for its simplicity, portability, and rapidity. In this review, the general principle, components, format, and application of the LFA for phytoproducts are discussed.
Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies
Authors: Juarez-Orozco Luis Eduardo , Klén Riku , Niemi Mikael , Ruijsink Bram , Daquarti Gustavo , van Es Rene , Benjamins Jan-Walter , Yeung Ming Wai , van der Harst Pim , Knuuti Juhani 
Published: February 2022

Abstract
Purpose of Review
As machine learning-based artificial intelligence (AI) continues to revolutionize the way in which we analyze data, the field of nuclear cardiology provides fertile ground for the implementation of these complex analytics. This review summarizes and discusses the principles regarding nuclear cardiology techniques and AI, and the current evidence regarding its performance and contribution to the improvement of risk prediction in cardiovascular disease.

Recent Findings and Summary
There is a growing body of evidence on the experimentation with and implementation of machine learning-based AI on nuclear cardiology studies both concerning SPECT and PET technology for the improvement of risk-of-disease (classification of disease) and risk-of-events (prediction of adverse events) estimations. These publications still report objective divergence in methods either utilizing statistical machine learning approaches or deep learning with varying architectures, dataset sizes, and performance. Recent efforts have been placed into bringing standardization and quality to the experimentation and application of machine learning-based AI in cardiovascular imaging to generate standards in data harmonization and analysis through AI. Machine learning-based AI offers the possibility to improve risk evaluation in cardiovascular disease through its implementation on cardiac nuclear studies.

Graphical Abstract
AI in improving risk evaluation in nuclear cardiology. * Based on the 2019 ESC guidelines
Coral assemblages of the Serpukhovian–Bashkirian transition from Adarouch (Morocco)
Authors: Rodríguez Sergio , Said Ismail , Somerville Ian D. , Cózar Pedro , Coronado Ismael 
Published: February 2022

AbstractThe Carboniferous outcrops from Adarouch (central Morocco) are composed of siliciclastic and carbonate rocks, and the latter have yielded abundant fossils. The upper part of the marine succession in the Idmarrach Formation and its laterally equivalent Tirhela Formation belong to the Bashkirian. More recent investigations of poorly preserved coral assemblages from the upper part of Idmarrach 2 section and the upper part of the Tirhela Formation are here described. The assemblage from the upper Idmarrach Formation comprises several typical Mississippian taxa, such asAulophyllum fungites,Dibunophyllum bipartitum,Koninckophyllum interruptum, Siphonodendron scaleberenseandLithostrotion decipiens,and some highly evolved forms previously undescribed of Mississippian genera such asHaplolasmasp.,Arachnolasmasp.,Siphonodendronsp.,Diphyphyllumsp.,Solenodendronsp.,Clisiophyllumsp. and a new speciesCorwenia tirhelensissp. nov. In addition, an undetermined petalaxid has been also recorded. Similarly, the assemblage from near the top of the Tirhela Formation yielded some species regarded usually as Mississippian, such asPalaeosmilia murchisoniandLithostrotion decipiens. We also identified the long-ranging tabulateSyringoporasp.,Corwenia tirhelensissp. nov., and a single species of the fasciculate rugosan,Siphonodendron tindoufense,previously described from Bashkirian rocks in the Tindouf Basin (southern Morocco). The presence of the latter taxon in both the Idmarrach and Tirhela sections implies a communication between the Adarouch region and the Saharan basins. The occurrence ofS. tindoufenseat the approximately same stratigraphic level in Tindouf, Taoudenni, Reggan-Ahnet and Adarouch, demonstrates its important regional stratigraphic value in North Africa.
Mediation of arsenic mobility by organic matter in mining-impacted sediment from sub‐Arctic lakes: implications for environmental monitoring in a warming climate
Authors: Miller Clare B. , Parsons Michael B. , Jamieson Heather E. , Ardakani Omid H. , Patterson R. Timothy , Galloway Jennifer M. 
Published: February 2022

AbstractArsenic (As) is commonly sequestered at the sediment–water interface (SWI) in mining-impacted lakes through adsorption and/or co-precipitation with authigenic iron (Fe)-(oxy)hydroxides or sulfides. The results of this study demonstrate that the accumulation of organic matter (OM) in near-surface sediments also influences the mobility and fate of As in sub-Arctic lakes. Sediment gravity cores, sediment grab samples, and porewaters were collected from three lakes downstream of the former Tundra gold mine, Northwest Territories, Canada. Analysis of sediment using combined micro-X-ray fluorescence/diffraction, K-edge X-ray Absorption Near-Edge Structure (XANES), and organic petrography shows that As is associated with both aquatic (benthic and planktonic alginate) and terrestrially derived OM (e.g., cutinite, funginite). Most As is hosted by fine-grained Fe-(oxy)hydroxides or sulfide minerals (e.g., goethite, orpiment, lepidocrocite, and mackinawite); however, grain-scale synchrotron-based analysis shows that As is also associated with amorphous OM. Mixed As oxidation states in porewater (median = 62% As (V), 18% As (III); n = 20) and sediment (median = 80% As (-I) and (III), 20% As (V); n = 9) indicate the presence of variable redox conditions in the near-surface sediment and suggest that post-depositional remobilization of As has occurred. Detailed characterization of As-bearing OM at and below the SWI suggests that OM plays an important role in stabilizing redox-sensitive authigenic minerals and associated As. Based on these findings, it is expected that increased concentrations of labile OM will drive post-depositional surface enrichment of As in mining-impacted lakes and may increase or decrease As flux from sediments to overlying surface waters.
Wettability alteration process at pore-scale during engineered waterflooding using computational fluid dynamics
Authors: Chen Yongqiang , Chang Ping , Xu Guang , Xie Quan 
Published: February 2022

AbstractEngineered waterflooding modifies chemistry of injected brine to efficiently and environmentally friendly enhance oil recovery. The common practice of engineered waterflooding includes low salinity waterflooding (LSW) and carbonated waterflooding. Among these oil recovery methods, wettability alteration has been perceived as a critical physicochemical process for additional oil recovery. While extensive work has been conducted to characterize the wettability alteration, the existing theory cannot explain the conflict oil recovery between secondary mode (injecting engineered water at the very beginning of flooding) and tertiary mode (injecting engineered water after conventional waterflooding), where secondary engineered waterflooding always gives a greater incremental oil recovery than tertiary mode. To explain this recovery difference, a preferential flow channel was hypothesized to be created by secondary flooding, which likely reduces sweep efficiency of tertiary flooding. To test this hypothesis, computational fluid dynamic simulations were performed with finite volume method coupled with dynamic contact angles in OpenFOAM to represent wettability characteristics (from strongly oil-wet to strongly water-wet) at pore scale to quantify the role of pre-existing flow channel in the oil recovery at different flooding modes. The simulation results showed that secondary engineered waterflooding indeed generates a preferential flow pathway, which reduces recovery efficiency of subsequent tertiary waterflooding. Streamline analysis confirms that tertiary engineered waterflooding transports faster than secondary engineered waterflooding, implying that sweep efficiency of tertiary engineered waterflooding is lower than secondary engineered waterflooding. This work provides insights for a greater oil recovery at secondary mode than tertiary mode during engineered waterflooding at pore scale.
The Anisian continental-marine transition in Sardinia (Italy): state of the art, new palynological data and regional chronostratigraphic correlation
Authors: Stori L. , Diez J. B. , Juncal M. , De la Horra R. , Borruel-Abadía V. , Martín-Chivelet J. , Barrenechea J. F. , López-Gómez J. , Ronchi A. 
Published: February 2022

AbstractThe scarce evidence of paleontological records between the upper Permian and the Anisian (Middle Triassic) of Western Europe could reflect (1) large stratigraphic gaps in the continental successions and/or (2) the persistence of disturbed conditions after the Permian–Triassic Boundary extinction event and the succession of ecological crises that occurred during the Early Triassic. In this context, the study of palynological associations, integrated with the stratigraphical and sedimentological data, plays a key role in dating and correlating the successions of the Western European domain and improves our understanding of environmental and paleoclimatic conditions. In some cases, pre-Anisian paleontological evidence is lacking, as in Sardinia (Italy), where a long gap encompasses the middle Permian (pars) to late Lower Triassic successions. Although fragmented and disseminated, the continental Lower-Middle Triassic sedimentary successions (Buntsandstein) of Sardinia have proved crucial to our understanding of the evolution of the southern edge of the Paleo-Europe and the different timings of the Tethys transgression (Muschelkalk facies) in some of these areas. Various paleogeographic reconstructions were attempted in previous works, without providing any consensus on the precise position of Sardinia and its surrounding seaways in the Western Tethys domain during this time interval. At present, the configuration and distribution of the subsiding and emerging landmasses and the temporal development of the transgressions of the Western Tethys during the Middle Triassic remain unclear. This work focuses on the stratigraphical, sedimentological and palynological aspects of three Middle Triassic continental-marine sedimentary successions in Sardinia, with particular attention to the analysis of the palynological associations sampled there, and it also provides a detailed review of all previous palynological publications on the Sardinian Anisian. The studied successions are: Su Passu Malu section (Campumari, SW Sardinia), Arcu is Fronestas section and Escalaplano section (Escalaplano, Central Sardinia). These sections were also correlated to other significant sections in the SW (Scivu Is Arenas) and NW (Nurra) parts of the island.