bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biohydrogen Production from Organic Waste – A Review
Authors: Sampath P. , Brijesh  , Reddy Kakarla Raghava , Reddy C. Venkata , Shetti Nagaraj P. , Kulkarni Raghavendra V. , Raghu Anjanapura V. 
Published: February 2020

AbstractHydrogen fuel is a promising alternative to fossil fuels because of its energy content, clean nature, and fuel efficiency. However, it is not readily available. Most current producion processes are very energy intensive and emit carbon dioxide. Therefore, this article reviews technological options for hydrogen production that are eco‐friendly and generate clean hydrogen fuel. Biological methods, such different fermentation processes and photolysis are discussed together with the required substrates and the process efficiency.
Exceptional Substrate Diversity in Oxygenation Reactions Catalyzed by a Bis(μ‐oxo) Copper Complex
Authors: Paul Melanie , Teubner Melissa , Grimm‐Lebsanft Benjamin , Golchert Christiane , Meiners Yannick , Senft Laura , Keisers Kristina , Liebhäuser Patricia , Rösener Thomas , Biebl Florian , Buchenau Sören , Naumova Maria , Murzin Vadim , Krug Roxanne , Hoffmann Alexander , Pietruszka Jörg , Ivanović‐Burmazović Ivana , Rübhausen Michael , Herres‐Pawlis Sonja 
Published: February 2020

AbstractThe enzyme tyrosinase contains a reactive side‐on peroxo dicopper(II) center as catalytically active species in C−H oxygenation reactions. The tyrosinase activity of the isomeric bis(μ‐oxo) dicopper(III) form has been discussed controversially. The synthesis of bis(μ‐oxo) dicopper(III) species [Cu2(μ‐O)2(L1)2](X)2 ([O1](X)2, X=PF6−, BF4−, OTf−, ClO4−), stabilized by the new hybrid guanidine ligand 2‐{2‐((dimethylamino)methyl)phenyl}‐1,1,3,3‐tetramethylguanidine (L1), and its characterization by UV/Vis, Raman, and XAS spectroscopy, as well as cryo‐UHR‐ESI mass spectrometry, is described. We highlight selective oxygenation of a plethora of phenolic substrates mediated by [O1](PF6)2, which results in mono‐ and bicyclic quinones and provides an attractive strategy for designing new phenazines. The selectivity is predicted by using the Fukui function, which is hereby introduced into tyrosinase model chemistry. Our bioinspired catalysis harnesses molecular dioxygen for organic transformations and achieves a substrate diversity reaching far beyond the scope of the enzyme.
Straying from the flatfish retinal plan: Cone photoreceptor patterning in the common sole (Solea solea) and the Senegalese sole (Solea senegalensis)
Authors: Frau Sara , Novales Flamarique Iñigo , Keeley Patrick W. , Reese Benjamin E. , Muñoz‐Cueto José A. 
Published: February 2020

AbstractThe retinas of nonmammalian vertebrates have cone photoreceptor mosaics that are often organized as highly patterned lattice‐like distributions. In fishes, the two main lattice‐like patterns are composed of double cones and single cones that are either assembled as interdigitized squares or as alternating rows. The functional significance of such orderly patterning is unknown. Here, the cone mosaics in two species of Soleidae flatfishes, the common sole and the Senegalese sole, were characterized and compared to those from other fishes to explore variability in cone patterning and how it may relate to visual function. The cone mosaics of the common sole and the Senegalese sole consisted of single, double, and triple cones in formations that differed from the traditional square mosaic pattern reported for other flatfishes in that no evidence of higher order periodicity was present. Furthermore, mean regularity indices for single and double cones were conspicuously lower than those of other fishes with “typical” square and row mosaics, but comparable to those of goldfish, a species with lattice‐like periodicity in its cone mosaic. Opsin transcripts detected by quantitative polymerase chain reaction (sws1, sws2, rh2.3, rh2.4, lws, and rh1) were uniformly expressed across the retina of the common sole but, in the Senegalese sole, sws2, rh2.4, and rh1 were more prevalent in the dorsal retina. Microspectrophotometry revealed five visual pigments in the retina of the common sole [S(472), M(523), M(536), L(559), and rod(511)] corresponding to the repertoire of transcripts quantified except for sws1. Overall, these results indicate a loss of cone mosaic patterning in species that are primarily nocturnal or dwell in low light environments as is the case for the common sole and the Senegalese sole. The corollary is that lattice‐like patterning of the cone mosaic may improve visual acuity. Ecological and physiological correlates derived from observations across multiple fish taxa that live in low light environments and do not possess lattice‐like cone mosaics are congruent with this claim.
A new approach to crop model calibration: Phenotyping plus post‐processing
Authors: Casadebaig Pierre , Debaeke Philippe , Wallach Daniel 
Published: February 2020

AbstractCrop models contain a number of genotype‐dependent parameters, which need to be estimated for each genotype. This is a major difficulty in crop modeling. We propose a hybrid method for adapting a crop model to new genotypes. The genotype‐dependent parameters of the model could be obtained by phenotyping (or gene‐based modeling). Then, field data (e.g., from variety trials) could be used to provide a simple empirical correction to the model, of the form a + b × an environmental variable. This approach combines the advantages of phenotyping, namely that the genotype‐specific parameters have a clear meaning and are comparable between genotypes, and the advantages of fitting the model to field data, namely that the corrected model is adapted to a specific target population. It has the advantage of being very simple to apply and furthermore gives useful information as to which environmental variables are not fully accounted for in the initial model. In this study, this empirical correction is applied to the SUNFLO crop model for sunflower (Helianthus annuus L.), using field data from a multi‐environment trial network. The empirical correction reduced mean squared error, on average, by 54% for prediction of yield and by 26% for prediction of oil content, compared with the initial model. Most of the improvement came from eliminating bias, with some further improvement from the environmental term in the regression.
Mobility and energy prediction models: Approach toward effective route management in mobile wireless sensor networks
Authors: Olakanmi Oladayo Olufemi , Odeyemi Kehinde Oluwasesan , Abbas Ashraf 
Published: February 2020

AbstractMobile wireless sensor network (MWSN), as a backbone of most communication and embedded systems, is characterized by low data delivery as a result of the energy constraint and in‐deterministic movement of the nodes. To select optimal route path for a reliable data routing, protocols need to select neighbouring nodes with low mobility and residual energy parameters along the route. However, obtaining these parameters from the targeted nodes may encourage mischievous nodes to manipulate their energy and mobility parameters in their favor, leading to the selection of non‐optimal route path and/or exposing the network to other attacks. Rather than depending on the targeted nodes for these parameters, they can be accurately and securely obtained by sink node or base station using effective predictive models. However, most of the existing predictive models engaged by MWSN routing protocols either provide only the energy level or mobility factor of the nodes for optimal route path selection. This, therefore, reduces the reliability of the obtained optimal route paths in terms of data delivery. In this article, we propose predictive models for an accurate prediction of mobility and residual energy parameters of nodes in MWSN for efficient route management. The models are simulated on an existing MWSN protocol to determine their performance. The simulation results show that the adoption of these models in the development of routing protocol will not only lead to optimal route paths' selection but also enhance data delivery rate in MWSN.
Combination of modified Mann‐Kendall method and Şen innovative trend analysis
Authors: Alashan Sadık 
Published: February 2020

AbstractMann‐Kendall (MK) trend test is frequently employed as the most familiar trend detection method. Its application requires serial independence of available hydrometeorological time series records. As suggested in the literature, the serial correlation effect can be removed from the given time series by using prewhitening, variance correction or overwhitening processes such as in the modified Mann‐Kendall (MMK) procedure. The PW process may cause some of the current trends to be removed along with the serial correlation. In this study, the MMK method is supported by Şen innovative trend analysis instead of Sen slope estimator (SSE). The MMK method is applied to monthly maximum temperatures of Oxford station in England, for which the data length is large and the moving trend slope values are calculated starting from 1854 for all durations between 1873 and 2017. The MMK_SSE and MMK_ITA methods yield significant increasing trends between 0.0037 and 0.0125°C/year annual slopes for January, March, May, July, August, September, October, November, December, but for February, there is not any significant trend. While MMK_SSE does not give any significant trend for April that has maximum positive kurtosis and skew, but MMK_ITA reflects an increasing trend of 0.0059°C per year.
Physical–microstructural evaluation and sulfate resistance of no‐cement mortar developed from a ternary binder of industrial by‐products
Authors: Hwang Chao‐Lung , Vo Duy‐Hai , Huynh Trong‐Phuoc 
Published: February 2020

AbstractThe present research evaluates the physical properties and microstructure of no‐cement mrtar specimens, which were developed using three waste materials, rice husk ash (RHA), ground granulated blast furnace slag (GGBFS), and circulating fluidized bed combustion fly ash (CFA), as binders. Various weight ratios of GGBFS/RHA were used (100/0, 15/85, 30/70, and 45/55), and CFA was added at ratios of 10, 15, and 20% of total binder weight. Slump flow and unit weight were used to evaluate the fresh properties of the no‐cement mortar samples, while hardened properties of the mortar samples were evaluated through compressive strength (CS) and drying shrinkage tests. In addition, scanning electron microscopy/energy dispersive spectrometer and X‐ray diffraction patterns were used to analyze the microstructure of the samples, while visual examination and loss CS tests were used to estimate sulfate resistance. As a result, the inclusion of RHA required a higher amount of superplasticizer in order to achieve a similar flowability with RHA‐free mortar and remarkably reduced the fresh unit weight of the mortar mixture. In addition, the partial replacement of GGBFS with RHA up to 30% improved the 120‐day CS of mortar specimens with 10, 15, and 20% CFA content by 8.8, 10.4, and 10.1%, respectively. Moreover, the developed no‐cement mortars exhibited excellent performance against sulfate attack. Higher CFA content in the mixtures also generated higher volumes of hydration products and ettringite gel, which further increased mortar strength.
Constructing secure‐channel free identity‐based encryption with equality test for vehicle‐data sharing in cloud computing
Authors: Vaanchig Nyamsuren , Qin Zhiguang , Ragchaasuren Batjargal 
Published: February 2020

AbstractWith the rapid rise of connected vehicles on the road, there is an exponential growth in vehicle‐related data (vehicle‐data) generated and accumulated by connected vehicles. Taking advantage of cloud computing, enabling a vehicle‐data sharing system can make various services based on vehicle‐data available. However, the untrusted nature of the cloud server raises a challenge on how to balance privacy and functionality over the vehicle‐data outsourced to the vehicle‐data sharing system. Identity‐based encryption with equality test (IBEET) is a viable solution to this challenge as it not only ensures data privacy but also enables searchable functionality over the encrypted data while dealing with the certificate management issue that exists in public key encryption with equality test (PKEET). However, the existing IBEET schemes are unable to be applicable into the vehicle‐data sharing in cloud computing due to the fact that they did not consider the consequences of unexpected exposure of trapdoors given to cloud server and different levels of computing capabilities of the system entities. Therefore, this article introduces the notion of secure‐channel‐free IBEET (SCF‐IBEET) scheme and presents a generic construction of the SCF‐IBEET scheme by addressing the above‐mentioned issues simultaneously. The proposed SCF‐IBEET construction achieves one‐wayness under chosen‐identity and chosen‐ciphertext attacks, indistinguishability under chosen‐identity and chosen‐ciphertext attacks, and trapdoor anonymity securities with respect to five different types of adversaries. Furthermore, the security comparison and efficiency analysis indicate that the proposed construction is reasonable with regard to security and viable in terms of efficiency to be applied to practical scenarios as vehicle‐data sharing in cloud computing.
Effects of metals released in strong‐flavor baijiu on the evolution of aroma compounds during storage
Authors: Huang Zhangjun , Zeng Yunhang , Liu Wenhu , Wang Songtao , Shen Caihong , Shi Bi 
Published: February 2020

AbstractStorage is essential in improving the quality of strong‐flavor baijiu (SFB). Here, we investigated the release behaviors of metals from containers into SFB and their effects on the evolution of aroma compounds during storage. Twenty‐six metals were identified in SFB samples. The concentrations of Na, K, Ca, Mg, Al, and Fe obviously increased after storing in pottery jar, whereas those of Fe and Cu greatly increased after storing in stainless‐steel vessel. The volatility of most esters, alcohols, ketone, furan, and aldehyde decreased, whereas that of most acids increased after adding the metal ions into fresh SFB. The fluorescence intensity of SFB decreased with increased aging time in pottery jar, whereas the fluorescence intensity of acids was quenched with adding Fe3+ and Cu2+. All these results suggested that some metals released from containers had binding affinities with acids, thereby reducing SFB organoleptic stimulation by forming metal‐aroma compound complexes during storage.
Astrocytic expression of ZIP14 (SLC39A14) is part of the inflammatory reaction in chronic neurodegeneration with iron overload
Authors: Routhe Lisa J. , Andersen Ida K. , Hauerslev Lissa V. , Issa Issa I. , Moos Torben , Thomsen Maj S. 
Published: February 2020

AbstractNeurodegeneration is associated with inflammation and mismanaged iron homeostasis, leading to increased concentration of non‐transferrin‐bound iron (NTBI) in the brain. NTBI can be taken up by cells expressing Zrt‐, Irt‐like protein‐14 (ZIP14), which is regulated by iron overload and pro‐inflammatory cytokines, for example, interleukin‐1β (IL‐1β) and IL‐6. Here, we focus on the astrocytic involvement and regulation of ZIP14 in an experimental model of chronic neurodegeneration with inflammation and iron overload. Rats were unilaterally injected with ibotenic acid in striatum resulting in excitotoxicity‐induced neuronal loss in substantia nigra pars reticulata (SNpr). ZIP14 expression was measured in SNpr using immunohistochemistry, western blotting, and RT‐qPCR. Cultures of primary astrocytes were examined for Zip14 mRNA expression after stimulation with ferric ammonium citrate (FAC), IL‐6, or IL‐1β. To study the involvement of ZIP14 in astrocytic iron uptake, uptake of 59Fe was investigated after treatment with IL‐1β and siRNA‐mediated ZIP14 knockdown. In the lesioned SNpr, reactive astrocytes, but not microglia, revealed increased ZIP14 expression with a main confinement to cell bodies and cellular processes. In astrocyte cultures, FAC and IL‐1β stimulation increased Zip14 expression and IL‐1β stimulation increased uptake of 59Fe. Increased 59Fe uptake was also observed after siRNA‐mediated ZIP14 knockdown suggesting that lowering of ZIP14 impaired the balance between astrocytic uptake and export of iron. We conclude that astrocytes increase ZIP14 expression in response to inflammation and iron exposure and that ZIP14 seems pertinent for iron uptake in astrocytes and plays a role for a balanced astrocytic iron homeostasis.
Comparative characterization and functional genomic analysis of two Comamonas sp. strains for biodegradation of quinoline
Authors: Zhang Xuwang , Zhang Lizhi , Wu Minghuo , Tang Qidong , Song Zhaojian , Zhou Hao , Bao Yongming , Liu Lifen , Qu Yuanyuan 
Published: February 2020

AbstractBACKGROUNDQuinoline is an ubiquitous pollutant widely spread in the environment, which can be eliminated efficiently by microbial degradation. In this study, two quinoline‐degrading Comamonas sp. strains Z1 and Z3 were isolated from activated sludge, and the degradation characteristics and genome annotation were investigated in detail.RESULTSStrain Z1 exhibited a superior capacity for quinoline degradation, which could completely degrade 50–300 mg L−1 quinoline within 8–24 h, whereas strain Z3 required 14–36 h to remove 50–200 mg L−1 quinoline. The suitable pHs for strains Z1 and Z3 were 8.0 and 7.0, respectively, and metal ions such as Mn2+, Ni2+, Cu2+, Co2+ and Hg2+ could greatly inhibit bacterial growth and quinoline degradation. Intermediates of 2‐hydroxyquinoline, 2,8‐dihydroxyquinoline, 8‐hydroxycoumarin, 2,3‐dihydroxyphenylpropionic acids and 2‐hydroxy‐6‐oxonona‐2,4‐diene‐1,9‐dioate were detected by liquid chromatography coupled to Q‐Exactive high‐resolution mass spectrometry. Thus, the biodegradation of quinoline by Comamonas sp. strains possibly proceeded via the 8‐hydroxycoumarin pathway. Genomic sequencing of strains Z1 and Z3 revealed a similar pattern, and a large number of functional genes were predicted to participate in degradation of aromatics. The key genes responsible for quinoline degradation also were identified, such as qor, mhp and bph. Furthermore, quinoline 2‐oxidoreductase (Qor) from strains Z1 and Z3 displayed 47.74%–61.17% similarities with previously reported Qor, which catalyzed the first step of quinoline degradation, and the maximal specific activity in cell‐free extracts of strains Z1 and Z3 was 0.264 and 0.062 U mg protein−1, respectively.CONCLUSIONThis study should provide efficient microbial resources and useful genomic information for quinoline bioremediation. © 2020 Society of Chemical Industry
Ethanol exposure during the brain growth spurt affects social behavior and increases susceptibility to acute ethanol effects during adolescence in male mice
Authors: Demarque Kelly C. , Dutra‐Tavares Ana C. , Nunes‐Freitas André L. , Araújo Ulisses C. , Manhães Alex C. , Abreu‐Villaça Yael , Filgueiras Cláudio C. , Ribeiro‐Carvalho Anderson 
Published: February 2020

AbstractThe brain is particularly vulnerable to ethanol effects during its growth spurt. Outcomes of early ethanol exposure such as hyperactivity have been extensively investigated; however, persons with fetal alcohol spectrum disorder frequently have social impairments and are heavy drinkers. Despite that, scant information is available regarding the neurobiological basis of these latter behavioral issues. Here, Swiss mice exposed to ethanol (Etoh, 5 g/kg i.p., alternate days) or saline during the brain growth spurt [postnatal day (PN) 2 to 8] were used to assess social behavior after an ethanol challenging during adolescence. At PN39, animals were administered with a single ethanol dose (1 g/Kg) or water by gavage and were then evaluated in the three‐chamber sociability test. We also evaluated corticosterone serum levels and the frontal cerebral cortex serotoninergic system. Etoh males showed reductions in sociability. Ethanol challenging reverted these alterations in social behavior, reduced corticosterone levels, and increased the 5‐HT2 receptor binding of male Etoh mice. No alterations were observed in 5‐HT and 5‐HIAA contents. These data support the idea that ethanol exposure during the brain growth spurt impacts social abilities during adolescence, alters ethanol reexposure effects, and suggests that stress response and serotoninergic system play roles in this phenomenon.
A comparison of nitrate removal and denitrifying bacteria populations among three wetland plant communities
Authors: Gordon Brad A. , Lenhart Christian , LaPara Timothy M. 
Published: February 2020

AbstractReed canary grass (Phalaris arundinacea L.) is an invasive, cool‐season grass commonly dominating wetlands with high nutrient loads. Its impact on nitrogen removal via denitrification in wetlands is unknown. Most studies of denitrification in treatment wetlands have focused on the effects of physical or chemical variables and not on the effects of plant roots on the soil environment. The purpose of this study was to measure effects of plant type on denitrification rates in typical wetland soils of the midwestern United States by comparing wet prairie mix, switchgrass‐dominated, and reed canary grass plant communities. Nitrate (NO3−) removal and other parameters were measured in miniature wetlands, or mesocosms, containing each plant community transplanted from a small agricultural treatment wetland in southern Minnesota. Quantitative polymerase chain reaction analysis was used to quantify the total bacteria population (measured with 16S rRNA genes) and denitrifying gene abundance (measured with nosZ genes) from the rhizosphere of each plant community. The wet prairie mix mesocosms on average removed the most NO3− in each test (p = .01 and .08). Whereas the wet prairie mix removed the most NO3− from the surface water (p < .01), reed canary grass removed more from the subsurface (p < .01). Ratios of denitrifying to total bacteria were higher in the wet prairie mix than in the other communities’ root zones (p < .05). Results suggest that reed canary grass invasion could reduce denitrification in wetlands, especially during the spring and fall when it is growing but other plants are dormant.
A yeast‐based complementation assay elucidates the functional impact of 200 missense variants in human PSAT1
Authors: Sirr Amy , Lo Russell S. , Cromie Gareth A. , Scott Adrian C. , Ashmead Julee , Heyesus Mirutse , Dudley Aimée M. 
Published: February 2020

AbstractDefects in serine biosynthesis resulting from loss of function mutations in PHGDH, PSAT1, and PSPH cause a set of rare, autosomal recessive diseases known as Neu‐Laxova syndrome (NLS) or serine‐deficiency disorders. The diseases present with a broad range of phenotypes including lethality, severe neurological manifestations, seizures, and intellectual disability. However, because L‐serine supplementation, especially if started prenatally, can ameliorate and in some cases even prevent symptoms, knowledge of pathogenic variants is medically actionable. Here, we describe a functional assay that leverages the evolutionary conservation of an enzyme in the serine biosynthesis pathway, phosphoserine aminotransferase, and the ability of the human protein‐coding sequence (PSAT1) to functionally replace its yeast ortholog (SER1). Results from our quantitative, yeast‐based assay agree well with clinical annotations and expectations based on the disease literature. Using this assay, we have measured the functional impact of the 199 PSAT1 variants currently listed in ClinVar, gnomAD, and the literature. We anticipate that the assay could be used to comprehensively assess the functional impact of all SNP‐accessible amino acid substitution mutations in PSAT1, a resource that could aid variant interpretation and identify potential NLS carriers.